Evidence map›Paper›PMID 35049700›Full record

ArticleCurrent oncology (Toronto, Ont.)2022

Immune Effective Score as a Predictor of Response to Neoadjuvant Trastuzumab Therapy and a Prognostic Indicator for HER2-Positive Breast Cancer.

Xueying Wu, Chenyang Zhang, Henghui Zhang

Open access · goldAbstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2022. 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
0.2field-weighted citation impact, top 48% 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. Review
  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

3 authors at 2 institutions in 1 country.

Xueying WuInstitute of Molecular Medicine, Peking University, Beijing 100871, China.
Chenyang ZhangInstitute of Molecular Medicine, Peking University, Beijing 100871, China.
Henghui ZhangBiomedical Innovation Center, Beijing Shijitan Hospital, School of Oncology, Capital Medical University, Beijing 100038, China.ORCID 0000-0002-2820-7447
Peking University · CNCapital Medical University · CN

Funding

the National Key Sci-Tech Special Project of China 2018ZX10302207the National Natural Science Foundation of China 81774234
6 · The paper itself

Abstract

backgroundHER2-positive breast cancer (BC) is a highly aggressive phenotype. The role of the host immune features in predictive response to anti-HER2 therapies and prognosis in BC has already been suggested. We aimed to develop a predictive and prognostic model and examine its relevance to the clinical outcomes of patients with HER2-positive BC.

methodsImmune effective score (IES) was constructed using principal component analysis algorithms. A bioinformatic analysis using four independent cohorts (GSE66305,

resultsGenes associated with neoadjuvant trastuzumab therapy response were enriched in pathways related to antitumor immune activities. IES was demonstrated to be a predictive biomarker to neoadjuvant trastuzumab therapy benefits (GSE66305: area under the curve (AUC) = 0.804; GSE130786: AUC = 0.704). In addition, IES was identified as an independent prognostic factor for overall survival (OS) in the TCGA cohort (

conclusionIES has a predictive value for response to neoadjuvant trastuzumab therapy and independent prognostic value for HER2-positive breast cancer.

Indexed as

Breast NeoplasmsNeoadjuvant TherapyAntineoplastic Combined Chemotherapy ProtocolsErb-b2 Receptor Tyrosine KinasesFemaleHumansPrognosisTrastuzumabErb-b2 Receptor Tyrosine KinasesTrastuzumabHER2-positive breast cancerneoadjuvantpathological complete responseprognosistrastuzumab

Identifiers

PMID35049700
PMCPMC8775173
OpenAlexW4220980555

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.