Dataset Information

Integrated proteogenomic characterization of urothelial carcinoma of the bladder.

ABSTRACT:

Background

Urothelial carcinoma (UC) is the most common pathological type of bladder cancer, a malignant tumor. However, an integrated multi-omics analysis of the Chinese UC patient cohort is lacking.

Methods

We performed an integrated multi-omics analysis, including whole-exome sequencing, RNA-seq, proteomic, and phosphoproteomic analysis of 116 Chinese UC patients, comprising 45 non-muscle-invasive bladder cancer patients (NMIBCs) and 71 muscle-invasive bladder cancer patients (MIBCs).

Result

Proteogenomic integration analysis indicated that SND1 and CDK5 amplifications on chromosome 7q were associated with the activation of STAT3, which was relevant to tumor proliferation. Chromosome 5p gain in NMIBC patients was a high-risk factor, through modulating actin cytoskeleton implicating in tumor cells invasion. Phosphoproteomic analysis of tumors and morphologically normal human urothelium produced UC-associated activated kinases, including CDK1 and PRKDC. Proteomic analysis identified three groups, U-I, U-II, and U-III, reflecting distinct clinical prognosis and molecular signatures. Immune subtypes of UC tumors revealed a complex immune landscape and suggested the amplification of TRAF2 related to the increased expression of PD-L1. Additionally, increased GARS, related to subtype U-II, was validated to promote pentose phosphate pathway by inhibiting activities of PGK1 and PKM2.

Conclusions

This study provides a valuable resource for researchers and clinicians to further identify molecular pathogenesis and therapeutic opportunities in urothelial carcinoma of the bladder.

SUBMITTER: Xu N

PROVIDER: S-EPMC9164575 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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Publications

Integrated proteogenomic characterization of urothelial carcinoma of the bladder.

Xu Ning N Yao Zhenmei Z Shang Guoguo G Ye Dingwei D Wang Haixing H Zhang Hailiang H Qu Yuanyuan Y Xu Fujiang F Wang Yunzhi Y Qin Zhaoyu Z Zhu Jiajun J Zhang Fan F Feng Jinwen J Tian Sha S Liu Yang Y Zhao Jianyuan J Hou Jun J Guo Jianming J Hou Yingyong Y Ding Chen C

Journal of hematology & oncology 20220603 1

<h4>Background</h4>Urothelial carcinoma (UC) is the most common pathological type of bladder cancer, a malignant tumor. However, an integrated multi-omics analysis of the Chinese UC patient cohort is lacking.<h4>Methods</h4>We performed an integrated multi-omics analysis, including whole-exome sequencing, RNA-seq, proteomic, and phosphoproteomic analysis of 116 Chinese UC patients, comprising 45 non-muscle-invasive bladder cancer patients (NMIBCs) and 71 muscle-invasive bladder cancer patients ( ...[more]

PMID: 35659036

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Project description:BackgroundDifferent genomic characterization in urothelial carcinoma (UC) by site of origin may imply contrasting therapeutic opportunities and pathogenetic mechanisms. The aim of this study was to investigate whether differences between upper tract UC (UTUC) and UC of the bladder (UCB) result from intrinsic biological diversity.Materials and methodsWe prospectively sequenced 118 tumors and matched blood DNA from Chinese patients with UC using next-generation sequencing techniques, including 45 UTUC and 73 UCB. Two hundred twenty-six patients with UTUC and 350 patients with UCB for The Cancer Genome Atlas were acquired from the cbioportal.ResultsThere were marked disparities in the mutational landscape for UC according to race and site of origin. Signature 22 for exposure to aristolochic acid was only observed in the UTUC cohort. Conversely, signature 6 for defective DNA mismatch repair only existed in the UCB cohort. Compared with UCB, UTUC had higher clonal and subclonal mutation numbers. TP53, PIK3CA, and FGFR3 mutations may be the driver genes for UTUC, whereas for UCB, the driver gene may be BRCA1. Patients with UTUC had lower PD-L1 than those with UCB. There was no significant difference in the number of DDR mutations, copy number variation counts, and tumor mutational burden between UTUC and UCB.ConclusionUTUC and UCB exhibit significant differences in the prevalence of genomic landscape and carcinogenesis. Consequently, molecular subtypes differ according to location, and these results may imply the site-specific management of patients with urothelial carcinoma. Mutational signature may be used as a screening tool to assist clinical differential diagnosis between UTUC and UCB.Implications for practiceThis study's findings lay the foundation for a deeper understanding of distinct molecular mechanisms and similar treatment opportunities between upper tract urothelial carcinoma (UTUC) and urothelial carcinoma of the bladder (UCB) and had important implications for the site-specific management of patients with urothelial carcinoma. A comprehensive understanding of the biology of UTUC and UCB is needed to identify new drug targets in order to improve clinical outcomes.

Project description:BackgroundEfforts to precisely assess tumor-specific T-cell immune responses still face major challenges, and the potential molecular mechanisms mediating hepatocellular carcinoma (HCC) microenvironment imbalance after incomplete radiofrequency ablation (iRFA) are unclear. This study aimed to provide further insight into the integrated transcriptomic and proteogenomic landscape and identify a new target involved in HCC progression following iRFA.MethodsPeripheral blood and matched tissue samples were collected from 10 RFA-treated HCC patients. Multiplex immunostaining and flow cytometry were used to assess local and systemic immune responses. Differentially expressed genes (DEGs) and differentially expressed proteins (DEPs) were explored via transcriptomic and proteogenomic analyses. Proteinase-3 (PRTN3) was identified in these analyses. And then, the ability of PRTN3 to predict overall survival (OS) was assessed in 70 HCC patients with early recurrence after RFA. In vitro CCK-8, wound healing and transwell assays were conducted to observe interactions between Kupffer cells (KCs) and HCC cells induced by PRTN3. The protein levels of multiple oncogenic factors and signaling pathway components were detected by western blotting. A xenograft mouse model was built to observe the tumorigenic effect of PRTN3 overexpression on HCC.ResultsMultiplex immunostaining revealed no immediate significant change in local immune cell counts in periablational tumor tissues after 30 min of iRFA. Flow cytometry showed significantly increased levels of CD4+ T cells, CD4+CD8+ T cells, and CD4+CD25+CD127- Tregs and significantly decreased the levels of CD16+CD56+ natural killer cells on day 5 after cRFA (p < 0.05). Transcriptomics and proteomics revealed 389 DEGs and 20 DEPs. Pathway analysis showed that the DEP-DEGs were mainly enriched in the immunoinflammatory response, cancer progression and metabolic processes. Among the DEP-DEGs, PRTN3 was persistently upregulated and closely associated with the OS of patients with early recurrent HCC following RFA. PRTN3 expressed in KCs may affect the migration and invasion of heat stress-treated HCC cells. PRTN3 promotes tumor growth via multiple oncogenic factors and the PI3K/AKT and P38/ERK signaling pathways.ConclusionsThis study provides a comprehensive overview of the immune response and transcriptomic and proteogenomic landscapes of the HCC milieu induced by iRFA, revealing that PRTN3 promotes HCC progression after iRFA.Trial registrationChiCTR2200055606, http://www.chictr.org.cn/showproj.aspx?proj=32588 .

Project description:Background: Bladder urothelial carcinoma (BLCA) is the most common type of bladder cancer. In this study, the correlation between the metabolic status and the outcome of patients with BLCA was evaluated using data from the Cancer Genome Atlas and Gene Expression Omnibus datasets. Methods: The clinical and transcriptomic data of patients with BLCA were downloaded from the Cancer Genome Atlas and cBioPortal datasets, and energy metabolism-related gene sets were obtained from the Molecular Signature Database. A consensus clustering algorithm was then conducted to classify the patients into two clusters. Tumor prognosis, clinicopathological features, mutations, functional analysis, ferroptosis status analysis, immune infiltration, immune checkpoint-related gene expression level, chemotherapy resistance, and tumor stem cells were analyzed between clusters. An energy metabolism-related signature was further developed and verified using data from cBioPortal datasets. Results: Two clusters (C1 and C2) were identified using a consensus clustering algorithm based on an energy metabolism-related signature. The patients with subtype C1 had more metabolism-related pathways, different ferroptosis status, higher cancer stem cell scores, higher chemotherapy resistance, and better prognosis. Subtype C2 was characterized by an increased number of advanced BLCA cases and immune-related pathways. Higher immune and stromal scores were also observed for the C2 subtype. A signature containing 16 energy metabolism-related genes was then identified, which can accurately predict the prognosis of patients with BLCA. Conclusion: We found that the energy metabolism-associated subtypes of BLCA are closely related to the immune microenvironment, immune checkpoint-related gene expression, ferroptosis status, CSCs, chemotherapy resistance, prognosis, and progression of BLCA patients. The established energy metabolism-related gene signature was able to predict survival in patients with BLCA.

Dataset Information

Integrated proteogenomic characterization of urothelial carcinoma of the bladder.

Background

Methods

Result

Conclusions

Publications

Integrated proteogenomic characterization of urothelial carcinoma of the bladder.

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