Evidence map›Paper›PMID 35578919›Full record

ArticleCancer2022

Racial disparity in distant recurrence-free survival in patients with localized breast cancer: A pooled analysis of National Surgical Adjuvant Breast and Bowel Project trials.

Gina Kim, Jessica M Pastoriza, Jiyue Qin, Juan Lin, George S Karagiannis, John S Condeelis, Greg Yothers, Stewart Anderson, Thomas Julian, David Entenberg and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

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  9. Racial and regional disparities in deaths in breast cancer.Medical oncology (Northwood, London, England) · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 2 countries.

Gina KimDepartment of Anatomy and Structural Biology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.ORCID 0000-0002-4389-8653
Jessica M PastorizaDepartment of Surgery, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.ORCID 0000-0001-8797-3427
Jiyue QinDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
Juan LinDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
George S KaragiannisDepartment of Anatomy and Structural Biology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
John S CondeelisDepartment of Anatomy and Structural Biology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
Greg YothersDepartment of Biostatistics, Graduate School of Public, Health at University of Pittsburgh, Pittsburgh, Pennsylvania.
Stewart AndersonDepartment of Biostatistics, Graduate School of Public, Health at University of Pittsburgh, Pittsburgh, Pennsylvania.
Thomas JulianNRG Oncology, Philadelphia, Pennsylvania.
David EntenbergDepartment of Anatomy and Structural Biology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.ORCID 0000-0003-0422-7264
Thomas E RohanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
Xiaonan XueDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
Joseph A SparanoDivision of Hematology/Oncology, Icahn School of Medicine at Mount Sinai, Tisch Cancer Institute, New York, New York.
Maja H OktayDepartment of Anatomy and Structural Biology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
Albert Einstein College of Medicine · USUniversity of Pittsburgh · USAllegheny General Hospital · USTisch Hospital · US

Funding

NRG Oncology Network Group Operations Center - GY9 BIQSFP Reports/BudgetsU10CA180868 · NCI · NRG ONCOLOGY FOUNDATION, INC. · PI NORMAN WOLMARK · 2014 to 2026
$206.8M
Statistics CoreU10CA180822 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Elaina Harper · 2014 to 2026
$146.4M
NRG Oncology NCORP Research Base-BIQSFPUG1CA189867 · NCI · NRG ONCOLOGY FOUNDATION, INC. · PI Deborah Watkins Bruner, Lisa A. Kachnic · 2014 to 2026
$140.5M
WORD PROCESSORP30CA013330 · NCI · YESHIVA UNIVERSITY · PI STEVEN C. ALMO · 1985 to 2026
$111.2M
CTSA Administrative Supplement for Informatics Core: A novel AI/ML system to predict respiratory failure and ARDS in Covid-19 patientsUL1TR002556 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, KIM, MIMI Y · 2018 to 2022
$26.7M
Montefiore Academic Community NCORP ProgramUG1CA189859 · NCI · MONTEFIORE MEDICAL CENTER (BRONX, NY) · PI Balazs Halmos, Della Makower · 2014 to 2026
$10.8M
Training of Surgeons for Studies of the Tumor MicroenvironmentT32CA200561 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI MCAULIFFE, JOHN · 2015 to 2024
$2.7M
NCATS NIH HHS UL1 TR002556NCI NIH HHS P30 CA013330NCI NIH HHS T32 CA200561NCI NIH HHS U10 CA180822NCI NIH HHS U10 CA180868NCI NIH HHS UG1 CA189859NCI NIH HHS UG1 CA189867
6 · The paper itself

Abstract

backgroundBlack race is associated with worse outcome in patients with breast cancer. The distant relapse-free survival (DRFS) between Black and White women with localized breast cancer who participated in National Cancer Institute-sponsored clinical trial was evaluated.

methodsPooled data were analyzed from 8 National Surgical Adjuvant Breast and Bowel Project (NSABP) trials including 9702 women with localized breast cancer treated with adjuvant chemotherapy (AC, n = 7485) or neoadjuvant chemotherapy (NAC, n = 2217), who self-reported as Black (n = 1070) or White (n = 8632) race. The association between race and DRFS was analyzed using log-rank tests and multivariate Cox regression.

resultsAfter adjustment for covariates including age, tumor size, nodal status, body mass index and taxane use, and treatment (AC vs NAC), Black race was associated with an inferior DRFS in estrogen receptor-positive (ER+; hazard ratio [HR], 1.24; 95% CI, 1.05-1.46; P = .01), but not in ER- disease (HR, 0.97; 95% CI, 0.83-1.14; P = .73), and significant interaction between race and ER status was observed (P = .03). There was no racial disparity in DRFS among patients with pathologic complete response (pCR) (log-rank P = .8). For patients without pCR, Black race was associated with worse DRFS in ER+ (HR, 1.67; 95% CI, 1.14-2.45; P = .01), but not in ER- disease (HR, 0.91; 95% CI, 0.65-1.28; P = .59).

conclusionsBlack race was associated with significantly inferior DRFS in ER+ localized breast cancer treated with AC or NAC, but not in ER- disease. In the NAC group, racial disparity was also observed in patients with residual ER+ breast cancer at surgery, but not in those who had pCR. LAY SUMMARY: Black women with breast cancer have worse outcomes compared with White women. We investigated if this held true in the context of clinical trials that provide controlled treatment setting. Black women with cancer expressing estrogen receptors (ERs) had worse outcome than White women. If breast cancers did not express ERs, there was no racial disparity in outcome. We also observed racial disparity in women who received chemotherapy before their cancer was removed, but only if they had cancer expressing ERs and residual disease on completion of treatment. If the cancer disappeared with presurgical chemotherapy, there was no racial disparity.

Indexed as

Breast NeoplasmsChemotherapy, AdjuvantFemaleHumansNeoadjuvant TherapyNeoplasm Recurrence, LocalReceptors, EstrogenReceptors, EstrogenAfrican Americansbreast neoplasmshumansNational Cancer Institute (US)neoadjuvant therapyneoplasmresidualretrospective study

Identifiers

PMID35578919
PMCPMC10265693
OpenAlexW4280542541

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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.