Pan-cancer clinical impact of latent drivers from double mutations

被引:7
|
作者
Yavuz, Bengi Ruken [1 ]
Tsai, Chung-Jung [2 ]
Nussinov, Ruth [2 ,3 ]
Tuncbag, Nurcan [4 ,5 ,6 ]
机构
[1] Middle East Tech Univ, Grad Sch Informat, Dept Hlth Informat, TR-06800 Ankara, Turkiye
[2] Natl Canc Inst Frederick, Computat Struct Biol Sect, Frederick Natl Lab Canc Res, Frederick, MD 21702 USA
[3] Tel Aviv Univ, Sackler Sch Med, Dept Human Mol Genet & Biochem, IL-69978 Tel Aviv, Israel
[4] Koc Univ, Coll Engn, Dept Chem & Biol Engn, TR-34450 Istanbul, Turkiye
[5] Koc Univ, Sch Med, TR-34450 Istanbul, Turkiye
[6] Koc Univ, Koc Univ Res Ctr Translat Med KUTTAM, TR-34450 Istanbul, Turkiye
基金
美国国家卫生研究院;
关键词
PASSENGER MUTATIONS; PATHWAY ALTERATIONS; BRAF MUTANTS; LUNG-CANCER; SENSITIVITY; DIMERIZATION; INHIBITION; ACTIVATION; MECHANISM; DISCOVERY;
D O I
10.1038/s42003-023-04519-5
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Here, we discover potential 'latent driver' mutations in cancer genomes. Latent drivers have low frequencies and minor observable translational potential. As such, to date they have escaped identification. Their discovery is important, since when paired in cis, latent driver mutations can drive cancer. Our comprehensive statistical analysis of the pan-cancer mutation profiles of similar to 60,000 tumor sequences from the TCGA and AACR-GENIE cohorts identifies significantly co-occurring potential latent drivers. We observe 155 same gene double mutations of which 140 individual components are cataloged as latent drivers. Evaluation of cell lines and patient-derived xenograft response data to drug treatment indicate that in certain genes double mutations may have a prominent role in increasing oncogenic activity, hence obtaining a better drug response, as in PIK3CA. Taken together, our comprehensive analyses indicate that same-gene double mutations are exceedingly rare phenomena but are a signature for some cancer types, e.g., breast, and lung cancers. The relative rarity of doublets can be explained by the likelihood of strong signals resulting in oncogene-induced senescence, and by doublets consisting of non-identical single residue components populating the background mutational load, thus not identified.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Pan-cancer clinical impact of latent drivers from double mutations
    Bengi Ruken Yavuz
    Chung-Jung Tsai
    Ruth Nussinov
    Nurcan Tuncbag
    Communications Biology, 6
  • [2] Pan-cancer drivers of metastasis
    Lusby, Ryan
    Demirdizen, Engin
    Inayatullah, Mohammed
    Kundu, Paramita
    Maiques, Oscar
    Zhang, Ziyi
    Terp, Mikkel Green
    Sanz-Moreno, Victoria
    Tiwari, Vijay K.
    MOLECULAR CANCER, 2025, 24 (01)
  • [3] A pan-cancer analysis of double PIK3CA mutations
    Vasan, N.
    Sivakumar, S.
    Jin, D.
    Ross, J. S.
    Cantley, L. C.
    Scaltriti, M.
    Sokol, E. S.
    ANNALS OF ONCOLOGY, 2020, 31 : S1101 - S1101
  • [4] A pan-cancer analysis of synonymous mutations
    Yogita Sharma
    Milad Miladi
    Sandeep Dukare
    Karine Boulay
    Maiwen Caudron-Herger
    Matthias Groß
    Rolf Backofen
    Sven Diederichs
    Nature Communications, 10
  • [5] A pan-cancer analysis of synonymous mutations
    Sharma, Yogita
    Miladi, Milad
    Dukare, Sandeep
    Boulay, Karine
    Caudron-Herger, Maiwen
    Gross, Matthias
    Backofen, Rolf
    Diederichs, Sven
    NATURE COMMUNICATIONS, 2019, 10 (1)
  • [6] Pan-Cancer Initiative Finds Patterns of Drivers
    不详
    CANCER DISCOVERY, 2013, 3 (12) : 1320 - 1320
  • [7] Pan-cancer genomic analyses uncover molecular drivers
    David Killock
    Nature Reviews Clinical Oncology, 2018, 15 : 263 - 263
  • [8] Associating somatic mutations to clinical outcomes: a pan-cancer study of survival time
    Paul Little
    Dan-Yu Lin
    Wei Sun
    Genome Medicine, 11
  • [9] Clinical and genomic characteristics between DDR germline and somatic mutations in pan-cancer
    Li, Yanchun
    Sun, Tingting
    Zhang, Qin
    Qi, Chuang
    JOURNAL OF CLINICAL ONCOLOGY, 2023, 41 (16)
  • [10] Associating somatic mutations to clinical outcomes: a pan-cancer study of survival time
    Little, Paul
    Lin, Dan-Yu
    Sun, Wei
    GENOME MEDICINE, 2019, 11 (1)