The clinical and psychosocial consequences of genomic Multi-Cancer Detection (MCD) tests in underserved populations: a scoping review

Multi-cancer detection (MCD) tests currently being tested in clinical trials may be a scalable, convenient means to improve cancer screening, yet little is known about the potential clinical and psychosocial consequences of doing so in underserved communities. To summarize the current literature examining potential clinical and psychosocial outcomes and consequences for MCD testing in underserved populations. We searched and then reviewed articles from five databases: PubMed, Embase, Scopus, Web of Science, and Cochrane. For inclusion, studies had to primarily focus on MCD testing within underserved populations. Out of 376 articles identified, 29 met inclusion criteria. Financial constraints were the most frequently cited barrier ( n = 23). 24 articles mentioned clinical consequences and nine mentioned psychosocial consequences, with the most common being lower rates of cancer screening with proven existing recommended tests ( n = 10) and emotional stress, worry, and anxiety ( n = 11), respectively. Many expressed concerns about underrepresentation in clinical trials. The review highlights common potential clinical consequences as well as important factors underserved populations may face if/when MCD testing is implemented in their healthcare. Future prospective studies, experimental and observational, should intentionally include underrepresented patient populations to better understand and address these challenges.

Authors

Institutions

Publication Details

Journal
BMC Cancer
Published
2026-07-24
DOI
https://doi.org/10.1186/s12885-026-16454-9
Primary Topic
BRCA gene mutations in cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The clinical and psychosocial consequences of genomic Multi-Cancer Detection (MCD) tests in underserved populations: a scoping review

Amanda Courtright-Lim, Esther Low, Shritha Gayathri, Steven Ressler et al.
BMC Cancer
BRCA gene mutations in cancer
article

The clinical and psychosocial consequences of genomic Multi-Cancer Detection (MCD) tests in underserved populations: a scoping review

Amanda Courtright-Lim, Esther Low, Shritha Gayathri, Steven Ressler, Jon Tilburt, Alexandra Wicker, Jewel Samadder, Jessica Austin
article en

Abstract

Multi-cancer detection (MCD) tests currently being tested in clinical trials may be a scalable, convenient means to improve cancer screening, yet little is known about the potential clinical and psychosocial consequences of doing so in underserved communities. To summarize the current literature examining potential clinical and psychosocial outcomes and consequences for MCD testing in underserved populations. We searched and then reviewed articles from five databases: PubMed, Embase, Scopus, Web of Science, and Cochrane. For inclusion, studies had to primarily focus on MCD testing within underserved populations. Out of 376 articles identified, 29 met inclusion criteria. Financial constraints were the most frequently cited barrier ( n = 23). 24 articles mentioned clinical consequences and nine mentioned psychosocial consequences, with the most common being lower rates of cancer screening with proven existing recommended tests ( n = 10) and emotional stress, worry, and anxiety ( n = 11), respectively. Many expressed concerns about underrepresentation in clinical trials. The review highlights common potential clinical consequences as well as important factors underserved populations may face if/when MCD testing is implemented in their healthcare. Future prospective studies, experimental and observational, should intentionally include underrepresented patient populations to better understand and address these challenges.

BMC Cancer
University of North Carolina at Chapel Hill (US), WinnMed (US), Mayo Clinic Hospital (US), Mayo Clinic in Florida (US), University of Oklahoma Health Sciences Center (US), Arizona State University (US)
Reduced inequalities
Openalex Percentile: Top 9%
BRCA gene mutations in cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.