Evidence map›Paper›PMID 41709679›Full record

ArticleCancer research communications2026

Ancestrally Diverse Autologous Patient-Derived Organoid-Immune Cell Coculture Platform for Addressing Immunotherapeutic Outcome Disparities in High-Grade Endometrial Cancer.

Charlie Chung, Brian Yueh, Santhilal Subhash, Onur Eskiocak, Aaron Nizam, Marissa Viola, Pascal Belleau, Ariel Kredentser, Arisa Kapedani, Alexander Krasnitz and 5 more

Abstract read
In one paragraph

Article in Cancer research communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Charlie ChungCold Spring Harbor Laboratory , Cold Spring Harbor, New York.ORCID 0000-0003-1566-9498
Brian YuehCold Spring Harbor Laboratory , Cold Spring Harbor, New York.ORCID 0000-0003-1098-0578
Santhilal SubhashCold Spring Harbor Laboratory , Cold Spring Harbor, New York.ORCID 0000-0002-0077-4597
Onur EskiocakCold Spring Harbor Laboratory , Cold Spring Harbor, New York.ORCID 0000-0001-5177-7109
Aaron NizamCold Spring Harbor Laboratory , Cold Spring Harbor, New York.ORCID 0000-0002-6433-0370
Marissa ViolaRevitope Oncology, Concord, Massachusetts.ORCID 0009-0007-0024-4098
Pascal BelleauCold Spring Harbor Laboratory , Cold Spring Harbor, New York.ORCID 0000-0002-0802-1071
Ariel KredentserCold Spring Harbor Laboratory , Cold Spring Harbor, New York.ORCID 0009-0009-0725-0305
Arisa KapedaniDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Northwell Health, Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, New York.ORCID 0000-0002-2395-9156
Alexander KrasnitzCold Spring Harbor Laboratory , Cold Spring Harbor, New York.ORCID 0000-0002-9465-0308
Ken SimonRevitope Oncology, Concord, Massachusetts.ORCID 0000-0002-4162-0017
Werner MeierRevitope Oncology, Concord, Massachusetts.ORCID 0000-0003-2508-5410
Marina FrimerDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Northwell Health, Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, New York.ORCID 0000-0003-4968-1495
Gary L GoldbergDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Northwell Health, Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, New York.ORCID 0009-0002-3121-8742
Semir BeyazCold Spring Harbor Laboratory , Cold Spring Harbor, New York.ORCID 0000-0003-4730-4012

Funding

Computational tools for accurate inference of genetic ancestry from cancer-derived molecular dataU01CA289357 · NCI · COLD SPRING HARBOR LABORATORY · PI ALEXANDER KRASNITZ · 2024 to 2026
$1.5M
Metabolic reprogramming to boost the fitness of anti-tumor immunity against metastatic colon cancerR37CA292807 · NCI · COLD SPRING HARBOR LABORATORY · PI Semir Beyaz · 2025 to 2026
$1.3M
Cold Spring Harbor Laboratory (CSHL)Mark Foundation For Cancer Research (Mark Foundation) 20-028-EDVNational Cancer Institute (NCI) 5P30CA045508National Cancer Institute (NCI) R37CA292807NCI NIH HHS R37 CA292807NCI NIH HHS U01 CA289357New York Genome Center (NYGC)
6 · The paper itself

Abstract

High-grade endometrial cancers (HGEC) disproportionately affect women of African ancestry and often resist currently available immunotherapies. Defining the mechanisms driving this resistance is impeded by a lack of preclinical models that preserve ancestral diversity and patient-matched tumor-immune interactions without confounding alloreactivity. To address this gap, we established a biobank of 85 endometrial cancer patient-derived organoids (PDO) from a diverse cohort, enriched for HGEC PDOs from African American patients, and paired these with autologous immune cells to develop a patient-specific PDO-immune cell coculture platform with real-time live-imaging readouts. Using this system, we found that HGECs evade immune surveillance through pronounced suppression of major histocompatibility complex (MHC) class I and II antigen presentation pathways relative to their matched normal counterparts. Restoring antigen presentation, either by IFNγ stimulation or epigenetic reprogramming via enhancer of zeste homolog 2 inhibition, rescued MHC expression and sensitized HGEC PDOs to autologous T cell-mediated cytotoxicity. Extending the platform to NK cells revealed heightened killing of low-MHC-I PDOs. Consistent with clinical observations, mismatch repair (MMR)-deficient HGEC PDOs exhibited stronger immune engagement than their MMR-proficient counterparts. Finally, this platform enabled evaluation of the safety and efficacy of emerging immunotherapies, including protease-activatable bispecific T-cell engagers and EGFR-targeted chimeric antigen receptor T cells. Together, this sustainable, scalable, ancestrally diverse autologous PDO-immune cell coculture platform offers a robust resource for dissecting immune evasion mechanisms and accelerating the development of new immunotherapies to address disparities in endometrial cancer outcomes. SIGNIFICANCE: The efficacy of immunotherapy for HGECs remains limited, partly because current preclinical models poorly capture tumor heterogeneity and patient-specific immune microenvironment. These cancers disproportionately affect women of African ancestry, yet most studies rely on European ancestry samples. We developed an autologous PDO and immune cell coculture platform from patients of diverse ancestries. This system enables patient-level analysis of tumor-immune interactions to support development and testing of novel immunotherapeutic strategies.

Indexed as

Endometrial NeoplasmsImmunotherapyOrganoidsAntigen PresentationBlack or African AmericanCoculture TechniquesFemaleHumansKiller Cells, NaturalMiddle AgedNeoplasm Grading

Identifiers

PMID41709679
PMCPMC13014124

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Registered trials

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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.