1
|
Li J, Tang Y, Long F, Tian L, Tang A, Ding L, Chen J, Liu M. Integrating bulk RNA-seq and scRNA-seq analyses revealed the function and clinical value of thrombospondins in colon cancer. Comput Struct Biotechnol J 2024; 23:2251-2266. [PMID: 38827236 PMCID: PMC11140486 DOI: 10.1016/j.csbj.2024.05.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 05/10/2024] [Accepted: 05/13/2024] [Indexed: 06/04/2024] Open
Abstract
Background Acting as mediators in cell-matrix and cell-cell communication, matricellular proteins play a crucial role in cancer progression. Thrombospondins (TSPs), a type of matricellular glycoproteins, are key regulators in cancer biology with multifaceted roles. Although TSPs have been implicated in anti-tumor immunity and epithelial-mesenchymal transition (EMT) in several malignancies, their specific roles to colon cancer remain elusive. Addressing this knowledge gap is essential, as understanding the function of TSPs in colon cancer could identify new therapeutic targets and prognostic markers. Methods Analyzing 1981 samples from 10 high-throughput datasets, including six bulk RNA-seq, three scRNA-seq, and one spatial transcriptome dataset, our study investigated the prognostic relevance, risk stratification value, immune heterogeneity, and cellular origin of TSPs, as well as their influence on cancer-associated fibroblasts (CAFs). Utilizing survival analysis, unsupervised clustering, and functional enrichment, along with multiple correlation analyses of the tumor-microenvironment (TME) via Gene Set Variation Analysis (GSVA), spatial localization, Monocle2, and CellPhoneDB, we provided insights into the clinical and cellular implications of TSPs. Results First, we observed significant upregulation of THBS2 and COMP in colon cancer, both of which displayed significant prognostic value. Additionally, we detected a significant positive correlation between TSPs and immune cells, as well as marker genes of EMT. Second, based on TSPs expression, patients were divided into two clusters with distinct prognoses: the high TSPs expression group (TSPs-H) was characterized by pronounced immune and stromal cell infiltration, and notably elevated T-cell exhaustion scores. Subsequently, we found that THBS2 and COMP may be associated with the differentiation of CAFs into pan-iCAFs and pan-dCAFs, which are known for their heightened matrix remodeling activities. Moreover, THBS2 enhanced CAFs communication with vascular endothelial cells and monocyte-macrophages. CAFs expressing THBS2 (THBS2+ CAFs) demonstrated higher scores across multiple signaling pathways, including angiogenic, EMT, Hedgehog, Notch, Wnt, and TGF-β, when compared to THBS2- CAFs. These observations suggest that THBS2 may be associated with stronger pro-carcinogenic activity in CAFs. Conclusions This study revealed the crucial role of TSPs and the significant correlation between THBS2 and CAFs interactions in colon cancer progression, providing valuable insights for targeting TSPs to mitigate cancer progression.
Collapse
Affiliation(s)
- Jing Li
- Key Laboratory of Clinical Laboratory Diagnostics, College of Laboratory Medicine, Chongqing Medical University, Chongqing 400046, China
| | - Ying Tang
- Key Laboratory of Clinical Laboratory Diagnostics, College of Laboratory Medicine, Chongqing Medical University, Chongqing 400046, China
- Medical Laboratory, People's Hospital of Qingbaijiang District, Chengdu 61300, China
| | - Fei Long
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Luyao Tian
- Key Laboratory of Clinical Laboratory Diagnostics, College of Laboratory Medicine, Chongqing Medical University, Chongqing 400046, China
| | - Ao Tang
- Key Laboratory of Clinical Laboratory Diagnostics, College of Laboratory Medicine, Chongqing Medical University, Chongqing 400046, China
| | - LiHui Ding
- Key Laboratory of Clinical Laboratory Diagnostics, College of Laboratory Medicine, Chongqing Medical University, Chongqing 400046, China
| | - Juan Chen
- Key Laboratory of Clinical Laboratory Diagnostics, College of Laboratory Medicine, Chongqing Medical University, Chongqing 400046, China
| | - Mingwei Liu
- Key Laboratory of Clinical Laboratory Diagnostics, College of Laboratory Medicine, Chongqing Medical University, Chongqing 400046, China
| |
Collapse
|
2
|
Sun Y, Yinwang E, Wang S, Wang Z, Wang F, Xue Y, Zhang W, Zhao S, Mou H, Chen S, Jin L, Li B, Ye Z. Phenotypic and spatial heterogeneity of CD8 + tumour infiltrating lymphocytes. Mol Cancer 2024; 23:193. [PMID: 39251981 PMCID: PMC11382426 DOI: 10.1186/s12943-024-02104-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 08/30/2024] [Indexed: 09/11/2024] Open
Abstract
CD8+ T cells are the workhorses executing adaptive anti-tumour response, and targets of various cancer immunotherapies. Latest advances have unearthed the sheer heterogeneity of CD8+ tumour infiltrating lymphocytes, and made it increasingly clear that the bulk of the endogenous and therapeutically induced tumour-suppressive momentum hinges on a particular selection of CD8+ T cells with advantageous attributes, namely the memory and stem-like exhausted subsets. A scrutiny of the contemporary perception of CD8+ T cells in cancer and the subgroups of interest along with the factors arbitrating their infiltration contextures, presented herein, may serve as the groundwork for future endeavours to probe further into the regulatory networks underlying their differentiation and migration, and optimise T cell-based immunotherapies accordingly.
Collapse
Affiliation(s)
- Yikan Sun
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Eloy Yinwang
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Shengdong Wang
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Zenan Wang
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Fangqian Wang
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Yucheng Xue
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Wenkan Zhang
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Shenzhi Zhao
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Haochen Mou
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Shixin Chen
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Lingxiao Jin
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China
| | - Binghao Li
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China.
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China.
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China.
| | - Zhaoming Ye
- Department of Orthopedic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
- Orthopedics Research Institute of Zhejiang University, Hangzhou, Zhejiang, China.
- Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou, Zhejiang, China.
- Department of Orthopedics, Musculoskeletal Tumor Center, The Second Affiliated Hospital of Zhejiang, University School of Medicine, Hangzhou, 310009, China.
| |
Collapse
|
3
|
Naumov SS, Tashireva LA, Krakhmal NV, Vtorushin SV. Evaluation of immune-checkpoint molecules in dMMR/pMMR colorectal cancer by multiplex immunohistochemistry. Clin Transl Oncol 2024:10.1007/s12094-024-03691-2. [PMID: 39240301 DOI: 10.1007/s12094-024-03691-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Accepted: 08/21/2024] [Indexed: 09/07/2024]
Abstract
PURPOSE Colorectal cancer is the most common malignancy worldwide. A number of pathological and molecular genetic criteria are currently used as predictors of the disease. They include assessment of MMR deficiency or MSI/MSS status, which among others, determine the immunogenicity of the tumor. In this regard, the evaluation of PD-L1, CTLA-4, and LAG-3 immune checkpoint molecules in different tumor compartments according to MMR status deserves special attention. METHODS Multiplex immunohistochemistry was used to evaluate the expression of immune checkpoint molecules in the tumor core and at the invasive margin. RESULTS Data analysis showed the predominance of PD-L1 (p = 0.011), CTLA-4 (p = 0.004), and LAG-3 (p = 0.013) expression at the invasive margin of dMMR carcinomas compared to pMMR samples. Quantitative analysis of TILs population in the tumor core and at the invasive margin allowed establishment of the predominance of CD3+ and CD8+ lymphocytes at the invasive margin of dMMR carcinomas. Study of the CD163+ macrophages population in the same tumor compartments revealed the predominance of the studied TAMs in the core and at the invasive margin of dMMR carcinomas and the predominance of CD163+ macrophages with PD-L1-phenotype in the tumor stroma. CONCLUSION This study revealed a significant predominance of PD-L1, CTLA-4, LAG-3, and CD 3+ ,CD8+ lymphocytes in dMMR colorectal carcinomas. Further research on the immune landscape in different tumor compartments will likely have high prognostic value for CRC patients, as it might expand the criteria for prescribing immunotherapy.
Collapse
Affiliation(s)
| | - Liubov Alexandrovna Tashireva
- Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences , Tomsk, 634009, Russia
| | - Nadezhda Valerievna Krakhmal
- Siberian State Medical University, Tomsk, 634050, Russia
- Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences , Tomsk, 634009, Russia
| | - Sergey Vladimirovich Vtorushin
- Siberian State Medical University, Tomsk, 634050, Russia
- Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences , Tomsk, 634009, Russia
| |
Collapse
|
4
|
Gu Z, Yin J, Da Silva CG, Liu Q, Cruz LJ, Ossendorp F, Snaar-Jagalska E. Therapeutic liposomal combination to enhance chemotherapy response and immune activation of tumor microenvironment. J Control Release 2024; 373:38-54. [PMID: 38986909 DOI: 10.1016/j.jconrel.2024.07.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 06/26/2024] [Accepted: 07/06/2024] [Indexed: 07/12/2024]
Abstract
Multiple oxaliplatin-resistance mechanisms have been proposed such as increase of anti-inflammatory M2 macrophages and lack of cytotoxic T-cells. Thereby oxaliplatin chemotherapy promotes an immunosuppressive tumor microenvironment and inhibits anti-tumor efficacy. It has been shown that toll-like receptor (TLR) agonists are capable of triggering broad inflammatory responses, which may potentially reduce oxaliplatin-resistance and improve the efficacy of chemotherapy. In this study, we established colorectal tumor-bearing zebrafish and mice, and investigated the effects of TLR agonists and oxaliplatin in macrophage function and anti-tumor T cell immunity as well as tumor growth control in vivo. To increase the potential of this strategy as well minimize side effects, neutral liposomes carrying oxaliplatin and cationic liposomes co-loaded with TLR agonists Poly I:C and R848 were employed for maximum immune activation. Both of two liposomal systems exhibited good physicochemical properties and excellent biological activities in vitro. The combination strategy delivered by liposomes showed more pronounced tumor regression and correlated with decreased M2 macrophage numbers in both zebrafish and mice. Increasing numbers of dendritic cells, DC maturation and T cell infiltration mediated via immunogenic cell death were observed in treated mice. Our study offers valuable insights into the potential of liposomal combination therapy to improve cancer treatment by reprogramming the tumor microenvironment and enhancing immune responses.
Collapse
Affiliation(s)
- Zili Gu
- Department of Radiology, Leiden University Medical Center, the Netherlands
| | - Jie Yin
- Institution of Biology Leiden, Leiden University, the Netherlands
| | - Candido G Da Silva
- Department of Radiology, Leiden University Medical Center, the Netherlands
| | - Qi Liu
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Luis J Cruz
- Department of Radiology, Leiden University Medical Center, the Netherlands
| | - Ferry Ossendorp
- Department of Immunology, Leiden University Medical Center, the Netherlands.
| | | |
Collapse
|
5
|
Dong W, Lu J, Li Y, Zeng J, Du X, Yu A, Zhao X, Chi F, Xi Z, Cao S. SIRT1: a novel regulator in colorectal cancer. Biomed Pharmacother 2024; 178:117176. [PMID: 39059350 DOI: 10.1016/j.biopha.2024.117176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 07/08/2024] [Accepted: 07/22/2024] [Indexed: 07/28/2024] Open
Abstract
The class-III histone deacetylase SIRT1 is the most extensively investigated sirtuin deacetylase. It is resistant to the broad deacetylase inhibitor trichostatin A and depends on oxidized nicotinamide adenine nucleotide (NAD+). SIRT1 plays a crucial role in the tumorigenesis of numerous types of cancers, including colorectal cancer (CRC). Accumulating evidence indicates that SIRT1 is a therapeutic target for CRC; however, the function and underlying mechanism of SIRT1 in CRC still need to be elucidated. Herein, we provide a detailed and updated review to illustrate that SIRT1 regulates many processes that go awry in CRC cells, such as apoptosis, autophagy, proliferation, migration, invasion, metastasis, oxidative stress, resistance to chemo-radio therapy, immune evasion, and metabolic reprogramming. Moreover, we closely link our review to the clinical practice of CRC treatment, summarizing the mechanisms and prospects of SIRT1 inhibitors in CRC therapy. SIRT1 inhibitors as monotherapy in CRC or in combination with chemotherapy, radiotherapy, and immune therapies are comprehensively discussed. From epigenetic regulation to its potential therapeutic effect, we hope to offer novel insights and a comprehensive understanding of SIRT1's role in CRC.
Collapse
Affiliation(s)
- Weiwei Dong
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province 110004, China
| | - Jinjing Lu
- Department of Health Management, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province 110004, China
| | - You Li
- Nursing Department, Liaoning Jinqiu Hospital, Shenyang, Liaoning Province 110016, China
| | - Juan Zeng
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province 110004, China
| | - Xiaoyun Du
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province 110004, China
| | - Ao Yu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province 110004, China
| | - Xuechan Zhao
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province 110004, China
| | - Feng Chi
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province 110004, China.
| | - Zhuo Xi
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province 110004, China.
| | - Shuo Cao
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province 110004, China.
| |
Collapse
|
6
|
Wu HL, Xia C, Liu FS, Zheng BY, Niu HQ, Zhu GQ, Zou MX, Zheng BW. Lymphocyte Infiltration Score and Spatial Characteristics Refined the Prognosis and Denosumab Treatment Responsiveness Indicators for Giant Cell Tumor of Bone. JCO Precis Oncol 2024; 8:e2400135. [PMID: 39178367 DOI: 10.1200/po.24.00135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 06/12/2024] [Accepted: 07/29/2024] [Indexed: 08/25/2024] Open
Abstract
PURPOSE The prognostic value of lymphocyte infiltration score (LIS) and its nearest neighbor distance to tumor cells (NNDTC) in giant cell tumor of bone (GCTB) is currently not well established. This study aims to characterize LIS and NNDTC and examine their correlation with denosumab treatment responsiveness, clinicopathologic features, and patient prognosis. METHODS Using multiplexed quantitative immunofluorescence, LIS was evaluated in 253 tumor specimens, whereas NNDTC was computed using HALO software. Subsequently, we analyzed the association of these parameters with patient outcomes (progression-free survival [PFS] and overall survival [OS]), clinicopathologic features, and denosumab treatment responsiveness. RESULTS Low LIS was indicative of both poor PFS and OS (both P < .001). In addition, LIS was significantly associated with sex (P = .046), Enneking staging (P < .001), Ki-67 expression (P = .007), and denosumab treatment responsiveness (P = .005). Lower CD8+ (tumor interior [TI]) NNDTC, and CD3+ (TI) NNDTC were associated with worse PFS (P = .003 and .038, respectively), whereas lower CD8+ (TI) NNDTC was associated with worse OS (P = .001), but CD8+ (tumor infiltrating margin) NNDTC had the opposite effect (P = .002). Moreover, NNDTC showed a correlation with several clinicopathologic features. Importantly, LIS outperformed Enneking and Campanacci staging systems in predicting the clinical outcomes of GCTB. CONCLUSION These findings suggest that LIS is a reliable predictive tool for clinically relevant outcomes and response to denosumab therapy in patients with GCTB. These parameters may prove to be useful in guiding prognostic risk stratification and therapeutic optimization for patients.
Collapse
Affiliation(s)
- Hai-Lin Wu
- Department of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Chao Xia
- Department of Spine Surgery, The First Affiliated Hospital, University of South China, Hengyang, China
| | - Fu-Sheng Liu
- Department of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Bo-Yv Zheng
- Department of Orthopedics Surgery, General Hospital of the Central Theater Command, Wuhan, China
| | - Hua-Qing Niu
- Department of Ophthalmology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Guo-Qiang Zhu
- Department of Orthopedics Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Ming-Xiang Zou
- Department of Spine Surgery, The First Affiliated Hospital, University of South China, Hengyang, China
| | - Bo-Wen Zheng
- Department of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, China
- Musculoskeletal Tumor Center, Peking University People's Hospital, Peking University, Beijing, China
| |
Collapse
|
7
|
Mi H, Sivagnanam S, Ho WJ, Zhang S, Bergman D, Deshpande A, Baras AS, Jaffee EM, Coussens LM, Fertig EJ, Popel AS. Computational methods and biomarker discovery strategies for spatial proteomics: a review in immuno-oncology. Brief Bioinform 2024; 25:bbae421. [PMID: 39179248 PMCID: PMC11343572 DOI: 10.1093/bib/bbae421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 07/11/2024] [Accepted: 08/09/2024] [Indexed: 08/26/2024] Open
Abstract
Advancements in imaging technologies have revolutionized our ability to deeply profile pathological tissue architectures, generating large volumes of imaging data with unparalleled spatial resolution. This type of data collection, namely, spatial proteomics, offers invaluable insights into various human diseases. Simultaneously, computational algorithms have evolved to manage the increasing dimensionality of spatial proteomics inherent in this progress. Numerous imaging-based computational frameworks, such as computational pathology, have been proposed for research and clinical applications. However, the development of these fields demands diverse domain expertise, creating barriers to their integration and further application. This review seeks to bridge this divide by presenting a comprehensive guideline. We consolidate prevailing computational methods and outline a roadmap from image processing to data-driven, statistics-informed biomarker discovery. Additionally, we explore future perspectives as the field moves toward interfacing with other quantitative domains, holding significant promise for precision care in immuno-oncology.
Collapse
Affiliation(s)
- Haoyang Mi
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
| | - Shamilene Sivagnanam
- The Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97201, United States
- Department of Cell, Development and Cancer Biology, Oregon Health and Science University, Portland, OR 97201, United States
| | - Won Jin Ho
- Department of Oncology, Johns Hopkins University School of Medicine, MD 21205, United States
- Convergence Institute, Johns Hopkins University, Baltimore, MD 21205, United States
| | - Shuming Zhang
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
| | - Daniel Bergman
- Department of Oncology, Johns Hopkins University School of Medicine, MD 21205, United States
- Convergence Institute, Johns Hopkins University, Baltimore, MD 21205, United States
| | - Atul Deshpande
- Department of Oncology, Johns Hopkins University School of Medicine, MD 21205, United States
- Convergence Institute, Johns Hopkins University, Baltimore, MD 21205, United States
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
| | - Alexander S Baras
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
- Department of Pathology, Johns Hopkins University School of Medicine, MD 21205, United States
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
| | - Elizabeth M Jaffee
- Department of Oncology, Johns Hopkins University School of Medicine, MD 21205, United States
- Convergence Institute, Johns Hopkins University, Baltimore, MD 21205, United States
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
| | - Lisa M Coussens
- The Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97201, United States
- Department of Cell, Development and Cancer Biology, Oregon Health and Science University, Portland, OR 97201, United States
- Brenden-Colson Center for Pancreatic Care, Oregon Health and Science University, Portland, OR 97201, United States
| | - Elana J Fertig
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
- Department of Oncology, Johns Hopkins University School of Medicine, MD 21205, United States
- Convergence Institute, Johns Hopkins University, Baltimore, MD 21205, United States
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
- Department of Applied Mathematics and Statistics, Johns Hopkins University Whiting School of Engineering, Baltimore, MD 21218, United States
| | - Aleksander S Popel
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
- Department of Oncology, Johns Hopkins University School of Medicine, MD 21205, United States
| |
Collapse
|
8
|
Sato T, Oshi M, Huang JL, Chida K, Roy AM, Endo I, Takabe K. CD133 expression is associated with less DNA repair, better response to chemotherapy and survival in ER-positive/HER2-negative breast cancer. Breast Cancer Res Treat 2024:10.1007/s10549-024-07434-3. [PMID: 39017815 DOI: 10.1007/s10549-024-07434-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 07/09/2024] [Indexed: 07/18/2024]
Abstract
PURPOSE CD133, a cancer stem cells (CSC) marker, has been reported to be associated with treatment resistance and worse survival in triple-negative breast cancer (BC). However, the clinical relevance of CD133 expression in ER-positive/HER2-negative (ER + /HER2-) BC, the most abundant subtype, remains unknown. METHODS The BC cohorts from the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC, n = 1904) and The Cancer Genome Atlas (TCGA, n = 1065) were used to obtain biological variables and gene expression data. RESULTS Epithelial cells were the exclusive source of CD133 gene expression in a bulk BC. CD133-high ER + /HER2- BC was associated with CD24, NOTCH1, DLL1, and ALDH1A1 gene expressions, as well as with WNT/β-Catenin, Hedgehog, and Notch signaling pathways, all characteristic for CSC. Consistent with a CSC phenotype, CD133-low BC was enriched with gene sets related to cell proliferation, such as G2M Checkpoint, MYC Targets V1, E2F Targets, and Ki67 gene expression. CD133-low BC was also linked with enrichment of genes related to DNA repair, such as BRCA1, E2F1, E2F4, CDK1/2. On the other hand, CD133-high tumors had proinflammatory microenvironment, higher activity of immune cells, and higher expression of genes related to inflammation and immune response. Finally, CD133-high tumors had better pathological complete response after neoadjuvant chemotherapy in GSE25066 cohort and better disease-free survival and overall survival in both TCGA and METABRIC cohorts. CONCLUSION CD133-high ER + /HER2- BC was associated with CSC phenotype such as less cell proliferation and DNA repair, but also with enhanced inflammation, better response to neoadjuvant chemotherapy and better prognosis.
Collapse
Affiliation(s)
- Takumi Sato
- Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Elm & Carlton Streets, Buffalo, NY, 14263, USA
- University of Tokyo Hospital, Tokyo, 113-8655, Japan
- National Hospital Organization Disaster Medical Center, Tokyo, 190-0014, Japan
| | - Masanori Oshi
- Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Elm & Carlton Streets, Buffalo, NY, 14263, USA
- Department of Gastroenterological Surgery, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
| | - Jing Li Huang
- Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Elm & Carlton Streets, Buffalo, NY, 14263, USA
| | - Kohei Chida
- Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Elm & Carlton Streets, Buffalo, NY, 14263, USA
- Department of Gastroenterological Surgery, Hirosaki University Graduate School of Medicine, Hirosaki, 036-8562, Japan
| | - Arya Mariam Roy
- Department of Medical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Itaru Endo
- Department of Gastroenterological Surgery, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan
| | - Kazuaki Takabe
- Department of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Elm & Carlton Streets, Buffalo, NY, 14263, USA.
- Department of Gastroenterological Surgery, Yokohama City University Graduate School of Medicine, Yokohama, 236-0004, Japan.
- Department of Surgery, Jacobs School of Medicine and Biomedical Sciences, State University of New York, Buffalo, NY, 14263, USA.
- Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, Niigata, 951-8520, Japan.
- Department of Breast Surgery, Fukushima Medical University School of Medicine, Fukushima, 960-1295, Japan.
- Department of Breast Surgery and Oncology, Tokyo Medical University, Tokyo, 160-8402, Japan.
| |
Collapse
|
9
|
Gao XC, Zhou BH, Ji ZX, Li Q, Liu HN. Canopy FGF signaling regulator 3 affects prognosis, immune infiltration, and PI3K/AKT pathway in colon adenocarcinoma. World J Gastrointest Oncol 2024; 16:3284-3298. [PMID: 39072149 PMCID: PMC11271795 DOI: 10.4251/wjgo.v16.i7.3284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Revised: 05/14/2024] [Accepted: 06/04/2024] [Indexed: 07/12/2024] Open
Abstract
BACKGROUND Colon adenocarcinoma (COAD) is a malignant tumor of the digestive system. The mechanisms underlying COAD development and progression are still largely unknown. AIM To identify the role of canopy FGF signaling regulator 3 (CNPY3) in the development and progression of COAD by using bioinformatic tools and functional experiments. METHODS Bioinformatic data were downloaded from public databases. The associations of clinicopathological features, survival, and immune function with the expression of CNPY3 were analyzed. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses and Gene Set Enrichment Analysis were used to explore the related pathways. Then, quantitative real-time PCR and immunohistochemistry were used for validation of CNPY3 expression in clinical samples and tumor cell lines. Cell lines with CNPY3 knockdown were constructed to further analyze gene functions. The functional experiments included proliferation, invasion, migration and apoptosis assays. RESULTS In both the TCGA cohort and the merged dataset, elevated CNPY3 expression was observed in tumor tissues. High CNPY3 expression correlated with adverse survival and compromised immune functions. Functional enrichment analysis suggested that the pro-oncogenic properties of CNPY3 might be linked to the PI3K-AKT signaling pathway. CNPY3 expression was validated at both the RNA and protein levels. Functional assays indicated that cell proliferation, invasion, and migration were inhibited and cell apoptosis was promoted after CNPY3 knockdown. Additionally, Western blot results revealed the downregulation of key proteins in the PI3K/AKT pathway following CNPY3 knockdown. PI3K/AKT pathway activator reversed the decrease in proliferation, invasion, and migration and the increase in apoptosis. Notably, CNPY3 knockdown still affected the cells when the pathway was inhibited. CONCLUSION This study showed that CNPY3 is upregulated in COAD and might regulate COAD development and progression by the PI3K/AKT pathway. Thus, CNPY3 might be a promising therapeutic target.
Collapse
Affiliation(s)
- Xu-Can Gao
- Department of Anorectal Surgery, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, Guangdong Province, China
| | - Biao-Huan Zhou
- Department of Anorectal Surgery, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, Guangdong Province, China
| | - Zhou-Xin Ji
- Department of Anorectal Surgery, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, Guangdong Province, China
| | - Qiang Li
- Department of Anorectal Surgery, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, Guangdong Province, China
| | - Hui-Ning Liu
- Department of Anorectal Surgery, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, Guangdong Province, China
| |
Collapse
|
10
|
Yue YZ, Li MX, Wang XH, Qin YY, Wang YH, Tan JH, Su LL, Yan S. UPLC-Q-TOF/MS-Based Serum Metabolomics Reveals Potential Anti-tumor Mechanism of Banxia Xiexin Decoction in Colorectal Cancer Mice. Chin J Integr Med 2024; 30:623-632. [PMID: 37222828 DOI: 10.1007/s11655-023-3552-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/20/2023] [Indexed: 05/25/2023]
Abstract
OBJECTIVE To clarify the potential mechanism of Banxia Xiexin Decoction (BXD) on colorectal cancer (CRC) from the perspective of metabolomics. METHODS Forty male C57BL/6 mice were randomly divided into normal control (NC), azoxymethane/dextran sulfate sodium (AOM/DSS) model, low-dose BXD (L-BXD), high-dose BXD (H-BXD) and mesalamine (MS) groups according to a random number table, 8 mice in each group. Colorectal cancer model was induced by AOM/DSS. BXD was administered daily at doses of 3.915 (L-BXD) and 15.66 g/kg (H-BXD) by gavage for consecutive 21 days, and 100 mg/kg MS was used as positive control. Following the entire modeling cycle, colon length of mice was measured and quantity of colorectal tumors were counted. The spleen and thymus index were determined by calculating the spleen/thymus weight to body weight. Inflammatory cytokine and changes of serum metabolites were analyzed by enzyme-linked immunosorbent assay kits and ultra performance liquid chromatography-quadrupole/time-of-flight mass spectrometry (UPLC-Q/TOF-MS), respectively. RESULTS Notably, BXD supplementation protected against weight loss, mitigated tumor formation, and diminished histologic damage in mice treated with AOM/DSS (P<0.05 or P<0.01). Moreover, BXD suppressed expression of serum inflammatory enzymes, and improved the spleen and thymus index (P<0.05). Compared with the normal group, 102 kinds of differential metabolites were screened in the AOM/DSS group, including 48 potential biomarkers, involving 18 main metabolic pathways. Totally 18 potential biomarkers related to CRC were identified, and the anti-CRC mechanism of BXD was closely related to D-glutamine and D-glutamate metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, arginine biosynthesis, nitrogen metabolism and so on. CONCLUSION BXD exerts partial protective effects on AOM/DSS-induced CRC by reducing inflammation, protecting organism immunity ability, and regulating amino acid metabolism.
Collapse
Affiliation(s)
- Yin-Zi Yue
- Department of General Surgery, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, 215009, China
| | - Ming-Xuan Li
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Xiao-Hui Wang
- Department of General Surgery, Bayinguoleng Mongolian Autonomous Prefecture People's Hospital, Xinjiang Uygur Autonomous Region, Korla, 841000, China
| | - Yuan-Yuan Qin
- Department of Pharmacy, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, 215009, China
| | - Ya-Hui Wang
- Department of Anorectal Surgery, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, 215009, China
| | - Jin-Hua Tan
- Department of General Surgery, Bayinguoleng Mongolian Autonomous Prefecture People's Hospital, Xinjiang Uygur Autonomous Region, Korla, 841000, China
| | - Lian-Lin Su
- School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Shuai Yan
- Department of Anorectal Surgery, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, 215009, China.
| |
Collapse
|
11
|
Pan B, Yan S, Yuan L, Xiang H, Ju M, Xu S, Jia W, Li J, Zhao Q, Zheng M. Multiomics sequencing and immune microenvironment characteristics define three subtypes of small cell neuroendocrine carcinoma of the cervix. J Pathol 2024; 263:372-385. [PMID: 38721894 DOI: 10.1002/path.6290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 02/23/2024] [Accepted: 04/03/2024] [Indexed: 06/12/2024]
Abstract
Small cell cervical carcinoma (SCCC) is the most common neuroendocrine tumor in the female genital tract, with an unfavorable prognosis and lacking an evidence-based therapeutic approach. Until now, the distinct subtypes and immune characteristics of SCCC combined with genome and transcriptome have not been described. We performed genomic (n = 18), HPV integration (n = 18), and transcriptomic sequencing (n = 19) of SCCC samples. We assessed differences in immune characteristics between SCCC and conventional cervical cancer, and other small cell neuroendocrine carcinomas, through bioinformatics analysis and immunohistochemical assays. We stratified SCCC patients through non-negative matrix factorization and described the characteristics of these distinct types. We further validated it using multiplex immunofluorescence (n = 77) and investigated its clinical prognostic effect. We confirmed a high frequency of PIK3CA and TP53 alterations and HPV18 integrations in SCCC. SCCC and other small cell carcinoma had similar expression signatures and immune cell infiltration patterns. Comparing patients with SCCC to those with conventional cervical cancer, the former presented immune excluded or 'desert' infiltration. The number of CD8+ cells in the invasion margin of SCCC patients predicted favorable clinical outcomes. We identified three transcriptome subtypes: an inflamed phenotype with high-level expression of genes related to the MHC-II complex (CD74) and IFN-α/β (SCCC-I), and two neuroendocrine subtypes with high-level expression of ASCL1 or NEUROD1, respectively. Combined with multiple technologies, we found that the neuroendocrine groups had more TP53 mutations and SCCC-I had more PIK3CA mutations. Multiplex immunofluorescence validated these subtypes and SCCC-I was an independent prognostic factor of overall survival. These results provide insights into SCCC tumor heterogeneity and potential therapies. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Collapse
Affiliation(s)
- Baoyue Pan
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Shumei Yan
- Department of Pathology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Linjing Yuan
- Department of Gynecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, PR China
| | - Huiling Xiang
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Mingxiu Ju
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Shijie Xu
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Weihua Jia
- Biobank of Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Jundong Li
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Qi Zhao
- Department of Experimental Research, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Min Zheng
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| |
Collapse
|
12
|
González-Montero J, Rojas CI, Burotto M. Predictors of response to immunotherapy in colorectal cancer. Oncologist 2024:oyae152. [PMID: 38920285 DOI: 10.1093/oncolo/oyae152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 05/24/2024] [Indexed: 06/27/2024] Open
Abstract
Colorectal cancer (CRC) is a major cause of cancer-related deaths globally. While treatment advancements have improved survival rates, primarily through targeted therapies based on KRAS, NRAS, and BRAF mutations, personalized treatment strategies for CRC remain limited. Immunotherapy, mainly immune checkpoint blockade, has shown efficacy in various cancers but is effective in only a small subset of patients with CRC with deficient mismatch repair (dMMR) proteins or high microsatellite instability (MSI). Recent research has challenged the notion that CRC is immunologically inert, revealing subsets with high immunogenicity and diverse lymphocytic infiltration. Identifying precise biomarkers beyond dMMR and MSI is crucial to expanding immunotherapy benefits. Hence, exploration has extended to various biomarker sources, such as the tumor microenvironment, genomic markers, and gut microbiota. Recent studies have introduced a novel classification system, consensus molecular subtypes, that aids in identifying patients with CRC with an immunogenic profile. These findings underscore the necessity of moving beyond single biomarkers and toward a comprehensive understanding of the immunological landscape in CRC, facilitating the development of more effective, personalized therapies.
Collapse
Affiliation(s)
- Jaime González-Montero
- Bradford Hill Clinical Research Center, Santiago 8420383, Chile
- Basic and Clinical Oncology Department, University of Chile, Santiago 838045, Chile
| | - Carlos I Rojas
- Bradford Hill Clinical Research Center, Santiago 8420383, Chile
| | | |
Collapse
|
13
|
Uinarni H, Oghenemaro EF, Menon SV, Hjazi A, Ibrahim FM, Kaur M, Zafarjonovna AZ, Deorari M, Jabir MS, Zwamel AH. Breaking Barriers: Nucleic Acid Aptamers in Gastrointestinal (GI) Cancers Therapy. Cell Biochem Biophys 2024:10.1007/s12013-024-01367-w. [PMID: 38916791 DOI: 10.1007/s12013-024-01367-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/13/2024] [Indexed: 06/26/2024]
Abstract
Conventional cancer therapies can have significant adverse effects as they are not targeted to cancer cells and may damage healthy cells. Single-stranded oligonucleotides assembled in a particular architecture, known as aptamers, enable them to attach selectively to target areas. Usually, they are created by Systematic Evolution of Ligand by Exponential enrichment (SELEX), and they go through a rigorous pharmacological revision process to change their therapeutic half-life, affinity, and specificity. They could thus offer a viable substitute for antibodies in the targeted cancer treatment market. Although aptamers can be a better choice in some situations, antibodies are still appropriate for many other uses. The technique of delivering aptamers is simple and reasonable, and the time needed to manufacture them is relatively brief. Aptamers do not require animals or an immune response to be produced, in contrast to antibodies. When used as a medication, aptamers can directly suppress tumor cells. As an alternative, they can be included in systems for targeted drug delivery that administer medications specifically to tumor cells while reducing toxicity to healthy cells. The most recent and cutting-edge methods for treating gastrointestinal (GI) tract cancer with aptamers will be covered in this review, with a focus on targeted therapy as a means of conquering resistance to traditional medicines.
Collapse
Affiliation(s)
- Herlina Uinarni
- Department of Anatomy, School of Medicine and Health Sciences Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia.
- Radiology department of Pantai Indah Kapuk Hospital Jakarta, Jakarta, Indonesia.
| | - Enwa Felix Oghenemaro
- Department of Pharmaceutical Microbiology, Faculty of Pharmacy, Delta State University, Abraka, Delta State, Nigeria
| | - Soumya V Menon
- Department of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, India
| | - Ahmed Hjazi
- Department of Medical Laboratory, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia
| | - Fatma Magdi Ibrahim
- Assisstant professor, Community Health Nursing, RAK Medical and Health Sciences University, Ras Al Khaimah, UAE
- Lecturer, geriatric nursing, Mansoura University, Mansoura, Egypt
| | - Mandeep Kaur
- Department of Sciences, Vivekananda Global University, Jaipur, Rajasthan, 303012, India
| | | | - Mahamedha Deorari
- Uttaranchal Institute of Pharmaceutical Sciences, Uttaranchal University, Dehradun, India
| | - Majid S Jabir
- Department of applied sciences, University of technology, Baghdad, Iraq
| | - Ahmed Hussein Zwamel
- Medical laboratory technique college, the Islamic University, Najaf, Iraq
- Medical laboratory technique college, the Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq
- Medical laboratory technique college, the Islamic University of Babylon, Babylon, Iraq
| |
Collapse
|
14
|
Li A, Li Q, Wang C, Bao X, Sun F, Qian X, Sun W. Constructing a prognostic model for colon cancer: insights from immunity-related genes. BMC Cancer 2024; 24:758. [PMID: 38914961 PMCID: PMC11197172 DOI: 10.1186/s12885-024-12507-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Accepted: 06/12/2024] [Indexed: 06/26/2024] Open
Abstract
BACKGROUND Colon cancer (CC) is a malignancy associated with significant morbidity and mortality within the gastrointestinal tract. Recurrence and metastasis are the main factors affecting the prognosis of CC patients undergoing radical surgery; consequently, we attempted to determine the impact of immunity-related genes. RESULT We constructed a CC risk model based on ZG16, MPC1, RBM47, SMOX, CPM and DNASE1L3. Consistently, we found that a significant association was found between the expression of most characteristic genes and tumor mutation burden (TMB), microsatellite instability (MSI) and neoantigen (NEO). Additionally, a notable decrease in RBM47 expression was observed in CC tissues compared with that in normal tissues. Moreover, RBM47 expression was correlated with clinicopathological characteristics and improved disease-free survival (DFS) and overall survival (OS) among patients with CC. Lastly, immunohistochemistry and co-immunofluorescence staining revealed a clear positive correlation between RBM47 and CXCL13 in mature tertiary lymphoid structures (TLS) region. CONCLUSION We conclude that RBM47 was identified as a prognostic-related gene, which was of great significance to the prognosis evaluation of patients with CC and was correlated with CXCL13 in the TLS region.
Collapse
Affiliation(s)
- Ansu Li
- Department of Clinical Laboratory, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing, China
| | - Qi Li
- Department of Pathology, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, Nanjing, China
| | - Chaoshan Wang
- Department of Pathology, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, Nanjing, China
| | - Xue Bao
- Department of Cardiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Feng Sun
- Division of Gastric Surgery, Department of General Surgery, The Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, Nanjing, China
| | - Xiaoping Qian
- Department of Oncology, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, Nanjing, China.
| | - Wu Sun
- Department of Oncology, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, Nanjing, China.
| |
Collapse
|
15
|
Molina OE, LaRue H, Simonyan D, Hovington H, Vittrant B, Têtu B, Fradet V, Lacombe L, Bergeron A, Fradet Y. Regulatory and memory T lymphocytes infiltrating prostate tumors predict long term clinical outcomes. Front Immunol 2024; 15:1372837. [PMID: 38887294 PMCID: PMC11180786 DOI: 10.3389/fimmu.2024.1372837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 05/13/2024] [Indexed: 06/20/2024] Open
Abstract
Introduction The localization, density but mostly the phenotype of tumor infiltrating lymphocytes (TIL) provide important information on the initial interaction between the host immune system and the tumor. Our objective was to assess the prognostic significance of T (CD3+), T regulatory (Treg) (FoxP3+) and T memory (Tmem) (CD45RO+) infiltrating lymphocytes and of genes associated with TIL in prostate cancer (PCa). Methods Immunohistochemistry (IHC) was used to assess the infiltration of CD3+, FoxP3+ and CD45RO+ cells in the tumor area, tumor margin and adjacent normal-like epithelium of a series of 98 PCa samples with long clinical follow-up. Expression of a panel of 31 TIL-associated genes was analyzed by Taqman Low-Density Array (TLDA) technology in another series of 50 tumors with long clinical follow-up. Kaplan-Meier and Cox proportional hazards regression analyses were performed to determine association of these markers with biochemical recurrence (BCR), need for definitive androgen deprivation therapy (ADT) or lethal PCa. Results TIL subtypes were present at different densities in the tumor, tumor margin and adjacent normal-like epithelium, but their density and phenotype in the tumor area were the most predictive of clinical outcomes. In multivariate analyses, a high density of Treg (high FoxP3+/CD3+ cell ratio) predicted a higher risk for need of definitive ADT (HR=7.69, p=0.001) and lethal PCa (HR=4.37, p=0.04). Conversely, a high density of Tmem (high CD45RO+/CD3+ cell ratio) predicted a reduced risk of lethal PCa (HR=0.06, p=0.04). TLDA analyses showed that a high expression of FoxP3 was associated with a higher risk of lethal PCa (HR=5.26, p=0.02). Expression of CTLA-4, PD-1, TIM-3 and LAG-3 were correlated with that of FoxP3. Amongst these, only a high expression of TIM-3 was associated with a significant higher risk for definitive ADT in univariate Cox regression analysis (HR=3.11, p=0.01). Conclusion These results show that the proportion of Treg and Tmem found within the tumor area is a strong and independent predictor of late systemic progression of PCa. Our results also suggest that inhibition of TIM-3 might be a potential approach to counter the immunosuppressive functions of Treg in order to improve the anti-tumor immune response against PCa.
Collapse
Affiliation(s)
- Oscar Eduardo Molina
- Axe oncologie, Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Centre de recherche sur le cancer de l’Université Laval, Québec, QC, Canada
| | - Hélène LaRue
- Axe oncologie, Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Centre de recherche sur le cancer de l’Université Laval, Québec, QC, Canada
| | - David Simonyan
- Plateforme de recherche clinique et évaluative, Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
| | - Hélène Hovington
- Axe oncologie, Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Centre de recherche sur le cancer de l’Université Laval, Québec, QC, Canada
| | - Benjamin Vittrant
- Axe oncologie, Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Centre de recherche sur le cancer de l’Université Laval, Québec, QC, Canada
| | - Bernard Têtu
- Axe oncologie, Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Centre de recherche sur le cancer de l’Université Laval, Québec, QC, Canada
- Département de pathologie, CHU de Québec-Université Laval, Québec, QC, Canada
| | - Vincent Fradet
- Axe oncologie, Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Centre de recherche sur le cancer de l’Université Laval, Québec, QC, Canada
- Département de chirurgie, Université Laval, Québec, QC, Canada
| | - Louis Lacombe
- Axe oncologie, Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Centre de recherche sur le cancer de l’Université Laval, Québec, QC, Canada
- Département de chirurgie, Université Laval, Québec, QC, Canada
| | - Alain Bergeron
- Axe oncologie, Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Centre de recherche sur le cancer de l’Université Laval, Québec, QC, Canada
- Département de chirurgie, Université Laval, Québec, QC, Canada
| | - Yves Fradet
- Axe oncologie, Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Centre de recherche sur le cancer de l’Université Laval, Québec, QC, Canada
- Département de chirurgie, Université Laval, Québec, QC, Canada
| |
Collapse
|
16
|
Li X, Eastham J, Giltnane JM, Zou W, Zijlstra A, Tabatsky E, Banchereau R, Chang CW, Nabet BY, Patil NS, Molinero L, Chui S, Harryman M, Lau S, Rangell L, Waumans Y, Kockx M, Orlova D, Koeppen H. Automated tumor immunophenotyping predicts clinical benefit from anti-PD-L1 immunotherapy. J Pathol 2024; 263:190-202. [PMID: 38525811 DOI: 10.1002/path.6274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 12/22/2023] [Accepted: 02/14/2024] [Indexed: 03/26/2024]
Abstract
Cancer immunotherapy has transformed the clinical approach to patients with malignancies, as profound benefits can be seen in a subset of patients. To identify this subset, biomarker analyses increasingly focus on phenotypic and functional evaluation of the tumor microenvironment to determine if density, spatial distribution, and cellular composition of immune cell infiltrates can provide prognostic and/or predictive information. Attempts have been made to develop standardized methods to evaluate immune infiltrates in the routine assessment of certain tumor types; however, broad adoption of this approach in clinical decision-making is still missing. We developed approaches to categorize solid tumors into 'desert', 'excluded', and 'inflamed' types according to the spatial distribution of CD8+ immune effector cells to determine the prognostic and/or predictive implications of such labels. To overcome the limitations of this subjective approach, we incrementally developed four automated analysis pipelines of increasing granularity and complexity for density and pattern assessment of immune effector cells. We show that categorization based on 'manual' observation is predictive for clinical benefit from anti-programmed death ligand 1 therapy in two large cohorts of patients with non-small cell lung cancer or triple-negative breast cancer. For the automated analysis we demonstrate that a combined approach outperforms individual pipelines and successfully relates spatial features to pathologist-based readouts and the patient's response to therapy. Our findings suggest that tumor immunophenotype generated by automated analysis pipelines should be evaluated further as potential predictive biomarkers for cancer immunotherapy. © 2024 The Pathological Society of Great Britain and Ireland.
Collapse
Affiliation(s)
- Xiao Li
- Genentech, South San Francisco, CA, USA
| | | | | | - Wei Zou
- Genentech, South San Francisco, CA, USA
| | | | | | | | | | | | | | | | | | | | - Shari Lau
- Genentech, South San Francisco, CA, USA
| | | | | | | | | | | |
Collapse
|
17
|
Liang W, Yang X, Li X, Wang P, Zhu Z, Liu S, Xu D, Zhi X, Xue J. Investigating gene signatures associated with immunity in colon adenocarcinoma to predict the immunotherapy effectiveness using NFM and WGCNA algorithms. Aging (Albany NY) 2024; 16:7596-7621. [PMID: 38742936 PMCID: PMC11131999 DOI: 10.18632/aging.205763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 03/26/2024] [Indexed: 05/16/2024]
Abstract
Colon adenocarcinoma (COAD), a frequently encountered and highly lethal malignancy of the digestive system, has been the focus of intensive research regarding its prognosis. The intricate immune microenvironment plays a pivotal role in the pathological progression of COAD; nevertheless, the underlying molecular mechanisms remain incompletely understood. This study aims to explore the immune gene expression patterns in COAD, construct a robust prognostic model, and delve into the molecular mechanisms and potential therapeutic targets for COAD liver metastasis, thereby providing critical support for individualized treatment strategies and prognostic evaluation. Initially, we curated a comprehensive dataset by screening 2600 immune-related genes (IRGs) from the ImmPort and InnateDB databases, successfully obtaining a rich data resource. Subsequently, the COAD patient cohort was classified using the non-negative matrix factorization (NMF) algorithm, enabling accurate categorization. Continuing on, utilizing the weighted gene co-expression network analysis (WGCNA) method, we analyzed the top 5000 genes with the smallest p-values among the differentially expressed genes (DEGs) between immune subtypes. Through this rigorous screening process, we identified the gene modules with the strongest correlation to the COAD subpopulation, and the intersection of genes in these modules with DEGs (COAD vs COAD vs Normal colon tissue) is referred to as Differentially Expressed Immune Genes Associated with COAD (DEIGRC). Employing diverse bioinformatics methodologies, we successfully developed a prognostic model (DPM) consisting of six genes derived from the DEIGRC, which was further validated across multiple independent datasets. Not only does this predictive model accurately forecast the prognosis of COAD patients, but it also provides valuable insights for formulating personalized treatment regimens. Within the constructed DPM, we observed a downregulation of CALB2 expression levels in COAD tissues, whereas NOXA1, KDF1, LARS2, GSR, and TIMP1 exhibited upregulated expression levels. These genes likely play indispensable roles in the initiation and progression of COAD and thus represent potential therapeutic targets for patient management. Furthermore, our investigation into the molecular mechanisms and therapeutic targets for COAD liver metastasis revealed associations with relevant processes such as fat digestion and absorption, cancer gene protein polysaccharides, and nitrogen metabolism. Consequently, genes including CAV1, ANXA1, CPS1, EDNRA, and GC emerge as promising candidates as therapeutic targets for COAD liver metastasis, thereby providing crucial insights for future clinical practices and drug development. In summary, this study uncovers the immune gene expression patterns in COAD, establishes a robust prognostic model, and elucidates the molecular mechanisms and potential therapeutic targets for COAD liver metastasis, thereby possessing significant theoretical and clinical implications. These findings are anticipated to offer substantial support for both the treatment and prognosis management of COAD patients.
Collapse
Affiliation(s)
- Weizheng Liang
- Central Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou 075000, Hebei, China
- Department of General Surgery, The First Affiliated Hospital of Hebei North University, Zhangjiakou 075000, Hebei, China
| | - Xiangyu Yang
- Department of Gastroenterology and Hepatology, The Second Affiliated Hospital of Chongqing Medical University, Yuzhong 400010, Chongqing, China
| | - Xiushen Li
- Department of Obstetrics and Gynecology, Shenzhen University General Hospital, Shenzhen 518055, Guangdong, China
| | - Peng Wang
- Department of General Surgery, The First Affiliated Hospital of Hebei North University, Zhangjiakou 075000, Hebei, China
| | - Zhenpeng Zhu
- Department of General Surgery, The First Affiliated Hospital of Hebei North University, Zhangjiakou 075000, Hebei, China
| | - Shan Liu
- Bioimaging Core of Shenzhen Bay Laboratory Shenzhen, Shenzhen 518132, Guangdong, China
| | - Dandan Xu
- Central Laboratory, The First Affiliated Hospital of Hebei North University, Zhangjiakou 075000, Hebei, China
| | - Xuejun Zhi
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Hebei North University, Zhangjiakou 075000, Hebei, China
| | - Jun Xue
- Department of General Surgery, The First Affiliated Hospital of Hebei North University, Zhangjiakou 075000, Hebei, China
| |
Collapse
|
18
|
Gharib E, Rejali L, Piroozkhah M, Zonoobi E, Nasrabadi PN, Arabsorkhi Z, Baghdar K, Shams E, Sadeghi A, Kuppen PJK, Salehi Z, Nazemalhosseini-Mojarad E. IL-2RG as a possible immunotherapeutic target in CRC predicting poor prognosis and regulated by miR-7-5p and miR-26b-5p. J Transl Med 2024; 22:439. [PMID: 38720389 PMCID: PMC11080123 DOI: 10.1186/s12967-024-05251-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 04/29/2024] [Indexed: 05/12/2024] Open
Abstract
Despite advances in treatment strategies, colorectal cancer (CRC) continues to cause significant morbidity and mortality, with mounting evidence a close link between immune system dysfunctions issued. Interleukin-2 receptor gamma (IL-2RG) plays a pivotal role as a common subunit receptor in the IL-2 family cytokines and activates the JAK-STAT pathway. This study delves into the role of Interleukin-2 receptor gamma (IL-2RG) within the tumor microenvironment and investigates potential microRNAs (miRNAs) that directly inhibit IL-2RG, aiming to discern their impact on CRC clinical outcomes. Bioinformatics analysis revealed a significant upregulation of IL-2RG mRNA in TCGA-COAD samples and showed strong correlations with the infiltration of various lymphocytes. Single-cell analysis corroborated these findings, highlighting IL-2RG expression in critical immune cell subsets. To explore miRNA involvement in IL-2RG dysregulation, mRNA was isolated from the tumor tissues and lymphocytes of 258 CRC patients and 30 healthy controls, and IL-2RG was cloned into the pcDNA3.1/CT-GFP-TOPO vector. Human embryonic kidney cell lines (HEK-293T) were transfected with this construct. Our research involved a comprehensive analysis of miRPathDB, miRWalk, and Targetscan databases to identify the miRNAs associated with the 3' UTR of human IL-2RG. The human microRNA (miRNA) molecules, hsa-miR-7-5p and hsa-miR-26b-5p, have been identified as potent suppressors of IL-2RG expression in CRC patients. Specifically, the downregulation of hsa-miR-7-5p and hsa-miR-26b-5p has been shown to result in the upregulation of IL-2RG mRNA expression in these patients. Prognostic evaluation of IL-2RG, hsa-miR-7-5p, and hsa-miR-26b-5p, using TCGA-COAD data and patient samples, established that higher IL-2RG expression and lower expression of both miRNAs were associated with poorer outcomes. Additionally, this study identified several long non-coding RNAs (LncRNAs), such as ZFAS1, SOX21-AS1, SNHG11, SNHG16, SNHG1, DLX6-AS1, GAS5, SNHG6, and MALAT1, which may act as competing endogenous RNA molecules for IL2RG by sequestering shared hsa-miR-7-5p and hsa-miR-26b-5p. In summary, this investigation underscores the potential utility of IL-2RG, hsa-miR-7-5p, and hsa-miR-26b-5p as serum and tissue biomarkers for predicting CRC patient prognosis while also offering promise as targets for immunotherapy in CRC management.
Collapse
Affiliation(s)
- Ehsan Gharib
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Leili Rejali
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Moein Piroozkhah
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elham Zonoobi
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | - Parinaz Nasri Nasrabadi
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zahra Arabsorkhi
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kaveh Baghdar
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elahe Shams
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Amir Sadeghi
- Gastroenterology and Liver Diseases Research Centre, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Yeman Street, Chamran Expressway, P.O. Box: 19857-17411, Tehran, Iran
| | - Peter J K Kuppen
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | - Zahra Salehi
- Hematology, Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran.
- Research Institute for Oncology, Hematology and Cell Therapy, Tehran University of Medical Sciences, Tehran, Iran.
| | - Ehsan Nazemalhosseini-Mojarad
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands.
- Gastroenterology and Liver Diseases Research Centre, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Yeman Street, Chamran Expressway, P.O. Box: 19857-17411, Tehran, Iran.
| |
Collapse
|
19
|
Cournoyer A, Amerman H, Assenmacher CA, Durham A, Perry JA, Gedney A, Keuler N, Atherton MJ, Lenz JA. Quantification of CD3, FoxP3, and granzyme B immunostaining in canine renal cell carcinoma. Vet Immunol Immunopathol 2024; 271:110741. [PMID: 38520894 PMCID: PMC11056291 DOI: 10.1016/j.vetimm.2024.110741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/21/2024] [Accepted: 03/05/2024] [Indexed: 03/25/2024]
Abstract
Tumor-infiltrating lymphocyte (TIL) density plays an important role in anti-tumor immunity and is associated with patient outcome in various human and canine malignancies. As a first assessment of the immune landscape of the tumor microenvironment in canine renal cell carcinoma (RCC), we retrospectively analyzed clinical data and quantified CD3, FoxP3, and granzyme B immunostaining in formalin-fixed paraffin-embedded tumor samples from 16 dogs diagnosed with renal cell carcinoma treated with ureteronephrectomy. Cell density was low for all markers evaluated. Increased numbers of intratumoral FoxP3 labelled (+) cells, as well as decreased granzyme B+: FoxP3+ TIL ratio, were associated with poor patient outcomes. Our initial study of canine RCC reveals that these tumors are immunologically cold and Tregs may play an important role in immune evasion.
Collapse
Affiliation(s)
- Ashleigh Cournoyer
- Department of Clinical Studies and Advanced Medicine, University of Pennsylvania, School of Veterinary Medicine, 3900 Spruce Street, Philadelphia, PA 19104, USA
| | - Hayley Amerman
- Department of Pathobiology, University of Pennsylvania, School of Veterinary Medicine, 3900 Spruce Street, Philadelphia, PA 19104, USA
| | - Charles-Antoine Assenmacher
- Department of Pathobiology, University of Pennsylvania, School of Veterinary Medicine, 3900 Spruce Street, Philadelphia, PA 19104, USA
| | - Amy Durham
- Department of Pathobiology, University of Pennsylvania, School of Veterinary Medicine, 3900 Spruce Street, Philadelphia, PA 19104, USA
| | - James A Perry
- Department of Clinical Studies and Advanced Medicine, University of Pennsylvania, School of Veterinary Medicine, 3900 Spruce Street, Philadelphia, PA 19104, USA
| | - Allison Gedney
- Department of Clinical Studies and Advanced Medicine, University of Pennsylvania, School of Veterinary Medicine, 3900 Spruce Street, Philadelphia, PA 19104, USA
| | - Nicholas Keuler
- Department of Statistics, University of Wisconsin-Madison, 1300 University Ave, Madison, WI 53706, USA
| | - Matthew J Atherton
- Department of Clinical Studies and Advanced Medicine, University of Pennsylvania, School of Veterinary Medicine, 3900 Spruce Street, Philadelphia, PA 19104, USA; Department of Biomedical Sciences, University of Pennsylvania, School of Veterinary Medicine, 3900 Spruce Street, Philadelphia, PA 19104, USA
| | - Jennifer A Lenz
- Department of Clinical Studies and Advanced Medicine, University of Pennsylvania, School of Veterinary Medicine, 3900 Spruce Street, Philadelphia, PA 19104, USA.
| |
Collapse
|
20
|
Hijazi A, Galon J. Principles of risk assessment in colon cancer: immunity is key. Oncoimmunology 2024; 13:2347441. [PMID: 38694625 PMCID: PMC11062361 DOI: 10.1080/2162402x.2024.2347441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 04/16/2024] [Indexed: 05/04/2024] Open
Abstract
In clinical practice, the administration of adjuvant chemotherapy (ACT) following tumor surgical resection raises a critical dilemma for stage II colon cancer (CC) patients. The prognostic features used to identify high-risk CC patients rely on the pathological assessment of tumor cells. Currently, these factors are considered for stratifying patients who may benefit from ACT at early CC stages. However, the extent to which these factors predict clinical outcomes (i.e. recurrence, survival) remains highly controversial, also uncertainty persists regarding patients' response to treatment, necessitating further investigation. Therefore, an imperious need is to explore novel biomarkers that can reliably stratify patients at risk, to optimize adjuvant treatment decisions. Recently, we evaluated the prognostic and predictive value of Immunoscore (IS), an immune digital-pathology assay, in stage II CC patients. IS emerged as the sole significant parameter for predicting disease-free survival (DFS) in high-risk patients. Moreover, IS effectively stratified patients who would benefit most from ACT based on their risk of recurrence, thus predicting their outcomes. Notably, our findings revealed that digital IS outperformed the visual quantitative assessment of the immune response conducted by expert pathologists. The latest edition of the WHO classification for digestive tumor has introduced the evaluation of the immune response, as assessed by IS, as desirable and essential diagnostic criterion. This supports the revision of current cancer guidelines and strongly recommends the implementation of IS into clinical practice as a patient stratification tool, to guide CC treatment decisions. This approach may provide appropriate personalized therapeutic decisions that could critically impact early-stage CC patient care.
Collapse
Affiliation(s)
- Assia Hijazi
- INSERM, Laboratory of Integrative Cancer Immunology, Paris, France
- Equipe Labellisée Ligue Contre le Cancer, Paris, France
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, Paris, France
| | - Jérôme Galon
- INSERM, Laboratory of Integrative Cancer Immunology, Paris, France
- Equipe Labellisée Ligue Contre le Cancer, Paris, France
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, Paris, France
- Veracyte, Marseille, France
| |
Collapse
|
21
|
Mitra A, Kumar A, Amdare NP, Pathak R. Current Landscape of Cancer Immunotherapy: Harnessing the Immune Arsenal to Overcome Immune Evasion. BIOLOGY 2024; 13:307. [PMID: 38785789 PMCID: PMC11118874 DOI: 10.3390/biology13050307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 04/24/2024] [Accepted: 04/24/2024] [Indexed: 05/25/2024]
Abstract
Cancer immune evasion represents a leading hallmark of cancer, posing a significant obstacle to the development of successful anticancer therapies. However, the landscape of cancer treatment has significantly evolved, transitioning into the era of immunotherapy from conventional methods such as surgical resection, radiotherapy, chemotherapy, and targeted drug therapy. Immunotherapy has emerged as a pivotal component in cancer treatment, harnessing the body's immune system to combat cancer and offering improved prognostic outcomes for numerous patients. The remarkable success of immunotherapy has spurred significant efforts to enhance the clinical efficacy of existing agents and strategies. Several immunotherapeutic approaches have received approval for targeted cancer treatments, while others are currently in preclinical and clinical trials. This review explores recent progress in unraveling the mechanisms of cancer immune evasion and evaluates the clinical effectiveness of diverse immunotherapy strategies, including cancer vaccines, adoptive cell therapy, and antibody-based treatments. It encompasses both established treatments and those currently under investigation, providing a comprehensive overview of efforts to combat cancer through immunological approaches. Additionally, the article emphasizes the current developments, limitations, and challenges in cancer immunotherapy. Furthermore, by integrating analyses of cancer immunotherapy resistance mechanisms and exploring combination strategies and personalized approaches, it offers valuable insights crucial for the development of novel anticancer immunotherapeutic strategies.
Collapse
Affiliation(s)
- Ankita Mitra
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Medical Center, New York, NY 10016, USA
| | - Anoop Kumar
- Molecular Diagnostic Laboratory, National Institute of Biologicals, Noida 201309, Uttar Pradesh, India
| | - Nitin P. Amdare
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, New York, NY 10461, USA
| | - Rajiv Pathak
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, NY 10461, USA
| |
Collapse
|
22
|
Lawler T, Parlato L, Warren Andersen S. The histological and molecular characteristics of early-onset colorectal cancer: a systematic review and meta-analysis. Front Oncol 2024; 14:1349572. [PMID: 38737895 PMCID: PMC11082351 DOI: 10.3389/fonc.2024.1349572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 04/16/2024] [Indexed: 05/14/2024] Open
Abstract
Background Early-onset colorectal cancer (CRC), defined as diagnosis before age 50, has increased in recent decades. Although more often diagnosed at advanced stage, associations with other histological and molecular markers that impact prognosis and treatment remain to be clarified. We conducted a systematic review and meta-analysis concerning the prevalence of prognostic and predictive tumor markers for early- vs. late-onset CRC, including oncogene mutations, microsatellite instability (MSI), and emerging markers including immune cells and the consensus molecular subtypes. Methods We systematically searched PubMed for original research articles published between April 2013-January 2024. Included studies compared the prevalence of tumor markers in early- vs. late-onset CRC. A meta-analysis was completed and summary odds ratios (ORs) with 95% confidence intervals (CIs) were obtained from a random effects model via inverse variance weighting. A sensitivity analysis was completed to restrict the meta-analysis to studies that excluded individuals with Lynch syndrome, a hereditary condition that influences the distribution of tumor markers for early-onset CRC. Results In total, 149 articles were identified. Tumors from early-onset CRC are less likely to include mutations in KRAS (OR, 95% CI: 0.91, 0.85-0.98), BRAF (0.63, 0.51-0.78), APC (0.70, 0.58-0.84), and NRAS (0.88, 0.78-1.00) but more likely to include mutations in PTEN (1.68, 1.04-2.73) and TP53 (1.34, 1.24-1.45). After limiting to studies that excluded Lynch syndrome, the associations between early-onset CRC and BRAF (0.77, 0.64-0.92) and APC mutation (0.81, 0.67-0.97) were attenuated, while an inverse association with PIK3CA mutation was also observed (0.88, 0.78-0.99). Early-onset tumors are less likely to develop along the CpG Island Methylator Phenotype pathway (0.24, 0.10-0.57), but more likely to possess adverse histological features including high tumor grade (1.20, 1.15-1.25), and mucinous (1.22, 1.16-1.27) or signet ring histology (2.32, 2.08-2.57). A positive association with MSI status (1.31, 1.11-1.56) was also identified. Associations with immune markers and the consensus molecular subtypes are inconsistent. Discussion A lower prevalence of mutations in KRAS and BRAF is consistent with extended survival and superior response to targeted therapies for metastatic disease. Conversely, early-onset CRC is associated with aggressive histological subtypes and TP53 and PTEN mutations, which may serve as therapeutic targets.
Collapse
Affiliation(s)
- Thomas Lawler
- School of Medicine and Public Health, Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, United States
| | - Lisa Parlato
- School of Medicine and Public Health, Department of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, United States
| | - Shaneda Warren Andersen
- School of Medicine and Public Health, Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, United States
- School of Medicine and Public Health, Department of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, United States
| |
Collapse
|
23
|
Hijazi A, Bifulco C, Baldin P, Galon J. Digital Pathology for Better Clinical Practice. Cancers (Basel) 2024; 16:1686. [PMID: 38730638 PMCID: PMC11083211 DOI: 10.3390/cancers16091686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 04/24/2024] [Accepted: 04/25/2024] [Indexed: 05/13/2024] Open
Abstract
(1) Background: Digital pathology (DP) is transforming the landscape of clinical practice, offering a revolutionary approach to traditional pathology analysis and diagnosis. (2) Methods: This innovative technology involves the digitization of traditional glass slides which enables pathologists to access, analyze, and share high-resolution whole-slide images (WSI) of tissue specimens in a digital format. By integrating cutting-edge imaging technology with advanced software, DP promises to enhance clinical practice in numerous ways. DP not only improves quality assurance and standardization but also allows remote collaboration among experts for a more accurate diagnosis. Artificial intelligence (AI) in pathology significantly improves cancer diagnosis, classification, and prognosis by automating various tasks. It also enhances the spatial analysis of tumor microenvironment (TME) and enables the discovery of new biomarkers, advancing their translation for therapeutic applications. (3) Results: The AI-driven immune assays, Immunoscore (IS) and Immunoscore-Immune Checkpoint (IS-IC), have emerged as powerful tools for improving cancer diagnosis, prognosis, and treatment selection by assessing the tumor immune contexture in cancer patients. Digital IS quantitative assessment performed on hematoxylin-eosin (H&E) and CD3+/CD8+ stained slides from colon cancer patients has proven to be more reproducible, concordant, and reliable than expert pathologists' evaluation of immune response. Outperforming traditional staging systems, IS demonstrated robust potential to enhance treatment efficiency in clinical practice, ultimately advancing cancer patient care. Certainly, addressing the challenges DP has encountered is essential to ensure its successful integration into clinical guidelines and its implementation into clinical use. (4) Conclusion: The ongoing progress in DP holds the potential to revolutionize pathology practices, emphasizing the need to incorporate powerful AI technologies, including IS, into clinical settings to enhance personalized cancer therapy.
Collapse
Affiliation(s)
- Assia Hijazi
- The French National Institute of Health & Medical Research (INSERM), Laboratory of Integrative Cancer Immunology, F-75006 Paris, France;
- Equipe Labellisée Ligue Contre le Cancer, F-75006 Paris, France
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, F-75006 Paris, France
| | - Carlo Bifulco
- Providence Genomics, Portland, OR 02912, USA;
- Earle A Chiles Research Institute, Portland, OR 97213, USA
| | - Pamela Baldin
- Department of Pathology, Cliniques Universitaires Saint Luc, UCLouvain, 1200 Brussels, Belgium;
| | - Jérôme Galon
- The French National Institute of Health & Medical Research (INSERM), Laboratory of Integrative Cancer Immunology, F-75006 Paris, France;
- Equipe Labellisée Ligue Contre le Cancer, F-75006 Paris, France
- Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, F-75006 Paris, France
- Veracyte, 13009 Marseille, France
| |
Collapse
|
24
|
Mulholland EJ, Leedham SJ. Redefining clinical practice through spatial profiling: a revolution in tissue analysis. Ann R Coll Surg Engl 2024; 106:305-312. [PMID: 38555868 PMCID: PMC10981989 DOI: 10.1308/rcsann.2023.0091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/25/2023] [Indexed: 04/02/2024] Open
Abstract
Spatial biology, which combines molecular biology and advanced imaging, enhances our understanding of tissue cellular organisation. Despite its potential, spatial omics encounters challenges related to data complexity, computational requirements and standardisation of analysis. In clinical applications, spatial omics has the potential to revolutionise biomarker discovery, disease stratification and personalised treatments. It can identify disease-specific cell patterns, and could help risk stratify patients for clinical trials and disease-appropriate therapies. Although there are challenges in adopting it in clinical practice, spatial omics has the potential to significantly enhance patient outcomes. In this paper, we discuss the recent evolution of spatial biology, and its potential for improving our tissue level understanding and treatment of disease, to help advance precision and effectiveness in healthcare interventions.
Collapse
|
25
|
Chen JH, Nieman LT, Spurrell M, Jorgji V, Elmelech L, Richieri P, Xu KH, Madhu R, Parikh M, Zamora I, Mehta A, Nabel CS, Freeman SS, Pirl JD, Lu C, Meador CB, Barth JL, Sakhi M, Tang AL, Sarkizova S, Price C, Fernandez NF, Emanuel G, He J, Van Raay K, Reeves JW, Yizhak K, Hofree M, Shih A, Sade-Feldman M, Boland GM, Pelka K, Aryee MJ, Mino-Kenudson M, Gainor JF, Korsunsky I, Hacohen N. Human lung cancer harbors spatially organized stem-immunity hubs associated with response to immunotherapy. Nat Immunol 2024; 25:644-658. [PMID: 38503922 DOI: 10.1038/s41590-024-01792-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 02/15/2024] [Indexed: 03/21/2024]
Abstract
The organization of immune cells in human tumors is not well understood. Immunogenic tumors harbor spatially localized multicellular 'immunity hubs' defined by expression of the T cell-attracting chemokines CXCL10/CXCL11 and abundant T cells. Here, we examined immunity hubs in human pre-immunotherapy lung cancer specimens and found an association with beneficial response to PD-1 blockade. Critically, we discovered the stem-immunity hub, a subtype of immunity hub strongly associated with favorable PD-1-blockade outcome. This hub is distinct from mature tertiary lymphoid structures and is enriched for stem-like TCF7+PD-1+CD8+ T cells, activated CCR7+LAMP3+ dendritic cells and CCL19+ fibroblasts as well as chemokines that organize these cells. Within the stem-immunity hub, we find preferential interactions between CXCL10+ macrophages and TCF7-CD8+ T cells as well as between mature regulatory dendritic cells and TCF7+CD4+ and regulatory T cells. These results provide a picture of the spatial organization of the human intratumoral immune response and its relevance to patient immunotherapy outcomes.
Collapse
Affiliation(s)
- Jonathan H Chen
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA.
- Department of Pathology, MGH, Boston, MA, USA.
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
| | - Linda T Nieman
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Maxwell Spurrell
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Department of Pathology, MGH, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Vjola Jorgji
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Department of Pathology, MGH, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Liad Elmelech
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Department of Pathology, MGH, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Peter Richieri
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
| | - Katherine H Xu
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
| | - Roopa Madhu
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Division of Genetics, Boston, MA, USA
| | - Milan Parikh
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Izabella Zamora
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Arnav Mehta
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Christopher S Nabel
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Koch Institute for Integrative Cancer Research, Department of Biology, MIT, Cambridge, MA, USA
| | - Samuel S Freeman
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Joshua D Pirl
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Chenyue Lu
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
| | - Catherine B Meador
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Division of Hematology/Oncology, MGH, HMS, Boston, MA, USA
| | | | | | - Alexander L Tang
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Siranush Sarkizova
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | | | | | | | | | | | | | - Keren Yizhak
- Department of Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Matan Hofree
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
- Lautenberg Center for Immunology and Cancer Research, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Angela Shih
- Department of Pathology, MGH, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Moshe Sade-Feldman
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Genevieve M Boland
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Surgery, MGH, Boston, MA, USA
| | - Karin Pelka
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
- Gladstone-UCSF Institute of Genomic Immunology, Gladstone Institutes, San Francisco, CA, USA
| | - Martin J Aryee
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mari Mino-Kenudson
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Department of Pathology, MGH, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Justin F Gainor
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Center for Thoracic Cancers, MGH, Boston, MA, USA.
| | - Ilya Korsunsky
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Brigham and Women's Hospital, Division of Genetics, Boston, MA, USA.
| | - Nir Hacohen
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA.
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
26
|
Zhou X, Qian Y, Ling C, He Z, Shi P, Gao Y, Sui X. An integrated framework for prognosis prediction and drug response modeling in colorectal liver metastasis drug discovery. J Transl Med 2024; 22:321. [PMID: 38555418 PMCID: PMC10981831 DOI: 10.1186/s12967-024-05127-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 03/23/2024] [Indexed: 04/02/2024] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is the third most prevalent cancer globally, and liver metastasis (CRLM) is the primary cause of death. Hence, it is essential to discover novel prognostic biomarkers and therapeutic drugs for CRLM. METHODS This study developed two liver metastasis-associated prognostic signatures based on differentially expressed genes (DEGs) in CRLM. Additionally, we employed an interpretable deep learning model utilizing drug sensitivity databases to identify potential therapeutic drugs for high-risk CRLM patients. Subsequently, in vitro and in vivo experiments were performed to verify the efficacy of these compounds. RESULTS These two prognostic models exhibited superior performance compared to previously reported ones. Obatoclax, a BCL-2 inhibitor, showed significant differential responses between high and low risk groups classified by prognostic models, and demonstrated remarkable effectiveness in both Transwell assay and CT26 colorectal liver metastasis mouse model. CONCLUSIONS This study highlights the significance of developing specialized prognostication approaches and investigating effective therapeutic drugs for patients with CRLM. The application of a deep learning drug response model provides a new drug discovery strategy for translational medicine in precision oncology.
Collapse
Affiliation(s)
- Xiuman Zhou
- School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, 518107, China
| | - Yuzhen Qian
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Chen Ling
- School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, 518107, China
| | - Zhuoying He
- School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, 518107, China
| | - Peishang Shi
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Yanfeng Gao
- School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, 518107, China.
| | - Xinghua Sui
- School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, 518107, China.
| |
Collapse
|
27
|
Sato T, Oshi M, Huang JL, Chida K, Roy AM, Endo I, Takabe K. CD133 expression is associated with less DNA repair, better response to chemotherapy and survival in ER-positive/HER2-negative breast cancer. RESEARCH SQUARE 2024:rs.3.rs-4148608. [PMID: 38585981 PMCID: PMC10996805 DOI: 10.21203/rs.3.rs-4148608/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Purpose CD133, a cancer stem cells (CSC) marker, has been reported to be associated with treatment resistance and worse survival in triple-negative breast cancer (BC). However, the clinical relevance of CD133 expression in ER-positive/HER2-negative (ER+/HER2-) BC, the most abundant subtype, remains unknown. Methods The BC cohorts from the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC, n = 1904) and The Cancer Genome Atlas (TCGA, n = 1065) were used to obtain biological variables and gene expression data. Results Epithelial cells were the exclusive source of CD133 gene expression in a bulk BC. CD133-high ER+/HER2- BC was associated with CD24, NOTCH1, DLL1, and ALDH1A1 gene expressions, as well as with WNT/β-Catenin, Hedgehog, and Notchsignaling pathways, all characteristic for CSC. Consistent with a CSC phenotype, CD133-low BC was enriched with gene sets related to cell proliferation, such as G2M Checkpoint, MYC Targets V1, E2F Targets, and Ki67 gene expression. CD133-low BC was also linked with enrichment of genes related to DNA repair, such as BRCA1, E2F1, E2F4, CDK1/2. On the other hand, CD133-high tumors had proinflammatory microenvironment, higher activity of immune cells, and higher expression of genes related to inflammation and immune response. Finally, CD133-high tumors had better pathological complete response after neoadjuvant chemotherapy in GSE25066 cohort and better disease-free survival and overall survival in both TCGA and METABRIC cohorts. Conclusion CD133-high ER+/HER2- BC was associated with CSC phenotype such as less cell proliferation and DNA repair, but also with enhanced inflammation, better response to neoadjuvant chemotherapy and better prognosis.
Collapse
Affiliation(s)
| | - Masanori Oshi
- Yokohama City University Graduate School of Medicine
| | | | | | | | - Itaru Endo
- Yokohama City University Graduate School of Medicine
| | | |
Collapse
|
28
|
Hummel JJ, Liu D, Tallon E, Snyder J, Warren W, Shyu CR, Mitchem J, Cortese R. Identification of Genomic Signatures for Colorectal Cancer Survival Using Exploratory Data Mining. Int J Mol Sci 2024; 25:3220. [PMID: 38542194 PMCID: PMC10970183 DOI: 10.3390/ijms25063220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 03/01/2024] [Accepted: 03/05/2024] [Indexed: 09/06/2024] Open
Abstract
Clinicopathological presentations are critical for establishing a postoperative treatment regimen in Colorectal Cancer (CRC), although the prognostic value is low in Stage 2 CRC. We implemented a novel exploratory algorithm based on artificial intelligence (explainable artificial intelligence, XAI) that integrates mutational and clinical features to identify genomic signatures by repurposing the FoundationOne Companion Diagnostic (F1CDx) assay. The training data set (n = 378) consisted of subjects with recurrent and non-recurrent Stage 2 or 3 CRC retrieved from TCGA. Genomic signatures were built for identifying subgroups in Stage 2 and 3 CRC patients according to recurrence using genomic parameters and further associations with the clinical presentation. The summarization of the top-performing genomic signatures resulted in a 32-gene genomic signature that could predict tumor recurrence in CRC Stage 2 patients with high precision. The genomic signature was further validated using an independent dataset (n = 149), resulting in high-precision prognosis (AUC: 0.952; PPV = 0.974; NPV = 0.923). We anticipate that our genomic signatures and NCCN guidelines will improve recurrence predictions in CRC molecular stratification.
Collapse
Affiliation(s)
- Justin J. Hummel
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, USA; (J.J.H.); (E.T.); (W.W.); (C.-R.S.); (J.M.)
| | - Danlu Liu
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65212, USA;
| | - Erin Tallon
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, USA; (J.J.H.); (E.T.); (W.W.); (C.-R.S.); (J.M.)
| | - John Snyder
- Department of Statistics, University of Missouri, Columbia, MO 65212, USA;
| | - Wesley Warren
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, USA; (J.J.H.); (E.T.); (W.W.); (C.-R.S.); (J.M.)
- Division of Animal Sciences, University of Missouri, Columbia, MO 65212, USA
- Department of Surgery, University of Missouri, Columbia, MO 65212, USA
| | - Chi-Ren Shyu
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, USA; (J.J.H.); (E.T.); (W.W.); (C.-R.S.); (J.M.)
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65212, USA;
| | - Jonathan Mitchem
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, USA; (J.J.H.); (E.T.); (W.W.); (C.-R.S.); (J.M.)
- Department of Surgery, University of Missouri, Columbia, MO 65212, USA
- Harry S. Truman Memorial Veterans’ Hospital, Columbia, MO 65212, USA
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63130, USA
| | - Rene Cortese
- Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, USA; (J.J.H.); (E.T.); (W.W.); (C.-R.S.); (J.M.)
- Department of Pediatrics, University of Missouri, Columbia, MO 65212, USA
- Department of Gynecology, Obstetrics and Women’s Health, University of Missouri, Columbia, MO 65212, USA
- Ellis Fischel Cancer Center, University of Missouri, Columbia, MO 65212, USA
| |
Collapse
|
29
|
Wu X, Li Y, Wen M, Xie Y, Zeng K, Liu YN, Chen W, Zhao Y. Nanocatalysts for modulating antitumor immunity: fabrication, mechanisms and applications. Chem Soc Rev 2024; 53:2643-2692. [PMID: 38314836 DOI: 10.1039/d3cs00673e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
Immunotherapy harnesses the inherent immune system in the body to generate systemic antitumor immunity, offering a promising modality for defending against cancer. However, tumor immunosuppression and evasion seriously restrict the immune response rates in clinical settings. Catalytic nanomedicines can transform tumoral substances/metabolites into therapeutic products in situ, offering unique advantages in antitumor immunotherapy. Through catalytic reactions, both tumor eradication and immune regulation can be simultaneously achieved, favoring the development of systemic antitumor immunity. In recent years, with advancements in catalytic chemistry and nanotechnology, catalytic nanomedicines based on nanozymes, photocatalysts, sonocatalysts, Fenton catalysts, electrocatalysts, piezocatalysts, thermocatalysts and radiocatalysts have been rapidly developed with vast applications in cancer immunotherapy. This review provides an introduction to the fabrication of catalytic nanomedicines with an emphasis on their structures and engineering strategies. Furthermore, the catalytic substrates and state-of-the-art applications of nanocatalysts in cancer immunotherapy have also been outlined and discussed. The relationships between nanostructures and immune regulating performance of catalytic nanomedicines are highlighted to provide a deep understanding of their working mechanisms in the tumor microenvironment. Finally, the challenges and development trends are revealed, aiming to provide new insights for the future development of nanocatalysts in catalytic immunotherapy.
Collapse
Affiliation(s)
- Xianbo Wu
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan 410083, China.
| | - Yuqing Li
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan 410083, China.
| | - Mei Wen
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan 410083, China.
| | - Yongting Xie
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan 410083, China.
| | - Ke Zeng
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan 410083, China.
| | - You-Nian Liu
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan 410083, China.
| | - Wansong Chen
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan 410083, China.
| | - Yanli Zhao
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 21 Nanyang Link, Singapore 637371, Singapore.
| |
Collapse
|
30
|
Jahangir CA, Page DB, Broeckx G, Gonzalez CA, Burke C, Murphy C, Reis-Filho JS, Ly A, Harms PW, Gupta RR, Vieth M, Hida AI, Kahila M, Kos Z, van Diest PJ, Verbandt S, Thagaard J, Khiroya R, Abduljabbar K, Haab GA, Acs B, Adams S, Almeida JS, Alvarado-Cabrero I, Azmoudeh-Ardalan F, Badve S, Baharun NB, Bellolio ER, Bheemaraju V, Blenman KRM, Fujimoto LBM, Burgues O, Chardas A, Cheang MCU, Ciompi F, Cooper LAD, Coosemans A, Corredor G, Portela FLD, Deman F, Demaria S, Dudgeon SN, Elghazawy M, Fernandez-Martín C, Fineberg S, Fox SB, Giltnane JM, Gnjatic S, Gonzalez-Ericsson PI, Grigoriadis A, Halama N, Hanna MG, Harbhajanka A, Hart SN, Hartman J, Hewitt S, Horlings HM, Husain Z, Irshad S, Janssen EAM, Kataoka TR, Kawaguchi K, Khramtsov AI, Kiraz U, Kirtani P, Kodach LL, Korski K, Akturk G, Scott E, Kovács A, Lænkholm AV, Lang-Schwarz C, Larsimont D, Lennerz JK, Lerousseau M, Li X, Madabhushi A, Maley SK, Narasimhamurthy VM, Marks DK, McDonald ES, Mehrotra R, Michiels S, Kharidehal D, Minhas FUAA, Mittal S, Moore DA, Mushtaq S, Nighat H, Papathomas T, Penault-Llorca F, Perera RD, Pinard CJ, Pinto-Cardenas JC, Pruneri G, Pusztai L, Rajpoot NM, Rapoport BL, Rau TT, Ribeiro JM, Rimm D, Vincent-Salomon A, Saltz J, Sayed S, Hytopoulos E, Mahon S, Siziopikou KP, Sotiriou C, Stenzinger A, Sughayer MA, Sur D, Symmans F, Tanaka S, Taxter T, Tejpar S, Teuwen J, Thompson EA, Tramm T, Tran WT, van der Laak J, Verghese GE, Viale G, Wahab N, Walter T, Waumans Y, Wen HY, Yang W, Yuan Y, Bartlett J, Loibl S, Denkert C, Savas P, Loi S, Stovgaard ES, Salgado R, Gallagher WM, Rahman A. Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer. J Pathol 2024; 262:271-288. [PMID: 38230434 PMCID: PMC11288342 DOI: 10.1002/path.6238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 11/17/2023] [Indexed: 01/18/2024]
Abstract
Recent advances in the field of immuno-oncology have brought transformative changes in the management of cancer patients. The immune profile of tumours has been found to have key value in predicting disease prognosis and treatment response in various cancers. Multiplex immunohistochemistry and immunofluorescence have emerged as potent tools for the simultaneous detection of multiple protein biomarkers in a single tissue section, thereby expanding opportunities for molecular and immune profiling while preserving tissue samples. By establishing the phenotype of individual tumour cells when distributed within a mixed cell population, the identification of clinically relevant biomarkers with high-throughput multiplex immunophenotyping of tumour samples has great potential to guide appropriate treatment choices. Moreover, the emergence of novel multi-marker imaging approaches can now provide unprecedented insights into the tumour microenvironment, including the potential interplay between various cell types. However, there are significant challenges to widespread integration of these technologies in daily research and clinical practice. This review addresses the challenges and potential solutions within a structured framework of action from a regulatory and clinical trial perspective. New developments within the field of immunophenotyping using multiplexed tissue imaging platforms and associated digital pathology are also described, with a specific focus on translational implications across different subtypes of cancer. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Collapse
Affiliation(s)
- Chowdhury Arif Jahangir
- UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - David B Page
- Earle A Chiles Research Institute, Providence Cancer Institute, Portland, OR, USA
| | - Glenn Broeckx
- Department of Pathology PA, GZA-ZNA Hospitals, Antwerp, Belgium
- Centre for Oncological Research (CORE), MIPPRO, Faculty of Medicine, Antwerp University, Antwerp, Belgium
| | - Claudia A Gonzalez
- UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Caoimbhe Burke
- UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Clodagh Murphy
- UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Jorge S Reis-Filho
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Amy Ly
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Paul W Harms
- Departments of Pathology and Dermatology, University of Michigan, Ann Arbor, Ml, USA
| | - Rajarsi R Gupta
- Department of Biomedical informatics, Stony Brook University, Stony Brook, NY, USA
| | - Michael Vieth
- Institute of Pathology, Klinikum Bayreuth GmbH, Friedrich-Alexander-University Erlangen-Nuremberg, Bayreuth, Germany
| | - Akira I Hida
- Department of Pathology, Matsuyama Shimin Hospital, Matsuyama, Japan
| | - Mohamed Kahila
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Zuzana Kos
- Department of Pathology and Laboratory Medicine, University of British Columbia, BC Cancer, Vancouver, British Columbia, Canada
| | - Paul J van Diest
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
- Johns Hopkins Oncology Center, Baltimore, MD, USA
| | - Sara Verbandt
- Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Jeppe Thagaard
- Technical University of Denmark, Kgs. Lyngby, Denmark
- Visiopharm A/S, Hørsholm, Denmark
| | - Reena Khiroya
- Department of Cellular Pathology, University College Hospital, London, UK
| | - Khalid Abduljabbar
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | | | - Balazs Acs
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Sylvia Adams
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
- Department of Medicine, NYU Grossman School of Medicine, Manhattan, NY, USA
| | - Jonas S Almeida
- Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), Rockville, MD, USA
| | | | | | - Sunil Badve
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Emory University Winship Cancer Institute, Atlanta, GA, USA
| | | | - Enrique R Bellolio
- Departamento de Anatomía Patológica, Facultad de Medicina, Universidad de La Frontera, Temuco, Chile
| | | | - Kim RM Blenman
- Department of internal Medicine Section of Medical Oncology and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
- Department of Computer Science, Yale School of Engineering and Applied Science, New Haven, CT, USA
| | | | - Octavio Burgues
- Pathology Department, Hospital Cliníco Universitario de Valencia/lncliva, Valencia, Spain
| | - Alexandros Chardas
- Department of Pathobiology & Population Sciences, The Royal Veterinary College, London, UK
| | - Maggie Chon U Cheang
- Head of Integrative Genomics Analysis in Clinical Trials, ICR-CTSU, Division of Clinical Studies, The Institute of Cancer Research, London, UK
| | - Francesco Ciompi
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Lee AD Cooper
- Department of Pathology, Northwestern Feinberg School of Medicine, Chicago, IL, USA
| | - An Coosemans
- Department of Oncology, Laboratory of Tumor Immunology and Immunotherapy, KU Leuven, Leuven, Belgium
| | - Germán Corredor
- Biomedical Engineering Department, Emory University, Atlanta, GA, USA
| | | | - Frederik Deman
- Department of Pathology PA, GZA-ZNA Hospitals, Antwerp, Belgium
| | - Sandra Demaria
- Department of Radiation Oncology, Weill Cornell Medical College, New York, NY, USA
- Department of Pathology, Weill Cornell Medicine, New York NY, USA
| | - Sarah N Dudgeon
- Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Mahmoud Elghazawy
- University of Surrey, Guildford, UK
- Ain Shams University, Cairo, Egypt
| | - Claudio Fernandez-Martín
- Institute Universitario de Investigatión en Tecnología Centrada en el Ser Humano, HUMAN-tech, Universitat Politècnica de València, Valencia, Spain
| | - Susan Fineberg
- Montefiore Medical Center and the Albert Einstein College of Medicine, New York, NY, USA
| | - Stephen B Fox
- Pathology, Peter MacCallum Cancer Centre and Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | | | - Sacha Gnjatic
- Department of Oncological Sciences, Medicine Hem/One, and Pathology, Tisch Cancer Institute – Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York NY, USA
| | | | - Anita Grigoriadis
- Cancer Bioinformatics, Faculty of Life Sciences and Medicine, School of Cancer & Pharmaceutical Sciences, King’s College London, London, UK
- The Breast Cancer Now Research Unit Faculty of Life Sciences and Medicine, School of Cancer and Pharmaceutical Sciences, King’s College London, London, UK
| | - Niels Halama
- Department of Translational Immunotherapy, German Cancer Research Center, Heidelberg, Germany
| | | | | | - Steven N Hart
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Johan Hartman
- Tehran University of Medical Sciences, Tehran, Iran
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Stephen Hewitt
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hugo M Horlings
- Division of Pathology, Netherlands Cancer Institute (NKI), Amsterdam, The Netherlands
| | | | - Sheeba Irshad
- King's College London & Guys & St Thomas NHS Trust London, UK
| | - Emiel AM Janssen
- Department of Pathology, Stavanger University Hospital, Stavanger, Norway
- Department of Chemistry, Bioscience and Environmental Technology, University of Stavanger, Stavanger, Norway
| | | | - Kosuke Kawaguchi
- Department of Breast Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Andrey I Khramtsov
- Department of Pathology and Laboratory Medicine, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
| | - Umay Kiraz
- Department of Pathology, Stavanger University Hospital, Stavanger, Norway
- Department of Chemistry, Bioscience and Environmental Technology, University of Stavanger, Stavanger, Norway
| | - Pawan Kirtani
- Histopathology, Aakash Healthcare Super Speciality Hospital, New Delhi, India
| | - Liudmila L Kodach
- Department of Pathology, Netherlands Cancer Institute – Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Konstanty Korski
- Data, Analytics and Imaging, Product Development, F. Hoffmann-La Roche AG, Basel, Switzerland
| | - Guray Akturk
- Translational Molecular Biomarkers, Merck & Co., Inc., Kenilworth, NJ, USA
| | - Ely Scott
- Translational Medicine, Bristol Myers Squibb, Princeton, NJ, USA
| | - Anikó Kovács
- Department of Clinical Pathology, Sahlgrenska University Hospital, Gothenburg, Sweden
- Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anne-Vibeke Lænkholm
- Department of Surgical Pathology, Zealand University Hospital, Roskilde, Denmark
- Department of Surgical Pathology, University of Copenhagen, Copenhagen, Denmark
| | - Corinna Lang-Schwarz
- Institute of Pathology, Klinikum Bayreuth GmbH, Friedrich-Alexander-University Erlangen-Nuremberg, Bayreuth, Germany
| | - Denis Larsimont
- Institut Jules Bordet Université Libre de Bruxelles, Brussels, Belgium
| | - Jochen K Lennerz
- Center for Integrated Diagnostics, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
| | - Marvin Lerousseau
- Centre for Computational Biology (CBIO), Mines Paris, PSL University, Paris, France
- Institut Curie, PSL University, Paris, France
- INSERM U900, Paris, France
| | - Xiaoxian Li
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA, USA
| | - Anant Madabhushi
- Department of Biomedical Engineering, Radiology and Imaging Sciences, Biomedical Informatics, Pathology, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Sai K Maley
- NRG Oncology/NSABP Foundation, Pittsburgh, PA, USA
| | | | - Douglas K Marks
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | - Elizabeth S McDonald
- Breast Cancer Translational Research Group, University of Pennsylvania, Philadelphia, PA, USA
| | - Ravi Mehrotra
- Indian Cancer Genomic Atlas, Pune, India
- Centre for Health, Innovation and Policy Foundation, Noida, India
| | - Stefan Michiels
- Office of Biostatistics and Epidemiology, Gustave Roussy, Oncostat U1018, Inserm, University Paris-Saclay, Ligue Contre le Cancer labeled Team, Villejuif France
| | - Durga Kharidehal
- Department of Pathology, Narayana Medical College and Hospital, Nellore, India
| | - Fayyaz ul Amir Afsar Minhas
- Tissue Image Analytics Centre, Warwick Cancer Research Centre, PathLAKE Consortium, Department of Computer Science, University of Warwick, Coventry, UK
| | - Shachi Mittal
- Department of Chemical Engineering, Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - David A Moore
- CRUK Lung Cancer Centre of Excellence, UCL and Cellular Pathology Department UCLH, London, UK
| | - Shamim Mushtaq
- Department of Biochemistry, Ziauddin University, Karachi, Pakistan
| | - Hussain Nighat
- Pathology and Laboratory Medicine, All India Institute of Medical Sciences, Raipur, India
| | - Thomas Papathomas
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Department of Clinical Pathology, Drammen Sykehus, Vestre Viken HF, Drammen, Norway
| | - Frederique Penault-Llorca
- Service de Pathologie et Biopathologie, Centre Jean PERRIN, INSERM U1240 Imagerie Moléculaire et Stratégies Théranostiques (IMoST), Université Clermont Auvergne, Clermont-Ferrand, France
| | - Rashindrie D Perera
- School of Electrical, Mechanical and Infrastructure Engineering, University of Melbourne, Melbourne, Victoria, Australia
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Christopher J Pinard
- Radiogenomics Laboratory, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada
- Department of Oncology, Lakeshore Animal Health Partners, Mississauga, Ontario, Canada
- Centre for Advancing Responsible and Ethical Artificial Intelligence (CARE-AI), University of Guelph, Guelph, Ontario, Canada
| | | | - Giancarlo Pruneri
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
- Faculty of Medicine and Surgery, University of Milan, Milan, Italy
| | - Lajos Pusztai
- Yale Cancer Center, Yale University, New Haven, CT, USA
- Department of Medical Oncology, Yale School of Medicine, Yale University, New Haven, CT, USA
| | | | - Bernardo Leon Rapoport
- The Medical Oncology Centre of Rosebank Johannesburg South Africa
- Department of Immunology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Tilman T Rau
- Institute of Pathology, University Hospital Düsseldorf and Heinrich-Heine-University, Düsseldorf Germany
| | | | - David Rimm
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Anne Vincent-Salomon
- Department of Diagnostic and Theranostic Medicine, Institut Curie, University Paris-Sciences et Lettres, Paris, France
| | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook Medicine, New York NY, USA
| | - Shahin Sayed
- Department of Pathology, Aga Khan University, Nairobi, Kenya
| | - Evangelos Hytopoulos
- Department of Pathology, Aga Khan University, Nairobi, Kenya
- iRhythm Technologies Inc., San Francisco, CA, USA
| | - Sarah Mahon
- Mater Misericordiae University Hospital, Dublin, Ireland
| | - Kalliopi P Siziopikou
- Department of Pathology, Section of Breast Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Christos Sotiriou
- Breast Cancer Translational Research Laboratory J.-C. Heuson, Institut Jules Bordet Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
- Medical Oncology Department Institut Jules Bordet Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Albrecht Stenzinger
- Institute of Pathology, University Hospital Heidelberg, Centers for Personalized Medicine (ZPM), Heidelberg, Germany
| | | | - Daniel Sur
- Department of Medical Oncology, University of Medicine and Pharmacy “luliu Hatieganu ”, Cluj-Napoca, Romania
| | - Fraser Symmans
- University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | | | - Sabine Tejpar
- Digestive Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Jonas Teuwen
- Al for Oncology Lab, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Trine Tramm
- Department of Pathology, Institute of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - William T Tran
- Department of Radiation Oncology, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Jeroen van der Laak
- Head of Integrative Genomics Analysis in Clinical Trials, ICR-CTSU, Division of Clinical Studies, The Institute of Cancer Research, London, UK
| | - Gregory E Verghese
- Cancer Bioinformatics, Faculty of Life Sciences and Medicine, School of Cancer & Pharmaceutical Sciences, King’s College London, London, UK
- The Breast Cancer Now Research Unit Faculty of Life Sciences and Medicine, School of Cancer and Pharmaceutical Sciences, King’s College London, London, UK
| | - Giuseppe Viale
- Department of Pathology, European Institute of Oncology & University of Milan, Milan, Italy
| | - Noorul Wahab
- Tissue Image Analytics Centre, Department of Computer Science, University of Wanwick Coventry, UK
| | - Thomas Walter
- Centre for Computational Biology (CBIO), Mines Paris, PSL University, Paris, France
- Institut Curie, PSL University, Paris, France
- INSERM U900, Paris, France
| | | | - Hannah Y Wen
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wentao Yang
- Fudan Medical University Shanghai Cancer Center, Shanghai, PR China
| | - Yinyin Yuan
- Department of Translational Molecular Pathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Sibylle Loibl
- Department of Medicine and Research, German Breast Group, Neu-lsenburg Germany
| | - Carsten Denkert
- Institut für Pathologie, Philipps-Universität Marburg und Universitätsklinikum Marburg, Marburg, Germany
| | - Peter Savas
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- The Sir Peter MacCallum Department of Medical Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Sherene Loi
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
| | | | - Roberto Salgado
- Department of Pathology PA, GZA-ZNA Hospitals, Antwerp, Belgium
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - William M Gallagher
- UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Arman Rahman
- UCD School of Medicine, UCD Conway Institute, University College Dublin, Dublin, Ireland
| |
Collapse
|
31
|
Li XM, Yang Y, Jiang FQ, Hu G, Wan S, Yan WY, He XS, Xiao F, Yang XM, Guo X, Lu JH, Yang XQ, Chen JJ, Ye WL, Liu Y, He K, Duan HX, Zhou YJ, Gan WJ, Liu F, Wu H. Histone lactylation inhibits RARγ expression in macrophages to promote colorectal tumorigenesis through activation of TRAF6-IL-6-STAT3 signaling. Cell Rep 2024; 43:113688. [PMID: 38245869 DOI: 10.1016/j.celrep.2024.113688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 12/06/2023] [Accepted: 01/03/2024] [Indexed: 01/23/2024] Open
Abstract
Macrophages are phenotypically and functionally diverse in the tumor microenvironment (TME). However, how to remodel macrophages with a protumor phenotype and how to manipulate them for therapeutic purposes remain to be explored. Here, we show that in the TME, RARγ is downregulated in macrophages, and its expression correlates with poor prognosis in patients with colorectal cancer (CRC). In macrophages, RARγ interacts with tumor necrosis factor receptor-associated factor 6 (TRAF6), which prevents TRAF6 oligomerization and autoubiquitination, leading to inhibition of nuclear factor κB signaling. However, tumor-derived lactate fuels H3K18 lactylation to prohibit RARγ gene transcription in macrophages, consequently enhancing interleukin-6 (IL-6) levels in the TME and endowing macrophages with tumor-promoting functions via activation of signal transducer and activator of transcription 3 (STAT3) signaling in CRC cells. We identified that nordihydroguaiaretic acid (NDGA) exerts effective antitumor action by directly binding to RARγ to inhibit TRAF6-IL-6-STAT3 signaling. This study unravels lactate-driven macrophage function remodeling by inhibition of RARγ expression and highlights NDGA as a candidate compound for treating CRC.
Collapse
Affiliation(s)
- Xiu-Ming Li
- Department of Pathology, Medical Center of Soochow University and Suzhou Medical College of Soochow University and YongDing Clinical Institute of Soochow University, Soochow University, Suzhou 215123, China
| | - Yun Yang
- Department of Pathology, Medical Center of Soochow University and Suzhou Medical College of Soochow University and YongDing Clinical Institute of Soochow University, Soochow University, Suzhou 215123, China
| | - Fu-Quan Jiang
- School of Pharmaceutical Sciences, Xiamen University, Xiamen 361102, China
| | - Guang Hu
- Department of Bioinformatics, Suzhou Medical College of Soochow University, Soochow University, Suzhou 215123, China
| | - Shan Wan
- Department of Pathology, Medical Center of Soochow University and Suzhou Medical College of Soochow University and YongDing Clinical Institute of Soochow University, Soochow University, Suzhou 215123, China
| | - Wen-Ying Yan
- Department of Bioinformatics, Suzhou Medical College of Soochow University, Soochow University, Suzhou 215123, China
| | - Xiao-Shun He
- Department of Pathology, Medical Center of Soochow University and Suzhou Medical College of Soochow University and YongDing Clinical Institute of Soochow University, Soochow University, Suzhou 215123, China
| | - Fei Xiao
- Department of Bioinformatics, Suzhou Medical College of Soochow University, Soochow University, Suzhou 215123, China
| | - Xue-Mei Yang
- Department of Pathology, Medical Center of Soochow University and Suzhou Medical College of Soochow University and YongDing Clinical Institute of Soochow University, Soochow University, Suzhou 215123, China
| | - Xin Guo
- Department of Pathology, Medical Center of Soochow University and Suzhou Medical College of Soochow University and YongDing Clinical Institute of Soochow University, Soochow University, Suzhou 215123, China
| | - Jun-Hou Lu
- Department of Pathology, Medical Center of Soochow University and Suzhou Medical College of Soochow University and YongDing Clinical Institute of Soochow University, Soochow University, Suzhou 215123, China
| | - Xiao-Qin Yang
- Department of Bioinformatics, Suzhou Medical College of Soochow University, Soochow University, Suzhou 215123, China
| | - Jun-Jie Chen
- School of Pharmaceutical Sciences, Xiamen University, Xiamen 361102, China
| | - Wen-Long Ye
- Department of Pathology, Medical Center of Soochow University and Suzhou Medical College of Soochow University and YongDing Clinical Institute of Soochow University, Soochow University, Suzhou 215123, China
| | - Yue Liu
- Department of Pathology, Medical Center of Soochow University and Suzhou Medical College of Soochow University and YongDing Clinical Institute of Soochow University, Soochow University, Suzhou 215123, China
| | - Kuang He
- Department of Pathology, Medical Center of Soochow University and Suzhou Medical College of Soochow University and YongDing Clinical Institute of Soochow University, Soochow University, Suzhou 215123, China
| | - Han-Xiao Duan
- Department of Pathology, Medical Center of Soochow University and Suzhou Medical College of Soochow University and YongDing Clinical Institute of Soochow University, Soochow University, Suzhou 215123, China
| | - Yu-Jia Zhou
- Department of Pathology, Medical Center of Soochow University and Suzhou Medical College of Soochow University and YongDing Clinical Institute of Soochow University, Soochow University, Suzhou 215123, China
| | - Wen-Juan Gan
- Department of Pathology, Medical Center of Soochow University and Suzhou Medical College of Soochow University and YongDing Clinical Institute of Soochow University, Soochow University, Suzhou 215123, China.
| | - Feng Liu
- Department of Pathology, Medical Center of Soochow University and Suzhou Medical College of Soochow University and YongDing Clinical Institute of Soochow University, Soochow University, Suzhou 215123, China.
| | - Hua Wu
- Department of Pathology, Medical Center of Soochow University and Suzhou Medical College of Soochow University and YongDing Clinical Institute of Soochow University, Soochow University, Suzhou 215123, China.
| |
Collapse
|
32
|
An SX, Yu ZJ, Fu C, Wei MJ, Shen LH. Biological factors driving colorectal cancer metastasis. World J Gastrointest Oncol 2024; 16:259-272. [PMID: 38425391 PMCID: PMC10900157 DOI: 10.4251/wjgo.v16.i2.259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 12/23/2023] [Accepted: 01/08/2024] [Indexed: 02/02/2024] Open
Abstract
Approximately 20% of colorectal cancer (CRC) patients present with metastasis at diagnosis. Among Stage I-III CRC patients who undergo surgical resection, 18% typically suffer from distal metastasis within the first three years following initial treatment. The median survival duration after the diagnosis of metastatic CRC (mCRC) is only 9 mo. mCRC is traditionally considered to be an advanced stage malignancy or is thought to be caused by incomplete resection of tumor tissue, allowing cancer cells to spread from primary to distant organs; however, increasing evidence suggests that the mCRC process can begin early in tumor development. CRC patients present with high heterogeneity and diverse cancer phenotypes that are classified on the basis of molecular and morphological alterations. Different genomic and nongenomic events can induce subclone diversity, which leads to cancer and metastasis. Throughout the course of mCRC, metastatic cascades are associated with invasive cancer cell migration through the circulatory system, extravasation, distal seeding, dormancy, and reactivation, with each step requiring specific molecular functions. However, cancer cells presenting neoantigens can be recognized and eliminated by the immune system. In this review, we explain the biological factors that drive CRC metastasis, namely, genomic instability, epigenetic instability, the metastatic cascade, the cancer-immunity cycle, and external lifestyle factors. Despite remarkable progress in CRC research, the role of molecular classification in therapeutic intervention remains unclear. This review shows the driving factors of mCRC which may help in identifying potential candidate biomarkers that can improve the diagnosis and early detection of mCRC cases.
Collapse
Affiliation(s)
- Shuai-Xing An
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang 110122, Liaoning Province, China
- Liaoning Key Laboratory of Molecular Targeted Antitumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors (China Medical University), Ministry of Education, Shenyang 110122, Liaoning Province, China
- BD Department, Greenpine Pharma Group Co., Ltd, Tianjin 300020, China
| | - Zhao-Jin Yu
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang 110122, Liaoning Province, China
- Liaoning Key Laboratory of Molecular Targeted Antitumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors (China Medical University), Ministry of Education, Shenyang 110122, Liaoning Province, China
| | - Chen Fu
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang 110122, Liaoning Province, China
- Liaoning Key Laboratory of Molecular Targeted Antitumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors (China Medical University), Ministry of Education, Shenyang 110122, Liaoning Province, China
| | - Min-Jie Wei
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang 110122, Liaoning Province, China
- Liaoning Key Laboratory of Molecular Targeted Antitumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors (China Medical University), Ministry of Education, Shenyang 110122, Liaoning Province, China
| | - Long-Hai Shen
- Center of Oncology, Genertec Liaoyou Gem Flower Hospital, PanJin 124010, Liaoning Province, China
| |
Collapse
|
33
|
Kong X, Li Q, Wang D, Wang M, Yang F, Meng J. Mechanism of Qizhen decoction-mediated maturation of DC cells to activate the IL-12/JAK2/STAT4 pathway to sensitise PD-1 inhibitors in the treatment of colorectal cancer. JOURNAL OF ETHNOPHARMACOLOGY 2024; 320:117399. [PMID: 37956913 DOI: 10.1016/j.jep.2023.117399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 11/05/2023] [Accepted: 11/06/2023] [Indexed: 11/20/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Traditional Chinese medicine has been utilized to treat colorectal cancer (CRC). Qizhen decoction (QZD), a potential compound prescription of traditional Chinese medicine, possesses multiple biological activities. It has been used to treat CRC in clinical practice and has been proven to be effective. AIM OF THE STUDY To investigate the impact of QZD supported by intestinal flora in combination with PD-1 inhibitor on colorectal cancer, and to elucidate the mechanism by which QZD enhances the sensitivity of PD-1 inhibitor against colorectal cancer. MATERIALS AND METHODS Observation of Intestinal Flora Mediating the Effect of QZD Combined with PD-1 Inhibitor in the Treatment of Colorectal Cancer. We used Flow cytometry and qPCR to detect the effect of QZD combined with PD-1 inhibitor on the activation of effector T cells in a wild mouse model of colorectal cancer. In wild and germ-free mouse models, the differences in inflammatory factors, pathological change, body mass, colorectal length, and tumour load were observed. In the study of the mechanism of QZD combined with PD-1 inhibitor in the treatment of colorectal cancer, the study evaluated the abundance of Akkermansia, the phenotypes of effector T cells and DC cells, as well as inflammatory factors in each group of mice to determine whether Akkermansia played a role in activating DC cells. Based on the JAK2/TYK2/STAT4 pathway, the mechanism of PD-1 inhibitor sensitisation by QZD in colorectal cancer was further investigated. RESULTS We found that QZD combined with PD-1 inhibitor could improve the therapeutic effect on colorectal cancer by inducing more critical immune functions. QZD promotes increased Akkermansia abundance in the gut. Akkermansia promotes maturation of DC cells, and mature DC cells activate the IL-12/JAK2/STAT4 pathway, which significantly activates effector T cells. Akkermansia is key to QZD combined with PD-1 inhibitor-mediated immunity exerting a therapeutic effect on colorectal cancer. CONCLUSION The mechanism of action of the QZD sensitizing PD-1 inhibitor is to promote the maturation of DC cells to release IL-12 and activate the JAK2/STAT4 pathway to induce effector T cell activation by increasing the abundance of Akkermansia.
Collapse
Affiliation(s)
- Xianbin Kong
- College of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
| | - Qingbo Li
- College of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
| | - Dong Wang
- College of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
| | - Miao Wang
- College of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
| | - Fan Yang
- College of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
| | - Jingyan Meng
- College of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
| |
Collapse
|
34
|
Rodrigo JP, Sánchez-Canteli M, Otero-Rosales M, Martínez-Camblor P, Hermida-Prado F, García-Pedrero JM. Tumor mutational burden predictability in head and neck squamous cell carcinoma patients treated with immunotherapy: systematic review and meta-analysis. J Transl Med 2024; 22:135. [PMID: 38311741 PMCID: PMC10840180 DOI: 10.1186/s12967-024-04937-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 01/27/2024] [Indexed: 02/06/2024] Open
Abstract
BACKGROUND Tumor mutational burden (TMB) has been demonstrated to predict the response to immune checkpoint inhibitors (ICIs) in various cancers. However, the role of TMB in head and neck squamous cell carcinoma (HNSCC) has not yet been specifically addressed. Since HNSCC patients exhibit a rather limited response to ICIs, there is an unmet need to develop predictive biomarkers to improve patient selection criteria and the clinical benefit of ICI treatment. METHODS We conducted a systematic review and meta-analysis according to Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines. HNSCC cohort studies were selected when TMB prior to ICI treatment was evaluated, TMB cutoff value was available, and the prognostic value of TMB was evaluated by time-to-event survival analysis. A total of 11 out of 1960 articles were analyzed, including 1200 HNSCC patients. RESULTS The results showed that those patients harboring high TMB exhibited a significantly superior overall response rate (OR = 2.62; 95% CI 1.74-3.94; p < 0.0001) and a survival advantage (HR = 0.53; 95% CI 0.39-0.71; p < 0.0001) after ICI treatment. CONCLUSION This is the first meta-analysis to demonstrate a higher response and clinical benefit from ICI therapy in HNSCC patients with high TMB.
Collapse
Affiliation(s)
- Juan P Rodrigo
- Department of Otolaryngology, Hospital Universitario Central de Asturias and Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto Universitario de Oncología del Principado de Asturias, University of Oviedo, 33011, Oviedo, Spain
- Ciber de Cáncer, CIBERONC, 28029, Madrid, Spain
| | - Mario Sánchez-Canteli
- Ciber de Cáncer, CIBERONC, 28029, Madrid, Spain.
- Department of Otolaryngology, Hospital Universitario de Cabueñes and Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011, Oviedo, Spain.
| | - María Otero-Rosales
- Department of Otolaryngology, Hospital Universitario Central de Asturias and Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto Universitario de Oncología del Principado de Asturias, University of Oviedo, 33011, Oviedo, Spain
- Ciber de Cáncer, CIBERONC, 28029, Madrid, Spain
| | - Pablo Martínez-Camblor
- Department of Anesthesiology, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- Faculty of Health Sciences, Universidad Autonoma de Chile, 7500912, Providencia, Chile
| | - Francisco Hermida-Prado
- Department of Otolaryngology, Hospital Universitario Central de Asturias and Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto Universitario de Oncología del Principado de Asturias, University of Oviedo, 33011, Oviedo, Spain
- Ciber de Cáncer, CIBERONC, 28029, Madrid, Spain
| | - Juana M García-Pedrero
- Department of Otolaryngology, Hospital Universitario Central de Asturias and Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto Universitario de Oncología del Principado de Asturias, University of Oviedo, 33011, Oviedo, Spain
- Ciber de Cáncer, CIBERONC, 28029, Madrid, Spain
| |
Collapse
|
35
|
Nair SG, Benny S, Jose WM, Aneesh T P. Beta-blocker adjunct therapy as a prospective anti-metastatic with cardio-oncologic regulation. Clin Exp Metastasis 2024; 41:9-24. [PMID: 38177715 DOI: 10.1007/s10585-023-10258-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 12/12/2023] [Indexed: 01/06/2024]
Abstract
The prevailing treatment stratagem in cancer therapy still challenges the dilemma of a probable metastatic spread following an initial diagnosis. Including an anti-metastatic agent demands a significant focus to overrule the incidence of treatment failures. Adrenergic stimulation underlying the metastatic spread paved the way for beta blockers as a breakthrough in repurposing as an anti-metastatic agent. However, the current treatment approach fails to fully harness the versatile potential of the drug in inhibiting probable metastasis. The beta blockers were seen to show a myriad of grip over the pro-metastatic and prognostic parameters of the patient. Novel interventions in immune therapy, onco-hypertension, surgery-induced stress, induction of apoptosis and angiogenesis inhibition have been used as evidence to interpret our objective of discussing the potential adjuvant role of the drug in the existing anti-cancer regimens. Adding weight to the relative incidence of onco-hypertension as an unavoidable side effect from chemotherapy, the slot for an anti-hypertensive agent is necessitated, and we try to suggest beta-blockers to fill this position. However, pointing out the paucity in the clinical study, we aim to review the current status of beta blockers under this interest to state how the drug should be included as a drug of choice in every patient undergoing cancer treatment.
Collapse
Affiliation(s)
- Sachin G Nair
- Department of Pharmacy Practice, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, AIMS Health Sciences Campus, Kochi, Kerala, 682041, India
| | - Sonu Benny
- Department of Pharmaceutical Chemistry, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, AIMS Health Sciences Campus, Kochi, Kerala, 682041, India
| | - Wesley M Jose
- Department of Medical Oncology, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, AIMS PO, Kochi, Kerala, 682041, India.
| | - Aneesh T P
- Department of Pharmaceutical Chemistry, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, AIMS Health Sciences Campus, Kochi, Kerala, 682041, India.
| |
Collapse
|
36
|
Broholm M, Vogelsang R, Bulut M, Gögenur M, Stigaard T, Orhan A, Schefte X, Fiehn AMK, Gehl J, Gögenur I. Neoadjuvant calcium electroporation for potentially curable colorectal cancer. Surg Endosc 2024; 38:697-705. [PMID: 38017160 DOI: 10.1007/s00464-023-10557-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 10/22/2023] [Indexed: 11/30/2023]
Abstract
BACKGROUND The development of new perioperative treatment modalities to activate the immune system in colorectal cancer might have a beneficial effect on reducing the risk of recurrence after surgery. Calcium electroporation is a promising treatment modality that potentially modulates the tumor microenvironment. The aim of this study was to evaluate the safety of the procedure in the neoadjuvant setting in localized left-sided colorectal cancer (CRC). METHODS The study included patients with potentially curable sigmoid or rectal cancer with no indication for other neoadjuvant treatment. Patients were offered calcium electroporation as a neoadjuvant treatment before elective surgery. Follow-up visits were conducted on the preoperative day before elective surgery, POD2, POD14, and POD30, with an evaluation of adverse events, impact on elective surgery, clinical examination, and quality of recovery. RESULTS Endoscopic calcium electroporation was performed as an outpatient procedure in all 21 cases, with no procedure-related complications reported. At follow-up, five adverse events were registered, two of which were classified as serious adverse events. Surgery was performed as planned in 19 patients (median time to surgery, 8 days), and the final two patients underwent surgery with a delay due to adverse events (14 and 33 days). No significant impact on the quality of recovery scores nor inflammatory markers were seen before and after calcium electroporation, nor baseline and POD30. CONCLUSIONS Endoscopic calcium electroporation is a safe and feasible procedure in patients with potentially curable CRC. The study showed limited side effects and limited impact on the following elective surgical resection.
Collapse
Affiliation(s)
- M Broholm
- Department of Surgery, Zealand University Hospital, Center for Surgical Science, Lykkebaekvej 1, 4600, Koege, Denmark.
| | - R Vogelsang
- Department of Surgery, Zealand University Hospital, Center for Surgical Science, Lykkebaekvej 1, 4600, Koege, Denmark
| | - M Bulut
- Department of Surgery, Zealand University Hospital, Center for Surgical Science, Lykkebaekvej 1, 4600, Koege, Denmark
- Department of Clinical Medicine, Copenhagen University, Copenhagen, Denmark
| | - M Gögenur
- Department of Surgery, Zealand University Hospital, Center for Surgical Science, Lykkebaekvej 1, 4600, Koege, Denmark
| | - T Stigaard
- Department of Surgery, Zealand University Hospital, Center for Surgical Science, Lykkebaekvej 1, 4600, Koege, Denmark
| | - A Orhan
- Department of Surgery, Zealand University Hospital, Center for Surgical Science, Lykkebaekvej 1, 4600, Koege, Denmark
- Department of Clinical Oncology and Palliative Care, Zealand University Hospital, Roskilde, Denmark
| | - X Schefte
- Department of Surgery, Zealand University Hospital, Center for Surgical Science, Lykkebaekvej 1, 4600, Koege, Denmark
| | - A M K Fiehn
- Department of Surgery, Zealand University Hospital, Center for Surgical Science, Lykkebaekvej 1, 4600, Koege, Denmark
- Department of Pathology, Zealand University Hospital, Roskilde, Denmark
| | - J Gehl
- Department of Clinical Oncology and Palliative Care, Zealand University Hospital, Roskilde, Denmark
- Department of Clinical Medicine, Copenhagen University, Copenhagen, Denmark
| | - I Gögenur
- Department of Surgery, Zealand University Hospital, Center for Surgical Science, Lykkebaekvej 1, 4600, Koege, Denmark
- Department of Clinical Medicine, Copenhagen University, Copenhagen, Denmark
| |
Collapse
|
37
|
Lawler T, Parlato L, Warren Andersen S. Racial disparities in colorectal cancer clinicopathological and molecular tumor characteristics: a systematic review. Cancer Causes Control 2024; 35:223-239. [PMID: 37688643 PMCID: PMC11090693 DOI: 10.1007/s10552-023-01783-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 08/21/2023] [Indexed: 09/11/2023]
Abstract
PURPOSE African Americans have the highest colorectal cancer (CRC) mortality of all racial groups in the USA, which may relate to differences in healthcare access or advanced stage at diagnosis. Recent evidence indicates that differences in tumor characteristics may also underlie disparities in mortality. To highlight recent findings and areas for investigation, we completed the first systematic review of racial disparities in CRC tumor prognostic markers, including clinicopathological markers, microsatellite instability (MSI), oncogene mutations, and novel markers, including cancer stem cells and immune markers. METHODS Relevant studies were identified via PubMed, limited to original research published within the last 10 years. Ninety-six articles were identified that compared the prevalence of mortality-related CRC tumor characteristics in African Americans (or other African ancestry populations) to White cases. RESULTS Tumors from African ancestry cases are approximately 10% more likely to contain mutations in KRAS, which confer elevated mortality and resistance to epidermal growth factor receptor inhibition. Conversely, African Americans have approximately 50% lower odds for BRAF-mutant tumors, which occur less frequently but have similar effects on mortality and therapeutic resistance. There is less consistent evidence supporting disparities in mutations for other oncogenes, including PIK3CA, TP53, APC, NRAS, HER2, and PTEN, although higher rates of PIK3CA mutations and lower prevalence of MSI status for African ancestry cases are supported by recent evidence. Although emerging evidence suggests that immune markers reflecting anti-tumor immunity in the tumor microenvironment may be lower for African American cases, there is insufficient evidence to evaluate disparities in other novel markers, cancer stem cells, microRNAs, and the consensus molecular subtypes. CONCLUSION Higher rates of KRAS-mutant tumors in in African Americans may contribute to disparities in CRC mortality. Additional work is required to understand whether emerging markers, including immune cells, underlie the elevated CRC mortality observed for African Americans.
Collapse
Affiliation(s)
- Thomas Lawler
- Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Lisa Parlato
- School of Medicine and Public Health, Department of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - Shaneda Warren Andersen
- Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI, USA.
- School of Medicine and Public Health, Department of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, USA.
- University of Wisconsin-Madison, Suite 1007B, WARF, 610 Walnut Street, Madison, WI, 53726, USA.
| |
Collapse
|
38
|
Sun Z, Zhang T, Ahmad MU, Zhou Z, Qiu L, Zhou K, Xiong W, Xie J, Zhang Z, Chen C, Yuan Q, Chen Y, Feng W, Xu Y, Yu L, Wang W, Yu J, Li G, Jiang Y. Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer. J Clin Invest 2024; 134:e175834. [PMID: 38271117 PMCID: PMC10940098 DOI: 10.1172/jci175834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 01/22/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUNDThe tumor immune microenvironment can provide prognostic and therapeutic information. We aimed to develop noninvasive imaging biomarkers from computed tomography (CT) for comprehensive evaluation of immune context and investigate their associations with prognosis and immunotherapy response in gastric cancer (GC).METHODSThis study involved 2,600 patients with GC from 9 independent cohorts. We developed and validated 2 CT imaging biomarkers (lymphoid radiomics score [LRS] and myeloid radiomics score [MRS]) for evaluating the IHC-derived lymphoid and myeloid immune context respectively, and integrated them into a combined imaging biomarker [LRS/MRS: low(-) or high(+)] with 4 radiomics immune subtypes: 1 (-/-), 2 (+/-), 3 (-/+), and 4 (+/+). We further evaluated the imaging biomarkers' predictive values on prognosis and immunotherapy response.RESULTSThe developed imaging biomarkers (LRS and MRS) had a high accuracy in predicting lymphoid (AUC range: 0.765-0.773) and myeloid (AUC range: 0.736-0.750) immune context. Further, similar to the IHC-derived immune context, 2 imaging biomarkers (HR range: 0.240-0.761 for LRS; 1.301-4.012 for MRS) and the combined biomarker were independent predictors for disease-free and overall survival in the training and all validation cohorts (all P < 0.05). Additionally, patients with high LRS or low MRS may benefit more from immunotherapy (P < 0.001). Further, a highly heterogeneous outcome on objective response rate was observed in 4 imaging subtypes: 1 (-/-) with 27.3%, 2 (+/-) with 53.3%, 3 (-/+) with 10.2%, and 4 (+/+) with 30.0% (P < 0.0001).CONCLUSIONThe noninvasive imaging biomarkers could accurately evaluate the immune context and provide information regarding prognosis and immunotherapy for GC.
Collapse
Affiliation(s)
- Zepang Sun
- Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Taojun Zhang
- Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | | | - Zixia Zhou
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California, USA
| | - Liang Qiu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California, USA
| | - Kangneng Zhou
- College of Computer Science, Nankai University, Tianjin, China
| | - Wenjun Xiong
- Department of Gastrointestinal Surgery, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jingjing Xie
- Graduate Group of Epidemiology, UCD, Davis, California, USA
| | - Zhicheng Zhang
- JancsiTech and Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Chuanli Chen
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Qingyu Yuan
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yan Chen
- Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, China
| | - Wanying Feng
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Yikai Xu
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Lequan Yu
- The Department of Statistics and Actuarial Science, The University of Hong Kong, HKSAR, Hong Kong, China
| | - Wei Wang
- Department of Gastric Surgery, and State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jiang Yu
- Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Guoxin Li
- Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Yuming Jiang
- Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| |
Collapse
|
39
|
Ganguly D. Multi-omics studies in interpreting the evolving standard model for immune functions. Brief Funct Genomics 2024; 23:75-81. [PMID: 36905355 DOI: 10.1093/bfgp/elad003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 01/11/2023] [Accepted: 01/23/2023] [Indexed: 03/12/2023] Open
Abstract
A standard model that is able to generalize data on myriad involvement of the immune system in organismal physio-pathology and to provide a unified evolutionary teleology for immune functions in multicellular organisms remains elusive. A number of such 'general theories of immunity' have been proposed based on contemporaneously available data, starting with the usual description of self-nonself discrimination, followed by the 'danger model' and the more recent 'discontinuity theory.' More recent data deluge on involvement of immune mechanisms in a wide variety of clinical contexts, a number of which fail to get readily accommodated into the available teleologic standard models, makes deriving a standard model of immunity more challenging. But technological advances enabling multi-omics investigations into an ongoing immune response, covering genome, epigenome, coding and regulatory transcriptome, proteome, metabolome and tissue-resident microbiome, bring newer opportunities for developing a more integrative insight into immunocellular mechanisms within different clinical contexts. The new ability to map the heterogeneity of composition, trajectory and endpoints of immune responses, in both health and disease, also necessitates incorporation into the potential standard model of immune functions, which again can only be achieved through multi-omics probing of immune responses and integrated analyses of the multi-dimensional data.
Collapse
Affiliation(s)
- Dipyaman Ganguly
- IICB-Translational Research Unit of Excellence, CSIR-Indian Institute of Chemical Biology, Kolkata, India
| |
Collapse
|
40
|
Naik P, Dudipala H, Chen YW, Rose B, Bagrodia A, McKay RR. The incidence, pathogenesis, and management of non-clear cell renal cell carcinoma. Ther Adv Urol 2024; 16:17562872241232578. [PMID: 38434237 PMCID: PMC10906063 DOI: 10.1177/17562872241232578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 01/18/2024] [Indexed: 03/05/2024] Open
Abstract
Renal cell carcinoma (RCC) is the most common type of kidney cancer and is divided into two distinct subtypes, clear cell renal cell carcinoma (ccRCC) and non-clear cell renal cell carcinoma (nccRCC). Although many treatments exist for RCC, these are largely based on clinical trials performed in ccRCC and there are limited studies on the management of nccRCC. Non-clear cell RCC consists of multiple histological subtypes: papillary, chromophobe, translocation, medullary, collecting duct, unclassified, and other rare histologies. Due to variations in pathogenesis and therapeutic response, therapy should be tailored to specific variant histologies. For patients with localized nccRCC, surgical resection remains the gold standard. In the metastatic setting, the standard of care has yet to be clearly defined, and most guidelines recommend clinical trial participation. General therapeutic options include immunotherapy, either as monotherapy or in combination, targeted therapies such as vascular endothelial growth factor tyrosine kinase inhibitors and MET inhibitors, and chemotherapy in certain subtypes. Here we present a review of the incidence and pathogenesis of the various subtypes, as well as available clinical data to support therapeutic recommendations for these subtypes. We also highlight currently available clinical trials in nccRCC and future directions in investigating novel treatment modalities tailored to patients with variant histology.
Collapse
Affiliation(s)
- Priyanka Naik
- Undergraduate Studies, University of California, San Diego, La Jolla, CA, USA
| | - Harshitha Dudipala
- Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, 72 E Concord St, Boston, MA 02118, USA
| | - Yu-Wei Chen
- Department of Hematology and Oncology, Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA
| | - Brent Rose
- Department of Radiation Oncology, Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA
| | - Aditya Bagrodia
- Department of Urology, University of California, San Diego, La Jolla, CA, USA
| | - Rana R. McKay
- Department of Hematology and Oncology, Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA
| |
Collapse
|
41
|
Gao Z, Wan Z, Yu P, Shang Y, Zhu G, Jiang H, Chen Y, Wang S, Lei F, Huang W, Zeng Q, Wang Y, Rong W, Hong Y, Gao Q, Niu P, Zhai Z, An K, Ding C, Wang Y, Gu G, Wang X, Meng Q, Ye S, Liu H, Gu J. A recurrence-predictive model based on eight genes and tumor mutational burden/microsatellite instability status in Stage II/III colorectal cancer. Cancer Med 2024; 13:e6720. [PMID: 38111983 PMCID: PMC10807589 DOI: 10.1002/cam4.6720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 06/18/2023] [Accepted: 10/27/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND Although adjuvant chemotherapy (ACT) is widely used to treat patients with Stage II/III colorectal cancer (CRC), administering ACT to specific patients remains a challenge. The decision to ACT requires an accurate assessment of recurrence risk and absolute treatment benefit. However, the traditional TNM staging system does not accurately assess a patient's individual risk of recurrence. METHODS To identify recurrence risk-related genetic factors for Stage II/III CRC patients after radical surgery, we conducted an analysis of whole-exome sequencing of 47 patients with Stage II/III CRC who underwent radical surgery at five institutions. Patients were grouped into non-recurrence group (NR, n = 24, recurrence-free survival [RFS] > 5 years) and recurrence group (R, n = 23, RFS <2 years). The TCGA-COAD/READ cohort was employed as the validation dataset. RESULTS A recurrence-predictive model (G8plus score) based on eight gene (CUL9, PCDHA12, HECTD3, DCX, SMARCA2, FAM193A, AATK, and SORCS2) mutations and tumor mutation burden/microsatellite instability (TMB/MSI) status was constructed, with 97.87% accuracy in our data and 100% negative predictive value in the TCGA-COAD/READ cohort. For the TCGA-COAD/READ cohort, the G8plus-high group had better RFS (HR = 0.22, p = 0.024); the G8plus-high tumors had significantly more infiltrated immune cell types, higher tertiary lymphoid structure signature scores, and higher immunological signature scores. The G8plus score was also a predict biomarker for immunotherapeutic in advanced CRC in the PUCH cohort. CONCLUSIONS In conclusion, the G8plus score is a powerful biomarker for predicting the risk of recurrence in patients with stage II/III CRC. It can be used to stratify patients who benefit from ACT and immunotherapy.
Collapse
Affiliation(s)
- Zhaoya Gao
- Department of General SurgeryPeking University First HospitalBeijingChina
| | - Zhiyi Wan
- Genecast Biotechnology Co., Ltd.Wuxi CityJiangsu ProvinceChina
| | - Pengfei Yu
- Department of General SurgeryAir Force Medical Center, Chinese People's Liberation ArmyBeijingChina
| | - Yan Shang
- Department of Colorectal SurgeryCancer Hospital of China Medical University, Liaoning Cancer Hospital and InstituteShenyangLiaoning ProvinceChina
| | - Guangsheng Zhu
- Department of Gastrointestinal SurgeryHubei Cancer HospitalWuhanHubei ProvinceChina
| | - Huiyuan Jiang
- Department of Colorectal and Anal SurgeryShanxi Province Cancer Hospital/ Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical UniversityTaiyuanShanxi ProvinceChina
| | - Yawei Chen
- Genecast Biotechnology Co., Ltd.Wuxi CityJiangsu ProvinceChina
| | - Shengzhou Wang
- Genecast Biotechnology Co., Ltd.Wuxi CityJiangsu ProvinceChina
| | - Fuming Lei
- Department of Gastrointestinal SurgeryPeking University Shougang HospitalBeijingChina
| | - Wensheng Huang
- Department of Gastrointestinal SurgeryPeking University Shougang HospitalBeijingChina
| | - Qingmin Zeng
- Department of Gastrointestinal SurgeryPeking University Shougang HospitalBeijingChina
| | - Yanzhao Wang
- Department of Gastrointestinal SurgeryPeking University Shougang HospitalBeijingChina
| | - Wanshui Rong
- Department of Gastrointestinal SurgeryPeking University Shougang HospitalBeijingChina
| | - Yuming Hong
- Department of Gastrointestinal SurgeryPeking University Shougang HospitalBeijingChina
| | - Qingkun Gao
- Department of Gastrointestinal SurgeryPeking University Shougang HospitalBeijingChina
| | - Pengfei Niu
- Department of Gastrointestinal SurgeryPeking University Shougang HospitalBeijingChina
| | - Zhichao Zhai
- Department of Gastrointestinal SurgeryPeking University Shougang HospitalBeijingChina
| | - Ke An
- Department of Gastrointestinal SurgeryPeking University Shougang HospitalBeijingChina
| | - Changmin Ding
- Department of Gastrointestinal SurgeryPeking University Shougang HospitalBeijingChina
| | - Yunfan Wang
- Department of PathologyPeking University Shougang HospitalBeijingChina
| | - Guoli Gu
- Department of General SurgeryAir Force Medical Center, Chinese People's Liberation ArmyBeijingChina
| | - Xin Wang
- Department of General SurgeryPeking University First HospitalBeijingChina
| | - Qingkai Meng
- Department of Colorectal SurgeryCancer Hospital of China Medical University, Liaoning Cancer Hospital and InstituteShenyangLiaoning ProvinceChina
| | - Shengwei Ye
- Department of Gastrointestinal SurgeryHubei Cancer HospitalWuhanHubei ProvinceChina
| | - Haiyi Liu
- Department of Colorectal and Anal SurgeryShanxi Province Cancer Hospital/ Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical UniversityTaiyuanShanxi ProvinceChina
| | - Jin Gu
- Department of Gastrointestinal SurgeryPeking University Shougang HospitalBeijingChina
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal SurgeryPeking University Cancer Hospital & InstituteBeijingChina
- Peking‐Tsinghua Center for Life SciencesPeking UniversityBeijingChina
- Peking University International Cancer InstituteBeijingChina
| |
Collapse
|
42
|
Gates TJ, Wangmo D, Zhao X, Subramanian S. Allogeneic tumor cell-derived extracellular vesicles stimulate CD8 T cell response in colorectal cancer. Mol Ther Oncolytics 2023; 31:100727. [PMID: 37822487 PMCID: PMC10562189 DOI: 10.1016/j.omto.2023.100727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 09/14/2023] [Indexed: 10/13/2023] Open
Abstract
Most colorectal cancer (CRC) patients present with a microsatellite-stable phenotype, rendering them resistant to immune checkpoint inhibitors (ICIs). Among the contributors to ICI resistance, tumor-derived extracellular vesicles (TEVs) have emerged as critical players. Previously we demonstrated that autologous transfer of TEVs without miR-424 can induce tumor antigen-specific immune responses in CRC models. Therefore, we postulated that allogeneic TEVs, modified to lack miR-424 and derived from an MC38 cells, could induce CD8+ T cell responses while restraining CT26 cell-based tumor. Here, we show that prophylactic administration of MC38 TEVs, without miR-424, showed a significant augmentation in CD8+ T-cells within CT26 tumors. This allogenic TEV effect was evident in CT26 tumors but not B16-F10 melanoma. Furthermore, we demonstrated the capacity of dendritic cells (DCs) to internalize TEVs, a possible mechanism to elicit immune response. Our investigation of autologously administered DCs, which had been exposed to modified TEVs, underscores their potential to dampen tumor growth while elevating CD8+ T cell levels vis-a-vis MC38 wild-type TEVs exposed to DCs. Notably, the modified TEVs were well tolerated and did not increase peripheral blood cytokine levels. Our findings underscore the potential of modified allogeneic TEVs without immune-suppressive factors to elicit robust T cell responses and limit tumor growth.
Collapse
Affiliation(s)
- Travis J. Gates
- Department of Pharmacology, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Dechen Wangmo
- Department of Pharmacology, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Xianda Zhao
- Department of Surgery, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Subbaya Subramanian
- Department of Surgery, University of Minnesota Medical School, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota Medical School, Minneapolis, MN, USA
- Center for Immunology, University of Minnesota Medical School, Minneapolis, MN, USA
| |
Collapse
|
43
|
Hakki L, Khan A, Gonen M, Stadler Z, Segal NH, Shia J, Widmar M, Wei IH, Smith JJ, Pappou EP, Nash GM, Paty PB, Garcia-Aguilar J, Weiser MR. Lymph Node Metastases and Associated Recurrence-Free Survival in Microsatellite Stable and Unstable Colon Cancer. Ann Surg Oncol 2023; 30:8487-8494. [PMID: 37700171 PMCID: PMC10842299 DOI: 10.1245/s10434-023-14270-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 08/24/2023] [Indexed: 09/14/2023]
Abstract
BACKGROUND In contrast to microsatellite stable (MSS) colon cancer, predictors of lymph node metastases and their association with recurrence are not well-defined in microsatellite instability (MSI) colon cancer. METHODS A cohort of nonmetastatic colon cancer patients undergoing surgery between 2015 and 2021 were evaluated for predictors of lymph node metastases (LNMs) and their association with recurrence-free survival (RFS). RESULTS Of 1466 patients included in the analyses, 361 (25 %) had MSI. Compared with MSS, MSI was associated with earlier stage, fewer LNMs in the patients with N1 or N2 disease, and fewer high-risk features. Compared with the T3-T4 MSS patients, the odds ratios for LNM were 0.52 (95% confidence interval [CI], 0.38-0.71) for the T3-T4 MSI patients, 0.27 (95% CI, 0.38-0.71) for the T1-T2 MSS patients, and 0.15 (95 % CI, 0.08-0.26) for the T1-T2 MSI patients. In both groups, LNMs were associated with T category, patient age, and venous, lymphatic, or perineural invasion. In the MSS patients, LNMs were additionally associated with patient sex and histologic grade. Compared with the MSS patients, the MSI patients with N0 and N1 disease had a better 3-year RFS. However, the MSI patients with N2 disease had a lower rate of 3-year RFS than the MSS patients (hazard ratio, 19.75 vs 4.49). CONCLUSIONS In MSI colon cancer, LNMs are 50 % less prevalent, but the factors associated with LNM are like those in MSS colon cancer. The improved prognosis traditionally associated with early-stage MSI colon cancers dissipates with four or more LNMs. These findings should be taken into consideration by clinicians selecting the most appropriate course of treatment for MSI colon cancer.
Collapse
Affiliation(s)
- Lynn Hakki
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Asama Khan
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mithat Gonen
- Department of Biostatistics and Epidemiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zsofia Stadler
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Neil H Segal
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jinru Shia
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maria Widmar
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Iris H Wei
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - J Joshua Smith
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Emmanouil P Pappou
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Garrett M Nash
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Philip B Paty
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Julio Garcia-Aguilar
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Martin R Weiser
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| |
Collapse
|
44
|
Chen Y, He J, Jin T, Zhang Y, Ou Y. Functional enrichment analysis of LYSET and identification of related hub gene signatures as novel biomarkers to predict prognosis and immune infiltration status of clear cell renal cell carcinoma. J Cancer Res Clin Oncol 2023; 149:16905-16929. [PMID: 37740762 PMCID: PMC10645642 DOI: 10.1007/s00432-023-05280-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 08/10/2023] [Indexed: 09/25/2023]
Abstract
PURPOSE The latest research shows that the lysosomal enzyme trafficking factor (LYSET) encoded by TMEM251 is a key regulator of the amino acid metabolism reprogramming (AAMR) and related pathways significantly correlate with the progression of some tumors. The purpose of this study was to explore the potential pathways of the TMEM251 in clear cell renal cell carcinoma (ccRCC) and establish related predictive models based on the hub genes in these pathways for prognosis and tumor immune microenvironment (TIME). METHODS We obtained mRNA expression data and clinical information of ccRCC samples from The Cancer Genome Atlas (TCGA), E-MATE-1980, and immunotherapy cohorts. Single-cell sequencing data (GSE152938) were downloaded from the Gene Expression Omnibus (GEO) database. We explored biological pathways of the LYSET by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of TMEM251-coexpression genes. The correlation of LYSET-related pathways with the prognosis was conducted by Gene Set Variation Analysis (GSVA) and unsupervised cluster analysis. The least absolute shrinkage and selection operator (LASSO) and Cox regression were used to identify hub prognostic genes and construct the risk score. Immune infiltration analysis was conducted by CIBERSORTx and Tumor Immune Estimation Resource (TIMER) databases. The predictive value of the risk score and hub prognostic genes on immunotherapy responsiveness was analyzed through the tumor mutation burden (TMB) score, immune checkpoint expression, and survival analysis. Immunohistochemistry (IHC) was finally used to verify the expressions of hub prognostic genes. RESULTS The TMEM251 was found to be significantly correlated with some AAMR pathways. AAGAB, ENTR1, SCYL2, and WDR72 in LYSET-related pathways were finally identified to construct a risk score model. Immune infiltration analysis showed that LYSET-related gene signatures significantly influenced the infiltration of some vital immune cells such as CD4 + cells, NK cells, M2 macrophages, and so on. In addition, the constructed risk score was found to be positively correlated with TMB and some common immune checkpoint expressions. Different predictive values of these signatures for Nivolumab therapy responsiveness were also uncovered in immunotherapy cohorts. Finally, based on single-cell sequencing analysis, the TMEM251 and the hub gene signatures were found to be expressed in tumor cells and some immune cells. Interestingly, IHC verification showed a potential dual role of four hub genes in ccRCC progression. CONCLUSION The novel predictive biomarkers we built may benefit clinical decision-making for ccRCC. Our study may provide some evidence that LYSET-related gene signatures could be novel potential targets for treating ccRCC and improving immunotherapy efficacy. Our nomogram might be beneficial to clinical choices, but the results need more experimental verifications in the future.
Collapse
Affiliation(s)
- Yuxing Chen
- Department of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Orthopedic Laboratory of Chongqing Medical University, Chongqing, China
| | - Jinhang He
- First Clinical Medical College, Chongqing Medical University, Chongqing, China
| | - Tian Jin
- Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ye Zhang
- Department of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Orthopedic Laboratory of Chongqing Medical University, Chongqing, China
| | - Yunsheng Ou
- Department of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
- Orthopedic Laboratory of Chongqing Medical University, Chongqing, China.
| |
Collapse
|
45
|
Li W, Zou C. NXNL2 Promotes Colon Cancer Proliferation and Metastasis by Regulating AKT Pathway. Appl Biochem Biotechnol 2023; 195:7685-7696. [PMID: 37084033 DOI: 10.1007/s12010-023-04513-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/11/2023] [Indexed: 04/22/2023]
Abstract
This study aimed to explore the role of nucleoredoxin-like 2 (NXNL2) in colon cancer (CC). The GEPIA and UALCAN databases were analyzed to explore genes involved in the prognosis of CC patients. DLD1 cells were treated with the DNA methylation inhibitor 5-azacitidine to validate the above findings. The methyltransferase DNMT (DNA methylation) was further knocked down by shRNA, then the expression of NXNL2 was assessed by qPCR. The role of NXNL2 on cell proliferation and metastasis was examined using corresponding assays. NXNL2 was found to exhibit the greatest impact on the prognosis of CC patients. High NXNL2 correlated with poor survival outcomes of CC. The expression of NXNL2 was regulated by DNA methylation. NXNL2 promoted CC cell proliferation and metastasis. Also, NXNL2 promoted the AKT pathway activity. In conclusion, NXNL2 could affect the cancer cell proliferation and metastasis, and has a poor survival prognosis in CC.
Collapse
Affiliation(s)
- Wenqin Li
- Department of Gastroenterology, the Second Clinical Medical college, Yangtze University, No. 60 Jingzhong Road, Jingzhou, 434020, Hubei, China
| | - Chuanxin Zou
- Department of Gastroenterology, the Second Clinical Medical college, Yangtze University, No. 60 Jingzhong Road, Jingzhou, 434020, Hubei, China.
| |
Collapse
|
46
|
Ye Y, Wu X, Wang H, Ye H, Zhao K, Yao S, Liu Z, Zhu Y, Zhang Q, Liang C. Artificial intelligence-assisted analysis for tumor-immune interaction within the invasive margin of colorectal cancer. Ann Med 2023; 55:2215541. [PMID: 37224471 DOI: 10.1080/07853890.2023.2215541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 04/29/2023] [Accepted: 05/14/2023] [Indexed: 05/26/2023] Open
Abstract
BACKGROUND In colorectal cancer (CRC), both tumor invasion and immunological analysis at the tumor invasive margin (IM) are significantly associated with patient prognosis, but have traditionally been reported independently. We propose a new scoring system, the TGP-I score, to assess the association and interactions between tumor growth pattern (TGP) and tumor infiltrating lymphocytes at the IM and to predict its prognostic validity for CRC patient stratification. MATERIALS AND METHODS The types of TGP were assessed in hematoxylin and eosin-stained whole-slide images. The CD3+ T-cells density at the IM was automatically quantified on immunohistochemical-stained slides using a deep learning method. A discovery (N = 347) and a validation (N = 132) cohorts were used to evaluate the prognostic value of the TGP-I score for overall survival. RESULTS The TGP-I score3 (trichotomy) was an independent prognostic factor, with higher TGP-I score3 associated with worse prognosis in the discovery (unadjusted hazard ratio [HR] for high vs. low 3.62, 95% confidence interval [CI] 2.22-5.90; p < 0.001) and validation cohort (unadjusted HR for high vs. low 5.79, 95% CI 1.84-18.20; p = 0.003). The relative contribution of each parameter to predicting survival was analyzed. The TGP-I score3 had similar importance compared to tumor-node-metastasis staging (31.2% vs. 32.9%) and was stronger than other clinical parameters. CONCLUSIONS This automated workflow and the proposed TGP-I score could further provide accurate prognostic stratification and have potential value for supporting the clinical decision-making of stage I-III CRC patients.Key messagesA new scoring system, the TGP-I score, was proposed to assess the association and interactions of TGP and TILs at the tumor invasive margin.TGP-I score could be an independent predictor of prognosis for CRC patients, with higher scores being associated with worse survival.TGP-I score had similar importance compared to tumor-node-metastasis staging and was stronger than other clinical parameters.
Collapse
Affiliation(s)
- Yunrui Ye
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, P.R. China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, P.R. China
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, P.R. China
| | - Xiaomei Wu
- Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China
| | - Huihui Wang
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, P.R. China
| | - Huifen Ye
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, P.R. China
| | - Ke Zhao
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, P.R. China
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, P.R. China
| | - Su Yao
- Department of Pathology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, P.R. China
| | - Zaiyi Liu
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, P.R. China
| | - Yaxi Zhu
- Department of Pathology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, P.R. China
| | - Qingling Zhang
- Department of Pathology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, P.R. China
| | - Changhong Liang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, P.R. China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, P.R. China
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, P.R. China
| |
Collapse
|
47
|
Gao Z, Kang SW, Erstad D, Azar J, Van Buren G, Fisher W, Sun Z, Rubinstein MP, Lee HS, Camp ER. Pre-treatment inflamed tumor immune microenvironment is associated with FOLFIRINOX response in pancreatic cancer. Front Oncol 2023; 13:1274783. [PMID: 38074633 PMCID: PMC10701674 DOI: 10.3389/fonc.2023.1274783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 10/31/2023] [Indexed: 02/12/2024] Open
Abstract
Introduction Pancreatic adenocarcinoma (PDAC) is an aggressive tumor with limited response to both chemotherapy and immunotherapy. Pre-treatment tumor features within the tumor immune microenvironment (TiME) may influence treatment response. We hypothesized that the pre-treatment TiME composition differs between metastatic and primary lesions and would be associated with response to modified FOLFIRINOX (mFFX) or gemcitabine-based (Gem-based) therapy. Methods Using RNAseq data from a cohort of treatment-naïve, advanced PDAC patients in the COMPASS trial, differential gene expression analysis of key immunomodulatory genes in were analyzed based on multiple parameters including tumor site, response to mFFX, and response to Gem-based treatment. The relative proportions of immune cell infiltration were defined using CIBERSORTx and Dirichlet regression. Results 145 samples were included in the analysis; 83 received mFFX, 62 received Gem-based therapy. Metastatic liver samples had both increased macrophage (1.2 times more, p < 0.05) and increased eosinophil infiltration (1.4 times more, p < 0.05) compared to primary lesion samples. Further analysis of the specific macrophage phenotypes revealed an increased M2 macrophage fraction in the liver samples. The pre-treatment CD8 T-cell, dendritic cell, and neutrophil infiltration of metastatic samples were associated with therapy response to mFFX (p < 0.05), while mast cell infiltration was associated with response to Gem-based therapy (p < 0.05). Multiple immunoinhibitory genes such as ADORA2A, CSF1R, KDR/VEGFR2, LAG3, PDCD1LG2, and TGFB1 and immunostimulatory genes including C10orf54, CXCL12, and TNFSF14/LIGHT were significantly associated with worse survival in patients who received mFFX (p = 0.01). There were no immunomodulatory genes associated with survival in the Gem-based cohort. Discussion Our evidence implies that essential differences in the PDAC TiME exist between primary and metastatic tumors and an inflamed pretreatment TiME is associated with mFFX response. Defining components of the PDAC TiME that influence therapy response will provide opportunities for targeted therapeutic strategies that may need to be accounted for in designing personalized therapy to improve outcomes.
Collapse
Affiliation(s)
- Zachary Gao
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, United States
| | - Sung Wook Kang
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, United States
- Department of Surgery, Dan L. Duncan Comprehensive Cancer Center, Houston, TX, United States
- Systems Onco-Immunology Laboratory, David J. Sugarbaker Division of Thoracic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, United States
| | - Derek Erstad
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, United States
- Department of Surgery, Dan L. Duncan Comprehensive Cancer Center, Houston, TX, United States
- Department of Surgery, Michael E. DeBakey VA Medical Center, Houston, TX, United States
| | - Joseph Azar
- The Pelotonia Institute for Immuno-Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH, United States
| | - George Van Buren
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, United States
- Department of Surgery, Dan L. Duncan Comprehensive Cancer Center, Houston, TX, United States
| | - William Fisher
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, United States
- Department of Surgery, Dan L. Duncan Comprehensive Cancer Center, Houston, TX, United States
| | - Zequn Sun
- Department of Preventative Medicine, Northwestern University Clinical and Translational Sciences Institute, Chicago, IL, United States
| | - Mark P. Rubinstein
- The Pelotonia Institute for Immuno-Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH, United States
| | - Hyun-Sung Lee
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, United States
- Department of Surgery, Dan L. Duncan Comprehensive Cancer Center, Houston, TX, United States
- Systems Onco-Immunology Laboratory, David J. Sugarbaker Division of Thoracic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, United States
| | - E. Ramsay Camp
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, United States
- Department of Surgery, Dan L. Duncan Comprehensive Cancer Center, Houston, TX, United States
- Department of Surgery, Michael E. DeBakey VA Medical Center, Houston, TX, United States
| |
Collapse
|
48
|
Ouyang Y, Yu M, Liu T, Suo M, Qiao J, Wang L, Li N. An Activated Dendritic-Cell-Related Gene Signature Indicative of Disease Prognosis and Chemotherapy and Immunotherapy Response in Colon Cancer Patients. Int J Mol Sci 2023; 24:15959. [PMID: 37958942 PMCID: PMC10647347 DOI: 10.3390/ijms242115959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/08/2023] [Accepted: 10/16/2023] [Indexed: 11/15/2023] Open
Abstract
Accumulating evidence has underscored the prognostic value of tumor-infiltrating immune cells in the tumor microenvironment of colon cancer (CC). In this retrospective study, based on publicly available transcriptome profiles and clinical data from the Gene Expression Omnibus and The Cancer Genome Atlas databases, we derived and verified an activated dendritic cell (aDC)-related gene signature (aDCRS) for predicting the survival outcomes and chemotherapy and immunotherapy response of CC patients. We quantified the infiltration abundance of 22 immune cell subtypes via the "CIBERSORT" R script. Univariate Cox proportional hazards (PHs) regression was used to identify aDC as the most robust protective cell type for CC prognosis. After selecting differentially expressed genes (DEGs) significantly correlated with aDC infiltration, we performed univariate Cox-PH regression, LASSO regression, and stepwise multivariate Cox-PH regression successively to screen out prognosis-related genes from selected DEGs for constructing the aDCRS. Receiver operating characteristic (ROC) curves and Kaplan-Meier (KM) analysis were employed to assess the discriminatory ability and risk-stratification capacity. The "oncoPredict" package, Cancer Treatment Response gene signature DataBase, and Tumor Immune Dysfunction and Exclusion algorithm were utilized to estimate the practicability of the aDCRS in predicting response to chemotherapy and immune checkpoint blockade. Gene set enrichment analysis and single-cell RNA sequencing analysis were also implemented. Furthermore, an aDCRS-based nomogram was constructed and validated via ROC curves, calibration plots and decision curve analysis. In conclusion, aDCRS and an aDCRS-based nomogram will facilitate precise prognosis prediction and individualized therapeutic interventions, thus improving the survival outcomes of CC patients in the future.
Collapse
Affiliation(s)
| | | | | | | | | | - Liqiang Wang
- School of Medicine, Nankai University, Tianjin 300071, China; (Y.O.); (M.Y.); (T.L.); (M.S.); (J.Q.)
| | - Na Li
- School of Medicine, Nankai University, Tianjin 300071, China; (Y.O.); (M.Y.); (T.L.); (M.S.); (J.Q.)
| |
Collapse
|
49
|
Foote MB, Argilés G, Rousseau B, Segal NH. Facts and Hopes in Colorectal Cancer Immunotherapy. Clin Cancer Res 2023; 29:4032-4039. [PMID: 37326624 DOI: 10.1158/1078-0432.ccr-22-2176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 04/14/2023] [Accepted: 06/06/2023] [Indexed: 06/17/2023]
Abstract
Although a minority of colorectal cancers exhibit mismatch repair deficiency and associated sensitivity to immune checkpoint inhibitors (ICI), the vast majority of colorectal cancers arise in a tolerogenic microenvironment with mismatch repair proficiency, low tumor-intrinsic immunogenicity, and negligible immunotherapy responsiveness. Treatment strategies to augment tumor immunity with combination ICIs and chemotherapy have broadly failed in mismatch repair-proficient tumors. Similarly, although several small single-arm studies have shown that checkpoint blockade plus radiation or select tyrosine kinase inhibition may show improved outcomes compared with historical controls, this finding has not been clearly validated in randomized trials. An evolving next generation of intelligently engineered checkpoint inhibitors, bispecific T-cell engagers, and emerging CAR-T cell therapies may improve immunorecognition of colorectal tumors. Across these modalities, ongoing translational efforts to better define patient populations and biomarkers associated with immune response, as well as combine biologically sound and mutually amplifying therapies, show promise for a new era of immunotherapy in colorectal cancer.
Collapse
Affiliation(s)
- Michael B Foote
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Guillem Argilés
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Benoit Rousseau
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Neil H Segal
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| |
Collapse
|
50
|
Eljilany I, Saghand PG, Chen J, Ratan A, McCarter M, Carpten J, Colman H, Ikeguchi AP, Puzanov I, Arnold S, Churchman M, Hwu P, Conejo-Garcia J, Dalton WS, Weiner GJ, El Naqa IM, Tarhini AA. The T Cell Immunoscore as a Reference for Biomarker Development Utilizing Real-World Data from Patients with Advanced Malignancies Treated with Immune Checkpoint Inhibitors. Cancers (Basel) 2023; 15:4913. [PMID: 37894280 PMCID: PMC10605389 DOI: 10.3390/cancers15204913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 09/14/2023] [Accepted: 09/29/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND We aimed to determine the prognostic value of an immunoscore reflecting CD3+ and CD8+ T cell density estimated from real-world transcriptomic data of a patient cohort with advanced malignancies treated with immune checkpoint inhibitors (ICIs) in an effort to validate a reference for future machine learning-based biomarker development. METHODS Transcriptomic data was collected under the Total Cancer Care Protocol (NCT03977402) Avatar® project. The real-world immunoscore for each patient was calculated based on the estimated densities of tumor CD3+ and CD8+ T cells utilizing CIBERSORTx and the LM22 gene signature matrix. Then, the immunoscore association with overall survival (OS) was estimated using Cox regression and analyzed using Kaplan-Meier curves. The OS predictions were assessed using Harrell's concordance index (C-index). The Youden index was used to identify the optimal cut-off point. Statistical significance was assessed using the log-rank test. RESULTS Our study encompassed 522 patients with four cancer types. The median duration to death was 10.5 months for the 275 participants who encountered an event. For the entire cohort, the results demonstrated that transcriptomics-based immunoscore could significantly predict patients at risk of death (p-value < 0.001). Notably, patients with an intermediate-high immunoscore achieved better OS than those with a low immunoscore. In subgroup analysis, the prediction of OS was significant for melanoma and head and neck cancer patients but did not reach significance in the non-small cell lung cancer or renal cell carcinoma cohorts. CONCLUSIONS Calculating CD3+ and CD8+ T cell immunoscore using real-world transcriptomic data represents a promising signature for estimating OS with ICIs and can be used as a reference for future machine learning-based biomarker development.
Collapse
Affiliation(s)
- Islam Eljilany
- Departments of Cutaneous Oncology and Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Payman Ghasemi Saghand
- Department of Machine Learning, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - James Chen
- Department of Internal Medicine, Division of Medical Oncology, Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Aakrosh Ratan
- Center for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
| | - Martin McCarter
- Division of Surgical Oncology, Department of Surgery, School of Medicine, University of Colorado, Aurora, CO 80045, USA
| | - John Carpten
- USC Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA
| | - Howard Colman
- Department of Neurosurgery, School of Medicine, University of Utah, Salt Lake City, UT 84132, USA
- Huntsman Cancer Institute, Salt Lake City, UT 84132, USA
| | | | - Igor Puzanov
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Susanne Arnold
- University of Kentucky Markey Cancer Center, Lexington, KY 40536, USA
| | - Michelle Churchman
- Clinical & Life Sciences Department, Aster Insights, Hudson, FL 34667, USA
| | - Patrick Hwu
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Jose Conejo-Garcia
- H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | | | - George J. Weiner
- Department of Internal Medicine, Carver College of Medicine, University of Iowa Health Care, Iowa City, IA 52242, USA
| | - Issam M. El Naqa
- Department of Machine Learning, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Ahmad A. Tarhini
- Departments of Cutaneous Oncology and Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| |
Collapse
|