Evidence map›Paper›PMID 39828752›Full record

ArticleScientific reports2025

Quantifying intratumoral biomarker heterogeneity in tubo-ovarian high-grade serous carcinoma to optimize clinical translation.

Aline Talhouk, Derek S Chiu, Liliane Meunier, Kurosh Rahimi, Cécile Le Page, Monique Bernard, Diane Provencher, David G Huntsman, Anne Marie Mes Masson, Martin Köbel

Abstract read
In one paragraph

Article in Scientific reports, 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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0citing papers in PubMed
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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

10 authors.

Aline TalhoukDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of British Columbia, Vancouver, BC, V5Z 1M9, Canada. a.talhouk@ubc.ca.
Derek S ChiuDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of British Columbia, Vancouver, BC, V5Z 1M9, Canada.
Liliane MeunierCentre de Recherche du Centre Hospitalier de l'Universite de Montreal (CRCHUM), Institut du cancer de Montreal, Montreal, QC, Canada.
Kurosh RahimiCentre de Recherche du Centre Hospitalier de l'Universite de Montreal (CRCHUM), Institut du cancer de Montreal, Montreal, QC, Canada.
Cécile Le PageCentre de Recherche de I'IUSMM, Montreal, QC, Canada.
Monique BernardCentre de Recherche du Centre Hospitalier de l'Universite de Montreal (CRCHUM), Institut du cancer de Montreal, Montreal, QC, Canada.
Diane ProvencherCentre de Recherche du Centre Hospitalier de l'Universite de Montreal (CRCHUM), Institut du cancer de Montreal, Montreal, QC, Canada.
David G HuntsmanDepartment of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.
Anne Marie Mes MassonCentre de Recherche du Centre Hospitalier de l'Universite de Montreal (CRCHUM), Institut du cancer de Montreal, Montreal, QC, Canada.
Martin KöbelDepartment of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, T2N 2T9, Canada. mkoebel@ucalgary.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intratumoral heterogeneity (ITH) is spatial, phenotypic, or molecular differences within the same tumor that have important implications for accurate tumor classification and assessment of predictive biomarkers. The Canadian Ovarian Experimental Unified Resource (COEUR) has created a cohort of 437 FFPE tissue specimens from 108 tubo-ovarian high-grade serous carcinoma (HGSC) patients to quantify ITH across the anatomical sites and between primary and recurrence. We quantified the ITH of six clinically used immunohistochemical diagnostic and prognostic biomarkers (WT1, p53, p16, PR, CD8, and Ki67). Markers were stained on tissue microarrays and scored using a continuous or categorical interpretation of staining patterns. Two-way random effect and nested intraclass correlation were used to assess continuous markers, and Gwet's AC1 was used for categorical markers. All biomarkers showed at least substantial agreement over several spatial comparisons, with WT1, p53 and p16 showing almost perfect agreement for most spatial comparisons. Similarly, categorical WT1, p53 and p16 showed almost perfect agreement for temporal comparisons, while the agreement for primary versus recurrence for PR, CD8 and Ki67 was only fair. We provide power calculations to achieve reliability of > 0.60 and recommend testing emerging protein biomarkers to see whether they reach a clinically acceptable benchmark level of ITH.

Indexed as

Biomarkers, TumorCystadenocarcinoma, SerousOvarian NeoplasmsAgedCyclin-Dependent Kinase Inhibitor p16FemaleHumansImmunohistochemistryMiddle AgedNeoplasm GradingNeoplasm Recurrence, LocalPrognosisTumor Suppressor Protein p53Biomarkers, TumorCyclin-Dependent Kinase Inhibitor p16Tumor Suppressor Protein p53CD8High-grade serousIntratumoral heterogeneityOvarian cancerTP53WT1

Identifiers

PMID39828752
PMCPMC11743601

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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.