Evidence map›Paper›PMID 35763108›Full record

ArticleJournal of cancer research and clinical oncology2023

Prognostic value of regulatory T cells and T helper 17 cells in high grade serous ovarian carcinoma.

Sofya Marchenko, Iris Piwonski, Inga Hoffmann, Bruno Valentin Sinn, Catarina Alisa Kunze, Nanna Monjé, Jonathan Pohl, Hagen Kulbe, Wolfgang Daniel Schmitt, Sylvia Darb-Esfahani and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
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

10 citing papers in PubMed, 13 citations in OpenAlex.

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  7. A Transcriptomic Analysis of Laryngeal Dysplasia.International journal of molecular sciences · 2024
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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

17 authors at 5 institutions in 1 country.

Sofya MarchenkoInstitute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Berlin, Germany.
Iris PiwonskiInstitute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Berlin, Germany.
Inga HoffmannInstitute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Berlin, Germany.
Bruno Valentin SinnInstitute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Berlin, Germany.
Catarina Alisa KunzeInstitute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Berlin, Germany.
Nanna MonjéInstitute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Berlin, Germany.
Jonathan PohlInstitute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Berlin, Germany.
Hagen KulbeTumorbank Ovarian Cancer Network, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin, Germany.
Wolfgang Daniel SchmittInstitute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Berlin, Germany.
Sylvia Darb-EsfahaniInstitute of Pathology Berlin-Spandau, Berlin-Buch, Berlin, Germany.
Elena Ioana BraicuTumorbank Ovarian Cancer Network, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin, Germany.
Ann-Christin von BrünneckInstitute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Berlin, Germany.
Jalid SehouliTumorbank Ovarian Cancer Network, Berlin Institute of Health, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin, Germany.
Carsten DenkertInstitute of Pathology, Philipps-University Marburg, Marburg, Germany.
David HorstInstitute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Berlin, Germany.
Korinna JöhrensInstitute of Pathology, Universitätsklinikum Carl Gustav Carus, TU Dresden, Dresden, Germany.
Eliane Tabea TaubeInstitute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Berlin, Germany. eliane.taube@charite.de.
Humboldt-Universität zu Berlin · DECharité - Universitätsmedizin Berlin · DEFreie Universität Berlin · DEPhilipps University of Marburg · DEUniversity Hospital Carl Gustav Carus · DE

Funding

Bundesministerium für Bildung und Forschung JTC 2014-121 (FK 01KT1607)
6 · The paper itself

Abstract

purposeIn recent years the tumor microenvironment and its interaction with the tumor has emerged into research focus with increased attention to the composition of Tumor-infiltrating lymphocytes. We wanted to quantify the composition of Regulatory T cells (Tregs) and T helper 17 cells (Th17 cells) and their prognostic impact in high-grade serous tubo-ovarian carcinoma.

methodsTregs and Th17 cells were determined by immunohistochemical analysis of CD25 FoxP3 and RORγt, respectively on tissue microarrays of a cohort of 222 patients with reviewed histology and available clinical data. Expression was analyzed with Qupath for quantification and integration with clinical data enabled calculation of prognostic impact. For validation FOXP3 and RORC mRNA expression levels from 502 patients with HGSC in publicly available datasets were evaluated.

resultsAn average percentage of 0.93 Tregs and of 0.06 Th17 cells was detected per cells in overall tissue. Optimal cut-offs were determined and higher Tregs were associated with a better overall survival in stroma (p = 0.006), tumor area (p = 0.0012) and overall tissue (p = 0.02). After accounting for well-known prognostic factors age at diagnosis, residual tumor and FIGO stage, this association remained significant for stromal Tregs with overall survival (p = 0.02). Survival analysis for Th17 cells revealed no significant association with survival rates. Moreover, lower Th17/Treg ratios had a positive impact on patient overall survival (p = 0.025 tumor, p = 0.049 stroma and p = 0.016 overall tissue).

conclusionOur results outline a positive prognostic effect for higher Tregs but not for Th17 in high grade serous tubo-ovarian carcinoma.

Indexed as

Ovarian NeoplasmsT-Lymphocytes, RegulatoryFemaleForkhead Transcription FactorsHumansLymphocytes, Tumor-InfiltratingPrognosisTh17 CellsTumor MicroenvironmentForkhead Transcription FactorsDigital pathologyHigh grade ovarian carcinomaPrognosisRegulatory T-cellsTumor-infiltrating lymphocytesTumor microenvironment

Identifiers

PMID35763108
PMCPMC10129928
OpenAlexW4283659273

What OpenQuestion holds

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LicenceCC BY
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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.