Evidence map›Paper›PMID 35277527›Full record

ArticleScientific reports2022

AC010973.2 promotes cell proliferation and is one of six stemness-related genes that predict overall survival of renal clear cell carcinoma.

Yingqing Liu, Jiawei Wang, Lin Li, Haibo Qin, Yuang Wei, Xu Zhang, Xiaohan Ren, Wei Ding, Xudong Shen, Guangyao Li and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

55 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

15 authors.

Yingqing Liu *Department of Urology, The Second People's Hospital of Wuhu, Wuhu, 241000, Anhui Province, China.
Jiawei Wang *Department of Urology, The Second People's Hospital of Wuhu, Wuhu, 241000, Anhui Province, China.
Lin Li *Department of Urology, The Second People's Hospital of Wuhu, Wuhu, 241000, Anhui Province, China.
Haibo Qin *Department of Urology, The Second People's Hospital of Wuhu, Wuhu, 241000, Anhui Province, China.
Yuang WeiDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China.
Xu ZhangDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China.
Xiaohan RenDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China.
Wei DingDepartment of Urology, The Second People's Hospital of Wuhu, Wuhu, 241000, Anhui Province, China.
Xudong ShenDepartment of Urology, The Second People's Hospital of Wuhu, Wuhu, 241000, Anhui Province, China.
Guangyao LiDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China.
Zhongwen LuDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China.
Dong ZhangDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China.
Chao QinDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China.
Lingsong TaoDepartment of Urology, The Second People's Hospital of Wuhu, Wuhu, 241000, Anhui Province, China. whtaolingsong@163.com.
Xinglin ChenDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210009, China. nmuchenxinglin@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extensive research indicates that tumor stemness promotes tumor progression. Nonetheless, the underlying roles of stemness-related genes in renal clear cell carcinoma (ccRCC) are unclear. Data used in bioinformatics analysis were downloaded from The Cancer Genome Atlas (TCGA) database. Moreover, the R software, SPSS, and GraphPad Prism 8 were used for mapping and statistical analysis. First, the stemness index of each patient was quantified using a machine learning algorithm. Subsequently, the differentially expressed genes between high and low stemness index were identified as stemness-related genes. Based on these genes, a stable and effective prognostic model was identified to predict the overall survival of patients using a random forest algorithm (Training cohort; 1-year AUC: 0.67; 3-year AUC: 0.79; 5-year AUC: 0.73; Validation cohort; 1-year AUC: 0.66; 3-year AUC: 0.71; 5-year AUC: 0.7). The model genes comprised AC010973.2, RNU6-125P, AP001209.2, Z98885.1, KDM5C-IT1, and AL021368.3. Due to its highest importance evaluated by randomforst analysis, the AC010973.2 gene was selected for further research. In vitro experiments demonstrated that AC010973.2 is highly expressed in ccRCC tissue and cell lines. Meanwhile, its knockdown could significantly inhibit the proliferation of ccRCC cells based on colony formation and CCK8 assays. In summary, our findings reveal that the stemness-related gene AC01097.3 is closely associated with the survival of patients. Besides, it remarkably promotes cell proliferation in ccRCC, hence a novel potential therapeutic target.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsCell ProliferationComputational BiologyFemaleHumansMalePrognosis

Identifiers

PMID35277527
PMCPMC8917182

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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.