Evidence map›Paper›PMID 28069798›Full record

ArticleCancer research2017

Integrative Comparison of mRNA Expression Patterns in Breast Cancers from Caucasian and Asian Americans with Implications for Precision Medicine.

Yanxia Shi, Albert Steppi, Ye Cao, Jianan Wang, Max M He, Liren Li, Jinfeng Zhang

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

21 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  8. Multimerin-1 and cancer: a review.Bioscience reports · 2022
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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

7 authors at 4 institutions in 2 countries.

Yanxia Shi *Department of medical oncology, Sun Yet-sen University cancer center, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, State Key Laboratory of Oncology in South China, Guangdong, PR China.
Albert Steppi *Department of statistics, Florida State University, Tallahassee, FL 32306.
Ye Cao *Department of medical oncology, Sun Yet-sen University cancer center, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University, State Key Laboratory of Oncology in South China, Guangdong, PR China.
Jianan WangNo. 2 High school of East China Normal University, Shanghai, 201203, China.
Max M HeCenter for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, WI 54449, USA.
Liren LiBiomedical Informatics Research Center, Marshfield Clinic Research Foundation, Marshfield, WI 54449, USA.
Jinfeng ZhangDepartment of statistics, Florida State University, Tallahassee, FL 32306.
Sun Yat-sen University · CNFlorida State University · USEast China Normal University · CNMarshfield Clinic · US

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Collaborative Research: Mathematical Framework for Biomolecules: From Protein to RNA to ChromosomesR01GM126558 · NIGMS · FLORIDA STATE UNIVERSITY · PI ZHANG, JINFENG · 2017 to 2021
$1.5M
Elastic Shape Analysis for Protein Structure Alignment-New Advancement in an OldR21GM101552 · NIGMS · FLORIDA STATE UNIVERSITY · PI ZHANG, JINFENG · 2012 to 2013
$375k
NCATS NIH HHS UL1 TR000427NIGMS NIH HHS R01 GM126558NIGMS NIH HHS R21 GM101552
6 · The paper itself

Abstract

Asian Americans (AS) have significantly lower incidence and mortality rates of breast cancer than Caucasian Americans (CA). Although this racial disparity has been documented, the underlying pathogenetic factors explaining it are obscure. We addressed this issue by an integrative genomics approach to compare mRNA expression between AS and CA cases of breast cancer. RNA-seq data from the Cancer Genome Atlas showed that mRNA expression revealed significant differences at gene and pathway levels. Increased susceptibility and severity in CA patients were likely the result of synergistic environmental and genetic risk factors, with arachidonic acid metabolism and PPAR signaling pathways implicated in linking environmental and genetic factors. An analysis that also added eQTL data from the Genotype-Tissue Expression Project and SNP data from the 1,000 Genomes Project identified several SNPs associated with differentially expressed genes. Overall, the associations we identified may enable a more focused study of genotypic differences that may help explain the disparity in breast cancer incidence and mortality rates in CA and AS populations and inform precision medicine. Cancer Res; 77(2); 423-33. ©2016 AACR.

Indexed as

AdultAgedAsianBreast NeoplasmsFemaleGene Expression ProfilingGene Regulatory NetworksGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHigh-Throughput Nucleotide SequencingHumansMiddle AgedPolymorphism, Single NucleotidePrecision MedicineRNA, MessengerRNA, Messenger

Identifiers

PMID28069798
PMCPMC5243181
OpenAlexW2551719757

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.