Evidence map›Paper›PMID 36528701›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2023

PIK3R2 predicts poor outcomes for patients with melanoma and contributes to the malignant progression via PI3K/AKT/NF-κB axis.

Jianguo Wang, Shizhong Cai, Qianwei Xiong, Deyu Weng, Qian Wang, Zhourui Ma

Abstract read
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In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

9 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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  4. [Machine learning-based programmed cell death signature model for precise prediction of prognosis and treatment response in melanoma].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Article
  5. Anoikis patterns via machine learning strategy and experimental verification exhibit distinct prognostic and immune landscapes in melanoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Article
  6. Article
  7. Review
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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.

Jianguo Wang *Department of Surgery, Nanjing Pukou Central Hospital (Pukou Branch Hospital of Jiangsu Province Hospital), Nanjing, 211800, Jiangsu, People's Republic of China.
Shizhong Cai *Department of Child and Adolescent Healthcare, Children's Hospital of Soochow University, Suzhou, 215025, Jiangsu, People's Republic of China.
Qianwei XiongDepartment of Urology, Children's Hospital of Soochow University, Suzhou, 215025, Jiangsu, People's Republic of China.
Deyu WengDepartment of Surgery, Nanjing Pukou Central Hospital (Pukou Branch Hospital of Jiangsu Province Hospital), Nanjing, 211800, Jiangsu, People's Republic of China.
Qian WangDepartment of Anesthesiology, Children's Hospital of Soochow University, No. 92 Zhongnan Street, Suzhou, 215025, Jiangsu, People's Republic of China. q_wang0302@suda.edu.cn.
Zhourui MaDepartment of Burns and Plastic Surgery, Children's Hospital of Soochow University, No. 92 Zhongnan Street, Suzhou, 215025, Jiangsu, People's Republic of China. chngrey@suda.edu.cn.ORCID http://orcid.org/0000-0001-9069-4648
Soochow University · CNJiangsu Province Hospital · CN

Funding

Science Plan Project of Suzhou No. SYSD2019118Science Plan Project of Suzhou SYS2020151Science Plan Project of Suzhou SYS2020161
6 · The paper itself

Abstract

backgroundMelanoma is an aggressive form of skin cancer worldwide. Phosphoinositide-3-kinase regulatory subunit 2 (PIK3R2) exerts carcinogenic roles in various tumors. So far, the function and mechanism of PIK3R2 in melanoma are not been fully clarified.

objectiveWe aimed to clarify the role of PIK3R2 in melanoma.

methodsPIK3R2 expressions in melanoma clinical tissues and melanoma cells were measured using quantitative real-time PCR and Western blot. In addition, PIK3R2 expressions in different tumor stages of melanoma were determined by immunohistochemistry assay. Meanwhile, PIK3R2 function was evaluated using loss or gain-of-function assays, Cell Counting Kit-8 assay, flow cytometry, and Transwell analysis. Furthermore, PIK3R2 mechanism in melanoma was assessed by a series of rescue experiments.

resultsPIK3R2 was highly expressed in melanoma tissues and cells, and PIK3R2 expressions were the highest in Stage IV. Functionally, PIK3R2 knockdown repressed melanoma cell proliferation, invasion, epithelial-mesenchymal transition, and facilitated cell apoptosis. Also, PIK3R2 overexpression produced an opposite trend. Mechanistically, PIK3R2 facilitated melanoma progression by activating PI3K/AKT/NF-κB pathway. Furthermore, PIK3R2 knockdown restrained the melanoma tumor growth in vivo.

conclusionsPIK3R2 aggravated melanoma by activating PI3K/AKT/NF-κB pathway, prompting that PIK3R2 might be a therapeutic target for melanoma.

Indexed as

MelanomaPhosphatidylinositol 3-KinasesSkin NeoplasmsCell Line, TumorCell MovementCell ProliferationHumansMicroRNAsNF-kappa BProto-Oncogene Proteins c-aktSignal TransductionMicroRNAsNF-kappa BPhosphatidylinositol 3-Kinasesphosphoinositol-3 kinase regulatory subunit 2, humanProto-Oncogene Proteins c-aktApoptosisInvasionMelanomaPI3K/AKT/NF-κBPIK3R2Proliferation

Identifiers

PMID36528701
OpenAlexW4311813896

What OpenQuestion holds

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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.