Evidence map›Paper›PMID 30857227›Full record

ArticleJournal of clinical medicine2019

Clinical Stratification of High-Grade Ovarian Serous Carcinoma Using a Panel of Six Biomarkers.

Swapnil C Kamble, Arijit Sen, Rahul D Dhake, Aparna N Joshi, Divya Midha, Sharmila A Bapat

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Harnessing mMolecular medicine (Cambridge, Mass.) · 2025
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  4. Pattern recognition in the landscape of seemingly random chimeric transcripts.Computational and structural biotechnology journal · 2023
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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

6 authors at 5 institutions in 1 country.

Swapnil C KambleNational Centre for Cell Science, Savitribai Phule Pune University, Ganeshkhind, Pune 411007, India. sckamble@unipune.ac.in.ORCID 0000-0002-7501-2044
Arijit SenDepartment of Pathology, Armed Forces Medical College, Pune 411040, India. aseniaf@gmail.com.
Rahul D DhakeDepartment of Histopathology, Inlaks and Budrani Hospital, Morbai Naraindas Cancer Institute, Koregaon Park, Pune 411001, India. drrahuldhake@gmail.com.
Aparna N JoshiDepartment of Pathology, KEM Hospital, Pune 411011, India. draparnajoshi@gmail.com.
Divya MidhaDepartment of Oncopathology, Tata Medical Centre, Kolkata 700 156, India. divya.midha@tmckolkata.com.
Sharmila A BapatNational Centre for Cell Science, Savitribai Phule Pune University, Ganeshkhind, Pune 411007, India. sabapat@nccs.res.in.
National Centre for Cell Science · INArmed Forces Medical College · INCancer Institute (WIA) · INCollege of Medicine & JNM Hospital · INTata Medical Center · IN

Funding

Council of Scientific and Industrial Research FellowshipDepartment of Biotechnology , Ministry of Science and Technology BT/Indo-Aus/06/03/2011
6 · The paper itself

Abstract

Molecular stratification of high-grade serous ovarian carcinoma (HGSC) for targeted therapy is a pertinent approach in improving prognosis of this highly heterogeneous disease. Enabling the same necessitates identification of class-specific biomarkers and their robust detection in the clinic. We have earlier resolved three discrete molecular HGSC classes associated with distinct functional behavior based on their gene expression patterns, biological networks, and pathways. An important difference revealed was that Class 1 is likely to exhibit cooperative cell migration (CCM), Class 2 undergoes epithelial to mesenchymal transition (EMT), while Class 3 is possibly capable of both modes of migration. In the present study, we define clinical stratification of HGSC tumors through the establishment of standard operating procedures for immunohistochemistry and histochemistry based detection of a panel of biomarkers including TCF21, E-cadherin, PARP1, Slug, AnnexinA2, and hyaluronan. Further development and application of scoring guidelines based on expression of this panel in cell line-derived xenografts, commercial tissue microarrays, and patient tumors led to definitive stratification of samples. Biomarker expression was observed to vary significantly between primary and metastatic tumors suggesting class switching during disease progression. Another interesting feature in the study was of enhanced CCM-marker expression in tumors following disease progression and chemotherapy. These stratification principles and the new information thus generated is the first step towards class-specific personalized therapies in the disease.

Indexed as

biomarkersepithelial-to-mesenchymal transitionhigh-grade serous ovarian carcinomaimmunohistochemistrymolecular stratificationscoring system

Identifiers

PMID30857227
PMCPMC6463261
OpenAlexW2922203558

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.