Evidence map›Paper›PMID 38472557›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2024

A signature of circulating miRNAs predicts the prognosis and therapeutic outcome of taxane/platinum regimen in advanced ovarian carcinoma patients.

Ranita Pal, Trisha Choudhury, Madhurima Ghosh, Manisha Vernakar, Partha Nath, Vilas Deorao Nasare

Abstract read
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In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Clinicopathological insights and prognostic implications of DEK in association with apoptosis-regulating factors in ovarian cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  6. Observational
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 2 institutions in 1 country.

Ranita PalDepartment of Pathology and Cancer Screening, Chittaranjan National Cancer Institute, 37, S.P. Mukherjee Road, Kolkata, 700026, India.
Trisha ChoudhuryDepartment of Pathology and Cancer Screening, Chittaranjan National Cancer Institute, 37, S.P. Mukherjee Road, Kolkata, 700026, India.
Madhurima GhoshDepartment of Pathology and Cancer Screening, Chittaranjan National Cancer Institute, 37, S.P. Mukherjee Road, Kolkata, 700026, India.
Manisha VernakarDepartment of Gynaecological Oncology, Chittaranjan National Cancer Institute, 37, S.P. Mukherjee Road, Kolkata, 700026, India.
Partha NathDepartment of Medical Oncology, Chittaranjan National Cancer Institute, 37, S.P. Mukherjee Road, Kolkata, 700026, India.
Vilas Deorao NasareDepartment of Pathology and Cancer Screening, Chittaranjan National Cancer Institute, 37, S.P. Mukherjee Road, Kolkata, 700026, India. vilas.dr@gmail.com.ORCID http://orcid.org/0000-0002-0016-9610
Chittaranjan National Cancer Institute · INUniversity of Calcutta · IN

Funding

Department of Science and Technology, Ministry of Science and Technology, India No.SR/WOS-A/LS-242/2018
6 · The paper itself

Abstract

purposeOvarian carcinoma (OC) is ranked as the eighth most lethal gynecological cancer due to late diagnosis and high recurrence. Existing biomarkers are lacking to predict the recurrence and stratify patients who are likely to benefit from chemotherapy. MicroRNAs (miRNAs/miRs) are persistently present in humans and are capable of predicting treatment outcomes. Thus, the purpose of the study was to assess the potential of circulatory miRNAs to predict the efficacy of OC.

methodsNewly diagnosed n = 208 OC patients were administrated neoadjuvant/adjuvant chemotherapy (taxane + platinum) after surgery. Their demographic, gynecologic, clinical parameters, response, and survival were recorded. MiR-27a, miR-182, miR-199a, miR-214, and miR-591 were taken and the expression were analyzed using real-time PCR at different treatment intervals. Further, its prognostic value (Kaplan-Meier, and Cox regression analysis) and diagnostic importance (receiver operating characteristic curve) were validated.

resultThe mean age of patients with poorly differentiated (45.2%) serous OC was 48.69 ± 10.38. The majority experienced menarche at ≥ 12 (62.2%) with poor menstrual hygiene (81.8%) and were post-menopausal (69.4%), some were associated with high risk of survival (HR =  > 1). MiRNA signature showed three over-expression and two under-expression (miR-27a, miR-182, and miR-214; miR-199a and miR-591) in advanced OC compared to the control (P=  < 0.05). Also, a significant difference was detected at each time interval of treatment with the response (P =  ≤ 0.001) associated with resistance and overall survival (P =  ≤ 0.001) with risk (HR =  > 1). ROC analysis showed enhanced the diagnostics accuracy (< 0.001).

conclusionOur findings indicate that circulating miRNAs might be a potential minimally invasive diagnostic marker for treatment outcome and recurrence in ovarian carcinoma.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorOvarian NeoplasmsAdultAgedChemotherapy, AdjuvantCirculating MicroRNAFemaleHumansKaplan-Meier EstimateMicroRNAsMiddle AgedNeoadjuvant TherapyPrognosisROC CurveSurvival RateBiomarkers, TumorCirculating MicroRNAMicroRNAsTaxoidsBiomarkerDiagnosticmicroRNAsOvarian carcinomaPrognosis

Identifiers

PMID38472557
OpenAlexW4392683034

What OpenQuestion holds

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Read underepoch 390

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.