201
|
Sakamoto Y, Xu L, Seki M, Yokoyama TT, Kasahara M, Kashima Y, Ohashi A, Shimada Y, Motoi N, Tsuchihara K, Kobayashi SS, Kohno T, Shiraishi Y, Suzuki A, Suzuki Y. Long-read sequencing for non-small-cell lung cancer genomes. Genome Res 2020; 30:1243-1257. [PMID: 32887687 PMCID: PMC7545141 DOI: 10.1101/gr.261941.120] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Accepted: 04/09/2020] [Indexed: 12/23/2022]
Abstract
Here, we report the application of a long-read sequencer, PromethION, for analyzing human cancer genomes. We first conducted whole-genome sequencing on lung cancer cell lines. We found that it is possible to genotype known cancerous mutations, such as point mutations. We also found that long-read sequencing is particularly useful for precisely identifying and characterizing structural aberrations, such as large deletions, gene fusions, and other chromosomal rearrangements. In addition, we identified several medium-sized structural aberrations consisting of complex combinations of local duplications, inversions, and microdeletions. These complex mutations occurred even in key cancer-related genes, such as STK11, NF1, SMARCA4, and PTEN. The biological relevance of those mutations was further revealed by epigenome, transcriptome, and protein analyses of the affected signaling pathways. Such structural aberrations were also found in clinical lung adenocarcinoma specimens. Those structural aberrations were unlikely to be reliably detected by conventional short-read sequencing. Therefore, long-read sequencing may contribute to understanding the molecular etiology of patients for whom causative cancerous mutations remain unknown and therapeutic strategies are elusive.
Collapse
Affiliation(s)
- Yoshitaka Sakamoto
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
| | - Liu Xu
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
| | - Masahide Seki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
| | - Toshiyuki T Yokoyama
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
| | - Masahiro Kasahara
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
| | - Yukie Kashima
- Division of Translational Informatics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba 277-8577, Japan.,Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba 277-8577, Japan
| | - Akihiro Ohashi
- Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba 277-8577, Japan
| | - Yoko Shimada
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan
| | - Noriko Motoi
- Department of Pathology, National Cancer Center Hospital, Tokyo 104-0045, Japan
| | - Katsuya Tsuchihara
- Division of Translational Informatics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba 277-8577, Japan
| | - Susumu S Kobayashi
- Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba 277-8577, Japan
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan
| | - Yuichi Shiraishi
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo 104-0045, Japan
| | - Ayako Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan.,Division of Translational Informatics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba 277-8577, Japan
| | - Yutaka Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan
| |
Collapse
|
202
|
Yang L. A Practical Guide for Structural Variation Detection in the Human Genome. CURRENT PROTOCOLS IN HUMAN GENETICS 2020; 107:e103. [PMID: 32813322 PMCID: PMC7738216 DOI: 10.1002/cphg.103] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Profiling genetic variants-including single nucleotide variants, small insertions and deletions, copy number variations, and structural variations (SVs)-from both healthy individuals and individuals with disease is a key component of genetic and biomedical research. SVs are large-scale changes in the genome and involve breakage and rejoining of DNA fragments. They may affect thousands to millions of nucleotides and can lead to loss, gain, and reshuffling of genes and regulatory elements. SVs are known to impact gene expression and potentially result in altered phenotypes and diseases. Therefore, identifying SVs from the human genomes is particularly important. In this review, I describe advantages and disadvantages of the available high-throughput assays for the discovery of SVs, which are the most challenging genetic alterations to detect. A practical guide is offered to suggest the most suitable strategies for discovering different types of SVs including common germline, rare, somatic, and complex variants. I also discuss factors to be considered, such as cost and performance, for different strategies when designing experiments. Last, I present several approaches to identify potential SV artifacts caused by samples, experimental procedures, and computational analysis. © 2020 Wiley Periodicals LLC.
Collapse
Affiliation(s)
- Lixing Yang
- Ben May Department for Cancer Research, Department of Human Genetics, University of Chicago, Chicago, Illinois
| |
Collapse
|
203
|
Song YS, Park YJ. Mechanisms of TERT Reactivation and Its Interaction with BRAFV600E. Endocrinol Metab (Seoul) 2020; 35:515-525. [PMID: 32981294 PMCID: PMC7520576 DOI: 10.3803/enm.2020.304] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 07/27/2020] [Indexed: 12/26/2022] Open
Abstract
The telomerase reverse transcriptase (TERT) gene, which is repressed in most differentiated human cells, can be reactivated by somatic TERT alterations and epigenetic modulations. Moreover, the recruitment, accessibility, and binding of transcription factors also affect the regulation of TERT expression. Reactivated TERT contributes to the development and progression of cancer through telomere lengthening-dependent and independent ways. In particular, because of recent advances in high-throughput sequencing technologies, studies on genomic alterations in various cancers that cause increased TERT transcriptional activity have been actively conducted. TERT reactivation has been reported to be associated with poor prognosis in several cancers, and TERT promoter mutations are among the most potent prognostic markers in thyroid cancer. In particular, when a TERT promoter mutation coexists with the BRAFV600E mutation, these mutations exert synergistic effects on a poor prognosis. Efforts have been made to uncover the mechanisms of these synergistic interactions. In this review, we discuss the role of TERT reactivation in tumorigenesis, the mechanisms of TERT reactivation across all human cancers and in thyroid cancer, and the mechanisms of interactions between BRAFV600E and TERT promoter mutations.
Collapse
Affiliation(s)
- Young Shin Song
- Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
| | - Young Joo Park
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| |
Collapse
|
204
|
Tretiakova MS. Renal Cell Tumors: Molecular Findings Reshaping Clinico-pathological Practice. Arch Med Res 2020; 51:799-816. [PMID: 32839003 DOI: 10.1016/j.arcmed.2020.08.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 08/11/2020] [Indexed: 02/07/2023]
Abstract
Over the past 20 years, the number of subtypes of renal epithelial cell neoplasia has grown. This growth has resulted from detailed histological and immunohistochemical characterization of these tumors and their correlation with clinical outcomes. Distinctive molecular phenotypes have validated the unique nature of many of these tumors. This growth of unique renal neoplasms has continued after the 2016 World Health Organization (WHO) Classification of Tumours. A consequence is that both the pathologists who diagnose the tumors and the clinicians who care for these patients are confronted with a bewildering array of renal cell carcinoma variants. Many of these variants have important clinical features, i.e. familial or syndromic associations, genomics alterations that can be targeted with systemic therapy, and benignancy of tumors previously classified as carcinomas. Our goal in the review is to provide a practical guide to help recognize these variants, based on small and distinct sets of histological features and limited numbers of immunohistochemical stains, supplemented, as necessary, with molecular features.
Collapse
Affiliation(s)
- Maria S Tretiakova
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.
| |
Collapse
|
205
|
An J, Park CK, Kim M, Joo JW, Cho NH. HNF-1β as an immunohistochemical marker for distinguishing chromophobe renal cell carcinoma and hybrid oncocytic tumors from renal oncocytoma. Virchows Arch 2020; 478:459-470. [PMID: 32816058 DOI: 10.1007/s00428-020-02912-7] [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: 02/13/2020] [Revised: 07/04/2020] [Accepted: 08/11/2020] [Indexed: 11/24/2022]
Abstract
The histologic features of renal oncocytoma (RO) are similar to those for the more aggressive chromophobe renal cell carcinoma (ChRCC). To assess immunohistochemical markers of the two, the sensitivity and specificity of cytokeratin 7 (CK7) and C-kit, as well as hepatocyte nuclear factor-1β (HNF-1β), were analyzed. Typical cases of ChRCC and RO at Severance Hospital between July 2014 and July 2018 were selected retrospectively. Among 44 cases, 17 were unanimously compatible with ChRCC, 16 were RO, and 11 cases were indeterminate. Samples from all selected cases were used for immunostaining with antibodies against CK7, C-kit, HNF-1β, and CD10. Immunostaining demonstrated complete loss of HNF-1β expression in 11 out of 17 (64.7%) ChRCC cases and a partial, but significant loss in > 50% of tumor cells in the remaining 6 cases (35.3%). In contrast, HNF-1β expression was preserved in tumor cells of RO cases. Fourteen of 17 ChRCC cases (82.4%) were diffusely positive for CK7, whereas cases of RO were focal positive or negative. C-kit staining did not show a significant difference between ChRCC and RO. Two of five ChRCC cases showing diffuse immunoreactivity for CD10 had poor prognoses of local invasion, distant metastasis, or death. Loss of HNF-1β expression is a useful marker with which to diagnose ChRCC, especially in cases with confusing histologic findings or equivocal CK7 staining. Additionally, CD10 staining in high-grade ChRCC aids in diagnosis and prediction of the clinical prognosis.
Collapse
MESH Headings
- Adenoma, Oxyphilic/chemistry
- Adenoma, Oxyphilic/mortality
- Adenoma, Oxyphilic/pathology
- Adenoma, Oxyphilic/therapy
- Adult
- Aged
- Aged, 80 and over
- Biomarkers, Tumor/analysis
- Carcinoma, Renal Cell/chemistry
- Carcinoma, Renal Cell/mortality
- Carcinoma, Renal Cell/pathology
- Carcinoma, Renal Cell/therapy
- Diagnosis, Differential
- Down-Regulation
- Female
- Hepatocyte Nuclear Factor 1-beta/analysis
- Humans
- Immunohistochemistry
- Keratin-7/analysis
- Kidney Neoplasms/chemistry
- Kidney Neoplasms/mortality
- Kidney Neoplasms/pathology
- Kidney Neoplasms/therapy
- Male
- Middle Aged
- Predictive Value of Tests
- Prognosis
- Proto-Oncogene Proteins c-kit/analysis
Collapse
Affiliation(s)
- Jiyeon An
- Department of Pathology, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Cheol Keun Park
- Department of Pathology, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Moonsik Kim
- Department of Pathology, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Jin Woo Joo
- Department of Pathology, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Nam Hoon Cho
- Department of Pathology, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
| |
Collapse
|
206
|
Tong K, Hu Z. FOXI1 expression in chromophobe renal cell carcinoma and renal oncocytoma: a study of The Cancer Genome Atlas transcriptome-based outlier mining and immunohistochemistry. Virchows Arch 2020; 478:647-658. [PMID: 32812119 DOI: 10.1007/s00428-020-02900-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 07/19/2020] [Accepted: 08/06/2020] [Indexed: 01/09/2023]
Abstract
FOXI1 is a forkhead family transcription factor that plays a key role in differentiation and functional maintenance for the renal intercalated cell (IC). The diagnostic utility of FOXI1 is rarely studied thus far. Comparative analyses of FOXI1 mRNA expression in normal kidney tissue and different renal neoplasms including chromophobe renal cell carcinoma (chRCC), renal oncocytoma (RO), and other renal cell carcinomas were conducted using transcriptomic data from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus, and single-cell RNA-seq datasets, in combination with integrative analyses using mutant data, karyotype data, and digital slides for cases with anomalous FOXI1 expression in TCGA. Formalin-fixed, paraffin-embedded whole-tissue slides of varied primary renal neoplasms (n = 367) were subjected to FOXI1 staining for validating FOXI1 transcription levels. We confirmed that FOXI1 was significantly upregulated at mRNA levels in ICs, chRCCs, and ROs compared with other renal tubule cell and renal cell carcinoma subtypes. Furthermore, most of the cases with FOXI1 expression outliers were misclassified in the TCGA kidney cancer project. An underlying novel entity with frequent mutations involved in the mTOR pathway was also found. FOXI1 immunoreactivity was consistently noted in ICs of the distal nephron. FOXI1 staining was positive in 85 of 93 chRCCs and 13 of 18 ROs, respectively. FOXI1 staining was not seen in renal neoplasms (n = 254) derived from non-ICs. In conclusion, FOXI1 expression in normal kidney tissue is restricted to ICs. This cell type-specific expression is retained during neoplastic transformation from ICs to chRCCs or ROs. FOXI1 is thereby a potential biomarker of IC-related tumors.
Collapse
Affiliation(s)
- Kuo Tong
- Department of Pathology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410078, Hunan, China.,Department of Pathology, The Bishan Hospital of Chongqing, Bishan District, Chongqing, 402760, China.,Department of Pathology, School of Basic Medical Science, Central South University, 172 Tongzi Road, Changsha, 410013, Hunan, China
| | - Zhongliang Hu
- Department of Pathology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410078, Hunan, China. .,Department of Pathology, School of Basic Medical Science, Central South University, 172 Tongzi Road, Changsha, 410013, Hunan, China.
| |
Collapse
|
207
|
Suh J, Jeong CW, Choi S, Ku JH, Kim HH, Kim K, Kwak C. Sharing the initial experience of pan-cancer panel analysis in high-risk renal cell carcinoma in the Korean population. BMC Urol 2020; 20:125. [PMID: 32811483 PMCID: PMC7433120 DOI: 10.1186/s12894-020-00687-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 07/27/2020] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND This study aimed to assess the feasibility of a pan-cancer panel assay for high-risk renal cell carcinoma (RCC) in the Korean population. We also analyzed the clinical and genetic factors contributing to metastasis in clear cell RCC. METHODS Thirty-one patients with advanced RCC who underwent radical nephrectomy were analyzed. A 1.8 Mb multi-cancer panel (including 25 RCC-related genes, such as VHL, PBRM1, SETD2, and MET), comprising 181 target genes, 23 fusion genes, and 45 drug target lesions developed by Seoul National University Hospital, was used for this study. RESULTS We extracted DNA from 30 of the 31 (96.7%) RCC specimens. Twenty-one patients (average age 63.3 ± 11.3 years) with clear cell RCC, 5 with papillary RCC, 3 with chromophobe RCC, and one patient, each with MiT family translocation carcinoma RCC and succinate dehydrogenase deficiency RCC, were analyzed. The sequencing depth was 430.8 ± 206.6 and 97 mutations (7.3 ± 2.7 mutations per patient) were detected. The most commonly mutated genes were VHL (46%), PBRM1 (30%), and BAP1, NOTCH4, and POLQ (23.33% each). Compared with TNM stage matched data from TCGA of clear cell RCC, VHL and PBRM1 are most common in both cohorts. Univariate and multivariate analyses revealed that tumor size (Hazard ratio = 2.47, p = 0.04) and PBRM1 (Hazard ratio = 28.69, p = 0.05) were related to metastasis in clear cell RCC. CONCLUSION The pan-cancer panel comprised of RCC-related genes is a feasible and promising tool to evaluate genetic alterations in advanced RCC. However, large-scale studies and a focus on the clinical utility of this cancer panels is needed.
Collapse
Affiliation(s)
- Jungyo Suh
- Department of Urology, Seoul National University College of Medicine, Seoul, South Korea
- Hospital Medicine Center, Seoul National University Hospital, Seoul, South Korea
| | - Chang Wook Jeong
- Department of Urology, Seoul National University College of Medicine, Seoul, South Korea
| | - Seongmin Choi
- Department of Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Ja Hyeon Ku
- Department of Urology, Seoul National University College of Medicine, Seoul, South Korea
| | - Hyeon Hoe Kim
- Department of Urology, Seoul National University College of Medicine, Seoul, South Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, South Korea
| | - Cheol Kwak
- Department of Urology, Seoul National University College of Medicine, Seoul, South Korea.
| |
Collapse
|
208
|
Testa U, Pelosi E, Castelli G. Genetic Alterations in Renal Cancers: Identification of The Mechanisms Underlying Cancer Initiation and Progression and of Therapeutic Targets. MEDICINES (BASEL, SWITZERLAND) 2020; 7:E44. [PMID: 32751108 PMCID: PMC7459851 DOI: 10.3390/medicines7080044] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 07/19/2020] [Accepted: 07/24/2020] [Indexed: 12/26/2022]
Abstract
Renal cell cancer (RCC) involves three most recurrent sporadic types: clear-cell RCC (70-75%, CCRCC), papillary RCCC (10-15%, PRCC), and chromophobe RCC (5%, CHRCC). Hereditary cases account for about 5% of all cases of RCC and are caused by germline pathogenic variants. Herein, we review how a better understanding of the molecular biology of RCCs has driven the inception of new diagnostic and therapeutic approaches. Genomic research has identified relevant genetic alterations associated with each RCC subtype. Molecular studies have clearly shown that CCRCC is universally initiated by Von Hippel Lindau (VHL) gene dysregulation, followed by different types of additional genetic events involving epigenetic regulatory genes, dictating disease progression, aggressiveness, and differential response to treatments. The understanding of the molecular mechanisms that underlie the development and progression of RCC has considerably expanded treatment options; genomic data might guide treatment options by enabling patients to be matched with therapeutics that specifically target the genetic alterations present in their tumors. These new targeted treatments have led to a moderate improvement of the survival of metastatic RCC patients. Ongoing studies based on the combination of immunotherapeutic agents (immune check inhibitors) with VEGF inhibitors are expected to further improve the survival of these patients.
Collapse
Affiliation(s)
- Ugo Testa
- Department of Oncology, Istituto Superiore di Sanità, Vaile Regina Elena 299, 00161 Rome, Italy; (E.P.); (G.C.)
| | | | | |
Collapse
|
209
|
Clark DJ, Zhang H. Proteomic approaches for characterizing renal cell carcinoma. Clin Proteomics 2020; 17:28. [PMID: 32742246 PMCID: PMC7391522 DOI: 10.1186/s12014-020-09291-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 05/15/2020] [Indexed: 12/24/2022] Open
Abstract
Renal cell carcinoma is among the top 15 most commonly diagnosed cancers worldwide, comprising multiple sub-histologies with distinct genomic, proteomic, and clinicopathological features. Proteomic methodologies enable the detection and quantitation of protein profiles associated with the disease state and have been explored to delineate the dysregulated cellular processes associated with renal cell carcinoma. In this review we highlight the reports that employed proteomic technologies to characterize tissue, blood, and urine samples obtained from renal cell carcinoma patients. We describe the proteomic approaches utilized and relate the results of studies in the larger context of renal cell carcinoma biology. Moreover, we discuss some unmet clinical needs and how emerging proteomic approaches can seek to address them. There has been significant progress to characterize the molecular features of renal cell carcinoma; however, despite the large-scale studies that have characterized the genomic and transcriptomic profiles, curative treatments are still elusive. Proteomics facilitates a direct evaluation of the functional modules that drive pathobiology, and the resulting protein profiles would have applications in diagnostics, patient stratification, and identification of novel therapeutic interventions.
Collapse
Affiliation(s)
- David J. Clark
- Department of Pathology, The Johns Hopkins University, Baltimore, MD 21231 USA
| | - Hui Zhang
- Department of Pathology, The Johns Hopkins University, Baltimore, MD 21231 USA
| |
Collapse
|
210
|
Zhao X, Ma Y, Cui J, Zhao H, Liu L, Wang Y, Min P, Zhang L, Chen Y, Du J, Zhang Y, Gu L. FLCN Regulates HIF2α Nuclear Import and Proliferation of Clear Cell Renal Cell Carcinoma. Front Mol Biosci 2020; 7:121. [PMID: 32850947 PMCID: PMC7399043 DOI: 10.3389/fmolb.2020.00121] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 05/25/2020] [Indexed: 12/22/2022] Open
Abstract
Aims and Hypothesis: This study aims to explore the specific molecular mechanism of folliculin (FLCN)-induced proliferation, migration, and invasion in clear cell renal cell carcinoma (ccRCC) and to investigate the relationship of FLCN and HIF2α. Folliculin was identified as a tumor suppressor gene. Its deletions and mutations are associated with a potential risk of renal cancer. At present, the specific molecular mechanism of FLCN-induced proliferation, invasion, and migration in ccRCC remains elusive. Methods: Cell proliferation was measured by flow cytometry analysis, while cell migration and invasion were measured by wound healing assay and Matrigel invasion assay. The expression of FLCN, HIF2α, MMP9, and p-AKT was examined by Western blotting. The cells were transfected with plasmids or siRNA to upregulate or downregulate the expression of FLCN. Immunofluorescence microscopy was carried out to display the HIF2α location. We also determined the correlation of FLCN and HIF2α in human renal cancer samples. Results: FLCN was combined with HIF2α in renal tubular epithelial and cancer cells, and it effectively alleviates the deterioration of renal cancer cells by degrading HIF2α. The silencing of FLCN showed a promotion of HIF2α protein expression via PI3K/mTORC2 pathway, which in turn led to an increase in downstream target genes Cyclin D1 and MMP9. Moreover, interfering with siFLCN advanced the time of HIF2α entry into the nucleus. Conclusions: Our study illustrated that FLCN could be a new therapeutic target in ccRCC. FLCN combined with HIF2α and identified a novel PI3K/mTORC2/HIF2α signaling in ccRCC cells.
Collapse
Affiliation(s)
- Xuyang Zhao
- Department of Biochemistry and Molecular Biology, Nanjing Medical University, Nanjing, China.,Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Yadong Ma
- Department of Physiology, Nanjing Medical University, Nanjing, China
| | - Jie Cui
- Department of Physiology, Xuzhou Medical University, Xuzhou, China
| | - Haiyang Zhao
- State Key Laboratory of Reproductive Medicine, Department of Anatomy, Histology and Embryology, Nanjing Medical University, Nanjing, China
| | - Lei Liu
- Department of Physiology, Xuzhou Medical University, Xuzhou, China
| | - Yueyuan Wang
- Department of Physiology, Nanjing Medical University, Nanjing, China
| | - Pengxiang Min
- Department of Physiology, Nanjing Medical University, Nanjing, China
| | - Lin Zhang
- Department of Physiology, Xuzhou Medical University, Xuzhou, China
| | - Yongchang Chen
- Department of Physiology, Jiangsu University, Zhenjiang, China
| | - Jun Du
- Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Department of Physiology, Nanjing Medical University, Nanjing, China
| | - Yujie Zhang
- Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Department of Physiology, Nanjing Medical University, Nanjing, China
| | - Luo Gu
- Department of Biochemistry and Molecular Biology, Nanjing Medical University, Nanjing, China.,Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Department of Physiology, Nanjing Medical University, Nanjing, China
| |
Collapse
|
211
|
Abstract
Molecular alterations in cancer can cause phenotypic changes in tumor cells and their micro-environment. Routine histopathology tissue slides - which are ubiquitously available - can reflect such morphological changes. Here, we show that deep learning can consistently infer a wide range of genetic mutations, molecular tumor subtypes, gene expression signatures and standard pathology biomarkers directly from routine histology. We developed, optimized, validated and publicly released a one-stop-shop workflow and applied it to tissue slides of more than 5000 patients across multiple solid tumors. Our findings show that a single deep learning algorithm can be trained to predict a wide range of molecular alterations from routine, paraffin-embedded histology slides stained with hematoxylin and eosin. These predictions generalize to other populations and are spatially resolved. Our method can be implemented on mobile hardware, potentially enabling point-of-care diagnostics for personalized cancer treatment. More generally, this approach could elucidate and quantify genotype-phenotype links in cancer.
Collapse
|
212
|
Panda A, Yadav A, Yeerna H, Singh A, Biehl M, Lux M, Schulz A, Klecha T, Doniach S, Khiabanian H, Ganesan S, Tamayo P, Bhanot G. Tissue- and development-stage-specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples. Nucleic Acids Res 2020; 48:7079-7098. [PMID: 32525984 PMCID: PMC7367157 DOI: 10.1093/nar/gkaa485] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 05/20/2020] [Accepted: 05/28/2020] [Indexed: 12/26/2022] Open
Abstract
We give results from a detailed analysis of human Ribosomal Protein (RP) levels in normal and cancer samples and cell lines from large mRNA, copy number variation and ribosome profiling datasets. After normalizing total RP mRNA levels per sample, we find highly consistent tissue specific RP mRNA signatures in normal and tumor samples. Multiple RP mRNA-subtypes exist in several cancers, with significant survival and genomic differences. Some RP mRNA variations among subtypes correlate with copy number loss of RP genes. In kidney cancer, RP subtypes map to molecular subtypes related to cell-of-origin. Pan-cancer analysis of TCGA data showed widespread single/double copy loss of RP genes, without significantly affecting survival. In several cancer cell lines, CRISPR-Cas9 knockout of RP genes did not affect cell viability. Matched RP ribosome profiling and mRNA data in humans and rodents stratified by tissue and development stage and were strongly correlated, showing that RP translation rates were proportional to mRNA levels. In a small dataset of human adult and fetal tissues, RP protein levels showed development stage and tissue specific heterogeneity of RP levels. Our results suggest that heterogeneous RP levels play a significant functional role in cellular physiology, in both normal and disease states.
Collapse
Affiliation(s)
- Anshuman Panda
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
| | - Anupama Yadav
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Huwate Yeerna
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92103, USA
| | - Amartya Singh
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
| | - Michael Biehl
- Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Nijenborgh 9, NL-9747 AG Groningen, The Netherlands
| | - Markus Lux
- Cognitive Interaction Technology (CITEC), Bielefeld University, Inspiration 1, D-33619 Bielefeld, Germany
| | - Alexander Schulz
- Cognitive Interaction Technology (CITEC), Bielefeld University, Inspiration 1, D-33619 Bielefeld, Germany
| | - Tyler Klecha
- Department of Molecular Biology and Biochemistry, Rutgers University, Piscataway, NJ,08854, USA
| | - Sebastian Doniach
- Department of Applied Physics, Stanford University, Palo Alto, CA 94305, USA
| | | | - Shridar Ganesan
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
| | - Pablo Tamayo
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92103, USA
- School of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Gyan Bhanot
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92103, USA
- Department of Molecular Biology and Biochemistry, Rutgers University, Piscataway, NJ,08854, USA
- Department of Physics and Astronomy, Rutgers University, Piscataway, NJ 08854, USA
| |
Collapse
|
213
|
in der Stroth L, Tharehalli U, Günes C, Lechel A. Telomeres and Telomerase in the Development of Liver Cancer. Cancers (Basel) 2020; 12:E2048. [PMID: 32722302 PMCID: PMC7464754 DOI: 10.3390/cancers12082048] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 07/16/2020] [Accepted: 07/22/2020] [Indexed: 02/07/2023] Open
Abstract
Liver cancer is one of the most common cancer types worldwide and the fourth leading cause of cancer-related death. Liver carcinoma is distinguished by a high heterogeneity in pathogenesis, histopathology and biological behavior. Dysregulated signaling pathways and various gene mutations are frequent in hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (iCCA), which represent the two most common types of liver tumors. Both tumor types are characterized by telomere shortening and reactivation of telomerase during carcinogenesis. Continuous cell proliferation, e.g., by oncogenic mutations, can cause extensive telomere shortening in the absence of sufficient telomerase activity, leading to dysfunctional telomeres and genome instability by breakage-fusion-bridge cycles, which induce senescence or apoptosis as a tumor suppressor mechanism. Telomerase reactivation is required to stabilize telomere functionality and for tumor cell survival, representing a genetic risk factor for the development of liver cirrhosis and liver carcinoma. Therefore, telomeres and telomerase could be useful targets in hepatocarcinogenesis. Here, we review similarities and differences between HCC and iCCA in telomere biology.
Collapse
Affiliation(s)
- Lena in der Stroth
- Department of Internal Medicine I, University Hospital Ulm, 89081 Ulm, Germany; (L.i.d.S.); (U.T.)
| | - Umesh Tharehalli
- Department of Internal Medicine I, University Hospital Ulm, 89081 Ulm, Germany; (L.i.d.S.); (U.T.)
| | - Cagatay Günes
- Department of Urology, University Hospital Ulm, 89081 Ulm, Germany;
| | - André Lechel
- Department of Internal Medicine I, University Hospital Ulm, 89081 Ulm, Germany; (L.i.d.S.); (U.T.)
| |
Collapse
|
214
|
Xiao Y, Clima R, Busch J, Rabien A, Kilic E, Villegas SL, Timmermann B, Attimonelli M, Jung K, Meierhofer D. Decreased Mitochondrial DNA Content Drives OXPHOS Dysregulation in Chromophobe Renal Cell Carcinoma. Cancer Res 2020; 80:3830-3840. [PMID: 32694149 DOI: 10.1158/0008-5472.can-20-0754] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 06/25/2020] [Accepted: 07/16/2020] [Indexed: 11/16/2022]
Abstract
Chromophobe renal cell carcinoma (chRCC) and renal oncocytoma are closely related, rare kidney tumors. Mutations in complex I (CI)-encoding genes play an important role in dysfunction of the oxidative phosphorylation (OXPHOS) system in renal oncocytoma, but are less frequently observed in chRCC. As such, the relevance of OXPHOS status and role of CI mutations in chRCC remain unknown. To address this issue, we performed proteome and metabolome profiling as well as mitochondrial whole-exome sequencing to detect mitochondrial alterations in chRCC tissue specimens. Multiomic analysis revealed downregulation of electron transport chain (ETC) components in chRCC that differed from the expression profile in renal oncocytoma. A decrease in mitochondrial (mt)DNA content, rather than CI mutations, was the main cause for reduced OXPHOS in chRCC. There was a negative correlation between protein and transcript levels of nuclear DNA- but not mtDNA-encoded ETC complex subunits in chRCC. In addition, the reactive oxygen species scavenger glutathione (GSH) was upregulated in chRCC due to decreased expression of proteins involved in GSH degradation. These results demonstrate that distinct mechanisms of OXPHOS exist in chRCC and renal oncocytoma and that expression levels of ETC complex subunits can serve as a diagnostic marker for this rare malignancy. SIGNIFICANCE: These findings establish potential diagnostic markers to distinguish malignant chRCC from its highly similar but benign counterpart, renal oncocytoma.
Collapse
Affiliation(s)
- Yi Xiao
- Max Planck Institute for Molecular Genetics, Berlin, Germany.,Department of Biology, Chemistry, Pharmacy, Freie Universität Berlin, Berlin, Germany
| | - Rosanna Clima
- Department of Biosciences, Biotechnology, and Biopharmaceutics, University of Bari, Bari, Italy.,Department of Medical and Surgical Sciences-DIMEC, Medical Genetics Unit, University of Bologna, Bologna, Italy
| | - Jonas Busch
- Department of Urology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Anja Rabien
- Department of Urology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Berlin Institute for Urologic Research, Berlin, Germany
| | - Ergin Kilic
- Institut für Pathologie am Klinikum Leverkusen, Leverkusen, Germany.,Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Sonia L Villegas
- Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | | | - Marcella Attimonelli
- Department of Biosciences, Biotechnology, and Biopharmaceutics, University of Bari, Bari, Italy
| | - Klaus Jung
- Department of Urology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Berlin Institute for Urologic Research, Berlin, Germany
| | | |
Collapse
|
215
|
Liu YJ, Ussakli C, Antic T, Liu Y, Wu Y, True L, Tretiakova MS. Sporadic oncocytic tumors with features intermediate between oncocytoma and chromophobe renal cell carcinoma: comprehensive clinicopathological and genomic profiling. Hum Pathol 2020; 104:18-29. [PMID: 32673684 DOI: 10.1016/j.humpath.2020.07.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 06/26/2020] [Accepted: 07/01/2020] [Indexed: 01/12/2023]
Abstract
Morphology, clinical behavior, and genomic profiles of renal oncocytoma (RO) and its malignant counterpart chromophobe renal cell carcinoma (ChRCC) are distinctly different. However, there is a substantial group of sporadic oncocytic tumors with peculiar hybrid phenotypes as well as a perplexing degree of morphologic and immunohistochemical overlap between classic RO and ChRCC with eosinophilic cytoplasm. The aim of this study is to provide detailed characterization of these hybrid tumors.Thirty-eight sporadic oncocytic neoplasms with ambiguous morphology from two institutions were reviewed by 4 pathologists. CKIT positivity was used as a selection criterion. We correlated CK7 and S100A1 immunostaining and detailed morphologic features with cytogenetic profiles. DNA from the formalin-fixed paraffin-embedded tissues was extracted and analyzed using cytogenomic microarray analysis (CMA) to evaluate copy number alterations (CNA) and ploidy. CMA categorized cases into 3 groups: RO (N = 21), RO variant (N = 7), and ChRCC (N = 10). Cytogenetic RO had either no CNA (48%) or loss of chromosome 1p, X, or Y (52%). RO variant had additional chromosomal losses [-9q, -14 (n = 2), -13] and chromosomal gains [+1q (n = 2), +4, +7 (n = 2), +13, +19, +20, and +22]. ChRCCs were either hypodiploid with numerous monosomies (40%) or hypotetraploid with multiple relative losses (60%). RO, RO variant, and ChRCC groups differed significantly in tumor architecture (p < 0.01), stroma (p = 0.013), presence of nuclear wrinkling, perinuclear halos, and well-defined cell borders in >5% of cells (p < 0.01), focal cell clearing (p = 0.048) and CK7 expression (p < 0.02). Pathologic prediction of the cytogenetic subtype using only two categories (benign RO or malignant ChRCC) would overcall or undercall up to 40% of tumors that were ChRCC based on cytogenetics. This finding provides the rationale for an intermediate diagnostic category of the so-called hybrid tumors (hybrid oncocytic/chromophobe tumor [HOCT]). HOCT was a heterogeneous group enriched for cytogenetic RO variant. Other HOCTs have a profile of either RO or ChRCC. The genomic profile allows classification of oncocytic tumors with ambiguous morphology into RO, RO variant, and ChRCC. Several architectural and cytologic features combined with CK7 expression are significantly associated with cytogenetic RO, RO variant, or ChRCC tumors. Doubled hypodiploidy by whole-genome endoduplication is a common phenomenon in eosinophilic ChRCC.
Collapse
Affiliation(s)
- Yajuan J Liu
- Department of Pathology, University of Washington, Seattle, WA, 98105, United States.
| | | | - Tatjana Antic
- Department of Pathology, University of Chicago, Chicago, IL, 60637, United States
| | - Yuhua Liu
- Department of Pathology, University of Washington, Seattle, WA, 98105, United States
| | - Yu Wu
- Department of Pathology, University of Washington, Seattle, WA, 98105, United States
| | - Lawrence True
- Department of Pathology, University of Washington, Seattle, WA, 98105, United States
| | - Maria S Tretiakova
- Department of Pathology, University of Washington, Seattle, WA, 98105, United States.
| |
Collapse
|
216
|
Di Mauro I, Ambrosetti D, Vignot L, Roussel JF, Dadone-Montaudie B, Peyron AC, Quintens H, Durand M, Amiel J, Pedeutour F. Detection of tetraploidization in chromophobe renal cell carcinoma: Insights and pitfalls. Genes Chromosomes Cancer 2020; 59:675-687. [PMID: 32658344 DOI: 10.1002/gcc.22886] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 07/10/2020] [Accepted: 07/10/2020] [Indexed: 11/07/2022] Open
Abstract
Chromosomal losses resulting in a marked hypodiploidy are a specificity of chromophobe renal cell carcinoma (ChRCC), the third most frequent type of kidney cancer. Its detection is useful in challenging cases. However some ChRCC, especially the eosinophilic variant, do not exhibit hypodiploidy and deserve to be better explored. Using comparative genomic hybridization (array-CGH) we observed chromosomal gains in five cases of nonmetastatic ChRCC. Our objective was to determine whether these apparent chromosomal gains were instead losses within a near-polyploid genome. We performed a retrospective and prospective molecular study of 26 cases of ChRCC retrieved among 643 renal tumors (2012-2019). All tumors were analyzed using array-CGH (Agilent) and array-CGH (Affymetrix) coupled to single nucleotide polymorphism analysis (array-SNP). In silico manual centralization of the fluorescence ratio, fluorescence in situ hybridization (FISH) and next generation sequencing were made in the five cases suspected of polyploidy. Tetraploidization was observed in 19% of our series of ChRCC. None of the methods used individually could identify both chromosomal losses and tetraploidy. Only the combination of manual recentring of array-CGH and FISH provided relevant results. B-allele frequency results indicated that tetraploidization occurred secondarily to chromosomal losses in four cases while it preceded losses in one case. Tetraploidization is a frequent but underestimated phenomenon in ChRCC that may be overlooked using the individual standard genomic methods. Its potential clinical consequences are not identified yet. Whether the mechanisms that induce chromosomal losses in ChRCC are the same that generate tetraploidization is not known.
Collapse
Affiliation(s)
- Ilaria Di Mauro
- Laboratory of Solid Tumor Genetics, University Hospital of Nice-Côte d'Azur University, Nice, France
- Laboratory of Solid Tumor Genetics, Institute for Research on Cancer and Aging of Nice (IRCAN), Nice, France
| | - Damien Ambrosetti
- Laboratory of Solid Tumor Genetics, Institute for Research on Cancer and Aging of Nice (IRCAN), Nice, France
- Central Laboratory of Pathology, University Hospital of Nice-Côte d'Azur University, Nice, France
| | - Louis Vignot
- Laboratory of Solid Tumor Genetics, Institute for Research on Cancer and Aging of Nice (IRCAN), Nice, France
- Department of Urology, University Hospital of Nice-Côte d'Azur University, Nice, France
| | | | - Bérengère Dadone-Montaudie
- Laboratory of Solid Tumor Genetics, University Hospital of Nice-Côte d'Azur University, Nice, France
- Laboratory of Solid Tumor Genetics, Institute for Research on Cancer and Aging of Nice (IRCAN), Nice, France
- Central Laboratory of Pathology, University Hospital of Nice-Côte d'Azur University, Nice, France
| | - Annie-Claude Peyron
- Laboratory of Solid Tumor Genetics, University Hospital of Nice-Côte d'Azur University, Nice, France
- Laboratory of Solid Tumor Genetics, Institute for Research on Cancer and Aging of Nice (IRCAN), Nice, France
| | - Hervé Quintens
- Department of Urology, Princess Grace Hospital, Monaco, Monaco
| | - Matthieu Durand
- Laboratory of Solid Tumor Genetics, Institute for Research on Cancer and Aging of Nice (IRCAN), Nice, France
- Department of Urology, University Hospital of Nice-Côte d'Azur University, Nice, France
| | - Jean Amiel
- Laboratory of Solid Tumor Genetics, Institute for Research on Cancer and Aging of Nice (IRCAN), Nice, France
- Department of Urology, University Hospital of Nice-Côte d'Azur University, Nice, France
| | - Florence Pedeutour
- Laboratory of Solid Tumor Genetics, University Hospital of Nice-Côte d'Azur University, Nice, France
- Laboratory of Solid Tumor Genetics, Institute for Research on Cancer and Aging of Nice (IRCAN), Nice, France
| |
Collapse
|
217
|
Midorikawa Y, Yamamoto S, Tatsuno K, Renard-Guillet C, Tsuji S, Hayashi A, Ueda H, Fukuda S, Fujita T, Katoh H, Ishikawa S, Covington KR, Creighton CJ, Sugitani M, Wheeler DA, Shibata T, Nagae G, Takayama T, Aburatani H. Accumulation of Molecular Aberrations Distinctive to Hepatocellular Carcinoma Progression. Cancer Res 2020; 80:3810-3819. [DOI: 10.1158/0008-5472.can-20-0225] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 05/01/2020] [Accepted: 07/02/2020] [Indexed: 11/16/2022]
|
218
|
Liu Y, Li C, Shen S, Chen X, Szlachta K, Edmonson MN, Shao Y, Ma X, Hyle J, Wright S, Ju B, Rusch MC, Liu Y, Li B, Macias M, Tian L, Easton J, Qian M, Yang JJ, Hu S, Look AT, Zhang J. Discovery of regulatory noncoding variants in individual cancer genomes by using cis-X. Nat Genet 2020; 52:811-818. [PMID: 32632335 PMCID: PMC7679232 DOI: 10.1038/s41588-020-0659-5] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Accepted: 06/05/2020] [Indexed: 12/30/2022]
Abstract
We developed cis-X, a computational method for discovering regulatory noncoding variants in cancer by integrating whole-genome and transcriptome sequencing data from a single cancer sample. cis-X first finds aberrantly cis-activated genes that exhibit allele-specific expression accompanied by an elevated outlier expression. It then searches for causal noncoding variants that may introduce aberrant transcription factor binding motifs or enhancer hijacking by structural variations. Analysis of 13 T-lineage acute lymphoblastic leukemias identified a recurrent intronic variant predicted to cis-activate the TAL1 oncogene, a finding validated in vivo by chromatin immunoprecipitation sequencing of a patient-derived xenograft. Candidate oncogenes include the prolactin receptor PRLR activated by a focal deletion that removes a CTCF-insulated neighborhood boundary. cis-X may be applied to pediatric and adult solid tumors that are aneuploid and heterogeneous. In contrast to existing approaches, which require large sample cohorts, cis-X enables the discovery of regulatory noncoding variants in individual cancer genomes.
Collapse
Affiliation(s)
- Yu Liu
- Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China. .,Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
| | - Chunliang Li
- Department of Tumor Cell Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Shuhong Shen
- Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Key Laboratory of Pediatric Hematology & Oncology Ministry of Health, Department of Hematology & Oncology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaolong Chen
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Karol Szlachta
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Michael N Edmonson
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Ying Shao
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Xiaotu Ma
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Judith Hyle
- Department of Tumor Cell Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Shaela Wright
- Department of Tumor Cell Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Bensheng Ju
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Michael C Rusch
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Yanling Liu
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Benshang Li
- Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Key Laboratory of Pediatric Hematology & Oncology Ministry of Health, Department of Hematology & Oncology, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Michael Macias
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Liqing Tian
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - John Easton
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Maoxiang Qian
- Department of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jun J Yang
- Department of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA.,Hematological Malignancies Program, St. Jude Children's Research Hospital, Memphis, TN, USA.,Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Shaoyan Hu
- Children's Hospital of Soochow University, Suzhou, China
| | - A Thomas Look
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Division of Pediatric Hematology-Oncology, Boston Children's Hospital, Boston, MA, USA
| | - Jinghui Zhang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
| |
Collapse
|
219
|
Abstract
Background Gene fusions have been studied extensively, as frequent drivers of tumorigenesis as well as potential therapeutic targets. In many well-known cases, breakpoints occur at two intragenic positions, leading to in-frame gene-gene fusions that generate chimeric mRNAs. However, fusions often occur with intergenic breakpoints, and the role of such fusions has not been carefully examined. Results We analyze whole-genome sequencing data from 268 patients to catalog gene-intergenic and intergenic-intergenic fusions and characterize their impact. First, we discover that, in contrast to the common assumption, chimeric oncogenic transcripts—such as those involving ETV4, ERG, RSPO3, and PIK3CA—can be generated by gene-intergenic fusions through splicing of the intervening region. Second, we find that over-expression of an upstream or downstream gene by a fusion-mediated repositioning of a regulatory sequence is much more common than previously suspected, with enhancers sometimes located megabases away. We detect a number of recurrent fusions, such as those involving ANO3, RGS9, FUT5, CHI3L1, OR1D4, and LIPG in breast; IGF2 in colon; ETV1 in prostate; and IGF2BP3 and SIX2 in thyroid cancers. Conclusion Our findings elucidate the potential oncogenic function of intergenic fusions and highlight the wide-ranging consequences of structural rearrangements in cancer genomes.
Collapse
|
220
|
Williamson SR, Gill AJ, Argani P, Chen YB, Egevad L, Kristiansen G, Grignon DJ, Hes O. Report From the International Society of Urological Pathology (ISUP) Consultation Conference on Molecular Pathology of Urogenital Cancers: III: Molecular Pathology of Kidney Cancer. Am J Surg Pathol 2020; 44:e47-e65. [PMID: 32251007 PMCID: PMC7289677 DOI: 10.1097/pas.0000000000001476] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Renal cell carcinoma (RCC) subtypes are increasingly being discerned via their molecular underpinnings. Frequently this can be correlated to histologic and immunohistochemical surrogates, such that only simple targeted molecular assays, or none at all, are needed for diagnostic confirmation. In clear cell RCC, VHL mutation and 3p loss are well known; however, other genes with emerging important roles include SETD2, BAP1, and PBRM1, among others. Papillary RCC type 2 is now known to include likely several different molecular entities, such as fumarate hydratase (FH) deficient RCC. In MIT family translocation RCC, an increasing number of gene fusions are now described. Some TFE3 fusion partners, such as NONO, GRIPAP1, RBMX, and RBM10 may show a deceptive fluorescence in situ hybridization result due to the proximity of the genes on the same chromosome. FH and succinate dehydrogenase deficient RCC have implications for patient counseling due to heritable syndromes and the aggressiveness of FH-deficient RCC. Immunohistochemistry is increasingly available and helpful for recognizing both. Emerging tumor types with strong evidence for distinct diagnostic entities include eosinophilic solid and cystic RCC and TFEB/VEGFA/6p21 amplified RCC. Other emerging entities that are less clearly understood include TCEB1 mutated RCC, RCC with ALK rearrangement, renal neoplasms with mutations of TSC2 or MTOR, and RCC with fibromuscular stroma. In metastatic RCC, the role of molecular studies is not entirely defined at present, although there may be an increasing role for genomic analysis related to specific therapy pathways, such as for tyrosine kinase or MTOR inhibitors.
Collapse
MESH Headings
- Biomarkers, Tumor/genetics
- Biomarkers, Tumor/metabolism
- Carcinoma, Renal Cell/diagnosis
- Carcinoma, Renal Cell/genetics
- Carcinoma, Renal Cell/metabolism
- Carcinoma, Renal Cell/pathology
- Humans
- Immunohistochemistry
- In Situ Hybridization, Fluorescence
- Kidney Neoplasms/diagnosis
- Kidney Neoplasms/genetics
- Kidney Neoplasms/metabolism
- Kidney Neoplasms/pathology
- Mutation
- Neoplasm Metastasis
- Neoplastic Syndromes, Hereditary/diagnosis
- Neoplastic Syndromes, Hereditary/genetics
- Neoplastic Syndromes, Hereditary/metabolism
- Neoplastic Syndromes, Hereditary/pathology
- Pathology, Clinical
- Pathology, Molecular
- Prognosis
- Societies, Medical
- Urology
Collapse
Affiliation(s)
- Sean R Williamson
- Department of Pathology and Laboratory Medicine and Henry Ford Cancer Institute, Henry Ford Health System
- Department of Pathology, Wayne State University School of Medicine, Detroit, MI
| | - Anthony J Gill
- NSW Health Pathology, Department of Anatomical Pathology
- Cancer Diagnosis and Pathology Research Group, Kolling Institute of Medical Research, Royal North Shore Hospital, St Leonards
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Pedram Argani
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Ying-Bei Chen
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Lars Egevad
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
| | | | - David J Grignon
- Department of Pathology, Indiana University School of Medicine, Indianapolis, IN
| | - Ondrej Hes
- Department of Pathology, Charles University, Medical Faculty and Charles University Hospital Plzen, Pilsen, Czechia
| |
Collapse
|
221
|
Hsieh JJ, Cheng EH. Exploiting the circuit breaker cancer evolution model in human clear cell renal cell carcinoma. Cell Stress 2020; 4:191-198. [PMID: 32743344 PMCID: PMC7380452 DOI: 10.15698/cst2020.08.227] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Revised: 06/16/2020] [Accepted: 06/17/2020] [Indexed: 12/12/2022] Open
Abstract
The incessant interactions between susceptible humans and their respective macro/microenvironments registered throughout their lifetime result in the ultimate manifestation of individual cancers. With the average lifespan exceeding 50 years of age in humans since the beginning of 20th century, aging - the "time" factor - has played an ever-increasing role alongside host and environmental factors in cancer incidences. Cancer is a genetic/epigenetic disease due to gain-of-function mutations in cancer-causing genes (oncogene; OG) and/or loss-of-function mutations in tumor-suppressing genes (tumor suppressor genes; TSG). In addition to their integral relationship with cancer, a timely deployment of specific OG and/or TSG is in fact needed for higher organisms like human to cope with respective physiological and pathological conditions. Over the past decade, extensive human kidney cancer genomics have been performed and novel mouse models recapitulating human kidney cancer pathobiology have been generated. With new genomic, genetic, mechanistic, clinical and therapeutic insights accumulated from studying clear cell renal cell carcinoma (ccRCC)-the most common type of kidney cancer, we conceived a cancer evolution model built upon the OG-TSG signaling pair analogous to the electrical circuit breaker (CB) that permits necessary signaling output and at the same time prevent detrimental signaling overdrive. Hence, this viewpoint aims at providing a step-by-step mechanistic explanation/illustration concerning how inherent OG-TSG CBs intricately operate in concert for the organism's wellbeing; and how somatic mutations, the essential component for genetic adaptability, inadvertently triggers a sequential outage of specific sets of CBs that normally function to maintain and protect and individual tissue homeostasis.
Collapse
Affiliation(s)
- James J. Hsieh
- Molecular Oncology, Department of Medicine, Washington University, St. Louis, MO 63110, USA
| | - Emily H. Cheng
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, Cornell University, New York, NY 10065, USA
| |
Collapse
|
222
|
Cimadamore A, Aurilio G, Nolé F, Massari F, Scarpelli M, Santoni M, Lopez-Beltran A, Cheng L, Montironi R. Update on Circulating Tumor Cells in Genitourinary Tumors with Focus on Prostate Cancer. Cells 2020; 9:E1495. [PMID: 32575429 PMCID: PMC7348874 DOI: 10.3390/cells9061495] [Citation(s) in RCA: 6] [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: 05/25/2020] [Revised: 06/12/2020] [Accepted: 06/17/2020] [Indexed: 02/06/2023] Open
Abstract
Current developments in the treatment of genitourinary tumors underline the unmet clinical need for biomarkers to improve decision-making in a challenging clinical setting. The detection of circulating tumor cells (CTCs) has become one of the most exciting and important new approaches to identifying biomarkers at different stages of disease in a non-invasive way. Potential applications of CTCs include monitoring treatment efficacy and early detection of progression, selecting tailored therapies, as well as saving treatment costs. However, despite the promising implementation of CTCs in a clinical scenario, the isolation and characterization of these cells for molecular studies remain expensive with contemporary platforms, and significant technical challenges still need to be overcome. This updated, critical review focuses on the state of CTCs in patients with genitourinary tumor with focus on prostate cancer, discussing technical issues, main clinical results and hypothesizing potential future perspectives in clinical scenarios.
Collapse
Affiliation(s)
- Alessia Cimadamore
- Section of Pathological Anatomy, Faculty of Medicine, Polytechnic University of the Marche Region, United Hospitals, 60126 Ancona, Italy; (M.S.); (R.M.)
| | - Gaetano Aurilio
- Department of Medical Oncology, Division of Urogenital and Head and Neck Tumours, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy; (G.A.); (F.N.)
| | - Franco Nolé
- Department of Medical Oncology, Division of Urogenital and Head and Neck Tumours, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy; (G.A.); (F.N.)
| | - Francesco Massari
- Division of Oncology, S. Orsola-Malpighi Hospital, 40138 Bologna, Italy;
| | - Marina Scarpelli
- Section of Pathological Anatomy, Faculty of Medicine, Polytechnic University of the Marche Region, United Hospitals, 60126 Ancona, Italy; (M.S.); (R.M.)
| | - Matteo Santoni
- Oncology Unit, Macerata Hospital, 62100 Macerata, Italy;
| | | | - Liang Cheng
- Department of Pathology and Laboratory Medicine, School of Medicine, Indiana University, Indianapolis, IN 462020, USA;
| | - Rodolfo Montironi
- Section of Pathological Anatomy, Faculty of Medicine, Polytechnic University of the Marche Region, United Hospitals, 60126 Ancona, Italy; (M.S.); (R.M.)
| |
Collapse
|
223
|
Abstract
The treatment landscape of metastatic renal cell carcinoma (RCC) has been revolutionized over the past two decades, bringing forth an era in which more than a dozen therapeutic agents are now available to treat patients. As a consequence, personalized care has become a critical part of developing effective treatment guidelines and improving patient outcomes. One of the most important emerging aspects of precision medicine in cancer is matching patients and treatments based on the genomic characteristics of an individual and their tumour. Despite the lack of a single genomic predictor of treatment response or prognostication feature in RCC, emerging research suggests that the identification of such markers remains promising. Mutations in VHL and alterations in its downstream pathways are the mainstay of RCC development and progression. However, the predictive value of VHL mutations has been questioned. Further research has examined mutations in genes involved in chromosome remodelling (for example, PBRM1, BAP1 and SETD2), DNA methylation and DNA damage repair, all of which have been associated with clinical outcomes. Here, we provide a comprehensive overview of genomic evidence in the context of RCC and its potential predictive and prognostic value.
Collapse
|
224
|
The genomic and epigenomic evolutionary history of papillary renal cell carcinomas. Nat Commun 2020; 11:3096. [PMID: 32555180 PMCID: PMC7303129 DOI: 10.1038/s41467-020-16546-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 05/10/2020] [Indexed: 12/12/2022] Open
Abstract
Intratumor heterogeneity (ITH) and tumor evolution have been well described for clear cell renal cell carcinomas (ccRCC), but they are less studied for other kidney cancer subtypes. Here we investigate ITH and clonal evolution of papillary renal cell carcinoma (pRCC) and rarer kidney cancer subtypes, integrating whole-genome sequencing and DNA methylation data. In 29 tumors, up to 10 samples from the center to the periphery of each tumor, and metastatic samples in 2 cases, enable phylogenetic analysis of spatial features of clonal expansion, which shows congruent patterns of genomic and epigenomic evolution. In contrast to previous studies of ccRCC, in pRCC, driver gene mutations and most arm-level somatic copy number alterations (SCNAs) are clonal. These findings suggest that a single biopsy would be sufficient to identify the important genetic drivers and that targeting large-scale SCNAs may improve pRCC treatment, which is currently poor. While type 1 pRCC displays near absence of structural variants (SVs), the more aggressive type 2 pRCC and the rarer subtypes have numerous SVs, which should be pursued for prognostic significance.
Collapse
|
225
|
Abstract
Variant histology renal cell carcinoma (vRCC) encompasses rare non-clear cell subtypes that have long been associated with poor prognosis and minimal response to therapies targeting vascular endothelial growth factor and its receptor. Molecular advances have helped classify vRCC into distinct entities and identify putative targetable driver alterations, such as MET in papillary subtypes. More have since been identified in other vRCC subtypes, including alterations of tumor metabolism, chromatin remodeling genes, cell-cycle genes, and inactivation of tumor suppressors such as TP53 or NF2. New targeted therapies, as well as immune checkpoint inhibitors, have been in development and yielded encouraging results. Collaborative clinical trials will be an essential step toward better implementation of these regimens in clinical practice.
Collapse
|
226
|
Les cancers du rein non à cellules claires : caractéristiques clinico-biologiques et prise en charge thérapeutique hors chirurgie. Bull Cancer 2020; 107:S56-S65. [DOI: 10.1016/s0007-4551(20)30279-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
|
227
|
Tong K, Zhu W, Fu H, Cao F, Wang S, Zhou W, Liu C, Chen D, Fan S, Hu Z. Frequent
KRAS
mutations in oncocytic papillary renal neoplasm with inverted nuclei. Histopathology 2020; 76:1070-1083. [DOI: https:/doi.org/10.1111/his.14084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Affiliation(s)
- Kuo Tong
- Department of Pathology Xiangya HospitalCentral South University Changsha China
- Department of Pathology The Bishan Hospital of Chongqing Chongqing China
- Department of Pathology School of Basic Medical Science Central South University Changsha China
| | - Wei Zhu
- Department of Pathology Xiangya HospitalCentral South University Changsha China
| | - Hua Fu
- Department of Pathology The Third Xiangya HospitalCentral South University Changsha China
| | - Fang Cao
- Department of Pathology Hunan Cancer Hospital Changsha China
| | - Shu Wang
- Department of Pathology Hunan Cancer Hospital Changsha China
| | - Wenxuan Zhou
- Department of Pathology Xiangya HospitalCentral South University Changsha China
- Department of Pathology School of Basic Medical Science Central South University Changsha China
| | - Chongmei Liu
- Department of Pathology Yueyang Second People's Hospital Yueyang China
| | - Dongliang Chen
- Department of Pathology Zhuzhou Central Hospital Zhuzhou China
| | - Songqing Fan
- Department of Pathology The Second Xiangya HospitalCentral South University Changsha China
| | - Zhongliang Hu
- Department of Pathology Xiangya HospitalCentral South University Changsha China
- Department of Pathology School of Basic Medical Science Central South University Changsha China
| |
Collapse
|
228
|
Bersanelli M, Brunelli M, Gnetti L, Maestroni U, Buti S. Pazopanib as a possible option for the treatment of metastatic non-clear cell renal carcinoma patients: a systematic review. Ther Adv Med Oncol 2020; 12:1758835920915303. [PMID: 32550862 PMCID: PMC7278098 DOI: 10.1177/1758835920915303] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 03/04/2020] [Indexed: 01/05/2023] Open
Abstract
Background: Effective systemic treatment of non-clear cell renal carcinoma (nccRCC) is
still an unmet clinical need, with few studies to support an evidence-based
approach. To date, the only recommended standard first-line treatment is
sunitinib. Pazopanib may also be used in nccRCC but its place in therapy is
not clearly established. It has comparable efficacy and better tolerability
than sunitinib in clear cell renal carcinoma. Our objective was to review
the use of pazopanib in metastatic nccRCC. Methods: We conducted a systematic review according to PRISMA guidelines. Any type of
study reporting the use of pazopanib in metastatic renal cell carcinoma
including cases with non-clear cell histology was eligible. Results: In all, 15 studies were included in our analysis, including a total of 318
nccRCC patients treated with pazopanib. Most studies were retrospective
(n = 12); three were prospective trials. The specific
outcomes of nccRCC patients were reported by four studies. Pazopanib alone
as first-line treatment gave overall response rates ranging from 27% to 33%,
disease control rates of 81–89%, median progression free survival of
8.1–16.5 months and median overall survival of 17.3–31.0 months. Grade 3–4
adverse events rates were 21–55%. Conclusion: The present review provides for the first time a systematic summary of
evidence about the possible use of pazopanib as first-line treatment for
nccRCC, with a favorable outcome despite the low strength of evidence.
Pazopanib could be considered as a possible therapeutic option in this
setting.
Collapse
Affiliation(s)
- Melissa Bersanelli
- Medical Oncology Unit, University Hospital of Parma, Parma, Italy Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Matteo Brunelli
- Department of Pathology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy
| | - Letizia Gnetti
- Pathologic Anatomy Unit, University Hospital of Parma, Parma, Italy
| | | | - Sebastiano Buti
- Medical Oncology Unit, University Hospital of Parma, Via Gramsci 14, Parma, 43126, Italy
| |
Collapse
|
229
|
Zhang L, Henske EP. Chromophobe renal cell carcinoma: New genetic and metabolic insights. Urol Oncol 2020; 38:678-681. [PMID: 32444178 DOI: 10.1016/j.urolonc.2020.04.035] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 04/08/2020] [Accepted: 04/30/2020] [Indexed: 11/18/2022]
Abstract
Chromophobe renal cell carcinoma (chRCC) represents 5% of all RCC. ChRCC appears to arise from the distal nephron, in contrast to clear cell RCC that arises from the proximal nephron. ChRCC is distinctive because the tumor cells contain abundant abnormal mitochondria, and frequently have loss of one copy of multiple chromosomes, with a low rate of somatic mutations. Here, we focus on recent discoveries related to genetic and metabolic factors that may promote the progression of chRCC and summarize how these findings may relate to the prognosis and treatment of chRCC.
Collapse
Affiliation(s)
- Long Zhang
- Brigham and Women's Hospital, Boston, MA
| | | |
Collapse
|
230
|
Identification of potential novel differentially-expressed genes and their role in invasion and migration in renal cell carcinoma. Aging (Albany NY) 2020; 12:9205-9223. [PMID: 32420905 PMCID: PMC7288970 DOI: 10.18632/aging.103192] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Accepted: 04/17/2020] [Indexed: 02/07/2023]
Abstract
Clear cell renal cell carcinoma (ccRCC) remains one of the most common cancer types globally, and while it has been extensively studied, the molecular basis for its pathology remains incompletely understood. Herein, we profiled three previously published datasets (GSE66272, GSE100666, and GSE105261) in a single integrated analysis aimed at identifying disease-associated patterns of gene expression that may offer mechanistic insight into the drivers of this disease. We pooled expression data from 39 normal kidney samples and 39 kidney tumors, leading us to identify 310 differentially expressed genes (DEGs) that were linked to kidney cancer in all three analyzed datasets. Of these genes, 133 and 177 were up- and down-regulated, respectively, in cancer samples. We then incorporated these DEGs into a protein-protein interaction network with the STRING and Cytoscape tools, and we were able to identify signaling pathways significantly enriched for these DEGs. The relationship between DEG expression and ccRCC patient survival was further evaluated using a Kaplan-Meier approach, leading us to identify TIMP1 as an independent prognostic factor in ccRCC patients. When TIMP1 expression was disrupted in ccRCC cell lines, this impaired their migratory and invasive capabilities. In summary, we employed an integrative bioinformatics approach to identify ccRCC-related DEGs and associated signaling pathways. Together these findings offer novel insight into the mechanistic basis for ccRCC, potentially helping to identify novel therapeutic targets for the treatment of this deadly disease.
Collapse
|
231
|
Tong K, Zhu W, Fu H, Cao F, Wang S, Zhou W, Liu C, Chen D, Fan S, Hu Z. Frequent KRAS mutations in oncocytic papillary renal neoplasm with inverted nuclei. Histopathology 2020; 76:1070-1083. [PMID: 31997427 DOI: 10.1111/his.14084] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Revised: 01/26/2020] [Accepted: 01/27/2020] [Indexed: 12/31/2022]
Abstract
AIMS Papillary renal neoplasm with reverse polarity (PRNRP) is a newly documented rare tumour type. Its molecular pathological features have thus far been very little studied. METHODS AND RESULTS There were 13 PRNRP cases including 3 The Cancer Genome Atlas (TCGA) cases and our 10 cases in this study. The 3 TCGA cases were found by a combined analysis of GATA3 mRNA expression levels and digital slides from the TCGA papillary renal cell carcinoma project. KRAS codon 12 mutations were identified in the three PRNRPs from TCGA. Of our 10 PRNRP cases, the mutations were also discovered using Sanger sequencing in seven (77.8%) of nine cases with available DNA, where KRAS p.G12V (n = 3), p.G12D (n = 2), p.G12R (n = 1) and p.G12C (n = 1) alterations were found. PRNRP shared similar gene expression profiles with renal distal tubules via an interprofile correlation analysis. Gene set enrichment analysis revealed that genes involved in 'KEGG aldosterone regulated sodium reabsorption' or 'hallmark apical surface' were enriched in PRNRP. Moreover, polarised immunostaining patterns for L1CAM and EMA in the distal tubule were maintained in PRNRP. CONCLUSIONS These results imply that the tumour potentially originates from the distal tubule, especially from the cortical collecting duct, and probably retains its cell polarity, except for nuclear inversion. We therefore propose that oncocytic papillary renal neoplasm with inverted nuclei (OPRNIN) is a better name for this tumour type. OPRNIN is a kidney site-specific KRAS mutation neoplasm different from conventional papillary renal cell carcinoma.
Collapse
Affiliation(s)
- Kuo Tong
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, China.,Department of Pathology, The Bishan Hospital of Chongqing, Chongqing, China.,Department of Pathology, School of Basic Medical Science, Central South University, Changsha, China
| | - Wei Zhu
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, China
| | - Hua Fu
- Department of Pathology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Fang Cao
- Department of Pathology, Hunan Cancer Hospital, Changsha, China
| | - Shu Wang
- Department of Pathology, Hunan Cancer Hospital, Changsha, China
| | - Wenxuan Zhou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, China.,Department of Pathology, School of Basic Medical Science, Central South University, Changsha, China
| | - Chongmei Liu
- Department of Pathology, Yueyang Second People's Hospital, Yueyang, China
| | - Dongliang Chen
- Department of Pathology, Zhuzhou Central Hospital, Zhuzhou, China
| | - Songqing Fan
- Department of Pathology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Zhongliang Hu
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, China.,Department of Pathology, School of Basic Medical Science, Central South University, Changsha, China
| |
Collapse
|
232
|
Msaouel P, Malouf GG, Su X, Yao H, Tripathi DN, Soeung M, Gao J, Rao P, Coarfa C, Creighton CJ, Bertocchio JP, Kunnimalaiyaan S, Multani AS, Blando J, He R, Shapiro DD, Perelli L, Srinivasan S, Carbone F, Pilié PG, Karki M, Seervai RNH, Vokshi BH, Lopez-Terrada D, Cheng EH, Tang X, Lu W, Wistuba II, Thompson TC, Davidson I, Giuliani V, Schlacher K, Carugo A, Heffernan TP, Sharma P, Karam JA, Wood CG, Walker CL, Genovese G, Tannir NM. Comprehensive Molecular Characterization Identifies Distinct Genomic and Immune Hallmarks of Renal Medullary Carcinoma. Cancer Cell 2020; 37:720-734.e13. [PMID: 32359397 PMCID: PMC7288373 DOI: 10.1016/j.ccell.2020.04.002] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 02/02/2020] [Accepted: 04/01/2020] [Indexed: 12/26/2022]
Abstract
Renal medullary carcinoma (RMC) is a highly lethal malignancy that mainly afflicts young individuals of African descent and is resistant to all targeted agents used to treat other renal cell carcinomas. Comprehensive genomic and transcriptomic profiling of untreated primary RMC tissues was performed to elucidate the molecular landscape of these tumors. We found that RMC was characterized by high replication stress and an abundance of focal copy-number alterations associated with activation of the stimulator of the cyclic GMP-AMP synthase interferon genes (cGAS-STING) innate immune pathway. Replication stress conferred a therapeutic vulnerability to drugs targeting DNA-damage repair pathways. Elucidation of these previously unknown RMC hallmarks paves the way to new clinical trials for this rare but highly lethal malignancy.
Collapse
MESH Headings
- Adult
- Animals
- Apoptosis
- Biomarkers, Tumor/genetics
- Biomarkers, Tumor/metabolism
- Carcinoma, Medullary/genetics
- Carcinoma, Medullary/immunology
- Carcinoma, Medullary/pathology
- Carcinoma, Renal Cell/genetics
- Carcinoma, Renal Cell/immunology
- Carcinoma, Renal Cell/pathology
- Cell Proliferation
- Chromosome Aberrations
- Cohort Studies
- DNA Copy Number Variations
- DNA Replication
- Female
- Gene Expression Regulation, Neoplastic
- Genomics
- High-Throughput Nucleotide Sequencing
- Humans
- Kidney Neoplasms/genetics
- Kidney Neoplasms/immunology
- Kidney Neoplasms/pathology
- Male
- Membrane Proteins/genetics
- Membrane Proteins/metabolism
- Mice
- Mice, Nude
- Nucleotidyltransferases/genetics
- Nucleotidyltransferases/metabolism
- Prognosis
- Proto-Oncogene Proteins c-myc/genetics
- Proto-Oncogene Proteins c-myc/metabolism
- SMARCB1 Protein/genetics
- SMARCB1 Protein/metabolism
- Tumor Cells, Cultured
- Xenograft Model Antitumor Assays
Collapse
Affiliation(s)
- Pavlos Msaouel
- Department of Genitourinary Medical Oncology, Unit 1374, The University of Texas MD Anderson Cancer Center, 1155 Pressler Street, Houston, TX 77030-3721, USA; Center for Precision Environmental Health, Baylor College of Medicine, Houston, Texas, USA.
| | - Gabriel G Malouf
- Department of Hematology and Oncology, Strasbourg University Hospitals, Strasbourg University, Strasbourg, France; Department of Functional Genomics and Cancer, Institut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS/INSERM/UNISTRA, Illkirch Cedex, France
| | - Xiaoping Su
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Hui Yao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Durga N Tripathi
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, Texas, USA
| | - Melinda Soeung
- Department of Genomic Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Jianjun Gao
- Department of Genitourinary Medical Oncology, Unit 1374, The University of Texas MD Anderson Cancer Center, 1155 Pressler Street, Houston, TX 77030-3721, USA
| | - Priya Rao
- Department of Pathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Cristian Coarfa
- Department of Medicine and Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Chad J Creighton
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Medicine and Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jean-Philippe Bertocchio
- Department of Genitourinary Medical Oncology, Unit 1374, The University of Texas MD Anderson Cancer Center, 1155 Pressler Street, Houston, TX 77030-3721, USA; Center for Precision Environmental Health, Baylor College of Medicine, Houston, Texas, USA
| | - Selvi Kunnimalaiyaan
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Asha S Multani
- Department of Genetics, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Jorge Blando
- Department of Immunology, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Rong He
- Department of Genitourinary Medical Oncology, Unit 1374, The University of Texas MD Anderson Cancer Center, 1155 Pressler Street, Houston, TX 77030-3721, USA
| | - Daniel D Shapiro
- Department of Urology, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Luigi Perelli
- Department of Genitourinary Medical Oncology, Unit 1374, The University of Texas MD Anderson Cancer Center, 1155 Pressler Street, Houston, TX 77030-3721, USA
| | - Sanjana Srinivasan
- Department of Genomic Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA; Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Federica Carbone
- Department of Genitourinary Medical Oncology, Unit 1374, The University of Texas MD Anderson Cancer Center, 1155 Pressler Street, Houston, TX 77030-3721, USA
| | - Patrick G Pilié
- Department of Genitourinary Medical Oncology, Unit 1374, The University of Texas MD Anderson Cancer Center, 1155 Pressler Street, Houston, TX 77030-3721, USA
| | - Menuka Karki
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, Texas, USA
| | - Riyad N H Seervai
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, Texas, USA; Molecular & Cellular Biology Graduate Program, Medical Scientist Training Program, Baylor College of Medicine, Houston, TX 77030, USA
| | - Bujamin H Vokshi
- Department of Hematology and Oncology, Strasbourg University Hospitals, Strasbourg University, Strasbourg, France; Department of Functional Genomics and Cancer, Institut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS/INSERM/UNISTRA, Illkirch Cedex, France
| | | | - Emily H Cheng
- Human Oncology & Pathogenesis Program and Department of Pathology, Memorial Sloan Kettering Cancer Institute, New York City, NY 10065, USA
| | - Ximing Tang
- Department of Translational Molecular Pathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Wei Lu
- Department of Translational Molecular Pathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Timothy C Thompson
- Department of Genitourinary Medical Oncology, Unit 1374, The University of Texas MD Anderson Cancer Center, 1155 Pressler Street, Houston, TX 77030-3721, USA
| | - Irwin Davidson
- Department of Functional Genomics and Cancer, Institut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS/INSERM/UNISTRA, Illkirch Cedex, France
| | - Virginia Giuliani
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Translational Research to Advance Therapeutics and Innovation in Oncology (TRACTION), The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Katharina Schlacher
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alessandro Carugo
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Translational Research to Advance Therapeutics and Innovation in Oncology (TRACTION), The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Timothy P Heffernan
- Institute for Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Translational Research to Advance Therapeutics and Innovation in Oncology (TRACTION), The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Padmanee Sharma
- Department of Genitourinary Medical Oncology, Unit 1374, The University of Texas MD Anderson Cancer Center, 1155 Pressler Street, Houston, TX 77030-3721, USA; Department of Immunology, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Jose A Karam
- Department of Urology, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA; Department of Translational Molecular Pathology, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Christopher G Wood
- Department of Urology, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA
| | - Cheryl L Walker
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, Texas, USA; Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas, USA; Department of Medicine, Baylor College of Medicine, Houston, Texas, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
| | - Giannicola Genovese
- Department of Genitourinary Medical Oncology, Unit 1374, The University of Texas MD Anderson Cancer Center, 1155 Pressler Street, Houston, TX 77030-3721, USA; Department of Genomic Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA.
| | - Nizar M Tannir
- Department of Genitourinary Medical Oncology, Unit 1374, The University of Texas MD Anderson Cancer Center, 1155 Pressler Street, Houston, TX 77030-3721, USA.
| |
Collapse
|
233
|
A Meta-Analysis Evaluating Clinical Outcomes of Patients with Renal Cell Carcinoma Harboring Chromosome 9P Loss. Mol Diagn Ther 2020; 23:569-577. [PMID: 31332726 DOI: 10.1007/s40291-019-00414-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
CONTEXT 9p loss appears a reliable and promising marker able to differentiate specific categories of patients with renal cell carcinoma associated with a worse prognosis. OBJECTIVE The aim was to systematically evaluate relative risk of death, cancer-specific survival (CSS) and disease-free survival (DFS) among patients harboring 9p loss. EVIDENCE SYNTHESIS We found a total of 92 potentially relevant articles focused on the detection of 9p loss in patients with renal cell carcinoma and clinical outcomes of this population. Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines were employed to carry out this work. Fourteen studies resulted to be eligible for this analysis; 11 of these reported data on 5-year overall survival, six on CSS and four on DFS. An increased risk of death has been observed in patients harboring 9p loss (pooled relative risk of 3.965; 95% confidence interval [CI] 2.647-5.940, p < 0.001). Similarly, worse CSS (hazard ratio [HR] 6.776; 95% CI 3.824-12.009; p < 0.001) and DFS (HR 2.914; 95% CI 1.245-6.819; p = 0.014) have been observed in this population. Heterogeneity was significant in survival analysis, while no significant heterogeneity was observed in the CSS and DFS analyses. CONCLUSIONS Patients harboring chromosome 9p loss have worse clinical outcomes in terms of overall survival, CSS and DFS.
Collapse
|
234
|
Choueiri TK, Atkins MB, Bakouny Z, Carlo MI, Drake CG, Jonasch E, Kapur P, Lewis B, Linehan WM, Mitchell MJ, Pal SK, Pels K, Poteat S, Rathmell WK, Rini BI, Signoretti S, Tannir N, Uzzo R, Wood CG, Hammers HJ. Summary From the First Kidney Cancer Research Summit, September 12-13, 2019: A Focus on Translational Research. J Natl Cancer Inst 2020; 113:234-243. [PMID: 32359162 DOI: 10.1093/jnci/djaa064] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 04/07/2020] [Accepted: 04/24/2020] [Indexed: 12/11/2022] Open
Abstract
Kidney cancer is one of the 10 most common cancers both in the United States and worldwide. Until this year, there had not previously been a conference focused on translational studies in the broad and heterogeneous group of kidney cancers. Therefore, a group of researchers, clinicians, and patient advocates dedicated to renal cell carcinoma launched the Kidney Cancer Research Summit (KCRS) to spur collaboration and further therapeutic advances in these tumors. This commentary aims to summarize the oral presentations and serve as a record for future iterations of this meeting. The KCRS sessions addressed the tumor microenvironment, novel methods of drug delivery, single cell sequencing strategies, novel immune checkpoint blockade and cellular therapies, predictive biomarkers, and rare variants of kidney cancers. In addition, the meeting included 2 sessions to promote scientific mentoring and kidney cancer research collaborations. A subsequent KCRS will be planned for the fall of 2020.
Collapse
Affiliation(s)
- Toni K Choueiri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Michael B Atkins
- Department of Oncology, Georgetown Lombardi Comprehensive Cancer Center, Washington, DC
| | - Ziad Bakouny
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Maria I Carlo
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Charles G Drake
- Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Eric Jonasch
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Payal Kapur
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - W Marston Linehan
- Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Michael J Mitchell
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA
| | - Sumanta K Pal
- Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Kevin Pels
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | | | - W Kimryn Rathmell
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Brian I Rini
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sabina Signoretti
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.,Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Nizar Tannir
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Robert Uzzo
- Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Christopher G Wood
- Department of Urology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hans J Hammers
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| |
Collapse
|
235
|
Rao H, Li X, Liu M, Liu J, Li X, Xu J, Li L, Gao WQ. Di-Ras2 promotes renal cell carcinoma formation by activating the mitogen-activated protein kinase pathway in the absence of von Hippel-Lindau protein. Oncogene 2020; 39:3853-3866. [PMID: 32161311 DOI: 10.1038/s41388-020-1247-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 02/20/2020] [Accepted: 02/25/2020] [Indexed: 02/07/2023]
Abstract
Clear cell renal cell carcinoma (ccRCC) is one of the most common and lethal human urological malignancies in the world. One of the pathological drivers for ccRCC is the Ras family of small GTPases that function as "molecular switches" in many diseases including ccRCC. Among the GTPases in the Di-Ras family, DIRAS2 gene encodes a GTPase that shares 60% homology to Ras and Rap. Yet little is known about the biological function(s) of Di-Ras2 or how its activities are regulated. In this study, we focused on Di-Ras2, and determined its functions and underlying mechanism during formation of ccRCC. We found that Di-Ras2 was upregulated in ccRCC, and promoted the proliferation, migration and invasion of human ccRCC cells in the absence of von Hippel-Lindau protein (pVHL). Mechanistically, Di-Ras2 induces and regulates ccRCC formation by modulating phosphorylation of the downstream effectors and activating the Ras/mitogen-activated protein kinase (MAPK) signaling pathway. Moreover, Di-Ras2 interacts with E3 ubiquitin ligase, pVHL, which facilitates the ubiquitination and degradation of Di-Ras2. Together, these results indicate a potential function of Di-Ras2 as an oncogene in ccRCC, and these data provide a new perspective of the relationship between pVHL and the MAPK pathway in ccRCC tumorigenesis.
Collapse
Affiliation(s)
- Hanyu Rao
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, 200127, Shanghai, PR China
- School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, PR China
| | - Xuefeng Li
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, 200127, Shanghai, PR China
- Department of Medical Oncology, The First Affiliated Hospital of University of South China, Hengyang, 421001, Hunan, PR China
| | - Min Liu
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, 200127, Shanghai, PR China
- School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, PR China
| | - Jing Liu
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, 200127, Shanghai, PR China
- School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, PR China
| | - Xiaoxue Li
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, 200127, Shanghai, PR China
- School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, PR China
| | - Jin Xu
- School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, PR China
| | - Li Li
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, 200127, Shanghai, PR China.
- School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, PR China.
| | - Wei-Qiang Gao
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, 200127, Shanghai, PR China.
- School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, PR China.
| |
Collapse
|
236
|
Liu YJ, Houldsworth J, Emmadi R, Dyer L, Wolff DJ. Assessing Genomic Copy Number Alterations as Best Practice for Renal Cell Neoplasia: An Evidence-Based Review from the Cancer Genomics Consortium Workgroup. Cancer Genet 2020; 244:40-54. [PMID: 32434132 DOI: 10.1016/j.cancergen.2020.04.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 04/06/2020] [Accepted: 04/07/2020] [Indexed: 02/05/2023]
Abstract
Renal cell neoplasia are heterogeneous with diverse histology, genetic alterations, and clinical behavior that are diagnosed mostly on morphologic features. The Renal Cell Neoplasia Workgroup of the Cancer Genomics Consortium systematically evaluated peer-reviewed literature on genomic studies of renal cell carcinoma (RCC), including clear cell RCC, papillary RCC, chromophobe RCC, and the translocation RCC involving TFE3, TFEB and MITF rearrangements, as well as benign oncocytoma, which together comprise about 95% of all renal cell neoplasia. The Workgroup curated recurrent copy number alterations (CNAs), copy-neutral loss-of-heterozygosity (cnLOH), rearrangements, and mutations, found in each subtype and assigned clinical relevance according to established criteria. In clear cell RCC, loss of 3p has a disease-initiating role and most likely also in progression with mutations detected in VHL and other genes mapped to this arm, and loss of 9p and/or 14q has well-substantiated prognostic utility. Gain of chromosomes 7 and 17 are hallmark CNAs of papillary RCC, but patterns of other CNAs as detected by chromosomal microarray analysis (CMA) afford sub-classification into Type 1 and 2 with prognostic value, and for further sub-stratification of Type 2. Inherent chromosome loss in chromophobe RCC as detected by CMA is useful for distinguishing the eosinophilic variant from benign oncocytoma which in contrast exhibits few CNAs or rearranged CCND1, but share mitochondrial DNA mutations. In morphologically atypical RCCs, rearrangement of TFE3 and TFEB should be considered in the differential diagnosis, portending an aggressive RCC subtype. Overall, this evidence-based review provides a validated role for assessment of CNAs in renal cell neoplasia in the clinical setting to assist in renal cell neoplasm diagnosis and sub-classification within subtypes that is integral to the management of patients, from small incidentally found renal masses to larger surgically resected specimens, and simultaneously identify the presence of key alterations portending outcome in malignant RCC subtypes.
Collapse
Affiliation(s)
- Yajuan J Liu
- Departments of Pathology and Laboratory Medicine, University of Washington School of Medicine, 1959 NE Pacific Street, Seattle, WA 98195.
| | - Jane Houldsworth
- Department of Pathology, Molecular and Cell Based Medicine, Icahn School of Medicine at Mount Sinai, The Mount Sinai Health System, 1 Gustave Levy Place, New York, NY 10029.
| | - Rajyasree Emmadi
- Department of Pathology, University of Illinois at Chicago, 840 S. Wood Street, Chicago, IL 60612
| | - Lisa Dyer
- Department of Pediatrics, Division of Human Genetics, University of Cincinnati, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, MLC 4006, Cincinnati, OH 45229-3039
| | - Daynna J Wolff
- Department of Pathology and Laboratory Medicine, Medical University of South Carolina, 165 Ashley Avenue, MSC 908, Charleston, SC 29425
| |
Collapse
|
237
|
Plasma cell-free DNA variant analysis compared with methylated DNA analysis in renal cell carcinoma. Genet Med 2020; 22:1366-1373. [DOI: 10.1038/s41436-020-0801-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 03/27/2020] [Accepted: 03/29/2020] [Indexed: 11/09/2022] Open
|
238
|
Kerr K, McAneney H, Smyth LJ, Bailie C, McKee S, McKnight AJ. A scoping review and proposed workflow for multi-omic rare disease research. Orphanet J Rare Dis 2020; 15:107. [PMID: 32345347 PMCID: PMC7189570 DOI: 10.1186/s13023-020-01376-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Accepted: 04/07/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Patients with rare diseases face unique challenges in obtaining a diagnosis, appropriate medical care and access to support services. Whole genome and exome sequencing have increased identification of causal variants compared to single gene testing alone, with diagnostic rates of approximately 50% for inherited diseases, however integrated multi-omic analysis may further increase diagnostic yield. Additionally, multi-omic analysis can aid the explanation of genotypic and phenotypic heterogeneity, which may not be evident from single omic analyses. MAIN BODY This scoping review took a systematic approach to comprehensively search the electronic databases MEDLINE, EMBASE, PubMed, Web of Science, Scopus, Google Scholar, and the grey literature databases OpenGrey / GreyLit for journal articles pertaining to multi-omics and rare disease, written in English and published prior to the 30th December 2018. Additionally, The Cancer Genome Atlas publications were searched for relevant studies and forward citation searching / screening of reference lists was performed to identify further eligible articles. Following title, abstract and full text screening, 66 articles were found to be eligible for inclusion in this review. Of these 42 (64%) were studies of multi-omics and rare cancer, two (3%) were studies of multi-omics and a pre-cancerous condition, and 22 (33.3%) were studies of non-cancerous rare diseases. The average age of participants (where known) across studies was 39.4 years. There has been a significant increase in the number of multi-omic studies in recent years, with 66.7% of included studies conducted since 2016 and 33% since 2018. Fourteen combinations of multi-omic analyses for rare disease research were returned spanning genomics, epigenomics, transcriptomics, proteomics, phenomics and metabolomics. CONCLUSIONS This scoping review emphasises the value of multi-omic analysis for rare disease research in several ways compared to single omic analysis, ranging from the provision of a diagnosis, identification of prognostic biomarkers, distinct molecular subtypes (particularly for rare cancers), and identification of novel therapeutic targets. Moving forward there is a critical need for collaboration of multi-omic rare disease studies to increase the potential to generate robust outcomes and development of standardised biorepository collection and reporting structures for multi-omic studies.
Collapse
Affiliation(s)
- Katie Kerr
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland
| | - Helen McAneney
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland
| | - Laura J Smyth
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland
| | - Caitlin Bailie
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland
| | - Shane McKee
- Regional Genetics Centre, Belfast City Hospital, Level A, Tower Block, Lisburn Road, Belfast, BT9 7AB, Northern Ireland
| | - Amy Jayne McKnight
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland.
- Regional Genetics Centre, Belfast City Hospital, Level A, Tower Block, Lisburn Road, Belfast, BT9 7AB, Northern Ireland.
| |
Collapse
|
239
|
Osmanov YI, Kogan EA, Radenska-Lopovok SG. [The morphological characteristics and immunophenotype of renal cell carcinomas with eosinophilic cytoplasm]. Arkh Patol 2020; 82:20-29. [PMID: 32307435 DOI: 10.17116/patol20208202120] [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: 11/18/2022]
Abstract
Eosinophilic cellular renal cell carcinomas embrace a wide range of histological types described in the 2016 WHO International Classification of Kidney Tumors. A variety of histological manifestations associated with the features of tumor morphogenesis in this group poses difficulties in differential diagnosis. AIM to investigate the morphological and immunophenotypic features of rare types of renal cell carcinomas with eosinophilic cytoplasm. SUBJECTS AND METHODS An investigation was conducted using a surgical material from 294 patients with a kidney tumor. An immunohistochemical (IHC) study was performed on paraffin sections according to the standard protocol using a wide panel of antibodies. RESULTS Based on a morphological analysis and IHC study, the tumors were divided into 3 groups: 1) 127 (43%) oncocytic tumors that expressed classical IHC markers for oncocytoma and chromophobe renal cell carcinoma; 2) 50 (17%) oncocytic tumors that did not correspond to the immunophenotypes of oncocytoma and chromophobe renal cell carcinoma; and 3) 117 (40%) eosinophilic cellular nononcocytic renal tumors. CONCLUSION With the advent of the current differential diagnostic criteria, the classification of renal cell carcinomas continues to expand. To date, a hybrid oncocytic/chromophobic tumor, eosinophilic solid and cystic renal cell carcinoma, and follicular kidney cancer should be regarded as new nosological entities.
Collapse
Affiliation(s)
- Yu I Osmanov
- Department of Pathological Anatomy, I.M. Sechenov First Moscow State Medical University, Moscow, Russia; Department of Pathological Anatomy, Research Clinical Center, OAO 'RZhD', Moscow, Russia
| | - E A Kogan
- Department of Pathological Anatomy, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - S G Radenska-Lopovok
- Department of Pathological Anatomy, I.M. Sechenov First Moscow State Medical University, Moscow, Russia; Department of Pathological Anatomy, Russian Medical Academy of Continuing Professional Education, Ministry of Health of Russia, Moscow, Russia
| |
Collapse
|
240
|
|
241
|
Next-generation RNA Sequencing-based Biomarker Characterization of Chromophobe Renal Cell Carcinoma and Related Oncocytic Neoplasms. Eur Urol 2020; 78:63-74. [PMID: 32299640 DOI: 10.1016/j.eururo.2020.03.003] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Accepted: 03/02/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Renal cell carcinomas (RCCs) are a heterogeneous group of neoplasms. Recent sequencing studies revealed various molecular features associated with histologic RCC subtypes, including chromophobe renal cell carcinoma (ChRCC). OBJECTIVE To characterize the gene expression and biomarker signatures associated with ChRCC. DESIGN, SETTING, AND PARTICIPANTS We performed integrative analysis on RNA sequencing data available from 1049 RCC specimens from The Cancer Genome Atlas and in-house studies. Our workflow identified genes relatively enriched in ChRCC, including Forkhead box I1 (FOXI1), Rh family C glycoprotein (RHCG), and LINC01187. We assessed the expression pattern of FOXI1 and RHCG protein by immunohistochemistry (IHC) and LINC01187 mRNA by RNA in situ hybridization (RNA-ISH) in whole tissue sections representing a cohort of 197 RCC cases, including both primary and metastatic tumors. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS The FOXI1 and RHCG IHC staining, as well as the LINC01187 RNA-ISH staining, was evaluated in each case for intensity, pattern, and localization of expression. RESULTS AND LIMITATIONS All primary and metastatic classic ChRCCs demonstrated homogeneous positive labeling for FOXI1, RHCG proteins, and LINC01187 transcript. Unclassified RCC with oncocytic features, oncocytoma, and hybrid oncocytic tumor, as well as all but two cases of eosinophilic ChRCC also stained positive. Importantly, metastatic and primary RCC of all other subtypes did not demonstrate any unequivocal staining for FOXI1, RHCG, or LINC01187. In normal kidney, FOXI1, RHCG, and LINC01187 were detected in the distal nephron segment, specifically in intercalated cells. Two cases of eosinophilic ChRCC with focal expression of FOXI1 and LINC01187, and Golgi-like RHCG staining were found to contain MTOR gene mutations upon DNA sequencing. CONCLUSIONS We demonstrate a pipeline for the identification and validation of RCC subtype-specific biomarkers that can aid in the confirmation of cell of origin and may facilitate accurate classification and diagnosis of renal tumors. PATIENT SUMMARY FOXI1, RHCG, and LINC01187 are lineage-specific signature genes for chromophobe renal cell carcinoma.
Collapse
|
242
|
Bhargava R, Fischer M, O'Sullivan RJ. Genome rearrangements associated with aberrant telomere maintenance. Curr Opin Genet Dev 2020; 60:31-40. [PMID: 32145504 DOI: 10.1016/j.gde.2020.02.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 01/22/2020] [Accepted: 02/02/2020] [Indexed: 02/02/2023]
Abstract
There is unequivocal evidence that telomeres are crucial for cellular homeostasis and that telomere dysfunction can elicit genome instability and potentially initiate events that culminate in cancer. Mounting evidence points to telomeres having a crucial role in driving local and systemic structural rearrangements that drive cancer. These include the classical 'breakage-fusion-bridge' (BFB) cycles and more recently identified genome re-shaping events like kataegis and chromothripsis. In this brief review, we outline the established and most recent advances describing the roles that telomere dysfunction has in the origin of these catastrophic genome rearrangements. We discuss how local and systemic structural rearrangements enable telomere length maintenance, by either telomerase or the alternative lengthening of telomeres, that is essential to sustain cancer cell proliferation.
Collapse
Affiliation(s)
- Ragini Bhargava
- University of Pittsburgh UPMC Hillman Cancer Center, Pittsburgh, PA, USA
| | - Matthias Fischer
- Department of Experimental Pediatric Oncology, Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine, University of Cologne, Cologne, Germany.
| | | |
Collapse
|
243
|
D'Angelo A, Bagby S, Di Pierro G, Chirra M, Nobili S, Mini E, Villari D, Roviello G. An overview of the clinical use of cabozantinib in the treatment of advanced non-clear-cell renal cell carcinoma (NCCRCC). Crit Rev Oncol Hematol 2020; 149:102921. [PMID: 32172222 DOI: 10.1016/j.critrevonc.2020.102921] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 02/27/2020] [Accepted: 02/28/2020] [Indexed: 10/24/2022] Open
Abstract
Patients diagnosed with non-clear renal cell carcinoma have often been excluded from clinical trials due to the shortage of treatments available, the low incidence of tumours with non-clear histology, and the corresponding diversity of intrinsic molecular features. This approach led to a knowledge gap in finding the optimal treatment for patients diagnosed with non-clear cell renal carcinoma. Cabozantinib, a potent multiple tyrosine kinase receptor inhibitor, has been recently investigated in patients with non-clear cell histologies of renal cell cancer. In this review, we have summarized available data on the use of cabozantinib in non-clear renal cell carcinoma.
Collapse
Affiliation(s)
- Alberto D'Angelo
- Department of Biology and Biochemistry, University of Bath, Bath, BA2 7AY, United Kingdom.
| | - Stefan Bagby
- Department of Biology and Biochemistry, University of Bath, Bath, BA2 7AY, United Kingdom
| | - Giulia Di Pierro
- School of Human Health Sciences, University of Florence, Largo Brambilla 3, 50134, Florence, Italy
| | - Martina Chirra
- Department of Oncology, Medical Oncology Unit, University of Siena, Siena, 53100, Italy
| | - Stefania Nobili
- Department of Health Sciences, University of Florence, Viale Pieraccini, 6, 50139, Florence, Italy
| | - Enrico Mini
- Department of Health Sciences, University of Florence, Viale Pieraccini, 6, 50139, Florence, Italy
| | - Donata Villari
- Department of Urology, University of Florence, Florence, Italy
| | - Giandomenico Roviello
- Department of Health Sciences, University of Florence, Viale Pieraccini, 6, 50139, Florence, Italy
| |
Collapse
|
244
|
Schmidt AL, Siefker-Radtke A, McConkey D, McGregor B. Renal Cell and Urothelial Carcinoma: Biomarkers for New Treatments. Am Soc Clin Oncol Educ Book 2020; 40:1-11. [PMID: 32379987 DOI: 10.1200/edbk_279905] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Therapies for genitourinary malignancies have evolved considerably in the past five years. Combination treatment targeting biologically relevant immune and angiogenic pathways is improving patient survival in metastatic renal cell carcinoma (RCC), whereas immune checkpoint blockade (ICB), novel targeted therapy, and antibody drug conjugates have changed the landscape of urothelial cancer (UC) treatment. A daily challenge for clinicians is identifying patients who derive a preferential benefit from the available therapeutic options. The completion of large-scale genomics projects has yielded comprehensive descriptions of the molecular heterogeneity present in RCC and UC, although clinical applications of these data continue to evolve. Major molecular subtypes of RCC align well with histology subtype, and although some molecular characteristics appear to carry prognostic information, biomarkers predicting benefit from tyrosine kinase inhibitor (TKI) or immunotherapy are generally lacking. Unexpectedly, similar work has demonstrated that UC can be grouped into "molecular subtypes" that share properties with those found in breast cancer and other solid tumors. Furthermore, this molecular subtype classification is prognostic and potentially predictive of differential benefit from conventional and targeted therapies. This article provides an update on the current state of molecular biomarker development and potential clinical utility in RCC and UC.
Collapse
Affiliation(s)
| | | | - David McConkey
- Johns Hopkins Greenberg Bladder Cancer Institute, Baltimore, MD
| | | |
Collapse
|
245
|
Cortés-Ciriano I, Lee JJK, Xi R, Jain D, Jung YL, Yang L, Gordenin D, Klimczak LJ, Zhang CZ, Pellman DS, Park PJ. Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing. Nat Genet 2020; 52:331-341. [PMID: 32025003 PMCID: PMC7058534 DOI: 10.1038/s41588-019-0576-7] [Citation(s) in RCA: 370] [Impact Index Per Article: 92.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Accepted: 12/20/2019] [Indexed: 01/12/2023]
Abstract
Chromothripsis is a mutational phenomenon characterized by massive, clustered genomic rearrangements that occurs in cancer and other diseases. Recent studies in selected cancer types have suggested that chromothripsis may be more common than initially inferred from low-resolution copy-number data. Here, as part of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA), we analyze patterns of chromothripsis across 2,658 tumors from 38 cancer types using whole-genome sequencing data. We find that chromothripsis events are pervasive across cancers, with a frequency of more than 50% in several cancer types. Whereas canonical chromothripsis profiles display oscillations between two copy-number states, a considerable fraction of events involve multiple chromosomes and additional structural alterations. In addition to non-homologous end joining, we detect signatures of replication-associated processes and templated insertions. Chromothripsis contributes to oncogene amplification and to inactivation of genes such as mismatch-repair-related genes. These findings show that chromothripsis is a major process that drives genome evolution in human cancer.
Collapse
Affiliation(s)
- Isidro Cortés-Ciriano
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Ludwig Center at Harvard, Boston, MA, USA
- Centre for Molecular Science Informatics, Department of Chemistry, University of Cambridge, Cambridge, UK
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK
| | - Jake June-Koo Lee
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Ludwig Center at Harvard, Boston, MA, USA
| | - Ruibin Xi
- School of Mathematical Sciences and Center for Statistical Science, Peking University, Beijing, China
| | - Dhawal Jain
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Youngsook L Jung
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Lixing Yang
- Ben May Department for Cancer Research, University of Chicago, Chicago, IL, USA
- Department of Human Genetics, The University of Chicago, Chicago, IL, USA
| | - Dmitry Gordenin
- Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, US National Institutes of Health, Durham, NC, USA
| | - Leszek J Klimczak
- Integrative Bioinformatics Group, National Institute of Environmental Health Sciences, US National Institutes of Health, Durham, NC, USA
| | - Cheng-Zhong Zhang
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - David S Pellman
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Cell Biology, Harvard Medical School, Blavatnik Institute, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Ludwig Center at Harvard, Boston, MA, USA.
| |
Collapse
|
246
|
Sobczuk P, Brodziak A, Khan MI, Chhabra S, Fiedorowicz M, Wełniak-Kamińska M, Synoradzki K, Bartnik E, Cudnoch-Jędrzejewska A, Czarnecka AM. Choosing The Right Animal Model for Renal Cancer Research. Transl Oncol 2020; 13:100745. [PMID: 32092671 PMCID: PMC7036425 DOI: 10.1016/j.tranon.2020.100745] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 01/04/2020] [Accepted: 01/06/2020] [Indexed: 12/17/2022] Open
Abstract
The increase in the life expectancy of patients with renal cell carcinoma (RCC) in the last decade is due to changes that have occurred in the area of preclinical studies. Understanding cancer pathophysiology and the emergence of new therapeutic options, including immunotherapy, would not be possible without proper research. Before new approaches to disease treatment are developed and introduced into clinical practice they must be preceded by preclinical tests, in which animal studies play a significant role. This review describes the progress in animal model development in kidney cancer research starting from the oldest syngeneic or chemically-induced models, through genetically modified mice, finally to xenograft, especially patient-derived, avatar and humanized mouse models. As there are a number of subtypes of RCC, our aim is to help to choose the right animal model for a particular kidney cancer subtype. The data on genetic backgrounds, biochemical parameters, histology, different stages of carcinogenesis and metastasis in various animal models of RCC as well as their translational relevance are summarized. Moreover, we shed some light on imaging methods, which can help define tumor microstructure, assist in the analysis of its metabolic changes and track metastasis development.
Collapse
Affiliation(s)
- Paweł Sobczuk
- Department of Experimental and Clinical Physiology, Laboratory of Centre for Preclinical Research, Medical University of Warsaw, Warsaw, Poland; Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland.
| | - Anna Brodziak
- Department of Experimental and Clinical Physiology, Laboratory of Centre for Preclinical Research, Medical University of Warsaw, Warsaw, Poland; Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland.
| | - Mohammed Imran Khan
- Department of Otolaryngology - Head & Neck Surgery, Western University, London, Ontario, Canada.
| | - Stuti Chhabra
- Department of Biochemistry, CSIR-Central Drug Research Institute, Lucknow, India.
| | - Michał Fiedorowicz
- Department of Experimental Pharmacology, Mossakowski Medical Research Centre Polish Academy of Sciences, 5 Pawinskiego Str., Warsaw, Poland.
| | - Marlena Wełniak-Kamińska
- Department of Experimental Pharmacology, Mossakowski Medical Research Centre Polish Academy of Sciences, 5 Pawinskiego Str., Warsaw, Poland.
| | - Kamil Synoradzki
- Department of Experimental Pharmacology, Mossakowski Medical Research Centre Polish Academy of Sciences, 5 Pawinskiego Str., Warsaw, Poland.
| | - Ewa Bartnik
- Institute of Genetics and Biotechnology, Faculty of Biology, University of Warsaw, Warsaw, Poland.
| | - Agnieszka Cudnoch-Jędrzejewska
- Department of Experimental and Clinical Physiology, Laboratory of Centre for Preclinical Research, Medical University of Warsaw, Warsaw, Poland.
| | - Anna M Czarnecka
- Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland; Department of Experimental Pharmacology, Mossakowski Medical Research Centre Polish Academy of Sciences, 5 Pawinskiego Str., Warsaw, Poland.
| |
Collapse
|
247
|
Yuan Y, Ju YS, Kim Y, Li J, Wang Y, Yoon CJ, Yang Y, Martincorena I, Creighton CJ, Weinstein JN, Xu Y, Han L, Kim HL, Nakagawa H, Park K, Campbell PJ, Liang H. Comprehensive molecular characterization of mitochondrial genomes in human cancers. Nat Genet 2020; 52:342-352. [PMID: 32024997 PMCID: PMC7058535 DOI: 10.1038/s41588-019-0557-x] [Citation(s) in RCA: 217] [Impact Index Per Article: 54.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Accepted: 11/21/2019] [Indexed: 02/06/2023]
Abstract
Mitochondria are essential cellular organelles that play critical roles in cancer. Here, as part of the International Cancer Genome Consortium/The Cancer Genome Atlas Pan-Cancer Analysis of Whole Genomes Consortium, which aggregated whole-genome sequencing data from 2,658 cancers across 38 tumor types, we performed a multidimensional, integrated characterization of mitochondrial genomes and related RNA sequencing data. Our analysis presents the most definitive mutational landscape of mitochondrial genomes and identifies several hypermutated cases. Truncating mutations are markedly enriched in kidney, colorectal and thyroid cancers, suggesting oncogenic effects with the activation of signaling pathways. We find frequent somatic nuclear transfers of mitochondrial DNA, some of which disrupt therapeutic target genes. Mitochondrial copy number varies greatly within and across cancers and correlates with clinical variables. Co-expression analysis highlights the function of mitochondrial genes in oxidative phosphorylation, DNA repair and the cell cycle, and shows their connections with clinically actionable genes. Our study lays a foundation for translating mitochondrial biology into clinical applications.
Collapse
Affiliation(s)
- Yuan Yuan
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Young Seok Ju
- Cancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea
| | - Youngwook Kim
- Department of Health Science and Technology, Samsung Advanced Institute for Health Science and Technology, Sungkyunkwan University School of Medicine, Seoul, Korea
- Samsung Genome Institute, Samsung Medical Center, Seoul, Korea
| | - Jun Li
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yumeng Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Quantitative and Computational Biosciences Graduate Program, Baylor College of Medicine, Houston, TX, USA
| | - Christopher J Yoon
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea
| | - Yang Yang
- Division of Biostatistics, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | | | - Chad J Creighton
- Department of Medicine and Dan L. Duncan Cancer Center Division of Biostatistics, Baylor College of Medicine, Houston, TX, USA
| | - John N Weinstein
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yanxun Xu
- Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA
| | - Leng Han
- Department of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, USA
| | - Hyung-Lae Kim
- Department of Biochemistry, Ewha Womans University School of Medicine, Seoul, Korea
| | - Hidewaki Nakagawa
- Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Keunchil Park
- Division of Hematology/Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
- Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University School of Medicine, Seoul, South Korea.
| | - Peter J Campbell
- Cancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK.
- Department of Haematology, University of Cambridge, Cambridge, UK.
| | - Han Liang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- Quantitative and Computational Biosciences Graduate Program, Baylor College of Medicine, Houston, TX, USA.
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| |
Collapse
|
248
|
Identification and Analysis of Novel Biomarkers Involved in Chromophobe Renal Cell Carcinoma by Integrated Bioinformatics Analyses. BIOMED RESEARCH INTERNATIONAL 2020; 2020:2671281. [PMID: 32090070 PMCID: PMC7029304 DOI: 10.1155/2020/2671281] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 01/06/2020] [Indexed: 12/26/2022]
Abstract
In renal cell carcinoma, chromophobe renal cell carcinoma (ChRCC) is a distinct subtype, whose clinical manifestations often lack specificity, and the molecular mechanisms of ChRCC tumorigenesis remain generally vague. The target of this study was to discover novel biomarkers involved in ChRCC by integrated bioinformatics analyses. We found 2608 differentially expressed genes (DEGs), of which 1518 were upregulated and 1090 were downregulated. Gene ontology (GO) analysis of DEGs uncovered significant functional enrichment in three aspects: biological process (BP), molecular function (MF), and cellular component (CC). The results of Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis indicated DEGs were largely enriched in retinol metabolism, arachidonic acid metabolism, and pentose and glucuronate interconversions. Then, the protein–protein interactions (PPI) network was constructed and top three hub genes were identified by the Cytoscape plugin cytoHubba. Through calculating the degree, betweenness centrality, and Stress of mRNAs, CENPA was upregulated and KNG1 and AGT were downregulated. A survival assay performed according to Oncomine data showed only CENPA high expression exhibited a worse prognosis. This study identified crucial genes and pathways for the progress of ChRCC, and CENPA might be a novel biomarker for diagnosis, treatment, and prognosis of ChRCC.
Collapse
|
249
|
Loss of CDKN1A mRNA and Protein Expression Are Independent Predictors of Poor Outcome in Chromophobe Renal Cell Carcinoma Patients. Cancers (Basel) 2020; 12:cancers12020465. [PMID: 32079343 PMCID: PMC7072616 DOI: 10.3390/cancers12020465] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2019] [Revised: 01/24/2020] [Accepted: 02/13/2020] [Indexed: 01/10/2023] Open
Abstract
Chromophobe renal cell carcinoma (chRCC) patients have good prognosis. Only 5%-10% patients die of metastatic disease after tumorectomy, but tumor progression cannot be predicted by histopathological parameters alone. chRCC are characterized by losses of many chromosomes, whereas gene mutations are rare. In this study, we aim at identifying genes indicating chRCC progression. A bioinformatic approach was used to correlate chromosomal loss and mRNA expression from 15287 genes from The Cancer Genome Atlas (TCGA) database. All genes in TCGA chromophobe renal cancer dataset (KICH) for which a significant correlation between chromosomal loss and mRNA expression was shown, were identified and their associations with outcome was assessed. Genome-wide DNA copy-number alterations were analyzed by Affymetrix OncoScan® CNV FFPE Microarrays in a second cohort of Swiss chRCC. In both cohorts, tumors with loss of chromosomes 2, 6, 10, 13, 17 and 21 had signs of tumor progression. There were 4654 genes located on these chromosomes, and 13 of these genes had reduced mRNA levels, which was associated with poor outcome in chRCC. Decreased CDKN1A expression at mRNA (p = 0.02) and protein levels (p = 0.02) were associated with short overall survival and were independent predictors of prognosis (p <0.01 and <0.05 respectively). CDKN1A expression status is a prognostic biomarker independent of tumor stage. CDKN1A immunohistochemistry may be used to identify chRCC patients at greater risk of disease progression.
Collapse
|
250
|
Zhang J, Li SQ, Lin JQ, Yu W, Eberlin LS. Mass Spectrometry Imaging Enables Discrimination of Renal Oncocytoma from Renal Cell Cancer Subtypes and Normal Kidney Tissues. Cancer Res 2020; 80:689-698. [PMID: 31843980 PMCID: PMC7024663 DOI: 10.1158/0008-5472.can-19-2522] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 11/02/2019] [Accepted: 12/10/2019] [Indexed: 01/09/2023]
Abstract
Precise diagnosis and subtyping of kidney tumors are imperative to optimize and personalize treatment decision for patients. Patients with the most common benign renal tumor, renal oncocytomas, may be overtreated with surgical resection because of limited preoperative diagnostic methods that can accurately identify the benign condition with certainty. In this study, desorption electrospray ionization (DESI)-mass spectrometry (MS) imaging was applied to study the metabolic and lipid profiles of various types of renal tissues, including normal kidney, renal oncocytoma, and renal cell carcinomas (RCC). A total of 73,992 mass spectra from 71 patient samples were obtained and used to build predictive models using the least absolute shrinkage and selection operator (Lasso). Overall accuracies of 99.47% per pixel and 100% per patient for prediction of the three tissue types were achieved. In particular, renal oncocytoma and chromophobe RCC, which present the most significant morphologic overlap and are sometimes indistinguishable using histology alone, were also investigated and the predictive models built yielded 100% accuracy in discriminating these tumor types. Discrimination of three subtypes of RCC was also achieved on the basis of DESI-MS imaging data. Importantly, several small metabolites and lipids species were identified as characteristic of individual tissue types and chemically characterized using tandem MS and high mass accuracy measurements. Collectively, our study shows that the metabolic data acquired by DESI-MS imaging in conjunction with statistical modeling allows discrimination of renal tumors and thus has the potential to be used in the clinical setting to improve treatment of patients with kidney tumor. SIGNIFICANCE: Metabolic data acquired by mass spectrometry imaging in conjunction with statistical modeling allows discrimination of renal tumors and has the potential to be used in the clinic to improve treatment of patients.
Collapse
Affiliation(s)
- Jialing Zhang
- Department of Chemistry, The University of Texas at Austin, Austin, Texas
| | - Shirley Q Li
- Department of Chemistry, The University of Texas at Austin, Austin, Texas
| | - John Q Lin
- Department of Chemistry, The University of Texas at Austin, Austin, Texas
| | - Wendong Yu
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas.
| | - Livia S Eberlin
- Department of Chemistry, The University of Texas at Austin, Austin, Texas.
| |
Collapse
|