1
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Guo J, Ma X, Liu D, Wang F, Xia J, Zhang B, Zhao P, Zhong F, Chen L, Long Q, Jiang L, Zhang S, Liao N, Wang J, Wu W, Sun J, Huang M, Cheng Z, Huang G, Zou C. A distinct subset of urothelial cells with enhanced EMT features promotes chemotherapy resistance and cancer recurrence by increasing COL4A1-ITGB1 mediated angiogenesis. Drug Resist Updat 2024; 76:101116. [PMID: 38968684 DOI: 10.1016/j.drup.2024.101116] [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: 01/25/2024] [Revised: 06/28/2024] [Accepted: 06/28/2024] [Indexed: 07/07/2024]
Abstract
Drug resistance and tumor recurrence remain clinical challenges in the treatment of urothelial carcinoma (UC). However, the underlying mechanism is not fully understood. Here, we performed single-cell RNA sequencing and identified a subset of urothelial cells with epithelial-mesenchymal transition (EMT) features (EMT-UC), which is significantly correlated with chemotherapy resistance and cancer recurrence. To validate the clinical significance of EMT-UC, we constructed EMT-UC like cells by introducing overexpression of two markers, Zinc Finger E-Box Binding Homeobox 1 (ZEB1) and Desmin (DES), and examined their histological distribution characteristics and malignant phenotypes. EMT-UC like cells were mainly enriched in UC tissues from patients with adverse prognosis and exhibited significantly elevated EMT, migration and gemcitabine tolerance in vitro. However, EMT-UC was not specifically identified from tumorous tissues, certain proportion of them were also identified in adjacent normal tissues. Tumorous EMT-UC highly expressed genes involved in malignant behaviors and exhibited adverse prognosis. Additionally, tumorous EMT-UC was associated with remodeled tumor microenvironment (TME), which exhibited high angiogenic and immunosuppressive potentials compared with the normal counterparts. Furthermore, a specific interaction of COL4A1 and ITGB1 was identified to be highly enriched in tumorous EMT-UC, and in the endothelial component. Targeting the interaction of COL4A1 and ITGB1 with specific antibodies significantly suppressed tumorous angiogenesis and alleviated gemcitabine resistance of UC. Overall, our findings demonstrated that the driven force of chemotherapy resistance and recurrence of UC was EMT-UC mediated COL4A1-ITGB1 interaction, providing a potential target for future UC treatment.
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Affiliation(s)
- Jinan Guo
- The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, PR China
| | - Xiaoshi Ma
- The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, PR China
| | - Dongcheng Liu
- The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, PR China; Shenzhen Aier Eye Hospital, Shenzhen, Guangdong, PR China
| | - Fei Wang
- Hainan Affiliated Hospital of Hainan Medical University, Hainan General Hospital, Haikou, Hainan, PR China
| | - Jinquan Xia
- The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, PR China
| | - Bin Zhang
- The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, PR China
| | - Pan Zhao
- The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, PR China
| | - Fuhua Zhong
- The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, PR China
| | - Lipeng Chen
- The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, PR China
| | - Qiaoyun Long
- The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, PR China
| | - Lu Jiang
- The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, PR China
| | - Siyu Zhang
- The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, PR China
| | - Naikai Liao
- The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China
| | - Jigang Wang
- The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, PR China
| | - Weiqing Wu
- The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, PR China
| | - Jichao Sun
- The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, PR China
| | - Mou Huang
- The Third Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, PR China
| | - Zhiqiang Cheng
- The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong, PR China.
| | - Guixiao Huang
- The Third Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, PR China.
| | - Chang Zou
- The Chinese University of Hong Kong (Shenzhen), Shenzhen, Guangdong, PR China.
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2
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Chen HJ, Yu MM, Huang JC, Lan FY, Liao HH, Xu ZH, Yu YJ, Huang YC, Chen F. SLC4A4 is a novel driver of enzalutamide resistance in prostate cancer. Cancer Lett 2024; 597:217070. [PMID: 38880227 DOI: 10.1016/j.canlet.2024.217070] [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: 05/05/2024] [Revised: 06/03/2024] [Accepted: 06/12/2024] [Indexed: 06/18/2024]
Abstract
The androgen receptor signaling inhibitor (ARSI) enzalutamide (Enz) has shown critical efficacy in the treatment of advanced prostate cancer (PCa). However, the development of drug resistance is a significant factor contributing to mortality in PCa patients. We aimed to explore the key mechanisms of Enz-resistance. Through analysis of GEO databases, we identified SLC4A4 as a novel driver in Enz resistance. Long-term Enz treatment leads to the up-regulation of SLC4A4, which in turn mediates P53 lactylation via the NF-κB/STAT3/SLC4A4 axis, ultimately leading to the development of Enz resistance and progression of PCa. SLC4A4 knockdown overcomes Enz resistance both in vitro and in vivo. Hence, our results suggest that targeting SLC4A4 could be a promising therapeutic strategy for Enz resistance. STATEMENT OF SIGNIFICANCE: SLC4A4 is a novel driver of enzalutamide resistance.
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Affiliation(s)
- Hao-Jie Chen
- Department of Urology, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200062, China; Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200092, China
| | - Ming-Ming Yu
- Department of Ultrasound in Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
| | - Jia-Cheng Huang
- Department of Urology, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200062, China
| | - Fu-Ying Lan
- Department of Urology, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200062, China
| | - Hai-Hong Liao
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200092, China
| | - Zi-Han Xu
- Department of Urology, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200062, China
| | - Yong-Jiang Yu
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200092, China.
| | - Yi-Chen Huang
- Department of Urology, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200062, China.
| | - Fang Chen
- Department of Urology, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200062, China.
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3
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Yeo S, Jang J, Jung HJ, Lee H, Lee S, Choe Y. A Zwitterionic Detergent and Catalyst-Based Single-Cell Proteomics Using a Loss-Free Microhole-Collection Disc. Anal Chem 2024; 96:11690-11698. [PMID: 38991018 DOI: 10.1021/acs.analchem.4c00158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2024]
Abstract
Recent advances in single-cell proteomics have solved many bottlenecks, such as throughput, sample recovery, and scalability via nanoscale sample handling. In this study, we aimed for a sensitive mass spectrometry (MS) analysis capable of handling single cells with a conventional mass spectrometry workflow without additional equipment. We achieved seamless cell lysis and TMT labeling in a micro-HOLe Disc (microHOLD) by developing a mass-compatible single solution based on a zwitterionic detergent and a catalyst for single-cell lysis and tandem mass tag labeling without a heat incubation step. This method was developed to avoid peptide loss by surface adsorption and buffer or tube changes by collecting tandem mass tag-labeled peptide through microholes placed in the liquid chromatography injection vials in a single solution. We successfully applied the microHOLD single-cell proteomics method for the analysis of proteome reprogramming in hormone-sensitive prostate cells to develop castration-resistant prostate cancer cells. This novel single-cell proteomics method is not limited by cutting-edge nanovolume handling equipment and achieves high throughput and ultrasensitive proteomics analysis of limited samples, such as single cells.
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Affiliation(s)
- Seungeun Yeo
- Developmental disorders & rare diseases Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea
- School of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Jaemyung Jang
- Developmental disorders & rare diseases Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea
| | - Hyun Jin Jung
- Developmental disorders & rare diseases Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea
| | - Hyeyoung Lee
- Division of Applied Bioengineering, Dong-Eui University, Busan 47340, Republic of Korea
| | - Sangkyu Lee
- School of Pharmacy, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Youngshik Choe
- Developmental disorders & rare diseases Research Group, Korea Brain Research Institute, Daegu 41062, Republic of Korea
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4
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Corres-Mendizabal J, Zacchi F, Martín-Martín N, Mateo J, Carracedo A. Metastatic hormone-naïve prostate cancer: a distinct biological entity. Trends Cancer 2024:S2405-8033(24)00119-5. [PMID: 39048488 DOI: 10.1016/j.trecan.2024.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 06/11/2024] [Accepted: 06/20/2024] [Indexed: 07/27/2024]
Abstract
Metastatic hormone-naïve prostate cancer (mHNPC) is often the initial form of presentation for metastatic prostate cancer and encompasses a heterogeneous patient population with high inter-patient heterogeneity in prognosis and response to therapy. A more precise treatment of mHNPC, guided by evidence-based biomarkers, remains an unmet medical need. In addition, the limited number of representative laboratory models of mHNPC hampers the translation of basic research into clinical applications. We provide a comprehensive overview of the clinical and biological features that characterize mHNPC, highlight molecular data that could explain the unique prognostic characteristics of mHNPC, and identify key open questions.
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Affiliation(s)
- Jon Corres-Mendizabal
- Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Bizkaia Technology Park, 48160 Derio, Spain
| | - Francesca Zacchi
- Section of Innovation Biomedicine-Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona and University and Hospital Trust (AOUI) of Verona, Verona, Italy; Vall Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital Campus, Barcelona, Spain
| | - Natalia Martín-Martín
- Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Bizkaia Technology Park, 48160 Derio, Spain; Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain; Translational Prostate Cancer Research Laboratory, CIC bioGUNE-Basurto, Biobizkaia Health Research Institute, 48903 Barakaldo, Bizkaia, Spain
| | - Joaquin Mateo
- Vall Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital Campus, Barcelona, Spain.
| | - Arkaitz Carracedo
- Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Bizkaia Technology Park, 48160 Derio, Spain; Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain; Translational Prostate Cancer Research Laboratory, CIC bioGUNE-Basurto, Biobizkaia Health Research Institute, 48903 Barakaldo, Bizkaia, Spain; Ikerbasque, Basque Foundation for Science, Bilbao, Spain; Biochemistry and Molecular Biology Department, University of the Basque Country (UPV/EHU), Bilbao, Spain.
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5
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Gao H, Wei L, Indulkar S, Nguyen TTL, Liu D, Ho MF, Zhang C, Li H, Weinshilboum RM, Ingle JN, Wang L. Androgen receptor-mediated pharmacogenomic expression quantitative trait loci: implications for breast cancer response to AR-targeting therapy. Breast Cancer Res 2024; 26:111. [PMID: 38965614 PMCID: PMC11225427 DOI: 10.1186/s13058-024-01861-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 06/20/2024] [Indexed: 07/06/2024] Open
Abstract
BACKGROUND Endocrine therapy is the most important treatment modality of breast cancer patients whose tumors express the estrogen receptor α (ERα). The androgen receptor (AR) is also expressed in the vast majority (80-90%) of ERα-positive tumors. AR-targeting drugs are not used in clinical practice, but have been evaluated in multiple trials and preclinical studies. METHODS We performed a genome-wide study to identify hormone/drug-induced single nucleotide polymorphism (SNP) genotype - dependent gene-expression, known as PGx-eQTL, mediated by either an AR agonist (dihydrotestosterone) or a partial antagonist (enzalutamide), utilizing a previously well characterized lymphoblastic cell line panel. The association of the identified SNPs-gene pairs with breast cancer phenotypes were then examined using three genome-wide association (GWAS) studies that we have published and other studies from the GWAS catalog. RESULTS We identified 13 DHT-mediated PGx-eQTL loci and 23 Enz-mediated PGx-eQTL loci that were associated with breast cancer outcomes post ER antagonist or aromatase inhibitors (AI) treatment, or with pharmacodynamic (PD) effects of AIs. An additional 30 loci were found to be associated with cancer risk and sex-hormone binding globulin levels. The top loci involved the genes IDH2 and TMEM9, the expression of which were suppressed by DHT in a PGx-eQTL SNP genotype-dependent manner. Both of these genes were overexpressed in breast cancer and were associated with a poorer prognosis. Therefore, suppression of these genes by AR agonists may benefit patients with minor allele genotypes for these SNPs. CONCLUSIONS We identified AR-related PGx-eQTL SNP-gene pairs that were associated with risks, outcomes and PD effects of endocrine therapy that may provide potential biomarkers for individualized treatment of breast cancer.
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Affiliation(s)
- Huanyao Gao
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, 200 First Street Southwest, Rochester, MN, 55905, USA
| | - Lixuan Wei
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, 200 First Street Southwest, Rochester, MN, 55905, USA
| | - Shreya Indulkar
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, 200 First Street Southwest, Rochester, MN, 55905, USA
| | - Thanh Thanh L Nguyen
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, 200 First Street Southwest, Rochester, MN, 55905, USA
| | - Duan Liu
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, 200 First Street Southwest, Rochester, MN, 55905, USA
| | - Ming-Fen Ho
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, 200 First Street Southwest, Rochester, MN, 55905, USA
| | - Cheng Zhang
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, 200 First Street Southwest, Rochester, MN, 55905, USA
| | - Hu Li
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, 200 First Street Southwest, Rochester, MN, 55905, USA
| | - Richard M Weinshilboum
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, 200 First Street Southwest, Rochester, MN, 55905, USA
| | - James N Ingle
- Department of Oncology, Mayo Clinic, Rochester, MN, USA
| | - Liewei Wang
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, 200 First Street Southwest, Rochester, MN, 55905, USA.
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6
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Feng DC, Zhu WZ, Wang J, Li DX, Shi X, Xiong Q, You J, Han P, Qiu S, Wei Q, Yang L. The implications of single-cell RNA-seq analysis in prostate cancer: unraveling tumor heterogeneity, therapeutic implications and pathways towards personalized therapy. Mil Med Res 2024; 11:21. [PMID: 38605399 PMCID: PMC11007901 DOI: 10.1186/s40779-024-00526-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 03/25/2024] [Indexed: 04/13/2024] Open
Abstract
In recent years, advancements in single-cell and spatial transcriptomics, which are highly regarded developments in the current era, particularly the emerging integration of single-cell and spatiotemporal transcriptomics, have enabled a detailed molecular comprehension of the complex regulation of cell fate. The insights obtained from these methodologies are anticipated to significantly contribute to the development of personalized medicine. Currently, single-cell technology is less frequently utilized for prostate cancer compared with other types of tumors. Starting from the perspective of RNA sequencing technology, this review outlined the significance of single-cell RNA sequencing (scRNA-seq) in prostate cancer research, encompassing preclinical medicine and clinical applications. We summarize the differences between mouse and human prostate cancer as revealed by scRNA-seq studies, as well as a combination of multi-omics methods involving scRNA-seq to highlight the key molecular targets for the diagnosis, treatment, and drug resistance characteristics of prostate cancer. These studies are expected to provide novel insights for the development of immunotherapy and other innovative treatment strategies for castration-resistant prostate cancer. Furthermore, we explore the potential clinical applications stemming from other single-cell technologies in this review, paving the way for future research in precision medicine.
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Affiliation(s)
- De-Chao Feng
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
- Division of Surgery & Interventional Science, University College London, London, WC1E 6BT, UK.
| | - Wei-Zhen Zhu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jie Wang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Deng-Xiong Li
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xu Shi
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Qiao Xiong
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jia You
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ping Han
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Shi Qiu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Qiang Wei
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Lu Yang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
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7
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Chen H, Dong K, Ding J, Xia J, Qu F, Lan F, Liao H, Qian Y, Huang J, Xu Z, Gu Z, Shi B, Yu M, Cui X, Yu Y. CRISPR genome-wide screening identifies PAK1 as a critical driver of ARSI cross-resistance in prostate cancer progression. Cancer Lett 2024; 587:216725. [PMID: 38364963 DOI: 10.1016/j.canlet.2024.216725] [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: 10/23/2023] [Revised: 01/26/2024] [Accepted: 02/10/2024] [Indexed: 02/18/2024]
Abstract
Next-generation androgen receptor signaling inhibitors (ARSIs), such as enzalutamide (Enza) and darolutamide (Daro), are initially effective for the treatment of advanced prostate cancer (PCa) and castration-resistant prostate cancer (CRPC). However, patients often relapse and develop cross-resistance, which consequently makes drug resistance an inevitable cause of CRPC-related mortality. By conducting a comprehensive analysis of GEO datasets, CRISPR genome-wide screening results, ATAC-seq data, and RNA-seq data, we systemically identified PAK1 as a significant contributor to ARSI cross-resistance due to the activation of the PAK1/RELA/hnRNPA1/AR-V7 axis. Inhibition of PAK1 followed by suppression of NF-κB pathways and AR-V7 expression effectively overcomes ARSI cross-resistance. Our findings indicate that PAK1 represents a promising therapeutic target gene for the treatment of ARSI cross-resistant PCa patients in the clinic. STATEMENT OF SIGNIFICANCE: PAK1 drives ARSI cross-resistance in prostate cancer progression.
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Affiliation(s)
- Haojie Chen
- Department of Urology, School of Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, 200092, China; Department of Urology, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, 200062, China
| | - Keqin Dong
- Department of Urology, School of Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, 200092, China; Department of Urology, Chinese PLA General Hospital of Central Theater Command, Wuhan, 430064, China
| | - Jie Ding
- Department of Urology, School of Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, 200092, China
| | - Jia Xia
- Department of Urology, School of Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, 200092, China
| | - Fajun Qu
- Department of Urology, School of Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, 200092, China
| | - Fuying Lan
- Department of Urology, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, 200062, China
| | - Haihong Liao
- Department of Urology, School of Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, 200092, China
| | - Yuhang Qian
- Department of Urology, School of Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, 200092, China
| | - Jiacheng Huang
- Department of Urology, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, 200062, China
| | - Zihan Xu
- Department of Urology, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, 200062, China
| | - Zhengqin Gu
- Department of Urology, School of Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, 200092, China.
| | - Bowen Shi
- Department of Urology, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
| | - Mingming Yu
- Department of Ultrasound in Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
| | - Xingang Cui
- Department of Urology, School of Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, 200092, China.
| | - Yongjiang Yu
- Department of Urology, School of Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, 200092, China.
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8
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Champagne A, Chebra I, Jain P, Ringuette Goulet C, Lauzier A, Guyon A, Neveu B, Pouliot F. An Extracellular Matrix Overlay Model for Bioluminescence Microscopy to Measure Single-Cell Heterogeneous Responses to Antiandrogens in Prostate Cancer Cells. BIOSENSORS 2024; 14:175. [PMID: 38667168 PMCID: PMC11048191 DOI: 10.3390/bios14040175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 03/23/2024] [Accepted: 03/28/2024] [Indexed: 04/28/2024]
Abstract
Prostate cancer (PCa) displays diverse intra-tumoral traits, impacting its progression and treatment outcomes. This study aimed to refine PCa cell culture conditions for dynamic monitoring of androgen receptor (AR) activity at the single-cell level. We introduced an extracellular matrix-Matrigel (ECM-M) culture model, enhancing cellular tracking during bioluminescence single-cell imaging while improving cell viability. ECM-M notably tripled the traceability of poorly adherent PCa cells, facilitating robust single-cell tracking, without impeding substrate permeability or AR response. This model effectively monitored AR modulation by antiandrogens across various PCa cell lines. Single-cell imaging unveiled heterogeneous antiandrogen responses within populations, correlating non-responsive cell proportions with drug IC50 values. Integrating ECM-M culture with the PSEBC-TSTA biosensor enabled precise characterization of ARi responsiveness within diverse cell populations. Our ECM-M model stands as a promising tool to assess heterogeneous single-cell treatment responses in cancer, offering insights to link drug responses to intracellular signaling dynamics. This approach enhances our comprehension of the nuanced and dynamic nature of PCa treatment responses.
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Affiliation(s)
- Audrey Champagne
- Centre de Recherche du CHU de Québec, Université Laval, Quebec, QC G1V 4G2, Canada (I.C.); (P.J.); (C.R.G.); (A.L.); (A.G.)
- Department of Surgery (Urology), Faculty of Medicine, Laval University, Quebec, QC G1R 2J6, Canada
| | - Imene Chebra
- Centre de Recherche du CHU de Québec, Université Laval, Quebec, QC G1V 4G2, Canada (I.C.); (P.J.); (C.R.G.); (A.L.); (A.G.)
- Department of Surgery (Urology), Faculty of Medicine, Laval University, Quebec, QC G1R 2J6, Canada
| | - Pallavi Jain
- Centre de Recherche du CHU de Québec, Université Laval, Quebec, QC G1V 4G2, Canada (I.C.); (P.J.); (C.R.G.); (A.L.); (A.G.)
- Department of Surgery (Urology), Faculty of Medicine, Laval University, Quebec, QC G1R 2J6, Canada
| | - Cassandra Ringuette Goulet
- Centre de Recherche du CHU de Québec, Université Laval, Quebec, QC G1V 4G2, Canada (I.C.); (P.J.); (C.R.G.); (A.L.); (A.G.)
- Department of Surgery (Urology), Faculty of Medicine, Laval University, Quebec, QC G1R 2J6, Canada
| | - Annie Lauzier
- Centre de Recherche du CHU de Québec, Université Laval, Quebec, QC G1V 4G2, Canada (I.C.); (P.J.); (C.R.G.); (A.L.); (A.G.)
- Department of Surgery (Urology), Faculty of Medicine, Laval University, Quebec, QC G1R 2J6, Canada
| | - Antoine Guyon
- Centre de Recherche du CHU de Québec, Université Laval, Quebec, QC G1V 4G2, Canada (I.C.); (P.J.); (C.R.G.); (A.L.); (A.G.)
- Department of Surgery (Urology), Faculty of Medicine, Laval University, Quebec, QC G1R 2J6, Canada
| | - Bertrand Neveu
- Centre de Recherche du CHU de Québec, Université Laval, Quebec, QC G1V 4G2, Canada (I.C.); (P.J.); (C.R.G.); (A.L.); (A.G.)
- Department of Surgery (Urology), Faculty of Medicine, Laval University, Quebec, QC G1R 2J6, Canada
| | - Frédéric Pouliot
- Centre de Recherche du CHU de Québec, Université Laval, Quebec, QC G1V 4G2, Canada (I.C.); (P.J.); (C.R.G.); (A.L.); (A.G.)
- Department of Surgery (Urology), Faculty of Medicine, Laval University, Quebec, QC G1R 2J6, Canada
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9
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Wilkinson S, Ku AT, Lis RT, King IM, Low D, Trostel SY, Bright JR, Terrigino NT, Baj A, Fenimore JM, Li C, Vo B, Jansen CS, Ye H, Whitlock NC, Harmon SA, Carrabba NV, Atway R, Lake R, Kissick HT, Pinto PA, Choyke PL, Turkbey B, Dahut WL, Karzai F, Sowalsky AG. Localized high-risk prostate cancer harbors an androgen receptor low subpopulation susceptible to HER2 inhibition. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.09.24302395. [PMID: 38370835 PMCID: PMC10871443 DOI: 10.1101/2024.02.09.24302395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Patients diagnosed with localized high-risk prostate cancer have higher rates of recurrence, and the introduction of neoadjuvant intensive hormonal therapies seeks to treat occult micrometastatic disease by their addition to definitive treatment. Sufficient profiling of baseline disease has remained a challenge in enabling the in-depth assessment of phenotypes associated with exceptional vs. poor pathologic responses after treatment. In this study, we report comprehensive and integrative gene expression profiling of 37 locally advanced prostate tumors prior to six months of androgen deprivation therapy (ADT) plus the androgen receptor (AR) inhibitor enzalutamide prior to radical prostatectomy. A robust transcriptional program associated with HER2 activity was positively associated with poor outcome and opposed AR activity, even after adjusting for common genomic alterations in prostate cancer including PTEN loss and expression of the TMPRSS2:ERG fusion. Patients experiencing exceptional pathologic responses demonstrated lower levels of HER2 and phospho-HER2 by immunohistochemistry of biopsy tissues. The inverse correlation of AR and HER2 activity was found to be a universal feature of all aggressive prostate tumors, validated by transcriptional profiling an external cohort of 121 patients and immunostaining of tumors from 84 additional patients. Importantly, the AR activity-low, HER2 activity-high cells that resist ADT are a pre-existing subset of cells that can be targeted by HER2 inhibition alone or in combination with enzalutamide. In summary, we show that prostate tumors adopt an AR activity-low prior to antiandrogen exposure that can be exploited by treatment with HER2 inhibitors.
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Affiliation(s)
- Scott Wilkinson
- Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, MD, USA
| | - Anson T Ku
- Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, MD, USA
| | - Rosina T Lis
- Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, MD, USA
| | - Isaiah M King
- Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, MD, USA
| | - Daniel Low
- Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, MD, USA
| | - Shana Y Trostel
- Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, MD, USA
| | - John R Bright
- Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, MD, USA
| | | | - Anna Baj
- Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, MD, USA
| | - John M Fenimore
- Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, MD, USA
| | - Chennan Li
- Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, MD, USA
| | - BaoHan Vo
- Department of Urology, Emory University School of Medicine, Atlanta, GA, USA
| | - Caroline S Jansen
- Department of Urology, Emory University School of Medicine, Atlanta, GA, USA
| | - Huihui Ye
- Department of Pathology and Department of Urology, University of California Los Angeles, Los Angeles, CA, USA
| | - Nichelle C Whitlock
- Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, MD, USA
| | | | - Nicole V Carrabba
- Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, MD, USA
| | - Rayann Atway
- Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, MD, USA
| | - Ross Lake
- Laboratory of Cancer Biology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Haydn T Kissick
- Department of Urology, Emory University School of Medicine, Atlanta, GA, USA
| | - Peter A Pinto
- Urologic Oncology Branch, National Cancer Institute, Bethesda, MD, USA
| | - Peter L Choyke
- Molecular Imaging Branch, National Cancer Institute, Bethesda, MD, USA
| | - Baris Turkbey
- Molecular Imaging Branch, National Cancer Institute, Bethesda, MD, USA
| | - William L Dahut
- Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, MD, USA
| | - Fatima Karzai
- Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, MD, USA
| | - Adam G Sowalsky
- Genitourinary Malignancies Branch, National Cancer Institute, Bethesda, MD, USA
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10
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Panja S, Truica MI, Yu CY, Saggurthi V, Craige MW, Whitehead K, Tuiche MV, Al-Saadi A, Vyas R, Ganesan S, Gohel S, Coffman F, Parrott JS, Quan S, Jha S, Kim I, Schaeffer E, Kothari V, Abdulkadir SA, Mitrofanova A. Mechanism-centric regulatory network identifies NME2 and MYC programs as markers of Enzalutamide resistance in CRPC. Nat Commun 2024; 15:352. [PMID: 38191557 PMCID: PMC10774320 DOI: 10.1038/s41467-024-44686-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Accepted: 12/22/2023] [Indexed: 01/10/2024] Open
Abstract
Heterogeneous response to Enzalutamide, a second-generation androgen receptor signaling inhibitor, is a central problem in castration-resistant prostate cancer (CRPC) management. Genome-wide systems investigation of mechanisms that govern Enzalutamide resistance promise to elucidate markers of heterogeneous treatment response and salvage therapies for CRPC patients. Focusing on the de novo role of MYC as a marker of Enzalutamide resistance, here we reconstruct a CRPC-specific mechanism-centric regulatory network, connecting molecular pathways with their upstream transcriptional regulatory programs. Mining this network with signatures of Enzalutamide response identifies NME2 as an upstream regulatory partner of MYC in CRPC and demonstrates that NME2-MYC increased activities can predict patients at risk of resistance to Enzalutamide, independent of co-variates. Furthermore, our experimental investigations demonstrate that targeting MYC and its partner NME2 is beneficial in Enzalutamide-resistant conditions and could provide an effective strategy for patients at risk of Enzalutamide resistance and/or for patients who failed Enzalutamide treatment.
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Affiliation(s)
- Sukanya Panja
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
| | - Mihai Ioan Truica
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Christina Y Yu
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
| | - Vamshi Saggurthi
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
| | - Michael W Craige
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
| | - Katie Whitehead
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
| | - Mayra V Tuiche
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
- Rutgers Biomedical and Health Sciences, Rutgers School of Graduate Studies, Newark, NJ, 07039, USA
| | - Aymen Al-Saadi
- Department of Electrical and Computer Engineering, Rutgers School of Engineering, New Brunswick, NJ, 08854, USA
| | - Riddhi Vyas
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
| | - Shridar Ganesan
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, 08901, USA
| | - Suril Gohel
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
| | - Frederick Coffman
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
| | - James S Parrott
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA
| | - Songhua Quan
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Shantenu Jha
- Department of Electrical and Computer Engineering, Rutgers School of Engineering, New Brunswick, NJ, 08854, USA
| | - Isaac Kim
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, 08901, USA
- Department of Urology, Yale School of Medicine, New Heaven, CT, 06510, USA
| | - Edward Schaeffer
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Vishal Kothari
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
| | - Sarki A Abdulkadir
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
- Robert H. Lurie Comprehensive Cancer Center, Chicago, IL, 60611, USA.
| | - Antonina Mitrofanova
- Department of Health Informatics, Rutgers School of Health Professions, Newark, NJ, 07107, USA.
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, 08901, USA.
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11
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Shuai Y, Zhang H, Liu C, Wang J, Jiang Y, Sun J, Gao X, Bo X, Xiao X, Liao X, Huang C, Chen H, Jiang G. CLIC3 interacts with NAT10 to inhibit N4-acetylcytidine modification of p21 mRNA and promote bladder cancer progression. Cell Death Dis 2024; 15:9. [PMID: 38182571 PMCID: PMC10770081 DOI: 10.1038/s41419-023-06373-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 11/27/2023] [Accepted: 12/05/2023] [Indexed: 01/07/2024]
Abstract
Chromatin accessibility plays important roles in revealing the regulatory networks of gene expression, while its application in bladder cancer is yet to be fully elucidated. Chloride intracellular channel 3 (CLIC3) protein has been reported to be associated with the progression of some tumors, whereas the specific mechanism of CLIC3 in tumor remains unclear. Here, we screened for key genes in bladder cancer through the identification of transcription factor binding site clustered region (TFCR) on the basis of chromatin accessibility and TF motif. CLIC3 was identified by joint profiling of chromatin accessibility data with TCGA database. Clinically, CLIC3 expression was significantly elevated in bladder cancer and was negatively correlated with patient survival. CLIC3 promoted the proliferation of bladder cancer cells by reducing p21 expression in vitro and in vivo. Mechanistically, CLIC3 interacted with NAT10 and inhibited the function of NAT10, resulting in the downregulation of ac4C modification and stability of p21 mRNA. Overall, these findings uncover an novel mechanism of mRNA ac4C modification and CLIC3 may act as a potential therapeutic target for bladder cancer.
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Affiliation(s)
- Yujun Shuai
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Hui Zhang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Changhao Liu
- Institute of Health Service and Transfusion Medicine, Beijing, 100850, China
| | - Junting Wang
- Institute of Health Service and Transfusion Medicine, Beijing, 100850, China
| | - Yangkai Jiang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Jiayin Sun
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xincheng Gao
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xiaochen Bo
- Institute of Health Service and Transfusion Medicine, Beijing, 100850, China
| | - Xingyuan Xiao
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Xin Liao
- Department of General Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Chao Huang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Hebing Chen
- Institute of Health Service and Transfusion Medicine, Beijing, 100850, China.
| | - Guosong Jiang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
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12
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Klamann C, Lau CJ, Ruiz-Ramírez J, Schwartz GW. TooManyCellsInteractive: A visualization tool for dynamic exploration of single-cell data. Gigascience 2024; 13:giae056. [PMID: 39172544 PMCID: PMC11340645 DOI: 10.1093/gigascience/giae056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 05/27/2024] [Accepted: 07/15/2024] [Indexed: 08/24/2024] Open
Abstract
BACKGROUND As single-cell sequencing technologies continue to advance, the growing volume and complexity of the ensuing data present new analytical challenges. Large cellular populations from single-cell atlases are more difficult to visualize and require extensive processing to identify biologically relevant subpopulations. Managing these workflows is also laborious for technical users and unintuitive for nontechnical users. RESULTS We present TooManyCellsInteractive (TMCI), a browser-based JavaScript application for interactive exploration of cell populations. TMCI provides an intuitive interface to visualize and manipulate a radial tree representation of hierarchical cell subpopulations and allows users to easily overlay, filter, and compare biological features at multiple resolutions. Here we describe the software architecture and demonstrate how we used TMCI in a pan-cancer analysis to identify unique survival pathways among drug-tolerant persister cells. CONCLUSIONS TMCI will facilitate exploration and visualization of large-scale sequencing data in a user-friendly way. TMCI is freely available at https://github.com/schwartzlab-methods/too-many-cells-interactive. An example tree from data within this article is available at https://tmci.schwartzlab.ca/.
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Affiliation(s)
- Conor Klamann
- Data Sciences Institute, University of Toronto, Toronto, ON M5G 1Z5, Canada
| | - Christie J Lau
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 1L7, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Javier Ruiz-Ramírez
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 1L7, Canada
| | - Gregory W Schwartz
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 1L7, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
- Vector Institute, Toronto, ON M5G 1M1, Canada
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13
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Paxson AI, Chang LH, Gard JMC, Harryman WL, Nelson CS, Salmon SB, Marr KD, Wachsmuth LM, Ramanathan A, Ran J, Kapoor A, Marugan JJ, Henderson MJ, Sanchez TW, Cress AE. Phenotype plasticity and altered sensitivity to chemotherapeutic agents in aggressive prostate cancer cells. Front Cell Dev Biol 2023; 11:1285372. [PMID: 38046670 PMCID: PMC10690371 DOI: 10.3389/fcell.2023.1285372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 10/24/2023] [Indexed: 12/05/2023] Open
Abstract
In 2023, approximately 288,300 new diagnoses of prostate cancer will occur, with 34,700 disease-related deaths. Death from prostate cancer is associated with metastasis, enabled by progression of tumor phenotypes and successful extracapsular extension to reach Batson's venous plexus, a specific route to the spine and brain. Using a mouse-human tumor xenograft model, we isolated an aggressive muscle invasive cell population of prostate cancer, called DU145J7 with a distinct biophysical phenotype, elevated histone H3K27, and increased matrix metalloproteinase 14 expression as compared to the non-aggressive parent cell population called DU145WT. Our goal was to determine the sensitivities to known chemotherapeutic agents of the aggressive cells as compared to the parent population. High-throughput screening was performed with 5,578 compounds, comprising of approved and investigational drugs for oncology. Eleven compounds were selected for additional testing, which revealed that vorinostat, 5-azacitidine, and fimepinostat (epigenetic inhibitors) showed 2.6-to-7.5-fold increases in lethality for the aggressive prostate cancer cell population as compared to the parent, as judged by the concentration of drug to inhibit 50% cell growth (IC50). On the other hand, the DU145J7 cells were 2.2-to-4.0-fold resistant to mitoxantrone, daunorubicin, and gimatecan (topoisomerase inhibitors) as compared to DU145WT. No differences in sensitivities between cell populations were found for docetaxel or pirarubicin. The increased sensitivity of DU145J7 prostate cancer cells to chromatin modifying agents suggests a therapeutic vulnerability occurs after tumor cells invade into and through muscle. Future work will determine which epigenetic modifiers and what combinations will be most effective to eradicate early aggressive tumor populations.
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Affiliation(s)
- Allan I. Paxson
- Partnership for Native American Cancer Prevention, University of Arizona, Tucson, AZ, United States
- University of Arizona Cancer Center, University of Arizona, Tucson, AZ, United States
| | - Loren H. Chang
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, United States
| | - Jaime M. C. Gard
- University of Arizona Cancer Center, University of Arizona, Tucson, AZ, United States
| | - William L. Harryman
- University of Arizona Cancer Center, University of Arizona, Tucson, AZ, United States
| | - Colin S. Nelson
- University of Arizona Cancer Center, University of Arizona, Tucson, AZ, United States
| | - Stella B. Salmon
- University of Arizona Cancer Center, University of Arizona, Tucson, AZ, United States
| | - Kendra D. Marr
- University of Arizona Cancer Center, University of Arizona, Tucson, AZ, United States
- Medical Scientist Training MD/PhD Program, College of Medicine Tucson, University of Arizona, Tucson, AZ, United States
| | - Leah M. Wachsmuth
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, United States
| | - Anita Ramanathan
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, United States
| | - Jing Ran
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, United States
| | - Abhijeet Kapoor
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, United States
| | - Juan J. Marugan
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, United States
| | - Mark J. Henderson
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, United States
| | - Tino W. Sanchez
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, United States
| | - Anne E. Cress
- University of Arizona Cancer Center, University of Arizona, Tucson, AZ, United States
- Department of Cellular and Molecular Medicine, University of Arizona, Tucson, AZ, United States
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14
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Rautajoki KJ, Jaatinen S, Hartewig A, Tiihonen AM, Annala M, Salonen I, Valkonen M, Simola V, Vuorinen EM, Kivinen A, Rauhala MJ, Nurminen R, Maass KK, Lahtela SL, Jukkola A, Yli-Harja O, Helén P, Pajtler KW, Ruusuvuori P, Haapasalo J, Zhang W, Haapasalo H, Nykter M. Genomic characterization of IDH-mutant astrocytoma progression to grade 4 in the treatment setting. Acta Neuropathol Commun 2023; 11:176. [PMID: 37932833 PMCID: PMC10629206 DOI: 10.1186/s40478-023-01669-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 10/17/2023] [Indexed: 11/08/2023] Open
Abstract
As the progression of low-grade diffuse astrocytomas into grade 4 tumors significantly impacts patient prognosis, a better understanding of this process is of paramount importance for improved patient care. In this project, we analyzed matched IDH-mutant astrocytomas before and after progression to grade 4 from six patients (discovery cohort) with genome-wide sequencing, 21 additional patients with targeted sequencing, and 33 patients from Glioma Longitudinal AnalySiS cohort for validation. The Cancer Genome Atlas data from 595 diffuse gliomas provided supportive information. All patients in our discovery cohort received radiation, all but one underwent chemotherapy, and no patient received temozolomide (TMZ) before progression to grade 4 disease. One case in the discovery cohort exhibited a hypermutation signature associated with the inactivation of the MSH2 and DNMT3A genes. In other patients, the number of chromosomal rearrangements and deletions increased in grade 4 tumors. The cell cycle checkpoint gene CDKN2A, or less frequently RB1, was most commonly inactivated after receiving both chemo- and radiotherapy when compared to other treatment groups. Concomitant activating PDGFRA/MET alterations were detected in tumors that acquired a homozygous CDKN2A deletion. NRG3 gene was significantly downregulated and recurrently altered in progressed tumors. Its decreased expression was associated with poorer overall survival in both univariate and multivariate analysis. We also detected progression-related alterations in RAD51B and other DNA repair pathway genes associated with the promotion of error-prone DNA repair, potentially facilitating tumor progression. In our retrospective analysis of patient treatment and survival timelines (n = 75), the combination of postoperative radiation and chemotherapy (mainly TMZ) outperformed radiation, especially in the grade 3 tumor cohort, in which it was typically given after primary surgery. Our results provide further insight into the contribution of treatment and genetic alterations in cell cycle, growth factor signaling, and DNA repair-related genes to tumor evolution and progression.
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Affiliation(s)
- Kirsi J Rautajoki
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere University Hospital, Tampere, Finland.
- Tampere Institute for Advanced Study, Tampere University, Tampere, Finland.
| | - Serafiina Jaatinen
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere University Hospital, Tampere, Finland
| | - Anja Hartewig
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere University Hospital, Tampere, Finland
| | - Aliisa M Tiihonen
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere University Hospital, Tampere, Finland
| | - Matti Annala
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere University Hospital, Tampere, Finland
| | - Iida Salonen
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere University Hospital, Tampere, Finland
| | - Masi Valkonen
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Vili Simola
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere University Hospital, Tampere, Finland
| | - Elisa M Vuorinen
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere University Hospital, Tampere, Finland
| | - Anni Kivinen
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere University Hospital, Tampere, Finland
| | - Minna J Rauhala
- Department of Neurosurgery, Tampere University Hospital and Tampere University, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere, Finland
| | - Riikka Nurminen
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere University Hospital, Tampere, Finland
| | - Kendra K Maass
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Neuro Oncology, German Cancer Research Center, German Cancer Consortium (DKTK), Heidelberg, Germany
- Department of Pediatric Oncology, Hematology, Immunology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
| | - Sirpa-Liisa Lahtela
- Department of Oncology, Tampere University Hospital and Tays Cancer Centre, Tampere, Finland
| | - Arja Jukkola
- Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere, Finland
- Department of Oncology, Tampere University Hospital and Tays Cancer Centre, Tampere, Finland
| | - Olli Yli-Harja
- Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere, Finland
- Institute for Systems Biology, Seattle, WA, USA
| | - Pauli Helén
- Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere, Finland
| | - Kristian W Pajtler
- Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Neuro Oncology, German Cancer Research Center, German Cancer Consortium (DKTK), Heidelberg, Germany
- Department of Pediatric Oncology, Hematology, Immunology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
| | - Pekka Ruusuvuori
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere University Hospital, Tampere, Finland
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Joonas Haapasalo
- Department of Neurosurgery, Tampere University Hospital and Tampere University, Tampere, Finland
- Fimlab Laboratories Ltd., Tampere University Hospital, Tampere, Finland
| | - Wei Zhang
- Cancer Genomics and Precision Oncology, Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC, USA
| | - Hannu Haapasalo
- Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere, Finland
- Fimlab Laboratories Ltd., Tampere University Hospital, Tampere, Finland
| | - Matti Nykter
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Centre, Tampere University Hospital, Tampere, Finland
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15
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Patruno L, Milite S, Bergamin R, Calonaci N, D’Onofrio A, Anselmi F, Antoniotti M, Graudenzi A, Caravagna G. A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencing. PLoS Comput Biol 2023; 19:e1011557. [PMID: 37917660 PMCID: PMC10645363 DOI: 10.1371/journal.pcbi.1011557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/14/2023] [Accepted: 09/30/2023] [Indexed: 11/04/2023] Open
Abstract
Single-cell RNA and ATAC sequencing technologies enable the examination of gene expression and chromatin accessibility in individual cells, providing insights into cellular phenotypes. In cancer research, it is important to consistently analyze these states within an evolutionary context on genetic clones. Here we present CONGAS+, a Bayesian model to map single-cell RNA and ATAC profiles onto the latent space of copy number clones. CONGAS+ clusters cells into tumour subclones with similar ploidy, rendering straightforward to compare their expression and chromatin profiles. The framework, implemented on GPU and tested on real and simulated data, scales to analyse seamlessly thousands of cells, demonstrating better performance than single-molecule models, and supporting new multi-omics assays. In prostate cancer, lymphoma and basal cell carcinoma, CONGAS+ successfully identifies complex subclonal architectures while providing a coherent mapping between ATAC and RNA, facilitating the study of genotype-phenotype maps and their connection to genomic instability.
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Affiliation(s)
- Lucrezia Patruno
- Department of Informatics, Systems and Communication, Università degli Studi di Milano-Bicocca, Milan, Italy
- Department of Mathematics and Geosciences, Università degli Studi di Trieste, Trieste, Italy
| | - Salvatore Milite
- Department of Mathematics and Geosciences, Università degli Studi di Trieste, Trieste, Italy
- Centre for Computational Biology, Human Technopole, Milan, Italy
| | - Riccardo Bergamin
- Department of Mathematics and Geosciences, Università degli Studi di Trieste, Trieste, Italy
| | - Nicola Calonaci
- Department of Mathematics and Geosciences, Università degli Studi di Trieste, Trieste, Italy
| | - Alberto D’Onofrio
- Department of Mathematics and Geosciences, Università degli Studi di Trieste, Trieste, Italy
| | - Fabio Anselmi
- Department of Mathematics and Geosciences, Università degli Studi di Trieste, Trieste, Italy
| | - Marco Antoniotti
- Department of Informatics, Systems and Communication, Università degli Studi di Milano-Bicocca, Milan, Italy
- B4—Bicocca Bioinformatics Biostatistics and Bioimaging Centre, Università degli Studi di Milano-Bicocca, Milan, Italy
| | - Alex Graudenzi
- Department of Informatics, Systems and Communication, Università degli Studi di Milano-Bicocca, Milan, Italy
- B4—Bicocca Bioinformatics Biostatistics and Bioimaging Centre, Università degli Studi di Milano-Bicocca, Milan, Italy
| | - Giulio Caravagna
- Department of Mathematics and Geosciences, Università degli Studi di Trieste, Trieste, Italy
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16
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Kaljunen H, Taavitsainen S, Kaarijärvi R, Takala E, Paakinaho V, Nykter M, Bova GS, Ketola K. Fanconi anemia pathway regulation by FANCI in prostate cancer. Front Oncol 2023; 13:1260826. [PMID: 38023254 PMCID: PMC10643534 DOI: 10.3389/fonc.2023.1260826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 09/29/2023] [Indexed: 12/01/2023] Open
Abstract
Prostate cancer is one of the leading causes of death among men worldwide, and thus, research on the genetic factors enabling the formation of treatment-resistant cancer cells is crucial for improving patient outcomes. Here, we report a cell line-specific dependence on FANCI and related signaling pathways to counteract the effects of DNA-damaging chemotherapy in prostate cancer. Our results reveal that FANCI depletion results in significant downregulation of Fanconi anemia (FA) pathway members in prostate cancer cells, indicating that FANCI is an important regulator of the FA pathway. Furthermore, we found that FANCI silencing reduces proliferation in p53-expressing prostate cancer cells. This extends the evidence that inactivation of FANCI may convert cancer cells from a resistant state to an eradicable state under the stress of DNA-damaging chemotherapy. Our results also indicate that high expression of FA pathway genes correlates with poorer survival in prostate cancer patients. Moreover, genomic alterations of FA pathway members are prevalent in prostate adenocarcinoma patients; mutation and copy number information for the FA pathway genes in seven patient cohorts (N = 1,732 total tumor samples) reveals that 1,025 (59.2%) tumor samples have an alteration in at least one of the FA pathway genes, suggesting that genomic alteration of the pathway is a prominent feature in patients with the disease.
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Affiliation(s)
- Heidi Kaljunen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Sinja Taavitsainen
- Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - Roosa Kaarijärvi
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Eerika Takala
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Ville Paakinaho
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Matti Nykter
- Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - G. Steven Bova
- Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - Kirsi Ketola
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
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17
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Zhou R, Yang G, Zhang Y, Wang Y. Spatial transcriptomics in development and disease. MOLECULAR BIOMEDICINE 2023; 4:32. [PMID: 37806992 PMCID: PMC10560656 DOI: 10.1186/s43556-023-00144-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 08/29/2023] [Indexed: 10/10/2023] Open
Abstract
The proper functioning of diverse biological systems depends on the spatial organization of their cells, a critical factor for biological processes like shaping intricate tissue functions and precisely determining cell fate. Nonetheless, conventional bulk or single-cell RNA sequencing methods were incapable of simultaneously capturing both gene expression profiles and the spatial locations of cells. Hence, a multitude of spatially resolved technologies have emerged, offering a novel dimension for investigating regional gene expression, spatial domains, and interactions between cells. Spatial transcriptomics (ST) is a method that maps gene expression in tissue while preserving spatial information. It can reveal cellular heterogeneity, spatial organization and functional interactions in complex biological systems. ST can also complement and integrate with other omics methods to provide a more comprehensive and holistic view of biological systems at multiple levels of resolution. Since the advent of ST, new methods offering higher throughput and resolution have become available, holding significant potential to expedite fresh insights into comprehending biological complexity. Consequently, a rapid increase in associated research has occurred, using these technologies to unravel the spatial complexity during developmental processes or disease conditions. In this review, we summarize the recent advancement of ST in historical, technical, and application contexts. We compare different types of ST methods based on their principles and workflows, and present the bioinformatics tools for analyzing and integrating ST data with other modalities. We also highlight the applications of ST in various domains of biomedical research, especially development and diseases. Finally, we discuss the current limitations and challenges in the field, and propose the future directions of ST.
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Affiliation(s)
- Ran Zhou
- Department of Neurosurgery, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Gaoxia Yang
- Department of Neurosurgery, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, China
- National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Yan Zhang
- National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
| | - Yuan Wang
- Department of Neurosurgery, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
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18
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Fang B, Zhu Y. Applying prediction models in clinical practice: the importance of fine details. Prostate Cancer Prostatic Dis 2023:10.1038/s41391-023-00734-7. [PMID: 37803242 DOI: 10.1038/s41391-023-00734-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 09/17/2023] [Accepted: 09/28/2023] [Indexed: 10/08/2023]
Affiliation(s)
- Bangwei Fang
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Genitourinary Cancer Institute, Shanghai, 200032, China
| | - Yao Zhu
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
- Shanghai Genitourinary Cancer Institute, Shanghai, 200032, China.
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19
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Hou Y, Yao H, Lin JM. Recent advancements in single-cell metabolic analysis for pharmacological research. J Pharm Anal 2023; 13:1102-1116. [PMID: 38024859 PMCID: PMC10658044 DOI: 10.1016/j.jpha.2023.08.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/12/2023] [Accepted: 08/18/2023] [Indexed: 12/01/2023] Open
Abstract
Cellular heterogeneity is crucial for understanding tissue biology and disease pathophysiology. Pharmacological research is being advanced by single-cell metabolic analysis, which offers a technique to identify variations in RNA, proteins, metabolites, and drug molecules in cells. In this review, the recent advancement of single-cell metabolic analysis techniques and their applications in drug metabolism and drug response are summarized. High-precision and controlled single-cell isolation and manipulation are provided by microfluidics-based methods, such as droplet microfluidics, microchamber, open microfluidic probe, and digital microfluidics. They are used in tandem with variety of detection techniques, including optical imaging, Raman spectroscopy, electrochemical detection, RNA sequencing, and mass spectrometry, to evaluate single-cell metabolic changes in response to drug administration. The advantages and disadvantages of different techniques are discussed along with the challenges and future directions for single-cell analysis. These techniques are employed in pharmaceutical analysis for studying drug response and resistance pathway, therapeutic targets discovery, and in vitro disease model evaluation.
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Affiliation(s)
- Ying Hou
- Beijing Key Laboratory of Microanalytical Methods and Instrumentation, Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology (Ministry of Education), Department of Chemistry, Tsinghua University, Beijing, 100084, China
| | - Hongren Yao
- Beijing Key Laboratory of Microanalytical Methods and Instrumentation, Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology (Ministry of Education), Department of Chemistry, Tsinghua University, Beijing, 100084, China
| | - Jin-Ming Lin
- Beijing Key Laboratory of Microanalytical Methods and Instrumentation, Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology (Ministry of Education), Department of Chemistry, Tsinghua University, Beijing, 100084, China
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20
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Yu W, Wang C, Shang Z, Tian J. Unveiling novel insights in prostate cancer through single-cell RNA sequencing. Front Oncol 2023; 13:1224913. [PMID: 37746302 PMCID: PMC10514910 DOI: 10.3389/fonc.2023.1224913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 08/15/2023] [Indexed: 09/26/2023] Open
Abstract
Single-cell RNA sequencing (scRNA-seq) is a cutting-edge technology that provides insights at the individual cell level. In contrast to traditional bulk RNA-seq, which captures gene expression at an average level and may overlook important details, scRNA-seq examines each individual cell as a fundamental unit and is particularly well-suited for identifying rare cell populations. Analogous to a microscope that distinguishes various cell types within a tissue sample, scRNA-seq unravels the heterogeneity and diversity within a single cell species, offering great potential as a leading sequencing method in the future. In the context of prostate cancer (PCa), a disease characterized by significant heterogeneity and multiple stages of progression, scRNA-seq emerges as a powerful tool for uncovering its intricate secrets.
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Affiliation(s)
| | | | - Zhiqun Shang
- Tianjin Institute of Urology, Second Hospital of Tianjin Medical University, Tianjin, China
| | - Jing Tian
- Tianjin Institute of Urology, Second Hospital of Tianjin Medical University, Tianjin, China
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21
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Logotheti S, Papadaki E, Zolota V, Logothetis C, Vrahatis AG, Soundararajan R, Tzelepi V. Lineage Plasticity and Stemness Phenotypes in Prostate Cancer: Harnessing the Power of Integrated "Omics" Approaches to Explore Measurable Metrics. Cancers (Basel) 2023; 15:4357. [PMID: 37686633 PMCID: PMC10486655 DOI: 10.3390/cancers15174357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 08/21/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023] Open
Abstract
Prostate cancer (PCa), the most frequent and second most lethal cancer type in men in developed countries, is a highly heterogeneous disease. PCa heterogeneity, therapy resistance, stemness, and lethal progression have been attributed to lineage plasticity, which refers to the ability of neoplastic cells to undergo phenotypic changes under microenvironmental pressures by switching between developmental cell states. What remains to be elucidated is how to identify measurements of lineage plasticity, how to implement them to inform preclinical and clinical research, and, further, how to classify patients and inform therapeutic strategies in the clinic. Recent research has highlighted the crucial role of next-generation sequencing technologies in identifying potential biomarkers associated with lineage plasticity. Here, we review the genomic, transcriptomic, and epigenetic events that have been described in PCa and highlight those with significance for lineage plasticity. We further focus on their relevance in PCa research and their benefits in PCa patient classification. Finally, we explore ways in which bioinformatic analyses can be used to determine lineage plasticity based on large omics analyses and algorithms that can shed light on upstream and downstream events. Most importantly, an integrated multiomics approach may soon allow for the identification of a lineage plasticity signature, which would revolutionize the molecular classification of PCa patients.
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Affiliation(s)
- Souzana Logotheti
- Department of Pathology, University of Patras, 26504 Patras, Greece; (S.L.); (E.P.); (V.Z.)
| | - Eugenia Papadaki
- Department of Pathology, University of Patras, 26504 Patras, Greece; (S.L.); (E.P.); (V.Z.)
- Department of Informatics, Ionian University, 49100 Corfu, Greece;
| | - Vasiliki Zolota
- Department of Pathology, University of Patras, 26504 Patras, Greece; (S.L.); (E.P.); (V.Z.)
| | - Christopher Logothetis
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
| | | | - Rama Soundararajan
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Vasiliki Tzelepi
- Department of Pathology, University of Patras, 26504 Patras, Greece; (S.L.); (E.P.); (V.Z.)
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22
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Nie J, Zhang P, Liang C, Yu Y, Wang X. ASCL1-mediated ferroptosis resistance enhances the progress of castration-resistant prostate cancer to neurosecretory prostate cancer. Free Radic Biol Med 2023; 205:318-331. [PMID: 37355053 DOI: 10.1016/j.freeradbiomed.2023.06.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 06/05/2023] [Accepted: 06/09/2023] [Indexed: 06/26/2023]
Abstract
Neuroendocrine prostate cancer (NEPC) is a multi-resistant variant of prostate cancer (PCa) that frequently emerges in castration-resistant prostate cancer (CRPC). NEPC is usually associated with tumor aggression, hormone therapy resistance, and poor clinical outcome. However, the mechanisms underlying the trans-differentiation from CRPC to NEPC have not been elucidated. Achaete-scute complex-like 1 (ASCL1) plays a role in neuronal commitment and differentiation and olfactory and autonomic neuron generation. This study revealed that ASCL1 was regulated by the SRY-box transcription factor 2 (SOX2) and highly expressed in NEPC cells, which was closely related to poor prognosis. Moreover, ASCL1 overexpression significantly enhanced CRPC progression to NEPC by resisting ferroptosis. Mechanically, ferroptosis resistance was mediated by CAMP-responsive element binding protein 1 (CREB1) phosphorylation, promoted by substantially upregulated ASCL1 in NEPC cells. In addition, upregulated SOX2 induced PCa cell differentiation into neuroendocrine tumors by mediating their lineage changes. In conclusion, inhibiting the ferroptosis resistance mediated by ASCL1 could provide a new NEPC therapeutic target and increase patient survival.
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Affiliation(s)
- Jiawei Nie
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China
| | - Peng Zhang
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China.
| | - Chaoqi Liang
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China
| | - Ying Yu
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China; Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China; Cancer Precision Diagnosis and Treatment and Translational Medicine, Hubei Engineering Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China.
| | - Xinghuan Wang
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China; Department of Biological Repositories, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China; Cancer Precision Diagnosis and Treatment and Translational Medicine, Hubei Engineering Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China; Research Center of Wuhan for Infectious Diseases and Cancer, Chinese Academy of Medical Sciences, Wuhan, 430071, PR China.
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23
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Ye J, Cai S, Feng Y, Li J, Cai Z, Deng Y, Liu R, Zhu X, Lu J, Zhuo Y, Liang Y, Xie J, Zhang Y, He H, Han Z, Jia Z, Zhong W. Metformin escape in prostate cancer by activating the PTGR1 transcriptional program through a novel super-enhancer. Signal Transduct Target Ther 2023; 8:303. [PMID: 37582751 PMCID: PMC10427640 DOI: 10.1038/s41392-023-01516-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 05/25/2023] [Accepted: 05/30/2023] [Indexed: 08/17/2023] Open
Abstract
The therapeutic efficacy of metformin in prostate cancer (PCa) appears uncertain based on various clinical trials. Metformin treatment failure may be attributed to the high frequency of transcriptional dysregulation, which leads to drug resistance. However, the underlying mechanism is still unclear. In this study, we found evidences that metformin resistance in PCa cells may be linked to cell cycle reactivation. Super-enhancers (SEs), crucial regulatory elements, have been shown to be associated with drug resistance in various cancers. Our analysis of SEs in metformin-resistant (MetR) PCa cells revealed a correlation with Prostaglandin Reductase 1 (PTGR1) expression, which was identified as significantly increased in a cluster of cells with metformin resistance through single-cell transcriptome sequencing. Our functional experiments showed that PTGR1 overexpression accelerated cell cycle progression by promoting progression from the G0/G1 to the S and G2/M phases, resulting in reduced sensitivity to metformin. Additionally, we identified key transcription factors that significantly increase PTGR1 expression, such as SRF and RUNX3, providing potential new targets to address metformin resistance in PCa. In conclusion, our study sheds new light on the cellular mechanism underlying metformin resistance and the regulation of the SE-TFs-PTGR1 axis, offering potential avenues to enhance metformin's therapeutic efficacy in PCa.
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Affiliation(s)
- Jianheng Ye
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
| | - Shanghua Cai
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
- Urology Key Laboratory of Guangdong Province, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, 510230, Guangzhou, Guangdong, China
- Guangzhou National Laboratory, No. 9 XingDaoHuanBei Road, Guangzhou International Bio Island, 510005, Guangzhou, Guangdong, China
| | - Yuanfa Feng
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
- Urology Key Laboratory of Guangdong Province, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, 510230, Guangzhou, Guangdong, China
| | - Jinchuang Li
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
| | - Zhiduan Cai
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
| | - Yulin Deng
- Urology Key Laboratory of Guangdong Province, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, 510230, Guangzhou, Guangdong, China
| | - Ren Liu
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
| | - Xuejin Zhu
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
| | - Jianming Lu
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
| | - Yangjia Zhuo
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
| | - Yingke Liang
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
| | - Jianjiang Xie
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China
| | - Yanqiong Zhang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, 100700, Beijing, China
| | - Huichan He
- Urology Key Laboratory of Guangdong Province, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, 510230, Guangzhou, Guangdong, China
| | - Zhaodong Han
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China.
| | - Zhenyu Jia
- Department of Botany and Plant Sciences, University of California, Riverside, CA, 92507, USA.
- Graduate Program in Genetics, Genomics & Bioinformatics, University of California, Riverside, CA, 92507, USA.
| | - Weide Zhong
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, 510180, Guangzhou, Guangdong, China.
- Urology Key Laboratory of Guangdong Province, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, 510230, Guangzhou, Guangdong, China.
- Guangzhou National Laboratory, No. 9 XingDaoHuanBei Road, Guangzhou International Bio Island, 510005, Guangzhou, Guangdong, China.
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Taipa, 999078, Macau, China.
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24
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Lundberg A, Zhang M, Aggarwal R, Li H, Zhang L, Foye A, Sjöström M, Chou J, Chang K, Moreno-Rodriguez T, Shrestha R, Baskin A, Zhu X, Weinstein AS, Younger N, Alumkal JJ, Beer TM, Chi KN, Evans CP, Gleave M, Lara PN, Reiter RE, Rettig MB, Witte ON, Wyatt AW, Feng FY, Small EJ, Quigley DA. The Genomic and Epigenomic Landscape of Double-Negative Metastatic Prostate Cancer. Cancer Res 2023; 83:2763-2774. [PMID: 37289025 PMCID: PMC10425725 DOI: 10.1158/0008-5472.can-23-0593] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 04/20/2023] [Accepted: 06/02/2023] [Indexed: 06/09/2023]
Abstract
Systemic targeted therapy in prostate cancer is primarily focused on ablating androgen signaling. Androgen deprivation therapy and second-generation androgen receptor (AR)-targeted therapy selectively favor the development of treatment-resistant subtypes of metastatic castration-resistant prostate cancer (mCRPC), defined by AR and neuroendocrine (NE) markers. Molecular drivers of double-negative (AR-/NE-) mCRPC are poorly defined. In this study, we comprehensively characterized treatment-emergent mCRPC by integrating matched RNA sequencing, whole-genome sequencing, and whole-genome bisulfite sequencing from 210 tumors. AR-/NE- tumors were clinically and molecularly distinct from other mCRPC subtypes, with the shortest survival, amplification of the chromatin remodeler CHD7, and PTEN loss. Methylation changes in CHD7 candidate enhancers were linked to elevated CHD7 expression in AR-/NE+ tumors. Genome-wide methylation analysis nominated Krüppel-like factor 5 (KLF5) as a driver of the AR-/NE- phenotype, and KLF5 activity was linked to RB1 loss. These observations reveal the aggressiveness of AR-/NE- mCRPC and could facilitate the identification of therapeutic targets in this highly aggressive disease. SIGNIFICANCE Comprehensive characterization of the five subtypes of metastatic castration-resistant prostate cancer identified transcription factors that drive each subtype and showed that the double-negative subtype has the worst prognosis.
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Affiliation(s)
- Arian Lundberg
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Meng Zhang
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Rahul Aggarwal
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, California
| | - Haolong Li
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Li Zhang
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - Adam Foye
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Martin Sjöström
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Jonathan Chou
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, California
| | - Kevin Chang
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, California
| | - Thaidy Moreno-Rodriguez
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Urology, University of California San Francisco, San Francisco, California
| | - Raunak Shrestha
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Avi Baskin
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Xiaolin Zhu
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, California
| | - Alana S. Weinstein
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Noah Younger
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, California
| | - Joshi J. Alumkal
- Division of Hematology and Oncology, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan
| | - Tomasz M. Beer
- Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon
| | - Kim N. Chi
- Vancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Christopher P. Evans
- Comprehensive Cancer Center, University of California Davis, Sacramento, California
- Department of Urologic Surgery, University of California Davis, Sacramento, California
| | - Martin Gleave
- Vancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada
| | - Primo N. Lara
- Comprehensive Cancer Center, University of California Davis, Sacramento, California
- Division of Hematology Oncology, Department of Internal Medicine, University of California Davis, Sacramento, California
| | - Rob E. Reiter
- Departments of Medicine, Hematology/Oncology and Urology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
- Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, California
| | - Matthew B. Rettig
- Departments of Medicine, Hematology/Oncology and Urology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
- Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, California
- VA Greater Los Angeles Healthcare System, Los Angeles, California
| | - Owen N. Witte
- Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Alexander W. Wyatt
- Vancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada
- Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
| | - Felix Y. Feng
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, California
- Department of Urology, University of California San Francisco, San Francisco, California
| | - Eric J. Small
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco, California
| | - David A. Quigley
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Urology, University of California San Francisco, San Francisco, California
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
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25
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Chaddad A, Tan G, Liang X, Hassan L, Rathore S, Desrosiers C, Katib Y, Niazi T. Advancements in MRI-Based Radiomics and Artificial Intelligence for Prostate Cancer: A Comprehensive Review and Future Prospects. Cancers (Basel) 2023; 15:3839. [PMID: 37568655 PMCID: PMC10416937 DOI: 10.3390/cancers15153839] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/25/2023] [Accepted: 07/26/2023] [Indexed: 08/13/2023] Open
Abstract
The use of multiparametric magnetic resonance imaging (mpMRI) has become a common technique used in guiding biopsy and developing treatment plans for prostate lesions. While this technique is effective, non-invasive methods such as radiomics have gained popularity for extracting imaging features to develop predictive models for clinical tasks. The aim is to minimize invasive processes for improved management of prostate cancer (PCa). This study reviews recent research progress in MRI-based radiomics for PCa, including the radiomics pipeline and potential factors affecting personalized diagnosis. The integration of artificial intelligence (AI) with medical imaging is also discussed, in line with the development trend of radiogenomics and multi-omics. The survey highlights the need for more data from multiple institutions to avoid bias and generalize the predictive model. The AI-based radiomics model is considered a promising clinical tool with good prospects for application.
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Affiliation(s)
- Ahmad Chaddad
- School of Artificial Intelligence, Guilin Universiy of Electronic Technology, Guilin 541004, China
- The Laboratory for Imagery, Vision and Artificial Intelligence, École de Technologie Supérieure (ETS), Montreal, QC H3C 1K3, Canada
| | - Guina Tan
- School of Artificial Intelligence, Guilin Universiy of Electronic Technology, Guilin 541004, China
| | - Xiaojuan Liang
- School of Artificial Intelligence, Guilin Universiy of Electronic Technology, Guilin 541004, China
| | - Lama Hassan
- School of Artificial Intelligence, Guilin Universiy of Electronic Technology, Guilin 541004, China
| | | | - Christian Desrosiers
- The Laboratory for Imagery, Vision and Artificial Intelligence, École de Technologie Supérieure (ETS), Montreal, QC H3C 1K3, Canada
| | - Yousef Katib
- Department of Radiology, Taibah University, Al Madinah 42361, Saudi Arabia
| | - Tamim Niazi
- Lady Davis Institute for Medical Research, McGill University, Montreal, QC H3T 1E2, Canada
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Samur MK, Szalat R, Munshi NC. Single-cell profiling in multiple myeloma: insights, problems, and promises. Blood 2023; 142:313-324. [PMID: 37196627 PMCID: PMC10485379 DOI: 10.1182/blood.2022017145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 04/05/2023] [Accepted: 05/11/2023] [Indexed: 05/19/2023] Open
Abstract
In a short time, single-cell platforms have become the norm in many fields of research, including multiple myeloma (MM). In fact, the large amount of cellular heterogeneity in MM makes single-cell platforms particularly attractive because bulk assessments can miss valuable information about cellular subpopulations and cell-to-cell interactions. The decreasing cost and increasing accessibility of single-cell platform, combined with breakthroughs in obtaining multiomics data for the same cell and innovative computational programs for analyzing data, have allowed single-cell studies to make important insights into MM pathogenesis; yet, there is still much to be done. In this review, we will first focus on the types of single-cell profiling and the considerations for designing a single-cell profiling experiment. Then, we will discuss what have learned from single-cell profiling about myeloma clonal evolution, transcriptional reprogramming, and drug resistance, and about the MM microenvironment during precursor and advanced disease.
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Affiliation(s)
- Mehmet Kemal Samur
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Raphael Szalat
- Department of Hematology and Medical Oncology, Boston University Medical Center, Boston, MA
| | - Nikhil C. Munshi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
- VA Boston Healthcare System, Boston, MA
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Yu X, Liu R, Gao W, Wang X, Zhang Y. Single-cell omics traces the heterogeneity of prostate cancer cells and the tumor microenvironment. Cell Mol Biol Lett 2023; 28:38. [PMID: 37161356 PMCID: PMC10170780 DOI: 10.1186/s11658-023-00450-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 04/17/2023] [Indexed: 05/11/2023] Open
Abstract
Prostate cancer is one of the more heterogeneous tumour types. In recent years, with the rapid development of single-cell sequencing and spatial transcriptome technologies, researchers have gained a more intuitive and comprehensive understanding of the heterogeneity of prostate cancer. Tumour-associated epithelial cells; cancer-associated fibroblasts; the complexity of the immune microenvironment, and the heterogeneity of the spatial distribution of tumour cells and other cancer-promoting molecules play a crucial role in the growth, invasion, and metastasis of prostate cancer. Single-cell multi-omics biotechnology, especially single-cell transcriptome sequencing, reveals the expression level of single cells with higher resolution and finely dissects the molecular characteristics of different tumour cells. We reviewed the recent literature on prostate cancer cells, focusing on single-cell RNA sequencing. And we analysed the heterogeneity and spatial distribution differences of different tumour cell types. We discussed the impact of novel single-cell omics technologies, such as rich omics exploration strategies, multi-omics joint analysis modes, and deep learning models, on future prostate cancer research. In this review, we have constructed a comprehensive catalogue of single-cell omics studies in prostate cancer. This article aimed to provide a more thorough understanding of the diagnosis and treatment of prostate cancer. We summarised and proposed several key issues and directions on applying single-cell multi-omics and spatial transcriptomics to understand the heterogeneity of prostate cancer. Finally, we discussed single-cell omics trends and future directions in prostate cancer.
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Affiliation(s)
- Xudong Yu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China
- Beijing Tumour Minimally Invasive Medical Center of Integrated Traditional Chinese and Western Medicine, Beijing, 101121, China
| | - Ruijia Liu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Wenfeng Gao
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Xuyun Wang
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
| | - Yaosheng Zhang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
- Beijing Tumour Minimally Invasive Medical Center of Integrated Traditional Chinese and Western Medicine, Beijing, 101121, China.
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Zhang Q, Zhang P, Zhao Z, Wang J, Zhang H. Exploring the role of differentially expressed metabolic genes and their mechanisms in bone metastatic prostate cancer. PeerJ 2023; 11:e15013. [PMID: 37070095 PMCID: PMC10105558 DOI: 10.7717/peerj.15013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 02/16/2023] [Indexed: 04/19/2023] Open
Abstract
Background Approximately 10-20% of patients diagnosed with prostate cancer (PCa) evolve into castration-resistant prostate cancer (CRPC), while nearly 90% of patients with metastatic CRPC (mCRPC) exhibit osseous metastases (BM). These BM are intimately correlated with the stability of the tumour microenvironment. Purpose This study aspires to uncover the metabolism-related genes and the underlying mechanisms responsible for bone metastatic prostate cancer (BMPCa). Methods Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) datasets of PCa and BM were analyzed through R Studio software to identify differentially expressed genes (DEGs). The DEGs underwent functional enrichment via Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO), with key factors screened by a random forest utilized to establish a prognostic model for PCa. The study explored the relationship between DEGs and the stability of the immune microenvironment. The action and specificity of CRISP3 in PCa was validated through western blot analysis, CCK-8 assay, scratch assay, and cellular assay. Results The screening of GEO and TCGA datasets resulted in the identification of 199 co-differential genes. Three DEGs, including DES, HBB, and SLPI, were selected by random forest classification model and cox regression model. Immuno-infiltration analysis disclosed that a higher infiltration of naïve B cells and resting CD4 memory T cells occurred in the high-expression group of DES, whereas infiltration of resting M1 macrophages and NK cells was greater in the low-expression group of DES. A significant infiltration of neutrophils was observed in the high-expression group of HBB, while greater infiltration of gamma delta T cells and M1 macrophages was noted in the low-expression group of HBB. Resting dendritic cells, CD8 T cells, and resting T regulatory cells (Tregs) infiltrated significantly in the high-expression group of SLPI, while only resting mast cells infiltrated significantly in the low-expression group of SLPI. CRISP3 was established as a critical gene in BMPCa linked to DES expression. Targeting CRISP3, d-glucopyranose may impact tumour prognosis. During the mechanistic experiments, it was established that CRISP3 can advance the proliferation and metastatic potential of PCa by advancing epithelial-to-mesenchymal transition (EMT). Conclusion By modulating lipid metabolism and maintaining immunological and microenvironmental balance, DES, HBB, and SLPI suppress prostate cancer cell growth. The presence of DES-associated CRISP3 is a harbinger of unfavorable outcomes in prostate cancer and may escalate tumor proliferation and metastatic capabilities by inducing epithelial-mesenchymal transition.
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Affiliation(s)
- Qingfu Zhang
- Department of Urology, Tai ’an Central Hospital, Tai ’an, Shandong, China
| | - Peng Zhang
- Department of Spine Surgery, Tai ’an Central Hospital, Tai ’an, Shandong, China
| | - Zhongting Zhao
- Department of Spinal Surgery, The Third People’s Hospital of Jinan, Jinan, Shandong, China
| | - Jun Wang
- Department of Emergency, Qingdao Eighth People’s Hospital, Qingdao, China
| | - Hepeng Zhang
- Department of Urology, Tai ’an Central Hospital, Tai ’an, Shandong, China
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Fan H, Li J, Manuel AM, Zhao Z. Enzalutamide-induced signatures revealed by epigenetic plasticity using single-cell multi-omics sequencing in prostate cancer. MOLECULAR THERAPY. NUCLEIC ACIDS 2023; 31:648-661. [PMID: 36910711 PMCID: PMC9995291 DOI: 10.1016/j.omtn.2023.02.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 02/15/2023] [Indexed: 02/19/2023]
Abstract
Prostate cancer is morphologically and molecularly heterogeneous, which poses obstacles for early diagnosis and treatment. Advancements in understanding the heterogeneity of prostate cancer will help navigate through these challenges and ultimately benefit patients. In this study, we integrated single-cell sequencing for transposase-accessible chromatin and whole transcriptome in prostate cancer cell lines, aiming to decode the epigenetic plasticity upon enzalutamide (ENZ) treatment. By comparing the cell populations representing early-treatment response or resistance to the initial tumor cells, we identified seven signature gene sets; they present consistent trends of chromatin closing co-occurred with down-regulated genes during early response and chromatin opening with up-regulated genes upon maintaining drug resistance. In the molecular signatures, we found genes ZNF337, MAPK15, and ESRRG are favorable in progression-free prognosis during early response, while genes CCDC150, CCDC18, and POC1A marked poor prognosis underpinning the pre-existing drug resistance in The Cancer Genome Atlas prostate adenocarcinoma cohort. Ultimately, drug-target analyses nominated combinatory drug candidates to either enhance early-treatment response or potentially overcome ENZ resistance. Together, our integrative, single-cell multi-omics approach in pre-clinical models is effective in identifying informative signatures from complex molecular events, illustrating diverse drug responses in prostate cancer, and invoking novel combinatory drug strategies to inform clinical decision making.
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Affiliation(s)
- Huihui Fan
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.,Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jinze Li
- Environmental and Occupational Health Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Astrid M Manuel
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Zhongming Zhao
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.,Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.,MD Anderson Cancer Center, University of Texas Health Graduate School of Biomedical Sciences, Houston, TX 77030, USA
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30
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Sailer V, von Amsberg G, Duensing S, Kirfel J, Lieb V, Metzger E, Offermann A, Pantel K, Schuele R, Taubert H, Wach S, Perner S, Werner S, Aigner A. Experimental in vitro, ex vivo and in vivo models in prostate cancer research. Nat Rev Urol 2023; 20:158-178. [PMID: 36451039 DOI: 10.1038/s41585-022-00677-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/25/2022] [Indexed: 12/02/2022]
Abstract
Androgen deprivation therapy has a central role in the treatment of advanced prostate cancer, often causing initial tumour remission before increasing independence from signal transduction mechanisms of the androgen receptor and then eventual disease progression. Novel treatment approaches are urgently needed, but only a fraction of promising drug candidates from the laboratory will eventually reach clinical approval, highlighting the demand for critical assessment of current preclinical models. Such models include standard, genetically modified and patient-derived cell lines, spheroid and organoid culture models, scaffold and hydrogel cultures, tissue slices, tumour xenograft models, patient-derived xenograft and circulating tumour cell eXplant models as well as transgenic and knockout mouse models. These models need to account for inter-patient and intra-patient heterogeneity, the acquisition of primary or secondary resistance, the interaction of tumour cells with their microenvironment, which make crucial contributions to tumour progression and resistance, as well as the effects of the 3D tissue network on drug penetration, bioavailability and efficacy.
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Affiliation(s)
- Verena Sailer
- Institute for Pathology, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
| | - Gunhild von Amsberg
- Department of Oncology and Hematology, University Cancer Center Hamburg Eppendorf and Martini-Klinik, Prostate Cancer Center, University Hospital Hamburg Eppendorf, Hamburg, Germany
| | - Stefan Duensing
- Section of Molecular Urooncology, Department of Urology, University Hospital Heidelberg and National Center for Tumour Diseases, Heidelberg, Germany
| | - Jutta Kirfel
- Institute for Pathology, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
| | - Verena Lieb
- Research Division Molecular Urology, Department of Urology and Paediatric Urology, University Hospital Erlangen, Erlangen, Germany
| | - Eric Metzger
- Department of Urology, Center for Clinical Research, University of Freiburg Medical Center, Freiburg, Germany
| | - Anne Offermann
- Institute for Pathology, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
| | - Klaus Pantel
- Institute for Tumour Biology, Center for Experimental Medicine, University Clinics Hamburg-Eppendorf, Hamburg, Germany
- Mildred-Scheel-Nachwuchszentrum HaTRiCs4, University Cancer Center Hamburg, Hamburg, Germany
| | - Roland Schuele
- Department of Urology, Center for Clinical Research, University of Freiburg Medical Center, Freiburg, Germany
| | - Helge Taubert
- Research Division Molecular Urology, Department of Urology and Paediatric Urology, University Hospital Erlangen, Erlangen, Germany
| | - Sven Wach
- Research Division Molecular Urology, Department of Urology and Paediatric Urology, University Hospital Erlangen, Erlangen, Germany
| | - Sven Perner
- University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
- Pathology, Research Center Borstel, Leibniz Lung Center, Borstel, Germany
| | - Stefan Werner
- Institute for Tumour Biology, Center for Experimental Medicine, University Clinics Hamburg-Eppendorf, Hamburg, Germany
- Mildred-Scheel-Nachwuchszentrum HaTRiCs4, University Cancer Center Hamburg, Hamburg, Germany
| | - Achim Aigner
- Clinical Pharmacology, Rudolf-Boehm-Institute for Pharmacology and Toxicology, University of Leipzig, Medical Faculty, Leipzig, Germany.
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31
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Severson TM, Zhu Y, Prekovic S, Schuurman K, Nguyen HM, Brown LG, Hakkola S, Kim Y, Kneppers J, Linder S, Stelloo S, Lieftink C, van der Heijden M, Nykter M, van der Noort V, Sanders J, Morris B, Jenster G, van Leenders GJLH, Pomerantz M, Freedman ML, Beijersbergen RL, Urbanucci A, Wessels L, Corey E, Zwart W, Bergman AM. Enhancer profiling identifies epigenetic markers of endocrine resistance and reveals therapeutic options for metastatic castration-resistant prostate cancer patients. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.02.24.23286403. [PMID: 36865297 PMCID: PMC9980263 DOI: 10.1101/2023.02.24.23286403] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
Androgen Receptor (AR) signaling inhibitors, including enzalutamide, are treatment options for patients with metastatic castration-resistant prostate cancer (mCRPC), but resistance inevitably develops. Using metastatic samples from a prospective phase II clinical trial, we epigenetically profiled enhancer/promoter activities with H3K27ac chromatin immunoprecipitation followed by sequencing, before and after AR-targeted therapy. We identified a distinct subset of H3K27ac-differentially marked regions that associated with treatment responsiveness. These data were successfully validated in mCRPC patient-derived xenograft models (PDX). In silico analyses revealed HDAC3 as a critical factor that can drive resistance to hormonal interventions, which we validated in vitro . Using cell lines and mCRPC PDX tumors in vitro , we identified drug-drug synergy between enzalutamide and the pan-HDAC inhibitor vorinostat, providing therapeutic proof-of-concept. These findings demonstrate rationale for new therapeutic strategies using a combination of AR and HDAC inhibitors to improve patient outcome in advanced stages of mCRPC.
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Parry MA, Grist E, Mendes L, Dutey-Magni P, Sachdeva A, Brawley C, Murphy L, Proudfoot J, Lall S, Liu Y, Friedrich S, Ismail M, Hoyle A, Ali A, Haran A, Wingate A, Zakka L, Wetterskog D, Amos CL, Atako NB, Wang V, Rush HL, Jones RJ, Leung H, Cross WR, Gillessen S, Parker CC, Chowdhury S, Lotan T, Marafioti T, Urbanucci A, Schaeffer EM, Spratt DE, Waugh D, Powles T, Berney DM, Sydes MR, Parmar MK, Hamid AA, Feng FY, Sweeney CJ, Davicioni E, Clarke NW, James ND, Brown LC, Attard G. Clinical testing of transcriptome-wide expression profiles in high-risk localized and metastatic prostate cancer starting androgen deprivation therapy: an ancillary study of the STAMPEDE abiraterone Phase 3 trial. RESEARCH SQUARE 2023:rs.3.rs-2488586. [PMID: 36798177 PMCID: PMC9934744 DOI: 10.21203/rs.3.rs-2488586/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Metastatic and high-risk localized prostate cancer respond to hormone therapy but outcomes vary. Following a pre-specified statistical plan, we used Cox models adjusted for clinical variables to test associations with survival of multi-gene expression-based classifiers from 781 patients randomized to androgen deprivation with or without abiraterone in the STAMPEDE trial. Decipher score was strongly prognostic (p<2×10-5) and identified clinically-relevant differences in absolute benefit, especially for localized cancers. In metastatic disease, classifiers of proliferation, PTEN or TP53 loss and treatment-persistent cells were prognostic. In localized disease, androgen receptor activity was protective whilst interferon signaling (that strongly associated with tumor lymphocyte infiltration) was detrimental. Post-Operative Radiation-Therapy Outcomes Score was prognostic in localized but not metastatic disease (interaction p=0.0001) suggesting the impact of tumor biology on clinical outcome is context-dependent on metastatic state. Transcriptome-wide testing has clinical utility for advanced prostate cancer and identified worse outcomes for localized cancers with tumor-promoting inflammation.
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Affiliation(s)
| | - Emily Grist
- Cancer Institute, University College London; London, UK
| | | | - Peter Dutey-Magni
- MRC Clinical Trials Unit at University College London, Institute of Clinical Trials and Methodology, University College London; London, UK
| | - Ashwin Sachdeva
- Genito-Urinary Cancer Research Group, Division of Cancer Sciences, Manchester Cancer Research Centre, The University of Manchester; Manchester, UK
| | - Christopher Brawley
- MRC Clinical Trials Unit at University College London, Institute of Clinical Trials and Methodology, University College London; London, UK
| | - Laura Murphy
- MRC Clinical Trials Unit at University College London, Institute of Clinical Trials and Methodology, University College London; London, UK
| | | | | | | | | | | | - Alex Hoyle
- Genito-Urinary Cancer Research Group, Division of Cancer Sciences, Manchester Cancer Research Centre, The University of Manchester; Manchester, UK
- Department of Surgery, The Christie and Salford Royal Hospitals; Manchester, UK
| | - Adnan Ali
- Genito-Urinary Cancer Research Group, Division of Cancer Sciences, Manchester Cancer Research Centre, The University of Manchester; Manchester, UK
| | - Aine Haran
- Genito-Urinary Cancer Research Group, Division of Cancer Sciences, Manchester Cancer Research Centre, The University of Manchester; Manchester, UK
- Department of Surgery, The Christie and Salford Royal Hospitals; Manchester, UK
| | - Anna Wingate
- Cancer Institute, University College London; London, UK
| | - Leila Zakka
- Cancer Institute, University College London; London, UK
| | | | - Claire L. Amos
- MRC Clinical Trials Unit at University College London, Institute of Clinical Trials and Methodology, University College London; London, UK
| | - Nafisah B. Atako
- MRC Clinical Trials Unit at University College London, Institute of Clinical Trials and Methodology, University College London; London, UK
| | - Victoria Wang
- Department of Data Science, Dana-Farber Cancer Institute; Boston, USA
| | - Hannah L. Rush
- MRC Clinical Trials Unit at University College London, Institute of Clinical Trials and Methodology, University College London; London, UK
| | - Robert J. Jones
- University of Glasgow, Beatson West of Scotland Cancer Centre; Glasgow, UK
| | - Hing Leung
- University of Glasgow, Beatson West of Scotland Cancer Centre; Glasgow, UK
| | | | - Silke Gillessen
- Istituto Oncologico della Svizzera Italiana, EOC; Bellinzona, Switzerland
- Università della Svizzera Italiana; Lugano, Switzerland
| | - Chris C. Parker
- Royal Marsden NHS Foundation Trust and Institute of Cancer Research; London, UK
| | | | | | - Tamara Lotan
- Johns Hopkins University School of Medicine; Baltimore, USA
| | | | - Alfonso Urbanucci
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital; Oslo, Norway
- Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere University Hospital; Tampere, Finland
| | - Edward M. Schaeffer
- Department of Urology, Northwestern University Feinberg School of Medicine; Chicago, USA
| | - Daniel E. Spratt
- Department of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Comprehensive Cancer Center; Cleveland, USA
| | - David Waugh
- Queensland University of Technology; Brisbane, Australia
| | - Thomas Powles
- Barts Experimental Cancer Medicine Centre, Barts Cancer Institute, Queen Mary University of London; London, UK
| | - Daniel M. Berney
- Barts Cancer Institute, Queen Mary University of London; London, UK
| | - Matthew R. Sydes
- MRC Clinical Trials Unit at University College London, Institute of Clinical Trials and Methodology, University College London; London, UK
| | - Mahesh K.B. Parmar
- MRC Clinical Trials Unit at University College London, Institute of Clinical Trials and Methodology, University College London; London, UK
| | - Anis A. Hamid
- Department of Medical Oncology, Dana-Farber Cancer Institute; Boston, USA
| | - Felix Y. Feng
- University of California San Francisco; San Francisco, USA
| | | | | | - Noel W. Clarke
- Genito-Urinary Cancer Research Group, Division of Cancer Sciences, Manchester Cancer Research Centre, The University of Manchester; Manchester, UK
- Department of Surgery, The Christie and Salford Royal Hospitals; Manchester, UK
| | - Nicholas D. James
- Royal Marsden NHS Foundation Trust and Institute of Cancer Research; London, UK
| | - Louise C. Brown
- MRC Clinical Trials Unit at University College London, Institute of Clinical Trials and Methodology, University College London; London, UK
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Epigenetic mechanisms underlying subtype heterogeneity and tumor recurrence in prostate cancer. Nat Commun 2023; 14:567. [PMID: 36732329 PMCID: PMC9895058 DOI: 10.1038/s41467-023-36253-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 01/23/2023] [Indexed: 02/04/2023] Open
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Liu C, Hong T, Yu L, Chen Y, Wang S, Ren Z. Single-nucleus RNA and ATAC sequencing uncovers the molecular and cellular characteristics in the musk gland of Chinese forest musk deer (Moschus berezovskii). FASEB J 2023; 37:e22742. [PMID: 36583723 DOI: 10.1096/fj.202201372r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Revised: 11/21/2022] [Accepted: 12/16/2022] [Indexed: 12/31/2022]
Abstract
The Chinese forest musk deer (FMD; Moschus berezovskii) is an endangered artiodactyl mammal. Musk secreted by the musk gland of male has extremely high economic and medicinal value. However, the molecular and cellular characteristics of the musk gland have not been studied. Here, we investigated the diversity and transcriptional composition of musk gland cell types and the effect of cell type-specific chromatin accessibility on gene expression using single-nucleus RNA sequencing (snRNA-seq) and single-nucleus ATAC sequencing (snATAC-seq) association analysis. Based on uniform manifold approximation and projection (UMAP) analysis, we identified 13 cell types from the musk gland, which included two different acinar cells (cluster 0 and cluster 10). Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis indicated that many pathways related to musk secretion were enriched in acinar cells. Our analysis also revealed acinar cell core transcription factors and core target genes, and further constructed acinar cell-specific regulatory networks. In cluster 0, 11 core target genes (Nedd4l, Adcy9, Akr1c1, Vapb, Me1, Acsl1, Acss3, Srd5a1, Scnn1a, Acadm, and Nceh1) possibly related to musk secretion were regulated by 24 core transcription factors (SP3, NFIC, NR6A1, EHF, RUNX1, TFAP2A, RREB1, GRHL2, NFIB, ELF1, MAX, KLF5, REL, HES1, POU2F3, TFDP1, NR2C1, ATF7, MEIS1, NR4A2, NFIA, PBX1, ZNF652, and NFKB1). In cluster 10, four core target genes (Akr1c1, Pcca, Atp1b1, and Sgk1) possibly related to musk secretion were regulated by 10 core transcription factors (BARX2, EHF, PBX1, RUNX1, NFIB, FOXP1, KLF3, KLF6, ETV6, and NR3C2). Moreover, the credibility of snRNA-seq and snATAC-seq data was verified by fluorescence in situ hybridization and immunohistochemistry. Finally, cell communication analysis demonstrated that the two types of acinar cells mainly have communications in musk secretion-related processes. In conclusion, we provided important insights and invaluable resources for the molecular and cellular characteristics of the musk gland, which will lay a foundation for the study of musk secretion mechanism in the future.
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Affiliation(s)
- Chenmiao Liu
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Tingting Hong
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Lin Yu
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Yuan Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Shuhui Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Zhanjun Ren
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
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35
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Feng Y, Deng Y, Tang Z, Cai S, Li J, Liu R, Wan J, He H, Zeng G, Ye J, Han Z, Zhong W. Prognostic implication of heterogeneity and trajectory progression induced by enzalutamide in prostate cancer. Front Endocrinol (Lausanne) 2023; 14:1148898. [PMID: 37008945 PMCID: PMC10060954 DOI: 10.3389/fendo.2023.1148898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 03/01/2023] [Indexed: 03/18/2023] Open
Abstract
BACKGROUND Enzalutamide, as a second-generation endocrine therapy drug for prostate cancer (PCa), is prominent representative among the synthetic androgen receptor antagonists. Currently, there is lack of enzalutamide-induced signature (ENZ-sig) for predicting progression and relapse-free survival (RFS) in PCa. METHODS Enzalutamide-induced candidate markers were derived from single-cell RNA sequencing analysis integrating three enzalutamide-stimulated models (0-, 48-, and 168-h enzalutamide stimulation). ENZ-sig was constructed on the basis of candidate genes that were associated with RFS in The Cancer Genome Atlas leveraging least absolute shrinkage and selection operator method. The ENZ-sig was further validated in GSE70768, GSE94767, E-MTAB-6128, DFKZ, GSE21034, and GSE70769 datasets. Biological enrichment analysis was used to discover the underlying mechanism between high ENZ-sig and low ENZ-sig in single-cell RNA sequencing and bulk RNA sequencing. RESULTS We identified a heterogenous subgroup that induced by enzalutamide stimulation and found 53 enzalutamide-induced candidate markers that are related to trajectory progression and enzalutamide-stimulated. The candidate genes were further narrowed down into 10 genes that are related to RFS in PCa. A 10-gene prognostic model (ENZ-sig)-IFRD1, COL5A2, TUBA1A, CFAP69, TMEM388, ACPP, MANEA, FOSB, SH3BGRL, and ST7-was constructed for the prediction of RFS in PCa. The effective and robust predictability of ENZ-sig was verified in six independent datasets. Biological enrichment analysis revealed that differentially expressed genes in high ENZ-sig were more activated in cell cycle-related pathway. High-ENZ-sig patients were more sensitive to cell cycle-targeted drugs (MK-1775, AZD7762, and MK-8776) than low-ENZ-sig patients in PCa. CONCLUSIONS Our results provided evidence and insight on the potential utility of ENZ-sig in PCa prognosis and combination therapy strategy of enzalutamide and cell cycle-targeted compounds in treating PCa.
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Affiliation(s)
- Yuanfa Feng
- Urology Key Laboratory of Guangdong Province, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, China
- Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
| | - Yulin Deng
- Urology Key Laboratory of Guangdong Province, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Zhenfeng Tang
- Urology Key Laboratory of Guangdong Province, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Shanghua Cai
- Urology Key Laboratory of Guangdong Province, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, China
- Guangzhou Medical University, Guangzhou Laboratory, Guangzhou, Guangdong, China
| | - Jinchuang Li
- Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
| | - Ren Liu
- Guangdong Provincial Institute of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Jiaming Wan
- Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
| | - Huichan He
- Urology Key Laboratory of Guangdong Province, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Guohua Zeng
- Urology Key Laboratory of Guangdong Province, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jianheng Ye
- Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
- *Correspondence: Jianheng Ye, ; Zhaodong Han, ; Weide Zhong,
| | - Zhaodong Han
- Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
- *Correspondence: Jianheng Ye, ; Zhaodong Han, ; Weide Zhong,
| | - Weide Zhong
- Urology Key Laboratory of Guangdong Province, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong, China
- Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
- Guangzhou Medical University, Guangzhou Laboratory, Guangzhou, Guangdong, China
- Guangdong Provincial Institute of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China
- *Correspondence: Jianheng Ye, ; Zhaodong Han, ; Weide Zhong,
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36
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Xu X, Zhang Q, Li M, Lin S, Liang S, Cai L, Zhu H, Su R, Yang C. Microfluidic single‐cell multiomics analysis. VIEW 2022. [DOI: 10.1002/viw.20220034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Affiliation(s)
- Xing Xu
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Qiannan Zhang
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Mingyin Li
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Shiyan Lin
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Shanshan Liang
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Linfeng Cai
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Huanghuang Zhu
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Rui Su
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
| | - Chaoyong Yang
- Department of Chemical Biology, College of Chemistry and Chemical Engineering The First Affiliated Hospital of Xiamen UniversityXiamen University Xiamen China
- Institute of Molecular Medicine Renji Hospital Shanghai Jiao Tong University School of Medicine Shanghai China
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37
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Kneppers J, Severson TM, Siefert JC, Schol P, Joosten SEP, Yu IPL, Huang CCF, Morova T, Altıntaş UB, Giambartolomei C, Seo JH, Baca SC, Carneiro I, Emberly E, Pasaniuc B, Jerónimo C, Henrique R, Freedman ML, Wessels LFA, Lack NA, Bergman AM, Zwart W. Extensive androgen receptor enhancer heterogeneity in primary prostate cancers underlies transcriptional diversity and metastatic potential. Nat Commun 2022; 13:7367. [PMID: 36450752 PMCID: PMC9712620 DOI: 10.1038/s41467-022-35135-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 11/18/2022] [Indexed: 12/03/2022] Open
Abstract
Androgen receptor (AR) drives prostate cancer (PCa) development and progression. AR chromatin binding profiles are highly plastic and form recurrent programmatic changes that differentiate disease stages, subtypes and patient outcomes. While prior studies focused on concordance between patient subgroups, inter-tumor heterogeneity of AR enhancer selectivity remains unexplored. Here we report high levels of AR chromatin binding heterogeneity in human primary prostate tumors, that overlap with heterogeneity observed in healthy prostate epithelium. Such heterogeneity has functional consequences, as somatic mutations converge on commonly-shared AR sites in primary over metastatic tissues. In contrast, less-frequently shared AR sites associate strongly with AR-driven gene expression, while such heterogeneous AR enhancer usage also distinguishes patients' outcome. These findings indicate that epigenetic heterogeneity in primary disease is directly informative for risk of biochemical relapse. Cumulatively, our results illustrate a high level of AR enhancer heterogeneity in primary PCa driving differential expression and clinical impact.
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Affiliation(s)
- Jeroen Kneppers
- Division of Oncogenomics, Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Tesa M Severson
- Division of Oncogenomics, Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Division of Molecular Carcinogenesis, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Joseph C Siefert
- Division of Oncogenomics, Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Division of Molecular Carcinogenesis, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Pieter Schol
- Division of Oncogenomics, Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Stacey E P Joosten
- Division of Oncogenomics, Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Ivan Pak Lok Yu
- Vancouver Prostate Centre, Department of Urologic Science, University of British Columbia, Vancouver, Canada
| | - Chia-Chi Flora Huang
- Vancouver Prostate Centre, Department of Urologic Science, University of British Columbia, Vancouver, Canada
| | - Tunç Morova
- Vancouver Prostate Centre, Department of Urologic Science, University of British Columbia, Vancouver, Canada
| | | | - Claudia Giambartolomei
- Central RNA Lab, Istituto Italiano di Tecnologia, Genova, Italy
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA
| | - Ji-Heui Seo
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA
- The Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, USA
| | - Sylvan C Baca
- The Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, USA
| | - Isa Carneiro
- Department of Pathology, Cancer Biology and Epigenetics Group, Portuguese Oncology Institute of Porto and Porto Comprehensive Cancer Center, Porto, Portugal
| | - Eldon Emberly
- Department of Physics, Simon Fraser University, Burnaby, Canada
| | - Bogdan Pasaniuc
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA
| | - Carmen Jerónimo
- Department of Pathology, Cancer Biology and Epigenetics Group, Portuguese Oncology Institute of Porto and Porto Comprehensive Cancer Center, Porto, Portugal
| | - Rui Henrique
- Department of Pathology, Cancer Biology and Epigenetics Group, Portuguese Oncology Institute of Porto and Porto Comprehensive Cancer Center, Porto, Portugal
| | - Matthew L Freedman
- The Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, USA
- Department of Medical Oncology, The Center for Functional Cancer Epigenetics, Dana Farber Cancer Institute, Boston, USA
| | - Lodewyk F A Wessels
- Division of Molecular Carcinogenesis, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Nathan A Lack
- Vancouver Prostate Centre, Department of Urologic Science, University of British Columbia, Vancouver, Canada
- School of Medicine, Koç University, Istanbul, Turkey
- Koç University Research Centre for Translational Medicine (KUTTAM), Koç University, Istanbul, Turkey
| | - Andries M Bergman
- Division of Oncogenomics, Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands.
- Division of Medical Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
| | - Wilbert Zwart
- Division of Oncogenomics, Oncode Institute, Netherlands Cancer Institute, Amsterdam, The Netherlands.
- Laboratory of Chemical Biology and Institute for Complex Molecular Systems, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
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Mukherjee P, Park SH, Pathak N, Patino CA, Bao G, Espinosa HD. Integrating Micro and Nano Technologies for Cell Engineering and Analysis: Toward the Next Generation of Cell Therapy Workflows. ACS NANO 2022; 16:15653-15680. [PMID: 36154011 DOI: 10.1021/acsnano.2c05494] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The emerging field of cell therapy offers the potential to treat and even cure a diverse array of diseases for which existing interventions are inadequate. Recent advances in micro and nanotechnology have added a multitude of single cell analysis methods to our research repertoire. At the same time, techniques have been developed for the precise engineering and manipulation of cells. Together, these methods have aided the understanding of disease pathophysiology, helped formulate corrective interventions at the cellular level, and expanded the spectrum of available cell therapeutic options. This review discusses how micro and nanotechnology have catalyzed the development of cell sorting, cellular engineering, and single cell analysis technologies, which have become essential workflow components in developing cell-based therapeutics. The review focuses on the technologies adopted in research studies and explores the opportunities and challenges in combining the various elements of cell engineering and single cell analysis into the next generation of integrated and automated platforms that can accelerate preclinical studies and translational research.
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Affiliation(s)
- Prithvijit Mukherjee
- Department of Mechanical Engineering, Northwestern University, Evanston, Illinois 60208, United States
- Theoretical and Applied Mechanics Program, Northwestern University, Evanston, Illinois 60208, United States
| | - So Hyun Park
- Department of Bioengineering, Rice University, 6500 Main Street, Houston, Texas 77030, United States
| | - Nibir Pathak
- Department of Mechanical Engineering, Northwestern University, Evanston, Illinois 60208, United States
- Theoretical and Applied Mechanics Program, Northwestern University, Evanston, Illinois 60208, United States
| | - Cesar A Patino
- Department of Mechanical Engineering, Northwestern University, Evanston, Illinois 60208, United States
| | - Gang Bao
- Department of Bioengineering, Rice University, 6500 Main Street, Houston, Texas 77030, United States
| | - Horacio D Espinosa
- Department of Mechanical Engineering, Northwestern University, Evanston, Illinois 60208, United States
- Theoretical and Applied Mechanics Program, Northwestern University, Evanston, Illinois 60208, United States
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39
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Yu Q, Jiang M, Wu L. Spatial transcriptomics technology in cancer research. Front Oncol 2022; 12:1019111. [PMID: 36313703 PMCID: PMC9606570 DOI: 10.3389/fonc.2022.1019111] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 09/21/2022] [Indexed: 08/25/2023] Open
Abstract
In recent years, spatial transcriptomics (ST) technologies have developed rapidly and have been widely used in constructing spatial tissue atlases and characterizing spatiotemporal heterogeneity of cancers. Currently, ST has been used to profile spatial heterogeneity in multiple cancer types. Besides, ST is a benefit for identifying and comprehensively understanding special spatial areas such as tumor interface and tertiary lymphoid structures (TLSs), which exhibit unique tumor microenvironments (TMEs). Therefore, ST has also shown great potential to improve pathological diagnosis and identify novel prognostic factors in cancer. This review presents recent advances and prospects of applications on cancer research based on ST technologies as well as the challenges.
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Affiliation(s)
- Qichao Yu
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Miaomiao Jiang
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China
| | - Liang Wu
- Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, China
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40
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Hu K, Liu H, Lawson ND, Zhu LJ. scATACpipe: A nextflow pipeline for comprehensive and reproducible analyses of single cell ATAC-seq data. Front Cell Dev Biol 2022; 10:981859. [PMID: 36238687 PMCID: PMC9551270 DOI: 10.3389/fcell.2022.981859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 09/12/2022] [Indexed: 11/13/2022] Open
Abstract
Single cell ATAC-seq (scATAC-seq) has become the most widely used method for profiling open chromatin landscape of heterogeneous cell populations at a single-cell resolution. Although numerous software tools and pipelines have been developed, an easy-to-use, scalable, reproducible, and comprehensive pipeline for scATAC-seq data analyses is still lacking. To fill this gap, we developed scATACpipe, a Nextflow pipeline, for performing comprehensive analyses of scATAC-seq data including extensive quality assessment, preprocessing, dimension reduction, clustering, peak calling, differential accessibility inference, integration with scRNA-seq data, transcription factor activity and footprinting analysis, co-accessibility inference, and cell trajectory prediction. scATACpipe enables users to perform the end-to-end analysis of scATAC-seq data with three sub-workflow options for preprocessing that leverage 10x Genomics Cell Ranger ATAC software, the ultra-fast Chromap procedures, and a set of custom scripts implementing current best practices for scATAC-seq data preprocessing. The pipeline extends the R package ArchR for downstream analysis with added support to any eukaryotic species with an annotated reference genome. Importantly, scATACpipe generates an all-in-one HTML report for the entire analysis and outputs cluster-specific BAM, BED, and BigWig files for visualization in a genome browser. scATACpipe eliminates the need for users to chain different tools together and facilitates reproducible and comprehensive analyses of scATAC-seq data from raw reads to various biological insights with minimal changes of configuration settings for different computing environments or species. By applying it to public datasets, we illustrated the utility, flexibility, versatility, and reliability of our pipeline, and demonstrated that our scATACpipe outperforms other workflows.
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Affiliation(s)
- Kai Hu
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Haibo Liu
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Nathan D. Lawson
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, United States
| | - Lihua Julie Zhu
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, United States
- Program in Molecular Medicine, Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, United States
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41
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Westbrook TC, Guan X, Rodansky E, Flores D, Liu CJ, Udager AM, Patel RA, Haffner MC, Hu YM, Sun D, Beer TM, Foye A, Aggarwal R, Quigley DA, Youngren JF, Ryan CJ, Gleave M, Wang Y, Huang J, Coleman I, Morrissey C, Nelson PS, Evans CP, Lara P, Reiter RE, Witte O, Rettig M, Wong CK, Weinstein AS, Uzunangelov V, Stuart JM, Thomas GV, Feng FY, Small EJ, Yates JA, Xia Z, Alumkal JJ. Transcriptional profiling of matched patient biopsies clarifies molecular determinants of enzalutamide-induced lineage plasticity. Nat Commun 2022; 13:5345. [PMID: 36109521 PMCID: PMC9477876 DOI: 10.1038/s41467-022-32701-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 08/11/2022] [Indexed: 11/08/2022] Open
Abstract
The androgen receptor (AR) signaling inhibitor enzalutamide (enza) is one of the principal treatments for metastatic castration-resistant prostate cancer (CRPC). Several emergent enza clinical resistance mechanisms have been described, including lineage plasticity in which the tumors manifest reduced dependency on the AR. To improve our understanding of enza resistance, herein we analyze the transcriptomes of matched biopsies from men with metastatic CRPC obtained prior to treatment and at progression (n = 21). RNA-sequencing analysis demonstrates that enza does not induce marked, sustained changes in the tumor transcriptome in most patients. However, three patients' progression biopsies show evidence of lineage plasticity. The transcription factor E2F1 and pathways linked to tumor stemness are highly activated in baseline biopsies from patients whose tumors undergo lineage plasticity. We find a gene signature enriched in these baseline biopsies that is strongly associated with poor survival in independent patient cohorts and with risk of castration-induced lineage plasticity in patient-derived xenograft models, suggesting that tumors harboring this gene expression program may be at particular risk for resistance mediated by lineage plasticity and poor outcomes.
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Affiliation(s)
- Thomas C Westbrook
- Division of Hematology and Oncology, Department of Internal Medicine, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Xiangnan Guan
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Eva Rodansky
- Division of Hematology and Oncology, Department of Internal Medicine, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Diana Flores
- Division of Hematology and Oncology, Department of Internal Medicine, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Chia Jen Liu
- Department of Pathology, Michigan Center for Translational Pathology, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Aaron M Udager
- Department of Pathology, Michigan Center for Translational Pathology, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Radhika A Patel
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Michael C Haffner
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ya-Mei Hu
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Duanchen Sun
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Tomasz M Beer
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Adam Foye
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Rahul Aggarwal
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - David A Quigley
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Jack F Youngren
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Charles J Ryan
- Masonic Cancer Center, University of Minnesota; Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Martin Gleave
- Department of Urological Sciences and Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada
| | - Yuzhuo Wang
- Department of Urological Sciences and Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada
- Department of Experimental Therapeutics, BC Cancer, University of British Columbia, Vancouver, BC, Canada
| | | | - Ilsa Coleman
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Colm Morrissey
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Peter S Nelson
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Primo Lara
- University of California Davis, Davis, CA, USA
| | | | - Owen Witte
- Department of Microbiology, Immunology, and Molecular Genetics at the David Geffen School of Medicine, UCLA, Los Angeles, CA, USA
| | - Matthew Rettig
- University of California Los Angeles, Los Angeles, CA, USA
- VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Christopher K Wong
- UC Santa Cruz Genomics Institute and Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Alana S Weinstein
- UC Santa Cruz Genomics Institute and Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Vlado Uzunangelov
- UC Santa Cruz Genomics Institute and Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Josh M Stuart
- UC Santa Cruz Genomics Institute and Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - George V Thomas
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Felix Y Feng
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Departments of Radiation Oncology and Urology, University of California San Francisco, San Francisco, CA, USA
| | - Eric J Small
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Joel A Yates
- Division of Hematology and Oncology, Department of Internal Medicine, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Zheng Xia
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.
| | - Joshi J Alumkal
- Division of Hematology and Oncology, Department of Internal Medicine, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA.
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42
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Gholami N, Haghparast A, Alipourfard I, Nazari M. Prostate cancer in omics era. Cancer Cell Int 2022; 22:274. [PMID: 36064406 PMCID: PMC9442907 DOI: 10.1186/s12935-022-02691-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 08/22/2022] [Indexed: 11/18/2022] Open
Abstract
Recent advances in omics technology have prompted extraordinary attempts to define the molecular changes underlying the onset and progression of a variety of complex human diseases, including cancer. Since the advent of sequencing technology, cancer biology has become increasingly reliant on the generation and integration of data generated at these levels. The availability of multi-omic data has transformed medicine and biology by enabling integrated systems-level approaches. Multivariate signatures are expected to play a role in cancer detection, screening, patient classification, assessment of treatment response, and biomarker identification. This review reports current findings and highlights a number of studies that are both novel and groundbreaking in their application of multi Omics to prostate cancer.
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Affiliation(s)
- Nasrin Gholami
- Hematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Iraj Alipourfard
- Institutitue of Biology, Biotechnology and Environmental Protection, Faculty of Natural Sciences, University of Silesia, Katowice, Poland
| | - Majid Nazari
- Department of Medical Genetics, Faculty of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
- , P.O. Box 14155-6117, Shiraz, Iran.
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Erickson A, He M, Berglund E, Marklund M, Mirzazadeh R, Schultz N, Kvastad L, Andersson A, Bergenstråhle L, Bergenstråhle J, Larsson L, Alonso Galicia L, Shamikh A, Basmaci E, Díaz De Ståhl T, Rajakumar T, Doultsinos D, Thrane K, Ji AL, Khavari PA, Tarish F, Tanoglidi A, Maaskola J, Colling R, Mirtti T, Hamdy FC, Woodcock DJ, Helleday T, Mills IG, Lamb AD, Lundeberg J. Spatially resolved clonal copy number alterations in benign and malignant tissue. Nature 2022; 608:360-367. [PMID: 35948708 PMCID: PMC9365699 DOI: 10.1038/s41586-022-05023-2] [Citation(s) in RCA: 78] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 06/23/2022] [Indexed: 12/28/2022]
Abstract
Defining the transition from benign to malignant tissue is fundamental to improving early diagnosis of cancer1. Here we use a systematic approach to study spatial genome integrity in situ and describe previously unidentified clonal relationships. We used spatially resolved transcriptomics2 to infer spatial copy number variations in >120,000 regions across multiple organs, in benign and malignant tissues. We demonstrate that genome-wide copy number variation reveals distinct clonal patterns within tumours and in nearby benign tissue using an organ-wide approach focused on the prostate. Our results suggest a model for how genomic instability arises in histologically benign tissue that may represent early events in cancer evolution. We highlight the power of capturing the molecular and spatial continuums in a tissue context and challenge the rationale for treatment paradigms, including focal therapy.
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Affiliation(s)
- Andrew Erickson
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - Mengxiao He
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Emelie Berglund
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Maja Marklund
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Reza Mirzazadeh
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Niklas Schultz
- Science for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Solna, Sweden
| | - Linda Kvastad
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Alma Andersson
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Ludvig Bergenstråhle
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Joseph Bergenstråhle
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Ludvig Larsson
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Leire Alonso Galicia
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Alia Shamikh
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Pathology and Cytology, Karolinska University Hospital, Stockholm, Sweden
| | - Elisa Basmaci
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Pathology and Cytology, Karolinska University Hospital, Stockholm, Sweden
| | - Teresita Díaz De Ståhl
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Pathology and Cytology, Karolinska University Hospital, Stockholm, Sweden
| | - Timothy Rajakumar
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | | | - Kim Thrane
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Andrew L Ji
- Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Paul A Khavari
- Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Firaz Tarish
- Science for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Solna, Sweden
| | - Anna Tanoglidi
- Department of Clinical Pathology, University Uppsala Hospital, Uppsala, Sweden
| | - Jonas Maaskola
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Richard Colling
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
- Department of Cellular Pathology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Tuomas Mirtti
- Department of Pathology, University of Helsinki & Helsinki University Hospital, Helsinki, Finland
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- iCAN-Digital Precision Cancer Medicine Flagship, Helsinki, Finland
| | - Freddie C Hamdy
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
- Department of Urology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Dan J Woodcock
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
- Big Data Institute, University of Oxford, Oxford, UK
| | - Thomas Helleday
- Science for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Solna, Sweden
- Weston Park Cancer Centre, Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Ian G Mills
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - Alastair D Lamb
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
- Department of Urology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
| | - Joakim Lundeberg
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden.
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44
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Mizuno K, Beltran H. Future directions for precision oncology in prostate cancer. Prostate 2022; 82 Suppl 1:S86-S96. [PMID: 35657153 PMCID: PMC9942493 DOI: 10.1002/pros.24354] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 03/28/2022] [Indexed: 11/06/2022]
Abstract
Clinical genomic testing is becoming routine in prostate cancer, as biomarker-driven therapies such as poly-ADP ribose polymerase (PARP) inhibitors and anti-PD1 immunotherapy are now approved for select men with castration-resistant prostate cancer harboring alterations in DNA repair genes. Challenges for precision medicine in prostate cancer include an overall low prevalence of actionable genomic alterations and a still limited understanding of the impact of tumor heterogeneity and co-occurring alterations on treatment response and outcomes across diverse patient populations. Expanded tissue-based technologies such as whole-genome sequencing, transcriptome analysis, epigenetic analysis, and single-cell RNA sequencing have not yet entered the clinical realm and could potentially improve upon our understanding of how molecular features of tumors, intratumoral heterogeneity, and the tumor microenvironment impact therapy response and resistance. Blood-based technologies including cell-free DNA, circulating tumor cells (CTCs), and extracellular vesicles (EVs) are less invasive molecular profiling resources that could also help capture intraindividual tumor heterogeneity and track dynamic changes that occur in the context of specific therapies. Furthermore, molecular imaging is an important biomarker tool within the framework of prostate cancer precision medicine with a capability to detect heterogeneity across metastases and potential therapeutic targets less invasively. Here, we review recent technological advances that may help promote the future implementation and value of precision oncology testing for patients with advanced prostate cancer.
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Affiliation(s)
- Kei Mizuno
- Department of Medical Oncology, Dana Farber Cancer Institute
| | - Himisha Beltran
- Department of Medical Oncology, Dana Farber Cancer Institute
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45
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Chen Y, Zhou Q, Hankey W, Fang X, Yuan F. Second generation androgen receptor antagonists and challenges in prostate cancer treatment. Cell Death Dis 2022; 13:632. [PMID: 35864113 PMCID: PMC9304354 DOI: 10.1038/s41419-022-05084-1] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 07/05/2022] [Accepted: 07/07/2022] [Indexed: 01/21/2023]
Abstract
Prostate cancer is a hormone-dependent malignancy, whose onset and progression are closely related to the activity of the androgen receptor (AR) signaling pathway. Due to this critical role of AR signaling in driving prostate cancer, therapy targeting the AR pathway has been the mainstay strategy for metastatic prostate cancer treatment. The utility of these agents has expanded with the emergence of second-generation AR antagonists, which began with the approval of enzalutamide in 2012 by the United States Food and Drug Administration (FDA). Together with apalutamide and darolutamide, which were approved in 2018 and 2019, respectively, these agents have improved the survival of patients with prostate cancer, with applications for both androgen-dependent and castration-resistant disease. While patients receiving these drugs receive a benefit in the form of prolonged survival, they are not cured and ultimately progress to lethal neuroendocrine prostate cancer (NEPC). Here we summarize the current state of AR antagonist development and highlight the emerging challenges of their clinical application and the potential resistance mechanisms, which might be addressed by combination therapies or the development of novel AR-targeted therapies.
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Affiliation(s)
- Yanhua Chen
- grid.412540.60000 0001 2372 7462Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, 201203 Shanghai, China
| | - Qianqian Zhou
- grid.412540.60000 0001 2372 7462Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, 201203 Shanghai, China
| | - William Hankey
- grid.10698.360000000122483208Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA
| | - Xiaosheng Fang
- grid.460018.b0000 0004 1769 9639Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 271000 Jinan, Shandong China
| | - Fuwen Yuan
- grid.412540.60000 0001 2372 7462Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, 201203 Shanghai, China
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46
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Storck WK, May AM, Westbrook TC, Duan Z, Morrissey C, Yates JA, Alumkal JJ. The Role of Epigenetic Change in Therapy-Induced Neuroendocrine Prostate Cancer Lineage Plasticity. Front Endocrinol (Lausanne) 2022; 13:926585. [PMID: 35909568 PMCID: PMC9329809 DOI: 10.3389/fendo.2022.926585] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 05/19/2022] [Indexed: 11/23/2022] Open
Abstract
The androgen receptor (AR) signaling pathway is critical for growth and differentiation of prostate cancer cells. For that reason, androgen deprivation therapy with medical or surgical castration is the principal treatment for metastatic prostate cancer. More recently, new potent AR signaling inhibitors (ARSIs) have been developed. These drugs improve survival for men with metastatic castration-resistant prostate cancer (CRPC), the lethal form of the disease. However, ARSI resistance is nearly universal. One recently appreciated resistance mechanism is lineage plasticity or switch from an AR-driven, luminal differentiation program to an alternate differentiation program. Importantly, lineage plasticity appears to be increasing in incidence in the era of new ARSIs, strongly implicating AR suppression in this process. Lineage plasticity and shift from AR-driven tumors occur on a continuum, ranging from AR-expressing tumors with low AR activity to AR-null tumors that have activation of alternate differentiation programs versus the canonical luminal program found in AR-driven tumors. In many cases, AR loss coincides with the activation of a neuronal program, most commonly exemplified as therapy-induced neuroendocrine prostate cancer (t-NEPC). While genetic events clearly contribute to prostate cancer lineage plasticity, it is also clear that epigenetic events-including chromatin modifications and DNA methylation-play a major role. Many epigenetic factors are now targetable with drugs, establishing the importance of clarifying critical epigenetic factors that promote lineage plasticity. Furthermore, epigenetic marks are readily measurable, demonstrating the importance of clarifying which measurements will help to identify tumors that have undergone or are at risk of undergoing lineage plasticity. In this review, we discuss the role of AR pathway loss and activation of a neuronal differentiation program as key contributors to t-NEPC lineage plasticity. We also discuss new epigenetic therapeutic strategies to reverse lineage plasticity, including those that have recently entered clinical trials.
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Affiliation(s)
- William K. Storck
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States
| | - Allison M. May
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States
- Department of Urology, University of Michigan, Ann Arbor, MI, United States
| | - Thomas C. Westbrook
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States
| | - Zhi Duan
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States
| | - Colm Morrissey
- Department of Urology, University of Washington, Seattle, WA, United States
| | - Joel A. Yates
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States
| | - Joshi J. Alumkal
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States
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47
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Casado-Pelaez M, Bueno-Costa A, Esteller M. Single cell cancer epigenetics. Trends Cancer 2022; 8:820-838. [PMID: 35821003 DOI: 10.1016/j.trecan.2022.06.005] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 05/02/2022] [Accepted: 06/08/2022] [Indexed: 10/17/2022]
Abstract
Bulk sequencing methodologies have allowed us to make great progress in cancer research. Unfortunately, these techniques lack the resolution to fully unravel the epigenetic mechanisms that govern tumor heterogeneity. Consequently, many novel single cell-sequencing methodologies have been developed over the past decade, allowing us to explore the epigenetic components that regulate different aspects of cancer heterogeneity, namely: clonal heterogeneity, tumor microenvironment (TME), spatial organization, intratumoral differentiation programs, metastasis, and resistance mechanisms. In this review, we explore the different sequencing techniques that enable researchers to study different aspects of epigenetics (DNA methylation, chromatin accessibility, histone modifications, DNA-protein interactions, and chromatin 3D architecture) at the single cell level, their potential applications in cancer, and their current technical limitations.
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Affiliation(s)
- Marta Casado-Pelaez
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Catalonia, Spain
| | - Alberto Bueno-Costa
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Catalonia, Spain
| | - Manel Esteller
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Catalonia, Spain; Centro de Investigacion Biomedica en Red Cancer (CIBERONC), 28029 Madrid, Spain; Institucio Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Catalonia, Spain; Physiological Sciences Department, School of Medicine and Health Sciences, University of Barcelona (UB), Barcelona, Catalonia, Spain.
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48
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Nevedomskaya E, Haendler B. From Omics to Multi-Omics Approaches for In-Depth Analysis of the Molecular Mechanisms of Prostate Cancer. Int J Mol Sci 2022; 23:6281. [PMID: 35682963 PMCID: PMC9181488 DOI: 10.3390/ijms23116281] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 05/24/2022] [Accepted: 06/01/2022] [Indexed: 02/01/2023] Open
Abstract
Cancer arises following alterations at different cellular levels, including genetic and epigenetic modifications, transcription and translation dysregulation, as well as metabolic variations. High-throughput omics technologies that allow one to identify and quantify processes involved in these changes are now available and have been instrumental in generating a wealth of steadily increasing data from patient tumors, liquid biopsies, and from tumor models. Extensive investigation and integration of these data have led to new biological insights into the origin and development of multiple cancer types and helped to unravel the molecular networks underlying this complex pathology. The comprehensive and quantitative analysis of a molecule class in a biological sample is named omics and large-scale omics studies addressing different prostate cancer stages have been performed in recent years. Prostate tumors represent the second leading cancer type and a prevalent cause of cancer death in men worldwide. It is a very heterogenous disease so that evaluating inter- and intra-tumor differences will be essential for a precise insight into disease development and plasticity, but also for the development of personalized therapies. There is ample evidence for the key role of the androgen receptor, a steroid hormone-activated transcription factor, in driving early and late stages of the disease, and this led to the development and approval of drugs addressing diverse targets along this pathway. Early genomic and transcriptomic studies have allowed one to determine the genes involved in prostate cancer and regulated by androgen signaling or other tumor-relevant signaling pathways. More recently, they have been supplemented by epigenomic, cistromic, proteomic and metabolomic analyses, thus, increasing our knowledge on the intricate mechanisms involved, the various levels of regulation and their interplay. The comprehensive investigation of these omics approaches and their integration into multi-omics analyses have led to a much deeper understanding of the molecular pathways involved in prostate cancer progression, and in response and resistance to therapies. This brings the hope that novel vulnerabilities will be identified, that existing therapies will be more beneficial by targeting the patient population likely to respond best, and that bespoke treatments with increased efficacy will be available soon.
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Affiliation(s)
| | - Bernard Haendler
- Research and Early Development, Pharmaceuticals, Bayer AG, Müllerstr. 178, 13353 Berlin, Germany;
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Resurreccion EP, Fong KW. The Integration of Metabolomics with Other Omics: Insights into Understanding Prostate Cancer. Metabolites 2022; 12:metabo12060488. [PMID: 35736421 PMCID: PMC9230859 DOI: 10.3390/metabo12060488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 05/21/2022] [Accepted: 05/24/2022] [Indexed: 02/06/2023] Open
Abstract
Our understanding of prostate cancer (PCa) has shifted from solely caused by a few genetic aberrations to a combination of complex biochemical dysregulations with the prostate metabolome at its core. The role of metabolomics in analyzing the pathophysiology of PCa is indispensable. However, to fully elucidate real-time complex dysregulation in prostate cells, an integrated approach based on metabolomics and other omics is warranted. Individually, genomics, transcriptomics, and proteomics are robust, but they are not enough to achieve a holistic view of PCa tumorigenesis. This review is the first of its kind to focus solely on the integration of metabolomics with multi-omic platforms in PCa research, including a detailed emphasis on the metabolomic profile of PCa. The authors intend to provide researchers in the field with a comprehensive knowledge base in PCa metabolomics and offer perspectives on overcoming limitations of the tool to guide future point-of-care applications.
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Affiliation(s)
- Eleazer P. Resurreccion
- Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, KY 40506, USA;
| | - Ka-wing Fong
- Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, KY 40506, USA;
- Markey Cancer Center, University of Kentucky, Lexington, KY 40506, USA
- Correspondence: ; Tel.: +1-859-562-3455
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50
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Caligola S, De Sanctis F, Canè S, Ugel S. Breaking the Immune Complexity of the Tumor Microenvironment Using Single-Cell Technologies. Front Genet 2022; 13:867880. [PMID: 35651929 PMCID: PMC9149246 DOI: 10.3389/fgene.2022.867880] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 04/27/2022] [Indexed: 12/31/2022] Open
Abstract
Tumors are not a simple aggregate of transformed cells but rather a complicated ecosystem containing various components, including infiltrating immune cells, tumor-related stromal cells, endothelial cells, soluble factors, and extracellular matrix proteins. Profiling the immune contexture of this intricate framework is now mandatory to develop more effective cancer therapies and precise immunotherapeutic approaches by identifying exact targets or predictive biomarkers, respectively. Conventional technologies are limited in reaching this goal because they lack high resolution. Recent developments in single-cell technologies, such as single-cell RNA transcriptomics, mass cytometry, and multiparameter immunofluorescence, have revolutionized the cancer immunology field, capturing the heterogeneity of tumor-infiltrating immune cells and the dynamic complexity of tenets that regulate cell networks in the tumor microenvironment. In this review, we describe some of the current single-cell technologies and computational techniques applied for immune-profiling the cancer landscape and discuss future directions of how integrating multi-omics data can guide a new "precision oncology" advancement.
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Affiliation(s)
| | | | | | - Stefano Ugel
- Immunology Section, Department of Medicine, University of Verona, Verona, Italy
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