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Qin F, Bian Z, Jiang L, Cao Y, Tang J, Ming L, Qin Y, Huang Z, Yin Y. A novel high-risk model identified by epithelial-mesenchymal transition predicts prognosis and radioresistance in rectal cancer. Mol Carcinog 2024. [PMID: 39056517 DOI: 10.1002/mc.23797] [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: 05/09/2024] [Revised: 07/03/2024] [Accepted: 07/10/2024] [Indexed: 07/28/2024]
Abstract
Many studies have shown that tumor cells that survive radiotherapy are more likely to metastasize, but the underlying mechanism remains unclear. Here we aimed to identify epithelial-mesenchymal transition (EMT)-related key genes, which associated with prognosis and radiosensitivity in rectal cancer. First, we obtained differentially expressed genes by analyzing the RNA expression profiles of rectal cancer retrieved from The Cancer Genome Atlas database, EMT-related genes, and radiotherapy-related databases, respectively. Then, Lasso and Cox regression analyses were used to establish an EMT-related prognosis model (EMTPM) based on the identified independent protective factor Fibulin5 (FBLN5) and independent risk gene EHMT2. The high-EMTPM group exhibited significantly poorer prognosis. Then, we evaluated the signature in an external clinical validation cohort. Through in vivo experiments, we further demonstrated that EMTPM effectively distinguishes radioresistant from radiosensitive patients with rectal cancer. Moreover, individuals in the high-EMTPM group showed increased expression of immune checkpoints compared to their counterparts. Finally, pan-cancer analysis of the EMTPM model also indicated its potential for predicting the prognosis of lung squamous cell carcinoma and breast cancer patients undergoing radiotherapy. In summary, we established a novel predictive model for rectal cancer prognosis and radioresistance based on FBLN5 and EHMT2 expressions, and suggested that immune microenvironment may be involved in the process of radioresistance. This predictive model could be used to select management strategies for rectal cancer.
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Affiliation(s)
- Feiyu Qin
- Wuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China
- Laboratory of Cancer Epigenetics, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Zehua Bian
- Wuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China
- Laboratory of Cancer Epigenetics, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Lingzhen Jiang
- Wuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China
- Laboratory of Cancer Epigenetics, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Yulin Cao
- Wuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China
- Laboratory of Cancer Epigenetics, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Junhui Tang
- Wuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China
- Laboratory of Cancer Epigenetics, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Liang Ming
- Wuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China
- Laboratory of Cancer Epigenetics, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Yan Qin
- Department of Pathology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Zhaohui Huang
- Wuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China
- Laboratory of Cancer Epigenetics, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Yuan Yin
- Wuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China
- Laboratory of Cancer Epigenetics, Wuxi School of Medicine, Jiangnan University, Wuxi, China
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Qin M, Deng C, Wen L, Luo G, Meng Y. CRISPR-Cas and CRISPR-based screening system for precise gene editing and targeted cancer therapy. J Transl Med 2024; 22:516. [PMID: 38816739 PMCID: PMC11138051 DOI: 10.1186/s12967-024-05235-2] [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: 01/03/2024] [Accepted: 04/24/2024] [Indexed: 06/01/2024] Open
Abstract
Target cancer therapy has been developed for clinical cancer treatment based on the discovery of CRISPR (clustered regularly interspaced short palindromic repeat) -Cas system. This forefront and cutting-edge scientific technique improves the cancer research into molecular level and is currently widely utilized in genetic investigation and clinical precision cancer therapy. In this review, we summarized the genetic modification by CRISPR/Cas and CRISPR screening system, discussed key components for successful CRISPR screening, including Cas enzymes, guide RNA (gRNA) libraries, target cells or organs. Furthermore, we focused on the application for CAR-T cell therapy, drug target, drug screening, or drug selection in both ex vivo and in vivo with CRISPR screening system. In addition, we elucidated the advantages and potential obstacles of CRISPR system in precision clinical medicine and described the prospects for future genetic therapy.In summary, we provide a comprehensive and practical perspective on the development of CRISPR/Cas and CRISPR screening system for the treatment of cancer defects, aiming to further improve the precision and accuracy for clinical treatment and individualized gene therapy.
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Affiliation(s)
- Mingming Qin
- Reproductive Medical Center, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Women and Children Hospital), Foshan, Guangdong, 528000, China
- Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, 510515, China
| | - Chunhao Deng
- Chinese Medicine and Translational Medicine R&D center, Zhuhai UM Science & Technology Research Institute, Zhuhai, Guangdong, 519031, China
| | - Liewei Wen
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai People's Hospital, Zhuhai Clinical Medical College of Jinan University, Zhuhai, Guangdong, 519000, China
| | - Guoqun Luo
- Reproductive Medical Center, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Women and Children Hospital), Foshan, Guangdong, 528000, China.
| | - Ya Meng
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai People's Hospital, Zhuhai Clinical Medical College of Jinan University, Zhuhai, Guangdong, 519000, China.
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Quintero-Ruiz N, Oliveira WDL, Esteca MV, Granato DC, Simabuco FM. Uncovering the bookshelves of CRISPR-based libraries: Advances and applications in cancer studies. Crit Rev Oncol Hematol 2024; 196:104287. [PMID: 38342473 DOI: 10.1016/j.critrevonc.2024.104287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 02/02/2024] [Accepted: 02/02/2024] [Indexed: 02/13/2024] Open
Abstract
The advent of CRISPR/Cas9 technology has revolutionized the genome editing field. CRISPR-based libraries have become powerful tools for high-throughput functional genomics and genetic screening. CRISPR-based libraries can represent a powerful approach to uncovering genes related to chemoresistance and therapy efficacy and to studying cancer cells' fitness. In this review, we conducted an extensive literature search and summarized multiple studies that utilized these libraries in both in vitro and in vivo research, emphasizing their key findings. We provide an overview of the design, construction, and applications of CRISPR-based libraries in different cancer-focused studies and discuss the different types of CRISPR-based libraries. We finally point out the challenges associated with library design, including guide RNA selection, off-target effects, and library complexity. This review provides an overview of the work conducted with CRISPR libraries in the search for new targets that could potentially assist in cancer therapy by contributing to functional approaches.
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Affiliation(s)
- Nathalia Quintero-Ruiz
- Multidisciplinary Laboratory of Food and Health (LabMAS), School of Applied Sciences (FCA), University of Campinas (UNICAMP), Limeira, SP 13484-350, Brazil
| | - Wesley de Lima Oliveira
- Multidisciplinary Laboratory of Food and Health (LabMAS), School of Applied Sciences (FCA), University of Campinas (UNICAMP), Limeira, SP 13484-350, Brazil; Laboratório Nacional de Biociências (LNBio), Centro Nacional de Pesquisa Em Energia e Materiais (CNPEM), Campinas, São Paulo, Brazil
| | - Marcos Vinicius Esteca
- Multidisciplinary Laboratory of Food and Health (LabMAS), School of Applied Sciences (FCA), University of Campinas (UNICAMP), Limeira, SP 13484-350, Brazil
| | - Daniela Campos Granato
- Laboratório Nacional de Biociências (LNBio), Centro Nacional de Pesquisa Em Energia e Materiais (CNPEM), Campinas, São Paulo, Brazil
| | - Fernando Moreira Simabuco
- Multidisciplinary Laboratory of Food and Health (LabMAS), School of Applied Sciences (FCA), University of Campinas (UNICAMP), Limeira, SP 13484-350, Brazil; Department of Biochemistry, Federal University of São Paulo, São Paulo, SP 04044-020, Brazil.
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Wu SX, Zeng QF, Han WT, Wang MY, Ding H, Teng MX, Wang MY, Li PY, Gao X, Bao ZM, Wang B, Hu JJ. Deciphering the population structure and genetic basis of growth traits from whole-genome resequencing of the leopard coral grouper ( Plectropomus leopardus). Zool Res 2024; 45:329-340. [PMID: 38485503 PMCID: PMC11017084 DOI: 10.24272/j.issn.2095-8137.2023.270] [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: 08/25/2023] [Accepted: 10/10/2023] [Indexed: 03/19/2024] Open
Abstract
The leopard coral grouper ( Plectropomus leopardus) is a species of significant economic importance. Although artificial cultivation of P. leopardus has thrived in recent decades, the advancement of selective breeding has been hindered by the lack of comprehensive population genomic data. In this study, we identified over 8.73 million single nucleotide polymorphisms (SNPs) through whole-genome resequencing of 326 individuals spanning six distinct groups. Furthermore, we categorized 226 individuals with high-coverage sequencing depth (≥14×) into eight clusters based on their genetic profiles and phylogenetic relationships. Notably, four of these clusters exhibited pronounced genetic differentiation compared with the other populations. To identify potentially advantageous loci for P. leopardus, we examined genomic regions exhibiting selective sweeps by analyzing the nucleotide diversity ( θπ) and fixation index ( F ST) in these four clusters. Using these high-coverage resequencing data, we successfully constructed the first haplotype reference panel specific to P. leopardus. This achievement holds promise for enabling high-quality, cost-effective imputation methods. Additionally, we combined low-coverage sequencing data with imputation techniques for a genome-wide association study, aiming to identify candidate SNP loci and genes associated with growth traits. A significant concentration of these genes was observed on chromosome 17, which is primarily involved in skeletal muscle and embryonic development and cell proliferation. Notably, our detailed investigation of growth-related SNPs across the eight clusters revealed that cluster 5 harbored the most promising candidate SNPs, showing potential for genetic selective breeding efforts. These findings provide a robust toolkit and valuable insights into the management of germplasm resources and genome-driven breeding initiatives targeting P. leopardus.
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Affiliation(s)
- Shao-Xuan Wu
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
| | - Qi-Fan Zeng
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
- Hainan Seed Industry Laboratory, Sanya, Hainan 572025, China
| | - Wen-Tao Han
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
| | - Meng-Ya Wang
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
| | - Hui Ding
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
| | - Ming-Xuan Teng
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
| | - Ming-Yi Wang
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
| | - Pei-Yu Li
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
| | - Xin Gao
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
| | - Zhen-Min Bao
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
- Hainan Seed Industry Laboratory, Sanya, Hainan 572025, China
- Southern Marine Science and Engineer Guangdong Laboratory, Guangzhou, Guangdong 511458, China
| | - Bo Wang
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
- Hainan Seed Industry Laboratory, Sanya, Hainan 572025, China. E-mail:
| | - Jing-Jie Hu
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences/Key Laboratory of Tropical Aquatic Germplasm of Hainan Province, Sanya Oceanographic Institution, Ocean University of China, Qingdao, Shandong/Sanya, Hainan 266100/572025, China
- Hainan Seed Industry Laboratory, Sanya, Hainan 572025, China
- Southern Marine Science and Engineer Guangdong Laboratory, Guangzhou, Guangdong 511458, China. E-mail:
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Du M, Jiang Z, Wang C, Wei C, Li Q, Cong R, Wang W, Zhang G, Li L. Genome-Wide Association Analysis of Heat Tolerance in F 2 Progeny from the Hybridization between Two Congeneric Oyster Species. Int J Mol Sci 2023; 25:125. [PMID: 38203295 PMCID: PMC10778899 DOI: 10.3390/ijms25010125] [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: 11/23/2023] [Revised: 12/13/2023] [Accepted: 12/17/2023] [Indexed: 01/12/2024] Open
Abstract
As the world's largest farmed marine animal, oysters have enormous economic and ecological value. However, mass summer mortality caused by high temperature poses a significant threat to the oyster industry. To investigate the molecular mechanisms underlying heat adaptation and improve the heat tolerance ability in the oyster, we conducted genome-wide association analysis (GWAS) analysis on the F2 generation derived from the hybridization of relatively heat-tolerant Crassostrea angulata ♀ and heat-sensitive Crassostrea gigas ♂, which are the dominant cultured species in southern and northern China, respectively. Acute heat stress experiment (semi-lethal temperature 42 °C) demonstrated that the F2 population showed differentiation in heat tolerance, leading to extremely differentiated individuals (approximately 20% of individuals die within the first four days with 10% survival after 14 days). Genome resequencing and GWAS of the two divergent groups had identified 18 significant SNPs associated with heat tolerance, with 26 candidate genes located near these SNPs. Eleven candidate genes that may associate with the thermal resistance were identified, which were classified into five categories: temperature sensor (Trpm2), transcriptional factor (Gata3), protein ubiquitination (Ube2h, Usp50, Uchl3), heat shock subfamily (Dnajc17, Dnaja1), and transporters (Slc16a9, Slc16a14, Slc16a9, Slc16a2). The expressional differentiation of the above genes between C. gigas and C. angulata under sublethal temperature (37 °C) further supports their crucial role in coping with high temperature. Our results will contribute to understanding the molecular mechanisms underlying heat tolerance, and provide genetic markers for heat-resistance breeding in the oyster industry.
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Affiliation(s)
- Mingyang Du
- CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; (M.D.); (Z.J.); (C.W.); (C.W.); (Q.L.); (R.C.); (W.W.); (G.Z.)
- Laboratory for Marine Biology and Biotechnology, Laoshan Laboratory, Qingdao 266100, China
- University of Chinese Academy of Sciences, Beijing 101408, China
| | - Zhuxiang Jiang
- CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; (M.D.); (Z.J.); (C.W.); (C.W.); (Q.L.); (R.C.); (W.W.); (G.Z.)
- Laboratory for Marine Biology and Biotechnology, Laoshan Laboratory, Qingdao 266100, China
- University of Chinese Academy of Sciences, Beijing 101408, China
| | - Chaogang Wang
- CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; (M.D.); (Z.J.); (C.W.); (C.W.); (Q.L.); (R.C.); (W.W.); (G.Z.)
- Laboratory for Marine Biology and Biotechnology, Laoshan Laboratory, Qingdao 266100, China
- University of Chinese Academy of Sciences, Beijing 101408, China
| | - Chenchen Wei
- CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; (M.D.); (Z.J.); (C.W.); (C.W.); (Q.L.); (R.C.); (W.W.); (G.Z.)
- Laboratory for Marine Biology and Biotechnology, Laoshan Laboratory, Qingdao 266100, China
| | - Qingyuan Li
- CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; (M.D.); (Z.J.); (C.W.); (C.W.); (Q.L.); (R.C.); (W.W.); (G.Z.)
- Laboratory for Marine Biology and Biotechnology, Laoshan Laboratory, Qingdao 266100, China
- University of Chinese Academy of Sciences, Beijing 101408, China
| | - Rihao Cong
- CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; (M.D.); (Z.J.); (C.W.); (C.W.); (Q.L.); (R.C.); (W.W.); (G.Z.)
- Laboratory for Marine Biology and Biotechnology, Laoshan Laboratory, Qingdao 266100, China
- National and Local Joint Engineering Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
| | - Wei Wang
- CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; (M.D.); (Z.J.); (C.W.); (C.W.); (Q.L.); (R.C.); (W.W.); (G.Z.)
- National and Local Joint Engineering Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao 266100, China
| | - Guofan Zhang
- CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; (M.D.); (Z.J.); (C.W.); (C.W.); (Q.L.); (R.C.); (W.W.); (G.Z.)
- Laboratory for Marine Biology and Biotechnology, Laoshan Laboratory, Qingdao 266100, China
- National and Local Joint Engineering Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Institute of Hydrobiology, Wuhan 430072, China
| | - Li Li
- CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; (M.D.); (Z.J.); (C.W.); (C.W.); (Q.L.); (R.C.); (W.W.); (G.Z.)
- University of Chinese Academy of Sciences, Beijing 101408, China
- National and Local Joint Engineering Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Laoshan Laboratory, Qingdao 266100, China
- Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Institute of Hydrobiology, Wuhan 430072, China
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