Evidence map›Paper›PMID 38567311›Full record

ArticleFrontiers in endocrinology2024

Comparison of neoadjuvant chemotherapy response and prognosis between HR-low/HER2-negative BC and TNBC: an exploratory real-world multicentre cohort study.

Jing Peng, Yue Hong, Qitong Chen, Feng Xu, Danhua Zhang, Jia Yao, Qiongyan Zou, Liqin Yuan, Lun Li, Qian Long and 5 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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

15 authors at 5 institutions in 1 country.

Jing Peng *Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Yue Hong *Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Qitong ChenDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Feng XuDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Danhua ZhangDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Jia YaoDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Qiongyan ZouDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Liqin YuanDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Lun LiDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Qian LongDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Liqiu LiaoDepartment of Breast Surgery, Xiangya Hospital, Central South University, Changsha, China.
Mingwen LiuDepartment of Breast Surgery, the First People's Hospital of Xiangtan City, Xiangtan, Hunan, China.
Xuan LiuDepartment of Breast Surgery, the First People's Hospital of Xiangtan City, Xiangtan, Hunan, China.
Shouman WangDepartment of Breast Surgery, Xiangya Hospital, Central South University, Changsha, China.
Wenjun YiDepartment of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Second Xiangya Hospital of Central South University · CNHunan Provincial Center for Disease Control and Prevention · CNCentral South University · CNXiang Yang No.1 People's Hospital · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Hormone receptor (HR)-low/HER2-negative breast cancers (BCs) are more likely to be basal-like BCs, with similar molecular features and gene expression profiles to HR-negative (estrogen receptor <1% or negative and progesterone receptor <1% or negative) BCs. Recently, with the clinical application of adjuvant intensive therapy for triple-negative breast cancer (TNBC), the prognosis of TNBC patients without pathological complete response (pCR) has significantly improved. Therefore, it is necessary to reanalyse the prognostic characteristics of clinically high-risk HR-low/HER2-negative BC. Methods: According to the inclusion and exclusion standards, 288 patients with HR-low/HER2-negative BC and TNBC who received NAC and were followed up between 2015 and 2022 at three breast centres in Hunan Province, China, were enrolled. Inverse probability of treatment weighting (IPTW) was utilized to mitigate imbalances in baseline characteristics between the HR-low/HER2-negative BC group and TNBC group regarding event-free survival (EFS) and overall survival (OS). The primary clinical endpoints were pCR and EFS, while the secondary endpoints included OS, objective response rate (ORR), and clinical benefit rate (CBR). Results: The pCR rate (27.1% vs. 28.0%, Conclusions: In the real world, the therapeutic effects of NAC for HR-low/HER2-negative BCs and TNBCs were similar. EFS of patients with non-pCR in the HR-low/HER2-negative BC group was inferior to that of the TNBC group with non-pCR, suggesting that it is necessary to explore new adjuvant intensive therapy strategies for these patients.

Indexed as

Triple Negative Breast NeoplasmsChinaCohort StudiesHumansNeoadjuvant TherapyPrognosisbreast cancerestrogen receptorHR-low/HER2-negative breast cancerneoadjuvant chemotherapyprogesterone receptortriple-negative breast cancer

Identifiers

PMID38567311
PMCPMC10985142
OpenAlexW4392967051

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.