Evidence map›Paper›PMID 33013420›Full record

ArticleFrontiers in pharmacology2020

Screening and Identification of Key Biomarkers in Acquired Lapatinib-Resistant Breast Cancer.

Shengnan Bao, Yi Chen, Fan Yang, Chunxiao Sun, Mengzhu Yang, Wei Li, Xiang Huang, Jun Li, Hao Wu, Yongmei Yin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Activation of Glycolysis by MCM10 Increases Stemness and Paclitaxel Resistance in Gastric Cancer Cells.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2023
    Article
  5. Article
  6. 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

10 authors at 2 institutions in 1 country.

Shengnan BaoDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yi ChenDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Fan YangDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Chunxiao SunDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Mengzhu YangDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Wei LiDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiang HuangDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jun LiDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hao WuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yongmei YinDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiangsu Province Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lapatinib, targeting the human epidermal growth factor receptor family members HER1 and HER2, has been approved by the US Food and Drug Administration for use in metastatic HER2-positive breast cancer. However, resistance to lapatinib remains a common challenge to HER2-positive metastatic breast cancer. Until now, the molecular mechanisms of acquired resistance to lapatinib (ALR) have remained unclear. With no definite biomarkers currently known, we aimed to screen for key biomarkers in ALR. In this research, we identified 55 differentially expressed genes (DEGs, 20 upregulated, 35 downregulated) through bioinformatic analysis using microarray datasets GSE16179, GSE38376, and GSE51889 from the Gene Expression Omnibus (GEO) database. The related gene function was explored using the Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. The protein-protein interaction (PPI) network was constructed with the Search Tool for the Retrieval of Interacting Genes (STRING) and Cytoscape. The functional enrichment of the DEGs was analyzed, including negative regulation of the B cell apoptotic process, DNA replication, solute:proton symporter activity, synthesis, and degradation of ketone bodies, and metal sequestration by antimicrobial proteins. Analysis of seven hub genes revealed their concentration mainly in DNA replication and cell cycle. Survival analysis revealed that

Indexed as

acquired lapatinib resistancebiological markersHER2-positive breast cancerhub genesprognostic analysis

Identifiers

PMID33013420
PMCPMC7500445
OpenAlexW3083497780

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.