Evidence map›Paper›PMID 35739532›Full record

ArticleJournal of ovarian research2022

Identification of key genes and pathways related to cancer-associated fibroblasts in chemoresistance of ovarian cancer cells based on GEO and TCGA databases.

Li Han, Xiaojuan Guo, Ruijuan Du, Kelei Guo, Pei Qi, Hua Bian

Open access · goldAbstract read
In one paragraph

Article in Journal of ovarian research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Cancer pharmacoinformatics: Databases and analytical tools.Functional & integrative genomics · 2024
    Review
  7. Article
  8. 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

6 authors at 2 institutions in 1 country.

Li Han *Zhang Zhongjing School of Chinese Medicine, Nanyang Institute of Technology, Nanyang, 473004, PR China.
Xiaojuan Guo *Zhang Zhongjing School of Chinese Medicine, Nanyang Institute of Technology, Nanyang, 473004, PR China.
Ruijuan DuZhang Zhongjing School of Chinese Medicine, Nanyang Institute of Technology, Nanyang, 473004, PR China.
Kelei GuoZhang Zhongjing School of Chinese Medicine, Nanyang Institute of Technology, Nanyang, 473004, PR China.
Pei QiNanyang Traditional Chinese Medicine Hospital, Nanyang, 473007, PR China.
Hua BianZhang Zhongjing School of Chinese Medicine, Nanyang Institute of Technology, Nanyang, 473004, PR China. biancrown@163.com.
Nanyang Institute of Technology · CNAnyang Hospital of Traditional Chinese Medicine · CN

Funding

National Natural Science Foundation of China No. 82074076Natural Science Foundation of Henan Province No. 202300410022
6 · The paper itself

Abstract

backgroundStudies have revealed the implications of cancer-associated fibroblasts (CAFs) in tumor progression, metastasis, and treatment resistance. Here, in silico analyses were performed to reveal the key genes and pathways by which CAFs affected chemoresistance in ovarian cancer.

methodsCandidate genes were obtained from the intersected differentially expressed genes in ovarian cancer, ovarian cancer chemoresistance, and ovarian CAF-related microarrays and chemoresistance-related genes from GeneCards databases. Kyoto Encyclopedia of Genes and Genomes enrichment analysis and Gene Set Enrichment Analysis were employed to identify the pathways engaged in ovarian cancer chemoresistance and ovarian CAF-related pathways. The top genes with high Degree in the protein-protein interaction network were intersected with the top genes enriched in the key pathways, followed by correlation analyses between key genes and chemotherapeutic response. The expression profiles of key genes were obtained from Human Protein Atlas database and TCGA-ovarian cancer data.

resultsp53, cell cycle, PI3K-Akt, and MAPK pathways were the key pathways related to the implication of CAFs in ovarian cancer chemoresistance. 276 candidate genes differentially expressed in CAFs were associated with ovarian cancer chemoresistance. MYC, IGF1, HRAS, CCND1, AKT1, RAC1, KDR, FGF2, FAS, and EGFR were enriched in the key chemoresistance-related ways. Furthermore, MYC, EGFR, CCND1 exhibited close association with chemotherapeutic response to platinum and showed a high expression in ovarian cancer tissues and platinum-resistant ovarian cancer cells.

conclusionThe study suggests the key genes (MYC, EGFR, and CCND1) and pathways (p53, cell cycle, PI3K-Akt, and MAPK) responsible for the effect of CAFs on ovarian cancer chemoresistance.

Indexed as

Cancer-Associated FibroblastsDrug Resistance, NeoplasmOvarian NeoplasmsErbB ReceptorsFemaleGene Expression Regulation, NeoplasticHumansPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktTumor Suppressor Protein p53ErbB ReceptorsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktTumor Suppressor Protein p53Cancer-associated fibroblastsCCND1ChemoresistanceEGFRMAPK pathwayMYCOvarian cancerP53 pathwayPI3K-Akt pathway

Identifiers

PMID35739532
PMCPMC9219195
OpenAlexW4283322633

What OpenQuestion holds

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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.