Evidence map›Paper›PMID 35477477›Full record

ArticleJournal of ovarian research2022

High expression of RIPK2 is associated with Taxol resistance in serous ovarian cancer.

Yuqing Shen, Hui Lin, Kelie Chen, Wanzhong Ge, Dajing Xia, Yihua Wu, Weiguo Lu

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. RIPK2: a promising target for cancer treatment.Frontiers in pharmacology · 2023
    Review
  5. NOD1 and NOD2 Are Potential Therapeutic Targets for Cancer Immunotherapy.Computational intelligence and neuroscience · 2022
    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

7 authors at 2 institutions in 1 country.

Yuqing ShenWomen's Reproductive Health Laboratory of Zhejiang Province, Women's Hospital School of Medicine Zhejiang University, Hangzhou, 310006, China.
Hui LinWomen's Reproductive Health Laboratory of Zhejiang Province, Women's Hospital School of Medicine Zhejiang University, Hangzhou, 310006, China.
Kelie ChenDepartment of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital School of Medicine Zhejiang University, Hangzhou, 310058, Zhejiang, China.
Wanzhong GeDivision of Human Reproduction and Developmental Genetics, Women's Hospital School of Medicine Zhejiang University, Hangzhou, 310058, Zhejiang, China.
Dajing XiaDepartment of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital School of Medicine Zhejiang University, Hangzhou, 310058, Zhejiang, China.
Yihua WuDepartment of Toxicology of School of Public Health, and Department of Gynecologic Oncology of Women's Hospital School of Medicine Zhejiang University, Hangzhou, 310058, Zhejiang, China.
Weiguo LuWomen's Reproductive Health Laboratory of Zhejiang Province, Women's Hospital School of Medicine Zhejiang University, Hangzhou, 310006, China. lbwg@zju.edu.cn.ORCID http://orcid.org/0000-0003-2062-7145
Zhejiang Cancer Hospital · CNWomen's Hospital, School of Medicine, Zhejiang University · CN

Funding

National Natural Science Foundation of China 31005808A11 12
6 · The paper itself

Abstract

backgroundTaxol resistance in serous ovarian cancer is responsible for its poor prognosis, yet the underlying mechanism is still poorly understood. Thus, we probed the mechanism of Taxol resistance in serous ovarian cancer with multiple bioinformatic methods to provide novel insights into potential therapies.

methodsThe differentially expressed genes (DEGs) in Taxol-sensitive and Taxol-resistant cell lines and their relationship with the overall survival (OS) and progression-free interval (PFI) of ovarian cancer patients were analyzed using gene expression datasets from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The role of receptor interacting serine/threonine kinase 2 (RIPK2) was validated via identification of its coexpressed genes, functional analysis and generation of a protein-protein interaction (PPI) network. The single sample gene set enrichment analysis (ssGSEA) was used to explore immune infiltration, and genomic alterations of RIPK2 were also analyzed via cBio Cancer Genomics Portal (cBioProtal).

resultsRIPK2 was highly expressed in Taxol resistant ovarian cancer cell lines, and its high expression was also linked with shorter OS and PFI in serous ovarian cancer patients. The PPI network analysis and pathway analysis demonstrated that RIPK2 might participate in the positive regulation of NF-κB transcription factor activity. RIPK2 expression was related to tumor microenvironment alterations, which might participate in the formation of Taxol resistance.

conclusionsOur studies suggested that high expression of RIPK2 is related to Taxol resistance in serous ovarian cancer, and that RIPK2 induces Taxol resistance through NOD1/RIPK2/NF-κB inflammatory pathway activation and tumor microenvironment changes.

Indexed as

Cystadenocarcinoma, SerousOvarian NeoplasmsCarcinoma, Ovarian EpithelialFemaleHumansNF-kappa BPaclitaxelReceptor-Interacting Protein Serine-Threonine Kinase 2Tumor MicroenvironmentNF-kappa BPaclitaxelReceptor-Interacting Protein Serine-Threonine Kinase 2RIPK2 protein, humanBioinformaticsImmune infiltrationRIPK2Serous ovarian cancerTaxol resistance

Identifiers

PMID35477477
PMCPMC9044796
OpenAlexW4225283352

What OpenQuestion holds

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LicenceCC BY
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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.