Evidence map›Paper›PMID 30803560›Full record

ArticleCancer genetics2019

Untouchable genes in the human genome: Identifying ideal targets for cancer treatment.

Ivan P Gorlov, Olga Y Gorlova, Christopher I Amos

Abstract read
In one paragraph

Article in Cancer genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ivan P GorlovThe Geisel School of Medicine, Department of Biomedical Data Science, Dartmouth College, HB7936, One Medical Center Dr., Dartmouth-Hitchcock Medical Center, Lebanon, NH 03756, United States. Electronic address: ivan.p.gorlov@dartmouth.edu.
Olga Y GorlovaThe Geisel School of Medicine, Department of Biomedical Data Science, Dartmouth College, HB7936, One Medical Center Dr., Dartmouth-Hitchcock Medical Center, Lebanon, NH 03756, United States.
Christopher I AmosDepartment of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, United States.

Funding

Translating Molecular and Clinical Data to Population Lung Cancer Risk AssessmentU19CA203654 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Rayjean J. Hung · 2017 to 2026
$23.7M
Transdisciplinary Research in Cancer of the Lung (TRICL)U19CA148127 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I., LE MARCHAND, LOIC · 2010 to 2014
$10.9M
Sex Differences in Methylome Alterations and Mutational Burden in Early Stage MelanomaP01CA206980 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI BERWICK, MARIANNE, THOMAS, NANCY E. · 2017 to 2022
$10.1M
Predicting SNP priors for Cancer GWASsR56LM012371 · NLM · DARTMOUTH COLLEGE · PI DEMIDENKO, EUGENE · 2017 to 2018
$640k
NCI NIH HHS P01 CA206980NCI NIH HHS U19 CA148127NCI NIH HHS U19 CA203654NLM NIH HHS R56 LM012371
6 · The paper itself

Abstract

backgroundUsually, genes with a higher-than-expected number of somatic mutations in tumor samples are assumed to be cancer related. We identified genes with a fewer-than-expected number of somatic mutations - "untouchable genes".

methodsTo predict the expected number of somatic mutations, we used a linear regression model with the number of mutations in the gene as an outcome, and gene characteristics, including gene size, nucleotide composition, level of evolutionary conservation, expression level and others, as predictors. Analysis of residuals from the regression model was used to compare the observed and predicted number of mutations.

resultsWe have identified 19 genes with a less-than-expected number of loss-off-function (nonsense, frameshift or pathogenic missense) mutations - i.e., untouchable genes. The number of silent or neutral missense mutations in untouchable genes was equal or higher than the expected number. Many mucins, including MUC16, MUC17, MUC6, MUC5AC, MUC5B, and MUC12, are untouchable. We hypothesized that untouchable mucins help tumor cells to avoid immune response by providing a protective coat that prevents direct contact between effector immune cells, e.g., cytotoxic T-cells, and tumor cells. Survival analysis of available TCGA data demonstrated that overall survival of patients with low (below the median) expression of untouchable mucins was better compared to patients with high expression of untouchable mucins. Aside from mucins, we have identified a number of other untouchable genes.

conclusionsUntouchable genes may be ideal targets for cancer treatment since suppression of untouchable genes is expected to inhibit survival of tumor cells.

Indexed as

Genes, NeoplasmGenome, HumanCodon, NonsenseFrameshift MutationHumansLinear ModelsLoss of Function MutationMucinsMutation, MissenseNeoplasmsSurvival AnalysisCodon, NonsenseMucinsCOSMIC databaseGenes with the lower than expected number of somatic mutationsSomatic mutationsTumor samples

Identifiers

PMID30803560
PMCPMC6727980

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.