The role of adherent-to-suspension transition factors in clear cell renal cell carcinoma progression: a comprehensive analysis

Recent studies have identified a biological process called adherent-to-suspension transition (AST) as a key factor in promoting metastasis. The involvement of AST in the progression of clear cell renal cell carcinoma (ccRCC) remains largely unexplored. We comprehensively investigated the overall landscape of all 20 AST factors at the pan-cancer level. The risk stratification method and the prognostic model based on AST factors were established with consensus clustering analysis and LASSO regression algorithm. The potential molecular mechanism of AST was further investigated by multi-omics analysis and cell experiments. We found that AST factors play distinct roles in different cancer types. Consequently, we utilized AST factors to develop a risk stratification method and a prognostic model, which can effectively guide the treatment of ccRCC patients. We proposed that the promotion of AST is facilitated by SPIB through the SAA1-AKT pathway, enhancing the likelihood of ccRCC metastasis, and conducted rigorous analyses using multi-omics data and cellular experiments. Our study presents a novel risk stratification method and prognostic model for ccRCC. And we identified the SPIB-SAA1-AKT pathway as one of the potential mechanisms by which AST factors promote ccRCC metastasis.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-04-19
DOI
https://doi.org/10.1038/s41598-025-96807-9
Primary Topic
Renal and related cancers
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The role of adherent-to-suspension transition factors in clear cell renal cell carcinoma progression: a comprehensive analysis

Shiyong Qi, Changyi Quan, Shimiao Zhu, Haotian Wei et al.
2 links
Scientific Reports
Renal and related cancers
article

The role of adherent-to-suspension transition factors in clear cell renal cell carcinoma progression: a comprehensive analysis

Shiyong Qi, Changyi Quan, Shimiao Zhu, Haotian Wei, Chenglong Xu, Zifei Li, Yingjie Bi, Jing Tian, Qi Li, Yue Wang, Xiaocheng Ma, Zhaochen Li
article en

Abstract

Recent studies have identified a biological process called adherent-to-suspension transition (AST) as a key factor in promoting metastasis. The involvement of AST in the progression of clear cell renal cell carcinoma (ccRCC) remains largely unexplored. We comprehensively investigated the overall landscape of all 20 AST factors at the pan-cancer level. The risk stratification method and the prognostic model based on AST factors were established with consensus clustering analysis and LASSO regression algorithm. The potential molecular mechanism of AST was further investigated by multi-omics analysis and cell experiments. We found that AST factors play distinct roles in different cancer types. Consequently, we utilized AST factors to develop a risk stratification method and a prognostic model, which can effectively guide the treatment of ccRCC patients. We proposed that the promotion of AST is facilitated by SPIB through the SAA1-AKT pathway, enhancing the likelihood of ccRCC metastasis, and conducted rigorous analyses using multi-omics data and cellular experiments. Our study presents a novel risk stratification method and prognostic model for ccRCC. And we identified the SPIB-SAA1-AKT pathway as one of the potential mechanisms by which AST factors promote ccRCC metastasis.

Scientific ReportsVol. 15(1)
Second Hospital of Tianjin Medical University (CN), Tianjin Medical University (CN)
Good health and well-being
Openalex Percentile: Top 93%
Renal and related cancers
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.