Results 21 to 30 of about 79,548 (256)

Comprehensive analyses of genomic features and mutational signatures in adenosquamous carcinoma of the lung

Frontiers in Oncology, 2022
Adenosquamous carcinoma (ASC) of the lung is a relatively rare tumor with strong aggressiveness and poor prognosis. The analysis of mutational signatures is becoming routine in cancer genomics and has implications for pathogenesis, classification, and ...
Hongbiao Wang, Jun Liu, Sujuan Zhu, Kun Miao, Zhifeng Li, Xiaofang Qi, Lujia Huang, Lijie Guo, Yan Wang, Yuyin Cai, Yingcheng Lin   +10 more
doaj   +1 more source

Mutational Signatures Associate With Survival in Gastrointestinal Carcinomas [PDF]

, 2022
Background/Aim: Mutational signatures reflect common patterns based on the counts of mutations and their sequence context. The prognostic value of these signatures, mirroring various carcinogenetic processes of cancers, are unexplored in gastrointestinal
Karihtala, Peeter, Kilpivaara, Outi, Porvari, Katja   +2 more
core   +2 more sources

A practical framework RNMF for exploring the association between mutational signatures and genes using gene cumulative contribution abundance

Cancer Medicine, 2022
Background Mutational signatures are somatic mutation patterns enriching operational mutational processes, which can provide abundant information about the mechanism of cancer.
Zhenzhang Li, Haihua Liang, Shaoan Zhang, Wen Luo   +3 more
doaj   +1 more source

A practical framework and online tool for mutational signature analyses show inter-tissue variation and driver dependencies [PDF]

, 2020
Mutational signatures are patterns of mutations that arise during tumorigenesis. We present an enhanced, practical framework for mutational signature analyses.
Nik-Zainal Abidin, Nik
core   +1 more source

The repertoire of mutational signatures in human cancer [PDF]

, 2020
Somatic mutations in cancer genomes are caused by multiple mutational processes, each of which generates a characteristic mutational signature(1). Here, as part of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium(2) of the International Cancer
Alexandrov, Ludmil B., López Bigas, Núria, PCAWG Consortium   +2 more
core   +1 more source

An Investigation of Mutational Signatures in the Evolution of Oesophageal adenocarcinoma [PDF]

, 2022
An Investigation of Mutational Signatures in the Evolution of Oesophageal adenocarcinoma Sujath Abbas Oesophageal adenocarcinoma (OAC) remains a public health challenge with dismal survival rates and increasing incidence.
Abbas, Sujath
core   +1 more source

Mutational landscape differences between young-onset and older-onset breast cancer patients

BMC Cancer, 2020
Background The incidence of breast cancer among young women (aged ≤40 years) has increased in North America and Europe. Fewer than 10% of cases among young women are attributable to inherited BRCA1 or BRCA2 mutations, suggesting an important role for ...
Nicole E. Mealey, Dylan E. O’Sullivan, Joy Pader, Yibing Ruan, Edwin Wang, May Lynn Quan, Darren R. Brenner   +6 more
doaj   +1 more source

Deep learning model accurately classifies metastatic tumors from primary tumors based on mutational signatures

Scientific Reports, 2023
Metastatic propagation is the leading cause of death for most cancers. Prediction and elucidation of metastatic process is crucial for the treatment of cancer.
Weisheng Zheng, Mengchen Pu, Xiaorong Li, Zhaolan Du, Sutong Jin, Xingshuai Li, Jielong Zhou, Yingsheng Zhang   +7 more
doaj   +1 more source

Uncovering novel mutational signatures by de novo extraction with SigProfilerExtractor [PDF]

, 2022
Mutational signature analysis is commonly performed in cancer genomic studies. Here, we present SigProfilerExtractor, an automated tool for de novo extraction of mutational signatures, and benchmark it against another 13 bioinformatics tools by using 34 ...
Abbasi, A, Adams, DJ, Alexandrov, BS, Alexandrov, LB, Barnes, M, Bergstrom, EN, Brady, SW, Brennan, P, Clapham, P, Díaz-Gay, M, Gruber, AJ, He, Y, Humphreys, L, Islam, SMA, Khandekar, A, Landi, MT, Li, YR, Martincorena, I, Moody, S, Otlu, B, Pillay, N, Riva, L, Rozen, SG, Senkin, S, Steele, CD, Stratton, MR, Syulyukina, N, Teague, JW, Vangara, R, Vella, M, Wang, J, Wedge, DC, Wu, Y, Zhang, J, Zhang, T   +34 more
core  

Mutational processes in cancer preferentially affect binding of particular transcription factors

Scientific Reports, 2021
Protein binding microarrays provide comprehensive information about the DNA binding specificities of transcription factors (TFs), and can be used to quantitatively predict the effects of DNA sequence variation on TF binding.
Mo Liu, Arnoud Boot, Alvin W. T. Ng, Raluca Gordân, Steven G. Rozen   +4 more
doaj   +1 more source