Evidence map›Paper›PMID 32920960›Full record

ArticleMolecular oncology2020

Genetic factors associated with cancer racial disparity - an integrative study across twenty-one cancer types.

Yan Li, Xiaodong Pang, Zihan Cui, Yidong Zhou, Feng Mao, Yan Lin, Xiaohui Zhang, Songjie Shen, Peixin Zhu, Tingting Zhao and 2 more

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

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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

12 authors at 4 institutions in 2 countries.

Yan LiDepartment of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Xiaodong PangInsilicom LLC, Tallahassee, FL, USA.ORCID 0000-0001-5985-0470
Zihan CuiDepartment of Statistics, Florida State University, Tallahassee, FL, USA.
Yidong ZhouDepartment of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Feng MaoDepartment of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Yan LinDepartment of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Xiaohui ZhangDepartment of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Songjie ShenDepartment of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Peixin ZhuBoston Biosciences Inc., Boston, MA, USA.
Tingting ZhaoDepartment of Geography, Florida State University, Tallahassee, FL, USA.
Qiang SunDepartment of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Jinfeng ZhangDepartment of Statistics, Florida State University, Tallahassee, FL, USA.ORCID 0000-0002-7429-7615
Chinese Academy of Medical Sciences & Peking Union Medical College · CNFlorida State University · USBroad Institute · USInsilicos (United States) · US

Funding

Collaborative Research: Mathematical Framework for Biomolecules: From Protein to RNA to ChromosomesR01GM126558 · NIGMS · FLORIDA STATE UNIVERSITY · PI ZHANG, JINFENG · 2017 to 2021
$1.5M
NIGMS NIH HHS R01 GM126558
6 · The paper itself

Abstract

It is well known that different racial groups have significantly different incidence and mortality rates for certain cancers. It has been suggested that biological factors play a major role in these cancer racial disparities. Previous studies on the biological factors contributing to cancer racial disparity have generated a very large number of candidate factors, although there is modest agreement among the results of the different studies. Here, we performed an integrative analysis using genomic data of 21 cancer types from TCGA, GTEx, and the 1000 Genomes Project to identify biological factors contributing to racial disparity in cancer. We also built a companion website with additional results for cancer researchers to freely mine. Our study identified genes, gene families, and pathways displaying similar differential expression patterns between different racial groups across multiple cancer types. Among them, XKR9 gene expression was found to be significantly associated with overall survival for all cancers combined as well as for several individual cancers. Our results point to the interesting hypothesis that XKR9 could be a novel drug target for cancer immunotherapy. Bayesian network modeling showed that XKR9 is linked to important cancer-related genes, including FOXM1, cyclin B1, and RB1CC1 (RB1 regulator). In addition, metabolic pathways, neural signaling pathways, and several cancer-related gene families were found to be significantly associated with cancer racial disparities for multiple cancer types. Single nucleotide polymorphisms (SNPs) discovered through integrating data from the TCGA, GTEx, and 1000 Genomes databases provide biologists the opportunity to test highly promising, targeted hypotheses to gain a deeper understanding of the genetic drivers of cancer racial disparity and cancer biology in general.

Indexed as

Apoptosis Regulatory ProteinsGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseGenomicsHumansIncidenceMembrane ProteinsNeoplasmsPolymorphism, Single NucleotideRace FactorsTranscriptomeApoptosis Regulatory ProteinsMembrane ProteinsXKR9 protein, humancancer racial disparitygenetic driversimmunotherapyintegrative genomicssingle nucleotide polymorphismsXKR9

Identifiers

PMID32920960
PMCPMC7607166
OpenAlexW3085770027

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.