Evidence map›Paper›PMID 36802309›Full record

ArticleClinical and experimental medicine2023

Predictive significance of HIF-1α, Snail, and PD-L1 expression in breast cancer.

Evgenia Zubareva, Marina Senchukova, Tatyana Karmakova

Abstract read
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In one paragraph

Article in Clinical and experimental medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 17% 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, 6 citations in OpenAlex.

  1. Article
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  3. Review
  4. 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 3 institutions in 1 country.

Evgenia Zubareva *Mammological Center, Orenburg Regional Clinical Oncology Center, Orenburg, Orenburg Region, Russian Federation, 460021.ORCID http://orcid.org/0000-0001-7025-0206
Marina Senchukova *Department of Oncology, Orenburg State Medical University, Orenburg, Orenburg Region, Russian Federation, 460000. masenchukova@yandex.com.ORCID http://orcid.org/0000-0001-8371-740X
Tatyana Karmakova *Department of Predicting the Effectiveness of Conservative Therapy, P.A. Herzen Moscow Oncology Research Institute, Branch of the National Medical Research Radiological Center of the Ministry of Health of Russian Federation, Moscow, Moscow Region, Russian Federation, 125284.ORCID http://orcid.org/0000-0002-8017-5657
Ministry of Health of the Russian Federation · RUOrenburg Regional Clinical Oncology Center · RUOrenburg State University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, the prediction of breast cancer (BC) effectiveness to drug treatment is based on determining the expression level of steroid hormone receptors and human epidermal growth factor receptor type 2 (HER2). However, significant differences in individual response to drug treatment require the search for new predictive markers. Here, by comprehensively examining HIF-1α, Snail, and PD-L1 expression in BC tumor tissue, we demonstrate that high levels of these markers correlate with unfavorable factors of BC prognosis: the presence of regional and distant metastases and lymphovascular and perineural invasion. Analyzing the predictive significance of markers, we show that the most significant predictors of chemoresistant HER2-negative BC are a high PD-L1 level and a low Snail level, while in HER2-positive BC, only a high PD-L1 level is an independent predictor of chemoresistant BC. Our results suggest that using immune checkpoint inhibitors in these groups of patients may improve drug therapy effectiveness.

Indexed as

Breast NeoplasmsB7-H1 AntigenFemaleHumansPrognosisB7-H1 AntigenBreast cancerHIF-1αNeoadjuvant chemotherapyPD-L1Predictors of chemoresistanceSnail

Identifiers

PMID36802309
OpenAlexW4321435279

What Socratic holds

Textmetadata
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 Socratic graph.