Evidence map›Paper›PMID 30864286›Full record

ArticleCancer medicine2019

Early-onset triple-negative breast cancer in multiracial/ethnic populations: Distinct trends of prevalence of truncation mutations.

Qian Liu, Song Yao, Hua Zhao, Qiang Hu, Marilyn L Kwan, Janise M Roh, Christine B Ambrosone, Lawrence H Kushi, Song Liu, Qianqian Zhu

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

10 authors at 3 institutions in 1 country.

Qian LiuDepartment of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
Song YaoDepartment of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
Hua ZhaoDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Qiang HuDepartment of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
Marilyn L KwanDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Janise M RohDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Christine B AmbrosoneDepartment of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
Lawrence H KushiDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Song LiuDepartment of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
Qianqian ZhuDepartment of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York.ORCID 0000-0003-2516-6675
Roswell Park Comprehensive Cancer Center · USKaiser Permanente · USThe University of Texas MD Anderson Cancer Center · US

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MARK G FRATTINI · 1985 to 2026
$116.6M
Prospective Study of Breast Cancer SurvivorshipR01CA105274 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KUSHI, LAWRENCE H · 2004 to 2014
$19.9M
Infrastructure for Pathways, a Prospective Study of Breast Cancer SurvivorshipU01CA195565 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI AMBROSONE, CHRISTINE B., KUSHI, LAWRENCE H · 2016 to 2025
$18.8M
Immuno-Oncology Translation Network: Data Management and Resource-Sharing Center at RPCIU24CA232979 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI HUTSON, ALAN DAVID, LIU, SONG · 2018 to 2024
$8.9M
Sequencing to Identify Novel Breast Cancer Risk Factors in African American WomenR21CA162218 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI LIU, SONG, ZHAO, HUA · 2011 to 2012
$323k
NCI NIH HHS P30 CA016056NCI NIH HHS R01 CA105274NCI NIH HHS R21 CA162218NCI NIH HHS U01 CA195565NCI NIH HHS U24 CA232979
6 · The paper itself

Abstract

Young black women are at higher risk of triple-negative breast cancer (TNBC); however, a majority of the genetic studies on cancer predisposition were carried out in White populations. The underrepresentation of minority racial/ethnic populations in cancer genetic studies may have led to disproportionate gaps in our knowledge of cancer predisposition genes in these populations. We surveyed the protein-truncating mutations at the exome-wide scale and in known breast cancer predisposition genes among 170 patients of multiple racial/ethnic groups with early-onset (≤age 50) TNBC from two independent cohorts. Black patients, on average, had a higher number of truncating mutations than Whites at the exome-wide level, but fewer truncating mutations in the panel of known breast cancer genes. White TNBC patients showed a strong enrichment of truncating variants in known breast cancer genes, whereas no such enrichment was found among Black patients. Our findings indicate likely more breast cancer disposition genes yet to be discovered in minority racial/ethnic groups, and the current multigene panels may result in unequal benefits from cancer genetic testing.

Indexed as

MutationAdultAge of OnsetAsianBlack or African AmericanCaliforniaFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHigh-Throughput Nucleotide SequencingHispanic or LatinoHumansMiddle AgedProspective StudiesTriple Negative Breast NeoplasmsWhite Peoplecancer screeningearly-onsethealth disparitynext-generation sequencingtriple-negative breast cancer

Identifiers

PMID30864286
PMCPMC6488149
OpenAlexW2920877542

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.