Evidence map›Paper›PMID 26677343›Full record

ArticleBreast cancer (Dove Medical Press)2015

Correlation of clinicopathological outcomes with changes in IHC4 status after NACT in locally advanced breast cancers: do pre-NACT ER/PR status act as better prognosticators?

Sanjoy Chatterjee, Animesh Saha, Indu Arun, Sonali Susmita Nayak, Subir Sinha, Sanjit Agrawal, Mayur Parihar, Rosina Ahmed

Open access · goldAbstract read
In one paragraph

Article in Breast cancer (Dove Medical Press), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors at 3 institutions in 3 countries.

Sanjoy ChatterjeeDepartment of Radiation Oncology, Tata Medical Center, Kolkata, West Bengal, India.
Animesh SahaDepartment of Radiation Oncology, Tata Medical Center, Kolkata, West Bengal, India.
Indu ArunDepartment of Pathology, Tata Medical Center, Kolkata, West Bengal, India.
Sonali Susmita NayakDepartment of Pathology, Tata Medical Center, Kolkata, West Bengal, India.
Subir SinhaDepartment of Medical Statistics, Tata Medical Center, Kolkata, West Bengal, India.
Sanjit AgrawalDepartment of Breast Surgery, Tata Medical Center, Kolkata, West Bengal, India.
Mayur PariharDepartment of Molecular Pathology, Tata Medical Center, Kolkata, West Bengal, India.
Rosina AhmedDepartment of Breast Surgery, Tata Medical Center, Kolkata, West Bengal, India.
Tata Medical Center · INBreast Center · CHStatistical Service · CY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFollowing neoadjuvant chemotherapy (NACT) for breast cancer, changes in estrogen receptor (ER), progesterone receptor (PR), HER2 status, and Ki-67 index (IHC4 status) and its correlation with pathological complete response (pCR) or relapse-free survival (RFS) rates could lead to better understanding of tumor management. PATIENTS AND

methodsPre- and post-NACT IHC4 status and its changes were analyzed in 156 patients with breast cancer. Associations between pCR, RFS rates to IHC4 status pre- and post-NACT were investigated.

resultspCR was found in 25.3% patients. Both ER and PR positive tumors had the lowest (14.3%) pCR compared to ER and PR negative (29%) or either ER-/PR-positive (38.6%) tumors. PR positivity was significantly associated with less likelihood of pCR (15% versus 34%). The pCR rate was low for luminal A subtype (13.68%) compared to 24.36%, 26.31%, and 33.33% for luminal B, HER2-enriched, and triple-negative subtypes, respectively. There was significant reduction in ER expression and Ki-67 index post-NACT. RFS of patients in whom the hormonal status changed from positive to negative was better compared to those of patients in whom the hormonal status changed from negative to positive.

conclusionAlthough changes in IHC4 occurred post-NACT, pre-NACT hazard ratio status prognosticated RFS better. pCR and RFS rates were lower in PR-positive tumors.

Indexed as

IHC4 status changesneoadjuvant chemotherapysurvival

Identifiers

PMID26677343
PMCPMC4677657
OpenAlexW2192021821

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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.