Evidence map›Paper›PMID 41723536›Full record

ArticleJournal of translational medicine2026

Distinct immune microenvironments in ovarian cancer subtypes indicate potential for immunotherapies.

Asger Meldgaard Frank, Elias Carlsson, Huaqiang Ouyang, Lina Olsson, Constantina Claudia Mateoiu, Sara Ek, Karin Sundfeldt, Anna Gerdtsson

Abstract read
In one paragraph

Article in Journal of translational medicine, 2026. 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

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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
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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.

Asger Meldgaard FrankDepartment of Immunotechnology, Lund University, Medicon Village 406, Scheelevägen 8, Lund, 223 87, Sweden.
Elias CarlssonDepartment of Immunotechnology, Lund University, Medicon Village 406, Scheelevägen 8, Lund, 223 87, Sweden.
Huaqiang OuyangDepartment of Integrative Oncology, Tianjin Medical University Cancer Institute and Hospital, West Huan-Hu Rd, Ti Yuan Bei, Hexi District, Tianjin, 300060, P. R. China.
Lina OlssonDepartment of Immunotechnology, Lund University, Medicon Village 406, Scheelevägen 8, Lund, 223 87, Sweden.
Constantina Claudia MateoiuDepartment of Pathology and Cytology, Sahlgrenska Academy at University of Gothenburg, Gula stråket 8 plan 0, Göteborg, 41345, Sweden.
Sara EkDepartment of Immunotechnology, Lund University, Medicon Village 406, Scheelevägen 8, Lund, 223 87, Sweden.
Karin SundfeldtDepartment of Obstetrics and Gynecology, Sahlgrenska Academy at University of Gothenburg, Sahlgrenska Hospital, Blå stråket 6 plan 2, Kvinnokliniken, Göteborg, 41345, Sweden.
Anna GerdtssonDepartment of Immunotechnology, Lund University, Medicon Village 406, Scheelevägen 8, Lund, 223 87, Sweden. anna.sandstrom_gerdtsson@immun.lth.se.ORCID 0000-0003-1932-0365

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo enable immunotherapy for ovarian cancers, precision targets for immune priming as well as patient stratification approaches are required. The tumor microenvironment in particularly the rare subtypes of low-grade serous, mucinous, clear cell and endometrioid ovarian cancer, remains poorly characterized, and these tumors have been largely ignored in the immuno-oncology setting.

methodsWe performed spatially resolved molecular profiling of 78 tumor and immune protein markers in defined tissue regions from 254 ovarian cancer patients of mixed histologies, using GeoMx. Network graph analysis was applied to compute spatial statistics from multiplex immunofluorescence images. GeoMx-compatible softwares were developed for data processing and analysis, based on linear mixed effect modelling, survival analysis and machine learning.

resultsImmune-regulatory targets associated with specific subtypes included STING in low-grade serous; CTLA-4 and PD-L1 in mucinous; CD40, IDO1 and VISTA in clear cell; and B7-H3 in endometrioid ovarian carcinomas. In high-grade serous ovarian carcinomas, intra-tumoral expression of SMA and PD-L1 emerged as strong prognostic indicators. Proximity of CD8 + T-cells to tumor cells as measured by group degree centrality was a marker of improved prognosis and of infiltration of all T cell subtypes, dendritic cells, and tumor-associated macrophages, along with elevated expression of PD-L1, IDO1, Tim-3, and CD40. In contrast, tumors with low CD8-tumor proximity were enriched in CD20 and CD25.

conclusionsOur findings highlight the potential for differential targeted treatment related to histotyping, tumor-immune spatial scoring and intra-tumoral expression of key prognostic markers.

Indexed as

ImmunotherapyOvarian NeoplasmsTumor MicroenvironmentBiomarkers, TumorFemaleHumansBiomarkers, TumorDigital spatial profilingImmune-oncologyOvarian cancerSpatial biologyTumor microenvironment

Identifiers

PMID41723536
PMCPMC12973683

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