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Aparicio B, Theunissen P, Hervas-Stubbs S, Fortes P, Sarobe P. Relevance of mutation-derived neoantigens and non-classical antigens for anticancer therapies. Hum Vaccin Immunother 2024; 20:2303799. [PMID: 38346926 PMCID: PMC10863374 DOI: 10.1080/21645515.2024.2303799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 01/06/2024] [Indexed: 02/15/2024] Open
Abstract
Efficacy of cancer immunotherapies relies on correct recognition of tumor antigens by lymphocytes, eliciting thus functional responses capable of eliminating tumor cells. Therefore, important efforts have been carried out in antigen identification, with the aim of understanding mechanisms of response to immunotherapy and to design safer and more efficient strategies. In addition to classical tumor-associated antigens identified during the last decades, implementation of next-generation sequencing methodologies is enabling the identification of neoantigens (neoAgs) arising from mutations, leading to the development of new neoAg-directed therapies. Moreover, there are numerous non-classical tumor antigens originated from other sources and identified by new methodologies. Here, we review the relevance of neoAgs in different immunotherapies and the results obtained by applying neoAg-based strategies. In addition, the different types of non-classical tumor antigens and the best approaches for their identification are described. This will help to increase the spectrum of targetable molecules useful in cancer immunotherapies.
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Affiliation(s)
- Belen Aparicio
- Program of Immunology and Immunotherapy, Center for Applied Medical Research (CIMA) University of Navarra, Pamplona, Spain
- Cancer Center Clinica Universidad de Navarra (CCUN), Pamplona, Spain
- Navarra Institute for Health Research (IDISNA), Pamplona, Spain
- CIBERehd, Pamplona, Spain
| | - Patrick Theunissen
- Cancer Center Clinica Universidad de Navarra (CCUN), Pamplona, Spain
- Navarra Institute for Health Research (IDISNA), Pamplona, Spain
- CIBERehd, Pamplona, Spain
- DNA and RNA Medicine Division, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain
| | - Sandra Hervas-Stubbs
- Program of Immunology and Immunotherapy, Center for Applied Medical Research (CIMA) University of Navarra, Pamplona, Spain
- Cancer Center Clinica Universidad de Navarra (CCUN), Pamplona, Spain
- Navarra Institute for Health Research (IDISNA), Pamplona, Spain
- CIBERehd, Pamplona, Spain
| | - Puri Fortes
- Cancer Center Clinica Universidad de Navarra (CCUN), Pamplona, Spain
- Navarra Institute for Health Research (IDISNA), Pamplona, Spain
- CIBERehd, Pamplona, Spain
- DNA and RNA Medicine Division, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain
- Spanish Network for Advanced Therapies (TERAV ISCIII), Spain
| | - Pablo Sarobe
- Program of Immunology and Immunotherapy, Center for Applied Medical Research (CIMA) University of Navarra, Pamplona, Spain
- Cancer Center Clinica Universidad de Navarra (CCUN), Pamplona, Spain
- Navarra Institute for Health Research (IDISNA), Pamplona, Spain
- CIBERehd, Pamplona, Spain
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Santiago-Sánchez GS, Fabian KP, Hodge JW. A landscape of checkpoint blockade resistance in cancer: underlying mechanisms and current strategies to overcome resistance. Cancer Biol Ther 2024; 25:2308097. [PMID: 38306161 PMCID: PMC10841019 DOI: 10.1080/15384047.2024.2308097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 01/17/2024] [Indexed: 02/03/2024] Open
Abstract
The discovery of immune checkpoints and the development of immune checkpoint inhibitors (ICI) have achieved a durable response in advanced-stage cancer patients. However, there is still a high proportion of patients who do not benefit from ICI therapy due to a lack of response when first treated (primary resistance) or detection of disease progression months after objective response is observed (acquired resistance). Here, we review the current FDA-approved ICI for the treatment of certain solid malignancies, evaluate the contrasting responses to checkpoint blockade in different cancer types, explore the known mechanisms associated with checkpoint blockade resistance (CBR), and assess current strategies in the field that seek to overcome these mechanisms. In order to improve current therapies and develop new ones, the immunotherapy field still has an unmet need in identifying other molecules that act as immune checkpoints, and uncovering other mechanisms that promote CBR.
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Affiliation(s)
- Ginette S. Santiago-Sánchez
- Center for Immuno-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kellsye P. Fabian
- Center for Immuno-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - James W. Hodge
- Center for Immuno-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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Jin T, Yin T, Xu R, Liu H, Yuan S, Xue Y, Zhang J, Wang H. Exploring the role of disulfidptosis-related signatures in immune microenvironment, prognosis and therapeutic strategies of cervical cancer. Transl Oncol 2024; 44:101938. [PMID: 38492499 PMCID: PMC10955422 DOI: 10.1016/j.tranon.2024.101938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 02/29/2024] [Accepted: 03/07/2024] [Indexed: 03/18/2024] Open
Abstract
BACKGROUND Cervical cancer is characterized by a complex immunosuppressive tumor microenvironment (TME). Disulfidptosis is a recently identified form of programmed cell death that has emerged as a crucial factor in tumorigenesis. However, the research on the specific involvement of disulfidptosis within the TME is still in its early stages. METHODS Under glucose starvation, SiHa and HeLa cells underwent experiments employing diverse cell death inhibitors and SLC7A11 knockdown to observe their impact on cell survival. TCGA-CESC cohort was subjected to consensus clustering for disulfidptosis-related clusters. Prognosis, function, immune infiltration, and differentially expressed genes (DEGs) evaluations among clusters were compared. A prognostic model based on DEGs and disulfidptosis regulator genes (DRGs) was constructed and internally and externally validated. The correlation between YWHAG and clinicopathological characteristics in cervical cancer patients was investigated at both the mRNA and protein levels. Proliferation and migration assays were performed to uncover the roles of YWHAG in cervical cancer. RESULTS Experimental validation confirmed disulfidptosis in cervical cancer cell lines. Cervical cancer patients were classified into three clusters based on DRGs, showing notably improved prognosis and increased immune infiltration in cluster B. The developed disulfidptosis-related prognostic model effectively stratified patients into high- and low-risk groups. Low-risk patients exhibited more favorable responses to immunotherapy and improved overall prognosis. Additionally, YWHAG, recognized as a tumor-promoting gene, demonstrated active roles in enhancing the growth, migration, and invasion of cervical cancer cells. CONCLUSION Our research proposed a prognostic model for cervical cancer, probably contributing to tumor microenvironment traits and more potent immunotherapy strategy exploration.
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Affiliation(s)
- Tianzhe Jin
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China
| | - Taotao Yin
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China
| | - Ruiyi Xu
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China
| | - Hong Liu
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China
| | - Shuo Yuan
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China
| | - Yite Xue
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China
| | - Jianwei Zhang
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China.
| | - Hui Wang
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China; Department of Gynecologic Oncology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China.
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Wu Z, Liu X, Xie F, Ma C, Lam EWF, Kang N, Jin D, Yan J, Jin B. Comprehensive pan-cancer analysis identifies the RNA-binding protein LRPPRC as a novel prognostic and immune biomarker. Life Sci 2024; 343:122527. [PMID: 38417544 DOI: 10.1016/j.lfs.2024.122527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 01/25/2024] [Accepted: 02/21/2024] [Indexed: 03/01/2024]
Abstract
AIMS RNA-binding proteins (RBPs) play pivotal roles in carcinogenesis and immunotherapy. Leucine-rich pentapeptide repeat-containing protein (LRPPRC) is crucial for RNA polyadenylation, transport, and stability. Although recent studies have suggested LRPPRC's potential role in tumor progression, its significance in tumor prognosis, diagnosis, and immunology remains unclear. MAIN METHODS We comprehensively analyzed LRPPRC expression in tumors using various databases, including Human Transcriptome Cell Atlas (HTCA), University of California Santa Cruz (UCSC), Human Protein Atlas (HPA), Sangerbox, TISIDB, GeneMANIA, GSCALite, and CellMiner. We examined the correlation between LRPPRC expression level and prognosis, immune infiltration, immunotherapy, methylation, biological function, and drug sensitivity. Single-cell analysis was performed using Tumor Immune Single Cell Hub (TISCH) and CancerSEA software. Patients with acute myeloid leukemia (AML) were categorized based on LRPPRC levels for functional and immune infiltration analyses. The role of LRPPRC in cancer was validated using in vitro experiments. KEY FINDINGS Our findings revealed that LRPPRC was highly expressed in almost all cancer types, indicating its significant prognostic and diagnostic potential. Notably, LRPPRC was associated with diverse immune features, such as immune cell infiltration, immune checkpoint genes, tumor mutational burden, and microsatellite instability, suggesting its value in guiding immunotherapy strategies. Within AML, the high-expression group had lower levels of immune cells, including CD8+ T cells. In vitro experiments confirmed the inhibitory effects of LRPPRC knockdown on AML cell proliferation. SIGNIFICANCE This study highlights LRPPRC as a reliable pan-cancer prognostic and immune biomarker, particularly in AML. It lays the groundwork for future research on LRPPRC-targeted cancer therapies.
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Affiliation(s)
- Zheng Wu
- Institute of Cancer Stem Cell, Liaoning Key Laboratory of Nucleic Acid Biology, Dalian Medical University, Dalian 116044, Liaoning, China; Department of Hematology, Liaoning Key Laboratory of Hematopoietic Stem Cell Transplantation and Translational Medicine, Liaoning Medical Center for Hematopoietic Stem Cell Transplantation, Dalian Key Laboratory of Hematology, Diamond Bay Institute of Hematology, The Second Hospital of Dalian Medical University, Dalian 116027, Liaoning, China
| | - Xinyue Liu
- Institute of Cancer Stem Cell, Liaoning Key Laboratory of Nucleic Acid Biology, Dalian Medical University, Dalian 116044, Liaoning, China
| | - Fang Xie
- Department of Hematology, Liaoning Key Laboratory of Hematopoietic Stem Cell Transplantation and Translational Medicine, Liaoning Medical Center for Hematopoietic Stem Cell Transplantation, Dalian Key Laboratory of Hematology, Diamond Bay Institute of Hematology, The Second Hospital of Dalian Medical University, Dalian 116027, Liaoning, China
| | - Chao Ma
- Institute of Cancer Stem Cell, Liaoning Key Laboratory of Nucleic Acid Biology, Dalian Medical University, Dalian 116044, Liaoning, China
| | - Eric W-F Lam
- Department of Surgery and Cancer, Imperial College London, London W12 0NN, UK
| | - Ning Kang
- Institute of Cancer Stem Cell, Liaoning Key Laboratory of Nucleic Acid Biology, Dalian Medical University, Dalian 116044, Liaoning, China
| | - Di Jin
- Institute of Cancer Stem Cell, Liaoning Key Laboratory of Nucleic Acid Biology, Dalian Medical University, Dalian 116044, Liaoning, China.
| | - Jinsong Yan
- Department of Hematology, Liaoning Key Laboratory of Hematopoietic Stem Cell Transplantation and Translational Medicine, Liaoning Medical Center for Hematopoietic Stem Cell Transplantation, Dalian Key Laboratory of Hematology, Diamond Bay Institute of Hematology, The Second Hospital of Dalian Medical University, Dalian 116027, Liaoning, China.
| | - Bilian Jin
- Institute of Cancer Stem Cell, Liaoning Key Laboratory of Nucleic Acid Biology, Dalian Medical University, Dalian 116044, Liaoning, China.
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Wang L, Chu X, Yu X, Su C. Identification of nomogram associated with durable clinical benefit gene for advanced non-small cell lung cancer with sensitivity to responsive to immunotherapy. Heliyon 2024; 10:e27801. [PMID: 38560208 PMCID: PMC10981036 DOI: 10.1016/j.heliyon.2024.e27801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 02/19/2024] [Accepted: 03/06/2024] [Indexed: 04/04/2024] Open
Abstract
Background Immunotherapy has become the standard treatment for advanced non-small cell lung cancer (NSCLC). However, a subset of the most advanced NSCLC patients fails to respond adequately to Immune checkpoint inhibitors (ICIs). Developing new nomograms and integrating prognostic factors are crucial for improving the clinical predictability of NSCLC patients undergoing ICIs. Methods Clinical information and genomic data of NSCLC patients undergoing ICIs were retrieved from cBioPortal. Gene alterations associated with durable clinical benefit (DCB) were compared to those linked to no durable benefit (NDB). The Kaplan-Meier plot method was employed for survival analysis, and a novel nomogram was formulated by selecting pertinent clinical variables. Results For the NSCLC patients receiving immunotherapy, three subgroups were identified based on the treatment regimen, including anti-PD-1 monotherapy, anti-PD-1 combination with anti-CTLA-4, and first-line treatment. The mutation status of TP53, PGR, PTPRT, RELN, MUC19, LRP1B, and FAT3 was found to be associated with progression-free survival (PFS). Using the clinicopathological parameters and genomic data of the patients, we developed three novel nomograms to predict the prognosis of ICI treatment in different subgroups. Conclusion Our study revealed that PGR, PTPRD, RELN, MUC19, LRP1B, and FAT3 mutation could serve as predictive biomarkers. Our systematic nomograms demonstrate significant potential in predicting the prognosis for NSCLC patients with sensitivity to different ICI treatment strategies.
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Affiliation(s)
- Li Wang
- Department of Medical Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200433, PR China
| | - Xiangling Chu
- Department of Medical Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200433, PR China
| | - Xin Yu
- Department of Medical Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200433, PR China
| | - Chunxia Su
- Department of Medical Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200433, PR China
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Sun X, Song H, Sun X, Liao C, Wang G, Xu Y, Li L, Han Y, Xu C, Wang W, Cai S, Liang H, Yu H. A 15-Inflammation-Related Gene Signature Predicts the Prognosis of Patients With Pancreatic Ductal Adenocarcinoma. Cancer Invest 2024:1-17. [PMID: 38616304 DOI: 10.1080/07357907.2024.2340577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 04/03/2024] [Indexed: 04/16/2024]
Abstract
Chronic inflammation promotes the development of pancreatic ductal adenocarcinoma (PDAC) and PDAC-related inflammatory tumor microenvironment facilitates tumor growth and metastasis. Thus, we aimed to study the association between inflammatory response and prognosis in patients with PDAC. We conducted the whole transcriptomic sequencing using tissue samples collected from patients diagnosed with PDAC (n = 106) recruited from Shandong Cancer Hospital. We first constructed a prognostic signature using 15 inflammation-related genes in The Cancer Genome Atlas (TCGA) cohort (n = 177) and further validated it in an independent International Cancer Genome Consortium (ICGC) cohort (n = 90) and our in-house cohort. PDAC patients with a higher risk score had poorer overall survival (OS) (P < 0.001; HR, 3.02; 95% CI, 1.94-4.70). The association between the prognostic signature and OS remained significant in the multivariable Cox regression adjusting for age, sex, alcohol exposure, diabetes, and stage (P < 0.001; HR, 2.91; 95% CI, 1.73-4.89). This gene signature also robustly predicted prognosis in the ICGC cohort (P = 0.01; HR, 1.94; 95% CI, 1.14-3.30) and our cohort (P < 0.001; HR, 2.40; 95% CI, 1.45-3.97). Immune subtype C3 (inflammatory) was enriched and CD8+ T cells were higher in patients with a lower risk score (P < 0.05). Furthermore, PDAC patients with higher risk scores were more sensitive to chemotherapy, immunotherapy, and PARP inhibitors (P < 0.05). In sum, we identified a novel gene signature that was associated with inflammatory response for risk stratification, prognosis prediction, and therapy guidance in PDAC patients. Future studies are warranted to validate the clinical utility of the signature.
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Affiliation(s)
| | - Hao Song
- The Third Affiliated Hospital of Naval Military Medical University, Shanghai, P. R. China
| | - Xiaoran Sun
- Burning Rock Biotech, Guangzhou, P. R. China
| | | | | | - Yu Xu
- Burning Rock Biotech, Guangzhou, P. R. China
| | - Leo Li
- Burning Rock Biotech, Guangzhou, P. R. China
| | - Yusheng Han
- Burning Rock Biotech, Guangzhou, P. R. China
| | - Chunwei Xu
- Institute of Basic Medicine and Cancer, Chinese Academy of Sciences, Hangzhou, P. R. China
| | - Wenxian Wang
- The Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, P. R. China
| | - Shangli Cai
- Burning Rock Biotech, Guangzhou, P. R. China
| | - Hua Liang
- Qingdao Central Hospital, Qingdao, P. R. China
| | - Hao Yu
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, P. R. China
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Yang K, Ma Y, Chen W, Liu L, Yang Z, He C, Zheng N, Liu X, Cheng X, Song J, Chen Y, Qiao H, Zhang R. CCDC58 is a potential biomarker for diagnosis, prognosis, immunity, and genomic heterogeneity in pan-cancer. Sci Rep 2024; 14:8575. [PMID: 38609450 PMCID: PMC11014850 DOI: 10.1038/s41598-024-59154-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 04/08/2024] [Indexed: 04/14/2024] Open
Abstract
Coiled-coil domain-containing 58 (CCDC58) is a member of the CCDC protein family. Similar to other members, CCDC58 exhibits potential tumorigenic roles in a variety of malignancies. However, there is no systematic and comprehensive pan-cancer analysis to investigate the diagnosis, prognosis, immune infiltration, and other related functions of CCDC58. We used several online websites and databases, such as TCGA, GTEx, UALCAN, HPA, CancerSEA, BioGRID, GEPIA 2.0, TIMER 2.0, and TISIDB, to extract CCDC58 expression data and clinical data of patients in pan-cancer. Then, the relationship between CCDC58 expression and diagnosis, prognosis, genetic alterations, DNA methylation, genomic heterogeneity, and immune infiltration level were determined. In addition, the biological function of CCDC58 in liver hepatocellular carcinoma (LIHC) was investigated. Pan-cancer analysis results showed that CCDC58 was differentially expressed in most tumors and showed excellent performance in diagnosis and prediction of prognosis. The expression of CCDC58 was highly correlated with genetic alterations, DNA methylation, and genomic heterogeneity in some tumors. In addition, the correlation analysis of CCDC58 with the level of immune infiltration and immune checkpoint marker genes indicated that CCDC58 might affect the composition of the tumor immune microenvironment. Enrichment analysis showed that CCDC58-related genes were mainly linked to mitosis, chromosome, and cell cycle. Finally, biological function experiments demonstrated that CCDC58 plays an important role in tumor cell proliferation and migration. CCDC58 was first identified as a pan-cancer biomarker. It may be used as a potential therapeutic target to improve the prognosis of patients in the future.
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Affiliation(s)
- Kai Yang
- Department of Hepatobiliary Surgery, Xi Jing Hospital, Air Force Medical University, Xi'an, 710032, China
| | - Yan Ma
- Department of Gynecology and Obstetrics, Xi Jing Hospital, Air Force Medical University, Xi'an, 710032, China
| | - Weigang Chen
- Department of Hepatobiliary Surgery, Xi Jing Hospital, Air Force Medical University, Xi'an, 710032, China
| | - Lu Liu
- College of Life Sciences, Northwest University, Xi'an, 710000, China
| | - Zelong Yang
- Department of Hepatobiliary Surgery, Xi Jing Hospital, Air Force Medical University, Xi'an, 710032, China
| | - Chaokui He
- Department of Oncology, The First Affiliated Hospital of Shanxi Medical University, Taiyuan, 030000, China
| | - Nanbei Zheng
- Department of General Surgery, The First Affiliated Hospital of Jiamusi University, Jiamusi, 154002, China
| | - Xinyu Liu
- Department of Hepatobiliary Surgery, Xi Jing Hospital, Air Force Medical University, Xi'an, 710032, China
| | - Xin Cheng
- Department of Hepatobiliary Surgery, Xi Jing Hospital, Air Force Medical University, Xi'an, 710032, China
| | - Junbo Song
- Department of Hepatobiliary Surgery, Xi Jing Hospital, Air Force Medical University, Xi'an, 710032, China
| | - Yong Chen
- Department of Hepatobiliary Surgery, Xi Jing Hospital, Air Force Medical University, Xi'an, 710032, China.
| | - Hongyu Qiao
- Department of Pediatrics, Xi Jing Hospital, Air Force Medical University, Xi'an, 710032, China.
| | - Ruohan Zhang
- Department of Hepatobiliary Surgery, Xi Jing Hospital, Air Force Medical University, Xi'an, 710032, China.
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Marques A, Cavaco P, Torre C, Sepodes B, Rocha J. Tumor mutational burden in colorectal cancer: Implications for treatment. Crit Rev Oncol Hematol 2024; 197:104342. [PMID: 38614266 DOI: 10.1016/j.critrevonc.2024.104342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 03/27/2024] [Accepted: 03/29/2024] [Indexed: 04/15/2024] Open
Abstract
Although immune checkpoint inhibitors have revolutionized the treatment of several advanced solid cancers, in colorectal cancer, the transformative benefit of these innovative medicines is currently limited to those with deficient mismatch repair or high microsatellite instability. Tumor mutational burden (TMB) has emerged as a potential predictor of immunotherapy benefit, but the lack of standardization in its assessment and reporting has hindered the introduction of this biomarker in routine clinical practice. Here, we compiled 45 colorectal cancer studies utilizing numerical thresholds for high-TMB. In this group of studies, TMB cut-offs ranged from 6.88 to 41 mut/Mb and were most often set at 10, 17, or 20 mut/Mb. Additionally, we observed divergent TMB definitions and inconsistent disclosure of specific methodological details, which collectively emphasize the substantial lack of harmonization within the field. Ongoing efforts to harmonize TMB assessment will be critical to validate TMB as a predictive marker of immunotherapy response.
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Affiliation(s)
- Adriana Marques
- Research Institute for Medicines (iMed.ULisboa), Lisboa 1649-003, Portugal; Faculdade de Farmácia, Universidade de Lisboa, Lisboa 1649-003, Portugal
| | - Patrícia Cavaco
- Research Institute for Medicines (iMed.ULisboa), Lisboa 1649-003, Portugal; Faculdade de Farmácia, Universidade de Lisboa, Lisboa 1649-003, Portugal; Pharmacy Department, Centro Hospitalar de Lisboa Ocidental, Lisboa 1449-005, Portugal
| | - Carla Torre
- Research Institute for Medicines (iMed.ULisboa), Lisboa 1649-003, Portugal; Faculdade de Farmácia, Universidade de Lisboa, Lisboa 1649-003, Portugal
| | - Bruno Sepodes
- Research Institute for Medicines (iMed.ULisboa), Lisboa 1649-003, Portugal; Faculdade de Farmácia, Universidade de Lisboa, Lisboa 1649-003, Portugal
| | - João Rocha
- Research Institute for Medicines (iMed.ULisboa), Lisboa 1649-003, Portugal; Faculdade de Farmácia, Universidade de Lisboa, Lisboa 1649-003, Portugal.
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Liao Z, Xie Z. Construction of a disulfidptosis-related glycolysis gene risk model to predict the prognosis and immune infiltration analysis of gastric adenocarcinoma. Clin Transl Oncol 2024:10.1007/s12094-024-03457-w. [PMID: 38587603 DOI: 10.1007/s12094-024-03457-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 03/11/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND The pattern of cell death known as disulfidptosis was recently discovered. Disulfidptosis, which may affect the growth of tumor cells, represents a potential new approach to treating tumors. Glycolysis affects tumor proliferation, invasion, chemotherapy resistance, the tumor microenvironment (TME), and immune evasion. However, the efficacy and therapeutic significance of disulfidptosis-related glycolysis genes (DRGGs) in stomach adenocarcinoma (STAD) remain uncertain. METHODS STAD clinical data and RNA sequencing data were downloaded from the TCGA database. DRGGs were screened using Cox regression and Lasso regression analysis to construct a prognostic risk model. The accuracy of the model was verified using survival studies, receiver operating characteristic (ROC) curves, column plots, and calibration curves. Additionally, our study investigated the relationships between the risk scores and immune cell infiltration, tumor mutational burden (TMB), and anticancer drug sensitivity. RESULTS We have successfully developed a prognosis risk model with 4 DRGGs (NT5E, ALG1, ANKZF1, and VCAN). The model showed excellent performance in predicting the overall survival of STAD patients. The DRGGs prognostic model significantly correlated with the TME, immune infiltrating cells, and treatment sensitivity. CONCLUSIONS The risk model developed in this work has significant clinical value in predicting the impact of immunotherapy in STAD patients and assisting in the choice of chemotherapeutic medicines. It can correctly estimate the prognosis of STAD patients.
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Affiliation(s)
- Zhaohui Liao
- Department of Gastroenterology, The Second Affiliated Hospital of Nanchang University, No. 1 Minde Road, Donghu District, Nanchang, 330006, China
| | - Zhengyuan Xie
- Department of Gastroenterology, The Second Affiliated Hospital of Nanchang University, No. 1 Minde Road, Donghu District, Nanchang, 330006, China.
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Safa H, Mercinelli C, Spiess PE, Necchi A, Chahoud J. Insights into the management of penile squamous cell carcinoma: from conventional approaches to emerging novel therapies. Expert Opin Pharmacother 2024:1-19. [PMID: 38549550 DOI: 10.1080/14656566.2024.2337244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 03/27/2024] [Indexed: 04/04/2024]
Abstract
INTRODUCTION Penile squamous cell carcinoma (PSCC), a rare genitourinary cancer, is associated with poor outcomes due to limited treatment effectiveness, especially in advanced stages. AREAS COVERED While chemotherapy and/or surgery remain the standard of care, emerging therapies like immunotherapy, targeted therapy, and human papillomavirus (HPV) directed therapies show promise. Key to advancing treatment is understanding the immune microenvironment to gain insights into tumor resistance mechanisms and potential therapeutic targets. The scarcity of data on PSCC is a major obstacle in advancing research for this rare cancer. EXPERT OPINION Future research should prioritize collaborative efforts across various research centers and countries. Enhancing data sharing and pooling resources can lead to a more comprehensive understanding of PSCC, ultimately supporting the development of precision medicine strategies tailored to this specific cancer type. This collaborative approach is essential for making significant strides in PSCC treatment and care.
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Affiliation(s)
- Houssein Safa
- Department of Hematology/Oncology, Baylor College of Medicine, Houston, TX, USA
| | - Chiara Mercinelli
- Department of Medical Oncology, IRCCS San Raffaele Hospital, Vita-Salute San Raffaele University, Milano, Italy
| | - Philippe E Spiess
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | - Andrea Necchi
- Department of Medical Oncology, IRCCS San Raffaele Hospital, Vita-Salute San Raffaele University, Milano, Italy
| | - Jad Chahoud
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA
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11
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Qu H, Mao M, Wang K, Mu Z, Hu B. Knockdown of ADAM8 inhibits the proliferation, migration, invasion, and tumorigenesis of renal clear cell carcinoma cells to enhance the immunotherapy efficacy. Transl Res 2024; 266:32-48. [PMID: 37992987 DOI: 10.1016/j.trsl.2023.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 11/13/2023] [Indexed: 11/24/2023]
Abstract
The current study performed bioinformatics and in vitro and in vivo experiments to explore the effects of ADAM8 on the malignant behaviors and immunotherapeutic efficacy of renal clear cell carcinoma (ccRCC) Cells. The modular genes most associated with immune cells were screened. Then, prognostic risk models were constructed by univariate COX analysis, LASSO regression analysis and multivariate COX analysis, and their diagnostic value was determined. The correlation between tumor mutation load (TMB) scores and the prognosis of ccRCC patients was clarified. Finally, six key genes (ABI3, ADAM8, APOL3, MX2, CCDC69, and STAC3) were analyzed for immunotherapy efficacy. Human and mouse ccRCC cell lines and human proximal tubular epithelial cell lines were used for in vitro cell experiments. The effect of ADAM8 overexpression or knockdown on tumor formation and survival in ccRCC cells was examined by constructing subcutaneous transplanted tumor model. Totally, 636 Black module genes were screened as being most associated with immune cell infiltration. Six genes were subsequently confirmed for the construction of prognostic risk models, of which ABI3, APOL3 and CCDC69 were low-risk factors, while ADAM8, MX2 and STAC3 were high-risk factors. The constructed risk model based on the identified six genes could accurately predict the prognosis of ccRCC patients. Besides, TMB was significantly associated with the prognosis of ccRCC patients. Furthermore, ABI3, ADAM8, APOL3, MX2, CCDC69 and STAC3 might play important roles in treatment concerning CTLA4 inhibitors or PD-1 inhibitors or combined inhibitors. Finally, we confirmed that ADAM8 could promote the proliferation, migration and invasion of ccRCC cells through in vitro experiments, and further found that in in vivo experiments, ADAM8 knockdown could inhibit tumor formation in ccRCC cells, improve the therapeutic effect of anti-PD1, and prolong the survival of mice. Our study highlighted the alleviative role of silencing ADAM8 in ccRCC patients.
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Affiliation(s)
- Hongchen Qu
- Department of Urological Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, No.44 Xiaoheyan Road, Dadong District, Shenyang, Liaoning Province 110042, PR China
| | - Minghuan Mao
- Department of Urological Surgery, Fourth affiliated Hospital of China Medical University, Shenyang 110000, PR China
| | - Kai Wang
- Department of Urological Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, No.44 Xiaoheyan Road, Dadong District, Shenyang, Liaoning Province 110042, PR China
| | - Zhongyi Mu
- Department of Urological Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, No.44 Xiaoheyan Road, Dadong District, Shenyang, Liaoning Province 110042, PR China
| | - Bin Hu
- Department of Urological Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, No.44 Xiaoheyan Road, Dadong District, Shenyang, Liaoning Province 110042, PR China.
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12
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Llovet JM, Pinyol R, Yarchoan M, Singal AG, Marron TU, Schwartz M, Pikarsky E, Kudo M, Finn RS. Adjuvant and neoadjuvant immunotherapies in hepatocellular carcinoma. Nat Rev Clin Oncol 2024; 21:294-311. [PMID: 38424197 DOI: 10.1038/s41571-024-00868-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/02/2024] [Indexed: 03/02/2024]
Abstract
Liver cancer, specifically hepatocellular carcinoma (HCC), is the sixth most common cancer and the third leading cause of cancer mortality worldwide. The development of effective systemic therapies, particularly those involving immune-checkpoint inhibitors (ICIs), has substantially improved the outcomes of patients with advanced-stage HCC. Approximately 30% of patients are diagnosed with early stage disease and currently receive potentially curative therapies, such as resection, liver transplantation or local ablation, which result in median overall survival durations beyond 60 months. Nonetheless, up to 70% of these patients will have disease recurrence within 5 years of resection or local ablation. To date, the results of randomized clinical trials testing adjuvant therapy in patients with HCC have been negative. This major unmet need has been addressed with the IMbrave 050 trial, demonstrating a recurrence-free survival benefit in patients with a high risk of relapse after resection or local ablation who received adjuvant atezolizumab plus bevacizumab. In parallel, studies testing neoadjuvant ICIs alone or in combination in patients with early stage disease have also reported efficacy. In this Review, we provide a comprehensive overview of the current approaches to manage patients with early stage HCC. We also describe the tumour immune microenvironment and the mechanisms of action of ICIs and cancer vaccines in this setting. Finally, we summarize the available evidence from phase II/III trials of neoadjuvant and adjuvant approaches and discuss emerging clinical trials, identification of biomarkers and clinical trial design considerations for future studies.
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Affiliation(s)
- Josep M Llovet
- Liver Cancer Translational Research Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Universitat de Barcelona, Barcelona, Spain.
- Mount Sinai Liver Cancer Program, Divisions of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain.
| | - Roser Pinyol
- Liver Cancer Translational Research Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
| | - Mark Yarchoan
- Johns Hopkins Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Amit G Singal
- Department of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Thomas U Marron
- Mount Sinai Liver Cancer Program, Divisions of Liver Diseases, Department of Medicine, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Myron Schwartz
- Department of Liver Surgery, Recanati/Miller Transplantation Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eli Pikarsky
- The Lautenberg Center for Immunology and Cancer Research, Institute for Medical Research Israel-Canada (IMRIC), Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Masatoshi Kudo
- Department of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Richard S Finn
- Department of Medicine, Division of Hematology/Oncology, Geffen School of Medicine at UCLA, Los Angeles, CA, USA
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13
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Xin T, Zheng C, Li GZ, Xu X, Zhang J, Jia C, Jing P, Lu Q. Comprehensive analysis of exosome gene LYPD3 and prognosis/immune cell infiltration in lung cancer. Transl Cancer Res 2024; 13:1394-1405. [PMID: 38617517 PMCID: PMC11009804 DOI: 10.21037/tcr-23-1557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 01/23/2024] [Indexed: 04/16/2024]
Abstract
Background Lung cancer (LC) is a leading cause of cancer-associated mortality worldwide, with high incidence and mortality rates. Ly6/PLAUR domain containing 3 (LYPD3) is a tumorigenic and highly glycosylated cell surface protein that has been rarely reported in LC. This study aimed to explore the prognostic role and immune cell infiltration of LYPD3 in LC. Methods We used ExoCarta, a database of exosomal proteins and RNA, to select exosomes in LC. The Tumor Immune Estimation Resource (TIMER) and Human Protein Atlas (HPA) databases were utilized to compare the expression of LYPD3 in LC. We applied Gene Expression Profiling Interactive Analysis 2 (GEPIA2) and Kaplan-Meier (KM) plotter to evaluate the prognostic prediction performance of LYPD3. Biological processes (BPs), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, and gene set enrichment analysis (GSEA) analyses were performed to illustrate the possible role of LYPD3 in LC. The correlations between LYPD3 and immune cell infiltration were explored using Tumor and Immune System Interaction Database (TISIDB), GEPIA2, and TIMER. R software was used for statistical analysis and mapping. Results A total of 904 exosome molecules were screened in LC. Further analysis showed that the up-regulation of LYPD3 in these 904 exosome molecules was associated with poor prognosis in LC. Pan-cancer analyses revealed that the expression of LYPD3 varied in many cancers, particularly in LC. Clinical correlation analysis indicated that LYPD3 was associated with stage and T classification in LC. We observed that LYPD3 co-expression genes were associated with cell cycle, DNA replication, proteasome, and regulation of the actin cytoskeleton by GSEA. Moreover, LYPD3 was associated with immune modulators. Immunophenoscores (IPS) and IPS-CTLA4 were significantly different between the high LYPD3 group and low LYPD3 group. Additionally, the median half maximal inhibitory concentration (IC50) of bexarotene, cyclopamine, etoposide, and paclitaxel in LYPD3 high group was significantly lower than that in LYPD3 low group. Conclusions LYPD3 is involved in many BPs of LC, such as regulating immune cell infiltration and affecting prognosis. Therefore, LYPD3 may have potential value as a biomarker for prognosis and immunotherapy in LC.
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Affiliation(s)
- Tao Xin
- Department of Respiratory, Tangdu Hospital, Air Force Medical University, Xi’an, China
| | - Chunlong Zheng
- Department of Thoracic Surgery, Tangdu Hospital, Air Force Medical University, Xi’an, China
| | - Gui-Zhen Li
- Department of Thoracic Surgery, Tangdu Hospital, Air Force Medical University, Xi’an, China
| | - Xinyao Xu
- Department of Thoracic Surgery, Tangdu Hospital, Air Force Medical University, Xi’an, China
| | - Jipeng Zhang
- Department of Thoracic Surgery, Tangdu Hospital, Air Force Medical University, Xi’an, China
| | - Chenghui Jia
- Department of Thoracic Surgery, The First Affiliated Hospital of Xi’an Medical College, Xi’an, China
| | - Pengyu Jing
- Department of Thoracic Surgery, Tangdu Hospital, Air Force Medical University, Xi’an, China
| | - Qiang Lu
- Department of Thoracic Surgery, Tangdu Hospital, Air Force Medical University, Xi’an, China
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14
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Chang J, Feng Q, Mao Y, Zhang Z, Xu Y, Chen Y, Zheng P, Lin S, Shen F, Zhang Z, Zhang Z, He G, Xu J, Wei Y. Siglec9 + tumor-associated macrophages predict prognosis and therapeutic vulnerability in patients with colon cancer. Int Immunopharmacol 2024; 130:111771. [PMID: 38430807 DOI: 10.1016/j.intimp.2024.111771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 02/09/2024] [Accepted: 02/26/2024] [Indexed: 03/05/2024]
Abstract
BACKGROUND Siglec9 has been identified as an immune checkpoint molecule on tumor-associated macrophages (TAMs). Nevertheless, the expression profile and clinical significance of Siglec9 + TAMs in colon cancer (CC) are still not fully understood. METHODS Two clinical cohorts from distinct medical centers were retrospectively enrolled. Immunohistochemistry and immunofluorescence were conducted to evaluate the infiltration of immune cells. Single-cell RNA sequencing and flow cytometry were utilized to identify the impact of Siglec9 + TAMs on the tumor immune environment, which was subsequently validated through bioinformatics analysis of the TCGA database. Prognosis and the benefit of adjuvant chemotherapy (ACT) were also evaluated using Cox regression analysis and the Kaplan-Meier method. RESULTS High infiltration of Siglec9 + TAMs was associated with worse prognosis and better benefit from 6-month ACT. Siglec9 + TAMs contributed to immunoevasion by promoting the infiltration of immunosuppressive cells and the dysfunction process of CD8 + T cells. Additionally, high infiltration of Siglec9 + TAMs was associated with the mesenchymal-featured subtype and overexpression of the VEGF signaling pathway, which was validated by the strongest communication between Siglec9 + TAMs and vascular endothelial cells. CONCLUSIONS Siglec9 + TAMs may serve as a biomarker for prognosis and response to ACT in CC. Furthermore, the immunoevasive contexture and angiogenesis stimulated by Siglec9 + TAMs suggest potential treatment combinations for CC patients.
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Affiliation(s)
- Jiang Chang
- Colorectal Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China; Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China; Department of General Surgery, Huadong Hospital, Fudan University, Shanghai, China
| | - Qingyang Feng
- Colorectal Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China; Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Engineering Research Center of Colorectal Cancer Minimally Invasive, Shanghai, China
| | - Yihao Mao
- Colorectal Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China; Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhiyuan Zhang
- Colorectal Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China; Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yuqiu Xu
- Colorectal Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China; Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yijiao Chen
- Colorectal Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China; Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Peng Zheng
- Colorectal Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China; Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Songbin Lin
- General Surgery Department, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen, Fujian Province, China
| | - Feifan Shen
- Colorectal Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China; Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhuojian Zhang
- Colorectal Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China; Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ziqi Zhang
- Colorectal Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China; Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Guodong He
- Colorectal Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China; Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Engineering Research Center of Colorectal Cancer Minimally Invasive, Shanghai, China.
| | - Jianmin Xu
- Colorectal Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China; Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Engineering Research Center of Colorectal Cancer Minimally Invasive, Shanghai, China.
| | - Ye Wei
- Colorectal Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China; Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China; Shanghai Engineering Research Center of Colorectal Cancer Minimally Invasive, Shanghai, China; Department of General Surgery, Huadong Hospital, Fudan University, Shanghai, China.
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15
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Li ZC, Wang J, Liu HB, Zheng YM, Huang JH, Cai JB, Zhang L, Liu X, Du L, Yang XT, Chai XQ, Jiang YH, Ren ZG, Zhou J, Fan J, Yu DC, Sun HC, Huang C, Liu F. Proteomic and metabolomic features in patients with HCC responding to lenvatinib and anti-PD1 therapy. Cell Rep 2024; 43:113877. [PMID: 38421869 DOI: 10.1016/j.celrep.2024.113877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 12/16/2023] [Accepted: 02/13/2024] [Indexed: 03/02/2024] Open
Abstract
Combination therapy (lenvatinib/programmed death-1 inhibitor) is effective for treating unresectable hepatocellular carcinoma (uHCC). We reveal that responders have better overall and progression-free survival, as well as high tumor mutation burden and special somatic variants. We analyze the proteome and metabolome of 82 plasma samples from patients with hepatocellular carcinoma (HCC; n = 51) and normal controls (n = 15), revealing that individual differences outweigh treatment differences. Responders exhibit enhanced activity in the alternative/lectin complement pathway and higher levels of lysophosphatidylcholines (LysoPCs), predicting a favorable prognosis. Non-responders are enriched for immunoglobulins, predicting worse outcomes. Compared to normal controls, HCC plasma proteins show acute inflammatory response and platelet activation, while LysoPCs decrease. Combination therapy increases LysoPCs/phosphocholines in responders. Logistic regression/random forest models using metabolomic features achieve good performance in the prediction of responders. Proteomic analysis of cancer tissues unveils molecular features that are associated with side effects in responders receiving combination therapy. In conclusion, our analysis identifies plasma features associated with uHCC responders to combination therapy.
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Affiliation(s)
- Zhong-Chen Li
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China; Department of Hepatic Oncology, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jie Wang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China; Minhang Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical of Sciences, Fudan University, 131 DongAn Road, Shanghai 200032, China
| | - He-Bin Liu
- Shanghai Omicsolution Co., Ltd., 28 Yuanwen Road, Shanghai 201199, China
| | - Yi-Min Zheng
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Jian-Hang Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China; Minhang Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical of Sciences, Fudan University, 131 DongAn Road, Shanghai 200032, China
| | - Jia-Bin Cai
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Lei Zhang
- Institutes of Biomedical of Sciences, Fudan University, 220 Handan Road, Shanghai 200433, China
| | - Xin Liu
- Department of Central Laboratory Medicine, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, 274 Zhijiang Road, Shanghai 200071, China
| | - Ling Du
- Minhang Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical of Sciences, Fudan University, 131 DongAn Road, Shanghai 200032, China
| | - Xue-Ting Yang
- Minhang Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical of Sciences, Fudan University, 131 DongAn Road, Shanghai 200032, China
| | - Xiao-Qiang Chai
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Ying-Hua Jiang
- Minhang Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical of Sciences, Fudan University, 131 DongAn Road, Shanghai 200032, China
| | - Zheng-Gang Ren
- Department of Hepatic Oncology, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China
| | - De-Cai Yu
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China.
| | - Hui-Chuan Sun
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China.
| | - Cheng Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China.
| | - Feng Liu
- Minhang Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical of Sciences, Fudan University, 131 DongAn Road, Shanghai 200032, China.
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16
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Zhang Q, Wang X, Liu Y, Xu H, Ye C. Pan-cancer and single-cell analyses identify CD44 as an immunotherapy response predictor and regulating macrophage polarization and tumor progression in colorectal cancer. Front Oncol 2024; 14:1380821. [PMID: 38590654 PMCID: PMC10999581 DOI: 10.3389/fonc.2024.1380821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 03/11/2024] [Indexed: 04/10/2024] Open
Abstract
Introduction Cluster of differentiation (CD) 44 is a non-kinase cell surface transmembrane glycoprotein critical for tumor maintenance and progression. Methods We conducted a systematic analysis of the expression profile and genomic alteration profile of CD44 in 33 types of cancer. The immune characteristics of CD44 were comprehensively explored by TIMER2.0 and CIBERSORT. In addition, the CD44 transcriptional landscape was examined at the single-cell level. Then, Pseudotime trajectory analysis of CD44 gene expression was performed using Monocle 2, and CellChat was utilized to compare the crosstalk differences between CD44+monocytes and CD44- monocytes. Tumor immune dysfunction and exclusion (TIDE) was used to evaluate the predictive ability of CD44 for immune checkpoint blockade (ICB) responses. The effects of CD44 on colorectal cancer (CRC) and macrophage polarization were investigated by knocking down the expression of CD44 in HCT-116 cell and macrophages in vitro. Results The expression of CD44 elevated in most cancers, predicting unfavorable prognosis. In addditon, CD44 was correlation with immune cell infiltration and key immune regulators. CD44+ monocytes had a higher information flow intensity than CD44- monocytes. CD44 had good predictive ability for immune checkpoint blockade responses. Knockdown of CD44 inhibited the proliferation, migration, and invasion of HCT-116 cell in vitro. Knockdown of CD44 inhibited M2 macrophage polarization. Discussion These findings suggest that CD44 is involved in regulating tumor development, macrophage polarization, and has certain predictive value for patient clinical prognosis and response to immunotherapy.
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Affiliation(s)
- Qian Zhang
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, China
- Department of General Surgery, General Hospital of Northern Theater Command, Shenyang, China
| | - Xinyu Wang
- Department of General Surgery, General Hospital of Northern Theater Command, Shenyang, China
| | - Yang Liu
- Department of Pharmacy, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning, China
| | - Hao Xu
- Department of General Surgery, General Hospital of Northern Theater Command, Shenyang, China
| | - Chun Ye
- Department of General Surgery, General Hospital of Northern Theater Command, Shenyang, China
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17
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Muquith M, Espinoza M, Elliott A, Xiu J, Seeber A, El-Deiry W, Antonarakis ES, Graff SL, Hall MJ, Borghaei H, Hoon DSB, Liu SV, Ma PC, McKay RR, Wise-Draper T, Marshall J, Sledge GW, Spetzler D, Zhu H, Hsiehchen D. Tissue-specific thresholds of mutation burden associated with anti-PD-1/L1 therapy benefit and prognosis in microsatellite-stable cancers. Nat Cancer 2024:10.1038/s43018-024-00752-x. [PMID: 38528112 DOI: 10.1038/s43018-024-00752-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 02/28/2024] [Indexed: 03/27/2024]
Abstract
Immune checkpoint inhibitors (ICIs) targeting programmed cell death protein 1 or its ligand (PD-1/L1) have expanded the treatment landscape against cancers but are effective in only a subset of patients. Tumor mutation burden (TMB) is postulated to be a generic determinant of ICI-dependent tumor rejection. Here we describe the association between TMB and survival outcomes among microsatellite-stable cancers in a real-world clinicogenomic cohort consisting of 70,698 patients distributed across 27 histologies. TMB was associated with survival benefit or detriment depending on tissue and treatment context, with eight cancer types demonstrating a specific association between TMB and improved outcomes upon treatment with anti-PD-1/L1 therapies. Survival benefits were noted over a broad range of TMB cutoffs across cancer types, and a dose-dependent relationship between TMB and outcomes was observed in a subset of cancers. These results have implications for the use of cancer-agnostic and universal TMB cutoffs to guide the use of anti-PD-1/L1 therapies, and they underline the importance of tissue context in the development of ICI biomarkers.
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Affiliation(s)
- Maishara Muquith
- Division of Hematology and Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Magdalena Espinoza
- Division of Digestive and Liver Diseases, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | | | - Andreas Seeber
- Department of Hematology and Oncology, Comprehensive Cancer Center Innsbruck, Medical University of Innsbruck, Innsbruck, Austria
| | - Wafik El-Deiry
- Laboratory of Translational Oncology and Experimental Cancer Therapeutics, Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Emmanuel S Antonarakis
- Division of Hematology, Oncology and Transplantation, Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Stephanie L Graff
- Lifespan Cancer Institute, Legorreta Cancer Center, Brown University, Providence, RI, USA
| | - Michael J Hall
- Department of Clinical Genetics, Fox Chase Cancer Center, Temple University Health System, Philadelphia, PA, USA
| | - Hossein Borghaei
- Department of Hematology-Oncology, Fox Chase Cancer Center, Temple University Health System, Philadelphia, PA, USA
| | - Dave S B Hoon
- Department of Translational Molecular Medicine, Saint John's Cancer Institute, Providence Saint John's Health Center, Santa Monica, CA, USA
| | - Stephen V Liu
- Division of Hematology and Oncology, Georgetown University, Washington, DC, USA
| | | | - Rana R McKay
- Moores Cancer Center, University of California San Diego Health, La Jolla, CA, USA
| | - Trisha Wise-Draper
- Division of Hematology and Oncology, Department of Internal Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - John Marshall
- Ruesch Center for The Cure of Gastrointestinal Cancers, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | | | | | - Hao Zhu
- Division of Hematology and Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - David Hsiehchen
- Division of Hematology and Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
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18
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Thapa B, Kato S, Nishizaki D, Miyashita H, Lee S, Nesline MK, Previs RA, Conroy JM, DePietro P, Pabla S, Kurzrock R. OX40/OX40 ligand and its role in precision immune oncology. Cancer Metastasis Rev 2024:10.1007/s10555-024-10184-9. [PMID: 38526805 DOI: 10.1007/s10555-024-10184-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 03/20/2024] [Indexed: 03/27/2024]
Abstract
Immune checkpoint inhibitors have changed the treatment landscape for various malignancies; however, their benefit is limited to a subset of patients. The immune machinery includes both mediators of suppression/immune evasion, such as PD-1, PD-L1, CTLA-4, and LAG-3, all of which can be inhibited by specific antibodies, and immune-stimulatory molecules, such as T-cell co-stimulatory receptors that belong to the tumor necrosis factor receptor superfamily (TNFRSF), including OX40 receptor (CD134; TNFRSF4), 4-1BB (CD137; TNFRSF9), and glucocorticoid-induced TNFR-related (GITR) protein (CD357; TNFRSF18). In particular, OX40 and its binding ligand OX40L (CD134L; TNFSF4; CD252) are critical for immunoregulation. When OX40 on activated T cells binds OX40L on antigen-presenting cells, T-cell activation and immune stimulation are initiated via enhanced T-cell survival, proliferation and cytotoxicity, memory T-cell formation, and abrogation of regulatory T cell (Treg) immunosuppressive functions. OX40 agonists are in clinical trials both as monotherapy and in combination with other immunotherapy agents, in particular specific checkpoint inhibitors, for cancer treatment. To date, however, only a minority of patients respond. Transcriptomic profiling reveals that OX40 and OX40L expression vary between and within tumor types, and that only ~ 17% of cancer patients have high OX40 and low OX40L, one of the expression patterns that might be theoretically amenable to OX40 agonist enhancement. Taken together, the data suggest that the OX40/OX40L machinery is a critical part of the immune stimulatory system and that understanding endogenous expression patterns of these molecules and co-existing checkpoints merits further investigation in the context of a precision immunotherapy strategy for cancer therapy.
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Affiliation(s)
- Bicky Thapa
- Division of Hematology and Oncology, Medical College of Wisconsin, Milwaukee, WI, USA.
| | - Shumei Kato
- Center for Personalized Cancer Therapy, University of California San Diego, Moores Cancer Center, La Jolla, CA, USA
| | - Daisuke Nishizaki
- Center for Personalized Cancer Therapy, University of California San Diego, Moores Cancer Center, La Jolla, CA, USA
| | | | - Suzanna Lee
- Center for Personalized Cancer Therapy, University of California San Diego, Moores Cancer Center, La Jolla, CA, USA
| | | | | | | | | | | | - Razelle Kurzrock
- MCW Cancer Center and Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA
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Wu T, Ji MR, Luo LX. Mechanisms and potential applications of COPS6 in pan-cancer therapy. World J Clin Oncol 2024; 15:367-370. [PMID: 38576589 PMCID: PMC10989263 DOI: 10.5306/wjco.v15.i3.367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 01/11/2024] [Accepted: 02/04/2024] [Indexed: 03/22/2024] Open
Abstract
The COP9 signalosome subunit 6 (COPS6) is abnormally overexpressed in many malignancies, yet its precise role in carcinogenesis is unknown. To gain a better understanding of COPS6's role, the authors conducted a pan-cancer analysis using various bioinformatics techniques such as differential expression patterns, prognostic value, gene mutations, immune infiltration, correlation analysis, and functional enrichment assessment. Results showed that COPS6 was highly correlated with prognosis, immune cell infiltration level, tumor mutation burden, and microsatellite instability in patients with a range of tumor types. This suggests that COPS6 may be a potential target for cancer treatment. Overall, this research provides insight into COPS6's role in cancer development and its potential therapeutic applications.
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Affiliation(s)
- Tong Wu
- The First Clinical College, Guangdong Medical University, Zhanjiang 524023, Guangdong Province, China
| | - Miao-Rong Ji
- The First Clinical College, Guangdong Medical University, Zhanjiang 524023, Guangdong Province, China
| | - Lian-Xiang Luo
- The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang 524000, Guangdong Province, China
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20
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Altorki NK, Bhinder B, Borczuk AC, Elemento O, Mittal V, McGraw TE. A signature of enhanced proliferation associated with response and survival to anti-PD-L1 therapy in early-stage non-small cell lung cancer. Cell Rep Med 2024; 5:101438. [PMID: 38401548 PMCID: PMC10982989 DOI: 10.1016/j.xcrm.2024.101438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/20/2023] [Accepted: 01/30/2024] [Indexed: 02/26/2024]
Abstract
In early-stage non-small cell lung cancer, the combination of neoadjuvant anti-PD-L1 and subablative stereotactic body radiation therapy (SBRT) is associated with higher rates of major pathologic response compared to anti-PD-L1 alone. Here, we identify a 140-gene set, enriched in genes characteristic of highly proliferating cells, associated with response to the dual therapy. Analysis of on-treatment transcriptome data indicate roles for T and B cells in response. The 140-gene set is associated with disease-free survival when applied to the combined trial arms. This 140-gene set identifies a subclass of tumors in all 7 of The Cancer Genome Atlas tumor types examined. Worse survival is associated with the 140-gene signature in 5 of these tumor types. Collectively, our data support that this 140-gene set, discovered in association with response to combined anti-PD-L1 and SBRT, identifies a clinically aggressive subclass of solid tumors that may be more likely to respond to immunotherapies.
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Affiliation(s)
- Nasser K Altorki
- Meyer Cancer Center, Weill Cornell Medicine and New York Presbyterian Hospital, New York, NY 10065, USA; Department of Cardiothoracic Surgery, Weill Cornell Medicine and New York Presbyterian Hospital, New York, NY 10065, USA.
| | - Bhavneet Bhinder
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Alain C Borczuk
- Department of Pathology and Laboratory Medicine, Northwell Health Cancer Institute, Northwell Health, Greenvale, NY 10042, USA
| | - Olivier Elemento
- Meyer Cancer Center, Weill Cornell Medicine and New York Presbyterian Hospital, New York, NY 10065, USA; Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA; Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Vivek Mittal
- Meyer Cancer Center, Weill Cornell Medicine and New York Presbyterian Hospital, New York, NY 10065, USA; Department of Cardiothoracic Surgery, Weill Cornell Medicine and New York Presbyterian Hospital, New York, NY 10065, USA
| | - Timothy E McGraw
- Meyer Cancer Center, Weill Cornell Medicine and New York Presbyterian Hospital, New York, NY 10065, USA; Department of Cardiothoracic Surgery, Weill Cornell Medicine and New York Presbyterian Hospital, New York, NY 10065, USA; Department of Biochemistry, Weill Cornell Medicine, New York, NY 10065, USA.
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21
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Chen J, Zhu H, Chen S, Mi H. Apolipoprotein E is a Potential Biomarker for Predicting Cancer Prognosis and is Correlated with Immune Infiltration. Onco Targets Ther 2024; 17:199-214. [PMID: 38523659 PMCID: PMC10960509 DOI: 10.2147/ott.s447319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 03/12/2024] [Indexed: 03/26/2024] Open
Abstract
Background Apolipoprotein E (APOE) is a polymorphic protein that plays a role in lipoprotein transformation and metabolism. It is involved in numerous physiological processes within the body and is closely associated with tumor growth and metastasis. However, the role of APOE in pan-cancer has yet to be evaluated. Therefore, studying the association between APOE and various cancer types is crucial for providing a basis for individualized treatment strategies and clinical prognosis assessment. Methods We investigated the diagnostic and prognostic significance of APOE across 33 tumor types, as well as its correlation with tumor mutation burden (TMB) and microsatellite instability (MSI). Additionally, we employed the ESTIMATE and CIBERSORT algorithms to analyze the potential impact of APOE on the immune system. Furthermore, gene set enrichment analysis (GSEA) was conducted to explore its underlying physiological function. Results Based on observations from a pan-cancer dataset, APOE expression was significantly different between cancer and normal tissues, and was simultaneously associated with survival outcomes in terms of cancer type, clinical annotation, TMB, MSI, and TICs abundance. In addition, the results also showed that expression of APOE may respond to a variety of cancer chemotherapy. Conclusion The findings from this study strongly indicate a close association between APOE and tumor development. Moreover, APOE shows promise as a potential biomarker for predicting prognosis and response to immunotherapy in patients with pan-cancer.
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Affiliation(s)
- Jinji Chen
- Department of Urology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China
| | - Herong Zhu
- Department of Urology, Guangdong Provincial Hospital of Integrated Traditional Chinese and Western Medicine, Foshan, People’s Republic of China
| | - Shaohua Chen
- Department of Urology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China
| | - Hua Mi
- Department of Urology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China
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22
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Li Y, Gao W, Yang Z, Hu Z, Li J. Multi-omics pan-cancer analyses identify MCM4 as a promising prognostic and diagnostic biomarker. Sci Rep 2024; 14:6517. [PMID: 38499612 PMCID: PMC10948783 DOI: 10.1038/s41598-024-57299-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 03/16/2024] [Indexed: 03/20/2024] Open
Abstract
Minichromosome Maintenance Complex Component 4 (MCM4) is a vital component of the mini-chromosome maintenance complex family, crucial for initiating the replication of eukaryotic genomes. Recently, there has been a growing interest in investigating the significance of MCM4 in different types of cancer. Despite the existing research on this topic, a comprehensive analysis of MCM4 across various cancer types has been lacking. This study aims to bridge this knowledge gap by presenting a thorough pan-cancer analysis of MCM4, shedding light on its functional implications and potential clinical applications. The study utilized multi-omics samples from various databases. Bioinformatic tools were employed to explore the expression profiles, genetic alterations, phosphorylation states, immune cell infiltration patterns, immune subtypes, functional enrichment, disease prognosis, as well as the diagnostic potential of MCM4 and its responsiveness to drugs in a range of cancers. Our research demonstrates that MCM4 is closely associated with the oncogenesis, prognosis and diagnosis of various tumors and proposes that MCM4 may function as a potential biomarker in pan-cancer, providing a deeper understanding of its potential role in cancer development and treatment.
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Affiliation(s)
- Yanxing Li
- Xi'an Jiaotong University Health Science Center, Xi'an, 710000, Shaanxi, People's Republic of China
| | - Wentao Gao
- Xi'an Jiaotong University Health Science Center, Xi'an, 710000, Shaanxi, People's Republic of China
| | - Zhen Yang
- Xi'an Jiaotong University Health Science Center, Xi'an, 710000, Shaanxi, People's Republic of China
| | - Zhenwei Hu
- Xi'an Jiaotong University Health Science Center, Xi'an, 710000, Shaanxi, People's Republic of China
| | - Jianjun Li
- Department of Cardiology, Jincheng People's Hospital Affiliated to Changzhi Medical College, Jincheng, Shanxi, People's Republic of China.
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23
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Jiang C, Chao CC, Li J, Ge X, Shen A, Jucaud V, Cheng C, Shen X. Tissue-resident memory T cell signatures from single-cell analysis associated with better melanoma prognosis. iScience 2024; 27:109277. [PMID: 38455971 PMCID: PMC10918229 DOI: 10.1016/j.isci.2024.109277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 01/05/2024] [Accepted: 02/15/2024] [Indexed: 03/09/2024] Open
Abstract
Tissue-resident memory T cells (TRM) are a specialized T cell population residing in peripheral tissues. The presence and potential impact of TRM in the tumor immune microenvironment (TIME) remain to be elucidated. Here, we systematically investigated the relationship between TRM and melanoma TIME based on multiple clinical single-cell RNA-seq datasets and developed signatures indicative of TRM infiltration. TRM infiltration is associated with longer overall survival and abundance of T cells, NK cells, M1 macrophages, and memory B cells in the TIME. A 22-gene TRM-derived risk score was further developed to effectively classify patients into low- and high-risk categories, distinguishing overall survival and immune activation, particularly in T cell-mediated responses. Altogether, our analysis suggests that TRM abundance is associated with melanoma TIME activation and patient survival, and the TRM-based machine learning model can potentially predict prognosis in melanoma patients.
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Affiliation(s)
- Chongming Jiang
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Cheng-Chi Chao
- Department of Pipeline Development, Biomap, Inc, San Francisco, CA, USA
| | - Jianrong Li
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Xin Ge
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA
| | - Aidan Shen
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA
| | - Vadim Jucaud
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA
| | - Chao Cheng
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Xiling Shen
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA
- Xilis, Inc., Durham, NC 27713, USA
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24
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Wang L, Han C, Cai C, Wu J, Chen J, Su C. Identification of immune-related gene signature for non-small cell lung cancer patients with immune checkpoint inhibitors. Heliyon 2024; 10:e26974. [PMID: 38463866 PMCID: PMC10923664 DOI: 10.1016/j.heliyon.2024.e26974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 01/31/2024] [Accepted: 02/22/2024] [Indexed: 03/12/2024] Open
Abstract
Background The utilization of immune checkpoint inhibitors (ICIs) has become the established protocol for treating advanced non-small cell lung cancer (NSCLC). This work aimed to identify the immune-related gene signature that can predict the prognosis of NSCLC patients receiving ICI treatment. Methods The ImmPort database was queried to obtain a list of immune-related genes (IRGs). Differentially expressed IRGs in NSCLC patients were identified using the TCGA database. RNA-seq data and clinical information from NSCLC patients receiving immunotherapy were obtained from the GEO database (GSE93157 and ////). A gene signature was generated through multivariate Cox and LASSO regression analyses. The prognostic value and function of this gene signature were thoroughly investigated using comprehensive bioinformatics analyses. Results A total of 6 prognostic-related genes were identified from 617 differentially expressed genes, and two prognostic-related differentially expressed genes (CAMP and IL17A) were determined to construct gene signature. Our gene signature demonstrated superior performance compared to other clinicopathological parameters in predicting the prognosis of NSCLC patients receiving immunotherapy, with an area under the ROC curve (AUC) of 0.812. Furthermore, immune infiltration analysis indicated that the high-risk group was enriched with resting CD4 T cell memory, while the low-risk group showed a "hot" tumor microenvironment that promotes anti-tumor immunity in NSCLC patients. Conclusion Gene signatures based on immune-related genes exhibited excellent indicator performance of prognosis and immune infiltration, which has the potential to be an effective biomarker for NSCLC with ICI treatment.
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Affiliation(s)
- Li Wang
- Department of Medical Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200433, PR China
| | - Chaonan Han
- Department of Medical Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200433, PR China
| | - Chenlei Cai
- Department of Medical Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200433, PR China
| | - Jing Wu
- Department of Medical Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200433, PR China
| | - Jianing Chen
- Department of Medical Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200433, PR China
| | - Chunxia Su
- Department of Medical Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200433, PR China
- Department of Clinical Research Center, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200433, PR China
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25
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Ouyang P, Wang L, Wu J, Tian Y, Chen C, Li D, Yao Z, Chen R, Xiang G, Gong J, Bao Z. Overcoming cold tumors: a combination strategy of immune checkpoint inhibitors. Front Immunol 2024; 15:1344272. [PMID: 38545114 PMCID: PMC10965539 DOI: 10.3389/fimmu.2024.1344272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Accepted: 02/26/2024] [Indexed: 04/12/2024] Open
Abstract
Immune Checkpoint Inhibitors (ICIs) therapy has advanced significantly in treating malignant tumors, though most 'cold' tumors show no response. This resistance mainly arises from the varied immune evasion mechanisms. Hence, understanding the transformation from 'cold' to 'hot' tumors is essential in developing effective cancer treatments. Furthermore, tumor immune profiling is critical, requiring a range of diagnostic techniques and biomarkers for evaluation. The success of immunotherapy relies on T cells' ability to recognize and eliminate tumor cells. In 'cold' tumors, the absence of T cell infiltration leads to the ineffectiveness of ICI therapy. Addressing these challenges, especially the impairment in T cell activation and homing, is crucial to enhance ICI therapy's efficacy. Concurrently, strategies to convert 'cold' tumors into 'hot' ones, including boosting T cell infiltration and adoptive therapies such as T cell-recruiting bispecific antibodies and Chimeric Antigen Receptor (CAR) T cells, are under extensive exploration. Thus, identifying key factors that impact tumor T cell infiltration is vital for creating effective treatments targeting 'cold' tumors.
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Affiliation(s)
- Peng Ouyang
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Lijuan Wang
- Department of Pathophysiology, School of Medicine, Jinan University, Guangzhou, Guangdong, China
| | - Jianlong Wu
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Yao Tian
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Caiyun Chen
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Dengsheng Li
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Zengxi Yao
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Ruichang Chen
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Guoan Xiang
- Department of General Surgery, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, China
| | - Jin Gong
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Zhen Bao
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
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26
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Wu R, Li D, Zhang S, Wang J, Chen K, Tuo Z, Miyamoto A, Yoo KH, Wei W, Zhang C, Feng D, Han P. A pan-cancer analysis of the oncogenic and immunological roles of transglutaminase 1 (TGM1) in human cancer. J Cancer Res Clin Oncol 2024; 150:123. [PMID: 38472489 PMCID: PMC10933153 DOI: 10.1007/s00432-024-05640-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 02/02/2024] [Indexed: 03/14/2024]
Abstract
BACKGROUND There is currently a limited number of studies on transglutaminase type 1 (TGM1) in tumors. The objective of this study is to perform a comprehensive analysis across various types of cancer to determine the prognostic significance of TGM1 in tumors and investigate its role in the immune environment. METHOD Pan-cancer and mutational data were retrieved from the TCGA database and analyzed using R (version 3.6.4) and its associated software package. The expression difference and prognosis of TGM1 were examined, along with its correlation with tumor heterogeneity, stemness, mutation landscape, and RNA modification. Additionally, the relationship between TGM1 expression and tumor immunity was investigated using the TIMER method. RESULTS TGM1 is expressed differently in various tumors and normal samples and is associated with the overall survival and progression-free time of KIRC, ACC, SKCM, LIHC, and STES. In LICH, we found a negative correlation between TGM1 expression and 6 indicators of tumor stemness. The mutation frequencies of BLCA, LIHC, and KIRC were 1.7%, 0.3%, and 0.3% respectively. In BLCA and BRCA, there was a significant correlation between TGM1 expression and the infiltration of CD4 + T cells, CD8 + T cells, neutrophils, and dendritic cells. CONCLUSION TGM1 has the potential to serve as both a prognostic marker and a drug target.
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Affiliation(s)
- Ruicheng Wu
- Department of Urology, Institute of Urology, West China School of Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Dengxiong Li
- Department of Urology, Institute of Urology, West China School of Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Shuxia Zhang
- Research Core Facilities, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, People's Republic of China
| | - Jie Wang
- Department of Urology, Institute of Urology, West China School of Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Kai Chen
- Department of Urology, Institute of Urology, West China School of Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Zhouting Tuo
- Department of Urology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
| | - Akira Miyamoto
- Department of Rehabilitation, West Kyushu University, Fukuoka, Japan
| | - Koo Han Yoo
- Department of Urology, Kyung Hee University, Seoul, South Korea
| | - Wuran Wei
- Department of Urology, Institute of Urology, West China School of Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Chi Zhang
- Department of Rehabilitation, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, People's Republic of China
| | - Dechao Feng
- Department of Urology, Institute of Urology, West China School of Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
- Department of Rehabilitation, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, People's Republic of China.
| | - Ping Han
- Department of Urology, Institute of Urology, West China School of Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
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Yuan Z, Zhu Q, Wu Q, Zhang Z, Guo J, Wu G, Zheng C, Xu Q, Huang D, Cui D. Prognostic and Immune Landscape Analysis of Ubiquitination-related Genes in Hepatocellular Carcinoma: Based on Bulk and Single-cell RNA Sequencing Data. J Cancer 2024; 15:2580-2600. [PMID: 38577593 PMCID: PMC10988309 DOI: 10.7150/jca.93425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 02/14/2024] [Indexed: 04/06/2024] Open
Abstract
Background: Despite significant advances in tumor immunotherapy, hepatocellular carcinoma (HCC) remains a malignancy with a challenging prognosis. The increasing research emphasizes the crucial role of ubiquitination in tumor immunotherapy. However, the establishment of prognostic signatures based on ubiquitination-related genes (UbRGs) and their role in immunotherapy are still lacking in HCC. Methods: We employed datasets from TCGA and GEO for transcriptome differential expression analysis and single-cell RNA sequencing analysis. Applying weighted gene co-expression network analysis, cox regression, lasso, selection and visualization of the most relevant features, and gradient boosting machine, we identified hub UbRGs as a gene signature to develop a prognostic model. We evaluated the predictive utility concerning clinical characteristics as well as its role in the immune landscape and immunotherapy potential. Additionally, western blotting, reverse transcription-quantitative PCR, and immunofluorescence were employed to detect the expression and sub-localization of hub genes. Results: Three hub UbRGs (BOP1, CDC20, and UBE2S) were identified as a gene signature. In particular, the high-risk group exhibited notable characteristics, including higher tumor mutation burden, enrichment in immune-related pathways, up-regulation immune checkpoint, and higher immunity scores. Treatment response to immunotherapy varied based on the expression of PD-1 and CTLA-4. Furthermore, single-cell data analysis revealed heterogeneous expression of hub UbRGs across different cell subtypes, while cytological experiments provided additional confirmation of the high expression of hub UbRGs in HCC. Conclusion: Our study provides valuable insights into the identification of novel ubiquitination-related biomarkers with potential applications for prognosis, immunotherapy prediction, and drug sensitivity in HCC.
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Affiliation(s)
- Zibo Yuan
- Qingdao Medical College, Qingdao University, Qingdao, 266000, China
- The Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310000, China
| | - Qingwei Zhu
- Qingdao Medical College, Qingdao University, Qingdao, 266000, China
- The Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310000, China
| | - Qingsong Wu
- The Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, 310000, China
| | - Zhe Zhang
- The Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, 310000, China
| | - Junwei Guo
- The Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, 310000, China
| | - Gongqiang Wu
- Department of Hematology, Dongyang People's Hospital of Zhejiang Provincial, Dongyang, 322100, China
| | - Cuiping Zheng
- Department of Hematology and Chemotherapy, Wenzhou Central Hospital, Wenzhou, 325000, China
| | - Qiuran Xu
- The Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310000, China
| | - Dongsheng Huang
- The Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310000, China
| | - Di Cui
- The Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310000, China
- General Surgery, Cancer Center, Department of Hepatobiliary and Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310014, China
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Monkman J, Moradi A, Yunis J, Ivison G, Mayer A, Ladwa R, O'Byrne K, Kulasinghe A. Spatial insights into immunotherapy response in non-small cell lung cancer (NSCLC) by multiplexed tissue imaging. J Transl Med 2024; 22:239. [PMID: 38439077 PMCID: PMC10910756 DOI: 10.1186/s12967-024-05035-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 02/24/2024] [Indexed: 03/06/2024] Open
Abstract
The spatial localisation of immune cells within tumours are key to understand the intercellular communications that can dictate clinical outcomes. Here, we demonstrate an analysis pipeline for highly multiplexed CODEX data to phenotype and profile spatial features and interactions in NSCLC patients that subsequently received PD1 axis immunotherapy. We found that regulatory T cells (Tregs) are enriched in non-responding patients and this was consistent with their localization within stromal and peripheral tumour-margins. Proximity-based interactions between Tregs and both monocytes (p = 0.009) and CD8+ T cells (p = 0.009) were more frequently found in non-responding patients, while macrophages were more frequently located in proximity to HLADR+ tumour cells (p = 0.01) within responding patients. Cellular neighbourhoods analysis indicated that both macrophages (p = 0.003) and effector CD4+ T cells (p = 0.01) in mixed tumour neighbourhoods, as well as CD8+ T cells (p = 0.03) in HLADR+ tumour neighbourhoods were associated with favorable clinical response. Evaluation of the inferred regulatory functions between immune cells relative to the tumour suggested that macrophages exhibit an immunosuppressive phenotype against both CD4+ and CD8+ T cells, and that this association scores more highly in ICI refractory patients. These spatial patterns are associated with overall survival in addition to ICI response and may thus indicate features for the functional understanding of the tumour microenvironment.
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Affiliation(s)
- James Monkman
- Faculty of Medicine, Frazer Institute, The University of Queensland, 37 Kent Street, Woolloongabba, Brisbane, QLD, 4102, Australia
| | - Afshin Moradi
- Faculty of Medicine, Frazer Institute, The University of Queensland, 37 Kent Street, Woolloongabba, Brisbane, QLD, 4102, Australia
| | - Joseph Yunis
- Faculty of Medicine, Frazer Institute, The University of Queensland, 37 Kent Street, Woolloongabba, Brisbane, QLD, 4102, Australia
- Faculty of Medicine, Ian Frazer Centre for Children's Immunotherapy Research, Children's Health Research Centre, The University of Queensland, Brisbane, QLD, Australia
| | | | | | - Rahul Ladwa
- Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - Ken O'Byrne
- Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - Arutha Kulasinghe
- Faculty of Medicine, Frazer Institute, The University of Queensland, 37 Kent Street, Woolloongabba, Brisbane, QLD, 4102, Australia.
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29
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Zhang J, Li Y, Dai W, Tang F, Wang L, Wang Z, Li S, Ji Q, Zhang J, Liao Z, Yu J, Xu Y, Gong J, Hu J, Li J, Guo X, He F, Han L, Gong Y, Ouyang W, Wang Z, Xie C. Molecular classification reveals the sensitivity of lung adenocarcinoma to radiotherapy and immunotherapy: multi-omics clustering based on similarity network fusion. Cancer Immunol Immunother 2024; 73:71. [PMID: 38430394 PMCID: PMC10908647 DOI: 10.1007/s00262-024-03657-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/19/2024] [Indexed: 03/03/2024]
Abstract
BACKGROUND Due to individual differences in tumors and immune systems, the response rate to immunotherapy is low in lung adenocarcinoma (LUAD) patients. Combinations with other therapeutic strategies improve the efficacy of immunotherapy in LUAD patients. Although radioimmunotherapy has been demonstrated to effectively suppress tumors, the underlying mechanisms still need to be investigated. METHODS Total RNA from LUAD cells was sequenced before and after radiotherapy to identify differentially expressed radiation-associated genes. The similarity network fusion (SNF) algorithm was applied for molecular classification based on radiation-related genes, immune-related genes, methylation data, and somatic mutation data. The changes in gene expression, prognosis, immune cell infiltration, radiosensitivity, chemosensitivity, and sensitivity to immunotherapy were assessed for each subtype. RESULTS We used the SNF algorithm and multi-omics data to divide TCGA-LUAD patients into three subtypes. Patients with the CS3 subtype had the best prognosis, while those with the CS1 and CS2 subtypes had poorer prognoses. Among the strains tested, CS2 exhibited the most elevated immune cell infiltration and expression of immune checkpoint genes, while CS1 exhibited the least. Patients in the CS2 subgroup were more likely to respond to PD-1 immunotherapy. The CS2 patients were most sensitive to docetaxel and cisplatin, while the CS1 patients were most sensitive to paclitaxel. Experimental validation of signature genes in the CS2 subtype showed that inhibiting the expression of RHCG and TRPA1 could enhance the sensitivity of lung cancer cells to radiation. CONCLUSIONS In summary, this study identified a risk classifier based on multi-omics data that can guide treatment selection for LUAD patients.
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Affiliation(s)
- Jianguo Zhang
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Yangyi Li
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Weijing Dai
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Fang Tang
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Lanqing Wang
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Zhiying Wang
- Department of Gastroenterology, Qingdao Municipal Hospital, Qingdao, 266000, Shandong, China
| | - Siqi Li
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Qian Ji
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Junhong Zhang
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Zhengkai Liao
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Jing Yu
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Yu Xu
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Jun Gong
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Jing Hu
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Jie Li
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Xiuli Guo
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Fajian He
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Linzhi Han
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Yan Gong
- Tumor Precision Diagnosis and Treatment Technology and Translational Medicine, Hubei Engineering Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
- Human Genetics Resource Reservation Center, Wuhan University, Wuhan, 430071, Hubei, China
| | - Wen Ouyang
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China.
- Hubei Key Laboratory of Tumour Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China.
| | - Zhihao Wang
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China.
- Hubei Key Laboratory of Tumour Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China.
| | - Conghua Xie
- Department of Pulmonary Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China.
- Hubei Key Laboratory of Tumour Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China.
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Qiu L, Liu C, Li H. Successful immunotherapy with PD-1 Iinhibitor for advanced pancreatic cancer: report of two cases and review of literature. Anticancer Drugs 2024; 35:263-270. [PMID: 38194502 DOI: 10.1097/cad.0000000000001546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Pancreatic cancer is a highly malignant tumor, and most patients are diagnosed at an advanced stage. Unfortunately, due to the immunosuppressive tumor microenvironment of pancreatic cancer, the benefits of immunotherapy for patients with advanced pancreatic cancer are still unclear. Here, we present two cases of advanced pancreatic cancer being controlled by immunotherapy, with pathological diagnoses of ductal adenocarcinoma and acinar cell carcinoma, respectively. Next-generation sequencing (NGS) of both patients is high tumor mutation burden (tumor mutation burden-High) and microsatellite stable. The patient with pancreatic ductal adenocarcinoma was diagnosed as a locally advanced disease (stage III). She received irreversible electroporation, used the programmed death receptor-1 (PD-1) inhibitor (pembrolizumab) combined with chemotherapy (S-1), and then used only the PD-1 inhibitor as a maintenance treatment. As a result, the patient's lesion was significantly reduced, with a partial response time of up to 31 months. The patient with acinar cell carcinoma was diagnosed as a metastatic disease (stage IV), next-generation sequencing revealed mutations in SMAD4 and KMT2D, and two chemotherapy regimens were used unsuccessfully. Then, the combination of chemotherapy with PD-1 (tislelizumab) and vascular endothelial growth factor/vascular endothelial growth factor receptor (anlotinib) inhibitors were used, and the lesions of the patient were significantly reduced, and the progression-free survival after immunotherapy was 19 months. In advanced pancreatic cancer, a prognosis of this magnitude is rare. Our cases reveal the potential of immunotherapy as a cornerstone treatment in the management of advanced pancreatic cancer.
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Affiliation(s)
- Lijie Qiu
- Department of Oncology, Sun Yat-sen University First Affiliated Hospital
- Department of Radiology, Sun Yat-sen University Sixth Affiliated Hospital
| | - Chen Liu
- Department of Radiology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong Province, China
| | - Heping Li
- Department of Oncology, Sun Yat-sen University First Affiliated Hospital
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31
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Tan J, Egelston CA, Guo W, Stark JM, Lee PP. STING signalling compensates for low tumour mutation burden to drive anti-tumour immunity. EBioMedicine 2024; 101:105035. [PMID: 38401418 PMCID: PMC10904200 DOI: 10.1016/j.ebiom.2024.105035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 01/30/2024] [Accepted: 02/11/2024] [Indexed: 02/26/2024] Open
Abstract
BACKGROUND While mutation-derived neoantigens are well recognized in generating anti-tumour T cell response, increasing evidences highlight the complex association between tumour mutation burden (TMB) and tumour infiltrating lymphocytes (TILs). The exploration of non-TMB determinants of active immune response could improve the prognosis prediction and provide guidance for current immunotherapy. METHODS The transcriptomic and whole exome sequence data in The Cancer Genome Atlas were used to examine the relationship between TMB and exhausted CD8+ T cells (Tex), as an indicator of tumour antigen-specific T cells across nine major cancer types. Computational clustering analysis was performed on 4510 tumours to identify different immune profiles. NanoString gene expression analysis and single cell RNA-seq analysis using fresh human breast cancer were performed for finding validation. FINDINGS TMB was found to be poorly correlated with active immune response in various cancer types. Patient clustering analysis revealed a group of tumours with abundant Tex but low TMB. In those tumours, we observed significantly higher expression of the stimulator of interferon genes (STING) signalling. Dendritic cells, particularly those of BATF3+ lineage, were also found to be essential for accumulation of Tex within tumours. Mechanistically, loss of genomic and cellular integrity, marked by decreased DNA damage repair, defective replication stress response, and increased apoptosis were shown to drive STING activation. INTERPRETATION These results highlight that TMB alone does not fully predict tumour immune profiles, with STING signalling compensating for low TMB in non-hypermutated tumours to enhance anti-tumour immunity. Translating these results, STING agonists may benefit patients with non-hypermutated tumours. STING activation may serve as an additional biomarker to predict response to immune checkpoint blockades alongside TMB. Our research also unravelled the interplay between genomic instability and STING activation, informing potential combined chemotherapy targeting the axis of genomic integrity and immunotherapy. FUNDING City of Hope Christopher Family Endowed Innovation Fund for Alzheimer's Disease and Breast Cancer Research in honor of Vineta Christopher; Breast Cancer Alliance Early Career Investigator Award; National Cancer Institute of the National Institutes of Health under award number R01CA256989 and R01CA240392.
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Affiliation(s)
- Jiayi Tan
- Department of Immuno-Oncology, Beckman Research Institute, City of Hope, Duarte, CA, USA; Irell & Manella Graduate School of Biological Sciences, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Colt A Egelston
- Department of Immuno-Oncology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Weihua Guo
- Department of Immuno-Oncology, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Jeremy M Stark
- Department of Cancer Genetics and Epigenetics, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Peter P Lee
- Department of Immuno-Oncology, Beckman Research Institute, City of Hope, Duarte, CA, USA.
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Li M, Wang L, Cong L, Wong CC, Zhang X, Chen H, Zeng T, Li B, Jia X, Huo J, Huang Y, Ren X, Peng S, Fu G, Xu L, Sung JJ, Kuang M, Li X, Yu J. Spatial proteomics of immune microenvironment in nonalcoholic steatohepatitis-associated hepatocellular carcinoma. Hepatology 2024; 79:560-574. [PMID: 37733002 PMCID: PMC10871559 DOI: 10.1097/hep.0000000000000591] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 08/13/2023] [Indexed: 09/22/2023]
Abstract
BACKGROUND AND AIMS NASH-HCC is inherently resistant to immune checkpoint blockade, but its tumor immune microenvironment is largely unknown. APPROACH AND RESULTS We applied the imaging mass cytometry to construct a spatially resolved single-cell atlas from the formalin-fixed and paraffin-embedded tissue sections from patients with NASH-HCC, virus-HCC (HBV-HCC and HCV-HCC), and healthy donors. Based on 35 biomarkers, over 750,000 individual cells were categorized into 13 distinct cell types, together with the expression of key immune functional markers. Higher infiltration of T cells, myeloid-derived suppressor cell (MDSCs), and tumor-associated macrophages (TAMs) in HCC compared to controls. The distribution of immune cells in NASH-HCC is spatially heterogeneous, enriched at adjacent normal tissues and declined toward tumors. Cell-cell connections analysis revealed the interplay of MDSCs and TAMs with CD8 + T cells in NASH-HCC. In particular, exhausted programmed cell death 1 (PD-1 + )CD8 + T cells connected with programmed cell death-ligand 1 (PD-L1 + )/inducible T cell costimulator (ICOS + ) MDSCs and TAMs in NASH-HCC, but not in viral HCC. In contrast, CD4 + /CD8 + T cells with granzyme B positivity were reduced in NASH-HCC. Tumor cells expressed low PD-L1 and showed few connections with immune cells. CONCLUSIONS Our work provides the first detailed spatial map of single-cell phenotypes and multicellular connections in NASH-HCC. We demonstrate that interactions between MDSCs and TAMs with effector T cells underlie immunosuppression in NASH-HCC and are an actionable target.
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Affiliation(s)
- Meiyi Li
- State Key Laboratory of Digestive Disease, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Lina Wang
- Center of Hepato-Pancreato-Biliary Surgery, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Institute of Precision Medicine, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Liang Cong
- Institute of Precision Medicine, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Chi Chun Wong
- State Key Laboratory of Digestive Disease, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Xiang Zhang
- State Key Laboratory of Digestive Disease, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Huarong Chen
- State Key Laboratory of Digestive Disease, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Tao Zeng
- Guangzhou Laboratory, Guangzhou, China
| | - Bin Li
- Clinical Trial Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xian Jia
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, School of Medicine, Xiamen University, Xiamen, China
| | - Jihui Huo
- Institute of Precision Medicine, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yuhua Huang
- State Key Laboratory of Oncology in South China, Department of Pathology, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - Xiaoxue Ren
- Institute of Precision Medicine, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Sui Peng
- Institute of Precision Medicine, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Clinical Trial Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Guo Fu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, School of Medicine, Xiamen University, Xiamen, China
| | - Lixia Xu
- Institute of Precision Medicine, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Department of Oncology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Joseph J.Y. Sung
- Institute of Precision Medicine, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Ming Kuang
- Center of Hepato-Pancreato-Biliary Surgery, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Institute of Precision Medicine, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xiaoxing Li
- Institute of Precision Medicine, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jun Yu
- State Key Laboratory of Digestive Disease, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
- Institute of Precision Medicine, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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Li Z, Li J, Wu Z, Zhu Y, Zhuo T, Nong J, Qian J, Peng H, Dai L, Wang Y, Chen M, Zeng X. Upregulation of POC1A in lung adenocarcinoma promotes tumour progression and predicts poor prognosis. J Cell Mol Med 2024; 28:e18135. [PMID: 38429900 PMCID: PMC10907829 DOI: 10.1111/jcmm.18135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 12/13/2023] [Accepted: 12/19/2023] [Indexed: 03/03/2024] Open
Abstract
Lung adenocarcinoma (LUAD) is characterized by a high incidence rate and mortality. Recently, POC1 centriolar protein A (POC1A) has emerged as a potential biomarker for various cancers, contributing to cancer onset and development. However, the association between POC1A and LUAD remains unexplored. We extracted The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) data sets to analyse the differential expression of POC1A and its relationship with clinical stage. Additionally, we performed diagnostic receiver operator characteristic (ROC) curve analysis and Kaplan-Meier (KM) survival analysis to assess the diagnostic and prognostic value of POC1A in LUAD. Furthermore, we investigated the correlation between POC1A expression and immune infiltration, tumour mutation burden (TMB), immune checkpoint expression and drug sensitivity. Finally, we verified POC1A expression using real-time quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry (IHC). Cell experiments were conducted to validate the effect of POC1A expression on the proliferation, migration and invasion of lung cancer cells. POC1A exhibited overexpression in most tumour tissues, and its overexpression in LUAD was significantly correlated with late-stage presentation and poor prognosis. The high POC1A expression group showed lower levels of immune infiltration but higher levels of immune checkpoint expression and TMB. Moreover, the high POC1A expression group demonstrated sensitivity to multiple drugs. In vitro experiments confirmed that POC1A knockdown led to decreased proliferation, migration, and invasion of lung cancer cells. Our findings suggest that POC1A may contribute to tumour development by modulating the cell cycle and immune cell infiltration. It also represents a potential therapeutic target and marker for the diagnosis and prognosis of LUAD.
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Affiliation(s)
- Zi‐Hao Li
- Department of Cardio‐Thoracic SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Jia‐Yi Li
- Geriatrics Department of Endocrinology and MetabolismThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Zuo‐Tao Wu
- Department of Cardio‐Thoracic SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Yong‐Jie Zhu
- Department of Cardio‐Thoracic SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Ting Zhuo
- Department of Respiratory MedicineThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Ju‐Sen Nong
- Department of Pediatric SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Jing Qian
- Department of Cardio‐Thoracic SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Hua‐Jian Peng
- Department of Cardio‐Thoracic SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Lei Dai
- Department of Cardio‐Thoracic SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Yong‐Yong Wang
- Department of Cardio‐Thoracic SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Ming‐Wu Chen
- Department of Cardio‐Thoracic SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Xiao‐Chun Zeng
- Department of Cardio‐Thoracic SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
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Ye L, Jiang Z, Zheng M, Pan K, Lian J, Ju B, Liu X, Tang S, Guo G, Zhang S, Hong X, Lu W. Fatty acid metabolism-related lncRNA prognostic signature for serous ovarian carcinoma. Epigenomics 2024; 16:309-329. [PMID: 38356435 DOI: 10.2217/epi-2023-0388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2024] Open
Abstract
Background: To explore the role of fatty acid metabolism (FAM)-related lncRNAs in the prognosis and antitumor immunity of serous ovarian cancer (SOC). Materials & methods: A SOC FAM-related lncRNA risk model was developed and evaluated by a series of analyses. Additional immune-related analyses were performed to further assess the associations between immune state, tumor microenvironment and the prognostic risk model. Results: Five lncRNAs associated with the FAM genes were found and used to create a predictive risk model. The patients with a low-risk profile exhibited favorable prognostic outcomes. Conclusion: The established prognostic risk model exhibits better predictive capabilities for the prognosis of patients with SOC and offers novel potential therapy targets for SOC.
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Affiliation(s)
- Lele Ye
- Women's Reproductive Health Laboratory of Zhejiang Province, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, Zhejiang, China
| | - Zhuofeng Jiang
- Department of Biochemistry, School of Medicine, Southern University of Science & Technology, Shenzhen, 518055, Guangdong, China
| | - Mengxia Zheng
- Women's Reproductive Health Laboratory of Zhejiang Province, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, Zhejiang, China
| | - Kan Pan
- First Clinical College, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
| | - Jingru Lian
- Department of Biochemistry, School of Medicine, Southern University of Science & Technology, Shenzhen, 518055, Guangdong, China
| | - Bing Ju
- Department of Biochemistry, School of Medicine, Southern University of Science & Technology, Shenzhen, 518055, Guangdong, China
| | - Xuefei Liu
- Department of Biochemistry, School of Medicine, Southern University of Science & Technology, Shenzhen, 518055, Guangdong, China
| | - Sangsang Tang
- Women's Reproductive Health Laboratory of Zhejiang Province, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, Zhejiang, China
| | - Gangqiang Guo
- Wenzhou Collaborative Innovation Center of Gastrointestinal Cancer in Basic Research & Precision Medicine, Wenzhou Key Laboratory of Cancer-related Pathogens & Immunity, Department of Microbiology & Immunology, Institute of Molecular Virology & Immunology, Institute of Tropical Medicine, School of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
| | - Songfa Zhang
- Department of Gynecologic Oncology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, Zhejiang, China
| | - Xin Hong
- Department of Biochemistry, School of Medicine, Southern University of Science & Technology, Shenzhen, 518055, Guangdong, China
- Key University Laboratory of Metabolism & Health of Guangdong, Southern University of Science & Technology, Shenzhen, 518055, Guangdong, China
- Guangdong Provincial Key Laboratory of Cell Microenvironment & Disease Research, Southern University of Science & Technology, Shenzhen, 518055, Guangdong, China
| | - Weiguo Lu
- Women's Reproductive Health Laboratory of Zhejiang Province, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, Zhejiang, China
- Department of Gynecologic Oncology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, Zhejiang, China
- Center of Uterine Cancer Diagnosis & Therapy of Zhejiang Province, Hangzhou, 310006, Zhejiang, China
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Liu X, Ou J. The development of prognostic gene markers associated with disulfidptosis in gastric cancer and their application in predicting drug response. Heliyon 2024; 10:e26013. [PMID: 38384541 PMCID: PMC10878937 DOI: 10.1016/j.heliyon.2024.e26013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/24/2023] [Accepted: 02/06/2024] [Indexed: 02/23/2024] Open
Abstract
Background Gastric cancer (GC) is a malignancy known for its high fatality rate. Disulfidptosis, a potentially innovative therapeutic strategy for cancer treatment, has been proposed. Nevertheless, the specific involvement of disulfidptosis in the context of GC remains uncertain. Methods The mRNA expression profiles were obtained from the TCGA and GEO databases. Univariate and LASSO Cox regression analyses were employed to identify differentially expressed genes and develop a risk model for disulfidptosis-related genes. The performance of the model was evaluated using Kaplan-Meier curve, ROC curve, and nomogram. Univariate and multivariate Cox regression analyses were conducted to determine if the risk model could serve as an independent prognostic factor. The biological function of the identified genes was assessed through GO, KEGG, and GSEA analyses. The prediction of drug response was conducted employing the package "pRRophetic". Furthermore, gene expression was determined using qRT-PCR. Results An eight-gene signature were identified and utilized to categorize patients into low- and high-risk groups. Survival, receiver operating characteristic (ROC) curve, and Cox analyses provided clarification that these eight hub genes served as a favorable independent prognostic factor for patients with GC. A nomogram was constructed by integrating clinical parameters with the risk signatures, demonstrating high precision in predicting 1-, 3-, and 5-year survival rates. Additionally, drug sensitivity was different in the high-risk and low-risk groups, and the expression of three genes was verified by qRT-PCR. Conclusion The prognostic risk model developed in this study demonstrates the potential to accurately forecast the prognosis of patients with GC.
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Affiliation(s)
- Xing Liu
- Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China
| | - Jianghong Ou
- Department of Integrated Chinese and Western Medicine, Changsha Central Hospital, Nanhua University, Changsha, 410000, China
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Liang S, Ji L, Yu Z, Cheng Y, Gao R, Yan W, Zhang F. Bioinformatic analysis and experimental validation of cuproptosis-related LncRNA as a novel biomarker for prognosis and immunotherapy of oral squamous cell carcinoma. Hereditas 2024; 161:10. [PMID: 38414024 PMCID: PMC10898041 DOI: 10.1186/s41065-024-00311-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 01/25/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND The novel form of regulatory cell death, cuproptosis, is characterized by proteotoxicity, which ultimately leads to cell death. Its targeting has emerged as a promising therapeutic approach for oral squamous cell carcinoma (OSCC). Long noncoding RNAs (lncRNAs) participate in epigenetic regulation and have been linked to the progression, prognosis, and treatment of OSCC. Thus, this study aimed to identify new cuproptosis-related lncRNAs (CRLs), establish predictive models for clinical prognosis, immune response, and drug sensitivity, and provide novel insights into immune escape and tumor drug resistance. METHODS The present study screened eight CRLs (THAP9-AS1, STARD4-AS1, WDFY3-AS2, LINC00847, CDKN2A-DT, AL132800.1, GCC2-AS1, AC005746.1) using Lasso Cox regression analysis to develop an eight-CRL prognostic model. Patients were categorized into high- and low-risk groups using risk scores. To evaluate the predictive ability of the model, Kaplan-Meier analysis, ROC curves, and nomograms were employed. Furthermore, the study investigated the differences in immune function and anticancer drug sensitivity between the high- and low-risk groups. To validate the expression of CRLs in the model, OSCC cell lines were subjected to quantitative real-time fluorescence PCR (qRT-PCR). RESULTS The results of the study showed that the high-risk group had a shorter overall survival (OS) time in OSCC patients. Cox regression analysis demonstrated that the high-risk score was an independent risk factor for a poor prognosis. The validity of the model was confirmed using ROC curve analysis, and a nomogram was developed to predict the prognosis of OSCC patients. Furthermore, patients in the high-risk group with high TMB had a poorer prognosis. Patients in the low-risk group responded better to immunotherapy than those in the high-risk group. Additionally, the risk scores were significantly associated with drug sensitivity in OSCC patients. Finally, the findings of qRT-PCR supported the reliability of the proposed risk model. CONCLUSION The study identified and established the 8-CRL model, which represents a novel pathway of lncRNA regulation of cuproptosis in OSCC. This model provides guidance for the prognosis and treatment of OSCC and offers a new insight into immune escape and tumor drug resistance.
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Affiliation(s)
- Shuang Liang
- Department of Oral Medicine, Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, Shanxi Medical University School and Hospital of Stomatology, Taiyuan, 030001, China
| | - Lanting Ji
- Department of Oral Medicine, Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, Shanxi Medical University School and Hospital of Stomatology, Taiyuan, 030001, China
| | - Zhenyuan Yu
- Department of Oral Medicine, Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, Shanxi Medical University School and Hospital of Stomatology, Taiyuan, 030001, China
| | - YaHsin Cheng
- Department of Physiology, School of Medicine, China Medical University, Taichung, 40402, Taiwan
| | - Ruifang Gao
- Department of Oral Medicine, Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, Shanxi Medical University School and Hospital of Stomatology, Taiyuan, 030001, China
| | - Wenpeng Yan
- Department of Oral Medicine, Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, Shanxi Medical University School and Hospital of Stomatology, Taiyuan, 030001, China
| | - Fang Zhang
- Department of Oral Medicine, Shanxi Province Key Laboratory of Oral Diseases Prevention and New Materials, Shanxi Medical University School and Hospital of Stomatology, Taiyuan, 030001, China.
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Li J, Han T, Wang X, Wang Y, Yang R, Yang Q. Development of a CD8+ T cell associated signature for predicting the prognosis and immunological characteristics of gastric cancer by integrating single-cell and bulk RNA-sequencing. Sci Rep 2024; 14:4524. [PMID: 38402299 PMCID: PMC10894294 DOI: 10.1038/s41598-024-54273-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 02/10/2024] [Indexed: 02/26/2024] Open
Abstract
The universally poor clinical outcome makes gastric cancer (GC) still a significant public health threat, the main goal of our research is to develop a prognostic signature that can forecast the outcomes and immunological characteristics of GC via integrating single-cell and bulk RNA-sequencing. The CD8+ T cell feature genes were screened out by exploring single-cell RNA-sequencing (scRNA-seq) profiles retrieved from the TISCH2 database. Then, Cox and LASSO regressions were exploited for constructing a prognostic model in TCGA cohort based on these CD8+ T cell feature genes. Survival analysis was conducted to investigate the predictive capability of the signature for the clinical outcome of GC patients in TCGA and GEO cohorts. Additionally, we further examined the correlations between the risk signature and tumor immunotherapeutic response from the perspectives of immune infiltration, tumor mutation burden (TMB), immune checkpoint biomarker (ICB) expression, tumor microenvironment (TME), microsatellite instability (MSI), TIDE, and TCIA scores. In total, 703 CD8+ T cell feature genes were identified, eight of which were selected for constructing a prognostic signature. GC patients who possess high-risk score had significantly poorer survival outcomes than those who possess low-risk score in TCGA and GEO cohorts. Immune infiltration analysis proved that the risk score was negatively connected with the infiltration abundance of CD8+ T cells. Then, our findings demonstrated that GC patients in the high-risk subgroup possess a higher proportion of MSI-L/MSS, lower immune checkpoint biomarker expression, lower TMB, higher TIDE scores and lower TCIA scores compared to those in the low-risk subgroup. What's more, immunotherapy cohort analysis confirmed that patients who possess high-risk score are not sensitive to anti-cancer immunotherapy. Our study developed a reliable prognostic signature for GC that was significantly correlated with the immune landscape and immunotherapeutic responsiveness. The risk signature may guide clinicians to adopt more accurate and personalized treatment strategies for GC patients.
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Affiliation(s)
- Jianxin Li
- Department of General Surgery (Gastrointestinal Surgery), The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Luzhou, Sichuan, 646000, People's Republic of China
| | - Ting Han
- Department of General Surgery (Gastrointestinal Surgery), The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Luzhou, Sichuan, 646000, People's Republic of China
| | - Xin Wang
- Department of General Surgery (Gastrointestinal Surgery), The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Luzhou, Sichuan, 646000, People's Republic of China
| | - Yinchun Wang
- Department of General Surgery (Gastrointestinal Surgery), The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Luzhou, Sichuan, 646000, People's Republic of China
| | - Rui Yang
- Department of General Surgery (Gastrointestinal Surgery), The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Luzhou, Sichuan, 646000, People's Republic of China
| | - Qingqiang Yang
- Department of General Surgery (Gastrointestinal Surgery), The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Luzhou, Sichuan, 646000, People's Republic of China.
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Zhu LH, Yang J, Zhang YF, Yan L, Lin WR, Liu WQ. Identification and validation of a pyroptosis-related prognostic model for colorectal cancer based on bulk and single-cell RNA sequencing data. World J Clin Oncol 2024; 15:329-355. [PMID: 38455135 PMCID: PMC10915942 DOI: 10.5306/wjco.v15.i2.329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 12/24/2023] [Accepted: 01/15/2024] [Indexed: 02/20/2024] Open
Abstract
BACKGROUND Pyroptosis impacts the development of malignant tumors, yet its role in colorectal cancer (CRC) prognosis remains uncertain. AIM To assess the prognostic significance of pyroptosis-related genes and their association with CRC immune infiltration. METHODS Gene expression data were obtained from The Cancer Genome Atlas (TCGA) and single-cell RNA sequencing dataset GSE178341 from the Gene Expression Omnibus (GEO). Pyroptosis-related gene expression in cell clusters was analyzed, and enrichment analysis was conducted. A pyroptosis-related risk model was developed using the LASSO regression algorithm, with prediction accuracy assessed through K-M and receiver operating characteristic analyses. A nomogram predicting survival was created, and the correlation between the risk model and immune infiltration was analyzed using CIBERSORTx calculations. Finally, the differential expression of the 8 prognostic genes between CRC and normal samples was verified by analyzing TCGA-COADREAD data from the UCSC database. RESULTS An effective pyroptosis-related risk model was constructed using 8 genes-CHMP2B, SDHB, BST2, UBE2D2, GJA1, AIM2, PDCD6IP, and SEZ6L2 (P < 0.05). Seven of these genes exhibited differential expression between CRC and normal samples based on TCGA database analysis (P < 0.05). Patients with higher risk scores demonstrated increased death risk and reduced overall survival (P < 0.05). Significant differences in immune infiltration were observed between low- and high-risk groups, correlating with pyroptosis-related gene expression. CONCLUSION We developed a pyroptosis-related prognostic model for CRC, affirming its correlation with immune infiltration. This model may prove useful for CRC prognostic evaluation.
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Affiliation(s)
- Li-Hua Zhu
- Department of Surgical Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan Province, China
| | - Jun Yang
- Department of Surgical Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan Province, China
| | - Yun-Fei Zhang
- Department of Surgical Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan Province, China
| | - Li Yan
- Department of Internal Medicine-Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan Province, China
| | - Wan-Rong Lin
- Department of Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan Province, China
| | - Wei-Qing Liu
- Department of Internal Medicine-Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan Province, China
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Ligero M, Gielen B, Navarro V, Cresta Morgado P, Prior O, Dienstmann R, Nuciforo P, Trebeschi S, Beets-Tan R, Sala E, Garralda E, Perez-Lopez R. A whirl of radiomics-based biomarkers in cancer immunotherapy, why is large scale validation still lacking? NPJ Precis Oncol 2024; 8:42. [PMID: 38383736 PMCID: PMC10881558 DOI: 10.1038/s41698-024-00534-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 01/26/2024] [Indexed: 02/23/2024] Open
Abstract
The search for understanding immunotherapy response has sparked interest in diverse areas of oncology, with artificial intelligence (AI) and radiomics emerging as promising tools, capable of gathering large amounts of information to identify suitable patients for treatment. The application of AI in radiology has grown, driven by the hypothesis that radiology images capture tumor phenotypes and thus could provide valuable insights into immunotherapy response likelihood. However, despite the rapid growth of studies, no algorithms in the field have reached clinical implementation, mainly due to the lack of standardized methods, hampering study comparisons and reproducibility across different datasets. In this review, we performed a comprehensive assessment of published data to identify sources of variability in radiomics study design that hinder the comparison of the different model performance and, therefore, clinical implementation. Subsequently, we conducted a use-case meta-analysis using homogenous studies to assess the overall performance of radiomics in estimating programmed death-ligand 1 (PD-L1) expression. Our findings indicate that, despite numerous attempts to predict immunotherapy response, only a limited number of studies share comparable methodologies and report sufficient data about cohorts and methods to be suitable for meta-analysis. Nevertheless, although only a few studies meet these criteria, their promising results underscore the importance of ongoing standardization and benchmarking efforts. This review highlights the importance of uniformity in study design and reporting. Such standardization is crucial to enable meaningful comparisons and demonstrate the validity of biomarkers across diverse populations, facilitating their implementation into the immunotherapy patient selection process.
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Affiliation(s)
- Marta Ligero
- Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Bente Gielen
- Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Victor Navarro
- Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Pablo Cresta Morgado
- Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
- Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain
- Prostate Cancer Translational Research Group, Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain
| | - Olivia Prior
- Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Rodrigo Dienstmann
- Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Paolo Nuciforo
- Molecular Oncology Group, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain
| | - Stefano Trebeschi
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Regina Beets-Tan
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
- Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Evis Sala
- Dipartimento Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- Dipartimento di Scienze Radiologiche ed Ematologiche, Universita Cattolica del Sacro Cuore, Rome, Italy
| | - Elena Garralda
- Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain
| | - Raquel Perez-Lopez
- Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.
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Tan Q, Gao R, Zhang X, Yang J, Xing P, Yang S, Wang D, Wang G, Wang S, Yao J, Zhang Z, Tang L, Yu X, Han X, Shi Y. Longitudinal plasma proteomic analysis identifies biomarkers and combinational targets for anti-PD1-resistant cancer patients. Cancer Immunol Immunother 2024; 73:47. [PMID: 38349411 PMCID: PMC10864508 DOI: 10.1007/s00262-024-03631-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 01/08/2024] [Indexed: 02/15/2024]
Abstract
The response rate of anti-PD1 therapy is limited, and the influence of anti-PD1 therapy on cancer patients is unclear. To address these challenges, we conducted a longitudinal analysis of plasma proteomic changes with anti-PD1 therapy in non-small cell lung cancer (NSCLC), alveolar soft part sarcoma (ASPS), and lymphoma patients. We included 339 plasma samples before and after anti-PD1 therapy from 193 patients with NSCLC, ASPS, or lymphoma. The plasma proteins were detected using data-independent acquisition-mass spectrometry and customable antibody microarrays. Differential proteomic characteristics in responders (R) and non-responders (NR) before and after anti-PD1 therapy were elucidated. A total of 1019 proteins were detected using our in-depth proteomics platform and distributed across 10-12 orders of abundance. By comparing the differential plasma proteome expression between R and NR groups, 50, 206, and 268 proteins were identified in NSCLC, ASPS, and lymphoma patients, respectively. Th17, IL-17, and JAK-STAT signal pathways were identified upregulated in NR group, while cellular senescence and transcriptional misregulation pathways were activated in R group. Longitudinal proteomics analysis revealed the IL-17 signaling pathway was downregulated after treatment. Consistently, many proteins were identified as potential combinatorial therapeutic targets (e.g., IL-17A and CD22). Five noninvasive biomarkers (FLT4, SFTPB, GNPTG, F5, and IL-17A) were further validated in an independent lymphoma cohort (n = 39), and another three noninvasive biomarkers (KIT, CCL3, and TNFSF1) were validated in NSCLC cohort (n = 76). Our results provide molecular insights into the anti-PD1 therapy in cancer patients and identify new therapeutic strategies for anti-PD1-resistant patients.
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Affiliation(s)
- Qiaoyun Tan
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Ruyun Gao
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Xiaomei Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Jianliang Yang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Puyuan Xing
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Sheng Yang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Dan Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Guibing Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Shasha Wang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Jiarui Yao
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Zhishang Zhang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Le Tang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China
| | - Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Xiaohong Han
- Clinical Pharmacology Research Center, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, NMPA Key Laboratory for Clinical Research and Evaluation of Drug, Beijing Key Laboratory of Clinical PK & PD Investigation for Innovative Drugs, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
| | - Yuankai Shi
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study On Anticancer Molecular Targeted Drugs, Beijing, 100021, China.
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Ntostoglou K, Theodorou SDP, Proctor T, Nikas IP, Awounvo S, Sepsa A, Georgoulias V, Ryu HS, Pateras IS, Kittas C. Distinct profiles of proliferating CD8+/TCF1+ T cells and CD163+/PD-L1+ macrophages predict risk of relapse differently among treatment-naïve breast cancer subtypes. Cancer Immunol Immunother 2024; 73:46. [PMID: 38349444 PMCID: PMC10864422 DOI: 10.1007/s00262-024-03630-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 01/07/2024] [Indexed: 02/15/2024]
Abstract
Immunophenotypic analysis of breast cancer microenvironment is gaining attraction as a clinical tool improving breast cancer patient stratification. The aim of this study is to evaluate proliferating CD8 + including CD8 + TCF1 + Τ cells along with PD-L1 expressing tissue-associated macrophages among different breast cancer subtypes. A well-characterized cohort of 791 treatment-naïve breast cancer patients was included. The analysis demonstrated a distinct expression pattern among breast cancer subtypes characterized by increased CD8 + , CD163 + and CD163 + PD-L1 + cells along with high PD-L1 status and decreased fraction of CD8 + Ki67 + T cells in triple negative (TNBC) and HER2 + compared to luminal tumors. Kaplan-Meier and Cox univariate survival analysis revealed that breast cancer patients with high CD8 + , CD8 + Ki67 + , CD8 + TCF1 + cells, PD-L1 score and CD163 + PD-L1 + cells are likely to have a prolonged relapse free survival, while patients with high CD163 + cells have a worse prognosis. A differential impact of high CD8 + , CD8 + Ki67 + , CD8 + TCF1 + T cells, CD163 + PD-L1 + macrophages and PD-L1 status on prognosis was identified among the various breast cancer subtypes since only TNBC patients experience an improved prognosis compared to patients with luminal A tumors. Conversely, high infiltration by CD163 + cells is associated with worse prognosis only in patients with luminal A but not in TNBC tumors. Multivariate Cox regression analysis in TNBC patients revealed that increased CD8 + [hazard ratio (HR) = 0.542; 95% confidence interval (CI) 0.309-0.950; p = 0.032), CD8 + TCF1 + (HR = 0.280; 95% CI 0.101-0.779; p = 0.015), CD163 + PD-L1 + (HR: 0.312; 95% CI 0.112-0.870; p = 0.026) cells along with PD-L1 status employing two different scoring methods (HR: 0.362; 95% CI 0.162-0.812; p = 0.014 and HR: 0.395; 95% CI 0.176-0.884; p = 0.024) were independently linked with a lower relapse rate. Multivariate analysis in Luminal type A patients revealed that increased CD163 + was independently associated with a higher relapse rate (HR = 2.360; 95% CI 1.077-5.170; p = 0.032). This study demonstrates that the evaluation of the functional status of CD8 + T cells in combination with the analysis of immunosuppressive elements could provide clinically relevant information in different breast cancer subtypes.
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Affiliation(s)
- Konstantinos Ntostoglou
- Department of Histopathology, Biomedicine Group of Health Company, 15626, Athens, Greece
- Medical School, National and Kapodistrian University of Athens, 11527, Goudi, Athens, Greece
| | - Sofia D P Theodorou
- Medical School, National and Kapodistrian University of Athens, 11527, Goudi, Athens, Greece
| | - Tanja Proctor
- Institute of Medical Biometry, University of Heidelberg, 69120, Heidelberg, Germany
| | - Ilias P Nikas
- Medical School, University of Cyprus, 2029, Nicosia, Cyprus
| | - Sinclair Awounvo
- Institute of Medical Biometry, University of Heidelberg, 69120, Heidelberg, Germany
| | - Athanasia Sepsa
- Department of Anatomic Pathology, Metropolitan Hospital, 9 Ethnarchou Makariou & 1 E. Venizelou Street, Neo Faliro, 18547, Piraeus, Greece
| | | | - Han Suk Ryu
- Department of Pathology, College of Medicine, Seoul National University Hospital, 03080, Seoul, Republic of Korea
| | - Ioannis S Pateras
- 2nd Department of Pathology, Medical School, "Attikon" University Hospital, National and Kapodistrian University of Athens, 124 62, Athens, Greece.
| | - Christos Kittas
- Department of Histopathology, Biomedicine Group of Health Company, 15626, Athens, Greece
- Medical School, National and Kapodistrian University of Athens, 11527, Goudi, Athens, Greece
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Capasso M, Brignole C, Lasorsa VA, Bensa V, Cantalupo S, Sebastiani E, Quattrone A, Ciampi E, Avitabile M, Sementa AR, Mazzocco K, Cafferata B, Gaggero G, Vellone VG, Cilli M, Calarco E, Giusto E, Perri P, Aveic S, Fruci D, Tondo A, Luksch R, Mura R, Rabusin M, De Leonardis F, Cellini M, Coccia P, Iolascon A, Corrias MV, Conte M, Garaventa A, Amoroso L, Ponzoni M, Pastorino F. From the identification of actionable molecular targets to the generation of faithful neuroblastoma patient-derived preclinical models. J Transl Med 2024; 22:151. [PMID: 38351008 PMCID: PMC10863144 DOI: 10.1186/s12967-024-04954-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 02/03/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Neuroblastoma (NB) represents the most frequent and aggressive form of extracranial solid tumor of infants. Although the overall survival of patients with NB has improved in the last years, more than 50% of high-risk patients still undergo a relapse. Thus, in the era of precision/personalized medicine, the need for high-risk NB patient-specific therapies is urgent. METHODS Within the PeRsonalizEd Medicine (PREME) program, patient-derived NB tumors and bone marrow (BM)-infiltrating NB cells, derived from either iliac crests or tumor bone lesions, underwent to histological and to flow cytometry immunophenotyping, respectively. BM samples containing a NB cells infiltration from 1 to 50 percent, underwent to a subsequent NB cells enrichment using immune-magnetic manipulation. Then, NB samples were used for the identification of actionable targets and for the generation of 3D/tumor-spheres and Patient-Derived Xenografts (PDX) and Cell PDX (CPDX) preclinical models. RESULTS Eighty-four percent of NB-patients showed potentially therapeutically targetable somatic alterations (including point mutations, copy number variations and mRNA over-expression). Sixty-six percent of samples showed alterations, graded as "very high priority", that are validated to be directly targetable by an approved drug or an investigational agent. A molecular targeted therapy was applied for four patients, while a genetic counseling was suggested to two patients having one pathogenic germline variant in known cancer predisposition genes. Out of eleven samples implanted in mice, five gave rise to (C)PDX, all preserved in a local PDX Bio-bank. Interestingly, comparing all molecular alterations and histological and immunophenotypic features among the original patient's tumors and PDX/CPDX up to second generation, a high grade of similarity was observed. Notably, also 3D models conserved immunophenotypic features and molecular alterations of the original tumors. CONCLUSIONS PREME confirms the possibility of identifying targetable genomic alterations in NB, indeed, a molecular targeted therapy was applied to four NB patients. PREME paves the way to the creation of clinically relevant repositories of faithful patient-derived (C)PDX and 3D models, on which testing precision, NB standard-of-care and experimental medicines.
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Affiliation(s)
- Mario Capasso
- Department of Medical Biotechnology, University of Naples Federico II, 80138, Naples, Italy
- CEINGE Advanced Biotecnology, 80138, Naples, Italy
| | - Chiara Brignole
- Laboratory of Experimental Therapies in Oncology, IRCCS Istituto Giannina Gaslini, Via G. Gaslini 5, 16147, Genoa, Italy
| | | | - Veronica Bensa
- Laboratory of Experimental Therapies in Oncology, IRCCS Istituto Giannina Gaslini, Via G. Gaslini 5, 16147, Genoa, Italy
| | - Sueva Cantalupo
- Department of Medical Biotechnology, University of Naples Federico II, 80138, Naples, Italy
- CEINGE Advanced Biotecnology, 80138, Naples, Italy
| | | | | | - Eleonora Ciampi
- Laboratory of Experimental Therapies in Oncology, IRCCS Istituto Giannina Gaslini, Via G. Gaslini 5, 16147, Genoa, Italy
| | - Marianna Avitabile
- Department of Medical Biotechnology, University of Naples Federico II, 80138, Naples, Italy
- CEINGE Advanced Biotecnology, 80138, Naples, Italy
| | - Angela R Sementa
- Pathological Anatomy, IRCCS Istituto Giannina Gaslini, 16147, Genoa, Italy
| | - Katia Mazzocco
- Pathological Anatomy, IRCCS Istituto Giannina Gaslini, 16147, Genoa, Italy
| | - Barbara Cafferata
- Pathological Anatomy, IRCCS Istituto Giannina Gaslini, 16147, Genoa, Italy
| | - Gabriele Gaggero
- Pathological Anatomy, IRCCS Istituto Giannina Gaslini, 16147, Genoa, Italy
| | - Valerio G Vellone
- Pathological Anatomy, IRCCS Istituto Giannina Gaslini, 16147, Genoa, Italy
| | - Michele Cilli
- Animal Facility, IRCCS Policlinico San Martino, 16100, Genoa, Italy
| | - Enzo Calarco
- Laboratory of Experimental Therapies in Oncology, IRCCS Istituto Giannina Gaslini, Via G. Gaslini 5, 16147, Genoa, Italy
| | - Elena Giusto
- Laboratory of Experimental Therapies in Oncology, IRCCS Istituto Giannina Gaslini, Via G. Gaslini 5, 16147, Genoa, Italy
| | - Patrizia Perri
- Laboratory of Experimental Therapies in Oncology, IRCCS Istituto Giannina Gaslini, Via G. Gaslini 5, 16147, Genoa, Italy
| | - Sanja Aveic
- Pediatric Research Institute Città Della Speranza, 35127, Padua, Italy
| | - Doriana Fruci
- Department of Emato-Oncology, Bambino Gesù Children's Hospital, 00146, -Rome, Italy
| | - Annalisa Tondo
- Department of Emato-Oncology, Anna Meyer Children's Hospital, 50139, Florence, Italy
| | - Roberto Luksch
- Emato-Oncology Unit, Fondazione IRCCS Istituto Nazionale Dei Tumori, 20133, Milan, Italy
| | - Rossella Mura
- Emato-Oncology Unit, Azienda Ospedaliera Brotzu, 09047, Cagliari, Italy
| | - Marco Rabusin
- Pediatric Department, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137, Trieste, Italy
| | | | - Monica Cellini
- Emato-Oncology Unit, University-Hospital Polyclinic of Modena, 41124, Modena, Italy
| | - Paola Coccia
- University-Hospital of Marche, Presidio Ospedaliero "G. Salesi", 60126, Ancona, Italy
| | - Achille Iolascon
- Department of Medical Biotechnology, University of Naples Federico II, 80138, Naples, Italy
- CEINGE Advanced Biotecnology, 80138, Naples, Italy
| | - Maria V Corrias
- Laboratory of Experimental Therapies in Oncology, IRCCS Istituto Giannina Gaslini, Via G. Gaslini 5, 16147, Genoa, Italy
| | - Massimo Conte
- Clinical Oncology Unit, IRCCS Istituto Giannina Gaslini, 16147, -Genoa, Italy
| | - Alberto Garaventa
- Clinical Oncology Unit, IRCCS Istituto Giannina Gaslini, 16147, -Genoa, Italy
| | - Loredana Amoroso
- Clinical Oncology Unit, IRCCS Istituto Giannina Gaslini, 16147, -Genoa, Italy
| | - Mirco Ponzoni
- Laboratory of Experimental Therapies in Oncology, IRCCS Istituto Giannina Gaslini, Via G. Gaslini 5, 16147, Genoa, Italy.
| | - Fabio Pastorino
- Laboratory of Experimental Therapies in Oncology, IRCCS Istituto Giannina Gaslini, Via G. Gaslini 5, 16147, Genoa, Italy
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Benguigui M, Cooper TJ, Kalkar P, Schif-Zuck S, Halaban R, Bacchiocchi A, Kamer I, Deo A, Manobla B, Menachem R, Haj-Shomaly J, Vorontsova A, Raviv Z, Buxbaum C, Christopoulos P, Bar J, Lotem M, Sznol M, Ariel A, Shen-Orr SS, Shaked Y. Interferon-stimulated neutrophils as a predictor of immunotherapy response. Cancer Cell 2024; 42:253-265.e12. [PMID: 38181798 PMCID: PMC10864002 DOI: 10.1016/j.ccell.2023.12.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 06/02/2023] [Accepted: 12/07/2023] [Indexed: 01/07/2024]
Abstract
Despite the remarkable success of anti-cancer immunotherapy, its effectiveness remains confined to a subset of patients-emphasizing the importance of predictive biomarkers in clinical decision-making and further mechanistic understanding of treatment response. Current biomarkers, however, lack the power required to accurately stratify patients. Here, we identify interferon-stimulated, Ly6Ehi neutrophils as a blood-borne biomarker of anti-PD1 response in mice at baseline. Ly6Ehi neutrophils are induced by tumor-intrinsic activation of the STING (stimulator of interferon genes) signaling pathway and possess the ability to directly sensitize otherwise non-responsive tumors to anti-PD1 therapy, in part through IL12b-dependent activation of cytotoxic T cells. By translating our pre-clinical findings to a cohort of patients with non-small cell lung cancer and melanoma (n = 109), and to public data (n = 1440), we demonstrate the ability of Ly6Ehi neutrophils to predict immunotherapy response in humans with high accuracy (average AUC ≈ 0.9). Overall, our study identifies a functionally active biomarker for use in both mice and humans.
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Affiliation(s)
- Madeleine Benguigui
- Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel; Rappaport Technion Integrated Cancer Center, Technion - Israel Institute of Technology, Haifa, Israel
| | - Tim J Cooper
- Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel; Rappaport Technion Integrated Cancer Center, Technion - Israel Institute of Technology, Haifa, Israel; Department of Immunology, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
| | - Prajakta Kalkar
- Department of Human Biology, the Faculty of Natural Sciences, University of Haifa, Haifa, Israel
| | - Sagie Schif-Zuck
- Department of Human Biology, the Faculty of Natural Sciences, University of Haifa, Haifa, Israel
| | - Ruth Halaban
- Department of Dermatology, Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA
| | - Antonella Bacchiocchi
- Department of Dermatology, Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA
| | - Iris Kamer
- Institute of Oncology, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
| | - Abhilash Deo
- Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel; Rappaport Technion Integrated Cancer Center, Technion - Israel Institute of Technology, Haifa, Israel
| | - Bar Manobla
- Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel; Rappaport Technion Integrated Cancer Center, Technion - Israel Institute of Technology, Haifa, Israel
| | - Rotem Menachem
- Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel; Rappaport Technion Integrated Cancer Center, Technion - Israel Institute of Technology, Haifa, Israel
| | - Jozafina Haj-Shomaly
- Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel; Rappaport Technion Integrated Cancer Center, Technion - Israel Institute of Technology, Haifa, Israel
| | - Avital Vorontsova
- Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel; Rappaport Technion Integrated Cancer Center, Technion - Israel Institute of Technology, Haifa, Israel
| | - Ziv Raviv
- Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel; Rappaport Technion Integrated Cancer Center, Technion - Israel Institute of Technology, Haifa, Israel
| | - Chen Buxbaum
- Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel; Rappaport Technion Integrated Cancer Center, Technion - Israel Institute of Technology, Haifa, Israel
| | - Petros Christopoulos
- Department of Thoracic Oncology, Thoraxklinik and National Center for Tumor Diseases (NCT) at Heidelberg University Hospital, 69126 Heidelberg, Germany; Translational Lung Research Center Heidelberg, Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Jair Bar
- Institute of Oncology, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel; Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Michal Lotem
- Department of Melanoma and Cancer Immunotherapy, Sharett Institute of Oncology, Hadassah Hebrew University Medical Center, Jerusalem, Israel
| | - Mario Sznol
- Department of Medicine, Division of Medical Oncology, Yale University School of Medicine, New Haven, CT, USA
| | - Amiram Ariel
- Department of Human Biology, the Faculty of Natural Sciences, University of Haifa, Haifa, Israel
| | - Shai S Shen-Orr
- Rappaport Technion Integrated Cancer Center, Technion - Israel Institute of Technology, Haifa, Israel; Department of Immunology, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Yuval Shaked
- Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel; Rappaport Technion Integrated Cancer Center, Technion - Israel Institute of Technology, Haifa, Israel.
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Huang Y, Du Z, Kan A, He M, Li H, Lai Z, Wen D, Huang L, Li Q, Xu L, Shi M. Clinical and biomarker analyses of hepatic arterial infusion chemotherapy plus lenvatinib and PD-1 inhibitor for patients with advanced intrahepatic cholangiocarcinoma. Front Immunol 2024; 15:1260191. [PMID: 38384459 PMCID: PMC10880187 DOI: 10.3389/fimmu.2024.1260191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 01/15/2024] [Indexed: 02/23/2024] Open
Abstract
Background Intrahepatic cholangiocarcinoma (iCCA) is a highly aggressive cancer with a dismal prognosis and few effective therapeutic approaches. This study aimed to investigate the efficacy, safety, and predictive biomarkers of hepatic arterial infusion chemotherapy (FOLFOX-HAIC) in combination with lenvatinib and PD-1 inhibitor for patients with advanced iCCA. Methods Locally advanced or metastatic iCCA patients receiving the triple combination therapy of lenvatinib, PD-1 inhibitor, and FOLFOX-HAIC were included in this retrospective study. Primary endpoint was the progression-free survival, evaluated using the RECIST criterion. The secondary endpoints included overall survival, objective response rate, and safety. Whole exome and RNA sequencing of tumor biopsy tissues were performed for biomarker exploration. Results Between May, 2019 and December 2022, a total of 46 patients were included in this study. The primary endpoint showed a median progression-free survival of 9.40 months (95% CI: 5.28-13.52), with a 6-month progression-free survival rate of 76.1%. The median overall survival was 16.77 months (95% CI, 14.20-19.33), with an objective response rate of 47.8% and disease control rate of 91.3% per RECIST. In addition, 4.3% and 8.7% of patients achieved complete response of all lesions and intrahepatic target lesions per mRECIST, respectively. The most common treatment-related adverse events were neutropenia, thrombocytopenia, elevated aspartate aminotransferase and alanine aminotransferase level. Furthermore, integrated analysis of genetic, transcriptomic, and immunohistochemistry data revealed that pre-existing immunity (high expression level of immune-related signatures and intra-tumoral CD8+ T cell density) in baseline tumor tissues was associated with superior clinical benefits. However, the evaluation of tumor mutation burden did not show potential predictive value in this triple combination. Conclusion FOLFOX-HAIC in combination with lenvatinib and PD-1 inhibitor demonstrated a promising antitumor activity with manageable safety profiles in patients with advanced iCCA. Moreover, our study also revealed new perspectives on potential biomarkers for clinical efficacy.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Li Xu
- Department of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Ming Shi
- Department of Hepatobiliary Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
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YE XING, TUO ZHOUTING, CHEN KAI, WU RUICHENG, WANG JIE, YU QINGXIN, YE LUXIA, MIYAMOTO AKIRA, YOO KOOHAN, ZHANG CHI, WEI WURAN, LI DENGXIONG, FENG DECHAO. Pan-cancer analysis of RNA 5-methylcytosine reader (ALYREF). Oncol Res 2024; 32:503-515. [PMID: 38361753 PMCID: PMC10865740 DOI: 10.32604/or.2024.045050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 12/01/2023] [Indexed: 02/17/2024] Open
Abstract
The increasing interest in RNA modifications has significantly advanced epigenomic and epitranscriptomic technologies. This study focuses on the immuno-oncological impact of ALYREF in human cancer through a pan-cancer analysis, enhancing understanding of this gene's role in cancer. We observed differential ALYREF expression between tumor and normal samples, correlating strongly with prognosis in various cancers, particularly kidney renal papillary cell carcinoma (KIRP) and liver hepatocellular carcinoma (LIHC). ALYREF showed a negative correlation with most tumor-infiltrating cells in lung squamous cell carcinoma (LUSC) and lymphoid neoplasm diffuse large B-cell lymphoma (DLBC), while positive correlations were noted in LIHC, kidney chromophobe (KICH), mesothelioma (MESO), KIRP, pheochromocytoma and paraganglioma (PARD), and glioma (GBMLGG). Additionally, ALYREF expression was closely associated with tumor heterogeneity, stemness indices, and a high mutation rate in TP53 across these cancers. In conclusion, ALYREF may serve as an oncogenic biomarker in numerous cancers, meriting further research attention.
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Affiliation(s)
- XING YE
- Samuel Oschin Comprehensive Cancer Institute, Department of Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
| | - ZHOUTING TUO
- Department of Urology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China
| | - KAI CHEN
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - RUICHENG WU
- 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
| | - QINGXIN YU
- Department of Pathology, Ningbo Diagnostic Pathology Center, Ningbo, 315021, China
| | - LUXIA YE
- Department of Public Research Platform, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, 317000, China
| | - AKIRA MIYAMOTO
- Department of Rehabilitation, West Kyushu University, Kanzaki-shi, 842-8585, Japan
| | - KOO HAN YOO
- Department of Urology, Kyung Hee University, Seoul, 446 701, South Korea
| | - CHI ZHANG
- Department of Rehabilitation, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China
| | - WURAN WEI
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - DENGXIONG LI
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - DECHAO FENG
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
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Wu B, Zhang X, Feng N, Guo Z, Gao L, Wan Z, Zhang W. Prognostic value and immune landscapes of anoikis-associated lncRNAs in lung adenocarcinoma. Aging (Albany NY) 2024; 16:2273-2298. [PMID: 38319706 PMCID: PMC10911388 DOI: 10.18632/aging.205481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 12/19/2023] [Indexed: 02/07/2024]
Abstract
BACKGROUND Methods for predicting the outcome of lung adenocarcinoma (LUAD) in the clinic are limited. Anoikis is an important route to programmed cell death in LUAD, and the prognostic value of a model constructed with anoikis-related lncRNAs (ARlncRNAs) in LUAD is unclear. METHODS Transcriptome and basic information for LUAD patients was obtained from the Cancer Genome Atlas. Coexpression and Cox regression analyses were utilized to identify prognostically significant ARlncRNAs and construct a prognostic signature. Furthermore, the signature was combined with clinical characteristics to create a nomogram. Finally, we performed principal component, enrichment, tumor mutation burden (TMB), tumor microenvironment (TME) and drug sensitivity analyses to evaluate the basic research and clinical merit of the signature. RESULTS The prognostic signature developed with eleven ARlncRNAs can accurately predict that high-risk group patients have a worse prognosis, as proven by the receiver operating characteristic (ROC) curve (AUC: 0.718). Independent prognostic analyses indicated that the risk score is a significant independent prognostic element for LUAD (P<0.001). In the high-risk group, enrichment analysis demonstrated that glucose metabolism and DNA replication were the main enrichment pathways. TMB analysis indicated that the high-risk group had a high TMB (P<0.05). Drug sensitivity analyses can recognize drugs that are sensitive to different risk groups. Finally, 11 ARlncRNAs of this signature were verified by RT-qPCR analysis. CONCLUSIONS A novel prognostic signature developed with 11 ARlncRNAs can accurately predict the OS of LUAD patients and offer clinical guidance value for immunotherapy and chemotherapy treatment.
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Affiliation(s)
- Bo Wu
- Department of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, China
| | - Xiang Zhang
- Department of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, China
| | - Nan Feng
- Department of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, China
| | - Zishun Guo
- Department of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, China
| | - Lu Gao
- Department of Thoracic Surgery, Baoding No.1 Central Hospital, Baoding 071000, China
| | - Zhihua Wan
- Department of Thoracic Surgery, Baoding No.1 Central Hospital, Baoding 071000, China
| | - Wenxiong Zhang
- Department of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, China
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Li R, Yan L, Jiu J, Liu H, Li D, Li X, Zhang J, Li S, Fan Z, Lv Z, Zhu Y, Wang B. PSME2 offers value as a biomarker of M1 macrophage infiltration in pan-cancer and inhibits osteosarcoma malignant phenotypes. Int J Biol Sci 2024; 20:1452-1470. [PMID: 38385075 PMCID: PMC10878157 DOI: 10.7150/ijbs.90226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 01/19/2024] [Indexed: 02/23/2024] Open
Abstract
A growing number of studies have revealed an association between proteasome activator complex subunit 2 (PSME2) and the progression of various forms of cancer. However, the effect of PSME2 on osteosarcoma progression is unknown. Pan-cancer analyses focused on the immunological activity and prognostic relevance of PSME2 have yet to be conducted. The Cancer Genome Atlas and Genome-Tissue Expression databases were leveraged to evaluate PSME2 expression and activity across 33 cancer types. Significant PSME2 dysregulation was noted in a wide range of cancer types and this gene was found to offer significant diagnostic and prognostic utility in most analyzed cancers. From a mechanistic perspective, PSME2 expression levels were correlated with DNA methylation, DNA repair, genomic instability, and TME scores in multiple cancer types. PSME2 was subsequently established as a pan-cancer biomarker of M1 macrophage infiltration based on a combination of bulk, single-cell, and spatial transcriptomic data and confirmatory fluorescent staining results. In osteosarcoma cells, overexpressing PSME2 significantly suppressed tumor proliferative, migratory, and invasive activity. Screening efforts also successfully identified the PSME2-activating drug irinotecan, which can synergistically promote the death of osteosarcoma cells when combined with the chemotherapeutic drug paclitaxel. As a biomarker of M1 macrophage infiltration, PSME2 expression levels may offer insight into tumor development and progression for a wide range of cancers including osteosarcoma, emphasizing its potential utility as a prognostic and therapeutic target worthy of further study.
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Affiliation(s)
- Ruoqi Li
- Department of Orthopaedic Surgery, The First Affliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- General Surgery Department, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, Shanxi, China
| | - Lei Yan
- Department of orthopedics, The Second Hospital of Shanxi Medical University, Shanxi Key laboratory of Bone and Soft Tissue injury repair, 382 Wuyi Road, Taiyuan, Shanxi, China
| | - Jingwei Jiu
- Department of orthopedics, The Second Hospital of Shanxi Medical University, Shanxi Key laboratory of Bone and Soft Tissue injury repair, 382 Wuyi Road, Taiyuan, Shanxi, China
| | - Haifeng Liu
- Department of orthopedics, The Second Hospital of Shanxi Medical University, Shanxi Key laboratory of Bone and Soft Tissue injury repair, 382 Wuyi Road, Taiyuan, Shanxi, China
| | - Dijun Li
- Department of orthopedics, The Second Hospital of Shanxi Medical University, Shanxi Key laboratory of Bone and Soft Tissue injury repair, 382 Wuyi Road, Taiyuan, Shanxi, China
| | - Xiaoke Li
- Department of orthopedics, The Second Hospital of Shanxi Medical University, Shanxi Key laboratory of Bone and Soft Tissue injury repair, 382 Wuyi Road, Taiyuan, Shanxi, China
| | - Jing Zhang
- Department of Emergency, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou 550001, China
- Clinical College of Medicine, Guizhou Medical University, Guiyang, Guizhou 550025, China
| | - Songyan Li
- Department of Orthopaedic Surgery, The First Affliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zijuan Fan
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Shanxi, China
| | - Zhi Lv
- Department of orthopedics, The Second Hospital of Shanxi Medical University, Shanxi Key laboratory of Bone and Soft Tissue injury repair, 382 Wuyi Road, Taiyuan, Shanxi, China
| | - Yuanyuan Zhu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Bin Wang
- Department of Orthopaedic Surgery, The First Affliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Chen W, Kang Y, Sheng W, Huang Q, Cheng J, Pei S, Meng Y. A new 4-gene-based prognostic model accurately predicts breast cancer prognosis and immunotherapy response by integrating WGCNA and bioinformatics analysis. Front Immunol 2024; 15:1331841. [PMID: 38370403 PMCID: PMC10869553 DOI: 10.3389/fimmu.2024.1331841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 01/17/2024] [Indexed: 02/20/2024] Open
Abstract
Background Breast cancer (BRCA) is a common malignancy in women, and its resistance to immunotherapy is a major challenge. Abnormal expression of genes is important in the occurrence and development of BRCA and may also affect the prognosis of patients. Although many BRCA prognosis model scores have been developed, they are only applicable to a limited number of disease subtypes. Our goal is to develop a new prognostic score that is more accurate and applicable to a wider range of BRCA patients. Methods BRCA patient data from The Cancer Genome Atlas database was used to identify breast cancer-related genes (BRGs). Differential expression analysis of BRGs was performed using the 'limma' package in R. Prognostic BRGs were identified using co-expression and univariate Cox analysis. A predictive model of four BRGs was established using Cox regression and the LASSO algorithm. Model performance was evaluated using K-M survival and receiver operating characteristic curve analysis. The predictive ability of the signature in immune microenvironment and immunotherapy was investigated. In vitro experiments validated POLQ function. Results Our study identified a four-BRG prognostic signature that outperformed conventional clinicopathological characteristics in predicting survival outcomes in BRCA patients. The signature effectively stratified BRCA patients into high- and low-risk groups and showed potential in predicting the response to immunotherapy. Notably, significant differences were observed in immune cell abundance between the two groups. In vitro experiments demonstrated that POLQ knockdown significantly reduced the viability, proliferation, and invasion capacity of MDA-MB-231 or HCC1806 cells. Conclusion Our 4-BRG signature has the potential as an independent biomarker for predicting prognosis and treatment response in BRCA patients, complementing existing clinicopathological characteristics.
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Affiliation(s)
- Wenlong Chen
- Department of Thyroid and Breast Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Yakun Kang
- Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wenyi Sheng
- Department of Thyroid and Breast Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Qiyan Huang
- Department of Thyroid and Breast Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Jiale Cheng
- Department of Thyroid and Breast Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Shengbin Pei
- Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - You Meng
- Department of Thyroid and Breast Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
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Esposito Abate R, Pasquale R, Sacco A, Simeon V, Maiello MR, Frezzetti D, Chiodini P, Normanno N. Harmonization of tumor mutation burden testing with comprehensive genomic profiling assays: an IQN Path initiative. J Immunother Cancer 2024; 12:e007800. [PMID: 38309725 PMCID: PMC10840060 DOI: 10.1136/jitc-2023-007800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/29/2023] [Indexed: 02/05/2024] Open
Abstract
BACKGROUND Although conflicting results emerged from different studies, the tumor mutational burden (TMB) appears as one of most reliable biomarkers of sensitivity to immune checkpoint inhibitors. Several laboratories are reporting TMB values when performing comprehensive genomic profiling (CGP) without providing a clinical interpretation, due to the lack of validated cut-off values. The International Quality Network for Pathology launched an initiative to harmonize TMB testing with CGP assay and favor the clinical implementation of this biomarker. METHODS TMB evaluation was performed with three commercially available CGP panels, TruSight Oncology 500 (TSO500), Oncomine Comprehensive Plus Assay (OCA) and QIAseq Multimodal Panel (QIA), versus the reference assay FoundationOne CDx (F1CDx). Archived clinical samples derived from 60 patients with non-small cell lung cancer were used for TMB assessment. Adjusted cut-off values for each panel were calculated. RESULTS Testing was successful for 91.7%, 100%, 96.7% and 100% of cases using F1CDx, TSO500, OCA and QIA, respectively. The matrix comparison analysis, between the F1CDx and CGP assays, showed a linear correlation for all three panels, with a higher correlation between F1CDx and TSO500 (rho=0.88) than in the other two comparisons (rho=0.77 for QIA; 0.72 for OCA). The TSO500 showed the best area under the curve (AUC, value 0.96), with a statistically significant difference when compared with the AUC of OCA (0.83, p value=0.01) and QIA (0.88, p value=0.028). The Youden Index calculation allowed us to extrapolate TMB cut-offs of the different panels corresponding to the 10 mutations/megabase (muts/Mb) cut-off of F1CDx: 10.19, 10.4 and 12.37 muts/Mb for TSO500, OCA and QIA, respectively. Using these values, we calculated the relative accuracy measures for the three panels. TSO500 showed 86% specificity and 96% sensitivity, while OCA and QIA had lower yet similar values of specificity and sensitivity (73% and 88%, respectively). CONCLUSION This study estimated TMB cut-off values for commercially available CGP panels. The results showed a good performance of all panels on clinical samples and the calculated cut-offs support better accuracy measures for TSO500. The validated cut-off values can drive clinical interpretation of TMB testing in clinical research and clinical practice.
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Affiliation(s)
- Riziero Esposito Abate
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G.Pascale, Napoli, Italy
| | | | - Alessandra Sacco
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G.Pascale, Napoli, Italy
| | - Vittorio Simeon
- Medical Statistics Unit, Department of Mental Health and Public Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Italy
| | - Monica Rosaria Maiello
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G.Pascale, Napoli, Italy
| | - Daniela Frezzetti
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G.Pascale, Napoli, Italy
| | - Paolo Chiodini
- Medical Statistics Unit, Department of Mental Health and Public Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Italy
| | - Nicola Normanno
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G.Pascale, Napoli, Italy
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Jiang Y, Hu X, Wang Z, Zhang Q, Chen D, Zhao P. RPTOR mutation: a novel predictor of efficacious immunotherapy in melanoma. Invest New Drugs 2024; 42:60-69. [PMID: 38071684 DOI: 10.1007/s10637-023-01413-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 11/14/2023] [Indexed: 02/24/2024]
Abstract
Identifying biomarkers to evaluate the therapeutic effect of immune checkpoint inhibitors (ICIs) is crucial. Regulatory Associated Protein of MTOR Complex 1 (RPTOR), one of the genes in the mTOR pathway, plays a role in regulating tumor progression. However, the connection between RPTOR mutation and the efficacy of ICIs in melanoma remains unclear. The data of ICIs-treated melanoma patients in discovery (n = 384) and validation (n = 320) cohorts were obtained from cBioPortal databases. The genomic data in the two cohorts was used to investigate the connection between RPTOR mutation and immunotherapy efficacy. The underlying mechanisms were explored based on data from the The Cancer Genome Atlas (TCGA)-skin cutaneous melanoma (SKCM) cohort. Compared to melanoma patients with RPTOR wildtype (RPTOR-WT), RPTOR-mutation (RPTOR-Mut) patients achieved prolonged overall survival (OS) in both discovery cohort (median OS of 49.3 months vs. 21.7 months; HR = 0.41, 95% CI: 0.18-0.92; P = 0.026) and validation cohorts (not reached vs. 42.0 months; HR = 0.34, 95% CI: 0.11-1.06; P = 0.049). RPTOR-Mut melanoma patients exhibited a higher objective response rate (ORR) than RPTOR-WT patients in the discovery cohort (55.0% vs. 29.0%, P = 0.022). RPTOR-Mut patients exhibited higher TMB than RPTOR-WT patients in both discovery and validation cohorts (P < 0.001). RPTOR-Mut melanoma patients had an increased number of DNA damage response (DDR) mutations in TCGA-SKCM cohort. Immune cell infiltration analysis suggested that activated CD4 memory T cells were more enriched in RPTOR-Mut tumors. RPTOR-Mut melanoma patients had higher expression levels of immune-related genes than the RPTOR-WT patients. Our results suggest that RPTOR mutation could serve as a predictor of effective immunotherapy for melanoma.
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Affiliation(s)
- Yanfang Jiang
- Genetic Diagnosis Center, The First Hospital of Jilin University, Changchun, 130021, China
| | - Xintong Hu
- Genetic Diagnosis Center, The First Hospital of Jilin University, Changchun, 130021, China
| | - Zhouyu Wang
- Jiangsu Simcere Diagnostics Co.,Ltd, The State Key Laboratory of Neurology and Oncology Drug Development, Nanjing, 210002, China
| | - Qin Zhang
- Jiangsu Simcere Diagnostics Co.,Ltd, The State Key Laboratory of Neurology and Oncology Drug Development, Nanjing, 210002, China
| | - Dongsheng Chen
- Jiangsu Simcere Diagnostics Co.,Ltd, The State Key Laboratory of Neurology and Oncology Drug Development, Nanjing, 210002, China.
| | - Pingwei Zhao
- General Surgery Center, The First Hospital of Jilin University, Changchun, 130021, China.
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