Evidence map›Paper›PMID 29057889›Full record

ArticleScientific reports2017

Racial disparities in patient survival and tumor mutation burden, and the association between tumor mutation burden and cancer incidence rate.

Wensheng Zhang, Andrea Edwards, Erik K Flemington, Kun Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 16% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  6. The prognosis and treatment of newly diagnosed bone metastasis of head and neck squamous cell cancer: an analysis of racial disparity.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
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  20. Geographic assessment of cancer genome profiling studies.Database : the journal of biological databases and curation · 2020
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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

4 authors at 2 institutions in 1 country.

Wensheng ZhangDepartment of Computer Science, Bioinformatics facility of Xavier RCMI Center of Cancer Research, Xavier University of Louisiana, 1 Drexel Drive, New Orleans, LA, 70125, USA.
Andrea EdwardsDepartment of Computer Science, Bioinformatics facility of Xavier RCMI Center of Cancer Research, Xavier University of Louisiana, 1 Drexel Drive, New Orleans, LA, 70125, USA.
Erik K FlemingtonTulane School of Medicine, Tulane Cancer Center, Tulane University, 1700 Tulane Ave, New Orleans, LA, 70112, USA.
Kun ZhangDepartment of Computer Science, Bioinformatics facility of Xavier RCMI Center of Cancer Research, Xavier University of Louisiana, 1 Drexel Drive, New Orleans, LA, 70125, USA. kzhang@xula.edu.
Xavier University of Louisiana · USTulane University · US

Funding

"Project 3" MHV68 IncRNA/miRNA interaction in latency and lympomagenesisP01CA214091 · NCI · UNIVERSITY OF FLORIDA · PI ROLF F RENNE · 2017 to 2026
$15.9M
Xavier's RCMI Cancer Research ProgramG12MD007595 · NIMHD · XAVIER UNIVERSITY OF LOUISIANA · PI D'AMOUR, GENE, WANG, GUANGDI · 2012 to 2018
$15.7M
Epstein Barr virus antisense transcriptionR01AI106676 · NIAID · TULANE UNIVERSITY OF LOUISIANA · PI FLEMINGTON, ERIK K · 2014 to 2018
$1.9M
NCI NIH HHS P01 CA214091NIAID NIH HHS R01 AI106676NIMHD NIH HHS G12 MD007595
6 · The paper itself

Abstract

The causes underlying racial disparities in cancer are multifactorial. In addition to socioeconomic issues, biological factors may contribute to these inequities, especially in disease incidence and patient survival. To date, there have been few studies that relate the disparities in these aspects to genetic aberrations. In this work, we studied the impacts of race on the patient survival and tumor mutation burden using the data released by the Cancer Genome Atlas (TCGA). The potential relationship between mutation burden and disease incidence is further inferred by an integrative analysis of TCGA data and the data from the Surveillance, Epidemiology, and End Results (SEER) Program. The results show that disparities are present (p < 0.05) in patient survival of five cancers, such as head and neck squamous cell carcinoma. The numbers of tumor driver mutations are differentiated (p < 0.05) over the racial groups in five cancers, such as lung adenocarcinoma. By treating a specific cancer type and a racial group as an "experimental unit", driver mutation numbers demonstrate a significant (r = 0.46, p < 0.002) positive correlation with cancer incidence rates, especially when the five cancers with mutational disparities are exclusively focused (r = 0.88, p < 0.00002). These results enrich our understanding of racial disparities in cancer and carcinogenic process.

Indexed as

MutationGenetic Association StudiesHumansIncidenceNeoplasmsRacial GroupsSEER ProgramSurvival Analysis

Identifiers

PMID29057889
PMCPMC5651797
OpenAlexW2766092479

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.