Evidence map›Paper›PMID 39798410›Full record

ArticleThe Journal of surgical research2025

Factors Associated With Minority Patient Enrollment in a Gastric Cancer Biobank.

Morgan F Pettigrew, Amr I Al Abbas, Anida Southichack, Michelle R Ju, Suntrea T G Hammer, Yulun Liu, Matthew R Porembka, Sam C Wang

Abstract read
In one paragraph

Article in The Journal of surgical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Morgan F PettigrewDivision of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas.
Amr I Al AbbasDivision of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas.
Anida SouthichackTissue Management Shared Resource, Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas.
Michelle R JuDivision of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas.
Suntrea T G HammerDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas.
Yulun LiuPeter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, Texas.
Matthew R PorembkaDivision of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas.
Sam C WangDivision of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, Texas. Electronic address: sam.wang@utsouthwestern.edu.

Funding

UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Kathryn Ann O'Donnell · 2010 to 2026
$53.7M
University of California Minority Patient-Derived Xenograft (PDX) Development and Trial Center (UCaMP) to Reduce Cancer Health DisparitiesU54CA233306 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CARVAJAL CARMONA, LUIS GUILLERMO, CHEN, MOON SHAO-CHUANG · 2018 to 2022
$6.8M
University of California and UT Southwestern D-PDTCU54CA283766 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Luis Guillermo Carvajal Carmona · 2023 to 2026
$5.9M
Determining the role of germline CDH1 variants in gastric cancer outcome disparities in Hispanic/Latino patientsR37CA265967 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Sam C. Wang · 2022 to 2026
$3.6M
Using artificial intelligence to discover spatial, genomic, and pathologic biomarkers to guide and augment immune checkpoint inhibitor therapy for gastric cancerR01CA276690 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Tae Hyun Hwang, Sam C. Wang · 2024 to 2026
$2.0M
NCI NIH HHS P30 CA142543NCI NIH HHS R01 CA276690NCI NIH HHS R37 CA265967NCI NIH HHS U54 CA233306NCI NIH HHS U54 CA283766
6 · The paper itself

Abstract

introductionHuman tissue samples are essential for translational cancer research. However, less than 20% of current biobank and genomic samples were obtained from minority patients, which may lead to biased understanding of cancer biology. The objective of this study was to identify factors associated with patient enrollment in our institution's gastric cancer biobank.

methodsPatients with suspected or confirmed gastric or gastroesophageal junction cancer undergoing surgical procedures at our institution were invited to enroll in a prospective gastric cancer biobank. We retrospectively reviewed patients who were invited to enroll from 2017 to 2023 at our safety-net and university hospitals. We compared patients who enrolled to those who declined to identify factors that predict enrollment.

resultsHispanic patients had similar odds of enrollment as non-Hispanic White patients (odds ratio (OR): 1.22, 95% confidence interval (CI): 0.54-2.73, P = 0.63). Non-Hispanic minorities (Black/African Americans and Asians) were less likely to enroll when compared to non-Hispanic Whites (OR: 0.41, 95% CI: 0.18-0.95, P = 0.04). Minority patients treated at our safety-net hospital had higher odds of enrollment than those treated at our university hospital (OR: 2.62, 95% CI: 1.11-5.99, P = 0.02).

conclusionsEfforts to improve diversity in biomedical research cannot consider minority patients as a monolithic cohort. Instead, targeted interventions that address diverse cultural concerns and improve access to enrollment at safety-net centers are requisite.

Indexed as

Biological Specimen BanksEsophageal NeoplasmsMinority GroupsPatient SelectionStomach NeoplasmsAgedEsophagogastric JunctionFemaleHispanic or LatinoHumansMaleMiddle AgedRetrospective StudiesWhiteBiobankDisparitiesDiversityEnrollmentGastric cancerGastrointestinal cancerOncology

Identifiers

PMID39798410
PMCPMC11911076

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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.