Evidence map›Paper›PMID 31814759›Full record

ArticleCancer management and research2019

Digital Immune-Related Gene Expression Signatures In High-Grade Serous Ovarian Carcinoma: Developing Prediction Models For Platinum Response.

Fabian Mairinger, Agnes Bankfalvi, Kurt Werner Schmid, Elena Mairinger, Pawel Mach, Robert Fh Walter, Sabrina Borchert, Sabine Kasimir-Bauer, Rainer Kimmig, Paul Buderath

Abstract read
In one paragraph

Article in Cancer management and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Fabian MairingerInstitute for Pathology, University Hospital Essen, Essen, Germany.ORCID 0000-0003-1067-0051
Agnes BankfalviInstitute for Pathology, University Hospital Essen, Essen, Germany.
Kurt Werner SchmidInstitute for Pathology, University Hospital Essen, Essen, Germany.ORCID 0000-0002-0241-0420
Elena MairingerRuhrlandklinik, West German Lung Centre, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0002-8523-1849
Pawel MachDepartment of Gynecology and Obstetrics, University Hospital Essen, Essen, Germany.
Robert Fh WalterRuhrlandklinik, West German Lung Centre, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0003-3725-7064
Sabrina BorchertInstitute for Pathology, University Hospital Essen, Essen, Germany.ORCID 0000-0002-0447-3206
Sabine Kasimir-BauerDepartment of Gynecology and Obstetrics, University Hospital Essen, Essen, Germany.
Rainer KimmigDepartment of Gynecology and Obstetrics, University Hospital Essen, Essen, Germany.
Paul BuderathDepartment of Gynecology and Obstetrics, University Hospital Essen, Essen, Germany.ORCID 0000-0003-0941-5635

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeResponse to platinum-based therapy is a major prognostic factor in high-grade serous ovarian cancer (HGSOC). While the exact mechanisms of platinum-resistance remain unclear, evidence is accumulating for a connection between the organism's immune-response and response to platinum. However, predictive tools are missing. This study was performed to examine the putative role of the genetic tumor immune-microenvironment in mediating differential chemotherapy response in HGSOC patients. PATIENTS AND

methodsExpression profiling of 770 immune-related genes was performed in tumor tissues from 23 HGSOC cases. Tumors were screened for prognostic and predictive biomarkers using the NanoString nCounter platform for digital gene expression analysis with the appurtenant PanCancer Immune Profiling panel. As validation cohort, gene expression data (RNA Seq) of 303 patients with epithelial ovarian carcinoma (EOC) were retrieved from the

resultsValidated on the TCGA-dataset, the developed scores identified 11 significantly differentially expressed genes (p <0.01**) associated with platinum response. HSD11B1 was highly significantly associated with lower risk of recurrence and 7 targets were found highly significantly influencing OS time (p <0.01**).

conclusionOur results suggest that response to platinum-based therapy and DFS in ovarian HGSOC is associated with distinct gene-expression patterns related to the tumor immune-system. We generated predictive scoring systems which proved valid when applied to a set of 303 EOC patients.

Indexed as

gene expression signaturesHGSOCovarian cancerplatinum-resistancepredictive biomarkerstumor microenvironment

Identifiers

PMID31814759
PMCPMC6858803

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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.