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Comparing Metastatic Clear Cell Renal Cell Carcinoma Model Established in Mouse Kidney and on Chicken Chorioallantoic Membrane
Published on: February 8, 2020
A New Thinking: Deciphering the Aberrance and Clinical Implication of IGF Axis Regulation Pattern in Clear Cell Renal
Aimin Jiang1, Xiaofeng Wu1, Desheng Wang2
1Department of Urology, Changhai Hospital, Naval Medical University, (Second Military Medical University), Shanghai, China.
Rationale:
The recent research found that IGF regulator genes played a pivotal role in multiple biological processes, which may be developed for cancer treatment. However, the characteristics and implication of IGF regulators in cancers, especially in clear cell renal cell carcinoma (ccRCC), remain elusive.
Methods:
We systematically analyzed the expression, prognostic valuation, genome variation, and functional implication at pan-cancer level from The Cancer Genome Atlas. According to expression levels of IGF regulator genes, ccRCC could be divided into three different subtypes via unsupervised cluster algorithm: IGF pattern cancer type1 (IPCS1), type2 (IPCS2), and type3 (IPCS3). The immune microenvironment, immunotherapy response, metabolic pattern, and tumor progression signature among the three subgroups were investigated. The clinical characteristics, genomic mutations, and potential drug sensitivity were further analyzed. IGF pattern-related risk model was constructed to predict RCC patients' outcome. Finally, SHC1, a potential IGF axis target, was comprehensively investigated in ccRCC.
Results:
We found that IGF regulator genes were specifically upregulated in various cancer tissues, which were correlated with copy number variations and dysregulated pathways. IPCS1, IPCS2, and IPCS3 exhibited different clinical profiles and biological characteristics in ccRCC. IPCS3 subtype indicated a higher clinical stage and a worse survival. IPSC3 ccRCC displayed activated metabolic signatures to fuel the cancer progression. IPCS3 subgroup holds a higher tumor mutation burden and lower immune activities, which resulted in a low ICI therapy response and tumor immunity dysfunction state. The genome copy numbers of IPCS2/3, including arm gain and arm loss, were significantly higher than IPCS1. Besides, the drug sensitivity profiles were different among the three subgroups. The prognostic risk model based on subtype's biomarker exerted a promising performance both in training and validation cohorts. Finally, upregulated expression of SHC1 partly induced poorer immunotherapy response and shorter survival of ccRCC patients.
Conclusion:
Targeting IGF regulators may be functioned as a treatment approach among multi-cancers. IGF regulator-related signature could reshape the tumor immune microenvironment via activating multi-step immune programs. The inhibition of SHC1 may enhance the efficacy of immunotherapy, and SHC1 could be a suitable target for ccRCC therapy.
Insights
Insulin-like growth factor (IGF) regulators are crucial in cancer, including clear cell renal cell carcinoma (ccRCC). This study identifies IGF regulator-driven subtypes in ccRCC, revealing distinct immune and metabolic profiles, and proposes SHC1 as a therapeutic target.
Area of Science:
- Oncology
- Genomics
- Immunology
Background:
- Insulin-like growth factor (IGF) regulators are implicated in various biological processes and hold potential for cancer treatment.
- The specific roles and implications of IGF regulators in cancers, particularly clear cell renal cell carcinoma (ccRCC), remain largely uncharacterized.
Purpose of the Study:
- To systematically analyze the expression, prognostic value, genomic variations, and functional implications of IGF regulator genes across various cancers.
- To classify ccRCC into distinct subtypes based on IGF regulator gene expression and investigate their associated immune microenvironment, metabolic patterns, and clinical characteristics.
- To develop a prognostic risk model for ccRCC and evaluate SHC1 as a potential therapeutic target.
Main Methods:
- Utilized The Cancer Genome Atlas (TCGA) data for pan-cancer analysis of IGF regulator genes.
- Applied unsupervised clustering to stratify ccRCC into three subtypes (IPCS1, IPCS2, IPCS3) based on IGF regulator expression.
- Investigated immune microenvironment, immunotherapy response, metabolic profiles, clinical characteristics, genomic mutations, and drug sensitivity for each subtype.
- Constructed and validated a prognostic risk model and comprehensively analyzed SHC1 expression and its correlation with ccRCC outcomes.
Main Results:
- IGF regulator genes are upregulated in multiple cancer types and associated with copy number variations and pathway dysregulation.
- Three distinct ccRCC subtypes (IPCS1, IPCS2, IPCS3) exhibit differential clinical profiles, with IPCS3 showing higher stage, worse survival, activated metabolism, higher tumor mutation burden, and lower immune activity.
- IPCS3 ccRCC demonstrates poor response to immune checkpoint inhibitor (ICI) therapy and immune dysfunction.
- Significant differences in genome copy numbers and drug sensitivity were observed among the subtypes.
- The developed prognostic risk model showed promising predictive performance.
- Upregulated SHC1 expression correlated with poorer immunotherapy response and shorter survival in ccRCC patients.
Conclusions:
- Targeting IGF regulators presents a potential therapeutic strategy across multiple cancers.
- IGF regulator signatures can modulate the tumor immune microenvironment through immune program activation.
- Inhibition of SHC1 may enhance immunotherapy efficacy and positions SHC1 as a viable therapeutic target for ccRCC.
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