重要文獻集中區_Oral Cancer

重要文獻集中區_Oral Cancer

由 sufang 在 二, 09/16/2014 – 14:01 發表 

Recent update on 2015/05/12

04/09/2014
Asia/Taipei


Bookmark/Search this post with
  • Favorite
  •  

  • Google Buzz
  •  

  • MySpace
  •  

  • Yahoo

#1由 EVKVLIN 在 二, 05/12/2015 – 10:08 發表。

2014/04/23  Seminar

2014/04/23 Seminar Announcement

Topic:  A Paracrinal Ineterleukin-6-Mediated Epigenetic Regulation of MiR142-3p Promotes Tumor Initiation in Malignant Glioma

Speaker: Dr.Shih-Hwa Chiou 陽明邱世華 醫師
Professor, The Institute of Pharmacology, National Yang-Ming University
Physcian Attending, Department of Medical Research and Education, Taipei Veterans General Hospital

#2由 EVKVLIN 在 二, 05/12/2015 – 09:44 發表。

張書銘老師部分

2014/5/5
PLoS One. 2014 May 5;9(5):e96507. doi: 10.1371/journal.pone.0096507. eCollection 2014.
Huang CC1, Lee WT1, Tsai ST1, Ou CY1, Lo HI1, Wong TY2, Fang SY1, Chen KC2, Huang JS2, Wu JL1, Yen CJ3, Hsueh WT4, Wu YH4, Yang MW4, Lin FC4, Chang JY5, Chang KY5, Wu SY3, Hsiao JR1, Lin CL6, Wang YH7, Weng YL7, Yang HC7, Chang JS7.
Author information
    1Department of Otolaryngology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
    2Department of Stomatology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
    3Division of Hematology/Oncology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
    4Department of Radiation Oncology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
    5Division of Hematology/Oncology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan.
    6Department of Nursing, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
    7National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan.
 
Abstract
BACKGROUND:
The current study evaluated the association between tea consumption and head and neck cancer (HNC) in Taiwan, where tea is a major agricultural product and a popular beverage.
METHODS:
Interviews regarding tea consumption (frequency, duration, and types) were conducted with 396 HNC cases and 413 controls. Unconditional logistic regression was performed to estimate the odds ratio (OR) and 95% confidence interval (CI) of HNC risk associated with tea drinking, adjusted for sex, age, education, cigarette smoking, betel quid chewing, and alcohol drinking.
RESULTS:
A reduced HNC risk associated with tea drinking (OR for every cup per day = 0.96, 95% CI: 0.93-0.99; OR for ≧5 cups per day = 0.60, 95% CI: 0.39-0.94) was observed. The association was especially significant for pharyngeal cancer (OR for every cup per day = 0.93, 95% CI: 0.88-0.98; OR for ≧5 cups per day = 0.32, 95% CI: 0.16-0.66). A significant inverse association between HNC and tea consumption was observed particularly for green tea.
CONCLUSIONS:
This study suggests that tea drinking may reduce the risk of HNC. The anticancer property of tea, if proven, may offer a natural chemopreventive measure to reduce the occurrence of HNC. PMID:24796481

#3由 EVKVLIN 在 二, 05/12/2015 – 09:38 發表。

2014/11 楊順發老師新作!

PLoS One. 2014 Nov 25;9(11):e113129. doi: 10.1371/journal.pone.0113129. eCollection 2014.
High level of plasma matrix metalloproteinase-11 is associated with clinicopathological characteristics in patients with oral squamous cell carcinoma.
Hsin CH1, Chen MK2, Tang CH3, Lin HP1, Chou MY4, Lin CW4, Yang SF5.
Author information
Abstract
BACKGROUND:
Matrix metalloproteinase-11 (MMP-11) is reported to be overexpressed in several cancers and may contribute to tumorigenesis. The current study investigated the association between the clinicopathological characteristics and plasma level of MMP-11 in oral squamous cell carcinoma (OSCC) patients.
METHODOLOGY AND PRINCIPAL FINDINGS:
The plasma MMP-11 concentration was determined by ELISA on 330 male OSCC patients. In addition, the metastatic effects of the MMP-11 knockdown on the oral cancer cells were investigated by cell migration assay. Our results showed that the plasma MMP-11 levels were significantly higher in patients with advanced T status (p = 0.001), lymph node metastasis (p = 0.006) and higher TNM stages (p<0.001). Moreover, treatment with the MMP-11 shRNA exerted an inhibitory effect on migration in SCC9 oral cancer cells.
CONCLUSION:
Our study showed that plasma level of MMP-11 may be useful for assessment of the disease progression, especially lymph node metastasis, in patients with OSCC. PMID: 25423087 [PubMed – in process] PMCID: PMC4244114

#4由 EVKVLIN 在 二, 05/12/2015 – 09:35 發表。

2014/10 夏興國老師實驗室Cancer Research新作!

Cancer Res. 2014 Oct 28. pii: canres.0978.2014. [Epub ahead of print]

Downregulated miR-329 and miR-410 promote the proliferation and invasion of oral squamous cell carcinoma by targeting Wnt-7b.
Shiah SG1, Hsiao JR2, Chang WM1, Chen YW1, Jin YT3, Wong TY4, Huang JS5, Tsai ST6, Hsu YM1, Chou ST1, Yen YC1, Jiang SS7, Shieh YS8, Chang IS7, Hsiao M9, Chang JY10.

Author information
Abstract

MicroRNA (miRNA) dysregulation contributes widely to human cancer but has not been fully assessed in oral cancers. In this study, we conducted a global microarray analysis of miRNA expression in 40 pairs of betel quid-associated oral squamous cell carcinoma (OSCC) specimens and their matched non-tumorous epithelial counterparts. Eighty-four miRNAs were differentially expressed in the OSCC specimens compared to the matched tissue. Among these downregulated miRNAs, 19 miRNAs were found and mapped to the chromosome 14q32.2 miRNA cluster region, which resides within a parentally imprinted region designated Dlk-Dio3 and known to be important in development and growth. Bioinformatic analysis predicted two miRNAs from the cluster region, miR-329 and miR-410, which could potentially target Wnt-7b, an activator of the Wnt/β-catenin pathway, thereby attenuating the Wnt/β-catenin signaling pathway in OSCC. Stable ectopic expression of Wnt-7b in OSCC cells overexpressing miR-329 or miR-410 restored proliferation and invasion capabilities abolished by these miRNA. Combining a demethylation agent and a histone deacetylase inhibitor was sufficient to re-express miR-329, miR-410 and Meg3 consistent with epigenetic regulation of these miRNA in human OSCC. Specifically, arecoline, a major betel nut alkaloid, reduced miR-329, miR-410 and Meg3 gene expression. Overall, our results provide novel molecular insights into how betel quid contribute to oral carcinogenesis through epigenetic silencing of tumor suppressor miRNA which target Wnt/β-catenin signaling. PMID:  25351956

#5由 sufang 在 一, 02/16/2015 – 16:07 發表。

Orthotopic non-metastatic and metastatic oral cancer mouse model

 
 
 2015 Feb 11. pii: S1368-8375(15)00024-X. doi: 10.1016/j.oraloncology.2015.01.012. [Epub ahead of print]

Orthotopic non-metastatic and metastatic oral cancer mouse models.

Abstract

Oral cancer is characterized by high morbidity and mortality with a predisposition to metastasize to different tissues, including lung, liver, and bone. Despite progress in the understanding of mutational profiles and deregulated pathways in oral cancer, patient survival has not significantly improved over the past decades. Therefore, there is a need to establish in vivo models that recapitulate human oral cancer metastasis to evaluate therapeutic potential of novel drugs. Here we report orthotopic tongue cancer nude mouse models to study oral cancer growth and metastasis using human metastatic (UMSCC2) and non-metastatic (CAL27) cell lines, respectively. Transduction of these cell lines with lentivirus expressing red fluorescent protein (DsRed) followed by injection into tongues of immunodeficient mice generated orthotopic tongue tumors that could be monitored for growth and metastasis by fluorescence measurement with an in vivo Imaging System (IVIS 200). The growth rates of CAL27-DsRed induced tumors were higher than UMSCC2-DsRed tumors after day 15, while UMSCC2-DsRed tumors revealed metastasis beginning on day 21. Importantly, UMSCC2 tumors metastasized to a number of tissues including the submandibular gland, lung, kidney, liver, and bone. Further, immunohistochemical analyses of tongue tumors induced by CAL27 and UMSCC2 cells revealed elevated expression of components of protumorigenic pathways deregulated in human cancers, including Cyclin D1, PCNA, Ki-67, LSD1, LOXL2MT-MMP1, DPAGT1, E-cadherin, OCT4A, and H3K4me1/2. These orthotopic mouse models are likely to be useful tools for gaining insights into the activity and mechanisms of novel oral cancerdrug candidates. 

 

#6由 sufang 在 一, 02/16/2015 – 09:29 發表。

NEJM Editorial

 

One of the greatest challenges in the study and treatment of cancer has been that the disease is too heterogeneous: too many tissue types, too many etiologic factors, too much genetic diversity. After the discovery of oncogenes, it was thought that a limited number of genes, the proto-oncogenes, might turn a normal cell into a cancerous one. But soon it was discovered that tumor-suppressor genes antagonize the action of oncogenes, thus increasing genetic diversity in the context of cancer pathogenesis. To date, about 140 genes have been identified that can drive cancer growth when genetically altered.1 The discovery that driver genes can be classified into 1 or more of 12 pathways led to one of the greatest achievements in drug development and the establishment of targeted therapy in cancer.

Recently, whole-genome sequencing revealed a surprising fact: every tumor contains hundreds to thousands of somatic mutations, which are obtained throughout life, and their number is directly correlated with age. Certain types of tumors display many more or many fewer mutations. Melanomas and lung cancers are the outliers and contain approximately 200 nonsynchronous mutations per tumor. It has been hypothesized that this large number of mutations reflects the effect of potent mutagens (e.g., ultraviolet light and cigarette smoking).5 The unique genetic fingerprint of almost every tumor raises the concern that treatments might be destined to fail owing to tumor heterogeneity and the continuous development of mutations.

Despite the long debate about the ability of T cells to destroy tumors,6 the unprecedented recent success of immunotherapy in malignant disorders has provided evidence that the patient’s endogenous immune system can be altered to attack established tumors. A major hurdle in tumor immunotherapy is the fact that mechanisms of self-tolerance that prevent autoimmunity also impair T-cell responses against tumors, which do not differ substantially from self. Blockade of the major checkpoint inhibitors cytotoxic T-lymphocyte antigen 4 (CTLA-4) and programmed cell death 1 (PD-1) has resulted in durable responses in many patients.7,8 However, why other patients have only transient responses or no responses at all remains unclear. It is also unclear how patients should be identified as appropriate candidates for immunotherapy.

In a study now reported in the Journal, Snyder and colleagues9 asked whether the genetic landscape of melanoma might affect clinical benefit from immunotherapy with CTLA-4 blockade. The investigators analyzed tumor DNA using whole-exome sequencing and, as expected, detected a large number of somatic mutations. Mutational burden was higher in patients with a sustained clinical benefit than in those without a sustained benefit. Specific tumor neoepitopes encoded by these mutations were identified, and, after translation of missense mutations into mutant and nonmutant peptides, their ability to initiate major histocompatibility complex (MHC) class I–mediated responses in T cells was assessed by means of a bioinformatics algorithm incorporating prediction for MHC class I binding, T-cell receptor binding, and patient-specific HLA type. Mutant peptides were predicted to bind MHC class I molecules with higher affinity than the corresponding nonmutant peptides.

Moreover, it was determined that a number of tetrapeptide sequences corresponding to mutation-derived neoepitopes were shared by patients with a long-term clinical benefit but were completely absent from patients with a minimal benefit or no benefit. These neoepitopes defined a signature that could predict long-term clinical benefit from CTLA-4 blockade. The quality — not the number — of mutations had the strongest predictive value. Strikingly, many neoepitopes that were common to patients who had a sustained clinical benefit were homologous to viral and bacterial antigens.

These findings are exciting for two main reasons. First, these data provide convincing evidence that in order for a CTLA-4 checkpoint blockade to mediate clinical benefit, T cells must be activated in the context of tumor-associated antigens. In unstimulated T cells, a small amount of CTLA-4 resides in intracellular vesicles of the endosomal and trans-Golgi network and recycles continuously to the cell surface, followed by rapid endocytosis and degradation. T-cell activation leads to an increase in CTLA-4, translocation of CTLA-4–containing vesicles to the immunologic synapse, and the release and expression of CTLA-4 on the cell surface. The stronger the T-cell–receptor signal, the more CTLA-4 accumulates at the immunologic synapse.10 It is conceivable that in patients with melanomas expressing immunogenic neoepitopes, mutant peptides capable of binding MHC class I molecules with high affinity induce T-cell activation, leading to relocalization of CTLA-4–containing intracellular vesicles to the immunologic synapse, release of CTLA-4, and up-regulation of CTLA-4 on the cell surface. Under these conditions, anti–CTLA-4 antibodies reverse the inhibitory effect of CTLA-4, which is mediated by B7-1 and B7-2 ligation, and induce long-term antitumor responses (Figure 1A) In contrast, in patients lacking such mutations, nonmutant peptides corresponding to the nonmutated counterparts of immunogenic neoepitopes have lower affinity for MHC class I molecules and do not induce T-cell activation. Under these conditions, CTLA-4 remains in the intracellular vesicles and is not up-regulated on the cell surface. Consequently, anti–CTLA-4 antibodies yield no clinical benefit (Figure 1B).

Second, these findings indicate that clinical benefit from CTLA-4 blockade depends on responses against epitopes that T cells are likely to recognize, such as those present on viral and bacterial pathogens. It is tempting to speculate that development of these antitumor responses might also be mediated by memory T cells generated during prior exposure to such antigens that were foreign to the host and happened to be homologous to neoepitopes induced by somatic mutations in melanomas. Importantly, a high mutational burden increased the likelihood of the development of specific neoepitopes that would confer clinical benefit from CTLA-4 blockade. In the era of immunotherapy, genetic diversity of cancer may, in fact, be a good thing.

FIGURE 1 Somatic Neoepitopes of Melanomas and Benefit from CTLA-4 Blockade.

Recognition of epitopes by T-cell receptors can be mediated by consensus tetrapeptides in immunogenic peptides. As shown in Panel A, mutant tetrapeptides that bind major histocompatibility complex (MHC) class I molecules with high affinity induce activation of antigen-specific naive or memory T cells that recognize this tumor-specific antigen, leading to translocation of cytotoxic T-lymphocyte antigen 4 (CTLA-4)–containing vesicles to the immunologic synapse and up-regulation of CTLA-4 expression on the cell surface. Ligation of CTLA-4 by B7-1 and B7-2 mediates an inhibitory signal in these tumor-specific T cells. Under these conditions, anti–CTLA-4 antibodies prevent CTLA-4 ligation and CTLA-4–mediated inhibition, resulting in the generation of functional tumor-specific effector T cells, which induce antitumor responses. As shown in Panel B, in the absence of such mutations, nonmutant tetrapeptides corresponding to the nonmutated counterparts of immunogenic somatic neoepitopes have lower affinity for MHC class I molecules and do not induce activation of antigen-specific naive or memory T cells that recognize this tumor-specific antigen. Under these conditions, CTLA-4–containing vesicles do not translocate to the immunologic synapse, CTLA-4 expression is not up-regulated, and anti–CTLA-4 antibodies confer no clinical benefit.


REFERENCES

Vogelstein BPapadopoulos NVelculescu VEZhou SDiaz LA Jr,Kinzler KWCancer genome landscapes. Science 2013;339:1546-1558

CrossRef | Web of Science | Medline

Lynch TJBell DWSordella R, et al. Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib. N Engl J Med 2004;350:2129-2139

Free Full Text | Web of Science | Medline

Chapman PBHauschild ARobert C, et al. Improved survival with vemurafenib in melanoma with BRAF V600E mutation. N Engl J Med2011;364:2507-2516

Free Full Text | Web of Science | Medline

Kwak ELBang YJCamidge DR, et al. Anaplastic lymphoma kinase inhibition in non-small-cell lung cancer. N Engl J Med 2010;363:1693-1703[Erratum, N Engl J Med 2011;364:588.]

Free Full Text | Web of Science | Medline

Alexandrov LBNik-Zainal SWedge DC, et al. Signatures of mutational processes in human cancer. Nature 2013;500:415-421

CrossRef | Web of Science | Medline

Rosenberg SASpiess PLafreniere RA new approach to the adoptive immunotherapy of cancer with tumor-infiltrating lymphocytes. Science1986;233:1318-1321

CrossRef | Web of Science | Medline

Hodi FSO’Day SJMcDermott DF, et al. Improved survival with ipilimumab in patients with metastatic melanoma. N Engl J Med2010;363:711-723[Erratum, N Engl J Med 2010;363:1290.]

Free Full Text | Web of Science | Medline

Topalian SLHodi FSBrahmer JR, et al. Safety, activity, and immune correlates of anti-PD-1 antibody in cancer. N Engl J Med 2012;366:2443-2454

Free Full Text | Web of Science | Medline

9  Snyder AMakarov VMerghoub T, et al. Genetic basis for clinical response to CTLA-4 blockade in melanoma. N Engl J Med2014;371:2189-2199

Full Text

10 Egen JGAllison JPCytotoxic T lymphocyte antigen-4 accumulation in the immunological synapse is regulated by TCR signal strength. Immunity2002;16:23-35

CrossRef | Web of Science | Medline

#7由 sufang 在 日, 01/11/2015 – 21:01 發表。

Gene expression profiling reveals biological pathways

Oral Oncol. 2015 Jan 2. pii: S1368-8375(14)00376-5. doi: 10.1016/j.oraloncology.2014.12.004. [Epub ahead of print]

Gene expression profiling reveals biological pathways responsible for phenotypic heterogeneity between UK and Sri Lankan oral squamous cell carcinomas.

pdf: 4269

PubMed: http://www.ncbi.nlm.nih.gov/pubmed/25560800

Saeed AA1, Sims AH2, Prime SS3, Paterson I4, Murray PG5, Lopes VR6.

Abstract
OBJECTIVES
It is well recognized that oral squamous cell carcinoma (OSCC) cases from Asia that are associated with betel quid chewing are phenotypically distinct to those from Western countries that are predominantly caused by smoking/drinking, but the molecular basis of these differences are largely unknown. The aim of this study is to examine gene expression, related carcinogenic pathways and molecular processes that might be responsible for the phenotypic heterogeneity of OSCC between UK and Sri Lankan population groups.

METHODS: We have compared the gene expression profiles of OSCCs and normal oral mucosal tissues from both Sri Lankan and UK individuals using Affymetrix gene expression arrays. The generated data was interrogated using significance analysis of microarrays and Ingenuity Pathway Analysis (IPA).

RESULTS: The gene expression profiles of UK and Sri Lankan OSCC are similar in many respects to other oral cancer expression profiles reported in the literature and were mainly similar to each other.However, genes involved in tumor invasion, metastasis and recurrence were more obviously associated with UK tumors as opposed to those from Sri Lanka.

CONCLUSION: The development of OSCCs in both UK and Sri Lankan populations appears largely mediated by similar biological pathways despite the differences related to race, ethnicity, lifestyle, and/or exposure to environmental carcinogens. However, IPA revealed a highly activated “Cell-mediated Immune Response” in Sri Lankan normal and tumor samples relative to UK cohorts. It seems likely, therefore, that any future attempts to personalize treatment for OSCC patients will need to be different in Western and Asian countries to reflect differences in gene expression and the immune status of the patients.

#8由 sufang 在 日, 01/11/2015 – 20:56 發表。

Common and complex Notch1 mutations in Chinese oral squamous cel

Common and complex Notch1 mutations in Chinese oral squamous cell carcinoma.
 
Clin Cancer Res. 2014 Feb 1;20(3):701-10. doi: 10.1158/1078-0432.CCR-13-1050. Epub 2013 Nov 25.
Common and complex Notch1 mutations in Chinese oral squamous cell carcinoma.
Song X1, Xia R, Li J, Long Z, Ren H, Chen W, Mao L.
Author information
1Authors’ Affiliations: Department of Oral and Maxillofacial Surgery, Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine; Shanghai Key Laboratory of Stomatology, Shanghai, China; Department of Oncology and Diagnostic Sciences, University of Maryland School of Dentistry; Marlene and Stewart Greenebaum Cancer Center, University of Maryland, Baltimore; and Personal Diagnostix Inc., Gaithersburg, Maryland.
Abstract
 
This is a paper referred by 閻紫宸教授
 
PURPOSE:
To determine Notch1 mutation status in oral squamous cell carcinoma (OSCC) from Chinese population and its potential clinical implications.
 
EXPERIMENTAL DESIGN:
Surgically resected OSCC tissues from 51 Chinese patients and 13 head and neck squamous cell carcinoma (HNSCC) cell lines were sequenced for mutations in the entire coding regions of Notch1 and TP53 using a next-generation sequencing platform. Sequences of the genes were also determined in corresponding normal tissues from 46 of the 51 patients. Mutations and their association with clinical parameters were analyzed.
 
RESULTS:
Six mutations in Notch1 and 11 mutations in TP53 coding regions were detected in 4 (31%) and 10 (77%) of the 13 HNSCC cell lines, respectively. Forty-two somatic Notch1 mutations, including 7 nonsense mutations and 11 mutations within the domain commonly harboring potential activating mutations in acute lymphoblastic leukemia, were detected in 22 (43%) of the 51 Chinese OSCC tumors. In comparison, 25 somatic TP53 mutations were observed in 21 (41%) of the 51 tumors. Patients whose tumors carried Notch1 mutation had significantly shorter overall and disease-free survivals (P = 0.004 and P = 0.001, respectively, by log-rank test) compared with those whose tumors carried no Notch1 mutation. Multivariate analysis showed that both Notch1 mutation and lymph node metastasis are independent prognostic factors in the patient population (P = 0.001). All 15 patients with both Notch1 mutation and nodal metastasis recurred or metastasized within 2 years after surgery. PMID: 24277457 
 
CONCLUSIONS:
Notch1 mutation is common in Chinese OSCC and associates with clinical outcomes. The complexity of the mutation spectrum warrants further investigation of Notch1 in Chinese patients with OSCC.
 
 
 

#9由 sufang 在 六, 01/10/2015 – 11:07 發表。

An eleven gene molecular signature for extra-capsular spread in

Oral Oncol. 2015 Jan 2. pii: S1368-8375(14)00384-4. doi: 10.1016/j.oraloncology.2014.12.012. [Epub ahead of print]
 
An eleven gene molecular signature for extra-capsular spread in oral squamous cell carcinoma serves as a prognosticator of outcome in patients without nodal metastases
.
Wang W1, Lim WK2, Leong HS3, Chong FT3, Lim TK4, Tan DS5, Teh BT3, Iyer NG6.
Author information
 
Abstract
OBJECTIVES:
Extracapsular spread (ECS) is an important prognostic factor for oral squamous cell carcinoma (OSCC) and is used to guide management. In this study, we aimed to identify an expression profile signature for ECS in node-positive OSCC using data derived from two different sources: a cohort of OSCC patients from our institution (National Cancer Centre Singapore) and The Cancer Genome Atlas (TCGA) head and neck squamous cell carcinoma (HNSCC) cohort. We also sought to determine if this signature could serve as a prognostic factor in node negative cancers.
 
MATERIALS AND METHODS:
Patients with a histological diagnosis of OSCC were identified from an institutional database and fresh tumor samples were retrieved. RNA was extracted and gene expression profiling was performed using the Affymetrix GeneChip Human Genome U133 Plus 2.0 microarray platform. RNA sequence data and corresponding clinical data for the TCGA HNSCC cohort were downloaded from the TCGA Data Portal. All data analyses were conducted using R package and SPSS.
 
RESULTS:
We identified an 11 gene signature (GGH, MTFR1 (哈哈 好可惜不是MTHFR), CDKN3, PSRC1, SMIM3, CA9, IRX4, CPA3, ZSCAN16, CBX7 (is this Tao’s baby?) and ZFP3) which was robust in segregating tumors by ECS status. In node negative patients, patients harboring this ECS signature had a significantly worse overall survival (p=0.04).
 
CONCLUSIONS:
An eleven gene signature for ECS was derived. Our results also suggest that this signature is prognostic in a separate subset of patients with no nodal metastasis Further validation of this signature on other datasets and immunohistochemical studies are required to establish utility of this signature in stratifying early stage OSCC patients.
 
Copyright © 2014 Elsevier Ltd. All rights reserved.
 
KEYWORDS:
Extracapsular spread; Gene molecular signature; Oral squamous cell carcinoma; Prognostic factor
PMID: 25560799

#10由 sufang 在 四, 10/16/2014 – 14:12 發表。

Efficient replication of EBV in stratified epithelium in vitro

Proc Natl Acad Sci U S A. 2014 Oct 13. pii: 201400818. [Epub ahead of print]
Efficient replication of Epstein-Barr virus in stratified epithelium in vitro.
Temple RM1, Zhu J2, Budgeon L3, Christensen ND4, Meyers C5, Sample CE6.
Author information
Abstract

Epstein-Barr virus is a ubiquitous human herpesvirus associated with epithelial and lymphoid tumors. EBV is transmitted between human hosts in saliva and must cross the oral mucosal epithelium before infecting B lymphocytes, where it establishes a life-long infection. The latter process is well understood because it can be studied in vitro, but our knowledge of infection of epithelial cells has been limited by the inability to infect epithelial cells readily in vitro or to generate cell lines from EBV-infected epithelial tumors. Because epithelium exists as a stratified tissue in vivo, organotypic cultures may serve as a better model of EBV in epithelium than monolayer cultures. Here, we demonstrate that EBV is able to infect organotypic cultures of epithelial cells to establish a predominantly productive infection in the suprabasal layers of stratified epithelium, similar to that seen with Kaposi’s-associated herpesvirus. These cells did express latency-associated proteins in addition to productive-cycle proteins, but a population of cells that exclusively expressed latency-associated viral proteins could not be detected; however, an inability to infect the basal layer would be unlike other herpesviruses examined in organotypic cultures. Furthermore, infection did not induce cellular proliferation, as it does in B cells, but instead resulted in cytopathic effects more commonly associated with productive viral replication. These data suggest that infection of epithelial cells is an integral part of viral spread, which typically does not result in the immortalization or enhanced growth of infected epithelial cells but rather in efficient production of virus. PMID:   25313069

#1由 sufang 在 二, 09/16/2014 – 14:54 發表。

Areca nut components affect COX-2, cyclin B1/cdc25C

PLoS One. 2014 Jul 22;9(7):e101959.
Chang MC1, Chen YJ2, Chang HH2, Chan CP3, Yeh CY2, Wang YL2, Cheng RH1, Hahn LJ2, Jeng JH2.
 
    1Team of Biomedical Science, Chang-Gung University of Science and Technology, Kwei-Shan, Taoyuan, Taiwan.
    2Laboratory of Pharmacology, Toxicology and Chemical Carcinogenesis, School of Dentistry and Department of Dentistry, National Taiwan University Hospital; and National Taiwan University Medical College, Taipei, Taiwan.
    3Department of Dentistry, Chang Gung Memorial Hospital, Taipei, Taiwan.
Abstract
 
AIMS: Chewing of betel quid (BQ) increases the risk of oral cancer and oral submucous fibrosis (OSF), possibly by BQ-induced toxicity and induction of inflammatory response in oral mucosa.
 
METHODS: Primary gingival keratinocytes (GK cells) were exposed to areca nut (AN) components with/without inhibitors. Cytotoxicity was measured by 3-(4,5-dimethyl- thiazol- 2-yl)-2,5-diphenyl-tetrazolium bromide (MTT) assay. mRNA and protein expression was evaluated by reverse transcriptase-polymerase chain reaction (RT-PCR) and western blotting. PGE2/PGF2α production was measured by enzyme-linked immunosorbent assays.
 
RESULTS: Areca nut extract (ANE) stimulated PGE2/PGF2α production, and upregulated the expression of cyclooxygenase-2 (COX-2), cytochrome P450 1A1 (CYP1A1) and hemeoxygenase-1 (HO-1), but inhibited expression of keratin 5/14, cyclinB1 and cdc25C in GK cells. ANE also activated epidermal growth factor receptor (EGFR), Src and Ras signaling pathways. ANE-induced COX-2, keratin 5, keratin 14 and cdc25C expression as well as PGE2 production were differentially regulated by α-naphthoflavone (a CYP 1A1/1A2 inhibitor), PD153035 (EGFR inhibitor), pp2 (Src inhibitor), and manumycin A (a Ras inhibitor). ANE-induced PGE2 production was suppressed by piper betle leaf (PBL) extract and hydroxychavicol (two major BQ components), dicoumarol (a
NAD(P)H: Quinone Oxidoreductase–NQO1 inhibitor) and curcumin. ANE-induced cytotoxicity was inhibited by catalase and enhanced by dicoumarol, suggesting that AN components may contribute to the pathogenesis of OSF and oral cancer via induction of aberrant differentiation, cytotoxicity, COX-2 expression, and PGE2/PGF2α production.
 
CONCLUSIONS: CYP4501A1, reactive oxygen species (ROS), EGFR, Src and Ras signaling pathways could all play a role in ANE-induced pathogenesis of oral cancer. Addition of PBL into BQ and curcumin consumption could inhibit the ANE-induced inflammatory response. PMID:  25051199
#2由 sufang 在 二, 09/16/2014 – 14:30 發表。

Potential Therapeutic Targets for Oral Cancer:

PLoS One. 2014 Jul 16;9(7):e102610.

Potential therapeutic targets for oral cancer: ADM, TP53, EGFR, LYN, CTLA4, SKIL, CTGF, CD70.

Bundela S1, Sharma A2, Bisen PS3.

    1Defence Research Development Establishment, Defence Research Development Organization, Ministry of Defence, Govt. of India, Gwalior, Madhya Pradesh, India; Department of Postgraduate Studies & Research in Biological Sciences, Rani Durgavati University, Jabalpur, Madhya Pradesh, India.
    2Department of Postgraduate Studies & Research in Biological Sciences, Rani Durgavati University, Jabalpur, Madhya Pradesh, India.
    3Defence Research Development Establishment, Defence Research Development Organization, Ministry of Defence, Govt. of India, Gwalior, Madhya Pradesh, India; School of Studies in Biotechnology, Jiwaji University, Gwalior, Madhya Pradesh, India.

Abstract

In India, oral cancer has consistently ranked among top three causes of cancer-related deaths, and it has emerged as a top cause for the cancer-related deaths among men. Lack of effective therapeutic options is one of the main challenges in clinical management of oral cancer patients. We interrogated large pool of samples from oral cancer gene expression studies to identify potential therapeutic targets that are involved in multiple cancer hallmark events. Therapeutic strategies directed towards such targets can be expected to effectively control cancer cells. Datasets from different gene expression studies were integrated by removing batch-effects and was used for downstream analyses, including differential expression analysis. Dependency network analysis was done to identify genes that undergo marked topological changes in oral cancer samples when compared with control samples. Causal reasoning analysis was carried out to identify significant hypotheses, which can explain gene expression profiles observed in oral cancer samples. Text-mining based approach was used to detect cancer hallmarks associated with genes significantly expressed in oral cancer. In all, 2365 genes were detected to be differentially expressed genes, which includes some of the highly differentially expressed genes like matrix metalloproteinases (MMP-1/3/10/13), chemokine (C-X-C motif) ligands (IL8, CXCL-10/-11), PTHLH, SERPINE1, NELL2, S100A7A, MAL, CRNN, TGM3, CLCA4, keratins (KRT-3/4/13/76/78), SERPINB11 and serine peptidase inhibitors (SPINK-5/7). XIST, TCEAL2, NRAS and FGFR2 are some of the important genes detected by dependency and causal network analysis. Literature mining analysis annotated 1014 genes, out of which 841 genes were statistically significantly annotated. The integration of output of various analyses, resulted in the list of potential therapeutic targets for oral cancer, which included targets such as ADM, TP53, EGFR, LYN, CTLA4, SKIL, CTGF and CD70. PMID:  25029526


本文精彩節錄:
1. Sample size: Peng et al (57 oral cancer/22 controls, Affy Exon 1.0 ST, GSE25099)
                         Ambatipudi et al (27 oral cancer/5 controls, Agilent-041850, GSE23558)
2. 只有張老師和Johnson看得懂得部份–removing batch effect by XPN or ComBat: The PCA and power distribution analysis of normalized data before and after batch correction (Fig. 3) clearly suggested XPN to perform better than ComBat for removing batch effects in dataset integrated from the two different studies. … (兩個重點: XPN比ComBat好、兩個dataset normalized/batch effect除完後,留下18,927個基因做分析)
3. Differential expressed genes2,365個。這是取tumor/control 大於等於1.5-倍、FDR-corrected p-value < 0.05. (我們先前Molas及”Combo file”的cutoff也是1.5-倍)。基因list與Molas pathway mapping按我下載。日後我會加到先前的Combo file中,降子比較好查詢。KEGG/GO mapping Top10 結果先賭為快:
KEGG: ECM-receptor interaction, Arachidonic acid metabolism, Rheumatoid arthritis, Focal adhesion, Amoebiasis, Cell adhesion molecules (CAMs), Hematopoietic cell lineage, PI3K-Akt signaling pathway, Drug metabolism – cytochrome P450, Proteoglycans in cancer
GOBP:  extracellular matrix organization, cell adhesion, type I interferon-mediated ignaling pathway, defense response to virus, immune response, response to virus, epidermis development, spindle organization, cyclooxygenase pathway, leukocyte migration
GOMF: iron ion binding, heme binding, steroid hydroxylase activity, monooxygenase activity, oxygen binding, structural molecule activity, electron carrier activity, chemokine activity, collagen binding, 2′-5′-oligoadenylate synthetase activity, growth factor activity
GOCC: extracellular region, extracellular space, external side of plasma membrane,
extracellular matrix, proteinaceous extracellular matrix, membrane raft, anchored to membrane, cell surface, integral to plasma membrane, extrinsic to membrane
4. 透過印度人滔滔不絕的”dependency network” “reasoning analysis” “five cancer hallmarks” 分析, Fig. 7列出30個potentially therapeutic targets.
被選入title的8個基因是上述30 個中又通過supporting published literatures:
ADM: ADM (adrenomedullin) has been identified as a highly connected gene in the dependency network with marked difference under cancer and control condition. Literature mining analysis has identified it to be significantly associated with four out of the five cancer hallmarks considered in the current study. ADM is a research target for various cancers [38], and its significant differential expression in our study dataset suggests it to be one of the most potential therapeutic targets for oral cancer.
TP53: TP53 is a potent tumor suppressor gene which is known to be under-expressed in various malignancies, including oral cancer [3]. TP53 was detected in our study to be significantly under expressed gene, and was found to be involved in key hallmark events like apoptosis, angiogenesis and cell proliferation…
CTGF (陽明大學的baby): Connectivity tissue growth factor (CTGF) was identified as a therapeutic target by literature mining analysis and was detected to be significantly involved in key hallmark events like angiogenesis and cell proliferation. CTGF shows marked topological difference in the dependency network under cancer and control condition making it one of the potential therapeutic targets for oral cancer.
EGFR: Epidermal growth factor receptor (EGFR) which is incidentally a successful molecular target for oral cancer [38], has been also detected as a potential therapeutic target in the current study. EGFR was identified as well connected gene in dependency and causal network (Fig. 5), and was detected as a significant hypothesis by causal reasoning analysis.
CTLA4: CTLA4 was another potential therapeutic target identified in the current study. Literature mining analysis significantly associated it with apoptosis and cell-proliferation. CTLA4 has been reported to regulate key genes involved in carcinogenesis like STAT1, NFATC2, c-Fos, c-Myc, and/or Bcl-2 [39]. Literature mining analysis and mining of TTD (therapeutic target database) have identified CTLA4 as a therapeutic marker for various cancers.
CD70: CD70 was identified as a potential anti-body based therapeutic target. Literature mining analysis associated it with the key hallmark events like apoptosis and cell-proliferation. CD70 was detected to be topologically evolved gene by dependency network analysis, which has a significant number of connections in cancer condition, but does not have any connection in control condition. CD70 is a clinical trial target for various cancers [38].
LYN: LYN was identified in dependency network analysis as a topologically evolved gene, which has a significant number of connections in cancer condition, but does not have any connection in control condition. Literature mining analysis has associated it with apoptosis and cell-proliferation. It is also well connected in causal network, and was identified as one of the significant hypotheses. LYN has been reported in various studies to be an attractive therapeutic target for various cancers, including oral cancer [40].
SKIL: SKIL has been identified in our analysis as highly connected gene in the dependency network with marked topological difference under cancer and control condition. Literature mining analysis associated it with apoptosis, cell-proliferation and metastasis. SKIL was reported to be a novel therapeutic target for ovarian cancer [41].
#3由 sufang 在 二, 09/16/2014 – 14:27 發表。

The genomic landscape of nasopharyngeal carcinoma.

Nat Genet. 2014 Jun 22. doi: 10.1038/ng.3006. [Epub ahead of print]

The genomic landscape of nasopharyngeal carcinoma.

Abstract
Nasopharyngeal carcinoma (NPC) has extremely skewed ethnic and geographic distributions, is poorly understood at the genetic level and is in need of effective therapeutic approaches. Here we determined the mutational landscape of 128 cases with NPC using whole-exome and targeted deep sequencing, as well as SNP array analysis. These approaches revealed a distinct mutational signature and nine significantly mutated genes, many of which have not been implicated previously in NPC. Notably, integrated analysis showed enrichment of genetic lesions affecting several important cellular processes and pathways, including chromatin modification, ERBB-PI3K signaling and autophagy machinery. Further functional studies suggested the biological relevance of these lesions to the NPC malignant phenotype. In addition, we uncovered a number of new druggable candidates because of their genomic alterations. Together our study provides a molecular basis for a comprehensive understanding of, and exploring new therapies for, NPC. PMID:  24952746

 

 

 

 

News and Views:

Fingerprints of Epstein-Barr virus in nasopharyngeal carcinoma

Robert B West    Nature Genetics  46, 809–810  
The influence of Epstein-Barr virus (EBV) on cancer is not well understood. High-throughput sequencing of nasopharyngeal carcinoma (NPC) illustrates the influences of EBV on oncogenesis and identifies driver pathways that might be therapeutically useful for NPC treatment.

More than 90% of the world population has been infected with EBV. Its presence has been documented in a number of malignancies, including in NPC1. Its true influence on cancer incidence is not well understood, owing in part to ignorance of the inciting events in the vast majority of cancer types. In a new study by De-Chen Lin and colleagues2, the authors present the first genome-wide sequence analysis of NPC, the only common carcinoma that is frequently infected with EBV (although a subset of gastric carcinomas are also EBV infected). NPC represents an unusual carcinoma with respect to its incidence, biology and treatment, and its study can possibly provide insight into the relationship between neoplasia and this ubiquitous virus. NPC incidence is high in endemic areas3 (occurring in Southeast Asians, North Africans and Inuit people), comparable to the incidence of melanoma in the United States, and very low in other areas (<1 case per 100,000 people). Another unusual aspect of NPC is a tremendous lymphocytic infiltrate that often obscures the presence of malignant cells in bright-field microscopy. These infiltrating lymphocytes, often outnumbering the cancer cells by several fold, have posed a challenge to genomic studies of NPC, particularly hybridization microarray approaches.
Fingerprints of EBV

Lin and colleagues present a genome-wide view of the changes in NPC by examining 128 cases by exome sequencing, targeted sequencing and SNP array analysis. Their results provide a framework in which to begin subdividing NPCs according to their biological drivers and clinical implications. In a comparative study using several previously sequenced cancers, they find that NPC results in a relatively low level of genomic alteration, similar to that seen in human papillomavirus (HPV)-associated carcinomas. However, NPCs do not have the characteristic APOBEC mutational signature seen in HPV-associated carcinomas. These comparisons provide insight into the fundamental differences in the ways that EBV and HPV lead to cancer.

The study identifies 144 genes recurrently mutated in the 128 cases. Although some mutations had previously been found in NPC, such as ones in PIK3CA and TP53, seven significantly mutated genes are newly identified in NPC: BAP1, ERBB2, ERBB3, KRAS, NRAS, KMT2D (MLL2) and TSHZ3. Pathway analysis of genomic events identified the chromatin-modification pathway as among the most frequently affected pathways, with ARID1A being the most frequently altered gene in this category. Mutations in this pathway are strongly associated with EBV levels. In this context, it is interesting to note that a study with whole-exome sequencing of gastric cancer4, the only other common carcinoma with frequent EBV involvement, identified a similar association. The sequencing data for gastric cancer showed a significant difference in the mutation rate of ARID1A between EBV-infected gastric cancers (high) and non-EBV-infected gastric cancers (low). Taken together, these findings suggest that altered chromatin remodeling is a general, possibly oncogenic feature of EBV infection in neoplasia. Further work is needed to extend these observations and determine the mechanisms involved.

Other pathways commonly mutated in carcinomas were also found to be altered in NPC (Fig. 1). Mutations in genes controlling the G1/S transition were frequently mutated in NPC. Genes in the ERBB–phosphoinositol 3-kinase (PI3K) signaling pathway were also often altered, and cases bearing these mutations had tumors with more aggressive clinical behavior. As in other head and neck carcinomas, the epithelial cell differentiation pathway was altered, including the NOTCH gene family, albeit with a lower incidence of mutations.
Figure 1: NPC represents a complex tumor microenvironment including EBV and lymphocytes.
NPC represents a complex tumor microenvironment including EBV and lymphocytes.

A number of different drivers can influence NPC development, including EBV, chromatin modification, the ERBB-PI3K pathway, autophagy machinery, epithelial cell differentiation and regulation of the G1/S transition.

Targeting EBV effects

Many cancer genomic studies have focused on outcome prognostication. A far more pressing need for NPC is new treatment targets. NPC is highly sensitive to radiotherapy, and this represents the first line of treatment. However, systemic therapy is important when metastasis is present, which is quite common in these patients. The mutation profiles found in the current study identify new potential therapeutic targets. Although EBV itself is a tantalizing target, such strategies have yet to be realized, and mutations in the chromatin-modification pathway, linked to EBV burden, might prove to be a useful surrogate. The authors find that this pathway, with 67 genes altered in 54 cases, is important for NPC in terms of both anchorage-independent colony formation and cell migration. As such, carcinomas with these mutations might be sensitive to drugs such as histone deacetylase (HDAC) inhibitors. Genomic changes in three autophagic genes (ATG2A, ATG7 and ATG13) were identified and shown by Lin and colleagues to be synergistic with conventional chemotherapy in killing NPC cells in culture. The ERBB-PI3K pathway mutation profile offers another set of potential therapeutic possibilities. The different potential therapeutic responses created by the constellation of mutations in different pathways suggest that the identification of susceptible patients with NPC through clinical sequencing tests might guide oncological planning in the near future.

The data presented by Lin and colleagues provide several new opportunities for future NPC research and treatment and for understanding the influence of EBV in neoplasia. For example, measures of serum EBV levels are already being developed as a biomarker for risk of recurrence5, and the current data might be complementary for screening approaches. It is worth noting that this exome-wide sequencing study does not necessarily capture all the significant genetic events in NPC biology. The whole-exome sequencing approach does not identify the gene fusions that others have reported in over 10% of cases6, 7. Furthermore, there is considerable variation in EBV sequence8, and this variation might influence tumor development, as genetic variation in viruses has been shown elsewhere to be central in oncogenesis9. Nevertheless, this study represents a major step forward in the understanding of NPC.
References

    References•

    1. zur Hausen, H. et al. Nature 228, 1056–1058 (1970).
    2. Lin, D. et al. Nat. Genet. 46, 866–871 (2014).
    3. Niedobitek, G. Mol. Pathol. 53, 248–254 (2000).
    4. Wang, K. et al. Nat. Genet. 43, 1219–1223 (2011).
    5. Lin, J.C. et al. N. Engl. J. Med. 350, 2461–2470 (2004).
    6. Chung, G.T. et al. J. Pathol. 231, 158–167 (2013).
    7. Valouev, A. et al. Genome Res. 24, 300–309 (2014).
    8.  Liu, P. et al. J. Virol. 85, 11291–11299 (2011).
    9. Shuda, M. et al. Proc. Natl. Acad. Sci. USA 105, 16272–16277 (2008).

#4由 sufang 在 四, 12/04/2014 – 13:01 發表。

Epstein-Barr virus-induced epigenetic alterations following tran

16    Queen, K. J., M. Shi, F. Zhang, U. Cvek, and R. S. Scott. Epstein-Barr virus-induced epigenetic alterations following transient infection. (2013). Int J Cancer. 132: 2076-86. pdf 4245. EBV infection. NP460Tert related. must read.     Epstein-Barr virus (EBV) is a known tumor virus associated with an increasing array of malignancies; however, the association of the virus with certain malignancies is often erratic. To determine EBV’s contributions to tumorigenesis in a setting of incomplete association, a transient model of infection was established where a clonal CCL185 carcinoma cell line infected with recombinant EBV was allowed to lose viral genomes by withdrawal of selection pressure. Global gene expression comparing EBV-negative, transiently infected clones to uninfected controls identified expression changes in more than 1,000 genes. Among downregulated genes, several genes known to be deoxyribonucleic acid (DNA) methylated in cancer were identified including E-cadherin and PYCARD. A cadherin switch, increased motility and enhanced cellular invasiveness present in EBV-positive cells were retained after viral loss, indicating an epigenetic effect. Repression of PYCARD expression was a result of increased promoter CpG methylation, whereas loss of E-cadherin expression after transient EBV infection did not correlate with increased DNA methylation of the E-cadherin promoter. Rather, repression of E-cadherin was consistent with the formation of a repressive chromatin state. Decreased histone 3 or 4 acetylation at the promoter and 5′ end of the E-cadherin gene was observed in an EBV-negative, transiently infected clone relative to the uninfected controls. These results suggest that EBV can stably alter gene expression in a heritable fashion in formerly infected cells, whereas its own contribution to the oncogenic process is masked.

#5由 sufang 在 四, 12/04/2014 – 11:03 發表。

Epstein-Barr virus infection as an epigenetic driver of

Kaneda, A., K. Matsusaka, H. Aburatani, and M. Fukayama. Epstein-Barr virus infection as an epigenetic driver of tumorigenesis. (2012). Cancer research. 72: 3445-50. pdf 3530.    Epstein-Barr virus (EBV) establishes latent infection and is associated with tumors, such as Burkitt lymphoma, nasopharyngeal carcinoma, and gastric cancers. We recently reported that EBV(+) gastric cancer shows an EBV(+)/extensively high-methylation epigenotype, and in vitro EBV infection induces extensive DNA methylation with gene repression within 18 weeks. On the basis of the absence of both EBV and high-methylation accumulation in the surrounding mucosa of EBV(+) gastric cancer, it is suggested that an EBV-infected cell acquires extensive methylation to silence multiple tumor suppressor genes in a short time period and transforms into cancer cells, not forming a precancerous field with EBV infection or methylation accumulation. The methylation mechanism induced by EBV infection has not been fully clarified. Differences in EBV genome methylation that are dependent on a different latency status or other epigenomic alterations, such as 3-dimensional conformation and histone modification, may affect host genome methylation. Expressions of viral proteins and small RNAs are also different depending on latency status, and some viral proteins might trigger DNA methylation by inducing DNA methyltransferase overexpression. In this review, we discuss these roles of EBV infection in driving tumorigenesis and their possible association with aberrant DNA methylation.

#6由 sufang 在 四, 12/04/2014 – 10:00 發表。

The dynamic DNA methylomes of double-stranded DNA viruses associ

1    Fernandez, A. F., C. Rosales, P. Lopez-Nieva, O. Grana, E. Ballestar, S. Ropero, J. Espada, S. A. Melo, A. Lujambio, M. F. Fraga, I. Pino, B. Javierre, F. J. Carmona, F. Acquadro, R. D. Steenbergen, P. J. Snijders, C. J. Meijer, P. Pineau, A. Dejean, B. Lloveras, G. Capella, J. Quer, M. Buti, J. I. Esteban, H. Allende, F. Rodriguez-Frias, X. Castellsague, J. Minarovits, J. Ponce, D. Capello, G. Gaidano, J. C. Cigudosa, G. Gomez-Lopez, D. G. Pisano, A. Valencia, M. A. Piris, F. X. Bosch, E. Cahir-McFarland, E. Kieff, and M. Esteller. The dynamic DNA methylomes of double-stranded DNA viruses associated with human cancer. (2009). Genome Res. 19: 438-51. pdf 2184.
(1) The first complete DNA methylomes of double-stranded DNA viruses (HPV16/18, HBV and EBV) in virus associated primary biopsies
(2) 【重點】The EBV DNA obtained from free viral particles is devoid of DNA methylation; however, the EBV genome present in human cells corresponding to benign diseases, such as reactive lymphadenitis in tonsils and infectious mononucleosis, showed the incipient (起初的) presence of methylated EBV transcription start sites. The same occasional hypermethylation was observed in non-tumorigenic human B-cell-derived lymphoblastoid cell lines.
(3) Of the 77 transcription start sites that originate the entire mEBV mRNA transcriptome, five amplicons “escaped” the DNA methylation mark: EBER1, EBER2, Qp, BZLF1 and LMP2B/LMP1.    The natural history of cancers associated with virus exposure is intriguing, since only a minority of human tissues infected with these viruses inevitably progress to cancer. However, the molecular reasons why the infection is controlled or instead progresses to subsequent stages of tumorigenesis are largely unknown. In this article, we provide the first complete DNA methylomes of double-stranded DNA viruses associated with human cancer that might provide important clues to help us understand the described process. Using bisulfite genomic sequencing of multiple clones, we have obtained the DNA methylation status of every CpG dinucleotide in the genome of the Human Papilloma Viruses 16 and 18 and Human Hepatitis B Virus, and in all the transcription start sites of the Epstein-Barr Virus… The DNA methylomes presented provide evidence of the dynamic nature of the epigenome in contrast to the genome. We observed that the DNA methylome of these viruses evolves from an unmethylated to a highly methylated genome in association with the progression of the disease, from asymptomatic healthy carriers, through chronically infected tissues and pre-malignant lesions, to the full-blown invasive tumor. The observed DNA methylation changes have a major functional impact on the biological behavior of the viruses.
#7由 sufang 在 二, 09/16/2014 – 14:25 發表。

Combination of bexarotene and the retinoid CD1530 reduces…

Proc Natl Acad Sci U S A. 2014 Jun 17;111(24):8907-12. doi: 10.1073/pnas.1404828111. Epub 2014 Jun 3.

Combination of bexarotene and the retinoid CD1530 reduces murine oral-cavity carcinogenesis induced by the carcinogen 4-nitroquinoline 1-oxide. (PubMed Link)

Tang XH1, Osei-Sarfo K1, Urvalek AM1, Zhang T2, Scognamiglio T3, Gudas LJ4.

Author information

  • 1Department of Pharmacology.
  • 2Genomics Resources Core Facility, and.
  • 3Department of Pathology, Weill Cornell Medical College, New York, NY 10065.
  • 4Department of Pharmacology

Abstract

We investigated the effects of bexarotene (a retinoid X receptor agonist), CD1530 (a retinoic acid receptor γ selective agonist), and the combination of these two drugs for the prevention of oral carcinogenesis induced by the carcinogen 4-nitroquinoline 1-oxide (4-NQO) in a mouse model of human oral-cavity and esophageal squamous-cell carcinoma previously generated in our laboratory. We observed decreased numbers of neoplastic tongue lesions and reduced lesion severity in the 4-NQO plus CD1530 (4N+C) and 4-NQO plus bexarotene plus CD1530 (4N+B+C) groups compared with the 4-NQO group. RNA-Seq analyses showed increases in transcripts in cell proliferation/cell cycle progression pathways in the 4-NQO vs. the untreated group. In addition, β-catenin and matrix metallopeptidase 9 (MMP9) protein levels and reactive oxygen species (ROS), as assessed by 4-hydroxynonenal (4-HNE) staining, were elevated in tongue tissues 17 wk after the termination of the 4-NQO treatment. The 4N+B, 4N+C, and 4N+B+C groups showed dramatically lower levels of β-catenin, MMP9, and 4-HNE staining compared with the 4-NQO group. The major reduction in 4-HNE staining in the retinoid treatment groups suggests a novel mechanism of action, reduction of ROS, by which bexarotene and CD1530 inhibit carcinogenesis.

KEYWORDS: cancer prevention; oral cancer; retinoic acid receptor gamma agonist; retinoid X receptor; tongue squamous cell carcinoma PMID: 24927566

Significance

Oral-cavity squamous-cell carcinoma is one of the most com- mon human cancers in the world. About 60–70% of oral-cavity carcinoma cases are diagnosed only after the tumors have become locally advanced. Therefore, in addition to treatment, prevention of oral cancer is a very important goal. In this study, we found that the combination of the drugs bexarotene and CD1530 was more effective than either drug alone in pre- venting oral carcinogenesis in our mouse model of human oral and esophageal cancers. We envision that the combination of bexarotene and CD1530 could potentially be applied to humans at a high risk for oral cancer, as a very effec- tive strategy for the prevention and treatment of human oral cancer.


精彩部分節錄:
術語部份: B (bexarotene, retinoid X receptor agnoist); CD1530 (retinoic acid receptor gamma agnoist); 4N (4-NQO 100 ug/ml).
 
Fig. 2. Quantitative analysis of the transcripts involved in cell proliferation from RNA-Seq data. (A) Genes involved in cell-cycle regulation. (B) Genes involved in DNA replication. DNA2, DNA replication helicase 2; LIG1, DNA ligase 1; FPKM, fragments per kilobase of exon model per million mapped reads; MCM, mini- chromosome maintenance complex; ORC1, origin recognition complex subunit 1, POLA1, DNA polymerase, alpha 1; PRIM2, DNA primase large subunit.
 
Fig. 3.  Quantitative analysis of some transcripts identified from RNA-Seq as involved in extracellular matrix (ECM) breakdown and cell migration, HIF1α signaling, and oral cancer. (A) Genes involved in the ECM breakdown and cell migration. (B) HIF1α signaling pathway members. (C) Human oral cancer markers. FPKM, fragments per kilobase of exon model per million mapped reads; HIF1α, hypoxia-inducible factor 1α; HMMR, hyaluronan-mediated motility receptor; GLUT1, glucose transporter 1; MCT4 (Slc16a3), monocarboxylate transporter 4; MMP, matrix metalloproteinase; Ndufa4l2, NADH dehydrogenase (ubiquinone) 1 alpha subcomplex, 4-like 2; PTGS2, prostaglandin-endoperoxide synthase 2; TNC, tenascin.
 
Fig. 4. Shown is 4-hydroxynonenal (4-HNE), an indicator of oxidative stress, in tongue epithelium. The tongues were fixed, embedded in paraffin, and sectioned. Then, the tissue sections were stained with an antibody against 4-HNE. (Magnification: 200×.) Four to five representative areas of each tongue section from two mice per group were photographed and analyzed. Two samples per group are shown (Upper and Lower in each column). UNT, untreated; 4-NQO, 4-NQO treatment; 4N+B, 4-NQO+bexarotene; 4N+C, 4-NQO+CD1530; 4N+B+C, 4-NQO+bexarotene+CD1530. T, tumor. Darker brown indicates more 4-HNE adducts.
 
 
Fig. 5. β-Catenin and MMP9 proteins in tongue epithelium. The tongues were fixed, embedded in paraffin, and sectioned. Then, the tissue sections were stained with various antibodies. (Magnification: 200×.) Four to five representative areas of each tongue section from two to four mice per group were photographed and analyzed. Two samples per group are shown (A and B, Upper and Lower). (A) β-catenin. (B) MMP9. UNT, untreated; 4-NQO, 4-NQO treatment; 4N+B, 4-NQO plus bexarotene; 4N+C, 4-NQO plus CD1530; 4N+B+C, 4-NQO plus bexarotene plus CD1530. T, tumor.
#8由 sufang 在 二, 09/16/2014 – 14:21 發表。

A surprising cross-species conservation in the genomic…

Clin Cancer Res. 2014 Mar 25. [Epub ahead of print]

A surprising cross-species conservation in the genomic landscape of mouse and human oral cancer identifies a transcriptional signature predicting metastatic disease.

Onken MD1, Winkler AE, Kanchi KL, Chalivendra V, Law JH, Rickert CG, Kallogjeri D, Judd NP, Dunn GP, Piccirillo JF, Lewis JS Jr, Mardis ER, Uppaluri R.

Author information

Abstract

PURPOSE:

Improved understanding of the molecular basis underlying oral squamous cell carcinoma (OSCC) aggressive growth has significant clinical implications. Herein, cross-species genomic comparison of carcinogen-induced murine and human OSCCs with indolent or metastatic growth yielded results with surprising translational relevance.

EXPERIMENTAL DESIGN:

Murine OSCC cell lines were subjected to next-generation sequencing (NGS) to define their mutational landscape, to define novel candidate cancer genes and to assess for parallels with known drivers in human OSCC. Expression arrays identified a mouse metastasis signature and we assessed its representation in 4 independent human datasets comprising 324 patients using weighted voting and Gene Set Enrichment Analysis (GSEA). Kaplan-Meier analysis and multivariate Cox proportional hazards modeling were used to stratify outcomes. A qRT-PCR assay based on the mouse signature coupled to a machine-learning algorithm was developed and used to stratify an independent set of 31 patients with respect to metastatic lymphadenopathy.

RESULTS:

NGS revealed conservation of human driver pathway mutations in mouse OSCC including in Trp53, MAPK, PI3K, NOTCH, JAK/STAT and FAT1-4. Moreover, comparative analysis between The Cancer Genome Atlas (TCGA) and mouse samples defined AKAP9, MED12L and MYH6 as novel putative cancer genes. Expression analysis identified a transcriptional signature predicting aggressiveness and clinical outcomes, which were validated in 4 independent human OSCC datasets. Finally, we harnessed the translational potential of this signature by creating a clinically feasible assay that stratified OSCC patients with a 93.5% accuracy.

CONCLUSIONS:

These data demonstrate surprising cross-species genomic conservation that has translational relevance for human oral squamous cell cancer

PMID: 24668645  [PubMed – as supplied by publisher]


Figure 5. Independent validation of OCAMP-B and development of a clinical assay for stratification of OSCCs. A, an independent University of Pennsylvania (UPENN) dataset is classified with high accuracy (21/22 tumors) by OCAMP-B–weighted voting (WV output) with respect to lymph node metastatic status (path, known pathologic status), B, schematic illustrating the selection of 42 OCAMP genes and SVM processing on training set samples to identify the best discriminating genes. The final 19-gene list for FFPE is on right with asterisks on 10-gene list for fresh specimens. C, discriminant scores from SVM analysis showing successful stratification in 12 of 13 FFPE and 17 of 18 fresh biopsy test cases of metastatic nodal disease using a qPCR assay. 


118 Gene Signature Modified from Table S16.  此list 是 indolence vs aggressiveness 和我們T/N的慣用法相反,請小心使用。

#9由 sufang 在 二, 09/16/2014 – 14:18 發表。

Aurora-A signaling is activated in advanced stage of HNSCC…

Oncotarget. 2014 Apr 30;5(8):2243-62.

Aurora-A signaling is activated in advanced stage of squamous cell carcinoma of head and neck cancer and requires osteopontin to stimulate invasive behavior.

Chien CY1, Tsai HT, Su LJ, Chuang HC, Shiu LY, Huang CC, Fang FM, Yu CC, Su HT, Chen CH.
Author information

    1Department of Otolaryngology, Kaohsiung Chang Gung Memorial Hospital, and Chang Gung University College of Medicine, Kaohsiung, Taiwan.

Abstract

The clinical significances, cellular effects, and molecular mechanisms by which Aurora-A mediate its invasive effects in HNSCC are still unclear. Here, we found that Aurora-A expression is significantly higher in tumor tissues on 14-microarray of HNSCC in Oncomine-databases. The activity of Aurora-A was not only found in HNSCC specimens, but also significantly correlated with advanced-T-classification, positive-N-classification, TNM-stage and the poor 5-year survival rate. HNSCC-microarray profile showed that osteopontin and Aurora-A exhibited positive correlation. Stimulation of HNC cells with osteopontin results in an increase in Aurora-A expression where localized at the centrosome. Functionally, Aurora-A had the abilities to stimulate cell motility in HNC cells through increase ERK1/2 activity under osteopontin stimulation. Conversely, depletion of Aurora-A expression by siRNAs suppressed ERK1/2 activity as well as inhibition of cell invasiveness. Treatment with anti-CD44 antibodies in HNC cells not only caused a decrease of mRNA/protein of Aurora-A and ERK1/2 activity upon osteopontin stimulation, but also affected the abilities of Aurora-A-elicited cell motility. Finally, immunohistochemical/Western-blotting analysis of human aggressive HNSCC specimens showed a significant positively correlation between osteopontin-Aurora-A and ERK1/2. These findings suggest that Aurora-A is not only an important prognostic factor but also a new therapeutic target in the osteopontin/CD44/ERK pathway for HNSCC treatment. PMID: 24810160

#10由 sufang 在 二, 09/16/2014 – 14:05 發表。

The mutational spectrum of squamous­cell carcinoma of the head..

Ann Oncol. 2014 Apr 8. [Epub ahead of print]

The mutational spectrum of squamous-cell carcinoma of the head and neckTargetable genetic events and clinical impact.

Mountzios G1, Rampias T, Psyrri A.

Abstract

Squamous cell cancer of the Head and Neck (SCCHN) represents a heterogeneous disease entity, with various etiological factors implicated in the genesis of distinct molecular subsets of tumors, which exhibit different biological and clinical behavior. Treatment of SCCHN is expected to change in the next decade as targeted therapies continue to make strides. Recently, next-generation sequencing studies conducted on approximately 190 SCCHN specimens shed light into the molecular pathogenesis of the disease. These studies discovered mutations in genes involved in the differentiation program of squamous epithelium and the Notch/p63 axis (such as NOTCH1, TP63 and FBXW7), and validated genetic alterations derived from previous studies (such as mutations in TP53, CDKN2A, PIK3CA, CCND1 and HRAS) as driver genetic events in SCCHN neoplastic transformation. More recently, comprehensive data from The Cancer Genome Atlas (TCGA) project on 306 SCCHN specimens provided further insight into SCCHN inherent molecular complexity, identifying novel significantly mutated genes, including FAT1, MLL2, TGFRBR2, HLA-A, NFE2l2 and CASP8. Herein, we provide an overview of the mutational spectrum of SCCHN, with emphasis on the clinical implementation of this knowledge. We also discuss the potential integration of new data within the framework of precision cancer medicine.

KEYWORDS: SCCHN, deep sequencing, genetic aberrations, somatic mutation

PMID: 24718888


Table 1. Comparison of the findings of the main large‐scale exome‐sequencing studies

TCGA: The Cancer Genome Atlas
NR: not reported
All values refer to frequency of somatic mutations, unless otherwise indicated.

 


  Stransky et al. (6) Agrawal et al. (7) Lui et al. (5) Pickering et al. (8) Kandoth et al. (10) TCGA Pan-Cancer mutation data
Total number of tumors (N=74) (N=32)  (N=151)  (N=38) (N=306)
Mean number of mutations (HPV-ve) 4.83 Mut/Mb 20.6 Mut/Mb NR NR NR
Mean number of mutations (HPV+ve) 2.28 Mut/Mb 4.8 Mut/Mb NR NR NR
Mutation spectrum Other smoking‐related malignancies (i.e. small‐cell lung cancer) Non smoking‐related NSCLC Other smoking‐ related aerodigestive tract cancers (except for Ras) Smoking‐related aerodigestive tract cancers NR
G→T transversion frequencies high low NR NR NR
TP53 63% 47% (78% in HPV‐ve) NR 66% 69.8%
NOTCH1 11% 15% NR 9% 19.3%
NOTCH2, NOTCH3 11% NR NR 3% NOTCH2 5.2% NOTCH2 4.6% NOTCH3
CDKN2A 25% 9% NR 74% 21.30%
PTEN NR NR 13.6% (mutation+gene copy loss) NR 2%
PIK3CA 8% (mutation+amplification) 6% 12.60% 11% 20.6%
FBXW7 NR 5% NR NR 5%
HRAS 5% 4% 4.6% 9% 3.3%
TP63 5% NR NR 9% 2.6%
CASP8 8% NR NR 10% 9%
DDX3X 4% NR NR NR <1%
PRDM9 11% NR NR NR 6.5%
FAT1 NR NR NR 30% 23.5%
MLL2 11% NR NR NR 17.9%
EZH2 6% NR NR NR 0.3%

Table 2. Main targetable oncogenic drivers in SCCHN, available molecular agents targeting these drivers and pertinent ongoing clinical trials 

PI3K: Phosphatidylinositol 3‐kinase; CDK: Cyclin‐dependent kinase; MAPK: Mitogen‐activated protein kinase; EGFR: Epidermal growth factor receptor; MTOR: Mammalian target of rapamycin; VEGFR: Vascular endothelial growth factor receptor; PDGFR: Platelet‐derived growth factor receptor, NFκB: Nuclear Factor kappa‐B; ALK: anaplastic lymphoma kinase, ABL: Abelson kinase; HSP: Heat shock protein, SRC: Rous sarcoma kinase.
 






Oncogenic Pathway  Implicated genes  Targeted agents  Ongoing Clinical Trials  Phase 
PI3K  PIK3CA BKM‐120  NCT01816984  I/II
PIK3R1 NCT01737450  II
PIK3CG
PIK3R5 BYL‐719  NCT01602315  I/II 
PIK3AP1 PX‐866  NCT01204099 
PIK3C2A PX‐866  NCT01252628  II
PIK3C2G
CDK  CDK4  LY2835219  NCT01394016 I
LEE011  NCT1237236  I
MAPK  ERK1, ERK2 Reolysin  NCT01166542  II
  MEK1, MEK2 Sorafenib  NCT00494182  II
  HRAS, KRAS,NRAS NCT00815295  I/II
  MAP4K2,MAP3K9 NCT00939627  II
  BRAF, RAF1 GSK1120212  NCT01553851  II
    Dasatinib  NCT00507767  II
    NCT00882583  I/II
    NCT01488318  II
    Trametinib  NCT00771692  I/II
AKT  Akt  MK2206  NCT01349933  II
EGFR  EGFR Afatinib  NCT01783587  I
  ERBB2 NCT01721525 I
  ERBB3 NCT01538381 II
  ERBB4 NCT01824823 II
    NCT01345682 III
    NCT01345669 III
    NCT01856478 III
    NCT01732640 I/II
    NCT01427478 III
    Gefitinib  Phase III trials completed 
    Erlotinib  NCT00601913 II
    NCT00573989 I/II
    NCT01588613 I/II
    NCT01316757 II
    NCT01064479 II
    Cetuximab+Lapatinib  NCT01184482 
    Vandetanib  NCT01414426  II
MTOR  MTOR  Temsirolimus  NCT01256385  II
    NCT01172769  II
    Everolimus  NCT01133678  II
      NCT01111058  II
VEGFR VEGFA Bevacizumab NCT00588770  III
PDGFR PDGFRA NCT00703976  II
  PDGFRB  NCT01588431 II
    NCT01262859  II
    Sunitinib  NCT01309633  II 
    Pazopanib  NCT01377298  II 
    Axitinib  NCT01469546  II 
      NCT01249547  II 
NFKB  NFKB1  Bortezomib  NCT01445405
NCT00103259 II
NCT00425750  II
ALK  ALK  Crizotinib     
ABL  ABL1 Imatinib  NCT00180921  II
ABL2  Bosutinib     
  Nilotinib  NCT01871311 
         
HSP  HSP90AA1  Vorinostat  NCT01267240 II 
    NCT01064921 
    Romidepsin  NCT00084682  II 
SRC  SRC  Saracatinib  NCT00513435  II 

 

Leave a Comment

Scroll to Top