Evidence map›Paper›PMID 33572888›Full record

ReviewDiagnostics (Basel, Switzerland)2021

Immunohistochemical Biomarkers as a Surrogate of Molecular Analysis in Ovarian Carcinomas: A Review of the Literature.

Giacomo Santandrea, Simonetta Piana, Riccardo Valli, Magda Zanelli, Elisa Gasparini, Antonio De Leo, Vincenzo Dario Mandato, Andrea Palicelli

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 6 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

28 citing papers in PubMed, 6 syntheses or guidelines 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

8 authors.

Giacomo SantandreaClinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, 41121 Modena, Italy.ORCID 0000-0001-5487-0683
Simonetta PianaPathology Unit, AUSL-IRCCS Reggio Emilia, 42123 Reggio Emilia, Italy.ORCID 0000-0003-4875-6977
Riccardo ValliPathology Unit, AUSL-IRCCS Reggio Emilia, 42123 Reggio Emilia, Italy.
Magda ZanelliPathology Unit, AUSL-IRCCS Reggio Emilia, 42123 Reggio Emilia, Italy.ORCID 0000-0002-8733-9933
Elisa GaspariniOncology Unit, AUSL-IRCCS Reggio Emilia, 42123 Reggio Emilia, Italy.
Antonio De LeoMolecular Diagnostic Unit, AUSL Bologna, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, 40138 Bologna, Italy.ORCID 0000-0002-3761-5135
Vincenzo Dario MandatoUnit of Obstetrics and Gynaecology, AUSL-IRCCS Reggio Emilia, 42123 Reggio Emilia, Italy.
Andrea PalicelliPathology Unit, AUSL-IRCCS Reggio Emilia, 42123 Reggio Emilia, Italy.ORCID 0000-0003-2299-5160

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The term "ovarian carcinoma" encompasses at least five different malignant neoplasms: high-grade serous carcinoma, low-grade serous carcinoma, endometrioid carcinoma, mucinous carcinoma, and clear cell carcinoma. These five histotypes demonstrated distinctive histological, molecular, and clinical features. The rise of novel target therapies and of a tailored oncological approach has demanded an integrated multidisciplinary approach in the setting of ovarian carcinoma. The need to implement a molecular-based classification in the worldwide diagnostic and therapeutic setting of ovarian cancer demanded a search for easy-to-use and cost-effective molecular-surrogate biomarkers, relying particularly on immunohistochemical analysis. The present review focuses on the role of immunohistochemistry as a surrogate of molecular analysis in the everyday diagnostic approach to ovarian carcinomas.

Indexed as

biomarkersimmunohistochemistrymolecular classificationovarian cancer

Identifiers

PMID33572888
PMCPMC7911119

What OpenQuestion holds

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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.