Evidence map›Paper›PMID 24864239›Full record

ArticleBioMed research international2014

Tissue biomarkers in prognostication of serous ovarian cancer following neoadjuvant chemotherapy.

Binny Khandakar, Sandeep R Mathur, Lalit Kumar, Sunesh Kumar, Siddhartha Datta Gupta, Venkateswaran K Iyer, M Kalaivani

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  7. Article
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  9. Article
  10. TP53 mutations in epithelial ovarian cancer.Translational cancer research · 2016
    Article
  11. Review
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

7 authors at 2 institutions in 1 country.

Binny KhandakarDepartment of Pathology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India.
Sandeep R MathurDepartment of Pathology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India.
Lalit KumarDepartment of Medical Oncology, Dr. B.R. Ambedkar Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India.
Sunesh KumarDepartment of Gynecology and Obstetrics, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India.
Siddhartha Datta GuptaDepartment of Pathology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India.
Venkateswaran K IyerDepartment of Pathology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India.
M KalaivaniDepartment of Biostatistics, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India.
All India Institute of Medical Sciences · INDR. B.R.A. Institute Rotary Cancer Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serous ovarian cancer (SOC) is a significant cause of morbidity and mortality in females with poor prognosis because of advanced stage at presentation. Recently, neoadjuvant chemotherapy (NACT) is being used for management of advanced SOC, but role of tissue biomarkers in prognostication following NACT is not well established. The study was conducted on advanced stage SOC patients (n = 100) that were treated either conventionally (n = 50) or with NACT (n = 50), followed by surgery. In order to evaluate the expression of tissue biomarkers (p53, MIB1, estrogen and progesterone receptors, Her-2/neu, E-cadherin, and Bcl2), immunohistochemistry and semiquantitative scoring were done following morphological examination. Following NACT, significant differences in tumor histomorphology were observed as compared to the native neoplasms. MIB 1 was significantly lower in cases treated with NACT and survival outcome was significantly better in cases with low MIB 1. ER expression was associated with poor overall survival. No other marker displayed any significant difference in expression or correlation with survival between the two groups. Immunophenotype of SOC does not differ significantly in samples from cases treated with NACT, compared to upfront surgically treated cases. The proliferating capacity of the residual tumor cells is less, depicted by low mean MIB1 LI. MIB 1 and ER inversely correlate with survival.

Indexed as

Biomarkers, TumorCell ShapeFemaleHumansImmunohistochemistryKaplan-Meier EstimateMiddle AgedNeoadjuvant TherapyNeoplasm ProteinsNeoplasms, Cystic, Mucinous, and SerousOvarian NeoplasmsPrognosisBiomarkers, TumorNeoplasm Proteins

Identifiers

PMID24864239
PMCPMC4016870
OpenAlexW1964232246

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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.