Evidence map›Paper›PMID 37016317›Full record

ArticleMolecular medicine (Cambridge, Mass.)2023

Paired protein kinases PRKCI-RIPK2 promote pancreatic cancer growth and metastasis via enhancing NF-κB/JNK/ERK phosphorylation.

Juying Jiao, Linjie Ruan, Chien-Shan Cheng, Fengjiao Wang, Peiwen Yang, Zhen Chen

Open access · goldAbstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Inflammation, microbiota, and pancreatic cancer.Cancer cell international · 2025
    Review
  9. Article
  10. Review
  11. 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

6 authors at 1 institution in 1 country.

Juying JiaoDepartment of Integrative Oncology, Fudan University Shanghai Cancer Center, No. 270 Dongan Rd., Xuhui District, Shanghai, 200032, China.
Linjie RuanDepartment of Integrative Oncology, Fudan University Shanghai Cancer Center, No. 270 Dongan Rd., Xuhui District, Shanghai, 200032, China.
Chien-Shan ChengDepartment of Integrative Oncology, Fudan University Shanghai Cancer Center, No. 270 Dongan Rd., Xuhui District, Shanghai, 200032, China.
Fengjiao WangDepartment of Integrative Oncology, Fudan University Shanghai Cancer Center, No. 270 Dongan Rd., Xuhui District, Shanghai, 200032, China.
Peiwen YangDepartment of Integrative Oncology, Fudan University Shanghai Cancer Center, No. 270 Dongan Rd., Xuhui District, Shanghai, 200032, China.
Zhen ChenDepartment of Integrative Oncology, Fudan University Shanghai Cancer Center, No. 270 Dongan Rd., Xuhui District, Shanghai, 200032, China. zchenzl@fudan.edu.cn.ORCID 0000-0002-4502-0801
Shanghai Medical College of Fudan University · CN

Funding

Key Programme 81930115National Natural Science Foundation of China 82174155
6 · The paper itself

Abstract

backgroundProtein kinases play a pivotal role in the malignant evolution of pancreatic cancer (PC) through mediating phosphorylation. Many kinase inhibitors have been developed and translated into clinical use, while the complex pathology of PC confounds their clinical efficacy and warrants the discovery of more effective therapeutic targets.

methodsHere, we used the Gene Expression Omnibus (GEO) database and protein kinase datasets to map the PC-related protein kinase-encoding genes. Then, applying Gene Expression and Profiling Interactive Analysis (GEPIA), GEO and Human Protein Atlas, we evaluated gene correlation, gene expression at protein and mRNA levels, as well as survival significance. In addition, we performed protein kinase RIPK2 knockout and overexpression to observe effects of its expression on PC cell proliferation, migration and invasion in vitro, as well as cell apoptosis, reactive oxygen species (ROS) production and autophagy. We established PC subcutaneous xenograft and liver metastasis models to investigate the effects of RIPK2 knockout on PC growth and metastasis. Co-immunoprecipitation and immunofluorescence were utilized to explore the interaction between protein kinases RIPK2 and PRKCI. Polymerase chain reaction and immunoblotting were used to evaluate gene expression and protein phosphorylation level.

resultsWe found fourteen kinases aberrantly expressed in human PC and nine kinases with prognosis significance. Among them, RIPK2 with both serine/threonine and tyrosine activities were validated to promote PC cells proliferation, migration and invasion. RIPK2 knockout could inhibit subcutaneous tumor growth and liver metastasis of PC. In addition, RIPK2 knockout suppressed autophagosome formation, increased ROS production and PC cell apoptosis. Importantly, another oncogenic kinase PRKCI could interact with RIPK2 to enhance the phosphorylation of downstream NF-κB, JNK and ERK.

conclusionPaired protein kinases PRKCI-RIPK2 with multiple phosphorylation activities represent a new pathological mechanism in PC and could provide potential targets for PC therapy.

Indexed as

Liver NeoplasmsPancreatic NeoplasmsProtein Kinase CReceptor-Interacting Protein Serine-Threonine Kinase 2AnimalsCell Line, TumorHumansNF-kappa BPhosphorylationProtein Kinase C-lambdaReactive Oxygen SpeciesNF-kappa BProtein Kinase CProtein Kinase C-lambdaReactive Oxygen SpeciesReceptor-Interacting Protein Serine-Threonine Kinase 2RIPK2 protein, humanPancreatic cancerPhosphorylationProtein kinaseProtein kinase C iotaReceptor interacting protein kinase 2

Identifiers

PMID37016317
PMCPMC10074657
OpenAlexW4362602497

What OpenQuestion holds

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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.