Evidence map›Paper›PMID 31015393›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2019

The Effect of the Leptin and Leptin Receptor Expression on the Efficacy of Neoadjuvant Chemotherapy in Breast Cancer.

Yan Kong, Qian Dong, Hong Ji, Meixiang Sang, Yan Ding, Meng Zhao, Huichai Yang, Cuizhi Geng

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 46% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Leptin increases chemosensitivity by inhibitingJournal of gastrointestinal oncology · 2024
    Article
  3. Article
  4. 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

8 authors at 2 institutions in 1 country.

Yan KongDepartment of Oncology, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Qian DongDepartment of Oncology, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Hong JiDepartment of Gland Surgery, Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Meixiang SangResearch Center, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Yan DingDepartment of Pathology, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Meng ZhaoDepartment of Pathology, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Huichai YangDepartment of Pathology, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Cuizhi GengBreast Medical Center, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Hebei Medical University · CNFourth Hospital of Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The purpose of the present study was to evaluate the effect of leptin and leptin receptor (LEPR) expression on the efficacy of neoadjuvant chemotherapy in breast cancer. MATERIAL AND METHODS There were 325 breast cancer patients with complete data enrolled in this study. Patients were categorized into 3 groups: pathological complete response group, non-pathological complete response group, and progressive disease group. Immunohistochemistry was performed to determine leptin and its receptor LEPR expression levels that were compared among the 3 groups. RESULTS Compared with the non-pathological complete response group, patients in the pathological complete response group had increased leptin and LEPR expression, although the difference was not statistically significant (P=0.194, P=0.110). In addition, the expression of leptin and LEPR in the pathological complete response group was also higher than that in the progressive disease group, and the difference of LEPR expression was statistically significant (P=0.008) while the leptin expression was not (P=0.065). There were more HER2+ breast cancer patients in the pathological complete response group categorized into strong positive, and positive expression of leptin and LEPR compared with the progressive disease group (P<0.05). There were significant differences of leptin and LEPR expression among breast cancer patients under different molecular subtypes HER2+, HR+, and triple negative, in which the triple negative patients had the highest expression of leptin and LEPR. In addition, patients in the progressive disease group had high and low expression of leptin and LEPR: 13.25% versus 11.32% and 13.1% versus 10.42% respectively. CONCLUSIONS Overexpression of leptin and LEPR improved the therapeutic efficacy of neoadjuvant chemotherapy for patients with breast cancer, especially for those with HER2+ subtype. Overexpression of leptin and LEPR was distinct among the different molecular subtypes of breast cancer, suggesting a certain predictive value for breast cancer prognosis.

Indexed as

AdultAgedAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsChemotherapy, AdjuvantErb-b2 Receptor Tyrosine KinasesFemaleHumansImmunohistochemistryLeptinMiddle AgedNeoadjuvant TherapyPrognosisReceptors, LeptinTriple Negative Breast NeoplasmsERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesLEP protein, humanLEPR protein, humanLeptinReceptors, Leptin

Identifiers

PMID31015393
PMCPMC6496971
OpenAlexW2942397652

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.