Evidence map›Paper›PMID 26212640›Full record

ArticleScientific reports2015

Genome-wide mutational spectra analysis reveals significant cancer-specific heterogeneity.

Hua Tan, Jiguang Bao, Xiaobo Zhou

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 5% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

65 citing papers in PubMed, 2 syntheses or guidelines pooled it, 104 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  14. Proteoglycans: a common portal for SARS-CoV-2 and extracellular vesicle uptake.American journal of physiology. Cell physiology · 2023
    Review
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5 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 2 countries.

Hua Tan1] Center for Bioinformatics &Systems Biology, Department of Radiology, Wake Forest School of Medicine, Winston-Salem 27157, USA [2] College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China.
Jiguang BaoSchool of Mathematical Sciences, Beijing Normal University, Beijing 100875, China.
Xiaobo ZhouCenter for Bioinformatics &Systems Biology, Department of Radiology, Wake Forest School of Medicine, Winston-Salem 27157, USA.
Wake Forest University · USBeijing Normal University · CN

Funding

Modelling the Growth of the MIC Niche at the System LevelU01CA166886 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ZHOU, XIAOBO · 2012 to 2016
$2.2M
System Biology Approach for Signaling Transduction Study of Complex PhenotypesR01LM010185 · NLM · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ZHOU, XIAOBO, ZU, YOULI · 2009 to 2012
$1.3M
itNETZ: Integrative and Translational Network-based Cellular Signature AnalyzerU01HL111560 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ZHOU, XIAOBO · 2011 to 2013
$1.1M
NCI NIH HHS 1U01CA166886NCI NIH HHS U01 CA166886NHLBI NIH HHS 1U01HL111560NHLBI NIH HHS U01 HL111560NLM NIH HHS 1R01LM010185NLM NIH HHS R01 LM010185
6 · The paper itself

Abstract

Cancer is widely recognized as a genetic disease in which somatic mutations are sequentially accumulated to drive tumor progression. Although genomic landscape studies are informative for individual cancer types, a comprehensive comparative study of tumorigenic mutations across cancer types based on integrative data sources is still a pressing need. We systematically analyzed ~10(6) non-synonymous mutations extracted from COSMIC, involving ~8000 genome-wide screened samples across 23 major human cancers at both the amino acid and gene levels. Our analysis identified cancer-specific heterogeneity that traditional nucleotide variation analysis alone usually overlooked. Particularly, the amino acid arginine (R) turns out to be the most favorable target of amino acid alteration in most cancer types studied (P < 10(-9), binomial test), reflecting its important role in cellular physiology. The tumor suppressor gene TP53 is mutated exclusively with the HYDIN, KRAS, and PTEN genes in large intestine, lung, and endometrial cancers respectively, indicating that TP53 takes part in different signaling pathways in different cancers. While some of our analyses corroborated previous observations, others indicated relevant candidates with high priority for further experimental validation. Our findings have many ramifications in understanding the etiology of cancer and the underlying molecular mechanisms in particular cancers.

Indexed as

Amino AcidsBiomarkers, TumorChromosome MappingDatabases, GeneticGenes, NeoplasmGenetic MarkersGenetic Predisposition to DiseaseGenome, HumanHumansMutationNeoplasm ProteinsNeoplasmsPolymorphism, Single NucleotideAmino AcidsBiomarkers, TumorGenetic MarkersNeoplasm Proteins

Identifiers

PMID26212640
PMCPMC4515826
OpenAlexW2272616382

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.