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Wang M, Min M, Mai J, Liu X. Systematic analysis of the expression profiles and prognostic significance of the MED gene family in renal clear cell carcinoma. Oncol Lett 2024; 28:398. [PMID: 38979551 PMCID: PMC11228927 DOI: 10.3892/ol.2024.14531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 04/23/2024] [Indexed: 07/10/2024] Open
Abstract
The mediator complex (MED) family is a contributing factor in the regulation of transcription and proliferation of cells, and is closely associated with the development of various types of cancer. However, the significance of the expression levels and prognostic value of MED genes in kidney renal clear cell carcinoma (KIRC) have rarely been reported. The present study analyzed the expression and prognostic potential of MED genes in KIRC. The Search Tool for the Retrieval of Interacting Genes/Proteins was used to construct the protein-protein interaction network (PPI), the Assistant for Clinical Bioinformatics database was used to perform correlation analysis, GEPIA 2 was utilized to draw the Kaplan-Meier plot and analyze prognostic significance and the Tumor Immune Estimation Resource was used to assess the association of MED genes with the infiltration of immune cells in patients with KIRC. A total of 30 MED genes were identified, and among these genes, 11 were selected for the creation of a prognostic gene signature based on the results of a LASSO Cox regression analysis. Furthermore, according to univariate and multivariate analyses, MED7, MED16, MED21, MED25 and MED29 may be valuable independent predictive biomarkers for the prognosis of individuals with KIRC. Furthermore, there were significant differences in the expression levels of MED7, MED21 and MED25 in KIRC among different tumor grades. Additionally, patients with KIRC with high transcription levels of MED7, MED21 and MED29 had considerably longer overall survival times. The expression levels of MED genes were also linked to the infiltration of several immune cells. Overall, MED genes may have potential significance in predicting the prognosis of patients with KIRC.
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Affiliation(s)
- Min Wang
- Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan 610041, P.R. China
| | - Min Min
- Outpatient Department, The Air Force Hospital of Western Theater, People's Liberation Army, Chengdu, Sichuan 500643, P.R. China
| | - Jia Mai
- Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan 610041, P.R. China
| | - Xiaojuan Liu
- Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan 610041, P.R. China
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Ye B, Ji H, Zhu M, Wang A, Tang J, Liang Y, Zhang Q. Single-cell sequencing reveals novel proliferative cell type: a key player in renal cell carcinoma prognosis and therapeutic response. Clin Exp Med 2024; 24:167. [PMID: 39052149 PMCID: PMC11272756 DOI: 10.1007/s10238-024-01424-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Accepted: 07/02/2024] [Indexed: 07/27/2024]
Abstract
Renal cell carcinoma (RCC) is characterized by a variety of subtypes, each defined by unique genetic and morphological features. This study utilizes single-cell RNA sequencing to explore the molecular heterogeneity of RCC. A highly proliferative cell subset, termed as "Prol," was discovered within RCC tumors, and its increased presence was linked to poorer patient outcomes. An artificial intelligence network, encompassing traditional regression, machine learning, and deep learning algorithms, was employed to develop a Prol signature capable of predicting prognosis. The signature demonstrated superior performance in predicting RCC prognosis compared to other signatures and exhibited pan-cancer prognostic capabilities. RCC patients with high Prol signature scores exhibited resistance to targeted therapies and immunotherapies. Furthermore, the key gene CEP55 from the Prol signature was validated by both proteinomics and quantitative real time polymerase chain reaction. Our findings may provide new insights into the molecular and cellular mechanisms of RCC and facilitate the development of novel biomarkers and therapeutic targets.
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Affiliation(s)
- Bicheng Ye
- School of Clinical Medicine, Yangzhou Polytechnic College, Yangzhou, China
- Department of Urology, Changhai Hospital, Naval Medical University (Second Military Medical University), Shanghai, China
| | - Hongsheng Ji
- Department of Urology, Lianshui People's Hospital of Kangda College Affiliated to Nanjing Medical University, Huai'an, China
| | - Meng Zhu
- Department of Geriatrics, The Affiliated Huaian Hospital of Xuzhou Medical University, Huaian Second People's Hospital, Huaian, China
| | - Anbang Wang
- Department of Urology, Changhai Hospital, Naval Medical University (Second Military Medical University), Shanghai, China
| | - Jingsong Tang
- Department of General Surgery, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China.
| | - Yong Liang
- Department of Medical Laboratory, Huai'an Second People's Hospital Affiliated to Xuzhou Medical Universit, Huaian, China.
| | - Qing Zhang
- Department of Hepatology, Huai'an No. 4 People's Hospital, Huai'an, China.
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3
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Liu L, Sun P, Zhang W. A pan-cancer interrogation of intronic polyadenylation and its association with cancer characteristics. Brief Bioinform 2024; 25:bbae376. [PMID: 39082645 PMCID: PMC11289681 DOI: 10.1093/bib/bbae376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 06/26/2024] [Accepted: 07/17/2024] [Indexed: 08/03/2024] Open
Abstract
3'UTR-APAs have been extensively studied, but intronic polyadenylations (IPAs) remain largely unexplored. We characterized the profiles of 22 260 IPAs in 9679 patient samples across 32 cancer types from the Cancer Genome Atlas cohort. By comparing tumor and paired normal tissues, we identified 180 ~ 4645 dysregulated IPAs in 132 ~ 2249 genes in each of 690 patient tumors from 22 cancer types that showed consistent patterns within individual cancer types. We selected 2741 genes that showed consistently patterns across cancer types, including 1834 pan-cancer tumor-enriched and 907 tumor-depleted IPA genes; the former were amply represented in the functional pathways such as deoxyribonucleic acid damage repair. Expression of IPA isoforms was associated with tumor mutation burden and patient characteristics (e.g. sex, race, cancer stages, and subtypes) in cancer-specific and feature-specific manners, and could be a more accurate prognostic marker than gene expression (summary of all isoforms). In summary, our study reveals the roles and the clinical relevance of tumor-associated IPAs.
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Affiliation(s)
- Liang Liu
- Department of Cancer Biology, Wake Forest University School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157, United States
- Center for Cancer Genomics and Precision Oncology, Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Medical Center Blvd, Winston-Salem, NC 27157, United States
| | - Peiqing Sun
- Department of Cancer Biology, Wake Forest University School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157, United States
| | - Wei Zhang
- Department of Cancer Biology, Wake Forest University School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157, United States
- Center for Cancer Genomics and Precision Oncology, Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Medical Center Blvd, Winston-Salem, NC 27157, United States
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Albertson D, Barry M, Liu T, Mahlow J, Sirohi D. Genotype Phenotype Correlation of Renal Tumors in the Cancer Genome Atlas Database. Int J Surg Pathol 2024:10668969241260236. [PMID: 39034146 DOI: 10.1177/10668969241260236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/23/2024]
Abstract
Morphological features are critical in evaluation of renal tumors and directing molecular workup. The objective of this study was to review histomorphology of renal tumors with molecular alterations of known subtypes. Renal tumors in The Cancer Genome Atlas were reviewed to identify tumors with defining molecular alterations. Single representative digital slides and pathology reports were reviewed and morphologic features recorded. Sixty tumors were identified with molecular alterations in genes characteristic of defined renal cell carcinoma (RCC) subtypes. Findings included the presence of both low- and high-grade histology in TFE3 rearranged RCCs, TFEB amplified RCCs, succinate dehydrogenase (SDH) mutated RCCs and RCCs with mutations in mismatch repair genes. Three ELOC mutated RCCs were identified, one of which demonstrated infiltrative features. Pseudostratification of nuclei in fumarate hydratase mutated RCCs and nuclear grooves in SDH mutated RCCs were intriguing findings not previously reported. Mucinous features were noted in NF2, KRAS, and SDH mutated and ALK rearranged tumors. Significant morphologic overlap was noted across most categories with limited clues for subclassification. Whereas the number of diagnostic entities for kidney tumors continues to increase, many of these have overlapping features, highlighting the significant role molecular characterization currently plays and will continue to play in the future.
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Affiliation(s)
- Daniel Albertson
- Department of Pathology, University of Utah and ARUP Laboratories, Salt Lake City, UT, USA
| | - Marc Barry
- Department of Pathology, University of Utah and ARUP Laboratories, Salt Lake City, UT, USA
| | - Ting Liu
- Department of Pathology, University of Utah and ARUP Laboratories, Salt Lake City, UT, USA
| | - Jonathan Mahlow
- Department of Pathology, University of Utah and ARUP Laboratories, Salt Lake City, UT, USA
| | - Deepika Sirohi
- Department of Pathology, University of Utah and ARUP Laboratories, Salt Lake City, UT, USA
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Vargová D, Dargaj J, Dohál M, Fraňová S, Ľupták J, Škorňová I, Švihra J, Briš L, Slávik P, Šutovská M. Immune analysis of urine and plasma samples from patients with clear cell renal cell carcinoma. Oncol Lett 2024; 27:281. [PMID: 38736737 PMCID: PMC11082642 DOI: 10.3892/ol.2024.14414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 03/25/2024] [Indexed: 05/14/2024] Open
Abstract
Clear cell renal cell carcinoma (ccRCC) is the third most common type of urological malignancy worldwide, and it is associated with a silent progression and late manifestation. Patients with a metastatic form of ccRCC have a poor prognosis; however, when the disease is diagnosed early, it is largely curable. Currently, there are no biomarkers available in clinical practice for ccRCC. Thus, the aim of the present study was to measure 27 biologically relevant cytokines in preoperative and postoperative urine samples, and in preoperative plasma samples from 34 patients with ccRCC, and to evaluate their diagnostic significance. The concentrations of cytokines were assessed by multiplex immune assay. The results showed significantly higher levels of IL-1 receptor antagonist, IL-6, IL-15, chemokine (C-C motif) ligand (CCL)2, CCL3, CCL4, C-X-C motif ligand (CXCL)10, granulocyte-macrophage colony stimulating factor (GM-CSF) and platelet-derived growth factor-BB (PDGF-BB), and lower levels of granulocyte colony stimulating factor (G-CSF) in urine samples from patients prior to surgery compared with those in the controls. Notably, the urine levels of G-CSF, IL-5 and vascular endothelial growth factor differed following tumor removal compared with the preoperative urine levels. In addition, urinary G-CSF, GM-CSF, IL-6, CXCL10, CCL5 and PDGF-BB appeared to be potential markers of tumor grade. Plasma from patients with ccRCC contained significantly higher levels of IL-6 and lower levels of CCL2 than control plasma. In conclusion, the present findings indicated that urinary and circulating cytokines may represent a promising novel tool for the early diagnosis of ccRCC and/or prediction of tumor grade.
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Affiliation(s)
- Daniela Vargová
- Department of Pharmacology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 036 01 Martin, Slovakia
| | - Ján Dargaj
- Department of Urology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava and University Hospital Martin, 036 01 Martin, Slovakia
| | - Matúš Dohál
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 036 01 Martin, Slovakia
| | - Soňa Fraňová
- Department of Pharmacology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 036 01 Martin, Slovakia
| | - Ján Ľupták
- Department of Urology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava and University Hospital Martin, 036 01 Martin, Slovakia
| | - Ingrid Škorňová
- Department of Hematology and Transfusiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava and University Hospital Martin, 036 01 Martin, Slovakia
| | - Ján Švihra
- Department of Urology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava and University Hospital Martin, 036 01 Martin, Slovakia
| | - Lukáš Briš
- Department of Urology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava and University Hospital Martin, 036 01 Martin, Slovakia
| | - Pavol Slávik
- Department of Pathological Anatomy, Jessenius Faculty of Medicine in Martin, Comenius University, 036 01 Martin, Slovakia
| | - Martina Šutovská
- Department of Pharmacology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 036 01 Martin, Slovakia
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Hwang J, Bang S, Choi MH, Hong SH, Kim SW, Lee HE, Yang JH, Park US, Choi YJ. Discovery and Validation of Survival-Specific Genes in Papillary Renal Cell Carcinoma Using a Customized Next-Generation Sequencing Gene Panel. Cancers (Basel) 2024; 16:2006. [PMID: 38893126 PMCID: PMC11171119 DOI: 10.3390/cancers16112006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 05/18/2024] [Accepted: 05/23/2024] [Indexed: 06/21/2024] Open
Abstract
PURPOSE Papillary renal cell carcinoma (PRCC), the second most common kidney cancer, is morphologically, genetically, and molecularly heterogeneous with diverse clinical manifestations. Genetic variations of PRCC and their association with survival are not yet well-understood. This study aimed to identify and validate survival-specific genes in PRCC and explore their clinical utility. MATERIALS AND METHODS Using machine learning, 293 patients from the Cancer Genome Atlas-Kidney Renal Papillary Cell Carcinoma (TCGA-KIRP) database were analyzed to derive genes associated with survival. To validate these genes, DNAs were extracted from the tissues of 60 Korean PRCC patients. Next generation sequencing was conducted using a customized PRCC gene panel of 202 genes, including 171 survival-specific genes. Kaplan-Meier and Log-rank tests were used for survival analysis. Fisher's exact test was performed to assess the clinical utility of variant genes. RESULTS A total of 40 survival-specific genes were identified in the TCGA-KIRP database through machine learning and statistical analysis. Of them, 10 (BAP1, BRAF, CFDP1, EGFR, ITM2B, JAK1, NODAL, PCSK2, SPATA13, and SYT5) were validated in the Korean-KIRP database. Among these survival gene signatures, three genes (BAP1, PCSK2, and SPATA13) showed survival specificity in both overall survival (OS) (p = 0.00004, p = 1.38 × 10-7, and p = 0.026, respectively) and disease-free survival (DFS) (p = 0.00002, p = 1.21 × 10-7, and p = 0.036, respectively). Notably, the PCSK2 mutation demonstrated survival specificity uniquely in both the TCGA-KIRP (OS: p = 0.010 and DFS: p = 0.301) and Korean-KIRP (OS: p = 1.38 × 10-7 and DFS: p = 1.21 × 10-7) databases. CONCLUSIONS We discovered and verified genes specific for the survival of PRCC patients in the TCGA-KIRP and Korean-KIRP databases. The survival gene signature, including PCSK2 commonly obtained from the 40 gene signature of TCGA and the 10 gene signature of the Korean database, is expected to provide insight into predicting the survival of PRCC patients and developing new treatment.
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Affiliation(s)
- Jia Hwang
- Department of Hospital Pathology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea; (J.H.); (H.E.L.)
| | - Seokhwan Bang
- Department of Urology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea; (S.B.); (S.-H.H.); (S.W.K.)
| | - Moon Hyung Choi
- Department of Radiology, College of Medicine, Eunpyeong St. Mary’s Hospital, The Catholic University of Korea, Seoul 03312, Republic of Korea;
| | - Sung-Hoo Hong
- Department of Urology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea; (S.B.); (S.-H.H.); (S.W.K.)
| | - Sae Woong Kim
- Department of Urology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea; (S.B.); (S.-H.H.); (S.W.K.)
| | - Hye Eun Lee
- Department of Hospital Pathology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea; (J.H.); (H.E.L.)
| | - Ji Hoon Yang
- Department of Computer Science and Engineering, Sogang University, Seoul 04107, Republic of Korea; (J.H.Y.); (U.S.P.)
| | - Un Sang Park
- Department of Computer Science and Engineering, Sogang University, Seoul 04107, Republic of Korea; (J.H.Y.); (U.S.P.)
| | - Yeong Jin Choi
- Department of Hospital Pathology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea; (J.H.); (H.E.L.)
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7
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Mehra R, Nallandhighal S, Cotta B, Knuth Z, Su F, Kasputis A, Zhang Y, Wang R, Cao X, Udager AM, Dhanasekaran SM, Cieslik MP, Morgan TM, Salami SS. Discovery and Validation of a 15-Gene Prognostic Signature for Clear Cell Renal Cell Carcinoma. JCO Precis Oncol 2024; 8:e2300565. [PMID: 38810179 DOI: 10.1200/po.23.00565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 01/11/2024] [Accepted: 03/15/2024] [Indexed: 05/31/2024] Open
Abstract
PURPOSE Develop and validate gene expression-based biomarker associated with recurrent disease to facilitate risk stratification of clear cell renal cell carcinoma (ccRCC). MATERIALS AND METHODS We retrospectively identified 110 patients who underwent radical nephrectomy for ccRCC (discovery cohort). Patients who recurred were matched on the basis of grade/stage to patients without recurrence. Capture whole-transcriptome sequencing was performed on RNA isolated from archival tissue using the Illumina platform. We developed a gene-expression signature to predict recurrence-free survival/disease-free survival (DFS) using a 15-fold lasso and elastic-net regularized linear Cox model. We derived the 31-gene cell cycle progression (mxCCP) score using RNA-seq data for each patient. Kaplan-Meier (KM) curves and multivariable Cox proportional hazard testing were used to validate the independent prognostic impact of the gene-expression signature on DFS, disease-specific survival (DSS), and overall survival (OS) in two validation data sets (combined n = 761). RESULTS After quality control, the discovery cohort comprised 50 patients with recurrence and 41 patients without, with a median follow-up of 26 and 36 months, respectively. We developed a 15-gene (15G) signature, which was independently associated with worse DFS and DSS (DFS: hazard ratio [HR], 11.08 [95% CI, 4.9 to 25.1]; DSS: HR, 9.67 [95% CI, 3.4 to 27.7]) in a multivariable model adjusting for clinicopathologic parameters (including stage, size, grade, and necrosis [SSIGN] score and Memorial Sloan Kettering Cancer Center nomogram) and mxCCP score. The 15G signature was also independently associated with worse DFS and DSS in both validation data sets (Validation A [n = 382], DFS: HR, 2.6 [95% CI, 1.6 to 4.3]; DSS: HR, 3 [95% CI, 1.4 to 6.1] and Validation B (n = 379), DFS: HR, 2.1 [95% CI, 1.2 to 3.6]; OS: HR, 3 [95% CI, 1.6 to 5.7]) adjusting for clinicopathologic variables and mxCCP score. CONCLUSION We developed and validated a novel 15G prognostic signature to improve risk stratification of patients with ccRCC. Pending further validation, this signature has the potential to facilitate optimal treatment allocation.
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Affiliation(s)
- Rohit Mehra
- University of Michigan Rogel Cancer Center, Ann Arbor, MI
- Michigan Center for Translational Pathology, Michigan Medicine, Ann Arbor, MI
- Department of Pathology, Michigan Medicine, Ann Arbor, MI
| | | | | | - Zayne Knuth
- Department of Urology, Michigan Medicine, Ann Arbor, MI
| | - Fengyun Su
- Michigan Center for Translational Pathology, Michigan Medicine, Ann Arbor, MI
- Department of Pathology, Michigan Medicine, Ann Arbor, MI
| | - Amy Kasputis
- Department of Urology, Michigan Medicine, Ann Arbor, MI
| | - Yuping Zhang
- Michigan Center for Translational Pathology, Michigan Medicine, Ann Arbor, MI
- Department of Pathology, Michigan Medicine, Ann Arbor, MI
| | - Rui Wang
- Michigan Center for Translational Pathology, Michigan Medicine, Ann Arbor, MI
- Department of Pathology, Michigan Medicine, Ann Arbor, MI
| | - Xuhong Cao
- Michigan Center for Translational Pathology, Michigan Medicine, Ann Arbor, MI
- Department of Pathology, Michigan Medicine, Ann Arbor, MI
- Howard Hughes Medical Institute, University of Michigan, Ann Arbor, MI
| | - Aaron M Udager
- University of Michigan Rogel Cancer Center, Ann Arbor, MI
- Michigan Center for Translational Pathology, Michigan Medicine, Ann Arbor, MI
- Department of Pathology, Michigan Medicine, Ann Arbor, MI
| | - Saravana M Dhanasekaran
- Michigan Center for Translational Pathology, Michigan Medicine, Ann Arbor, MI
- Department of Pathology, Michigan Medicine, Ann Arbor, MI
| | - Marcin P Cieslik
- Michigan Center for Translational Pathology, Michigan Medicine, Ann Arbor, MI
- Department of Pathology, Michigan Medicine, Ann Arbor, MI
- Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI
| | - Todd M Morgan
- University of Michigan Rogel Cancer Center, Ann Arbor, MI
- Department of Urology, Michigan Medicine, Ann Arbor, MI
| | - Simpa S Salami
- University of Michigan Rogel Cancer Center, Ann Arbor, MI
- Michigan Center for Translational Pathology, Michigan Medicine, Ann Arbor, MI
- Department of Urology, Michigan Medicine, Ann Arbor, MI
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Li J, Wei Y, Liu J, Cheng S, Zhang X, Qiu H, Li J, He C. Integrative analysis of metabolism subtypes and identification of prognostic metabolism-related genes for glioblastoma. Biosci Rep 2024; 44:BSR20231400. [PMID: 38419527 DOI: 10.1042/bsr20231400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 02/01/2024] [Accepted: 02/28/2024] [Indexed: 03/02/2024] Open
Abstract
Increasing evidence has demonstrated that cancer cell metabolism is a critical factor in tumor development and progression; however, its role in glioblastoma (GBM) remains limited. In the present study, we classified GBM into three metabolism subtypes (MC1, MC2, and MC3) through cluster analysis of 153 GBM samples from the RNA-sequencing data of The Cancer Genome Atlas (TCGA) based on 2752 metabolism-related genes (MRGs). We further explored the prognostic value, metabolic signatures, immune infiltration, and immunotherapy sensitivity of the three metabolism subtypes. Moreover, the metabolism scoring model was established to quantify the different metabolic characteristics of the patients. Results showed that MC3, which is associated with a favorable survival outcome, had higher proportions of isocitrate dehydrogenase (IDH) mutations and lower tumor purity and proliferation. The MC1 subtype, which is associated with the worst prognosis, shows a higher number of segments and homologous recombination defects and significantly lower mRNA expression-based stemness index (mRNAsi) and epigenetic-regulation-based mRNAsi. The MC2 subtype has the highest T-cell exclusion score, indicating a high likelihood of immune escape. The results were validated using an independent dataset. Five MRGs (ACSL1, NDUFA2, CYP1B1, SLC11A1, and COX6B1) correlated with survival outcomes were identified based on metabolism-related co-expression module analysis. Laboratory-based validation tests further showed the expression of these MRGs in GBM tissues and how their expression influences cell function. The results provide a reference for developing clinical management approaches and treatments for GBM.
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Affiliation(s)
- Jiahui Li
- Department of Rehabilitation Medicine, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, Jiangsu Province 215228, China
- Center of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210029, China
| | - Yutian Wei
- Neurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, 200433, China
| | - Jiali Liu
- Center of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210029, China
| | - Shupeng Cheng
- Center of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210029, China
| | - Xia Zhang
- Center of Rehabilitation Medicine, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shanxi Province 710054, China
| | - Huaide Qiu
- Faculty of Rehabilitation Science, Nanjing Normal University of Special Education, Nanjing, Jiangsu Province 210038, China
| | - Jianan Li
- Center of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210029, China
| | - Chuan He
- Department of Rehabilitation Medicine, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, Jiangsu Province 215228, China
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Bai J, Lu Q, Wen Y, Shangguan T, Ye Y, Lin J, Liu R, Cai W, Chen J. Development and validation of a nomogram for predicting the impact of tumor size on cancer-specific survival of locally advanced renal cell carcinoma: a SEER-based study. Aging (Albany NY) 2024; 16:3823-3836. [PMID: 38376430 PMCID: PMC10929802 DOI: 10.18632/aging.205562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 01/08/2024] [Indexed: 02/21/2024]
Abstract
This study was aimed to integrate tumor size with other prognostic factors into a prognostic nomogram to predict cancer-specific survival (CSS) in locally advanced (≥pT3a Nany M0) renal cell carcinoma (RCC) patients. Based on the Surveillance, Epidemiology, and End Results (SEER) database, 10,800 patients diagnosed with locally advanced RCC were collected. They were randomly divided into a training cohort (n = 7,056) and a validation cohort (n = 3,024). X-tile program was used to identify the optimal cut-off value of tumor size and age. The cut-off of age at diagnosis was 65 years old and 75 years old. The cut-off of tumor size was 54 mm and 119 mm. Univariate and multivariate Cox regression analyses were performed in the training cohort to identify independent prognostic factors for construction of nomogram. Then, the nomogram was used to predict the 1-, 3- and 5-year CSS. The performance of nomogram was evaluated by using concordance index (C-index), area under the Subject operating curve (AUC) and decision curve analysis (DCA). Moreover, the nomogram and tumor node metastasis (TNM) staging system (AJCC 8th edition) were compared. 10 variables were screened to develop the nomogram. The area under the receiver operating characteristic (ROC) curve (AUC) indicated satisfactory ability of the nomogram. Compared with the AJCC 8th edition of TNM stage, DCA showed that the nomogram had improved performance. We developed and validated a nomogram for predicting the CSS of patients with locally advanced RCC, which was more precise than the AJCC 8th edition of TNM staging system.
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Affiliation(s)
- Junjie Bai
- Department of Urology, Fujian Medical University Union Hospital, Fuzhou, China
- The Graduate School of Fujian Medical University, Fuzhou, China
| | - Qing Lu
- Department of Urology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Yahui Wen
- The Graduate School of Fujian Medical University, Fuzhou, China
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
- Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Tong Shangguan
- Department of Urology, Fujian Medical University Union Hospital, Fuzhou, China
- The Graduate School of Fujian Medical University, Fuzhou, China
| | - Yushi Ye
- Department of Urology, Fujian Medical University Union Hospital, Fuzhou, China
- The Graduate School of Fujian Medical University, Fuzhou, China
| | - Jun Lin
- Department of Urology, Fujian Medical University Union Hospital, Fuzhou, China
- The Graduate School of Fujian Medical University, Fuzhou, China
| | - Rong Liu
- Department of Urology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Weizhong Cai
- Department of Urology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Jianhui Chen
- Department of Urology, Fujian Medical University Union Hospital, Fuzhou, China
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10
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Gao H, Sun H, He A, Liu H, Zhang Z, Li D, Mao W, Qian J. Single-cell combined bioinformatics analysis: construction of immune cluster and risk prognostic model in kidney renal clear cells based on CD8 + T cell-associated genes. Eur J Med Res 2024; 29:89. [PMID: 38291496 PMCID: PMC10825992 DOI: 10.1186/s40001-024-01689-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 01/18/2024] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND Kidney cancer is an immunogenic solid tumor, characterized by high tumor burden and infiltration of CD8+ T cells. Although immunotherapy targeting the PD1/CTLA-4 axis has demonstrated excellent clinical efficacy, clinical outcomes in most patients are poor. METHODS We used the RNA sequencing data from the GEO database for KIRC GSE121636 and normal kidney tissue GSE131685, and performed single-cell analysis for cluster identification, pathway enrichment, and CD8+ T cell-associated gene identification. Subsequently, the significance of different CD8+ T-cell associated gene subtypes was elucidated by consensus clustering, pathway analysis, mutated gene analysis, and KIRC immune microenvironment analysis in the TCGA-KIRC disease cohort. Single gene analysis identified LAG3 as the most critical CD8+ T-cell-associated gene and its function was verified by cell phenotype and immunohistochemistry in KIRC. RESULTS In the present study, CD8+ T-cell associated genes in KIRC were screened, including GZMK, CD27, CCL4L2, FXYD2, LAG3, RGS1, CST7, DUSP4, CD8A, and TRBV20-1 and an immunological risk prognostic model was constructed (risk score = - 0.291858656434841*GZMK - 0.192758342489394*FXYD2 + 0.625023643446193*LAG3 + 0.161324477181591*RGS1 - 0.380169045328895*DUSP4 - 0.107221347575037*TRBV20-1). LAG3 was identified and proved as the most critical CD8+ T cell-associated gene in KIRC. CONCLUSION We proposed and constructed an immunological risk prognostic model for CD8+ T cell-associated genes and identified LAG3 as a pivotal gene for KIRC progression and CD8+ T-cell infiltration. The model comprehensively explained the immune microenvironment and provided novel immune-related therapeutic targets and biomarkers in KIRC.
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Affiliation(s)
- Haifeng Gao
- Department of Urology, Binhai County People's Hospital, Yancheng, 224000, China
| | - Hang Sun
- Department of Urology, Binhai County People's Hospital, Yancheng, 224000, China
| | - Aifeng He
- Department of Emergency, Binhai County People's Hospital, Yancheng, 224000, China
| | - Hui Liu
- Department of Urology, Binhai County People's Hospital, Yancheng, 224000, China
| | - Zihang Zhang
- Department of Pathology, Binhai County People's Hospital, Yancheng, 224000, China
| | - Dongling Li
- Department of Nephrology, Binhai County People's Hospital, Yancheng, 224000, China
| | - Weipu Mao
- Department of Urology, Zhongda Hospital Southeast University, 87 Dingjia Bridge Hunan Road, Nanjing, 210009, China.
| | - Jinke Qian
- Department of Urology, Binhai County People's Hospital, Yancheng, 224000, China.
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11
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Mei S, Alchahin AM, Tsea I, Kfoury Y, Hirz T, Jeffries NE, Zhao T, Xu Y, Zhang H, Sarkar H, Wu S, Subtelny AO, Johnsen JI, Zhang Y, Salari K, Wu CL, Randolph MA, Scadden DT, Dahl DM, Shin J, Kharchenko PV, Saylor PJ, Sykes DB, Baryawno N. Single-cell analysis of immune and stroma cell remodeling in clear cell renal cell carcinoma primary tumors and bone metastatic lesions. Genome Med 2024; 16:1. [PMID: 38281962 PMCID: PMC10823713 DOI: 10.1186/s13073-023-01272-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 12/11/2023] [Indexed: 01/30/2024] Open
Abstract
BACKGROUND Despite therapeutic advances, once a cancer has metastasized to the bone, it represents a highly morbid and lethal disease. One third of patients with advanced clear cell renal cell carcinoma (ccRCC) present with bone metastasis at the time of diagnosis. However, the bone metastatic niche in humans, including the immune and stromal microenvironments, has not been well-defined, hindering progress towards identification of therapeutic targets. METHODS We collected fresh patient samples and performed single-cell transcriptomic profiling of solid metastatic tissue (Bone Met), liquid bone marrow at the vertebral level of spinal cord compression (Involved), and liquid bone marrow from a different vertebral body distant from the tumor site but within the surgical field (Distal), as well as bone marrow from patients undergoing hip replacement surgery (Benign). In addition, we incorporated single-cell data from primary ccRCC tumors (ccRCC Primary) for comparative analysis. RESULTS The bone marrow of metastatic patients is immune-suppressive, featuring increased, exhausted CD8 + cytotoxic T cells, T regulatory cells, and tumor-associated macrophages (TAM) with distinct transcriptional states in metastatic lesions. Bone marrow stroma from tumor samples demonstrated a tumor-associated mesenchymal stromal cell population (TA-MSC) that appears to be supportive of epithelial-to mesenchymal transition (EMT), bone remodeling, and a cancer-associated fibroblast (CAFs) phenotype. This stromal subset is associated with poor progression-free and overall survival and also markedly upregulates bone remodeling through the dysregulation of RANK/RANKL/OPG signaling activity in bone cells, ultimately leading to bone resorption. CONCLUSIONS These results provide a comprehensive analysis of the bone marrow niche in the setting of human metastatic cancer and highlight potential therapeutic targets for both cell populations and communication channels.
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Affiliation(s)
- Shenglin Mei
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.
| | - Adele M Alchahin
- Childhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, 17176, Stockholm, Sweden
| | - Ioanna Tsea
- Childhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, 17176, Stockholm, Sweden
| | - Youmna Kfoury
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Taghreed Hirz
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Nathan Elias Jeffries
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Ting Zhao
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Yanxin Xu
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
| | - Hanyu Zhang
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Hirak Sarkar
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA
| | - Shulin Wu
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Alexander O Subtelny
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - John Inge Johnsen
- Childhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, 17176, Stockholm, Sweden
| | - Yida Zhang
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA
| | - Keyan Salari
- Department of Urology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Chin-Lee Wu
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Mark A Randolph
- Division of Plastic and Reconstructive Surgery, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - David T Scadden
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Douglas M Dahl
- Department of Urology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - John Shin
- Department of Neurosurgery, Harvard Medical School, Boston, MA, 02115, USA.
| | - Peter V Kharchenko
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA.
- Present: Altos Labs, San Diego, CA, 92121, USA.
| | - Philip J Saylor
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, 02114, USA.
| | - David B Sykes
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.
- Harvard Stem Cell Institute, Cambridge, MA, 02138, USA.
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA.
| | - Ninib Baryawno
- Childhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institutet, 17176, Stockholm, Sweden.
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12
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Panebianco M, Ciccarese C, Strusi A, Beccia V, Carbone C, Agostini A, Piro G, Tortora G, Iacovelli R. The Role of the Complement in Clear Cell Renal Carcinoma (ccRCC)-What Future Prospects Are There for Its Use in Clinical Practice? Cancers (Basel) 2024; 16:490. [PMID: 38339243 PMCID: PMC10854780 DOI: 10.3390/cancers16030490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 01/12/2024] [Accepted: 01/18/2024] [Indexed: 02/12/2024] Open
Abstract
In recent years, the first-line available therapeutic options for metastatic renal cell carcinoma (mRCC) have radically changed with the introduction into clinical practice of new immune checkpoint inhibitor (ICI)-based combinations. Many efforts are focusing on identifying novel prognostic and predictive markers in this setting. The complement system (CS) plays a central role in promoting the growth and progression of mRCC. In particular, mRCC has been defined as an "aggressive complement tumor", which encompasses a group of malignancies with poor prognosie and highly expressed complement components. Several preclinical and retrospective studies have demonstrated the negative prognostic role of the complement in mRCC; however, there is little evidence on its possible role as a predictor of the response to ICIs. The purpose of this review is to explore more deeply the physio-pathological role of the complement in the development of RCC and its possible future use in clinical practice as a prognostic and predictive factor.
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Affiliation(s)
- Martina Panebianco
- Medical Oncology, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (M.P.); (C.C.); (C.C.); (A.A.); (G.P.); (G.T.)
| | - Chiara Ciccarese
- Medical Oncology, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (M.P.); (C.C.); (C.C.); (A.A.); (G.P.); (G.T.)
| | - Alessandro Strusi
- Medical Oncology, Department of Translational Medicine and Surgery, Catholic University of the Sacred Heart, 00168 Rome, Italy; (A.S.); (V.B.)
| | - Viria Beccia
- Medical Oncology, Department of Translational Medicine and Surgery, Catholic University of the Sacred Heart, 00168 Rome, Italy; (A.S.); (V.B.)
| | - Carmine Carbone
- Medical Oncology, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (M.P.); (C.C.); (C.C.); (A.A.); (G.P.); (G.T.)
| | - Antonio Agostini
- Medical Oncology, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (M.P.); (C.C.); (C.C.); (A.A.); (G.P.); (G.T.)
| | - Geny Piro
- Medical Oncology, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (M.P.); (C.C.); (C.C.); (A.A.); (G.P.); (G.T.)
| | - Giampaolo Tortora
- Medical Oncology, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (M.P.); (C.C.); (C.C.); (A.A.); (G.P.); (G.T.)
- Medical Oncology, Department of Translational Medicine and Surgery, Catholic University of the Sacred Heart, 00168 Rome, Italy; (A.S.); (V.B.)
| | - Roberto Iacovelli
- Medical Oncology, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (M.P.); (C.C.); (C.C.); (A.A.); (G.P.); (G.T.)
- Medical Oncology, Department of Translational Medicine and Surgery, Catholic University of the Sacred Heart, 00168 Rome, Italy; (A.S.); (V.B.)
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13
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Liu S. Bioinformatics analysis identifies GLUD1 as a prognostic indicator for clear cell renal cell carcinoma. Eur J Med Res 2024; 29:70. [PMID: 38245763 PMCID: PMC10799526 DOI: 10.1186/s40001-024-01649-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 01/08/2024] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND Renal cell carcinoma (RCC) is a common primary tumor of the kidney and is divided into three major subtypes, of which clear cell renal cell carcinoma (ccRCC) has the highest incidence. Glutamate dehydrogenase 1 (GLUD1) encodes glutamate dehydrogenase 1, which catalyzes the oxidative deamination of glutamate. METHODS We analyzed TCGA data using R language software and used multiple online databases to explore the relationship of GLUD1 with signaling pathways and drug sensitivity as well as GLUD1 protein expression and methylation. RESULTS The results showed that GLUD1 mRNA expression was reduced in tumor tissues and correlated with the progression of ccRCC. Univariate and multivariate Cox analysis showed that GLUD1 could be used as a prognostic marker for ccRCC. GLUD1 expression in ccRCC was associated with immune cells infiltration and multiple classical signaling pathways. In addition, GLUD1 mRNA expression was related to drug sensitivity. CONCLUSIONS These findings provide new ideas for finding new prognostic molecular markers and therapeutic targets for ccRCC.
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Affiliation(s)
- Shuang Liu
- Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, People's Republic of China.
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14
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Liu Y, Wu G. The utilization of single-cell sequencing technology in investigating the immune microenvironment of ccRCC. Front Immunol 2023; 14:1276658. [PMID: 38090562 PMCID: PMC10715415 DOI: 10.3389/fimmu.2023.1276658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 11/07/2023] [Indexed: 12/18/2023] Open
Abstract
The growth and advancement of ccRCC are strongly associated with the presence of immune infiltration and the tumor microenvironment, comprising tumor cells, immune cells, stromal cells, vascular cells, myeloid-derived cells, and extracellular matrix (ECM). Nevertheless, as a result of the diverse and constantly evolving characteristics of the tumor microenvironment, prior advanced sequencing methods have frequently disregarded specific less prevalent cellular traits at varying intervals, thereby concealing their significance. The advancement and widespread use of single-cell sequencing technology enable us to comprehend the source of individual tumor cells and the characteristics of a greater number of individual cells. This, in turn, minimizes the impact of intercellular heterogeneity and temporal heterogeneity of the same cell on experimental outcomes. This review examines the attributes of the tumor microenvironment in ccRCC and provides an overview of the progress made in single-cell sequencing technology and its particular uses in the current focus of immune infiltration in ccRCC.
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Affiliation(s)
| | - Guangzhen Wu
- Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, China
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15
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Zhong G, Wu D, Chen H, Yan L, Xiang Q, Liu Y, Wang T. Multi-omics Analysis of Prognostic Significance and Immune Infiltration of FASTK Family Members in Kidney Renal Clear Cell Carcinoma. Evol Bioinform Online 2023; 19:11769343231212078. [PMID: 38033663 PMCID: PMC10683404 DOI: 10.1177/11769343231212078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 10/18/2023] [Indexed: 12/02/2023] Open
Abstract
Objective The Fas-activated serine/threonine kinase (FASTK) family of proteins has been recently found to be able to regulate mitochondrial gene expression post-transcriptionally. Nonetheless, there is a paucity of study about the role of the FASTK family in kidney renal clear cell carcinoma (KIRC). This study was conducted to explore the correlation of FASTK family genes with expression, prognosis, and immune infiltration in KIRC. Methods We collected the data from the UALCAN, GeneMANIA, STRING, CancerSEA, cBioPortal, Kaplan-Meier plotter, GEPIA, TISIDB and TIMER databases to evaluate the genetic alterations, differential expression, prognostic significance, and immune cell infiltration of FASTKs in patients with KIRC. Results In tumor tissues of KIRC, the mRNA expression level of FASTK and TBRG4 was elevated, whereas that of FASTKD1, FASTKD2, and FASTKD5 was lowered compared with normal tissues (P < .05). Patients with KIRC and high FASTK and Transforming growth factor β regulator 4 (TBRG4) expression had worse overall survival (OS) and disease specific survival (DFS), while those with lower expression of FASTKD2/3/5 had worse outcomes. FASTK was positively correlated with DNA damage. FASTKD1 was positively related to differentiation. FASTKD2 was inversely related to proliferation and FASTKD5 was inversely related to invasion and EMT in KIRC cells. FASTK expression in KIRC was inversely linked to the presence of several immune cells including Tgd, macrophages, Tcm, and Mast cells (P < .05). Conclusions Our research provided fresh insight and in-depth analysis to the selection of prognostic biological markers of FASTK family members in KIRC.
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Affiliation(s)
- Guanghui Zhong
- Department of Urology, The Fifth Affiliated Hospital, Southern Medical University, Guangzhou, China
| | - Dali Wu
- Department of Urology, The Fifth Affiliated Hospital, Southern Medical University, Guangzhou, China
| | - Haiping Chen
- Department of Urology, The Fifth Affiliated Hospital, Southern Medical University, Guangzhou, China
| | - Lingfei Yan
- Department of Urology, The Fifth Affiliated Hospital, Southern Medical University, Guangzhou, China
| | - Qi Xiang
- Department of Urology, The Fifth Affiliated Hospital, Southern Medical University, Guangzhou, China
| | - Yufeng Liu
- Department of Urology, The Fifth Affiliated Hospital, Southern Medical University, Guangzhou, China
| | - Tao Wang
- Department of Urology, The Fifth Affiliated Hospital, Southern Medical University, Guangzhou, China
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16
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Huang Q, Li F, Liu L, Xu R, Yang T, Ma X, Zhang H, Zhou Y, Shao Y, Wang Q, Xi H, Ding Y. Construction of EMT related prognostic signature for kidney renal clear cell carcinoma, through integrating bulk and single-cell gene expression profiles. Front Pharmacol 2023; 14:1302142. [PMID: 38035023 PMCID: PMC10684753 DOI: 10.3389/fphar.2023.1302142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 11/01/2023] [Indexed: 12/02/2023] Open
Abstract
Introduction: Kidney renal clear cell carcinoma (KIRC), as a main type of malignant kidney cancers, has a poor prognosis. Epithelial-mesenchymal transformation (EMT) exerts indispensable role in tumor progression and metastasis, including in KIRC. This study aimed to mine more EMT related details and build prognostic signature for KIRC. Methods: The KIRC scRNA-seq data and bulk data were downloaded from GEO and TCGA databases, respectively. The cell composition in KIRC was calculated using CIBERSORT. Univariate Cox regression analysis and LASSO Cox regression analysis were combined to determine the prognostic genes. Gene set variation analysis and cell-cell communication analysis were conducted to obtain more functional information. Additionally, functional analyses were conducted to determine the biological roles of si-LGALS1 in vitro. Results: We totally identified 2,249 significant differentially expressed genes (DEGs) in KIRC samples, meanwhile a significant distinct expression pattern was found in KIRC, involving Epithelial Mesenchymal Transition pathway. Among all cell types, significantly higher proportion of epithelial cells were observed in KIRC, and 289 DEGs were identified in epithelial cells. After cross analysis of all DEGs and 970 EMT related genes, SPARC, TMSB10, LGALS1, and VEGFA were optimal to build prognostic model. Our EMT related showed good predictive performance in KIRC. Remarkably, si-LGALS1 could inhibit migration and invasion ability of KIRC cells, which might be involved in suppressing EMT process. Conclusion: A novel powerful EMT related prognostic signature was built for KIRC patients, based on SPARC, TMSB10, LGALS1, and VEGFA. Of which, si-LGALS1 could inhibit migration and invasion ability of KIRC cells, which might be involved in suppressing EMT process.
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Affiliation(s)
- Qi Huang
- Institute of Medical Sciences, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Feiyu Li
- Department of Urology, The 942 Hospital of PLA, Yinchuan, China
| | - Li Liu
- Department of Urology, The 942 Hospital of PLA, Yinchuan, China
| | - Rui Xu
- Department of Laser, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Tao Yang
- Department of Urology, The 942 Hospital of PLA, Yinchuan, China
| | - Xiaoyun Ma
- Department of Urology, The 942 Hospital of PLA, Yinchuan, China
| | - Hongmei Zhang
- Department of Urology, The 942 Hospital of PLA, Yinchuan, China
| | - Yan Zhou
- Department of Urology, The 942 Hospital of PLA, Yinchuan, China
| | - Yongxiang Shao
- Department of Urology, The 942 Hospital of PLA, Yinchuan, China
| | - Qiaofeng Wang
- Department of Urology, The 942 Hospital of PLA, Yinchuan, China
| | - Haifeng Xi
- Department of Urology, The 942 Hospital of PLA, Yinchuan, China
| | - Yancai Ding
- Department of Urology, The 942 Hospital of PLA, Yinchuan, China
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17
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de Vries-Brilland M, Rioux-Leclercq N, Meylan M, Dauvé J, Passot C, Spirina-Menand E, Flippot R, Fromont G, Gravis G, Geoffrois L, Chevreau C, Rolland F, Blanc E, Lefort F, Ravaud A, Gross-Goupil M, Escudier B, Negrier S, Albiges L. Comprehensive analyses of immune tumor microenvironment in papillary renal cell carcinoma. J Immunother Cancer 2023; 11:e006885. [PMID: 37935564 PMCID: PMC10649801 DOI: 10.1136/jitc-2023-006885] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/19/2023] [Indexed: 11/09/2023] Open
Abstract
BACKGROUND Papillary renal cell carcinoma (pRCC) is the most common non-clear cell RCC, and associated with poor outcomes in the metastatic setting. In this study, we aimed to comprehensively evaluate the immune tumor microenvironment (TME), largely unknown, of patients with metastatic pRCC and identify potential therapeutic targets. METHODS We performed quantitative gene expression analysis of TME using Microenvironment Cell Populations-counter (MCP-counter) methodology, on two independent cohorts of localized pRCC (n=271 and n=98). We then characterized the TME, using immunohistochemistry (n=38) and RNA-sequencing (RNA-seq) (n=30) on metastatic pRCC from the prospective AXIPAP trial cohort. RESULTS Unsupervised clustering identified two "TME subtypes", in each of the cohorts: the "immune-enriched" and the "immune-low". Within AXIPAP trial cohort, the "immune-enriched" cluster was significantly associated with a worse prognosis according to the median overall survival to 8 months (95% CI, 6 to 29) versus 37 months (95% CI, 20 to NA, p=0.001). The two immune signatures, Teff and JAVELIN Renal 101 Immuno signature, predictive of response to immune checkpoint inhibitors (CPI) in clear cell RCC, were significantly higher in the "immune-enriched" group (adjusted p<0.05). Finally, five differentially overexpressed genes were identified, corresponding mainly to B lymphocyte populations. CONCLUSION For the first time, using RNA-seq and immunohistochemistry, we have highlighted a specific immune TME subtype of metastatic pRCC, significantly more infiltrated with T and B immune population. This "immune-enriched" group appears to have a worse prognosis and could have a potential predictive value for response to immunotherapy, justifying the confirmation of these results in a cohort of metastatic pRCC treated with CPI and in combination with targeted therapies. TRIAL REGISTRATION NUMBER NCT02489695.
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Affiliation(s)
- Manon de Vries-Brilland
- Department of Medical Oncology, Integrated Centers of Oncology (ICO) Paul Papin, Angers, France
| | | | - Maxime Meylan
- Equipe inflammation, complément et cancer, Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, Université Paris-Cité, Paris, France
| | - Jonathan Dauvé
- Department of Clinical Biology, Integrated Centers of Oncology (ICO) Paul Papin, Angers, France
| | - Christophe Passot
- Department of Clinical Biology, Integrated Centers of Oncology (ICO) Paul Papin, Angers, France
| | - Elena Spirina-Menand
- Department of Clinical Biology, Integrated Centers of Oncology (ICO) Paul Papin, Angers, France
| | - Ronan Flippot
- Medical Oncology, Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | | | | | - Lionnel Geoffrois
- Department of Medical Oncology, Institut de Cancérologie de Lorraine, Vandoeuvre-les-Nancy, France
| | - Christine Chevreau
- Department of Medical Oncology, IUCT-Oncopôle Institut Claudius Regaud, Toulouse, France
| | - Fréderic Rolland
- Department of Medical Oncology, Integrated Centers of Oncology (ICO) René Gauducheau, Nantes, France
| | - Ellen Blanc
- Department of Clinical Research and Innovation, Centre Léon Bérard, Lyon, France
| | - Félix Lefort
- Department of Medical Oncology, University Hospital of Bordeaux, Bordeaux, France
| | - Alain Ravaud
- Department of Medical Oncology, University Hospital of Bordeaux, Bordeaux, France
| | - Marine Gross-Goupil
- Department of Medical Oncology, University Hospital of Bordeaux, Bordeaux, France
| | - Bernard Escudier
- Medical Oncology, Gustave Roussy, Université Paris-Saclay, Villejuif, France
- U1015 INSERM, Gustave Roussy Cancer Campus, Paris-Saclay University, Villejuif, France
| | - Sylvie Negrier
- Department of Medical Oncology, Lyon I University, Lyon, France
| | - Laurence Albiges
- Medical Oncology, Gustave Roussy, Université Paris-Saclay, Villejuif, France
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Shigemura T, Perrot N, Huang Z, Bhatt RS, Sheshdeh AB, Ahmar NE, Ghandour F, Signoretti S, McDermott DF, Freeman GJ, Mahoney KM. Regulation of HHLA2 expression in kidney cancer and myeloid cells. BMC Cancer 2023; 23:1039. [PMID: 37891555 PMCID: PMC10605970 DOI: 10.1186/s12885-023-11496-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 10/09/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND The immune checkpoint HERV-H LTR-associating 2 (HHLA2) is expressed in kidney cancer and various other tumor types. Therapeutics targeting HHLA2 or its inhibitory receptor KIR3DL3 are being developed for solid tumors, including renal cell carcinoma (RCC). However, the regulation of HHLA2 expression remains poorly understood. A better understanding of HHLA2 regulation in tumor cells and the tumor microenvironment is crucial for the successful translation of these therapeutic agents into clinical applications. METHODS Flow cytometry and quantitative real-time PCR were used to analyze HHLA2 expression in primary kidney tumors ex vivo and during in vitro culture. HHLA2 expression in A498 and 786-O ccRCC cell lines was examined in vitro and in subcutaneous tumor xenografts in NSG mice. Monocytes and dendritic cells were analyzed for HHLA2 expression. We tested a range of cytokines and culture conditions, including hypoxia, to induce HHLA2 expression. RESULTS Analysis of HHLA2 expression revealed that HHLA2 is expressed on tumor cells in primary kidney tumors ex vivo; however, its expression gradually diminishes during a 4-week in vitro culture period. A498 and 786-O ccRCC tumor cell lines do not express HHLA2 in vitro, but HHLA2 expression was observed when grown as subcutaneous xenografts in NSG immunodeficient mice. Induction experiments using various cytokines and culture conditions failed to induce HHLA2 expression in A498 and 786-O tumor cell lines in vitro. Analysis of HHLA2 expression in monocytes and dendritic cells demonstrated that only IL-10 and BMP4, along with IL-1β and IL-6 to a lesser extent, modestly enhanced HHLA2 protein and mRNA expression. CONCLUSIONS HHLA2 expression is induced on kidney cancer cells in vivo by a tumor microenvironmental signal that is not present in vitro. HHLA2 expression is differentially regulated in kidney cancer epithelial cells and monocytes. Cytokines, particularly IL10, that induce HHLA2 expression in monocytes fail to upregulate HHLA2 expression in tumor cell lines in vitro. These findings underscore the importance of the interplay between tumor cell and tumor microenvironmental signals in the regulation of HHLA2. Further investigation is warranted to elucidate the mechanisms involved in HHLA2 regulation and its implications for therapeutic development.
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Affiliation(s)
- Tomonari Shigemura
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Ave., Boston, MA, 02215, USA
| | - Nahuel Perrot
- Department of Medicine, Division of Medical Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA, 02215, USA
| | - Zimo Huang
- Department of Medicine, Division of Medical Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA, 02215, USA
| | - Rupal S Bhatt
- Department of Medicine, Division of Medical Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA, 02215, USA
| | - Aseman Bagheri Sheshdeh
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, Boston, MA, 02115, USA
| | - Nourhan El Ahmar
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, Boston, MA, 02115, USA
| | - Fatme Ghandour
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, Boston, MA, 02115, USA
| | - Sabina Signoretti
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, Boston, MA, 02115, USA
| | - David F McDermott
- Department of Medicine, Division of Medical Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA, 02215, USA
| | - Gordon J Freeman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Ave., Boston, MA, 02215, USA.
| | - Kathleen M Mahoney
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Ave., Boston, MA, 02215, USA.
- Department of Medicine, Division of Medical Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA, 02215, USA.
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Cochran AG, Flynn M. GNE-235: A Lead Compound Selective for the Second Bromodomain of PBRM1. J Med Chem 2023; 66:13116-13134. [PMID: 37702400 DOI: 10.1021/acs.jmedchem.3c01149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/14/2023]
Abstract
Bromodomains are acetyl-lysine binding modules that are found in different classes of chromatin-interacting proteins. Among these are large chromatin remodeling complexes such as BAF and PBAF (variants of human SWI/SNF). Previous work has identified chemical probes targeting a subset of the bromodomains present in the BAF and PBAF complexes. Selective inhibitors of the individual bromodomains have proven challenging to discover, as the domains are highly similar. Here, elaboration of an aminopyridazine scaffold used previously to develop probes for the bromodomains of SMARCA2, SMARCA4, and the fifth bromodomain of PBRM1 yielded compounds with both potency and unusual selectivity for the second bromodomain of PBRM1. One of these, GNE-235, and its enantiomer control GNE-234 are suggested for initial cellular investigations of the function of the second bromodomain of PBRM1.
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Affiliation(s)
- Andrea G Cochran
- Department of Biological Chemistry, Genentech, Inc., South San Francisco, California 94080, United States
| | - Megan Flynn
- Department of Biological Chemistry, Genentech, Inc., South San Francisco, California 94080, United States
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20
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Kozman D, Kao CS, Nguyen JK, Smith SC, Kehr EL, Tretiakova M, Przybycin CG, Williamson SR, Argani P, Eng C, Campbell SC, McKenney JK, Alaghehbandan R. Renal Neoplasia Occurring in Patients With PTEN Hamartoma Tumor Syndrome : Clinicopathologic Study of 12 Renal Cell Carcinomas From 9 Patients and Association With Intrarenal "Lipomas". Am J Surg Pathol 2023; 47:1001-1010. [PMID: 37357918 DOI: 10.1097/pas.0000000000002079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Abstract
The aim of this study was to assess the histopathologic spectrum of renal tumors in patients with PTEN hamartoma tumor syndrome (PHTS), with a specific focus on potential features predictive of the underlying syndrome. A multi-institutional study was conducted to obtain clinical and pathologic data on renal tumors arising in patients with PHTS, either diagnosed by germline mutational analysis or clinical criteria for Cowden syndrome. Histologic sections of the renal tumors were re-reviewed for classification. Twelve renal epithelial tumors from 9 patients were identified (4 males and 5 females, with a mean age of 41.8 y), 7 of whom carried germline PTEN mutations. All 12 renal epithelial tumors were renal cell carcinomas (RCCs): 5 were chromophobe RCCs, 4 papillary RCCs, and 3 RCC not otherwise specified. Pathologic stage distribution was: 7 (59%) pT1a, 2 (17%) pT1b, 1 (8%) pT2a, 1 (8%) pT2b, and 1 (8%) pT3a. World Health Organization/International Society of Urological Pathology (WHO/ISUP) histologic grade was applicable in 7 (54%) nonchromophobe tumors: 4 (57%) G2, 2 (29%) G3, and 1 (14%) G4. An unexpected histologic finding was the presence of 2 patients with incidental microscopic collections of intrarenal adipocytes that had no features of angiomyolipoma (and were negative with 2 sensitive PEComa markers: cathepsin-K and GPNMB); both were classified as lipoma/"lipomatous hamartomas." The average follow-up interval was 67.8 months (13 to 172 mo): 5 patients had no evidence of disease, 2 were lost to follow-up, 1 died of other (non-PHTS) causes (ie, prostate cancer), and 1 was alive with metastatic RCC to the lung (RCC not otherwise specified with rhabdoid differentiation). All tumors showed loss of nuclear PTEN staining by immunohistochemistry. Fumarate hydratase was retained and 2SC was negative in all papillary RCCs. CK7 was moderate-strong/diffuse positive in 4 of 5 chromophobe RCCs and in 3 of 4 papillary RCCs. Renal epithelial tumors associated with PHTS represent a heterogeneous group of RCCs, but classic chromophobe and papillary RCC are most common. The majority have a favorable clinical behavior as would be predicted by subtype. In contrast to other hereditary renal neoplasia syndromes, morphologic features of the RCCs do not allow identification of PHTS-associated neoplasia with any degree of specificity in the absence of clinical setting and/or prior history, but the presence of microscopic "lipomas" within the kidney may provide a clue in rare cases. Therefore, clinical suspicion and genetic counseling with germline testing remain necessary for identifying PHTS-associated RCC.
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Affiliation(s)
- Diana Kozman
- Robert J. Tomsich Pathology and Laboratory Medicine Institute
| | - Chia-Sui Kao
- Department of Pathology, Stanford Medical Center, Stanford, CA
| | - Jane K Nguyen
- Robert J. Tomsich Pathology and Laboratory Medicine Institute
| | - Steven C Smith
- Departments of Departments of Pathology, Urology, and Massey Cancer Center, VCU School of Medicine
- Richmond VA Medical Center, Richmond, VA
| | | | - Maria Tretiakova
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA
| | | | | | - Pedram Argani
- Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD
| | | | - Steven C Campbell
- Section of Urologic Oncology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
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21
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Yang H, Zhang H, Zhang L, Tusuphan P, Zheng J. ARHGAP11A Is a Novel Prognostic and Predictive Biomarker Correlated with Immunosuppressive Microenvironment in Clear Cell Renal Cell Carcinoma. Int J Mol Sci 2023; 24:ijms24097755. [PMID: 37175461 PMCID: PMC10178328 DOI: 10.3390/ijms24097755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 04/19/2023] [Accepted: 04/20/2023] [Indexed: 05/15/2023] Open
Abstract
Clear cell renal cell carcinoma (ccRCC) is a highly immunogenic tumor and immune dysfunction is associated with ccRCC poor prognosis. The RhoGTPase-activating proteins (RhoGAPs) family was reported to affect ccRCC development, but its role in immunity and prognosis prediction for ccRCC remain unknown. In the current study, we found ARHGAP11A was the only independent risk factor among 33 RhoGAPs (hazard ratio [HR] 1.949, 95% confidence interval [CI] 1.364-2.785). High ARHGAP11A level was associated with shorter overall survival (OS, HR 2.040, 95% CI 1.646-3.417) and ARHGAP11A is a prognostic biomarker for ccRCC. ARHGAP11A knockdown suppressed renal cell carcinoma (RCC) cell proliferation, colony formation, and migration, suggesting the promoting role of ARHGAP11A on RCC development. Mechanistically, ARHGAP11A might contribute to the suppressive tumor immune microenvironment (TIME). High ARHGAP11A level was correlated with infiltration of immunosuppressive cells (including T helper 2 (Th2) cells, regulatory T (Treg) cells, myeloid derived suppressor cells (MDSC), and M2 macrophage cells), activation of immunosuppressive pathways (IL6-JAK-STAT3 signaling and IFNγ response), and expression of inhibitory immune checkpoints (ICs). ARHGAP11A could promote T cell exhaustion and induce immune escape. ccRCC patients with low ARHGAP11A level were more suitable for immune checkpoint inhibitors (ICIs) therapy, while those with high ARHGAP11A level might benefit from a combination of ARHGAP11A blockade and ICIs. In all, ARHGAP11A might serve as a novel prognostic marker, therapeutic target, and predictor in the clinical response to ICIs therapy for ccRCC.
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Affiliation(s)
- Huihui Yang
- Beijing Key Laboratory of Cancer Invasion and Metastasis Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing100069, China
| | - Hongning Zhang
- Department of Pharmacology, School of Basic Medical Sciences, Capital Medical University, Beijing100069, China
| | - Liuxu Zhang
- Beijing Key Laboratory of Cancer Invasion and Metastasis Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing100069, China
| | - Paizigul Tusuphan
- Beijing Key Laboratory of Cancer Invasion and Metastasis Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing100069, China
| | - Junfang Zheng
- Beijing Key Laboratory of Cancer Invasion and Metastasis Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing100069, China
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22
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APPL1 Is a Prognostic Biomarker and Correlated with Treg Cell Infiltration via Oxygen-Consuming Metabolism in Renal Clear Cell Carcinoma. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2023; 2023:5885203. [PMID: 36846720 PMCID: PMC9957629 DOI: 10.1155/2023/5885203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 11/07/2022] [Accepted: 11/24/2022] [Indexed: 02/19/2023]
Abstract
Kidney renal clear cell carcinoma (KIRC) is one of the most hazardous tumors in the urinary system. The regulation of oxygen consumption in renal clear cell carcinoma is a consequence of adaptive reprogramming of oxidative metabolism in tumor cells. APPL1 is a signaling adaptor involved in cell survival, oxidative stress, inflammation, and energy metabolism. However, the correlation of APPL1 with regulatory T cell (Treg) infiltration and prognostic value in KIRC remain unclear. In this study, we comprehensively predicted the potential function and prognostic value of APPL1 in KIRC. For KIRC patients, relatively low expression of APPL1 was associated with high degree of metastasis, pathological stage, and shorter overall time or poor prognosis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses suggested that low expression of APPL1 may be adapted to the malignant progression of tumors via affecting oxygen-consuming metabolism. In addition, the expression level of APPL1 was negatively correlated with Treg cell infiltration and chemotherapy sensitivity, which indicated that APPL1 may regulate the tumor immune infiltration and chemotherapy resistance by decrease oxygen-consuming metabolic process in KIRC. Therefore, APPL1 may become one of the important prognostic factors, and it may serve as a candidate prognostic biomarker in KIRC.
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23
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Gene-Transcript Expression in Urine Supernatant and Urine Cell-Sediment Are Different but Equally Useful for Detecting Prostate Cancer. Cancers (Basel) 2023; 15:cancers15030789. [PMID: 36765747 PMCID: PMC9913640 DOI: 10.3390/cancers15030789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 01/19/2023] [Accepted: 01/21/2023] [Indexed: 02/02/2023] Open
Abstract
There is considerable interest in urine as a non-invasive liquid biopsy to detect prostate cancer (PCa). PCa-specific transcripts such as the TMPRSS2:ERG fusion gene can be found in both urine extracellular vesicles (EVs) and urine cell-sediment (Cell) but the relative usefulness of these and other genes in each fraction in PCa detection has not been fully elucidated. Urine samples from 76 men (PCa n = 40, non-cancer n = 36) were analysed by NanoString for 154 PCa-associated genes-probes, 11 tissue-specific, and six housekeeping. Comparison to qRT-PCR data for four genes (PCA3, OR51E2, FOLH1, and RPLP2) was strong (r = 0.51-0.95, Spearman p < 0.00001). Comparing EV to Cells, differential gene expression analysis found 57 gene-probes significantly more highly expressed in 100 ng of amplified cDNA products from the EV fraction, and 26 in Cells (p < 0.05; edgeR). Expression levels of prostate-specific genes (KLK2, KLK3) measured were ~20× higher in EVs, while PTPRC (white-blood Cells) was ~1000× higher in Cells. Boruta analysis identified 11 gene-probes as useful in detecting PCa: two were useful in both fractions (PCA3, HOXC6), five in EVs alone (GJB1, RPS10, TMPRSS2:ERG, ERG_Exons_4-5, HPN) and four from Cell (ERG_Exons_6-7, OR51E2, SPINK1, IMPDH2), suggesting that it is beneficial to fractionate whole urine prior to analysis. The five housekeeping genes were not significantly differentially expressed between PCa and non-cancer samples. Expression signatures from Cell, EV and combined data did not show evidence for one fraction providing superior information over the other.
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24
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Nassar AH, Abou Alaiwi S, Baca SC, Adib E, Corona RI, Seo JH, Fonseca MAS, Spisak S, El Zarif T, Tisza V, Braun DA, Du H, He M, Flaifel A, Alchoueiry M, Denize T, Matar SG, Acosta A, Shukla S, Hou Y, Steinharter J, Bouchard G, Berchuck JE, O'Connor E, Bell C, Nuzzo PV, Mary Lee GS, Signoretti S, Hirsch MS, Pomerantz M, Henske E, Gusev A, Lawrenson K, Choueiri TK, Kwiatkowski DJ, Freedman ML. Epigenomic charting and functional annotation of risk loci in renal cell carcinoma. Nat Commun 2023; 14:346. [PMID: 36681680 PMCID: PMC9867739 DOI: 10.1038/s41467-023-35833-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 01/04/2023] [Indexed: 01/22/2023] Open
Abstract
While the mutational and transcriptional landscapes of renal cell carcinoma (RCC) are well-known, the epigenome is poorly understood. We characterize the epigenome of clear cell (ccRCC), papillary (pRCC), and chromophobe RCC (chRCC) by using ChIP-seq, ATAC-Seq, RNA-seq, and SNP arrays. We integrate 153 individual data sets from 42 patients and nominate 50 histology-specific master transcription factors (MTF) to define RCC histologic subtypes, including EPAS1 and ETS-1 in ccRCC, HNF1B in pRCC, and FOXI1 in chRCC. We confirm histology-specific MTFs via immunohistochemistry including a ccRCC-specific TF, BHLHE41. FOXI1 overexpression with knock-down of EPAS1 in the 786-O ccRCC cell line induces transcriptional upregulation of chRCC-specific genes, TFCP2L1, ATP6V0D2, KIT, and INSRR, implicating FOXI1 as a MTF for chRCC. Integrating RCC GWAS risk SNPs with H3K27ac ChIP-seq and ATAC-seq data reveals that risk-variants are significantly enriched in allelically-imbalanced peaks. This epigenomic atlas in primary human samples provides a resource for future investigation.
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Affiliation(s)
- Amin H Nassar
- Department of Hematology/Oncology, Yale New Haven Hospital, New Haven, CT, 06510, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Sarah Abou Alaiwi
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Sylvan C Baca
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Elio Adib
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Rosario I Corona
- Women's Cancer Research Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Center for Bioinformatics and Functional Genomics, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ji-Heui Seo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Marcos A S Fonseca
- Women's Cancer Research Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Sandor Spisak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- The Eli and Edythe L. Broad Institute, Cambridge, MA, 02142, USA
| | - Talal El Zarif
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Viktoria Tisza
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- The Eli and Edythe L. Broad Institute, Cambridge, MA, 02142, USA
| | - David A Braun
- Department of Hematology/Oncology, Yale New Haven Hospital, New Haven, CT, 06510, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- The Eli and Edythe L. Broad Institute, Cambridge, MA, 02142, USA
| | - Heng Du
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Monica He
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Abdallah Flaifel
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Michel Alchoueiry
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Thomas Denize
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Sayed G Matar
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Andres Acosta
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Sachet Shukla
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Yue Hou
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
| | - John Steinharter
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Gabrielle Bouchard
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Jacob E Berchuck
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Edward O'Connor
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Connor Bell
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Pier Vitale Nuzzo
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Gwo-Shu Mary Lee
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Sabina Signoretti
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Michelle S Hirsch
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Mark Pomerantz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Elizabeth Henske
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Alexander Gusev
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- McGraw/Patterson Center for Population Sciences, Dana-Farber Cancer Institute, Boston, MA, 02115, USA
| | - Kate Lawrenson
- Women's Cancer Research Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Center for Bioinformatics and Functional Genomics, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Toni K Choueiri
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
| | - David J Kwiatkowski
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
| | - Matthew L Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
- The Eli and Edythe L. Broad Institute, Cambridge, MA, 02142, USA.
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25
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Wei Y, Li L, Zhao X, Yang H, Sa J, Cao H, Cui Y. Cancer subtyping with heterogeneous multi-omics data via hierarchical multi-kernel learning. Brief Bioinform 2023; 24:6847203. [PMID: 36433785 DOI: 10.1093/bib/bbac488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 09/14/2022] [Accepted: 10/15/2022] [Indexed: 11/27/2022] Open
Abstract
Differentiating cancer subtypes is crucial to guide personalized treatment and improve the prognosis for patients. Integrating multi-omics data can offer a comprehensive landscape of cancer biological process and provide promising ways for cancer diagnosis and treatment. Taking the heterogeneity of different omics data types into account, we propose a hierarchical multi-kernel learning (hMKL) approach, a novel cancer molecular subtyping method to identify cancer subtypes by adopting a two-stage kernel learning strategy. In stage 1, we obtain a composite kernel borrowing the cancer integration via multi-kernel learning (CIMLR) idea by optimizing the kernel parameters for individual omics data type. In stage 2, we obtain a final fused kernel through a weighted linear combination of individual kernels learned from stage 1 using an unsupervised multiple kernel learning method. Based on the final fusion kernel, k-means clustering is applied to identify cancer subtypes. Simulation studies show that hMKL outperforms the one-stage CIMLR method when there is data heterogeneity. hMKL can estimate the number of clusters correctly, which is the key challenge in subtyping. Application to two real data sets shows that hMKL identified meaningful subtypes and key cancer-associated biomarkers. The proposed method provides a novel toolkit for heterogeneous multi-omics data integration and cancer subtypes identification.
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Affiliation(s)
- Yifang Wei
- Division of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China
| | - Lingmei Li
- Division of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China
| | - Xin Zhao
- Division of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China
| | - Haitao Yang
- Division of Health Statistics, School of Public Health, Hebei Medical University, Shijiazhuang, Hebei 050017, PR China
| | - Jian Sa
- Department of Science and Technology, Shanxi Provincial Key Laboratory of Major Disease Risk Assessment, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China
| | - Hongyan Cao
- Division of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China.,Department of Mathematics, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China
| | - Yuehua Cui
- Department of Statistics and Probability, Michigan State University, East Lansing, MI 48824, USA
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Johnson TA, Maekawa S, Fujita M, An J, Ju YS, Maejima K, Kanazashi Y, Jikuya R, Okawa Y, Sasagawa S, Yagi K, Okazaki Y, Kuroda N, Takata R, Obara W, Nakagawa H. Genomic features of renal cell carcinoma developed during end-stage renal disease and dialysis. Hum Mol Genet 2023; 32:290-303. [PMID: 35981075 DOI: 10.1093/hmg/ddac180] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 07/13/2022] [Accepted: 07/28/2022] [Indexed: 01/18/2023] Open
Abstract
Patients with end-stage renal disease (ESRD) or receiving dialysis have a much higher risk for renal cell carcinoma (RCC), but carcinogenic mechanisms and genomic features remain little explored and undefined. This study's goal was to identify the genomic features of ESRD RCC and characterize them for associations with tumor histology and dialysis exposure. In this study, we obtained 33 RCCs, with various histological subtypes, that developed in ESRD patients receiving dialysis and performed whole-genome sequencing and transcriptome analyses. Driver events, copy-number alteration (CNA) analysis and mutational signature profiling were performed using an analysis pipeline that integrated data from germline and somatic SNVs, Indels and structural variants as well as CNAs, while transcriptome data were analyzed for differentially expressed genes and through gene set enrichment analysis. ESRD related clear cell RCCs' driver genes and mutations mirrored those in sporadic ccRCCs. Longer dialysis periods significantly correlated with a rare mutational signature SBS23, whose etiology is unknown, and increased mitochondrial copy number. All acquired cystic disease (ACD)-RCCs, which developed specifically in ESRD patients, showed chromosome 16q amplification. Gene expression analysis suggests similarity between certain ACD-RCCs and papillary RCCs and in TCGA papillary RCCs with chromosome 16 gain identified enrichment for genes related to DNA repair, as well as pathways related to reactive oxygen species, oxidative phosphorylation and targets of Myc. This analysis suggests that ESRD or dialysis could induce types of cellular stress that impact some specific types of genomic damage leading to oncogenesis.
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Affiliation(s)
- Todd A Johnson
- Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Shigekatsu Maekawa
- Department of Urology, School of Medicine, Iwate Medical University, Morioka, Iwate, 028-3694, Japan
| | - Masashi Fujita
- Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Jisong An
- Graduate School of Medical Science and Engineering (GSMSE), Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Young-Seok Ju
- Graduate School of Medical Science and Engineering (GSMSE), Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Kazuhiro Maejima
- Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Yuki Kanazashi
- Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Ryosuke Jikuya
- Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.,Department of Urology, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan
| | - Yuki Okawa
- Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Shota Sasagawa
- Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Ken Yagi
- Laboratory for Comprehensive Genomic Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Yasushi Okazaki
- Laboratory for Comprehensive Genomic Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Naoto Kuroda
- Department of Diagnostic Pathology, Kochi Red Cross Hospital, Kochi 780-8562, Japan
| | - Ryo Takata
- Department of Urology, School of Medicine, Iwate Medical University, Morioka, Iwate, 028-3694, Japan
| | - Wataru Obara
- Department of Urology, School of Medicine, Iwate Medical University, Morioka, Iwate, 028-3694, Japan
| | - Hidewaki Nakagawa
- Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
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Wang Y, He P, Zhou X, Wang C, Fu J, Zhang D, Liao D, Zhou Z, Wu C, Gong W. Gene mutation profiling and clinical significances in patients with renal cell carcinoma. Clinics (Sao Paulo) 2023; 78:100259. [PMID: 37515929 PMCID: PMC10410166 DOI: 10.1016/j.clinsp.2023.100259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 06/27/2023] [Accepted: 07/14/2023] [Indexed: 07/31/2023] Open
Abstract
OBJECTIVES The pathological mechanisms of patients with Renal Cell Carcinoma (RCC) remain defined. This study aimed to evaluate relationships between the landscape of gene mutations and their clinical significance in RCC patients. METHODS Tissue and peripheral blood samples of 42 patients with RCC were collected and performed for the Next Generation Sequencing (NGS) with Geneseeq PrimeTM 425-gene panel probes. Their landscapes of gene mutation were analyzed. We also carried out an evaluation of Tumor-Node-Metastasis (TNM) staging, RENAL nephelometry score, surgery, and targeted drug treatment of patients. Then we compared the correlations of landscape in gene mutations and the prognosis. RESULTS The most common gene alternations, including BAP1, PBRM1, SETD2, CSF1R, NPM1, EGFR, POLE, RB1, and VHL genes, were identified in tissue and blood samples of 75% of patients. EGFR, POLE, and RB1 gene mutations frequently occurred in relapsed and metastatic patients. BAP1, CCND2, KRAS, PTPN11, ERBB2/3, JAK2, and POLE were presented in the patients with > 9 RENAL nephelometry score. Univariable analysis indicated that SETD2, BAP1, and PBRM1 genes were key factors for Disease-Free Survival (DFS). Multivariable analysis confirmed that mutated SETD1, NPM1, and CSF1R were critical factors for the Progression Free Survival (PFS) of RCC patients with target therapy. CONCLUSIONS Wild-type PBRM1 and mutated BAP1 in patients with RCC were strongly associated with the outcomes of the patient. The PFS of the patients with SETD2, NPM1, and CSF1R mutations were significantly shorter than those patients without variants.
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Affiliation(s)
- Yongquan Wang
- Department of Urology, Southwest Hospital, Third Military Medical University (Army Medical University), Shapingba District, Chongqing, China
| | - Peng He
- Department of Urology, Southwest Hospital, Third Military Medical University (Army Medical University), Shapingba District, Chongqing, China
| | - Xiaozhou Zhou
- Department of Urology, Southwest Hospital, Third Military Medical University (Army Medical University), Shapingba District, Chongqing, China
| | - Cong Wang
- Department of Urology, Southwest Hospital, Third Military Medical University (Army Medical University), Shapingba District, Chongqing, China
| | - Jian Fu
- Department of Urology, Southwest Hospital, Third Military Medical University (Army Medical University), Shapingba District, Chongqing, China
| | - Dawei Zhang
- Department of Urology, Southwest Hospital, Third Military Medical University (Army Medical University), Shapingba District, Chongqing, China
| | - Deyang Liao
- Department of Urology, Southwest Hospital, Third Military Medical University (Army Medical University), Shapingba District, Chongqing, China
| | - Zhansong Zhou
- Department of Urology, Southwest Hospital, Third Military Medical University (Army Medical University), Shapingba District, Chongqing, China
| | - Chunman Wu
- Medicine Department, Nanjing Geneseeq Technology Inc, Nanjing, Jiangsu, China
| | - Wei Gong
- Department of Biochemistry, Third Military Medical University (Army Medical University), No. 30 Gaotanyan Road, Shapingba District, Chongqing, China.
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Sciacovelli M, Dugourd A, Jimenez LV, Yang M, Nikitopoulou E, Costa ASH, Tronci L, Caraffini V, Rodrigues P, Schmidt C, Ryan DG, Young T, Zecchini VR, Rossi SH, Massie C, Lohoff C, Masid M, Hatzimanikatis V, Kuppe C, Von Kriegsheim A, Kramann R, Gnanapragasam V, Warren AY, Stewart GD, Erez A, Vanharanta S, Saez-Rodriguez J, Frezza C. Dynamic partitioning of branched-chain amino acids-derived nitrogen supports renal cancer progression. Nat Commun 2022; 13:7830. [PMID: 36539415 PMCID: PMC9767928 DOI: 10.1038/s41467-022-35036-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 11/16/2022] [Indexed: 12/24/2022] Open
Abstract
Metabolic reprogramming is critical for tumor initiation and progression. However, the exact impact of specific metabolic changes on cancer progression is poorly understood. Here, we integrate multimodal analyses of primary and metastatic clonally-related clear cell renal cancer cells (ccRCC) grown in physiological media to identify key stage-specific metabolic vulnerabilities. We show that a VHL loss-dependent reprogramming of branched-chain amino acid catabolism sustains the de novo biosynthesis of aspartate and arginine enabling tumor cells with the flexibility of partitioning the nitrogen of the amino acids depending on their needs. Importantly, we identify the epigenetic reactivation of argininosuccinate synthase (ASS1), a urea cycle enzyme suppressed in primary ccRCC, as a crucial event for metastatic renal cancer cells to acquire the capability to generate arginine, invade in vitro and metastasize in vivo. Overall, our study uncovers a mechanism of metabolic flexibility occurring during ccRCC progression, paving the way for the development of novel stage-specific therapies.
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Affiliation(s)
- Marco Sciacovelli
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Box 197 Biomedical Campus, Cambridge, CB2 0XZ, UK
- Department of Molecular and Clinical Cancer Medicine; Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 3GE, UK
| | - Aurelien Dugourd
- Faculty of Medicine and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg University, Heidelberg, Germany
- Institute of Experimental Medicine and Systems Biology, RWTH Aachen University, Aachen, Germany
| | - Lorea Valcarcel Jimenez
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Box 197 Biomedical Campus, Cambridge, CB2 0XZ, UK
- CECAD Research Center, Faculty of Medicine-University Hospital Cologne, 50931, Cologne, Germany
| | - Ming Yang
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Box 197 Biomedical Campus, Cambridge, CB2 0XZ, UK
- CECAD Research Center, Faculty of Medicine-University Hospital Cologne, 50931, Cologne, Germany
| | - Efterpi Nikitopoulou
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Box 197 Biomedical Campus, Cambridge, CB2 0XZ, UK
| | - Ana S H Costa
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Box 197 Biomedical Campus, Cambridge, CB2 0XZ, UK
- Matterworks, Somerville, MA, 02143, USA
| | - Laura Tronci
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Box 197 Biomedical Campus, Cambridge, CB2 0XZ, UK
| | - Veronica Caraffini
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Box 197 Biomedical Campus, Cambridge, CB2 0XZ, UK
| | - Paulo Rodrigues
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Box 197 Biomedical Campus, Cambridge, CB2 0XZ, UK
| | - Christina Schmidt
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Box 197 Biomedical Campus, Cambridge, CB2 0XZ, UK
- CECAD Research Center, Faculty of Medicine-University Hospital Cologne, 50931, Cologne, Germany
| | - Dylan Gerard Ryan
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Box 197 Biomedical Campus, Cambridge, CB2 0XZ, UK
| | - Timothy Young
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Box 197 Biomedical Campus, Cambridge, CB2 0XZ, UK
| | - Vincent R Zecchini
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Box 197 Biomedical Campus, Cambridge, CB2 0XZ, UK
| | - Sabrina H Rossi
- Early Detection Programme, CRUK Cambridge Centre, Department of Oncology, University of Cambridge, Hutchison/MRC Research Centre, Box 197 Biomedical Campus, Cambridge, CB2 0XZ, UK
| | - Charlie Massie
- Early Detection Programme, CRUK Cambridge Centre, Department of Oncology, University of Cambridge, Hutchison/MRC Research Centre, Box 197 Biomedical Campus, Cambridge, CB2 0XZ, UK
| | - Caroline Lohoff
- Faculty of Medicine and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg University, Heidelberg, Germany
| | - Maria Masid
- Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland
- Ludwig Institute for Cancer Research, Department of Oncology, Lausanne University Hospital (CHUV), University of Lausanne, CH-1011, Lausanne, Switzerland
| | - Vassily Hatzimanikatis
- Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland
| | - Christoph Kuppe
- Institute of Experimental Medicine and Systems Biology, RWTH Aachen University, Aachen, Germany
- Division of Nephrology and Clinical Immunology, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | - Alex Von Kriegsheim
- Edinburgh Cancer Research UK Centre, Institute of Genetics and Molecular Medicine, Crewe Road South, Edinburgh, EH4 2XR, UK
| | - Rafael Kramann
- Institute of Experimental Medicine and Systems Biology, RWTH Aachen University, Aachen, Germany
- Division of Nephrology and Clinical Immunology, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Vincent Gnanapragasam
- Department of Surgery, University of Cambridge and Cambridge University Hospitals NHS Cambridge Biomedical Campus, Cambridge, UK
| | - Anne Y Warren
- Department of Histopathology-Cambridge University Hospitals NHS, Box 235 Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Grant D Stewart
- Department of Surgery, University of Cambridge and Cambridge University Hospitals NHS Cambridge Biomedical Campus, Cambridge, UK
| | - Ayelet Erez
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Sakari Vanharanta
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Box 197 Biomedical Campus, Cambridge, CB2 0XZ, UK
- Translational Cancer Medicine Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Physiology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Julio Saez-Rodriguez
- Faculty of Medicine and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg University, Heidelberg, Germany.
| | - Christian Frezza
- Medical Research Council Cancer Unit, University of Cambridge, Hutchison/MRC Research Centre, Box 197 Biomedical Campus, Cambridge, CB2 0XZ, UK.
- CECAD Research Center, Faculty of Medicine-University Hospital Cologne, 50931, Cologne, Germany.
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29
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Huang J, Liu W, Song S, Li JC, Gan K, Shen C, Holzbeierlein J, Li B. The iron-modulating hormone hepcidin is upregulated and associated with poor survival outcomes in renal clear cell carcinoma. Front Pharmacol 2022; 13:1080055. [PMID: 36532749 PMCID: PMC9757070 DOI: 10.3389/fphar.2022.1080055] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 11/16/2022] [Indexed: 08/30/2023] Open
Abstract
Background: Reliable biomarkers are rare for renal cell carcinoma (RCC) treatment selection. We aimed to discover novel biomarkers for precision medicine. The iron-regulating hormone hepcidin (HAMP) was reportedly increased in RCC patient sera and tissues. However, its potential implication as a prognostic biomarker remains exclusive. Methods: Multiple RNA-seq and cDNA microarray datasets were utilized to analyze gene expression profiles. Hepcidin protein expression was assessed using an ELISA assay in cell culture models. Comparisons of gene expression profiles and patient survival outcomes were conducted using the R package bioinformatics software. Results: Five (HAMP, HBS, ISCA2, STEAP2, and STEAP3) out of 71 iron-modulating genes exhibited consistent changes along with tumor stage, lymph node invasion, distal metastasis, tumor cell grade, progression-free interval, overall survival, and disease-specific survival. Of which HAMP upregulation exerted as a superior factor (AUC = 0.911) over the other four genes in distinguishing ccRCC tissue from normal renal tissue. HAMP upregulation was tightly associated with its promoter hypomethylation and immune checkpoint factors (PDCD1, LAG3, TIGIT, and CTLA4). Interleukin-34 (IL34) treatment strongly enhanced hepcidin expression in renal cancer Caki-1 cells. Patients with higher levels of HAMP expression experienced worse survival outcomes. Conclusion: These data suggest that HAMP upregulation is a potent prognostic factor of poor survival outcomes and a novel immunotherapeutic biomarker for ccRCC patients.
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Affiliation(s)
- Jian Huang
- Pathological Diagnosis and Research Center, The Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Wang Liu
- Department of Urology, The University of Kansas Medical Center, Kansas, KS, United States
| | - Shiqi Song
- Pathological Diagnosis and Research Center, The Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Jean C. Li
- Department of Urology, The University of Kansas Medical Center, Kansas, KS, United States
| | - Kaimei Gan
- Pathological Diagnosis and Research Center, The Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Chunxiao Shen
- Pathological Diagnosis and Research Center, The Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Jeffrey Holzbeierlein
- Department of Urology, The University of Kansas Medical Center, Kansas, KS, United States
| | - Benyi Li
- Department of Urology, The University of Kansas Medical Center, Kansas, KS, United States
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Gupta S. An update on the pathology of collecting duct & papillary renal cell carcinoma with a discussion of SNP-Arrays as an emerging laboratory technique. Urol Oncol 2022; 40:497-498. [PMID: 34127371 DOI: 10.1016/j.urolonc.2021.05.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 05/06/2021] [Indexed: 01/13/2023]
Abstract
The diagnostic criteria and management of renal cell carcinoma (RCC) has evolved significantly in the last two decades. Increased molecular profiling of RCC has yielded further refinement of existing diagnostic categories. This is particularly true for papillary RCC, which has evolved into multiple molecularly distinct entities. Collecting duct carcinoma, on the other hand, continues to be defined based on traditional histology-based criteria, although it is now possible to exclude various categories of tumors that share overlapping morphologic features. In this context, it is important to note that pathology laboratories have varying degrees of access to complex molecular technologies required to profile tumors in routine clinical practice. Single nucleotide polymorphism (SNP) based copy number profiling represents one modality of testing which is becoming widely available and is being increasingly utilized to profile renal tumors. In this special Seminars issue, we explore the evolution of Collecting Duct & Papillary RCC as diagnostic entities, with a detailed discussion of SNP array-based copy number profiling in contemporary clinical practice.
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Affiliation(s)
- Sounak Gupta
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
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31
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Taylor AS, Skala SL. Tumors masquerading as type 2 papillary renal cell carcinoma: pathologists' ever-expanding differential diagnosis for a heterogeneous group of entities. Urol Oncol 2022; 40:499-511. [PMID: 34116938 DOI: 10.1016/j.urolonc.2021.04.043] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 03/22/2021] [Accepted: 04/28/2021] [Indexed: 02/07/2023]
Abstract
Although papillary renal cell carcinoma has historically been classified as either type 1 or type 2, data from The Cancer Genome Atlas (TCGA) has demonstrated significant genomic heterogeneity in tumors classified as "type 2 papillary renal cell carcinoma" (T2PRCC). Papillary renal cell carcinoma is expected to have a favorable clinical course compared to clear cell renal cell carcinoma (CCRCC). However, tumors with poor outcome more similar to CCRCC were included in the T2PRCC cohort studied by the TCGA. The differential diagnosis for T2PRCC includes a variety of other renal tumors, including aggressive entities such as TFE3 translocation-associated renal cell carcinoma, TFEB-amplified renal cell carcinoma, fumarate hydratase-deficient renal cell carcinoma, high-grade CCRCC, and collecting duct carcinoma. Accurate classification of these tumors is important for prognostication and selection of therapy.
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Affiliation(s)
- Alexander S Taylor
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI
| | - Stephanie L Skala
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI.
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32
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Gupta S, Sukov WR, Vanderbilt CM, Shen W, Herrera-Hernandez L, Lohse CM, Thompson RH, Boorjian SA, Leibovich BC, Jimenez RE, Cheville JC. A contemporary guide to chromosomal copy number profiling in the diagnosis of renal cell carcinoma. Urol Oncol 2022; 40:512-524. [PMID: 34092479 DOI: 10.1016/j.urolonc.2021.04.042] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 04/06/2021] [Accepted: 04/28/2021] [Indexed: 02/07/2023]
Abstract
The routine clinical implementation of molecular methods other than fluorescence in situ hybridization in the evaluation of renal neoplasia is currently limited, as the current standard of care primarily involves a combination of morphologic and immunophenotypic analysis of such tumors. Amongst various molecular techniques, global copy number profiling using single nucleotide polymorphism-based microarrays, colloquially referred to as SNP-arrays, is being increasingly utilized to profile renal tumors, as several subtypes have characteristic recurrent patterns of copy number alterations. Recurrent copy number alterations in common tumor types include loss of chromosome 3p in clear cell renal cell carcinoma (RCC), gain of chromosomes 7 and 17 in papillary RCC and multiple losses in chromosomes 1, 2, 6, 10, 13, 17, and 21 in chromophobe RCC. Such assays are being increasingly utilized in the clinical setting. Herein, we discuss some common clinical applications of such testing that includes high yield diagnostic and prognostic applications. Diagnostic utility includes evaluation of tumor types that are primarily defined by underlying copy number alterations, establishing the underlying subtype in high grade dedifferentiated (unclassified) renal tumors, as well as assessment of loss of heterozygosity, which is an important component in the workup for germline alterations in tumor suppressor genes. Universal adoption of these techniques across clinical laboratories will likely be significantly affected by variables such as cost, reimbursement, and turnaround time.
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Affiliation(s)
- Sounak Gupta
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
| | - William R Sukov
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Chad M Vanderbilt
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Wei Shen
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | | | - Christine M Lohse
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN
| | | | | | | | - Rafael E Jimenez
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - John C Cheville
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
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Quan J, Huang B. Identification and validation of the molecular subtype and prognostic signature for clear cell renal cell carcinoma based on neutrophil extracellular traps. Front Cell Dev Biol 2022; 10:1021690. [PMID: 36523511 PMCID: PMC9745193 DOI: 10.3389/fcell.2022.1021690] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 11/04/2022] [Indexed: 08/01/2023] Open
Abstract
Background: Renal cell carcinoma (RCC) is one of the most common cancers, with an annual incidence of nearly 400,000 cases worldwide. Increasing evidence has also demonstrated the vital role of neutrophil extracellular traps (NETs) in cancer progression and metastatic dissemination. Methods: Consensus cluster analysis was performed to determine the number of ccRCC subtypes. The Kruskal-Wallis test or Student t-test was performed to evaluate the difference of infiltrating immune cell and gene expression in different groups. The Kaplan-Meier (KM) method was used to draw the survival curve. LASSO cox regression analysis was conducted to construct a NET-related prognostic signature. We also constructed a lncRNA-miRNA-mRNA regulatory axis by several miRNA and lncRNA target databases. Results: A total of 23 differentially expressed NET-related genes were obtained in ccRCC. Three clusters of ccRCC cases with significant difference in prognosis, immune infiltration, and chemotherapy and targeted therapy were identified. LASSO Cox regression analysis identified a NET-related prognostic signature including six genes (G0S2, DYSF, MMP9, SLC22A4, SELP, and KCNJ15), and this signature had a good performance in predicting the overall survival of ccRCC patients. The expression of prognostic signature genes was significantly correlated with the pTMN stage, immune infiltration, tumor mutational burdens, microsatellite instability, and drug sensitivity of ccRCC patients. MMP9 was identified as the hub gene. We also identified the lncRNA UBA6-AS1/miR-149-5p/MMP9 regulatory axis for the progression of ccRCC. Conclusion: Collectively, the current study identified three molecular clusters and a prognostic signature for ccRCC based on neutrophil extracellular traps. Integrative transcriptome analyses plus clinical sample validation may facilitate the biomarker discovery and clinical transformation.
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LINC00472 inhibits cell migration by enhancing intercellular adhesion and regulates H3K27ac level via interacting with P300 in renal clear cell carcinoma. Cell Death Dis 2022; 8:454. [PMID: 36371410 PMCID: PMC9653443 DOI: 10.1038/s41420-022-01243-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 10/21/2022] [Accepted: 10/26/2022] [Indexed: 11/14/2022]
Abstract
Renal clear cell carcinoma (RCCC) is the most common type of renal cell carcinoma, which is also difficult to diagnose and easy to metastasize. Currently, there is still a lack of effective clinical diagnostic indicators and treatment targets. This study aims to find effective diagnostic markers and therapeutic targets from the perspective of noncoding RNA. In this study, we found that the expression of Long noncoding RNA LINC00472 was significantly decreased in RCCC and showed a downward trend with the progression of cancer stage. Patients with low LINC00472 expression have poor prognosis. Inhibition of LINC00472 significantly increased cell proliferation and migration, while overexpression of LINC00472 obviously inhibited cell proliferation and enhanced intercellular adhesion. Transcriptome sequencing analysis demonstrated that LINC00472 was highly correlated with extracellular matrix and cell metastasis-related pathways, and the consistent results were obtained by The Cancer Genome Atlas (TCGA) data analysis. Additionally, we discovered that the integrin family protein ITGB8 is a potential target gene of LINC00472. Mechanistically, we found that the change of LINC00472 affected the acetylation level of H3K27 site in cells, and we speculate that this effect is likely to be generated through the interaction with acetyltransferase P300. In conclusion, LINC00472 has an important impact on the proliferation and metastasis of renal clear cells, and probably participate in the regulation of histone modification, and it may be used as a potential diagnostic marker of RCCC.
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MUC1 Tissue Expression and Its Soluble Form CA15-3 Identify a Clear Cell Renal Cell Carcinoma with Distinct Metabolic Profile and Poor Clinical Outcome. Int J Mol Sci 2022; 23:ijms232213968. [PMID: 36430448 PMCID: PMC9696833 DOI: 10.3390/ijms232213968] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 11/05/2022] [Accepted: 11/09/2022] [Indexed: 11/16/2022] Open
Abstract
An altered metabolism is involved in the development of clear cell renal carcinoma (ccRCC). MUC1 overexpression has been found to be associated with advanced disease and poor prognosis. In this study, we evaluated the metabolomic profile of human ccRCC, according to MUC1 expression, and integrated it with transcriptomic data. Moreover, we analyzed the role of MUC1 in sustaining ccRCC aggressiveness and the prognostic value of its soluble form CA15-3. Integrated metabolomic and transcriptomic analysis showed that MUC1-expressing ccRCC was characterized by metabolic reprogramming involving the glucose and lipid metabolism pathway. In addition, primary renal cancer cells treated with a small interfering RNA targeting MUC1 (siMUC1) migrated and proliferated at a slower rate than untreated cancer cells. After cisplatin treatment, the death rate of cancer cells treated with siMUC1 was significantly greater than that of untreated cells. Kaplan-Meier curves showed significant differences in CSS and PFS among groups of patients with high versus low levels of CA15-3. In a multivariate analysis, CA15-3 was an independent adverse prognostic factor for cancer-specific and progression-free survival. In conclusion, MUC1 expressing ccRCC is characterized by a particular metabolic reprogramming. The inhibition of MUC1 expression decreases cell motility and viability and improves cisplatin susceptibility, suggesting that this pathway can regulate de novo chemotherapy resistance in ccRCC.
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Lobo J, Ohashi R, Amin MB, Berney DM, Compérat EM, Cree IA, Gill AJ, Hartmann A, Menon S, Netto GJ, Raspollini MR, Rubin MA, Tan PH, Tickoo SK, Tsuzuki T, Turajlic S, Zhou M, Srigley JR, Moch H. WHO 2022 landscape of papillary and chromophobe renal cell carcinoma. Histopathology 2022; 81:426-438. [PMID: 35596618 DOI: 10.1111/his.14700] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 05/04/2022] [Accepted: 05/18/2022] [Indexed: 12/01/2022]
Abstract
The 5th edition of the WHO Classification of Tumours of the Urinary and Male Genital Systems contains relevant revisions and introduces a group of molecularly defined renal tumour subtypes. Herein we present the World Health Organization (WHO) 2022 perspectives on papillary and chromophobe renal cell carcinoma with emphasis on their evolving classification, differential diagnosis, and emerging entities. The WHO 2022 classification eliminated the type 1/2 papillary renal cell carcinoma (pRCC) subcategorization, given the recognition of frequent mixed tumour phenotypes and the existence of entities with a different molecular background within the type 2 pRCC category. Additionally, emerging entities such as biphasic squamoid alveolar RCC, biphasic hyalinising psammomatous RCC, papillary renal neoplasm with reverse polarity, and Warthin-like pRCC are included as part of the pRCC spectrum, while additional morphological and molecular data are being gathered. In addition to oncocytomas and chromophobe renal cell carcinoma (chRCC), a category of 'other oncocytic tumours' with oncocytoma/chRCC-like features has been introduced, including emerging entities, most with TSC/mTOR pathway alterations (eosinophilic vacuolated tumour and so-called 'low-grade' oncocytic tumour), deserving additional research. Eosinophilic solid and cystic RCC was accepted as a new and independent tumour entity. Finally, a highly reproducible and clinically relevant universal grading system for chRCC is still missing and is another niche of ongoing investigation. This review discusses these developments and highlights emerging morphological and molecular data relevant for the classification of renal cell carcinoma.
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Affiliation(s)
- João Lobo
- Department of Pathology, Portuguese Oncology Institute of Porto (IPOP), Porto, Portugal
- Cancer Biology and Epigenetics Group, Research Center of IPO Porto (GEBC CI-IPOP)/RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto)/Porto Comprehensive Cancer Center (P.CCC), Porto, Portugal
- Department of Pathology and Molecular Immunology, ICBAS-School of Medicine and Biomedical Sciences, University of Porto (ICBAS-UP), Porto, Portugal
| | - Riuko Ohashi
- Histopathology Core Facility, Niigata University Faculty of Medicine, Niigata, Japan
- Division of Molecular and Diagnostic Pathology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Mahul B Amin
- Department of Pathology and Laboratory Medicine, University of Tennessee Health Sciences Center, Memphis, USA
- Department of Urology, University of Southern California, Los Angeles, CA, USA
| | - Daniel M Berney
- Centre for Molecular Oncology, Barts and the London School of Medicine and Dentistry, London, UK
| | - Eva M Compérat
- Department of Pathology, Hôpital Tenon, Sorbonne University, Paris, France
| | - Ian A Cree
- International Agency for Research on Cancer (IARC), World Health Organization, Lyon, France
| | - Anthony J Gill
- Sydney Medical School, The University of Sydney, Sydney, Australia
- Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, St Leonards, New South Wales, Australia
- NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, NSW Health Pathology, St Leonards, New South Wales, Australia
| | - Arndt Hartmann
- Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | - Santosh Menon
- Department of Pathology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - George J Netto
- Department of Pathology, University of Alabama, Birmingham, AL, USA
| | - Maria R Raspollini
- Histopathology and Molecular Diagnostics, Careggi University Hospital, Florence, Italy
| | - Mark A Rubin
- Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY, USA
- Department for BioMedical Research, University of Bern, Bern, Switzerland
- Englander Institute for Precision Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Puay Hoon Tan
- Division of Pathology, Singapore General Hospital, Singapore
| | - Satish K Tickoo
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Toyonori Tsuzuki
- Department of Surgical Pathology, Aichi Medical University Hospital, Nagakute, Japan
| | - Samra Turajlic
- Renal and Skin Units, The Royal Marsden Hospital NHS Foundation Trust, London, UK
- The Francis Crick Institute, London, UK
| | - Ming Zhou
- Department of Pathology, Tufts Medical Center, Boston, Massachusetts, USA
| | - John R Srigley
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Holger Moch
- Department of Pathology and Molecular Pathology, University and University Hospital Zurich, Zurich, Switzerland
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Chang A, Chakiryan NH, Du D, Stewart PA, Zhang Y, Tian Y, Soupir AC, Bowers K, Fang B, Morganti A, Teer JK, Kim Y, Spiess PE, Chahoud J, Noble JD, Putney RM, Berglund AE, Robinson TJ, Koomen JM, Wang L, Manley BJ. Proteogenomic, Epigenetic, and Clinical Implications of Recurrent Aberrant Splice Variants in Clear Cell Renal Cell Carcinoma. Eur Urol 2022; 82:354-362. [PMID: 35718636 PMCID: PMC11075093 DOI: 10.1016/j.eururo.2022.05.021] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 04/24/2022] [Accepted: 05/24/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND Alternative mRNA splicing can be dysregulated in cancer, resulting in the generation of aberrant splice variants (SVs). Given the paucity of actionable genomic mutations in clear cell renal cell carcinoma (ccRCC), aberrant SVs may be an avenue to novel mechanisms of pathogenesis. OBJECTIVE To identify and characterize aberrant SVs enriched in ccRCC. DESIGN, SETTING, AND PARTICIPANTS Using RNA-seq data from the Cancer Cell Line Encyclopedia, we identified neojunctions uniquely expressed in ccRCC. Candidate SVs were then checked for expression across normal tissue in the Genotype-Tissue Expression Project and primary tumor tissue from The Cancer Genome Atlas (TCGA), Clinical Proteomic Tumor Analysis Consortium (CPTAC), and our institutional Total Cancer Care database. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Clinicopathologic, genomic, and survival data were available for all cohorts. Epigenetic data were available for the TCGA and CPTAC cohorts. Proteomic data were available for the CPTAC cohort. The association of aberrant SV expression with these variables was examined using the Kruskal-Wallis test, pairwise t test, Spearman correlation test, and Cox regression analysis. RESULTS AND LIMITATIONS Our pipeline identified 16 ccRCC-enriched SVs. EGFR, HPCAL1-SV and RNASET2-SV expression was negatively correlated with gene-specific CpG methylation. We derived a survival risk score based primarily on the expression of five SVs (RNASET2, FGD1, PDZD2, COBLL1, and PTPN14), which was consistent and applicable across multiple cohorts on multivariate analysis. The splicing factor RBM4, which modulates splicing of HIF-1α, exhibited significantly lower expression at the protein level in the high-risk group, as defined by our SV-based score. CONCLUSIONS We describe 16 aberrant SVs enriched in ccRCC, many of which are associated with disease biology and/or clinical outcomes. This study provides a novel strategy for identifying and characterizing disease-specific aberrant SVs. PATIENT SUMMARY We describe a method to identify disease targets and biomarkers using transcriptomic analysis beyond somatic mutations or gene expression. Kidney tumors express unique splice variants that may provide additional prognostic information following surgery.
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Affiliation(s)
- Andrew Chang
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
| | - Nicholas H Chakiryan
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Dongliang Du
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Paul A Stewart
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Yonghong Zhang
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Yijun Tian
- Department of Tumor Biology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Alex C Soupir
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA; Department of Tumor Biology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Kiah Bowers
- Department of Molecular Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Bin Fang
- Department of Molecular Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Ashley Morganti
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Jamie K Teer
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Youngchul Kim
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Philippe E Spiess
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Jad Chahoud
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Jerald D Noble
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA; Department of Radiation Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Ryan M Putney
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Anders E Berglund
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Timothy J Robinson
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT, USA
| | - John M Koomen
- Department of Molecular Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Liang Wang
- Department of Tumor Biology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | - Brandon J Manley
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA; Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
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Donskov F, Pinto CA, Predoiu R, Fox C, Georgsen JB, Skaarup K, Burcu M, Perini R, Steiniche T. Molecular analysis and favorable clinical outcomes in real-world patients with metastatic renal cell carcinoma. Acta Oncol 2022; 61:1268-1277. [DOI: 10.1080/0284186x.2022.2119100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Frede Donskov
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
- Department of Oncology, University Hospital of Southern Denmark, Esbjerg, Denmark
| | | | | | | | | | | | | | | | - Torben Steiniche
- Department of Pathology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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Greene CJ, Attwood K, Sharma NJ, Balderman B, Deng R, Muhitch JB, Smith GJ, Gross KW, Xu B, Kauffman EC. Iron accumulation typifies renal cell carcinoma tumorigenesis but abates with pathological progression, sarcomatoid dedifferentiation, and metastasis. Front Oncol 2022; 12:923043. [PMID: 35992801 PMCID: PMC9389085 DOI: 10.3389/fonc.2022.923043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 06/29/2022] [Indexed: 11/13/2022] Open
Abstract
Iron is a potent catalyst of oxidative stress and cellular proliferation implicated in renal cell carcinoma (RCC) tumorigenesis, yet it also drives ferroptosis that suppresses cancer progression and represents a novel therapeutic target for advanced RCC. The von Hippel Lindau (VHL)/hypoxia-inducible factor-α (HIF-α) axis is a major regulator of cellular iron, and its inactivation underlying most clear cell (cc) RCC tumors introduces both iron dependency and ferroptosis susceptibility. Despite the central role for iron in VHL/HIF-α signaling and ferroptosis, RCC iron levels and their dynamics during RCC initiation/progression are poorly defined. Here, we conducted a large-scale investigation into the incidence and prognostic significance of total tissue iron in ccRCC and non-ccRCC patient primary tumor cancer cells, tumor microenvironment (TME), metastases and non-neoplastic kidneys. Prussian Blue staining was performed to detect non-heme iron accumulation in over 1600 needle-core sections across multiple tissue microarrays. We found that RCC had significantly higher iron staining scores compared with other solid cancers and, on average, >40 times higher than adjacent renal epithelium. RCC cell iron levels correlated positively with TME iron levels and inversely with RCC levels of the main iron uptake protein, transferrin receptor 1 (TfR1/TFRC/CD71). Intriguingly, RCC iron levels, including in the TME, decreased significantly with pathologic (size/stage/grade) progression, sarcomatoid dedifferentiation, and metastasis, particularly among patients with ccRCC, despite increasing TfR1 levels, consistent with an increasingly iron-deficient tumor state. Opposite to tumor iron changes, adjacent renal epithelial iron increased significantly with RCC/ccRCC progression, sarcomatoid dedifferentiation, and metastasis. Lower tumor iron and higher renal epithelial iron each predicted significantly shorter ccRCC patient metastasis-free survival. In conclusion, iron accumulation typifies RCC tumors but declines toward a relative iron-deficient tumor state during progression to metastasis, despite precisely opposite dynamics in adjacent renal epithelium. These findings raise questions regarding the historically presumed selective advantage for high iron during all phases of cancer evolution, suggesting instead distinct tissue-specific roles during RCC carcinogenesis and early tumorigenesis versus later progression. Future study is warranted to determine how the relative iron deficiency of advanced RCC contributes to ferroptosis resistance and/or introduces a heightened susceptibility to iron deprivation that might be therapeutically exploitable.
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Affiliation(s)
- Christopher J. Greene
- Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
- Department of Biological Sciences, University at Buffalo, Buffalo, NY, United States
| | - Kristopher Attwood
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Nitika J. Sharma
- Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Benjamin Balderman
- Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Rongia Deng
- Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Jason B. Muhitch
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Gary J. Smith
- Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Kenneth W. Gross
- Department of Molecular and Cellular Biology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Bo Xu
- Department of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Eric C. Kauffman
- Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
- Department of Cancer Genetics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
- *Correspondence: Eric C. Kauffman,
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Tahiri A, Puco K, Naji F, Kristensen VN, Alfsen GC, Farkas L, Nilsen FS, Müller S, Oldenburg J, Geisler J. Kinase activity profiling in renal cell carcinoma, benign renal tissue and in response to four different tyrosine kinase inhibitors. Oncotarget 2022; 13:970-981. [PMID: 36093296 PMCID: PMC9450987 DOI: 10.18632/oncotarget.28257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 07/01/2022] [Indexed: 11/25/2022] Open
Abstract
Kinase activity is frequently altered in renal cell carcinoma (RCC), and tyrosine kinase inhibitors (TKIs) are part of the standard treatment strategy in patients with metastatic disease. However, there are still no established biomarkers to predict clinical benefits of a specific TKI. Here, we performed protein tyrosine kinase (PTK) profiling using PamChip® technology. The aim of this study was to identify differences in PTK activity between normal and malignant kidney tissue obtained from the same patient, and to investigate the inhibitory effects of TKIs frequently used in the clinics: sunitinib, pazopanib, cabozantinib and tivozanib. Briefly, our results showed that 36 kinase substrates differs (FDR < 0.05) between normal and cancer kidney tissue, where members of the Src family kinases and the phosphoinositide-3-kinase (PI3K) pathway exhibit high activity in renal cancer. Furthermore, ex vivo treatment of clear cell RCC with TKIs revealed that pathways such as Rap1, Ras and PI3K pathways were strongly inhibited, whereas the neurotrophin pathway had increased activity upon TKI addition. In our assay, tivozanib and cabozantinib exhibited greater inhibitory effects on PTK activity compared to sunitinib and pazopanib, implying they might be better suitable as TKIs for selected RCC patients.
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Affiliation(s)
- Andliena Tahiri
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Ullevål, Norway
- Department of Clinical Molecular Biology (EpiGen), Akershus University Hospital, Lørenskog, Norway
| | - Katarina Puco
- Department of Oncology, Akershus University Hospital, Lørenskog, Norway
| | - Faris Naji
- Pamgene International BV, ‘s-Hertogenbosch, The Netherlands
| | - Vessela N. Kristensen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital, Ullevål, Norway
| | - Glenny Cecilie Alfsen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Pathology, Akershus University Hospital, Lørenskog, Norway
| | - Lorant Farkas
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Pathology, Akershus University Hospital, Lørenskog, Norway
| | - Frode S. Nilsen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Urology, Akershus University Hospital, Lørenskog, Norway
| | - Stig Müller
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Urology, Akershus University Hospital, Lørenskog, Norway
- These authors contributed equally to this work
| | - Jan Oldenburg
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Oncology, Akershus University Hospital, Lørenskog, Norway
- These authors contributed equally to this work
| | - Jürgen Geisler
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Oncology, Akershus University Hospital, Lørenskog, Norway
- These authors contributed equally to this work
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Zhong W, Liu H, Li F, lin Y, Ye Y, Xu L, Li S, Chen H, Li C, Lin Y, Zhuang W, Lin Y, Wang Q. Elevated expression of LIF predicts a poor prognosis and promotes cell migration and invasion of clear cell renal cell carcinoma. Front Oncol 2022; 12:934128. [PMID: 35992780 PMCID: PMC9382297 DOI: 10.3389/fonc.2022.934128] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 07/06/2022] [Indexed: 11/13/2022] Open
Abstract
Background Renal cell carcinoma (RCC) is the seventh most common cancer in humans, of which clear cell renal cell carcinoma (ccRCC) accounts for the majority. Recently, although there have been significant breakthroughs in the treatment of ccRCC, the prognosis of targeted therapy is still poor. Leukemia inhibitory factor (LIF) is a pleiotropic protein, which is overexpressed in many cancers and plays a carcinogenic role. In this study, we explored the expression and potential role of LIF in ccRCC. Methods The expression levels and prognostic effects of the LIF gene in ccRCC were detected using TCGA, GEO, ICGC, and ArrayExpress databases. The function of LIF in ccRCC was investigated using a series of cell function approaches. LIF-related genes were identified by weighted gene correlation network analysis (WGCNA). GO and KEGG analyses were performed subsequently. Cox univariate and LASSO analyses were used to develop risk signatures based on LIF-related genes, and the prognostic model was validated in the ICGC and E-MTAB-1980 databases. Then, a nomogram model was constructed for survival prediction and validation of ccRCC patients. To further explore the drug sensitivity between LIF-related genes, we also conducted a drug sensitivity analysis based on the GDSC database. Results The mRNA and protein expression levels of LIF were significantly increased in ccRCC patients. In addition, a high expression of LIF has a poor prognostic effect in ccRCC patients. LIF knockdown can inhibit the migration and invasion of ccRCC cells. By using WGCNA, 97 LIF-related genes in ccRCC were identified. Next, a prognostic risk prediction model including eight LIF-related genes (TOB2, MEPCE, LIF, RGS2, RND3, KLF6, RRP12, and SOCS3) was developed and validated. Survival analysis and ROC curve analysis indicated that the eight LIF-related-gene predictive model had good performance in evaluating patients’ prognosis in different subgroups of ccRCC. Conclusion Our study revealed that LIF plays a carcinogenic role in ccRCC. In addition, we firstly integrated multiple LIF-related genes to set up a risk-predictive model. The model could accurately predict the prognosis of ccRCC, which offers clinical implications for risk stratification, drug screening, and therapeutic decision.
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Affiliation(s)
- Wenting Zhong
- Central Laboratory at the Second Affiliated Hospital of Fujian Traditional Chinese Medical University, Fujian-Macao Science and Technology Cooperation Base of Traditional Chinese Medicine-Oriented Chronic Disease Prevention and Treatment, Innovation and Transformation Center, Fujian University of Traditional Chinese Medicine, Fuzhou, China
- College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Hongxia Liu
- College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Feng Li
- Department of Pathology, Fujian Provincial Hospital, Fuzhou, China
| | - Youyu lin
- College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Yan Ye
- College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Luyun Xu
- College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - ShengZhao Li
- College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Hui Chen
- College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Chengcheng Li
- College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Yuxuan Lin
- College of Life Sciences, Fujian Normal University, Fuzhou, China
| | - Wei Zhuang
- Department of Urology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
- *Correspondence: Qingshui Wang, ; Yao Lin, ; ; Wei Zhuang,
| | - Yao Lin
- Central Laboratory at the Second Affiliated Hospital of Fujian Traditional Chinese Medical University, Fujian-Macao Science and Technology Cooperation Base of Traditional Chinese Medicine-Oriented Chronic Disease Prevention and Treatment, Innovation and Transformation Center, Fujian University of Traditional Chinese Medicine, Fuzhou, China
- *Correspondence: Qingshui Wang, ; Yao Lin, ; ; Wei Zhuang,
| | - Qingshui Wang
- Central Laboratory at the Second Affiliated Hospital of Fujian Traditional Chinese Medical University, Fujian-Macao Science and Technology Cooperation Base of Traditional Chinese Medicine-Oriented Chronic Disease Prevention and Treatment, Innovation and Transformation Center, Fujian University of Traditional Chinese Medicine, Fuzhou, China
- College of Life Sciences, Fujian Normal University, Fuzhou, China
- *Correspondence: Qingshui Wang, ; Yao Lin, ; ; Wei Zhuang,
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Huang S, Luo Q, Huang J, Wei J, Wang S, Hong C, Qiu P, Li C. A Cluster of Metabolic-Related Genes Serve as Potential Prognostic Biomarkers for Renal Cell Carcinoma. Front Genet 2022; 13:902064. [PMID: 35873461 PMCID: PMC9301649 DOI: 10.3389/fgene.2022.902064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 06/07/2022] [Indexed: 12/03/2022] Open
Abstract
Renal cell carcinoma (RCC) is the most common type of renal cancer, characterized by the dysregulation of metabolic pathways. RCC is the second highest cause of death among patients with urologic cancers and those with cancer cell metastases have a 5-years survival rate of only 10–15%. Thus, reliable prognostic biomarkers are essential tools to predict RCC patient outcomes. This study identified differentially expressed genes (DEGs) in the gene expression omnibus (GEO) database that are associated with pre-and post-metastases in clear cell renal cell carcinoma (ccRCC) patients and intersected these with metabolism-related genes in the Kyoto encyclopedia of genes and genomes (KEGG) database to identify metabolism-related DEGs (DEMGs). GOplot and ggplot packages for gene ontology (GO) and KEGG pathway enrichment analysis of DEMGs with log (foldchange) (logFC) were used to identify metabolic pathways associated with DEMG. Upregulated risk genes and downregulated protective genes among the DEMGs and seven independent metabolic genes, RRM2, MTHFD2, AGXT2, ALDH6A1, GLDC, HOGA1, and ETNK2, were found using univariate and multivariate Cox regression analysis, intersection, and Lasso-Cox regression analysis to establish a metabolic risk score signature (MRSS). Kaplan-Meier survival curve of Overall Survival (OS) showed that the low-risk group had a significantly better prognosis than the high-risk group in both the training cohort (p < 0.001; HR = 2.73, 95% CI = 1.97–3.79) and the validation cohort (p = 0.001; HR = 2.84, 95% CI = 1.50–5.38). The nomogram combined with multiple clinical information and MRSS was more effective at predicting patient outcomes than a single independent prognostic factor. The impact of metabolism on ccRCC was also assessed, and seven metabolism-related genes were established and validated as biomarkers to predict patient outcomes effectively.
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A single-cell map of dynamic chromatin landscapes of immune cells in renal cell carcinoma. NATURE CANCER 2022; 3:885-898. [PMID: 35668194 PMCID: PMC9325682 DOI: 10.1038/s43018-022-00391-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 04/28/2022] [Indexed: 12/12/2022]
Abstract
A complete chart of the chromatin regulatory elements of immune cells in patients with cancer and their dynamic behavior is necessary to understand the developmental fates and guide therapeutic strategies. Here, we map the single-cell chromatin landscape of immune cells from blood, normal tumor-adjacent kidney tissue and malignant tissue from patients with early-stage clear cell renal cell carcinoma (ccRCC). We catalog the T cell states dictated by tissue-specific and developmental-stage-specific chromatin accessibility patterns, infer key chromatin regulators and observe rewiring of regulatory networks in the progression to dysfunction in CD8+ T cells. Unexpectedly, among the transcription factors orchestrating the path to dysfunction, NF-κB is associated with a pro-apoptotic program in late stages of dysfunction in tumor-infiltrating CD8+ T cells. Importantly, this epigenomic profiling stratified ccRCC patients based on a NF-κB-driven pro-apoptotic signature. This study provides a rich resource for understanding the functional states and regulatory dynamics of immune cells in ccRCC.
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López-Cortés A, Prathap L, Ortiz-Prado E, Kyriakidis NC, León Cáceres Á, Armendáriz-Castillo I, Vera-Guapi A, Yumiceba V, Simbaña-Rivera K, Echeverría-Garcés G, García-Cárdenas JM, Pérez-Villa A, Guevara-Ramírez P, Abad-Sojos A, Bautista J, Puig San Andrés L, Varela N, Guerrero S. The close interaction between hypoxia-related proteins and metastasis in pancarcinomas. Sci Rep 2022; 12:11100. [PMID: 35773405 PMCID: PMC9246854 DOI: 10.1038/s41598-022-15246-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 06/21/2022] [Indexed: 11/25/2022] Open
Abstract
Many primary-tumor subregions exhibit low levels of molecular oxygen and restricted access to nutrients due to poor vascularization in the tissue, phenomenon known as hypoxia. Hypoxic tumors are able to regulate the expression of certain genes and signaling molecules in the microenvironment that shift it towards a more aggressive phenotype. The transcriptional landscape of the tumor favors malignant transformation of neighboring cells and their migration to distant sites. Herein, we focused on identifying key proteins that participate in the signaling crossroads between hypoxic environment and metastasis progression that remain poorly defined. To shed light on these mechanisms, we performed an integrated multi-omics analysis encompassing genomic/transcriptomic alterations of hypoxia-related genes and Buffa hypoxia scores across 17 pancarcinomas taken from the PanCancer Atlas project from The Cancer Genome Atlas consortium, protein-protein interactome network, shortest paths from hypoxia-related proteins to metastatic and angiogenic phenotypes, and drugs involved in current clinical trials to treat the metastatic disease. As results, we identified 30 hypoxia-related proteins highly involved in metastasis and angiogenesis. This set of proteins, validated with the MSK-MET Project, could represent key targets for developing therapies. The upregulation of mRNA was the most prevalent alteration in all cancer types. The highest frequencies of genomic/transcriptomic alterations and hypoxia score belonged to tumor stage 4 and positive metastatic status in all pancarcinomas. The most significantly associated signaling pathways were HIF-1, PI3K-Akt, thyroid hormone, ErbB, FoxO, mTOR, insulin, MAPK, Ras, AMPK, and VEGF. The interactome network revealed high-confidence interactions among hypoxic and metastatic proteins. The analysis of shortest paths revealed several ways to spread metastasis and angiogenesis from hypoxic proteins. Lastly, we identified 23 drugs enrolled in clinical trials focused on metastatic disease treatment. Six of them were involved in advanced-stage clinical trials: aflibercept, bevacizumab, cetuximab, erlotinib, ipatasertib, and panitumumab.
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Affiliation(s)
- Andrés López-Cortés
- Programa de Investigación en Salud Global, Facultad de Ciencias de la Salud, Universidad Internacional SEK, 170302, Quito, Ecuador.
- Escuela de Medicina, Facultad de Ciencias de la Salud, Universidad de Las Américas, 170124, Quito, Ecuador.
- Latin American Network for the Implementation and Validation of Clinical Pharmacogenomics Guidelines (RELIVAF-CYTED), 28015, Madrid, Spain.
| | - Lavanya Prathap
- Department of Anatomy, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, 600077, Chennai, India
| | - Esteban Ortiz-Prado
- One Health Research Group, Universidad de Las Américas, 170124, Quito, Ecuador
| | | | - Ángela León Cáceres
- Heidelberg Institute of Global Health, Faculty of Medicine, University of Heidelberg, 69117, Heidelberg, Germany
| | - Isaac Armendáriz-Castillo
- Latin American Network for the Implementation and Validation of Clinical Pharmacogenomics Guidelines (RELIVAF-CYTED), 28015, Madrid, Spain
- Instituto Nacional de Investigación en Salud Pública, 170136, Quito, Ecuador
- Facultad de Ingenierías y Ciencias Aplicadas, Universidad Internacional SEK, 170302, Quito, Ecuador
| | - Antonella Vera-Guapi
- Integrated Research and Treatment Center, Center for Sepsis Control and Care (CSCC), Jena University Hospital, 07747, Jena, Germany
| | - Verónica Yumiceba
- Institut Für Humangenetik Lübeck, Universität Zu Lübeck, 23562, Lübeck, Germany
| | - Katherine Simbaña-Rivera
- One Health Research Group, Universidad de Las Américas, 170124, Quito, Ecuador
- Latin American Network for Cancer Research (LAN-CANCER), Lima, Peru
| | - Gabriela Echeverría-Garcés
- Latin American Network for the Implementation and Validation of Clinical Pharmacogenomics Guidelines (RELIVAF-CYTED), 28015, Madrid, Spain
| | - Jennyfer M García-Cárdenas
- Latin American Network for the Implementation and Validation of Clinical Pharmacogenomics Guidelines (RELIVAF-CYTED), 28015, Madrid, Spain
- Laboratorio de Ciencia de Datos Biomédicos, Escuela de Medicina, Facultad de Ciencias Médicas de la Salud y de la Vida, Universidad Internacional del Ecuador, 170113, Quito, Ecuador
| | - Andy Pérez-Villa
- Latin American Network for the Implementation and Validation of Clinical Pharmacogenomics Guidelines (RELIVAF-CYTED), 28015, Madrid, Spain
| | - Patricia Guevara-Ramírez
- Latin American Network for the Implementation and Validation of Clinical Pharmacogenomics Guidelines (RELIVAF-CYTED), 28015, Madrid, Spain
| | | | | | | | - Nelson Varela
- Latin American Network for the Implementation and Validation of Clinical Pharmacogenomics Guidelines (RELIVAF-CYTED), 28015, Madrid, Spain
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology, Faculty of Medicine, University of Chile, 8320000, Santiago, Chile
| | - Santiago Guerrero
- Latin American Network for the Implementation and Validation of Clinical Pharmacogenomics Guidelines (RELIVAF-CYTED), 28015, Madrid, Spain.
- Laboratorio de Ciencia de Datos Biomédicos, Escuela de Medicina, Facultad de Ciencias Médicas de la Salud y de la Vida, Universidad Internacional del Ecuador, 170113, Quito, Ecuador.
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Wang Z, Chen Z, Guo T, Hou M, Wang J, Guo Y, Du T, Zhang X, Wang N, Ding D, Li X. Identification and Verification of Immune Subtype-Related lncRNAs in Clear Cell Renal Cell Carcinoma. Front Oncol 2022; 12:888502. [PMID: 35719925 PMCID: PMC9200973 DOI: 10.3389/fonc.2022.888502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 04/22/2022] [Indexed: 11/13/2022] Open
Abstract
Background According to clinical study results, immune checkpoint blockade (ICB) treatment enhances the survival outcome of patients with clear cell renal cell carcinoma (ccRCC). Previous research has divided ccRCC patients into immune subtypes with distinct ICB response rates. However, the study on the association between lncRNAs and ccRCC immune subtypes is lacking. Methods Differentially expressed lncRNAs/mRNAs between two major immune subgroups were calculated. A weighted gene co-expression network analysis (WGCNA) was conducted to establish the lncRNA-mRNA co-expression network and select the key lncRNAs. Then, prognostic lncRNAs were selected from the network by the bioinformatics method. Next, the risk-score was estimated by lncRNA expression and their coefficients. Finally, a nomogram based on lncRNAs and clinical parameters was created to predict the prognosis of ccRCC. Results LncRNAs and mRNAs associated with ccRCC immune subtypes were identified. The lncRNAs and mRNAs from a gene module closely linked to the immune subtype were used to construct a network. The KEGG pathways enriched in the network were related to immune system activation processes. These 8 lncRNAs (AL365361.1, LINC01934, AC090152.1, PCED1B-AS1, LINC00426, AC007728.2, AC243829.4, and LINC00158) were found to be positively correlated with immune cells of the tumor microenvironment. The C-index of the nomogram was 0.777, and the calibration curve data suggests that the nomogram has a high degree of discriminating capacity. Conclusion In summary, we discovered core lncRNAs linked with immune subtypes and created corresponding lncRNA–mRNA networks. These lncRNAs are anticipated to have predictive significance for ccRCC and may provide insight into novel biomarkers for the disease.
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Affiliation(s)
- Zhifeng Wang
- Department of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Zihao Chen
- Department of Urology, Southern Medical University, Guangzhou, China
| | - Tengyun Guo
- Department of Neurosurgery, Daping Hospital, Army Medical University, Chongqing, China
| | - Menglin Hou
- Department of Oncology, Graduate School of Guilin Medical University, Guilin, China
| | - Junpeng Wang
- Department of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Yanping Guo
- Department of Pathology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Tao Du
- Department of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Xiaoli Zhang
- Department of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Ning Wang
- Department of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Degang Ding
- Department of Urology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Xiqing Li
- Department of Oncology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China
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Steele CD, Abbasi A, Islam SMA, Bowes AL, Khandekar A, Haase K, Hames-Fathi S, Ajayi D, Verfaillie A, Dhami P, McLatchie A, Lechner M, Light N, Shlien A, Malkin D, Feber A, Proszek P, Lesluyes T, Mertens F, Flanagan AM, Tarabichi M, Van Loo P, Alexandrov LB, Pillay N. Signatures of copy number alterations in human cancer. Nature 2022; 606:984-991. [PMID: 35705804 PMCID: PMC9242861 DOI: 10.1038/s41586-022-04738-6] [Citation(s) in RCA: 151] [Impact Index Per Article: 75.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 04/07/2022] [Indexed: 12/15/2022]
Abstract
Gains and losses of DNA are prevalent in cancer and emerge as a consequence of inter-related processes of replication stress, mitotic errors, spindle multipolarity and breakage-fusion-bridge cycles, among others, which may lead to chromosomal instability and aneuploidy1,2. These copy number alterations contribute to cancer initiation, progression and therapeutic resistance3-5. Here we present a conceptual framework to examine the patterns of copy number alterations in human cancer that is widely applicable to diverse data types, including whole-genome sequencing, whole-exome sequencing, reduced representation bisulfite sequencing, single-cell DNA sequencing and SNP6 microarray data. Deploying this framework to 9,873 cancers representing 33 human cancer types from The Cancer Genome Atlas6 revealed a set of 21 copy number signatures that explain the copy number patterns of 97% of samples. Seventeen copy number signatures were attributed to biological phenomena of whole-genome doubling, aneuploidy, loss of heterozygosity, homologous recombination deficiency, chromothripsis and haploidization. The aetiologies of four copy number signatures remain unexplained. Some cancer types harbour amplicon signatures associated with extrachromosomal DNA, disease-specific survival and proto-oncogene gains such as MDM2. In contrast to base-scale mutational signatures, no copy number signature was associated with many known exogenous cancer risk factors. Our results synthesize the global landscape of copy number alterations in human cancer by revealing a diversity of mutational processes that give rise to these alterations.
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Affiliation(s)
- Christopher D Steele
- Research Department of Pathology, Cancer Institute, University College London, London, UK
| | - Ammal Abbasi
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA, USA
- Department of Bioengineering, UC San Diego, La Jolla, CA, USA
- Moores Cancer Center, UC San Diego, La Jolla, CA, USA
| | - S M Ashiqul Islam
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA, USA
- Department of Bioengineering, UC San Diego, La Jolla, CA, USA
- Moores Cancer Center, UC San Diego, La Jolla, CA, USA
| | - Amy L Bowes
- Research Department of Pathology, Cancer Institute, University College London, London, UK
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
| | - Azhar Khandekar
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA, USA
- Department of Bioengineering, UC San Diego, La Jolla, CA, USA
- Moores Cancer Center, UC San Diego, La Jolla, CA, USA
| | - Kerstin Haase
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
| | - Shadi Hames-Fathi
- Research Department of Pathology, Cancer Institute, University College London, London, UK
| | - Dolapo Ajayi
- Research Department of Pathology, Cancer Institute, University College London, London, UK
| | | | - Pawan Dhami
- CRUK-UCL Cancer Institute Translational Technology Platform (Genomics), London, UK
| | - Alex McLatchie
- CRUK-UCL Cancer Institute Translational Technology Platform (Genomics), London, UK
| | - Matt Lechner
- Research Department of Oncology, UCL Cancer Institute, London, UK
| | - Nicholas Light
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Adam Shlien
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - David Malkin
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Division of Hematology/Oncology, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Andrew Feber
- Translational Epigenetics, Division of Molecular Pathology, Institute of Cancer Research, London, UK
- Clinical Genomics, Translational Research Laboratory, Royal Marsden NHS Trust, London, UK
| | - Paula Proszek
- Translational Epigenetics, Division of Molecular Pathology, Institute of Cancer Research, London, UK
- Clinical Genomics, Translational Research Laboratory, Royal Marsden NHS Trust, London, UK
| | - Tom Lesluyes
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
| | - Fredrik Mertens
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
- Department of Clinical Genetics and Pathology, Division of Laboratory Medicine, Lund, Sweden
| | - Adrienne M Flanagan
- Research Department of Pathology, Cancer Institute, University College London, London, UK
- Department of Cellular and Molecular Pathology, Royal National Orthopaedic Hospital NHS Trust, Stanmore, UK
| | - Maxime Tarabichi
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
- Institute for Interdisciplinary Research, Université Libre de Bruxelles, Brussels, Belgium
| | - Peter Van Loo
- Cancer Genomics Laboratory, The Francis Crick Institute, London, UK
| | - Ludmil B Alexandrov
- Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA, USA.
- Department of Bioengineering, UC San Diego, La Jolla, CA, USA.
- Moores Cancer Center, UC San Diego, La Jolla, CA, USA.
| | - Nischalan Pillay
- Research Department of Pathology, Cancer Institute, University College London, London, UK.
- Department of Cellular and Molecular Pathology, Royal National Orthopaedic Hospital NHS Trust, Stanmore, UK.
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Moody L, Xu GB, Pan YX, Chen H. Genome-wide cross-cancer analysis illustrates the critical role of bimodal miRNA in patient survival and drug responses to PI3K inhibitors. PLoS Comput Biol 2022; 18:e1010109. [PMID: 35639779 PMCID: PMC9187341 DOI: 10.1371/journal.pcbi.1010109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 06/10/2022] [Accepted: 04/15/2022] [Indexed: 11/24/2022] Open
Abstract
Heterogeneity of cancer means many tumorigenic genes are only aberrantly expressed in a subset of patients and thus follow a bimodal distribution, having two modes of expression within a single population. Traditional statistical techniques that compare sample means between cancer patients and healthy controls fail to detect bimodally expressed genes. We utilize a mixture modeling approach to identify bimodal microRNA (miRNA) across cancers, find consistent sources of heterogeneity, and identify potential oncogenic miRNA that may be used to guide personalized therapies. Pathway analysis was conducted using target genes of the bimodal miRNA to identify potential functional implications in cancer. In vivo overexpression experiments were conducted to elucidate the clinical importance of bimodal miRNA in chemotherapy treatments. In nine types of cancer, tumors consistently displayed greater bimodality than normal tissue. Specifically, in liver and lung cancers, high expression of miR-105 and miR-767 was indicative of poor prognosis. Functional pathway analysis identified target genes of miR-105 and miR-767 enriched in the phosphoinositide-3-kinase (PI3K) pathway, and analysis of over 200 cancer drugs in vitro showed that drugs targeting the same pathway had greater efficacy in cell lines with high miR-105 and miR-767 levels. Overexpression of the two miRNA facilitated response to PI3K inhibitor treatment. We demonstrate that while cancer is marked by considerable genetic heterogeneity, there is between-cancer concordance regarding the particular miRNA that are more variable. Bimodal miRNA are ideal biomarkers that can be used to stratify patients for prognosis and drug response in certain types of cancer. Bimodal genes can be defined as those having two modes of expression within the same population. A variety of statistical methodologies have been employed to assess bimodal gene expression, but current methods and their applications have been limited. Given the advances in next-generation sequencing as well as the extensive regulatory role of miRNA, assessing bimodality in miRNA-seq data can greatly broaden our understanding of factors underlying tumor progression. The goal of the current study was to utilize a novel mixture modeling approach to identify bimodal miRNA and then demonstrate their importance in cancer by evaluating their ability to predict overall survival and drug response. Our results showed that high levels of bimodal miRNA expression was characteristic of cancer. Additionally, several bimodal miRNA were common to multiple cancer types, suggesting that certain miRNA consistently account for tumor heterogeneity and may be involved in general oncogenic processes. Our study points to the potential of bimodal miRNA to facilitate precise prognostic evaluation and effective treatment strategies.
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Affiliation(s)
- Laura Moody
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
| | - Guanying Bianca Xu
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
| | - Yuan-Xiang Pan
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
- Illinois Informatics Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
| | - Hong Chen
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America
- * E-mail:
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Ujfaludi Z, Kuthi L, Pankotai-Bodó G, Bankó S, Sükösd F, Pankotai T. Novel Diagnostic Value of Driver Gene Transcription Signatures to Characterise Clear Cell Renal Cell Carcinoma, ccRCC. Pathol Oncol Res 2022; 28:1610345. [PMID: 35586183 PMCID: PMC9108154 DOI: 10.3389/pore.2022.1610345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 04/12/2022] [Indexed: 11/22/2022]
Abstract
Routine molecular tumour diagnostics are augmented by DNA-based qualitative and quantitative molecular techniques detecting mutations of DNA. However, in the past decade, it has been unravelled that the phenotype of cancer, as it’s an extremely complex disease, cannot be fully described and explained by single or multiple genetic variants affecting only the coding regions of the genes. Moreover, studying the manifestation of these somatic mutations and the altered transcription programming—driven by genomic rearrangements, dysregulation of DNA methylation and epigenetic landscape—standing behind the tumorigenesis and detecting these changes could provide a more detailed characterisation of the tumour phenotype. Consequently, novel comparative cancer diagnostic pipelines, including DNA- and RNA-based approaches, are needed for a global assessment of cancer patients. Here we report, that by monitoring the expression patterns of key tumour driver genes by qPCR, the normal and the tumorous samples can be separated into distinct categories. Furthermore, we also prove that by examining the transcription signatures of frequently affected genes at 3p25, 3p21 and 9p21.3 genomic regions, the ccRCC (clear cell renal cell carcinoma) and non-tumorous kidney tissues can be distinguished based on the mRNA level of the selected genes. Our results open new diagnostics possibilities where the mRNA signatures of tumour drivers can supplement the DNA-based approaches providing a more precise diagnostics opportunity leading to determine more precise therapeutic protocols.
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Affiliation(s)
- Zsuzsanna Ujfaludi
- Albert Szent-Györgyi Clinical Center, Albert Szent-Györgyi Medical School, Institute of Pathology, University of Szeged, Szeged, Hungary
| | - Levente Kuthi
- Albert Szent-Györgyi Clinical Center, Albert Szent-Györgyi Medical School, Institute of Pathology, University of Szeged, Szeged, Hungary
| | - Gabriella Pankotai-Bodó
- Albert Szent-Györgyi Clinical Center, Albert Szent-Györgyi Medical School, Institute of Pathology, University of Szeged, Szeged, Hungary
| | - Sarolta Bankó
- Albert Szent-Györgyi Clinical Center, Albert Szent-Györgyi Medical School, Institute of Pathology, University of Szeged, Szeged, Hungary
| | - Farkas Sükösd
- Albert Szent-Györgyi Clinical Center, Albert Szent-Györgyi Medical School, Institute of Pathology, University of Szeged, Szeged, Hungary
| | - Tibor Pankotai
- Albert Szent-Györgyi Clinical Center, Albert Szent-Györgyi Medical School, Institute of Pathology, University of Szeged, Szeged, Hungary
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Kroeger N, Lebacle C, Hein J, Rao PN, Nejati R, Wei S, Burchardt M, Drakaki A, Strother M, Kutikov A, Uzzo R, Pantuck AJ. Pathological and genetic markers improve recurrence prognostication with the University of California Los Angeles Integrated Staging System for patients with clear cell renal cell carcinoma. Eur J Cancer 2022; 168:68-76. [PMID: 35461012 DOI: 10.1016/j.ejca.2022.03.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Revised: 03/16/2022] [Accepted: 03/18/2022] [Indexed: 11/18/2022]
Abstract
PURPOSE To elucidate which patients with clear cell renal cell carcinoma have the highest risk for disease relapse after curative nephrectomy is challenging but is acutely relevant in the era of approved adjuvant therapies. Pathological and genetic markers were used to improve the University of California Los Angeles Integrated Staging System (UISS) for the risk stratification and prognostication of recurrence free survival (RFS). PATIENTS AND METHODS Necrosis, sarcomatoid features, Rhabdoid features, chromosomal loss 9p, combined chromosomal loss 3p14q and microvascular invasion (MVI) were tested in univariable and multivariable analyses for their ability to improve the discriminatory ability of the UISS. RESULTS In the development cohort, during the median follow-up time of 43.4 months (±SD 54.1 months), 50/240 (21%) patients developed disease recurrence. MVI (HR: 2.22; p = 0.013) and the combined loss of chromosome 3p/14q (HR: 2.89; p = 0.004) demonstrated independent association with RFS and were used to improve the assignment to the UISS risk category. In the current UISS high-risk group, only 7/50 (14%) recurrence cases were correctly identified; while in the improved system, 23/50 (45%) were correctly prognosticated. The concordance index meaningfully improved from 0.55 to 0.68 to distinguish patients at intermediate risk versus high risk. Internal validation demonstrated a robust prognostication of RFS. In the external validation cohort, there was no case with disease recurrence in the low-risk group, and the mean RFS times were 13.2 (±1.8) and 8.2 (±0.8) years in the intermediate and high-risk groups, respectively. CONCLUSIONS Adding MVI and combined chromosomal loss3p/14q to the UISS improves the ability to define the patient group with clear cell renal cell carcinomawho are at the highest risk for disease relapse after surgical treatment.
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Affiliation(s)
- Nils Kroeger
- Institute of Urologic Oncology at the Department of Urology, David Geffen School of Medicine at University of California, Los Angeles, USA; Department of Urology, University of Greifswald, Germany.
| | - Cédric Lebacle
- Institute of Urologic Oncology at the Department of Urology, David Geffen School of Medicine at University of California, Los Angeles, USA; Department of Urology, University Hospital Bicetre, APHP, University Paris-Saclay, Le Kremlin Bicetre, France
| | - Justine Hein
- Department of Urology, Hospital Magdeburg, Germany
| | - P N Rao
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, USA
| | - Reza Nejati
- Department of Pathology at the Fox Chase Cancer Center, Philadelphia, USA
| | - Shuanzeng Wei
- Department of Pathology at the Fox Chase Cancer Center, Philadelphia, USA
| | | | - Alexandra Drakaki
- Institute of Urologic Oncology at the Department of Urology, David Geffen School of Medicine at University of California, Los Angeles, USA; Department of Hematology and Oncology, David Geffen School of Medicine at University of California, Los Angeles, USA
| | | | | | - Robert Uzzo
- Department of Urology, Fox Chase Cancer Center, Philadelphia, USA
| | - Allan J Pantuck
- Institute of Urologic Oncology at the Department of Urology, David Geffen School of Medicine at University of California, Los Angeles, USA
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Liu Z, Sun T, Piao C, Zhang Z, Kong C. METTL14-mediated N6-methyladenosine modification of ITGB4 mRNA inhibits metastasis of clear cell renal cell carcinoma. Cell Commun Signal 2022; 20:36. [PMID: 35305660 PMCID: PMC8934459 DOI: 10.1186/s12964-022-00831-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 01/23/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Integrin β4 (ITGB4) participates in tumorigenesis and progression of several malignancies, but its role and related mechanisms in clear cell renal cell carcinoma (ccRCC) remain unclear.
Methods
Quantitative real-time PCR (qRT-PCR), western blot and immunohistochemistry were used to detect mRNA and protein levels of relevant genes. Biological functions of ITGB4 and methyltransferase-like 14 (METTL14) were determined by in vitro and in vivo experiments. The levels of N6-methyladenosine (m6A) in ccRCC tissues and adjacent normal tissues were calculated via total RNA m6A quantification assay. The m6A modification of ITGB4 was demonstrated via m6A RNA immunoprecipitation (MeRIP), RIP and luciferase reporter assays.
Results
ITGB4 was significantly overexpressed in ccRCC tissues and high level of ITGB4 predicted poor prognosis as well as metastasis. Functionally, ITGB4 stimulated ccRCC cell migration and invasion in vitro and metastasis in vivo with epithelial–mesenchymal transition (EMT) strengthened. Mechanically, the total levels of m6A were reduced in ccRCC tissues. METTL14, a favorable factor for ccRCC patients’ prognosis, facilitated m6A modification on ITGB4 3′UTR and subsequently accelerated ITGB4 mRNA degradation, leading to its declined expression. Furthermore, the METTL14-mediated inhibition of ITGB4 expression was dependent on the YTH domain family protein 2 (YTHDF2), which acted as an m6A reader to bind to ITGB4 mRNA and to promote its decay. In addition, we demonstrated that knockdown of METTL14 promoted ccRCC cell migration, invasiveness and metastasis as well as stimulating the EMT process and the PI3K/AKT signal by overexpressing ITGB4.
Conclusion
Our study reveals that METTL14 inhibits ITGB4 expression via m6A modification to attenuate metastasis and EMT of ccRCC cells, suggesting the METTL14/ITGB4 axis as a potential prognostic biomarker and therapeutic target for ccRCC.
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