Evidence map›Paper›PMID 41091832›Full record

ArticlePLoS medicine2025

Prognostic significance of CD8+ T cell Spatial Biomarkers in ER+ and ER- breast cancer: A retrospective cohort study.

Andrew E Walker, Xiaohua Gao, Qichen Wang, Gabriela De la Cruz, Didong Li, Charles M Perou, Joel Saltz, James Steve Marron, Katherine A Hoadley, Melissa A Troester

Abstract read
In one paragraph

Article in PLoS medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Andrew E WalkerDepartment of Statistics and Operations Research, University of North Carolina, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0009-0006-1729-3913
Xiaohua GaoUNC Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0003-4308-6126
Qichen WangDepartment of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Gabriela De la CruzUNC Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0002-6019-5853
Didong LiDepartment of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0001-9146-705X
Charles M PerouUNC Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0001-9827-2247
Joel SaltzDepartment of Biomedical Informatics, Stony Brook University, Stony Brook, New York, United States of America.ORCID https://orcid.org/0000-0002-3451-2165
James Steve MarronDepartment of Statistics and Operations Research, University of North Carolina, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0003-2000-1476
Katherine A HoadleyUNC Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0002-1216-477X
Melissa A TroesterUNC Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, United States of America.

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KATHERINE A. HOADLEY · 1992 to 2026
$59.3M
P53, DNA Repair Imbalance, and Immune Response in Breast Cancer Mortality DisparitiesR01CA253450 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KATHERINE A. HOADLEY, Melissa A. Troester · 2021 to 2026
$3.6M
NCI NIH HHS P30 CA016086NCI NIH HHS P50 CA058223NCI NIH HHS R01 CA253450
6 · The paper itself

Abstract

backgroundTumor infiltrating lymphocytes (TILs) are prognostic in triple-negative breast cancer, but not estrogen receptor (ER) positive cancers which comprise 70%-80% of breast cancers. This is due to the relatively low immune infiltration in ER-positive tumors. However, few studies have explored the prognostic impact of lower abundance TILs evaluated using spatial methods. The objective of this study was to explore whether the distribution of lymphocytes with respect to tumor cells predicts prognosis. METHODS AND

findingsIn this retrospective cohort study, we used multiplex immunofluorescent (IF)-stained images of tissue microarray cores (stained for cytokeratin [Ck], CD8, and FoxP3) obtained from 1,467 study participants to compute distance-based visual morphometry for epithelial and immune cells, including two new metrics, proximity and consistency. Proximity and consistency are defined as functions of the mean and variance of nearest neighbor distances between Ck+ tumor cells and CD8+ T cells. Prognostic significance of proximity and consistency were compared to lymphocyte counts using log-rank tests of differences in Kaplan-Meier survival curves and Cox proportional hazards models. Better recurrence-free survival (RFS) was observed for both ER+ and ER- breast cancers with high proximity and consistency of CD8+ T cells. Among ER- breast cancers, proximity had the highest RFS hazard ratio (HR 1.84, 95% CI [1.18, 2.87]; p = 0.0069) compared to count and consistency. Among ER-positive participants, RFS hazard ratios for proximity and consistency were 2.04 (95% CI [1.39, 2.98]; p = 0.0003) and 1.82 (95% CI [1.23, 2.69]; p = 0.0026), respectively. These associations were stronger than those observed for lymphocyte count (HR 1.35, 95% CI [0.92, 1.98]; p = 0.1289). Independent prognostic value was demonstrated by controlling clinical and demographic variables such as age, tumor grade, stage, ER status, progesterone receptor status, and human epidermal growth factor receptor 2 status. These IF-derived spatial metrics were also associated with established TILs metrics and RNA expression-based measures of tumor adaptive immune response. Though these results are promising, our exploration of the tumor immune microenvironment was limited by the small number of immune markers available for our data.

conclusionsSpatial characteristics described by proximity and consistency are frequently associated with recurrence irrespective of ER status. The prognostic significance of proximity in ER+ breast cancer implies that spatial parameters may identify individuals who would benefit from immune therapy; up to 75% of breast cancers experience T cell proximity suggestive of immune susceptibility.

Indexed as

Biomarkers, TumorBreast NeoplasmsCD8-Positive T-LymphocytesLymphocytes, Tumor-InfiltratingReceptors, EstrogenAdultAgedFemaleHumansMiddle AgedPrognosisRetrospective StudiesBiomarkers, TumorReceptors, Estrogen

Identifiers

PMID41091832
PMCPMC12539700

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.