Literature DB >> 34070941

Prognostic Genetic Biomarkers Based on Oncogenic Signaling Pathways for Outcome Prediction in Patients with Oral Cavity Squamous Cell Carcinoma.

Wen-Lang Fan1, Lan-Yan Yang2, Jason Chia-Hsun Hsieh3,4,5, Tsung-Chieh Lin1, Mei-Yeh Jade Lu6, Chun-Ta Liao7.   

Abstract

Mutational profiling of patients' tumors has suggested that the development of oral cavity squamous cell carcinoma (OCSCC) is driven by multiple genes in multiple pathways. This study aimed to examine the association between genomic alterations and clinical outcomes in patients with advanced stages OCSCC to facilitate prognostic stratification. We re-analyzed our previous whole-exome sequencing data from 165 long-term follow-ups of stages III and IV patients with OCSCC. Their frequent mutations were mapped to 10 oncogenic signaling pathways. Clinicopathological risk factors, relapse, and survival were analyzed to identify the genetic factors associated with advanced OCSCC. Frequent genetic alterations included point mutations in TP53, FAT1, NOTCH1, CASP8, CDKN2A, HRAS, PIK3CA, KMT2B (also known as MLL4), and LINC00273; amplified segments in CCND1, EGFR, CTTN, and FGFR1; and lost segments in CDKN2A, ADAM3A, and CFHR1/CFHR4. Comprehensive analysis of genetic alterations revealed that subgroups based on mutational signatures had a significant negative impact on disease-free survival (p = 0.0005) and overall survival (p = 0.0024). Several important signaling pathways were identified to be frequently genetically altered in our cohort. A specific subgroup of patients with alterations in NOTCH, RTK/RAS/MAPK, and TGF-beta pathways that had a significantly negative impact on disease-free survival (p = 0.0009). Thirty percent of samples had multiple targetable mutations in multiple pathways, indicating opportunities for novel therapy.

Entities:  

Keywords:  disease-free survival; mutational signatures; oncogenic signaling pathway; oral cavity squamous cell carcinoma; overall survival; pathway instability

Year:  2021        PMID: 34070941     DOI: 10.3390/cancers13112709

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  27 in total

1.  TGFβ mediated LINC00273 upregulation sponges mir200a-3p and promotes invasion and metastasis by activating ZEB1.

Authors:  Arnab Sarkar; Ashikur Rahaman; Ipsita Biswas; Gopeswar Mukherjee; Subhrangsu Chatterjee; Shamee Bhattacharjee; Deba Prasad Mandal
Journal:  J Cell Physiol       Date:  2020-02-04       Impact factor: 6.384

2.  Exome sequencing of head and neck squamous cell carcinoma reveals inactivating mutations in NOTCH1.

Authors:  Nishant Agrawal; Mitchell J Frederick; Curtis R Pickering; Chetan Bettegowda; Kyle Chang; Ryan J Li; Carole Fakhry; Tong-Xin Xie; Jiexin Zhang; Jing Wang; Nianxiang Zhang; Adel K El-Naggar; Samar A Jasser; John N Weinstein; Lisa Treviño; Jennifer A Drummond; Donna M Muzny; Yuanqing Wu; Laura D Wood; Ralph H Hruban; William H Westra; Wayne M Koch; Joseph A Califano; Richard A Gibbs; David Sidransky; Bert Vogelstein; Victor E Velculescu; Nickolas Papadopoulos; David A Wheeler; Kenneth W Kinzler; Jeffrey N Myers
Journal:  Science       Date:  2011-07-28       Impact factor: 47.728

3.  Ultra-deep targeted sequencing of advanced oral squamous cell carcinoma identifies a mutation-based prognostic gene signature.

Authors:  Shu-Jen Chen; Hsuan Liu; Chun-Ta Liao; Po-Jung Huang; Yi Huang; An Hsu; Petrus Tang; Yu-Sun Chang; Hua-Chien Chen; Tzu-Chen Yen
Journal:  Oncotarget       Date:  2015-07-20

4.  Comprehensive genomic characterization of head and neck squamous cell carcinomas.

Authors: 
Journal:  Nature       Date:  2015-01-29       Impact factor: 49.962

5.  CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing.

Authors:  Eric Talevich; A Hunter Shain; Thomas Botton; Boris C Bastian
Journal:  PLoS Comput Biol       Date:  2016-04-21       Impact factor: 4.475

6.  LINCRNA00273 promotes cancer metastasis and its G-Quadruplex promoter can serve as a novel target to inhibit cancer invasiveness.

Authors:  Samarjit Jana; Jagannath Jana; Kartick Patra; Soma Mondal; Jyotsna Bhat; Arnab Sarkar; Pallabi Sengupta; Anindya Biswas; Meghomukta Mukherjee; Satya Prakash Tripathi; Rahul Gangwal; Joyita Hazra; Abhay T Sangamwar; Gopeswar Mukherjee; Shamee Bhattacharjee; Deba Prasad Mandal; Subhrangsu Chatterjee
Journal:  Oncotarget       Date:  2017-11-17

7.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

8.  Mutational heterogeneity in cancer and the search for new cancer-associated genes.

Authors:  Michael S Lawrence; Petar Stojanov; Paz Polak; Gregory V Kryukov; Kristian Cibulskis; Andrey Sivachenko; Scott L Carter; Chip Stewart; Craig H Mermel; Steven A Roberts; Adam Kiezun; Peter S Hammerman; Aaron McKenna; Yotam Drier; Lihua Zou; Alex H Ramos; Trevor J Pugh; Nicolas Stransky; Elena Helman; Jaegil Kim; Carrie Sougnez; Lauren Ambrogio; Elizabeth Nickerson; Erica Shefler; Maria L Cortés; Daniel Auclair; Gordon Saksena; Douglas Voet; Michael Noble; Daniel DiCara; Pei Lin; Lee Lichtenstein; David I Heiman; Timothy Fennell; Marcin Imielinski; Bryan Hernandez; Eran Hodis; Sylvan Baca; Austin M Dulak; Jens Lohr; Dan-Avi Landau; Catherine J Wu; Jorge Melendez-Zajgla; Alfredo Hidalgo-Miranda; Amnon Koren; Steven A McCarroll; Jaume Mora; Brian Crompton; Robert Onofrio; Melissa Parkin; Wendy Winckler; Kristin Ardlie; Stacey B Gabriel; Charles W M Roberts; Jaclyn A Biegel; Kimberly Stegmaier; Adam J Bass; Levi A Garraway; Matthew Meyerson; Todd R Golub; Dmitry A Gordenin; Shamil Sunyaev; Eric S Lander; Gad Getz
Journal:  Nature       Date:  2013-06-16       Impact factor: 49.962

9.  The Ensembl Variant Effect Predictor.

Authors:  William McLaren; Laurent Gil; Sarah E Hunt; Harpreet Singh Riat; Graham R S Ritchie; Anja Thormann; Paul Flicek; Fiona Cunningham
Journal:  Genome Biol       Date:  2016-06-06       Impact factor: 13.583

10.  Maftools: efficient and comprehensive analysis of somatic variants in cancer.

Authors:  Anand Mayakonda; De-Chen Lin; Yassen Assenov; Christoph Plass; H Phillip Koeffler
Journal:  Genome Res       Date:  2018-10-19       Impact factor: 9.043

View more
  3 in total

1.  Identification of CFHR4 as a Potential Prognosis Biomarker Associated With lmmune Infiltrates in Hepatocellular Carcinoma.

Authors:  Hongjun Yu; Chaoqun Wang; Shanjia Ke; Miaoyu Bai; Yanan Xu; Shounan Lu; Zhigang Feng; Baolin Qian; Yue Xu; Menghua Zhou; Zihao Li; Bing Yin; Xinglong Li; Yongliang Hua; Yongzhi Zhou; Shangha Pan; Yao Fu; Yong Ma
Journal:  Front Immunol       Date:  2022-06-22       Impact factor: 8.786

Review 2.  Shooting at Moving and Hidden Targets-Tumour Cell Plasticity and the Notch Signalling Pathway in Head and Neck Squamous Cell Carcinomas.

Authors:  Joanna Kałafut; Arkadiusz Czerwonka; Alinda Anameriç; Alicja Przybyszewska-Podstawka; Julia O Misiorek; Adolfo Rivero-Müller; Matthias Nees
Journal:  Cancers (Basel)       Date:  2021-12-10       Impact factor: 6.639

3.  Signature construction and molecular subtype identification based on cuproptosis-related genes to predict the prognosis and immune activity of patients with hepatocellular carcinoma.

Authors:  Xingyu Peng; Jinfeng Zhu; Sicheng Liu; Chen Luo; Xun Wu; Zitao Liu; Yanzhen Li; Rongfa Yuan
Journal:  Front Immunol       Date:  2022-09-28       Impact factor: 8.786

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.