1
|
Gao C, Ying Q, Qiu Y, Ren N, Chen K, Zhou Y, Ye T, Li G. Oncolytic vaccinia virus harboring CLEC2A gene enhances viral replication and antitumor efficacy. MOLECULAR THERAPY. ONCOLOGY 2024; 32:200823. [PMID: 39006946 PMCID: PMC11239687 DOI: 10.1016/j.omton.2024.200823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 05/06/2024] [Accepted: 05/31/2024] [Indexed: 07/16/2024]
Abstract
In the field of innovative cancer treatment strategies, oncolytic vaccinia virus (VV)es have gained traction as promising vectors. In the current study, we inserted the human C-type lectin domain family 2 member A (CLEC2A) gene into VV, creating a replicating therapeutic, oncoVV-CLEC2A. The findings reveal that oncoVV-CLEC2A effectively suppresses colorectal proliferation of mouse xenografts and a range of human cancer cell lines by augmenting viral reproduction capabilities, including the lung cancer H460 cell line, colorectal cancer cell lines (HCT116 and SW620), and hepatocellular carcinoma HuH-7 cell line. Moreover, it is evident that oncoVV-CLEC2A can induce antitumor immunity by boosting cytokine production but not antivirus response, and enhancing calreticulin expression. Further investigation indicates that oncoVV-CLEC2A can enhance antitumor capabilities by activating natural killer cells to produce interferon-γ and induce M1-like macrophage polarization. These findings shed light on the antitumor mechanisms of oncoVV-CLEC2A, provide a theoretical basis for oncolytic therapies, and lay the groundwork for novel strategies for modifying VVs.
Collapse
Affiliation(s)
- Chunqing Gao
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Qi Ying
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Yufeng Qiu
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Ningbo Ren
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Kan Chen
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Yanrong Zhou
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Ting Ye
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Gongchu Li
- College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China
| |
Collapse
|
2
|
Rannikko JH, Hollmén M. Clinical landscape of macrophage-reprogramming cancer immunotherapies. Br J Cancer 2024; 131:627-640. [PMID: 38831013 DOI: 10.1038/s41416-024-02715-6] [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: 02/15/2024] [Revised: 05/03/2024] [Accepted: 05/08/2024] [Indexed: 06/05/2024] Open
Abstract
Tumour-associated macrophages (TAMs) sustain a tumour-supporting and immunosuppressive milieu and therefore aggravate cancer prognosis. To modify TAM behaviour and unlock their anti-tumoural potential, novel TAM-reprogramming immunotherapies are being developed at an accelerating rate. At the same time, scientific discoveries have highlighted more sophisticated TAM phenotypes with complex biological functions and contradictory prognostic associations. To understand the evolving clinical landscape, we reviewed current and past clinically evaluated TAM-reprogramming cancer therapeutics and summarised almost 200 TAM-reprogramming agents investigated in more than 700 clinical trials. Observable overall trends include a high frequency of overlapping strategies against the same therapeutic targets, development of more complex strategies to improve previously ineffective approaches and reliance on combinatory strategies for efficacy. However, strong anti-tumour efficacy is uncommon, which encourages re-directing efforts on identifying biomarkers for eligible patient populations and comparing similar treatments earlier. Future endeavours will benefit from considering the shortcomings of past treatment strategies and accommodating the emerging complexity of TAM biology.
Collapse
Affiliation(s)
- Jenna H Rannikko
- MediCity Research Laboratory and InFLAMES Flagship, University of Turku, Turku, Finland
- Turku Doctoral Program of Molecular Medicine, University of Turku, Turku, Finland
| | - Maija Hollmén
- MediCity Research Laboratory and InFLAMES Flagship, University of Turku, Turku, Finland.
- Faron Pharmaceuticals Ltd, Turku, Finland.
| |
Collapse
|
3
|
Yan W, Ren Z, Chen X, Zhang R, Lv J, Verma V, Wu M, Chen D, Yu J. Potential Role of Lymphocyte CD44 in Determining Treatment Selection Between Stereotactic Body Radiation Therapy and Surgery for Early-Stage Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2024; 120:89-101. [PMID: 38447611 DOI: 10.1016/j.ijrobp.2024.02.048] [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: 07/20/2023] [Revised: 02/03/2024] [Accepted: 02/12/2024] [Indexed: 03/08/2024]
Abstract
PURPOSE Stereotactic body radiation therapy (SBRT) versus surgery for operable early-stage non-small cell lung cancer (ES-NSCLC) remains highly debated. Herein, we used spatial proteomics to identify whether any molecular biomarker(s) associate with the efficacy of either modality, in efforts to optimize treatment selection between surgery and SBRT for this population. METHODS AND MATERIALS We evaluated biopsy tissue samples from 44 patients with ES-NSCLC treated with first-line SBRT (cohort 1) by GeoMx Digital Spatial Profiling (DSP) with a panel of 70 proteins in 5 spatial molecular compartments: tumor (panCK+), leukocyte (CD45+), lymphocyte (CD3+), macrophage (CD68+), and stroma (α-SMA+). To validate the findings in cohort 1, biopsy samples from 52 patients with ES-NSCLC who received SBRT (cohort 2) and 62 patients with ES-NSCLC who underwent surgery (cohort 3) were collected and analyzed by multiplex immunofluorescence (mIF). RESULTS In cohort 1, higher CD44 expression in the lymphocyte compartment was associated with poorer recurrence-free survival (RFS) (DSP: P < .001; mIF: P < .001) and higher recurrence rate (DSP: P = .001; mIF: P = .004). mIF data from cohort 2 validated these findings (P < .05 for all). From cohort 3, higher lymphocyte CD44 predicted higher RFS after surgery (P = .003). Intermodality comparisons demonstrated that SBRT was associated with significantly higher RFS over surgery in CD44-low patients (P < .001), but surgery was superior to SBRT in CD44-high cases (P = .016). CONCLUSIONS Lymphocyte CD44 may not only be a predictor of SBRT efficacy in this population but also an important biomarker (pending validation by large prospective data) that could better sharpen selection for SBRT versus surgery in ES-NSCLC.
Collapse
MESH Headings
- Humans
- Carcinoma, Non-Small-Cell Lung/radiotherapy
- Carcinoma, Non-Small-Cell Lung/pathology
- Carcinoma, Non-Small-Cell Lung/surgery
- Radiosurgery
- Hyaluronan Receptors/analysis
- Hyaluronan Receptors/metabolism
- Lung Neoplasms/radiotherapy
- Lung Neoplasms/pathology
- Lung Neoplasms/surgery
- Male
- Female
- Aged
- Lymphocytes
- Middle Aged
- Antigens, Differentiation, Myelomonocytic/analysis
- Antigens, Differentiation, Myelomonocytic/metabolism
- Antigens, CD/analysis
- Leukocyte Common Antigens/analysis
- Leukocyte Common Antigens/metabolism
- Aged, 80 and over
- CD3 Complex/analysis
- CD3 Complex/metabolism
- Neoplasm Staging
- Biomarkers, Tumor/analysis
- Patient Selection
- CD68 Molecule
Collapse
Affiliation(s)
- Weiwei Yan
- Cheeloo College of Medicine, Shandong University Cancer Center, Jinan, Shandong, China; Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Ziyuan Ren
- Cheeloo College of Medicine, Shandong University Cancer Center, Jinan, Shandong, China; Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Xi Chen
- Cheeloo College of Medicine, Shandong University Cancer Center, Jinan, Shandong, China; Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Ran Zhang
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Juncai Lv
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Vivek Verma
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Meng Wu
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Dawei Chen
- Cheeloo College of Medicine, Shandong University Cancer Center, Jinan, Shandong, China; Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China.
| | - Jinming Yu
- Cheeloo College of Medicine, Shandong University Cancer Center, Jinan, Shandong, China; Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China.
| |
Collapse
|
4
|
Zhou Z, Mai Y, Zhang G, Wang Y, Sun P, Jing Z, Li Z, Xu Y, Han B, Liu J. Emerging role of immunogenic cell death in cancer immunotherapy: Advancing next-generation CAR-T cell immunotherapy by combination. Cancer Lett 2024; 598:217079. [PMID: 38936505 DOI: 10.1016/j.canlet.2024.217079] [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: 04/25/2024] [Revised: 06/11/2024] [Accepted: 06/18/2024] [Indexed: 06/29/2024]
Abstract
Immunogenic cell death (ICD) is a stress-driven form of regulated cell death (RCD) in which dying tumor cells' specific signaling pathways are activated to release damage-associated molecular patterns (DAMPs), leading to the robust anti-tumor immune response as well as a reversal of the tumor immune microenvironment from "cold" to "hot". Chimeric antigen receptor (CAR)-T cell therapy, as a landmark in anti-tumor immunotherapy, plays a formidable role in hematologic malignancies but falls short in solid tumors. The Gordian knot of CAR-T cells for solid tumors includes but is not limited to, tumor antigen heterogeneity or absence, physical and immune barriers of tumors. The combination of ICD induction therapy and CAR-T cell immunotherapy is expected to promote the intensive use of CAR-T cell in solid tumors. In this review, we summarize the characteristics of ICD, stress-responsive mechanism, and the synergistic effect of various ICD-based therapies with CAR-T cells to effectively improve anti-tumor capacity.
Collapse
Affiliation(s)
- Zhaokai Zhou
- Department of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Yumiao Mai
- Department of Pediatrics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Ge Zhang
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Henan Province Key Laboratory of Cardiac Injury and Repair, Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, 450052, China
| | - Yingjie Wang
- Department of Pediatrics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Pan Sun
- Department of Pediatrics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Zhaohe Jing
- Department of Pediatrics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Zhengrui Li
- Department of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yudi Xu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Bo Han
- State Key Laboratory of Southwestern Chinese Medicine Resources, Hospital of Chengdu University of Traditional Chinese Medicine, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
| | - Jian Liu
- Department of Pediatrics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
| |
Collapse
|
5
|
Zhou Z, Jiang Y, Sun Z, Zhang T, Feng W, Li G, Li R, Xing L. Virtual multiplexed immunofluorescence staining from non-antibody-stained fluorescence imaging for gastric cancer prognosis. EBioMedicine 2024; 107:105287. [PMID: 39154539 DOI: 10.1016/j.ebiom.2024.105287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 07/11/2024] [Accepted: 08/01/2024] [Indexed: 08/20/2024] Open
Abstract
BACKGROUND Multiplexed immunofluorescence (mIF) staining, such as CODEX and MIBI, holds significant clinical value for various fields, such as disease diagnosis, biological research, and drug development. However, these techniques are often hindered by high time and cost requirements. METHODS Here we present a Multimodal-Attention-based virtual mIF Staining (MAS) system that utilises a deep learning model to extract potential antibody-related features from dual-modal non-antibody-stained fluorescence imaging, specifically autofluorescence (AF) and DAPI imaging. The MAS system simultaneously generates predictions of mIF with multiple survival-associated biomarkers in gastric cancer using self- and multi-attention learning mechanisms. FINDINGS Experimental results with 180 pathological slides from 94 patients with gastric cancer demonstrate the efficiency and consistent performance of the MAS system in both cancer and noncancer gastric tissues. Furthermore, we showcase the prognostic accuracy of the virtual mIF images of seven gastric cancer related biomarkers, including CD3, CD20, FOXP3, PD1, CD8, CD163, and PD-L1, which is comparable to those obtained from the standard mIF staining. INTERPRETATION The MAS system rapidly generates reliable multiplexed staining, greatly reducing the cost of mIF and improving clinical workflow. FUNDING Stanford 2022 HAI Seed Grant; National Institutes of Health 1R01CA256890.
Collapse
Affiliation(s)
- Zixia Zhou
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
| | - Yuming Jiang
- Department of Radiation Oncology, Wake Forest University School of Medicine, Winston Salem, NC, 27109, USA.
| | - Zepang Sun
- Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - Taojun Zhang
- Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - Wanying Feng
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, 510515, Guangzhou, China
| | - Guoxin Li
- Department of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - Ruijiang Li
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Lei Xing
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
| |
Collapse
|
6
|
Lapuente-Santana Ó, Sturm G, Kant J, Ausserhofer M, Zackl C, Zopoglou M, McGranahan N, Rieder D, Trajanoski Z, da Cunha Carvalho de Miranda NF, Eduati F, Finotello F. Multimodal analysis unveils tumor microenvironment heterogeneity linked to immune activity and evasion. iScience 2024; 27:110529. [PMID: 39161957 PMCID: PMC11331718 DOI: 10.1016/j.isci.2024.110529] [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: 01/19/2024] [Revised: 06/03/2024] [Accepted: 07/13/2024] [Indexed: 08/21/2024] Open
Abstract
The cellular and molecular heterogeneity of tumors is a major obstacle to cancer immunotherapy. Here, we use a systems biology approach to derive a signature of the main sources of heterogeneity in the tumor microenvironment (TME) from lung cancer transcriptomics. We demonstrate that this signature, which we called iHet, is conserved in different cancers and associated with antitumor immunity. Through analysis of single-cell and spatial transcriptomics data, we trace back the cellular origin of the variability explaining the iHet signature. Finally, we demonstrate that iHet has predictive value for cancer immunotherapy, which can be further improved by disentangling three major determinants of anticancer immune responses: activity of immune cells, immune infiltration or exclusion, and cancer-cell foreignness. This work shows how transcriptomics data can be integrated to derive a holistic representation of the phenotypic heterogeneity of the TME and to predict its unfolding and fate during immunotherapy with immune checkpoint blockers.
Collapse
Affiliation(s)
- Óscar Lapuente-Santana
- Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, 5612 AZ Eindhoven, the Netherlands
- Bioinformatics Unit, Spanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain
| | - Gregor Sturm
- Biocenter, Institute of Bioinformatics, Medical University of Innsbruck, 6020 Innsbruck, Austria
- Boehringer Ingelheim International Pharma GmbH & Co KG, 55216 Ingelheim am Rhein, Germany
| | - Joan Kant
- Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, 5612 AZ Eindhoven, the Netherlands
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada
| | - Markus Ausserhofer
- Department of Molecular Biology, Digital Science Center (DiSC), University of Innsbruck, 6020 Innsbruck, Austria
| | - Constantin Zackl
- Department of Molecular Biology, Digital Science Center (DiSC), University of Innsbruck, 6020 Innsbruck, Austria
| | - Maria Zopoglou
- Department of Molecular Biology, Digital Science Center (DiSC), University of Innsbruck, 6020 Innsbruck, Austria
| | - Nicholas McGranahan
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London WC1E 6DD, UK
- Cancer Genome Evolution Research Group, University College London Cancer Institute, London WC1E 6DD, UK
| | - Dietmar Rieder
- Biocenter, Institute of Bioinformatics, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Zlatko Trajanoski
- Biocenter, Institute of Bioinformatics, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | | | - Federica Eduati
- Department of Biomedical Engineering and Institute for Complex Molecular Systems, Eindhoven University of Technology, 5612 AZ Eindhoven, the Netherlands
| | - Francesca Finotello
- Department of Molecular Biology, Digital Science Center (DiSC), University of Innsbruck, 6020 Innsbruck, Austria
| |
Collapse
|
7
|
Saha S, Ghosh M, Li J, Wen A, Galluzzi L, Martinez LA, Montrose DC. Serine Depletion Promotes Antitumor Immunity by Activating Mitochondrial DNA-Mediated cGAS-STING Signaling. Cancer Res 2024; 84:2645-2659. [PMID: 38861367 PMCID: PMC11326969 DOI: 10.1158/0008-5472.can-23-1788] [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: 06/15/2023] [Revised: 03/06/2024] [Accepted: 06/04/2024] [Indexed: 06/13/2024]
Abstract
Serine is critical for supporting cancer metabolism, and depriving malignant cells of this nonessential amino acid exerts antineoplastic effects, in large part, through disrupting metabolic pathways. Given the intricate relationship between cancer metabolism and the immune system, the metabolic defects imposed by serine deprivation might impact tumor-targeting immunity. In this study, we demonstrated that restricting endogenous and exogenous sources of serine in colorectal cancer cells results in mitochondrial dysfunction, leading to mitochondrial DNA (mtDNA) accumulation in the cytosol and consequent cGAS-STING1-driven type I IFN secretion. Depleting mtDNA or blocking its release attenuated cGAS-STING1 activation during serine deprivation. In vivo studies revealed that serine deprivation limits tumor growth, accompanied by enhanced type I IFN signaling and intratumoral infiltration of immune effector cells. Notably, the tumor-suppressive and immune-enhancing effects of serine restriction were impaired by T-cell depletion and IFN receptor blockade. Moreover, disrupting cGAS-STING1 signaling in colorectal cancer cells limited the immunostimulatory and tumor-suppressive effects of serine deprivation. Lastly, serine depletion increased the sensitivity of tumors to an immune checkpoint inhibitor targeting PD-1. Taken together, these findings reveal a role for serine as a suppressor of antitumor immunity, suggesting that serine deprivation may be employed to enhance tumor immunogenicity and improve responsiveness to immune checkpoint inhibitors. Significance: Depriving cancer cells of serine provokes mitochondrial perturbations that induce cytosolic mitochondrial DNA accumulation and subsequent activation of cGAS-STING signaling, stimulating tumor-targeting immune responses that can be enhanced with PD-1 targeted therapy. See related commentary by Borges and Garg, p. 2569.
Collapse
Affiliation(s)
- Suchandrima Saha
- Department of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York
| | - Monisankar Ghosh
- Department of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York
| | - Jinyu Li
- Department of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York
| | - Asher Wen
- Department of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York
| | - Lorenzo Galluzzi
- Department of Radiation Oncology, Weill Cornell Medical College, New York, New York
- Sandra and Edward Meyer Cancer Center, New York, New York
- Caryl and Israel Englander Institute for Precision Medicine, New York, New York
| | - Luis A Martinez
- Department of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York
- Stony Brook Cancer Center, Stony Brook, New York
| | - David C Montrose
- Department of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, New York
- Stony Brook Cancer Center, Stony Brook, New York
| |
Collapse
|
8
|
Chen X, Wu P, Liu Z, Li T, Wu J, Zeng Z, Guo W, Xiong W. Tertiary lymphoid structures and their therapeutic implications in cancer. Cell Oncol (Dordr) 2024:10.1007/s13402-024-00975-1. [PMID: 39133439 DOI: 10.1007/s13402-024-00975-1] [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] [Accepted: 07/21/2024] [Indexed: 08/13/2024] Open
Abstract
Tertiary lymphoid structures (TLSs) are ectopic lymphoid aggregates formed by the structured accumulation of immune cells such as B cells and T cells in non-lymphoid tissues induced by infection, inflammation, and tumors. They play a crucial role in the immune response, particularly in association with tumor development, where they primarily exert anti-tumor immune functions during tumorigenesis. Current research suggests that TLSs inhibit tumor growth by facilitating immune cell infiltration and are correlated with favorable prognosis in various solid tumors, serving as an indicator of immunotherapy effectiveness to some extent. Therefore, TLSs hold great promise as a valuable biomarker. Most importantly, immunotherapies aimed to prompting TLSs formation are anticipated to be potent adjuncts to current cancer treatment. This review focuses on the formation process of TLSs and their potential applications in cancer therapy.
Collapse
Affiliation(s)
- Xun Chen
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Pan Wu
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Ziqi Liu
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Tiansheng Li
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Jie Wu
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
- Departments of Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, China
- Xinjiang Key Laboratory of Translational Biomedical Engineering, Urumqi, China
| | - Zhaoyang Zeng
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Wenjia Guo
- Departments of Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, China.
- Xinjiang Key Laboratory of Translational Biomedical Engineering, Urumqi, China.
| | - Wei Xiong
- NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China.
| |
Collapse
|
9
|
Pedroza-Torres A, Romero-Córdoba SL, Montaño S, Peralta-Zaragoza O, Vélez-Uriza DE, Arriaga-Canon C, Guajardo-Barreto X, Bautista-Sánchez D, Sosa-León R, Hernández-González O, Díaz-Chávez J, Alvarez-Gómez RM, Herrera LA. Radio-miRs: a comprehensive view of radioresistance-related microRNAs. Genetics 2024; 227:iyae097. [PMID: 38963803 PMCID: PMC11304977 DOI: 10.1093/genetics/iyae097] [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: 04/02/2024] [Accepted: 05/29/2024] [Indexed: 07/06/2024] Open
Abstract
Radiotherapy is a key treatment option for a wide variety of human tumors, employed either alone or alongside with other therapeutic interventions. Radiotherapy uses high-energy particles to destroy tumor cells, blocking their ability to divide and proliferate. The effectiveness of radiotherapy is due to genetic and epigenetic factors that determine how tumor cells respond to ionizing radiation. These factors contribute to the establishment of resistance to radiotherapy, which increases the risk of poor clinical prognosis of patients. Although the mechanisms by which tumor cells induce radioresistance are unclear, evidence points out several contributing factors including the overexpression of DNA repair systems, increased levels of reactive oxygen species, alterations in the tumor microenvironment, and enrichment of cancer stem cell populations. In this context, dysregulation of microRNAs or miRNAs, critical regulators of gene expression, may influence how tumors respond to radiation. There is increasing evidence that miRNAs may act as sensitizers or enhancers of radioresistance, regulating key processes such as the DNA damage response and the cell death signaling pathway. Furthermore, expression and activity of miRNAs have shown informative value in overcoming radiotherapy and long-term radiotoxicity, revealing their potential as biomarkers. In this review, we will discuss the molecular mechanisms associated with the response to radiotherapy and highlight the central role of miRNAs in regulating the molecular mechanisms responsible for cellular radioresistance. We will also review radio-miRs, radiotherapy-related miRNAs, either as sensitizers or enhancers of radioresistance that hold promise as biomarkers or pharmacological targets to sensitize radioresistant cells.
Collapse
Affiliation(s)
- Abraham Pedroza-Torres
- Programa Investigadoras e Investigadores por México, Consejo Nacional de Humanidades, Ciencias y Tecnologías, Mexico City C.P. 03940, Mexico
- Clínica de Cáncer Hereditario, Instituto Nacional de Cancerología, Mexico City C.P. 14080, Mexico
| | - Sandra L Romero-Córdoba
- Departamento de Medicina Genómica y Toxicología Ambiental, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Mexico City C.P. 04510, Mexico
- Departamento de Bioquímica, Instituto Nacional de Ciencias Médicas y Nutrición “Salvador Zubirán”, Mexico City C.P. 14080, Mexico
| | - Sarita Montaño
- Laboratorio de Bioinformática, Facultad de Ciencias Químico-Biológicas, Universidad Autónoma de Sinaloa (FCQB-UAS), Culiacán Rosales, Sinaloa C.P. 80030, Mexico
| | - Oscar Peralta-Zaragoza
- Dirección de Infecciones Crónicas y Cáncer, Centro de Investigación Sobre Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Morelos C.P. 62100, Mexico
| | - Dora Emma Vélez-Uriza
- Laboratorio de Traducción y Cáncer, Instituto Nacional de Cancerología, Mexico City C.P. 14080, Mexico
| | - Cristian Arriaga-Canon
- Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología–Instituto de Investigaciones Biomédicas–Universidad Nacional Autónoma de México (UNAM), Mexico City C.P. 14080, Mexico
- Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Nuevo León C.P. 64710, Mexico
| | - Xiadani Guajardo-Barreto
- Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología–Instituto de Investigaciones Biomédicas–Universidad Nacional Autónoma de México (UNAM), Mexico City C.P. 14080, Mexico
| | - Diana Bautista-Sánchez
- Department of Microbiology and Immunology, Life Sciences Institute, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | - Rodrigo Sosa-León
- Clínica de Cáncer Hereditario, Instituto Nacional de Cancerología, Mexico City C.P. 14080, Mexico
| | - Olivia Hernández-González
- Laboratorio de Microscopia Electrónica, Instituto Nacional de Rehabilitación “Luis Guillermo Ibarraa Ibarra”, Mexico City C.P. 14389, Mexico
| | - José Díaz-Chávez
- Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología–Instituto de Investigaciones Biomédicas–Universidad Nacional Autónoma de México (UNAM), Mexico City C.P. 14080, Mexico
| | - Rosa María Alvarez-Gómez
- Clínica de Cáncer Hereditario, Instituto Nacional de Cancerología, Mexico City C.P. 14080, Mexico
| | - Luis A Herrera
- Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología–Instituto de Investigaciones Biomédicas–Universidad Nacional Autónoma de México (UNAM), Mexico City C.P. 14080, Mexico
- Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Nuevo León C.P. 64710, Mexico
| |
Collapse
|
10
|
Akdogan O, Ogut B, Sutcuoglu O, Sert A, Gurler F, Akyurek N, Ozdemir N, Ozet A, Yazici O. The impact of the expression level of growth differentiation factor 15 in tumor tissue on the response to immunotherapy in non-small cell lung cancer. BMC Cancer 2024; 24:954. [PMID: 39103762 DOI: 10.1186/s12885-024-12727-3] [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: 06/01/2024] [Accepted: 07/29/2024] [Indexed: 08/07/2024] Open
Abstract
BACKGROUND Growth differentiation factor-15 (GDF-15), a member of the TGF-β superfamily, is overexpressed in various cancers and facilitates immune evasion by inhibiting T-cell activation. GDFATHER-TRIAL's phase 2a results demonstrated promising outcomes when combining the GDF-15 neutralizing antibody visugromab (CTL002) with nivolumab, enhancing the response to immunotherapy. This study evaluated the prognostic significance of GDF-15 expression in non-small cell lung cancer (NSCLC) tumor tissues in terms of immunotherapy response. METHODS This retrospective study included 50 patients with metastatic NSCLC treated with nivolumab at Gazi University Hospital between January 2021 and July 2023. GDF-15 expression was evaluated using immunochemistry staining and categorized based on the intensity of cytoplasmic or membranous staining. Samples were divided into a low expression group (scores 0 and 1) and a high expression group (scores 2 and 3). The primary outcomes were progression-free survival (PFS) and overall survival (OS), which were analyzed using Kaplan‒Meier and Cox proportional hazards models. Objective response rates were assessed in secondary outcomes. RESULTS Of the 50 patients, 43 were men (86%), with a median age of 63.9 years. Half of the patients exhibited low GDF-15 expression. High GDF-15 expression correlated with shorter PFS and OS. The median PFS was 7.8 months for the low-expression group versus 4.4 months for the high-expression group (HR, 0.41; 95% CI, 0.20-0.83; p = 0.013). The median OS was 18.1 months for the low-expression group compared to 11.8 months for the high-expression group (HR, 0.36; 95% CI, 0.16-0.78; p = 0.007). The objective response rate was significantly greater in the low GDF-15 group (52%) than in the high GDF-15 group (24%) (p = 0.040). CONCLUSION Elevated GDF-15 expression in NSCLC tumor tissues is associated with poorer response to nivolumab, suggesting that GDF-15 is a potential prognostic biomarker for immunotherapy efficacy. These findings warrant further validation through prospective studies to optimize treatment strategies for NSCLC patients.
Collapse
Affiliation(s)
- Orhun Akdogan
- Faculty of Medicine, Department of Medical Oncology, Gazi University, Ankara, Turkey.
| | - Betul Ogut
- Faculty of Medicine, Department of Pathology, Gazi University, Ankara, Turkey
| | - Osman Sutcuoglu
- Faculty of Medicine, Department of Medical Oncology, Gazi University, Ankara, Turkey
| | - Aysenur Sert
- Faculty of Medicine, Department of Pathology, Gazi University, Ankara, Turkey
| | - Fatih Gurler
- Faculty of Medicine, Department of Medical Oncology, Gazi University, Ankara, Turkey
| | - Nalan Akyurek
- Faculty of Medicine, Department of Pathology, Gazi University, Ankara, Turkey
| | - Nuriye Ozdemir
- Faculty of Medicine, Department of Medical Oncology, Gazi University, Ankara, Turkey
| | - Ahmet Ozet
- Faculty of Medicine, Department of Medical Oncology, Gazi University, Ankara, Turkey
| | - Ozan Yazici
- Faculty of Medicine, Department of Medical Oncology, Gazi University, Ankara, Turkey
| |
Collapse
|
11
|
Wang S, Li H, Liu Y, Pang S, Qiao S, Su J, Wang S, Zhang Y. Connectivity Network Feature Sharing in Single-Cell RNA Sequencing Data Identifies Rare Cells. J Chem Inf Model 2024. [PMID: 39096508 DOI: 10.1021/acs.jcim.4c00796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/05/2024]
Abstract
Single-cell RNA sequencing is a valuable technique for identifying diverse cell subtypes. A key challenge in this process is that the detection of rare cells is often missed by conventional methods due to low abundance and subtle features of these cells. To overcome this, we developed SCLCNF (Local Connectivity Network Feature Sharing in Single-Cell RNA sequencing), a novel approach that identifies rare cells by analyzing features uniquely expressed in these cells. SCLCNF creates a cellular connectivity network, considering how each cell relates to its neighbors. This network helps to pinpoint coexpression patterns unique to rare cells, utilizing a rarity score to confirm their presence. Our method performs better in detecting rare cells than existing techniques, offering enhanced robustness. It has proven to be effective in human gastrula data sets for accurately pinpointing rare cells, and in sepsis data sets where it uncovers previously unidentified rare cell populations.
Collapse
Affiliation(s)
- Shudong Wang
- Qingdao Institute of Software, College of Computer Science and Technology, China University of Petroleum (East China), Qingdao 266580, China
| | - Hengxiao Li
- Qingdao Institute of Software, College of Computer Science and Technology, China University of Petroleum (East China), Qingdao 266580, China
| | - Yahui Liu
- College of Science, China University of Petroleum (East China), Qingdao 266580, China
| | - Shanchen Pang
- Qingdao Institute of Software, College of Computer Science and Technology, China University of Petroleum (East China), Qingdao 266580, China
| | - Sibo Qiao
- The College of Software, Tiangong University, Tianjin 300387, China
| | - Jionglong Su
- School of AI and Advanced Computing, XJTLU Entrepreneur College (Taicang), Xi'an Jiaotong-Liverpool University, Suzhou 215123, Jiangsu, China
| | - Shaoqiang Wang
- School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266525, China
| | - Yulin Zhang
- College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, China
| |
Collapse
|
12
|
Muto Y, Kambayashi Y, Kato H, Mizuhashi S, Ito T, Maekawa T, Ishizuki S, Uchi H, Matsushita S, Yamamoto Y, Yoshino K, Fujisawa Y, Amagai R, Ohuchi K, Hashimoto A, Fukushima S, Asano Y, Fujimura T. Three-Year Analysis of Adjuvant Therapy in Postoperative Melanoma including Acral and Mucosal Subtypes. Cancers (Basel) 2024; 16:2755. [PMID: 39123482 PMCID: PMC11311258 DOI: 10.3390/cancers16152755] [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: 06/26/2024] [Revised: 07/19/2024] [Accepted: 07/31/2024] [Indexed: 08/12/2024] Open
Abstract
BACKGROUND Adjuvant therapy has improved the clinical prognosis for postoperative melanoma patients. However, the long-term efficacy of this therapy on the melanoma acral and mucosal subtypes has not been fully evaluated in previous trials. This study assessed the 3-year recurrence-free survival and overall survival of patients with melanoma, including the acral and mucosal subtypes, treated with anti-PD-1 antibody (Ab) or with the combination of the BRAF and MEK inhibitors dabrafenib and trametinib. METHODS We retrospectively analyzed both the 3-year time to relapse (TTR) and overall survival (OS) of 120 patients treated with anti-PD-1 antibody (Ab), or with the combination of dabrafenib and trametinib. RESULTS The overall median TTR was 18.4 months, with a range of 0.69 to 36 months. The 3-year TTR of the acral and mucosal types was 28.1% and 38.5%, respectively. Baseline tumor thickness (TT) and acral type were associated with the TTR in subgroup analysis. Moreover, we classified 104 acral and non-acral cutaneous patients into the anti-PD-1 Abs or dabrafenib plus trametinib combined therapies cohort in multiple analyses. The acral subtype and TT were detected as important prognostic factors. In the 3-year OS, only tumor ulceration was associated with the OS in both univariate and multiple analyses. There was no significant difference in baseline or treatment-related factors of the mucosal type (p > 0.05). CONCLUSION This study suggests that adjuvant therapy is more effective with non-acral cutaneous melanoma than either the acral or mucosal types at the 3-year TTR endpoint.
Collapse
Affiliation(s)
- Yusuke Muto
- Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai 980-8574, Japan; (Y.M.); (Y.K.); (R.A.); (K.O.); (A.H.); (Y.A.)
| | - Yumi Kambayashi
- Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai 980-8574, Japan; (Y.M.); (Y.K.); (R.A.); (K.O.); (A.H.); (Y.A.)
| | - Hiroshi Kato
- Department of Geriatric and Environmental Dermatology, Nagoya City University Graduate School of Medical Sciences, Nagoya 467-8601, Japan;
| | - Satoru Mizuhashi
- Department of Dermatology and Plastic Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan; (S.M.); (S.F.)
| | - Takamichi Ito
- Department of Dermatology, Graduate School of Medical Science, Kyushu University, Fukuoka 812-8582, Japan;
| | - Takeo Maekawa
- Department of Dermatology, Jichi Medical University Saitama Medical Center, Saitama 330-8503, Japan;
| | - Shoichiro Ishizuki
- Department of Dermatology, Faculty of University of Tsukuba, Tsukuba 305-8575, Japan;
| | - Hiroshi Uchi
- Department of Dermato-Oncology, NHO Kyushu Cancer Center, Fukuoka 811-1395, Japan;
| | - Shigeto Matsushita
- Department of Dermato-Oncology/Dermatology, NHO Kagoshima Medical Center, Kagoshima 892-0853, Japan;
| | - Yuki Yamamoto
- Department of Dermatology, Wakayama Medical University, Wakayama 641-0012, Japan;
| | - Koji Yoshino
- Department of Dermato-Oncology/Dermatology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo 135-8550, Japan;
| | - Yasuhiro Fujisawa
- Department of Dermatology, Ehime University, Matsuyama 791-0295, Japan;
| | - Ryo Amagai
- Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai 980-8574, Japan; (Y.M.); (Y.K.); (R.A.); (K.O.); (A.H.); (Y.A.)
| | - Kentaro Ohuchi
- Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai 980-8574, Japan; (Y.M.); (Y.K.); (R.A.); (K.O.); (A.H.); (Y.A.)
| | - Akira Hashimoto
- Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai 980-8574, Japan; (Y.M.); (Y.K.); (R.A.); (K.O.); (A.H.); (Y.A.)
| | - Satoshi Fukushima
- Department of Dermatology and Plastic Surgery, Faculty of Life Sciences, Kumamoto University, Kumamoto 860-8556, Japan; (S.M.); (S.F.)
| | - Yoshihide Asano
- Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai 980-8574, Japan; (Y.M.); (Y.K.); (R.A.); (K.O.); (A.H.); (Y.A.)
| | - Taku Fujimura
- Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai 980-8574, Japan; (Y.M.); (Y.K.); (R.A.); (K.O.); (A.H.); (Y.A.)
| |
Collapse
|
13
|
Matusiak M, Hickey JW, van IJzendoorn DG, Lu G, Kidziński L, Zhu S, Colburg DR, Luca B, Phillips DJ, Brubaker SW, Charville GW, Shen J, Loh KM, Okwan-Duodu DK, Nolan GP, Newman AM, West RB, van de Rijn M. Spatially Segregated Macrophage Populations Predict Distinct Outcomes in Colon Cancer. Cancer Discov 2024; 14:1418-1439. [PMID: 38552005 PMCID: PMC11294822 DOI: 10.1158/2159-8290.cd-23-1300] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 02/23/2024] [Accepted: 03/26/2024] [Indexed: 08/03/2024]
Abstract
Tumor-associated macrophages are transcriptionally heterogeneous, but the spatial distribution and cell interactions that shape macrophage tissue roles remain poorly characterized. Here, we spatially resolve five distinct human macrophage populations in normal and malignant human breast and colon tissue and reveal their cellular associations. This spatial map reveals that distinct macrophage populations reside in spatially segregated micro-environmental niches with conserved cellular compositions that are repeated across healthy and diseased tissue. We show that IL4I1+ macrophages phagocytose dying cells in areas with high cell turnover and predict good outcome in colon cancer. In contrast, SPP1+ macrophages are enriched in hypoxic and necrotic tumor regions and portend worse outcome in colon cancer. A subset of FOLR2+ macrophages is embedded in plasma cell niches. NLRP3+ macrophages co-localize with neutrophils and activate an inflammasome in tumors. Our findings indicate that a limited number of unique human macrophage niches function as fundamental building blocks in tissue. Significance: This work broadens our understanding of the distinct roles different macrophage populations may exert on cancer growth and reveals potential predictive markers and macrophage population-specific therapy targets.
Collapse
Affiliation(s)
| | - John W. Hickey
- Department of Pathology, Stanford University, Stanford, California.
| | | | - Guolan Lu
- Department of Pathology, Stanford University, Stanford, California.
| | - Lukasz Kidziński
- Department of Bioengineering, Stanford University, Stanford, California.
| | - Shirley Zhu
- Department of Pathology, Stanford University, Stanford, California.
| | | | - Bogdan Luca
- Department of Medicine, Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, California.
- Department of Biomedical Data Science, Stanford University, Stanford, California.
| | | | - Sky W. Brubaker
- Department of Microbiology and Immunology, Stanford University, Stanford, California.
| | | | - Jeanne Shen
- Department of Pathology, Stanford University, Stanford, California.
| | - Kyle M. Loh
- Department of Developmental Biology, Stanford University, Stanford, California.
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California.
| | | | - Garry P. Nolan
- Department of Pathology, Stanford University, Stanford, California.
| | - Aaron M. Newman
- Department of Biomedical Data Science, Stanford University, Stanford, California.
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California.
- Stanford Cancer Institute, Stanford University, Stanford, California.
| | - Robert B. West
- Department of Pathology, Stanford University, Stanford, California.
| | - Matt van de Rijn
- Department of Pathology, Stanford University, Stanford, California.
| |
Collapse
|
14
|
Gong W, Zhang S, Tian X, Chen W, He Y, Chen L, Ding T, Ren P, Shi L, Wu Q, Sun Y, Chen L, Guo H. Tertiary lymphoid structures as a potential prognostic biomarker for combined hepatocellular-cholangiocarcinoma. Hepatol Int 2024; 18:1310-1325. [PMID: 38767772 PMCID: PMC11297834 DOI: 10.1007/s12072-024-10694-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Accepted: 04/24/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND Combined hepatocellular-cholangiocarcinoma (cHCC-CCA), as a rare primary hepatic tumor, is challenging to accurately assess in terms of the clinical outcomes and prognostic risk factors in patients. This study aimed to clarify the function of tertiary lymphoid structure (TLS) status in predicting the outcome of cHCC-CCA and to preliminarily explore the possible mechanism of TLS formation. METHODS The TLSs, with different spatial distributions and densities, of 137 cHCC-CCA were quantified, and their association with prognosis was assessed by Cox regression and Kaplan-Meier analyses. We further validated TLS possible efficacy in predicting immunotherapy responsiveness in two cHCC-CCA case reports. TLS composition and its relationship to CXCL12 expression were analysed by fluorescent multiplex immunohistochemistry. RESULTS A high intratumoural TLS score was correlated with prolonged survival, whereas a high TLS density in adjacent tissue indicated a worse prognosis in cHCC-CCA. Mature TLSs were related to favorable outcomes and showed more CD8 + T cells infiltrating tumor tissues. We further divided the cHCC-CCA patients into four immune grades by combining the peri-TLS and intra-TLS, and these grades were an independent prognostic factor. In addition, our reported cases suggested a potential value of TLS in predicting immunotherapy response in cHCC-CCA patients. Our findings suggested that CXCL12 expression in cHCC-CCA tissue was significantly correlated with TLS presence. CONCLUSION The spatial distribution and density of TLSs revealing the characteristics of the cHCC-CCA immune microenvironment, significantly correlated with prognosis and provided a potential immunotherapy response biomarker for cHCC-CCA.
Collapse
Affiliation(s)
- Wenchen Gong
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
- National Clinical Research Center for Cancer, National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine, Tianjin Key Laboratory of Digestive Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Su Zhang
- Department of Gynecological Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
- National Clinical Research Center for Cancer, National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine, Tianjin Key Laboratory of Digestive Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Xiangdong Tian
- Department of Endoscopic Diagnosis and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
- National Clinical Research Center for Cancer, National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine, Tianjin Key Laboratory of Digestive Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Wenshuai Chen
- Department of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
- National Clinical Research Center for Cancer, National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine, Tianjin Key Laboratory of Digestive Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Yuchao He
- Department of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
- National Clinical Research Center for Cancer, National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine, Tianjin Key Laboratory of Digestive Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Liwei Chen
- Department of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
- National Clinical Research Center for Cancer, National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine, Tianjin Key Laboratory of Digestive Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Tingting Ding
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
- National Clinical Research Center for Cancer, National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine, Tianjin Key Laboratory of Digestive Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Peiqi Ren
- Department of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
- National Clinical Research Center for Cancer, National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine, Tianjin Key Laboratory of Digestive Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Lin Shi
- Department of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China
- National Clinical Research Center for Cancer, National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine, Tianjin Key Laboratory of Digestive Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
| | - Qiang Wu
- Department of Hepatobiliary Cancer, Tianjin Medical University Cancer Institute and Hospital, Liver Cancer Research Center, Tianjin, 300060, China.
- National Clinical Research Center for Cancer, National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine, Tianjin Key Laboratory of Digestive Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China.
| | - Yan Sun
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
- National Clinical Research Center for Cancer, National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine, Tianjin Key Laboratory of Digestive Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China.
| | - Lu Chen
- Department of Hepatobiliary Cancer, Tianjin Medical University Cancer Institute and Hospital, Liver Cancer Research Center, Tianjin, 300060, China.
- National Center for Global Health and Medicine, Department of Hepato-Biliary-Pancreatic Surgery, Tokyo, Japan.
- National Clinical Research Center for Cancer, National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine, Tianjin Key Laboratory of Digestive Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China.
| | - Hua Guo
- Department of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
- National Clinical Research Center for Cancer, National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine, Tianjin Key Laboratory of Digestive Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China.
| |
Collapse
|
15
|
Zhao M, Wang L, Wang X, He J, Yu K, Li D. Non-neoplastic cells as prognostic biomarkers in diffuse large B-cell lymphoma: A system review and meta-analysis. TUMORI JOURNAL 2024; 110:227-240. [PMID: 38183180 DOI: 10.1177/03008916231221636] [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] [Indexed: 01/07/2024]
Abstract
The microenvironment of diffuse large B-cell lymphoma (DLBCL) is composed of various components, including immune cells and immune checkpoints, some of which have been correlated with the prognosis of DLBCL, but their results remain controversial. Therefore, we conducted a systematic review and meta-analysis to investigate the association between the microenvironment and prognosis in DLBCL. We searched PubMed, Web of Science, and EMBASE for relevant articles between 2001 and 2022. Twenty-five studies involving 4495 patients with DLBCL were included in the analysis. This meta-analysis confirmed that high densities of Foxp3+Tregs and PD-1+T cells are good indicators for overall survival (OS) in DLBCL, while high densities of programmed cell death protein ligand1(PD-L1)-positive expression cells and T-cell immunoglobulin-and mucin domain-3-containing molecule 3 (TIM-3)-positive expression tumor-infiltrating cells (TILs) play a contrary role in OS. Additionally, higher numbers of T-cell intracytoplasmic antigen-1(TIA-1)-positive expression T cells imply better OS and progression-free survival (PFS), while high numbers of lymphocyte activation gene(LAG)-positive expression TILs predict bad OS and PFS. Various non-tumoral cells in the microenvironment play important roles in the prognosis of DLBCL.
Collapse
MESH Headings
- Humans
- Lymphoma, Large B-Cell, Diffuse/pathology
- Lymphoma, Large B-Cell, Diffuse/immunology
- Lymphoma, Large B-Cell, Diffuse/metabolism
- Lymphoma, Large B-Cell, Diffuse/mortality
- Prognosis
- Tumor Microenvironment/immunology
- Biomarkers, Tumor/metabolism
- Lymphocytes, Tumor-Infiltrating/immunology
- Lymphocytes, Tumor-Infiltrating/metabolism
Collapse
Affiliation(s)
- Min Zhao
- Department of Pathology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Pathology, Chongqing Medical University, Chongqing, China
- Molecular Medicine Diagnostic and Testing Center of Chongqing Medical University, Chongqing, China
| | - Lixing Wang
- Department of Pathology, Chongqing Medical University, Chongqing, China
| | - Xingyu Wang
- Department of Pathology, Chongqing Medical University, Chongqing, China
| | - Juan He
- Department of Pathology, Chongqing Medical University, Chongqing, China
| | - Kuai Yu
- Department of Pathology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Molecular Medicine Diagnostic and Testing Center of Chongqing Medical University, Chongqing, China
- Department of Pathology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China
| | - Dan Li
- Department of Pathology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Pathology, Chongqing Medical University, Chongqing, China
- Molecular Medicine Diagnostic and Testing Center of Chongqing Medical University, Chongqing, China
| |
Collapse
|
16
|
Polak R, Zhang ET, Kuo CJ. Cancer organoids 2.0: modelling the complexity of the tumour immune microenvironment. Nat Rev Cancer 2024; 24:523-539. [PMID: 38977835 DOI: 10.1038/s41568-024-00706-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/09/2024] [Indexed: 07/10/2024]
Abstract
The development of neoplasia involves a complex and continuous interplay between malignantly transformed cells and the tumour microenvironment (TME). Cancer immunotherapies targeting the immune TME have been increasingly validated in clinical trials but response rates vary substantially between tumour histologies and are often transient, idiosyncratic and confounded by resistance. Faithful experimental models of the patient-specific tumour immune microenvironment, capable of recapitulating tumour biology and immunotherapy effects, would greatly improve patient selection, target identification and definition of resistance mechanisms for immuno-oncology therapeutics. In this Review, we discuss currently available and rapidly evolving 3D tumour organoid models that capture important immune features of the TME. We highlight diverse opportunities for organoid-based investigations of tumour immunity, drug development and precision medicine.
Collapse
Affiliation(s)
- Roel Polak
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, CA, USA
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands
| | - Elisa T Zhang
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, CA, USA
| | - Calvin J Kuo
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, CA, USA.
| |
Collapse
|
17
|
Hirayama AV, Wright JH, Smythe KS, Fiorenza S, Shaw AN, Gauthier J, Maloney DG, Naresh KN, Yeung CCS, Turtle CJ. PD-L1 + macrophage and tumor cell abundance and proximity to T cells in the pretreatment large B-cell lymphoma microenvironment impact CD19 CAR-T cell immunotherapy efficacy. Hemasphere 2024; 8:e142. [PMID: 39113729 PMCID: PMC11303978 DOI: 10.1002/hem3.142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 05/23/2024] [Accepted: 06/18/2024] [Indexed: 08/10/2024] Open
Abstract
CD19-targeted chimeric antigen receptor T-cell (CAR-T) immunotherapy has transformed the management of relapsed/refractory large B-cell lymphoma (LBCL), yet durable remissions are observed in less than half of treated patients. The tumor microenvironment (TME) is a key and understudied factor impacting CD19 CAR-T therapy outcomes. Using NanoString nCounter transcriptome profiling (n = 24) and multiplex immunohistochemistry (mIHC, n = 15), we studied the TME in pretreatment biopsies from patients with LBCL undergoing CD19 CAR-T therapy. Patients who achieved complete response (CR) after CAR-T therapy demonstrated higher expression of genes associated with T-cell trafficking and function, whereas those who did not achieve CR had higher expression of genes associated with macrophages and T-cell dysfunction. Distinct patterns of immune infiltration and fibrosis in the TME were associated with CAR-T therapy outcomes, and these findings were corroborated using artificial intelligence-assisted image analyses. Patients who achieved CR had a lower proportion of the biopsy occupied by an interspersed immune infiltrate and a higher proportion of hypocellular/fibrotic regions. Furthermore, mIHC revealed lower density of CD4+ T cells and higher densities of both macrophages and tumor cells expressing PD-L1 in non-CR patients. Spatial analysis revealed that PD-1+ T cells were in close proximity to PD-L1+ macrophages or PD-L1+ tumor cells in patients who did not compared to those who did achieve CR after CAR-T therapy. These findings suggest that morphologic patterns in the TME and engagement of the PD-1/PD-L1 axis in pretreatment biopsies may impact CD19 CAR-T immunotherapy response in patients with LBCL.
Collapse
Affiliation(s)
- Alexandre V. Hirayama
- Clinical Research DivisionFred Hutchinson Cancer CenterSeattleWashingtonUSA
- Department of MedicineUniversity of WashingtonSeattleWashingtonUSA
- Integrated Immunotherapy Research Center, Fred Hutchinson Cancer CenterSeattleWashingtonUSA
| | - Jocelyn H. Wright
- Clinical Research DivisionFred Hutchinson Cancer CenterSeattleWashingtonUSA
| | - Kimberly S. Smythe
- Translational Science and Therapeutics DivisionFred Hutchinson Cancer CenterSeattleWashingtonUSA
| | - Salvatore Fiorenza
- Clinical Research DivisionFred Hutchinson Cancer CenterSeattleWashingtonUSA
- Faculty of Medicine and HealthThe University of SydneyCamperdownNew South WalesAustralia
| | - Akira N. Shaw
- Faculty of Medicine and HealthThe University of SydneyCamperdownNew South WalesAustralia
| | - Jordan Gauthier
- Clinical Research DivisionFred Hutchinson Cancer CenterSeattleWashingtonUSA
- Department of MedicineUniversity of WashingtonSeattleWashingtonUSA
- Integrated Immunotherapy Research Center, Fred Hutchinson Cancer CenterSeattleWashingtonUSA
| | - David G. Maloney
- Department of MedicineUniversity of WashingtonSeattleWashingtonUSA
- Integrated Immunotherapy Research Center, Fred Hutchinson Cancer CenterSeattleWashingtonUSA
- Translational Science and Therapeutics DivisionFred Hutchinson Cancer CenterSeattleWashingtonUSA
| | - Kikkeri N. Naresh
- Integrated Immunotherapy Research Center, Fred Hutchinson Cancer CenterSeattleWashingtonUSA
- Translational Science and Therapeutics DivisionFred Hutchinson Cancer CenterSeattleWashingtonUSA
- Department of Laboratory Medicine and PathologyUniversity of WashingtonSeattleWashingtonUSA
| | - Cecilia C. S. Yeung
- Integrated Immunotherapy Research Center, Fred Hutchinson Cancer CenterSeattleWashingtonUSA
- Translational Science and Therapeutics DivisionFred Hutchinson Cancer CenterSeattleWashingtonUSA
- Department of Laboratory Medicine and PathologyUniversity of WashingtonSeattleWashingtonUSA
| | - Cameron J. Turtle
- Department of MedicineUniversity of WashingtonSeattleWashingtonUSA
- Integrated Immunotherapy Research Center, Fred Hutchinson Cancer CenterSeattleWashingtonUSA
- Translational Science and Therapeutics DivisionFred Hutchinson Cancer CenterSeattleWashingtonUSA
- Faculty of Medicine and HealthThe University of SydneyCamperdownNew South WalesAustralia
| |
Collapse
|
18
|
Al Assaad M, Safa H, Mercinelli C, Spiess PE, Necchi A, Chahoud J. Immune-based Therapies for Penile Cancer. Urol Clin North Am 2024; 51:355-365. [PMID: 38925738 DOI: 10.1016/j.ucl.2024.03.014] [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] [Indexed: 06/28/2024]
Abstract
This article reviews penile squamous cell carcinoma (PSCC), a rare genitourinary cancer that has been increasing in prevalence. It discusses emerging therapies, focusing on immunotherapy, vaccine therapy, and cell-based treatments, especially in the context of human papillomavirus-related PSCC. Factors influencing these therapies are discussed. These include the immune microenvironment, programmed cell death ligand-1 expression, and tumor immune cell infiltration. This article also highlights immune checkpoint inhibitors and related clinical trials. This review supports the use of personalized medicine in treating PSCC. It stresses the need for collaborative studies and data sharing to create specific treatment plans and achieve better outcomes.
Collapse
Affiliation(s)
- Majd Al Assaad
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, 413 East 69th Street, Belfer Research Building, New York, NY 10021, USA.
| | - Houssein Safa
- Department of Hematology/Oncology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA
| | - Chiara Mercinelli
- Department of Medical Oncology, IRCCS San Raffaele Hospital; Medical Oncology Unit 2, Azienda Ospedaliero-Universitaria Pisana, Via Olgettina 60, Milan 20132, Italy
| | - Philippe E Spiess
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive office 12538, Tampa, FL 33612, USA
| | - Andrea Necchi
- Department of Medical Oncology, IRCCS San Raffaele Hospital; Vita-Salute San Raffaele University, Via Olgettina 60, Milan 20132, Italy
| | - Jad Chahoud
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive office 12538, Tampa, FL 33612, USA.
| |
Collapse
|
19
|
Huang X, Du G, Yang Y, Su P, Chen S, Cai C, Huang T, Zeng Y, Tao Y, Tian D, Zhang N. Advancing bladder cancer management: development of a prognostic model and personalized therapy. Front Immunol 2024; 15:1430792. [PMID: 39104534 PMCID: PMC11298345 DOI: 10.3389/fimmu.2024.1430792] [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: 05/10/2024] [Accepted: 07/08/2024] [Indexed: 08/07/2024] Open
Abstract
Background Bladder cancer (BLCA) was recognized as a significant public health challenge due to its high incidence and mortality rates. The influence of molecular subtypes on treatment outcomes was well-acknowledged, necessitating further exploration of their characterization and application. This study was aimed at enhancing the understanding of BLCA by mapping its molecular heterogeneity and developing a robust prognostic model using single-cell and bulk RNA sequencing data. Additionally, immunological characteristics and personalized treatment strategies were investigated through the risk score. Methods Single-cell RNA sequencing (scRNA-seq) data from GSE135337 and bulk RNA-seq data from several sources, including GSE13507, GSE31684, GSE32894, GSE69795, and TCGA-BLCA, were utilized. Molecular subtypes, particularly the basal-squamous (Ba/Sq) subtype associated with poor prognosis, were identified. A prognostic model was constructed using LASSO and Cox regression analyses focused on genes linked with the Ba/Sq subtype. this model was validated across internal and external datasets to ensure predictive accuracy. High- and low-risk groups based on the risk score derived from TCGA-BLCA data were analyzed to examine their immune-related molecular profiles and treatment responses. Results Six molecular subtypes were identified, with the Ba/Sq subtype being consistently associated with poor prognosis. The prognostic model, based on basal-squamous subtype-related genes (BSSRGs), was shown to have strong predictive performance across diverse clinical settings with AUC values at 1, 3, and 5 years indicating robust predictability in training, testing, and entire datasets. Analysis of the different risk groups revealed distinct immune infiltration and microenvironments. Generally higher tumor mutation burden (TMB) scores and lower tumor immune dysfunction and exclusion (TIDE) scores were exhibited by the low-risk group, suggesting varied potentials for systemic drug response between the groups. Finally, significant differences in potential systemic drug response rates were also observed between risk groups. Conclusions The study introduced and validated a new prognostic model for BLCA based on BSSRGs, which was proven effective in prognosis prediction. The potential for personalized therapy, optimized by patient stratification and immune profiling, was highlighted by our risk score, aiming to improve treatment efficacy. This approach was promised to offer significant advancements in managing BLCA, tailoring treatments based on detailed molecular and immunological insights.
Collapse
Affiliation(s)
- Xiang Huang
- Department of Urology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Guotu Du
- Department of Urology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Ying Yang
- Department of Pathology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Peng Su
- Department of Urology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
- Department of Pathology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Shicheng Chen
- Department of Urology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Chongjiong Cai
- Department of Urology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
- Department of Urology, Renhuai People’s Hospital, Zunyi, China
| | - Tianyu Huang
- Department of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Yu Zeng
- Department of Urology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Yonggang Tao
- Department of Urology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Demei Tian
- Department of Urology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Neng Zhang
- Department of Urology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| |
Collapse
|
20
|
Majumder B, Nataraj NB, Maitreyi L, Datta S. Mismatch repair-proficient tumor footprints in the sands of immune desert: mechanistic constraints and precision platforms. Front Immunol 2024; 15:1414376. [PMID: 39100682 PMCID: PMC11294168 DOI: 10.3389/fimmu.2024.1414376] [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: 04/08/2024] [Accepted: 06/17/2024] [Indexed: 08/06/2024] Open
Abstract
Mismatch repair proficient (MMRp) tumors of colorectal origin are one of the prevalent yet unpredictable clinical challenges. Despite earnest efforts, optimal treatment modalities have yet to emerge for this class. The poor prognosis and limited actionability of MMRp are ascribed to a low neoantigen burden and a desert-like microenvironment. This review focuses on the critical roadblocks orchestrated by an immune evasive mechanistic milieu in the context of MMRp. The low density of effector immune cells, their weak spatiotemporal underpinnings, and the high-handedness of the IL-17-TGF-β signaling are intertwined and present formidable challenges for the existing therapies. Microbiome niche decorated by Fusobacterium nucleatum alters the metabolic program to maintain an immunosuppressive state. We also highlight the evolving strategies to repolarize and reinvigorate this microenvironment. Reconstruction of anti-tumor chemokine signaling, rational drug combinations eliciting T cell activation, and reprograming the maladapted microbiome are exciting developments in this direction. Alternative vulnerability of other DNA damage repair pathways is gaining momentum. Integration of liquid biopsy and ex vivo functional platforms provide precision oncology insights. We illustrated the perspectives and changing landscape of MMRp-CRC. The emerging opportunities discussed in this review can turn the tide in favor of fighting the treatment dilemma for this elusive cancer.
Collapse
|
21
|
Zhang Y, Li J, Feng L, Cheng Y, Shi L, Yang Q, Wang Z, Yi X, Zhong G, Sun X, Cheng Z, Guo M. STAC3 as a poor prognostic biomarker in renal clear cell carcinoma: relationship with immune infiltration. Am J Cancer Res 2024; 14:3294-3316. [PMID: 39113874 PMCID: PMC11301302 DOI: 10.62347/eaqw3113] [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: 04/02/2024] [Accepted: 06/17/2024] [Indexed: 08/10/2024] Open
Abstract
Calcium ions (Ca2+) are crucial in tumorigenesis and progression, with their elevated levels indicating a negative prognosis in Kidney Renal Clear Cell Carcinoma (KIRC). The influence of genes regulating calcium ions on the survival outcomes of KIRC patients and their interaction with the tumor's immune microenvironment is yet to be fully understood. This study analyzed gene expression data from KIRC tumor and adjacent non-tumor tissues using the TCGA-KIRC dataset to pinpoint genes that are differentially expressed in KIRC. Intersection of these genes with those regulating calcium ions highlighted specific calcium ion-regulating genes that exhibit differential expression in KIRC. Subsequently, prognostic risk models were developed using univariate Cox and LASSO-Cox regression analyses to verify their diagnostic precision. Additionally, the study investigated the correlation between tumor immunity and KIRC patient outcomes, assessing the contribution of STAC3 genes to tumor immunity. Further exploration entailed SSGASE, single-cell analysis, pseudotime analysis and both in vivo and in vitro experiments to evaluate STAC3's role in tumor immunity and progression. Notably, STAC3 was significantly overexpressed in tumor specimens and positively correlated with the degree of malignancy of KIRC, affecting patients' prognosis. Elevated STAC3 expression correlated with enhanced immune infiltration in KIRC tumors. Furthermore, silencing STAC3 curtailed KIRC cell proliferation, migration, invasion, and stemness properties. Experimental models in mice confirmed that STAC3 knockdown led to a reduction in tumor growth. Elevated STAC3 expression is intricately linked with immune infiltration in KIRC tumors, as well as with the aggressive biological behaviors of tumor cells, including their proliferation, migration, and invasion. Targeting STAC3 presents a promising strategy to augment the efficacy of current therapeutic approaches and to better the survival outcomes of patients with KIRC.
Collapse
Affiliation(s)
- Yingnan Zhang
- The Fourth Affiliated Hospital of Harbin Medical University Harbin 150001, Heilongjiang, China
| | - Jingtao Li
- The Fourth Affiliated Hospital of Harbin Medical University Harbin 150001, Heilongjiang, China
| | - Luwen Feng
- The Fourth Affiliated Hospital of Harbin Medical University Harbin 150001, Heilongjiang, China
| | - Yue Cheng
- The Fourth Affiliated Hospital of Harbin Medical University Harbin 150001, Heilongjiang, China
| | - Linlin Shi
- The Fourth Affiliated Hospital of Harbin Medical University Harbin 150001, Heilongjiang, China
| | - Qian Yang
- The Fourth Affiliated Hospital of Harbin Medical University Harbin 150001, Heilongjiang, China
| | - Zhaoyang Wang
- The Fourth Affiliated Hospital of Harbin Medical University Harbin 150001, Heilongjiang, China
| | - Xuan Yi
- The Fourth Affiliated Hospital of Harbin Medical University Harbin 150001, Heilongjiang, China
| | - Guocai Zhong
- The Fourth Affiliated Hospital of Harbin Medical University Harbin 150001, Heilongjiang, China
| | - Xueying Sun
- The Fourth Affiliated Hospital of Harbin Medical University Harbin 150001, Heilongjiang, China
| | - Zhifeng Cheng
- The Fourth Affiliated Hospital of Harbin Medical University Harbin 150001, Heilongjiang, China
| | - Min Guo
- The Fourth Affiliated Hospital of Harbin Medical University Harbin 150001, Heilongjiang, China
| |
Collapse
|
22
|
Lu Y, Xie X, Luo L. Ferroptosis crosstalk in anti-tumor immunotherapy: molecular mechanisms, tumor microenvironment, application prospects. Apoptosis 2024:10.1007/s10495-024-01997-8. [PMID: 39008197 DOI: 10.1007/s10495-024-01997-8] [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] [Accepted: 06/24/2024] [Indexed: 07/16/2024]
Abstract
Immunotherapies for cancer, specifically immune checkpoint inhibition (ICI), have shown potential in reactivating the body's immune response against tumors. However, there are challenges to overcome in addressing drug resistance and improving the effectiveness of these treatments. Recent research has highlighted the relationship between ferroptosis and the immune system within immune cells and the tumor microenvironment (TME), suggesting that combining targeted ferroptosis with immunotherapy could enhance anti-tumor effects. This review explores the potential of using immunotherapy to target ferroptosis either alone or in conjunction with other therapies like immune checkpoint blockade (ICB) therapy, radiotherapy, and nanomedicine synergistic treatments. It also delves into the roles of different immune cell types in promoting anti-tumor immune responses through ferroptosis. Together, these findings provide a comprehensive understanding of synergistic immunotherapy focused on ferroptosis and offer innovative strategies for cancer treatment.
Collapse
Affiliation(s)
- Yining Lu
- The First Clinical College, Guangdong Medical University, Zhanjiang, 524023, Guangdong, China
| | - Xiaoting Xie
- The First Clinical College, Guangdong Medical University, Zhanjiang, 524023, Guangdong, China
| | - Lianxiang Luo
- The Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China.
| |
Collapse
|
23
|
Ledderose S, Ledderose C, Ledderose GJ. Expression of immune checkpoint molecules TIGIT and TIM-3 by tumor-infiltrating lymphocytes predicts poor outcome in sinonasal mucosal melanoma. Pathol Res Pract 2024; 260:155468. [PMID: 39018929 DOI: 10.1016/j.prp.2024.155468] [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: 06/03/2024] [Accepted: 07/12/2024] [Indexed: 07/19/2024]
Abstract
BACKGROUND Sinonasal mucosal melanoma (SNMM) is a rare but aggressive tumor with a poor prognosis. The co-inhibitory receptors T cell immunoglobulin and mucinodomain containing-3 (TIM-3), lymphocyte activation gene-3 (LAG-3) and T cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif domain (TIGIT) are promising new targets in anti-cancer immunotherapy. The expression profiles of these immune checkpoint molecules (ICMs) and potential prognostic implications have not been characterized in SNMM yet. METHODS Immunohistochemical staining for TIGIT, LAG-3 and TIM-3 was performed on tumor tissue samples from 27 patients with primary SNMM. Associations between ICM expression and demographic parameters, AJCC tumor stage, overall survival, and recurrence-free survival were retrospectively analyzed. RESULTS SNMM patients with low numbers of TIGIT+ and TIM-3+ tumor infiltrating lymphocytes (TILs) in the primary tumor survived significantly longer than patients with a high degree of TIGIT+ and TIM-3+ TILs. High infiltration with TIM-3+ or TIGIT+ lymphocytes was associated with the higher T4 stage and decreased 5-year survival. CONCLUSION We identified high densities of TIM-3+ and TIGIT+ TILs as strong negative prognostic biomarkers in SNMM. This suggests that TIM-3 and TIGIT contribute to immunosuppression in SNMM and provides a rationale for novel treatment strategies based on this next generation of immune checkpoint inhibitors. Prospective studies with larger case numbers are warranted to confirm our findings and their implications for immunotherapy.
Collapse
Affiliation(s)
- Stephan Ledderose
- Institute of Pathology, Faculty of Medicine, LMU Munich, Munich, Germany.
| | - Carola Ledderose
- Department of Surgery, Division of Surgical Sciences, University of California San Diego, San Diego, CA, USA
| | - Georg J Ledderose
- Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital of LMU Munich, Munich, Germany; ENT-Center Dr. Lübbers & Kollegen, Weilheim, Germany
| |
Collapse
|
24
|
Zhang J, Du B, Wang Y, Cui Y, Wang S, Zhao Y, Li Y, Li X. The role of CD8 PET imaging in guiding cancer immunotherapy. Front Immunol 2024; 15:1428541. [PMID: 39072335 PMCID: PMC11272484 DOI: 10.3389/fimmu.2024.1428541] [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: 05/06/2024] [Accepted: 06/27/2024] [Indexed: 07/30/2024] Open
Abstract
Currently, immunotherapy is being widely used for treating cancers. However, the significant heterogeneity in patient responses is a major challenge for its successful application. CD8-positive T cells (CD8+ T cells) play a critical role in immunotherapy. Both their infiltration and functional status in tumors contribute to treatment outcomes. Therefore, accurate monitoring of CD8+ T cells, a potential biomarker, may improve therapeutic strategy. Positron emission tomography (PET) is an optimal option which can provide molecular imaging with enhanced specificity. This review summarizes the mechanism of action of CD8+ T cells in immunotherapy, and highlights the recent advancements in PET-based tracers that can visualize CD8+ T cells and discusses their clinical applications to elucidate their potential role in cancer immunotherapy.
Collapse
Affiliation(s)
| | | | | | | | | | | | - Yaming Li
- Department of Nuclear Medicine, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Xuena Li
- Department of Nuclear Medicine, The First Hospital of China Medical University, Shenyang, Liaoning, China
| |
Collapse
|
25
|
Kippenberger M, Schönberg G, Kaczorowski A, Schneider F, Böning S, Sun A, Schwab C, Görtz M, Schütz V, Stenzinger A, Hohenfellner M, Duensing A, Duensing S. Immune landscape of renal cell carcinoma with metastasis to the pancreas. Urol Oncol 2024:S1078-1439(24)00502-7. [PMID: 38981801 DOI: 10.1016/j.urolonc.2024.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 05/17/2024] [Accepted: 06/02/2024] [Indexed: 07/11/2024]
Abstract
INTRODUCTION Clear cell Renal Cell Carcinoma (ccRCC) has a poor prognosis once metastatic. However, certain metastatic sites have been reported to have a different impact on the patient prognosis. For example, patients with pancreatic metastases have a much more favorable prognosis than those with metastases to other organs. The biological basis for this observation remains poorly understood. The aim of this study was to characterize the immune landscape of pancreatic metastases and the corresponding primary tumors in order to identify possible immunological features that correlate with disease biology. PATIENTS AND METHODS A detailed assessment of immune cell populations was performed using a total of 1,700 microscopic images from ccRCCs from 11 patients, their corresponding pancreatic metastases and ccRCCs from 10 patients without pancreatic metastases. Tumor specimens were stained for CD45, CD8, CD163 and FOXP3 and the densities of the respective immune cells were assessed semiquantitatively in the intratumoral and extratumoral compartment. Multispectral imaging was performed in selected tumors. RESULTS We found that pancreatic metastases show the lowest intratumoral infiltration with CD8+ cytotoxic T lymphocytes of all tumor specimens analyzed. The frequency of CD8+ lymphocytes was on 1.9 fold lower in pancreatic metastases (median density 8.3 cells per field of view [FOV] = 1.23 mm2) when compared to the corresponding primary tumor (15.6 cells per FOV, P = 0.0002) and more than 3-fold lower when compared to ccRCCs without pancreatic metastases (27.2 cells per FOV, P = 0.0012). There was also a significantly reduced intratumoral infiltration with immunosuppressive FOXP3+ lymphocytes in pancreatic metastases (2.6 cells per FOV, P = 0.009) and corresponding primary tumors (2 cells per FOV, P = 0.028) when compared to ccRCCs without pancreatic metastases (5.6 cells per FOV). CONCLUSIONS In this proof-of-concept study, we show that pancreatic metastases of ccRCC present with unique immunological features including a low intratumoral density of CD8+ and FOXP3+ lymphocytes. The low counts of CD8+ and FOXP3+ lymphocytes may reflect less aggressive features of ccRCC with pancreatic metastasis that may result in a more favorable patient prognosis.
Collapse
Affiliation(s)
- Maximilian Kippenberger
- Department of Urology, Molecular Urooncology, University Hospital Heidelberg, Heidelberg, Germany
| | - Gita Schönberg
- Department of Urology, University Hospital Heidelberg and National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany
| | - Adam Kaczorowski
- Department of Urology, Molecular Urooncology, University Hospital Heidelberg, Heidelberg, Germany
| | - Felix Schneider
- Department of Urology, Molecular Urooncology, University Hospital Heidelberg, Heidelberg, Germany
| | - Sarah Böning
- Department of Urology, Molecular Urooncology, University Hospital Heidelberg, Heidelberg, Germany
| | - Angela Sun
- Cancer Therapeutics Program, UPMC Hillman Cancer Center, Pittsburgh, PA
| | - Constantin Schwab
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - Magdalena Görtz
- Department of Urology, University Hospital Heidelberg and National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany
| | - Viktoria Schütz
- Department of Urology, University Hospital Heidelberg and National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany
| | | | - Markus Hohenfellner
- Department of Urology, University Hospital Heidelberg and National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg, Germany
| | - Anette Duensing
- Cancer Therapeutics Program, UPMC Hillman Cancer Center, Pittsburgh, PA; Department of Urology, Precision Oncology of Urological Malignancies, University Hospital Heidelberg, Heidelberg, Germany
| | - Stefan Duensing
- Department of Urology, Molecular Urooncology, University Hospital Heidelberg, Heidelberg, Germany.
| |
Collapse
|
26
|
Xu J, Liu Z, Zhang S, Xiang J, Lan H, Bao Y. Anti-hepatoma immunotherapy of Pholiota adiposa polysaccharide-coated selenium nanoparticles by reversing M2-like tumor-associated macrophage polarization. Int J Biol Macromol 2024:133667. [PMID: 38969038 DOI: 10.1016/j.ijbiomac.2024.133667] [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: 12/21/2023] [Revised: 07/01/2024] [Accepted: 07/02/2024] [Indexed: 07/07/2024]
Abstract
Targeting macrophages to regulate the tumor microenvironment is a promising strategy for treating cancer. This study developed a stable nano drug (PAP-SeNPs) using Se nanoparticles (SeNPs) and the Pholiota adiposa polysaccharide component (PAP-1a) and reported their physical stability, M2-like macrophages targeting efficacy and anti-hepatoma immunotherapy potential, as well as their molecular mechanisms. Furthermore, the zero-valent and well-dispersed spherical PAP-SeNPs were also successfully synthesized with an average size of 55.84 nm and a negative ζ-potential of -51.45 mV. Moreover, it was observed that the prepared PAP-SeNPs were stable for 28 days at 4 °C. Intravital imaging highlighted that PAP-SeNPs had the dual effect of targeting desirable immune organs and tumors. In vitro analyses showed that the PAP-SeNPs polarized M2-like macrophages towards the M1 phenotype to induce hepatoma cell death, triggered by the time-dependent lysosomal endocytosis in macrophages. Mechanistically, PAP-SeNPs significantly activated the Tlr4/Myd88/NF-κB axis to transform tumor-promoting macrophages into tumor-inhibiting macrophages and successfully initiated antitumor immunotherapy. Furthermore, PAP-SeNPs also enhanced CD3+CD4+ T cells and CD3+CD8+ T cells, thereby further stimulating anti-hepatoma immune responses. These results suggest that the developed PAP-SeNPs is a promising immunostimulant that can assist hepatoma therapy.
Collapse
Affiliation(s)
- Jie Xu
- Department of Clinical Laboratory, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400060, China
| | - Zijing Liu
- Department of Gastroenterology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing 401120, China
| | - Sitong Zhang
- Department of Clinical Laboratory, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400060, China
| | - Junqi Xiang
- Department of Biochemistry and Molecular Biology, Molecular Medicine and Cancer Research Center, College of Basic Medical Sciences, Chongqing Medical University, Chongqing 400016, China
| | - Haiyan Lan
- Department of Clinical Laboratory, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400060, China
| | - Yixi Bao
- Department of Clinical Laboratory, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400060, China.
| |
Collapse
|
27
|
Afzal MZ, Vahdat LT. Evolving Management of Breast Cancer in the Era of Predictive Biomarkers and Precision Medicine. J Pers Med 2024; 14:719. [PMID: 39063972 PMCID: PMC11278458 DOI: 10.3390/jpm14070719] [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: 05/22/2024] [Revised: 06/17/2024] [Accepted: 06/30/2024] [Indexed: 07/28/2024] Open
Abstract
Breast cancer is the most common cancer among women in the world as well as in the United States. Molecular and histological differentiation have helped clinicians optimize treatments with various therapeutics, including hormonal therapy, chemotherapy, immunotherapy, and radiation therapy. Recently, immunotherapy has become the standard of care in locally advanced triple-negative breast cancer and an option across molecular subtypes for tumors with a high tumor mutation burden. Despite the advancements in personalized medicine directing the management of localized and advanced breast cancers, the emergence of resistance to these therapies is the leading cause of death among breast cancer patients. Therefore, there is a critical need to identify and validate predictive biomarkers to direct treatment selection, identify potential responders, and detect emerging resistance to standard therapies. Areas of active scientific and clinical research include novel personalized and predictive biomarkers incorporating tumor microenvironment, tumor immune profiling, molecular characterization, and histopathological differentiation to predict response and the potential emergence of resistance.
Collapse
Affiliation(s)
- Muhammad Zubair Afzal
- Medical Oncology, Comprehensive Breast Program, Dartmouth Cancer Center, Lebanon, NH 03755, USA
| | - Linda T. Vahdat
- Medical Oncology and Hematology (Interim), Dartmouth Cancer Center, Lebanon, NH 03755, USA;
| |
Collapse
|
28
|
Pan H, Yu S, Zhuang H, Yang H, Jiang J, Yang H, Ren S, Luo G, Yu X, Chen S, Lin Y, Sheng R, Zhang S, Yuan Q, Huang C, Zhang T, Li T, Ge S, Zhang J, Xia N. Orchestrated Codelivery of Peptide Antigen and Adjuvant to Antigen-Presenting Cells by Using an Engineered Chimeric Peptide Enhances Antitumor T-Cell Immunity. Cancer Immunol Res 2024; 12:905-920. [PMID: 38631019 DOI: 10.1158/2326-6066.cir-23-0926] [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: 11/03/2023] [Revised: 02/17/2024] [Accepted: 04/11/2024] [Indexed: 04/19/2024]
Abstract
The intrinsic pharmacokinetic limitations of traditional peptide-based cancer vaccines hamper effective cross-presentation and codelivery of antigens (Ag) and adjuvants, which are crucial for inducing robust antitumor CD8+ T-cell responses. In this study, we report the development of a versatile strategy that simultaneously addresses the different pharmacokinetic challenges of soluble subunit vaccines composed of Ags and cytosine-guanosine oligodeoxynucleotide (CpG) to modulate vaccine efficacy via translating an engineered chimeric peptide, eTAT, as an intramolecular adjuvant. Linking Ags to eTAT enhanced cytosolic delivery of the Ags. This, in turn, led to improved activation and lymph node-trafficking of Ag-presenting cells and Ag cross-presentation, thus promoting Ag-specific T-cell immune responses. Simple mixing of eTAT-linked Ags and CpG significantly enhanced codelivery of Ags and CpG to the Ag-presenting cells, and this substantially augmented the adjuvant effect of CpG, maximized vaccine immunogenicity, and elicited robust and durable CD8+ T-cell responses. Vaccination with this formulation altered the tumor microenvironment and exhibited potent antitumor effects, with generally further enhanced therapeutic efficacy when used in combination with anti-PD1. Altogether, the engineered chimeric peptide-based orchestrated codelivery of Ag and adjuvant may serve as a promising but simple strategy to improve the efficacy of peptide-based cancer vaccines.
Collapse
Affiliation(s)
- Haifeng Pan
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Siyuan Yu
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Haoyun Zhuang
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Han Yang
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Jinlu Jiang
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Haihui Yang
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Shuling Ren
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Guoxing Luo
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Xuan Yu
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Shuping Chen
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Yanhua Lin
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Roufang Sheng
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Shiyin Zhang
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Quan Yuan
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Chenghao Huang
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Tianying Zhang
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Tingdong Li
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Shengxiang Ge
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Jun Zhang
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| | - Ningshao Xia
- Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, China
- National Institute of Diagnostics and Vaccine Development in Infectious Diseases, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, NMPA Key Laboratory for Research and Evaluation of Infectious Disease Diagnostic Technology, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen University, Xiamen, China
| |
Collapse
|
29
|
Lecuelle J, Truntzer C, Basile D, Laghi L, Greco L, Ilie A, Rageot D, Emile JF, Bibeau F, Taïeb J, Derangere V, Lepage C, Ghiringhelli F. Machine learning evaluation of immune infiltrate through digital tumour score allows prediction of survival outcome in a pooled analysis of three international stage III colon cancer cohorts. EBioMedicine 2024; 105:105207. [PMID: 38880067 PMCID: PMC11233898 DOI: 10.1016/j.ebiom.2024.105207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 05/18/2024] [Accepted: 06/03/2024] [Indexed: 06/18/2024] Open
Abstract
BACKGROUND T-cell immune infiltrates are robust prognostic variables in localised colon cancer. Evaluation of prognosis using artificial intelligence is an emerging field. We evaluated whether machine learning analysis improved prediction of patient outcome in comparison with analysis of T cell infiltrate only or in association with clinical variables. METHODS We used data from two phase III clinical trials (Prodige-13 and PETACC08) and one retrospective Italian cohort (HARMONY). Cohorts were split into training (N = 692), internal validation (N = 297) and external validation (N = 672) sets. Tumour slides were stained with CD3mAb. CD3 Machine Learning (CD3ML) score was computed using graphical parameters within the tumour tiles obtained from CD3 slides. CD3 infiltrates in tumour core and invasive margin were automatically detected. Associations of CD3 infiltrates and CD3ML with 5-year Disease-Free Survival (DFS) were examined using univariate and multivariable survival models by Cox regression. FINDINGS CD3 density both in the invasive margin and the tumour core were significantly associated with DFS in the different sets. Similarly, CD3ML score was significantly associated with DFS in all sets. CD3 assessment did not provide added value on top of CD3ML assessment (Likelihood Ratio Test (LRT), p = 0.13). In contrast, CD3ML improved prediction of DFS when combined with a clinical risk stage (LRT, p = 0.001). Stratified by clinical risk score (High or Low), patients with low CD3ML score had better DFS. INTERPRETATION In all tested sets, machine learning analysis of tumour cells improved prediction of prognosis compared to clinical parameters. Adding tumour-infiltrating lymphocytes assessment did not improve prognostic determination. FUNDING This research received no external funding.
Collapse
Affiliation(s)
- Julie Lecuelle
- Centre de Recherche INSERM LNC-UMR1231, Dijon, France; Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, France
| | - Caroline Truntzer
- Centre de Recherche INSERM LNC-UMR1231, Dijon, France; Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, France; Genetic and Immunology Medical Institute, Dijon, France
| | - Debora Basile
- Department of Medical Oncology, San Giovanni di Dio Hospital, Crotone, Italy
| | - Luigi Laghi
- Department of Medicine and Surgery, University of Parma, Parma, Italy; Molecular Gastroenterology Laboratory, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Luana Greco
- Molecular Gastroenterology Laboratory, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Alis Ilie
- Centre de Recherche INSERM LNC-UMR1231, Dijon, France; Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, France
| | - David Rageot
- Centre de Recherche INSERM LNC-UMR1231, Dijon, France; Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, France
| | - Jean-François Emile
- Paris-Saclay University, Versailles SQY University (UVSQ), EA4340-BECCOH, Assistance Publique-Hôpitaux de Paris (AP-HP), Ambroise Paré Hospital, Smart Imaging, Service de Pathologie, Boulogne, France
| | - Fréderic Bibeau
- Service d'Anatomie et Cytologie Pathologiques, CHU Côte de Nacre, Normandie Université, Caen, France; Department of Pathology, Besançon University Hospital, Besançon, France
| | - Julien Taïeb
- Institut du Cancer Paris Cancer Research for Personalized Medicine, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Européen Georges Pompidou, Paris, France; Centre de Recherche des Cordeliers, Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique, Sorbonne Université, Université Sorbonne Paris Cité, Université de Paris, Paris, France; Department of Gastroenterology and Digestive Oncology, Georges Pompidou European Hospital, AP-HP Centre, Université Paris Cité, Paris, France
| | - Valentin Derangere
- Centre de Recherche INSERM LNC-UMR1231, Dijon, France; Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, France; Genetic and Immunology Medical Institute, Dijon, France; University of Burgundy Franche-Comté, Dijon, France
| | - Come Lepage
- Centre de Recherche INSERM LNC-UMR1231, Dijon, France; University of Burgundy Franche-Comté, Dijon, France; Fédération Francophone de Cancérologie Digestive, Centre de Randomisation Gestion Analyse, EPICAD LNC 1231, Dijon, France; Service d'Hépato-gastroentérologie et Oncologie digestive, CHU de Dijon, France
| | - François Ghiringhelli
- Centre de Recherche INSERM LNC-UMR1231, Dijon, France; Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, France; Genetic and Immunology Medical Institute, Dijon, France; University of Burgundy Franche-Comté, Dijon, France; Department of Medical Oncology, Centre Georges-François Leclerc, Dijon, France.
| |
Collapse
|
30
|
Ghosh S, Bhuniya T, Dey A, Koley M, Roy P, Bera A, Gol D, Chowdhury A, Chowdhury R, Sen S. An Updated Review on KRAS Mutation in Lung Cancer (NSCLC) and Its Effects on Human Health. Appl Biochem Biotechnol 2024; 196:4661-4678. [PMID: 37897621 DOI: 10.1007/s12010-023-04748-8] [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: 10/17/2023] [Indexed: 10/30/2023]
Abstract
The largest cause of cancer-related fatalities worldwide is lung cancer. In its early stages, lung cancer often exhibits no signs or symptoms. Its signs and symptoms often appear when the condition is advanced. The Kirsten rat sarcoma virus oncogene homolog is one of the most frequently mutated oncogenes found in non-small cell lung cancer. Patients who have these mutations may do worse than those who do not, in terms of survival. To understand the nuances in order to choose the best treatment options for each patient, including combination therapy and potential resistance mechanisms, given the quick development of pharmaceuticals, it is necessary to know the factors that might contribute to this disease. It has been observed that single nucleotide polymorphisms altering let-7 micro-RNA might impact cancer propensity. On the other hand, gefitinib fails to stop the oncogenic protein from directly interacting with phosphoinositide3-kinase, which may explain its resistance towards cancer cells. Additionally, Atorvastatin may be able to overpower gefitinib resistance in these cancer cells that have this mutation regardless of the presence of phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha. De novo lipogenesis is also regulated by this virus. To overcome these effects, several targeted therapies have been proposed. One such therapy is to use inhibitors of focal adhesion kinases. When this is inhibited, viral oncogene mutant cancers are effectively stopped because it functions downstream of the virus. Mutant oncoproteins like epidermal growth factor receptor may depend on Heat Shock protein90 chaperones more frequently than they do on natural counterparts that make it more attractive therapeutic target for this virus. Inhibition of the phosphoinositide 3-kinase pathway is frequent in lung cancer, and fabrication of inhibitors against this pathway can also be an effective therapeutic strategy. Blocking programmed cell death ligand1 is another therapy that may help T cells to recognize and eliminate cancerous cells. This homolog is a challenging therapeutic target due to its complex structural makeup and myriad biological characteristics. Thanks to the unrelenting efforts of medical research, with the use of some inhibitors, immunotherapy, and other combination methods, this problem is currently expected to be overcome.
Collapse
Affiliation(s)
- Subhrojyoti Ghosh
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, IIT Madras, Chennai, Tamil Nadu, 600036, India.
| | - Tiyasa Bhuniya
- Department of Biotechnology, NIT Durgapur, Mahatma Gandhi Rd, A-Zone, Durgapur, West Bengal, 713209, India
| | - Anuvab Dey
- Department of Biological Sciences and Bioengineering, North Guwahati, Assam, IIT Guwahati, Assam-781039, India
| | - Madhurima Koley
- Department of Chemistry and Chemical Biology, IIT(ISM), Dhanbad, 826004, India
| | - Preeti Roy
- Department of Biotechnology, Indian Institute of Technology, Mandi, India
| | - Aishi Bera
- Department of Biotechnology, Heritage, Institute of Technology, Kolkata, West Bengal, 700107, India
| | - Debarshi Gol
- Department of Biotechnology, Heritage, Institute of Technology, Kolkata, West Bengal, 700107, India
| | - Ankita Chowdhury
- Department of Biotechnology, Heritage, Institute of Technology, Kolkata, West Bengal, 700107, India
| | - Rajanyaa Chowdhury
- Department of Biotechnology, Heritage, Institute of Technology, Kolkata, West Bengal, 700107, India
| | - Shinjini Sen
- Department of Biotechnology, Heritage, Institute of Technology, Kolkata, West Bengal, 700107, India
| |
Collapse
|
31
|
Dang Q, Zuo L, Hu X, Zhou Z, Chen S, Liu S, Ba Y, Zuo A, Xu H, Weng S, Zhang Y, Luo P, Cheng Q, Liu Z, Han X. Molecular subtypes of colorectal cancer in the era of precision oncotherapy: Current inspirations and future challenges. Cancer Med 2024; 13:e70041. [PMID: 39054866 PMCID: PMC11272957 DOI: 10.1002/cam4.70041] [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: 03/29/2024] [Revised: 07/07/2024] [Accepted: 07/12/2024] [Indexed: 07/27/2024] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is among the most hackneyed malignancies. Even patients with identical clinical symptoms and the same TNM stage still exhibit radically different clinical outcomes after receiving equivalent treatment regimens, indicating extensive heterogeneity of CRC. Myriad molecular subtypes of CRC have been exploited for decades, including the most compelling consensus molecular subtype (CMS) classification that has been broadly applied for patient stratification and biomarker-drug combination formulation. Encountering barriers to clinical translation, however, CMS classification fails to fully reflect inter- or intra-tumor heterogeneity of CRC. As a consequence, addressing heterogeneity and precisely managing CRC patients with unique characteristics remain arduous tasks for clinicians. REVIEW In this review, we systematically summarize molecular subtypes of CRC and further elaborate on their clinical applications, limitations, and future orientations. CONCLUSION In recent years, exploration of subtypes through cell lines, animal models, patient-derived xenografts (PDXs), organoids, and clinical trials contributes to refining biological insights and unraveling subtype-specific therapies in CRC. Therapeutic interventions including nanotechnology, clustered regulatory interspaced short palindromic repeat/CRISPR-associated nuclease 9 (CRISPR/Cas9), gut microbiome, and liquid biopsy are powerful tools with the possibility to shift the immunologic landscape and outlook for CRC precise medicine.
Collapse
Affiliation(s)
- Qin Dang
- Department of Interventional RadiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
- Department of Colorectal SurgeryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Lulu Zuo
- Center for Reproductive MedicineThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Xinru Hu
- Department of Cardiology, West China HospitalSichuan UniversityChengduSichuanChina
| | - Zhaokai Zhou
- Department of UrologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Shuang Chen
- Center for Reproductive MedicineThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Shutong Liu
- Department of Interventional RadiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Yuhao Ba
- Department of Interventional RadiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Anning Zuo
- Department of Interventional RadiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Hui Xu
- Department of Interventional RadiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Siyuan Weng
- Department of Interventional RadiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Yuyuan Zhang
- Department of Interventional RadiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Peng Luo
- Department of Oncology, Zhujiang HospitalSouthern Medical UniversityGuangzhouGuangdongChina
| | - Quan Cheng
- Department of Neurosurgery, Xiangya HospitalCentral South UniversityChangshaHunanChina
| | - Zaoqu Liu
- Department of Interventional RadiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
- Interventional Treatment and Clinical Research Center of Henan ProvinceZhengzhouHenanChina
- Interventional Institute of Zhengzhou UniversityZhengzhouHenanChina
- Institute of Basic Medical SciencesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Xinwei Han
- Department of Interventional RadiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
- Interventional Treatment and Clinical Research Center of Henan ProvinceZhengzhouHenanChina
- Interventional Institute of Zhengzhou UniversityZhengzhouHenanChina
| |
Collapse
|
32
|
Tanegashima T, Shiota M, Fujiyama N, Narita S, Habuchi T, Fukuchi G, Takamatsu D, Oda Y, Miyake H, Takahashi M, Oya M, Tsuchiya N, Masumori N, Matsuyama H, Obara W, Shinohara N, Fujimoto K, Nozawa M, Ohba K, Ohyama C, Hashine K, Akamatsu S, Kamba T, Mita K, Gotoh M, Tatarano S, Fujisawa M, Tomita Y, Mukai S, Ito K, Tokunaga S, Eto M. Effect of HLA Genotype on Anti-PD-1 Antibody Treatment for Advanced Renal Cell Carcinoma in the SNiP-RCC Study. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2024; 213:23-28. [PMID: 38758119 PMCID: PMC11212726 DOI: 10.4049/jimmunol.2300308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 04/16/2024] [Indexed: 05/18/2024]
Abstract
Immune checkpoint blockade therapies are widely used for cancer treatment, including advanced renal cell carcinoma (RCC). This study aimed to investigate the impact of zygosity in HLA genes and individual HLA genotypes on the efficacy of an anti-PD-1 Ab, nivolumab, in treating advanced RCC. Patient enrollment was conducted across 23 institutions in Japan from August 19, 2019, to September 30, 2020, with follow-up concluding on March 31, 2021. HLA genotype imputation of HLA-A, B, and C, DQB1, and DRB1 loci was performed. Among 222 patients, the presence of at least one homozygosity of the HLA-II allele significantly improved the best objective response (hazard ratio, 0.34; 95% confidence interval, 0.21-0.96; p = 0.042). The HLA evolutionary divergence (HED) of the HLA-A and HLA-B loci was higher than the HLA-C (p < 0.0001 and p < 0.0001, respectively), with high HED of the HLA-B locus correlating to clinical benefits in nivolumab treatment (hazard ratio, 0.44; 95% confidence interval, 0.21-0.90; p = 0.024) and improving cancer-specific survival compared with the low group (p = 0.0202). Additionally, high HED of the HLA-B locus was correlated with the number of infiltrated CD8+ cells in the tumor microenvironment (correlation coefficient, 0.4042). These findings indicate that the diversity of the HLA-B locus plays a significant role in the anti-tumor effect of nivolumab treatment in advanced RCC, potentially offering insights for improved risk stratification in nivolumab treatment and leading to better medical management of advanced RCC.
Collapse
Affiliation(s)
- Tokiyoshi Tanegashima
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Masaki Shiota
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Nobuhiro Fujiyama
- Center for Kidney Disease and Transplantation, Akita University Hospital, Akita, Japan
| | - Shintaro Narita
- Department of Urology, Graduate School of Medicine, Akita University, Akita, Japan
| | - Tomonori Habuchi
- Department of Urology, Graduate School of Medicine, Akita University, Akita, Japan
| | - Genshiro Fukuchi
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Dai Takamatsu
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoshinao Oda
- Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hideaki Miyake
- Department of Urology, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Masayuki Takahashi
- Department of Urology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Mototsugu Oya
- Department of Urology, Keio University School of Medicine, Tokyo, Japan
| | - Norihiko Tsuchiya
- Department of Urology, Faculty of Medicine, Yamagata University, Yamagata, Japan
| | - Naoya Masumori
- Department of Urology, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Hideyasu Matsuyama
- Department of Urology, Graduate School of Medicine, Yamaguchi University, Ube, Japan
| | - Wataru Obara
- Department of Urology, Iwate Medical University School of Medicine, Iwate, Japan
| | - Nobuo Shinohara
- Department of Renal and Genitourinary Surgery, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | | | - Masahiro Nozawa
- Department of Urology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Kojiro Ohba
- Department of Urology, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
| | - Chikara Ohyama
- Department of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Katsuyoshi Hashine
- Department of Urology, National Hospital Organization Shikoku Cancer Center, Ehime, Japan
| | - Shusuke Akamatsu
- Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Tomomi Kamba
- Department of Urology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto Japan
| | - Koji Mita
- Department of Urology, Hiroshima City Asa Citizens Hospital, Hiroshima, Japan
| | - Momokazu Gotoh
- Department of Urology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Shuichi Tatarano
- Department of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Masato Fujisawa
- Department of Urology, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Yoshihiko Tomita
- Department of Urology and Molecular Oncology, Graduate School of Medicine and Dental Sciences, Niigata University, Niigata, Japan
| | - Shoichiro Mukai
- Department of Urology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Keiichi Ito
- Department of Urology, National Defense Medical College, Saitama, Japan
| | - Shoji Tokunaga
- Medical Information Center, Kyushu University Hospital, Fukuoka, Japan
| | - Masatoshi Eto
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| |
Collapse
|
33
|
Li X, Zhou N, Yang Y, Lu Z, Gou H. Efficacy and biomarker analysis of second-line nab-paclitaxel plus sintilimab in patients with advanced biliary tract cancer. Cancer Sci 2024; 115:2371-2383. [PMID: 38638055 PMCID: PMC11247563 DOI: 10.1111/cas.16179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 03/18/2024] [Accepted: 03/26/2024] [Indexed: 04/20/2024] Open
Abstract
Biliary tract cancer (BTC) is a highly aggressive malignancy with limited second-line therapy. We conducted this phase 2 trial to evaluate the efficacy and safety of second-line nab-paclitaxel plus sintilimab in advanced BTC. Histologically confirmed advanced BTC patients with documented disease progression after first-line chemotherapy were enrolled. Subjects received nab-paclitaxel 125 mg/m2 on days 1 and 8 plus sintilimab 200 mg on day 1, administered every 3 weeks. The primary end point was the objective response rate (ORR). The secondary end points were progression-free survival (PFS), overall survival (OS), and adverse reactions. Simultaneously, next-generation sequencing, programmed cell death ligand 1 immunohistochemistry and multiplex immunofluorescence of tumor-infiltrating lymphocytes were applied to explore potential biomarkers. Twenty-six subjects were consecutively enrolled. The ORR was 26.9% (7/26), including two complete responses and five partial responses, which met the primary end point. The disease control rate was 61.5% (16/26). The median PFS was 169 days (about 5.6 months, 95% confidence interval [CI] 60-278 days). The median OS was 442 days (about 14.7 months, 95% CI 298-586 days). Grade 3 treatment-related adverse events (TRAEs) were mainly anemia (27%), leukopenia (23%), neutropenia (19%), and peripheral sensory neuropathy (8%). No grade 4 or 5 TRAEs occurred. Biomarker analysis suggested that positive PD-L1 and high proportions of CD8+ T-cell infiltration were correlated with improved clinical outcome. Nab-paclitaxel plus sintilimab is a potentially effective and tolerable second-line regimen for advanced BTC that deserves to be studied in large-scale trials. PD-L1 status and CD8+ T cell infiltration might be promising biomarkers for efficacy prediction.
Collapse
Affiliation(s)
- Xiaofen Li
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
- Division of Abdominal Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Nan Zhou
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
- Gastric Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yu Yang
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
- Division of Abdominal Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Zijian Lu
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Hongfeng Gou
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
- Gastric Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| |
Collapse
|
34
|
Wang Z, Zhao Y, Wo Y, Peng Y, Hu W, Wu Z, Liu P, Shang Y, Liu C, Chen X, Huang K, Chen Y, Hong H, Li F, Sun Y. The single cell immunogenomic landscape after neoadjuvant immunotherapy combined chemotherapy in esophageal squamous cell carcinoma. Cancer Lett 2024; 593:216951. [PMID: 38734159 DOI: 10.1016/j.canlet.2024.216951] [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: 11/18/2023] [Revised: 04/19/2024] [Accepted: 05/06/2024] [Indexed: 05/13/2024]
Abstract
Neoadjuvant immunotherapy represents promising strategy in the treatment of esophageal squamous cell carcinoma (ESCC). However, the mechanisms underlying its impact on treatment sensitivity or resistance remain a subject of controversy. In this study, we conducted single-cell RNA and T/B cell receptor (scTCR/scBCR) sequencing of CD45+ immune cells on samples from 10 patients who received neoadjuvant immunotherapy and chemotherapy. We also validated our findings using multiplexed immunofluorescence and analyzed bulk RNA-seq from other cohorts in public database. By integrating analysis of 87357 CD45+ cells, we found GZMK + effector memory T cells (Tem) were relatively enriched and CXCL13+ exhausted T cells (Tex) and regulator T cells (Treg) decreased among responders, indicating a persistent anti-tumor memory process. Additionally, the enhanced presence of BCR expansion and somatic hypermutation process within TNFRSF13B + memory B cells (Bmem) suggested their roles in antigen presentation. This was further corroborated by the evidence of the T-B co-stimulation pattern and CXCL13-CXCR5 axis. The complexity of myeloid cell heterogeneity was also particularly pronounced. The elevated expression of S100A7 in ESCC, as detected by bulk RNA-seq, was associated with an exhausted and immunosuppressive tumor microenvironment. In summary, this study has unveiled a potential regulatory network among immune cells and the clonal dynamics of their functions, and the mechanisms of exhaustion and memory conversion between GZMK + Tem and TNFRSF13B + Bmem from antigen presentation and co-stimulation perspectives during neoadjuvant PD-1 blockade treatment in ESCC.
Collapse
MESH Headings
- Humans
- Neoadjuvant Therapy/methods
- Esophageal Squamous Cell Carcinoma/immunology
- Esophageal Squamous Cell Carcinoma/genetics
- Esophageal Squamous Cell Carcinoma/therapy
- Esophageal Squamous Cell Carcinoma/drug therapy
- Esophageal Squamous Cell Carcinoma/pathology
- Esophageal Neoplasms/immunology
- Esophageal Neoplasms/genetics
- Esophageal Neoplasms/therapy
- Esophageal Neoplasms/drug therapy
- Esophageal Neoplasms/pathology
- Immunotherapy/methods
- Single-Cell Analysis/methods
- Female
- Male
- Tumor Microenvironment/immunology
- Antineoplastic Combined Chemotherapy Protocols/therapeutic use
- Antineoplastic Combined Chemotherapy Protocols/pharmacology
- Chemokine CXCL13/genetics
- Chemokine CXCL13/metabolism
- Middle Aged
- Aged
- Memory T Cells/immunology
- Memory T Cells/metabolism
- Leukocyte Common Antigens/metabolism
- Leukocyte Common Antigens/genetics
- T-Lymphocytes, Regulatory/immunology
- T-Lymphocytes, Regulatory/drug effects
- Receptors, Antigen, B-Cell/genetics
- Receptors, Antigen, B-Cell/metabolism
- Receptors, Antigen, B-Cell/immunology
- Receptors, CXCR5/metabolism
- Receptors, CXCR5/genetics
Collapse
Affiliation(s)
- Zheyi Wang
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yue Zhao
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yang Wo
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yizhou Peng
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Weilei Hu
- School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, China; State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
| | - Zhigang Wu
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Pengcheng Liu
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yan Shang
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Chunnan Liu
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiao Chen
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Kan Huang
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yuting Chen
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hui Hong
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Fei Li
- Department of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai, China.
| | - Yihua Sun
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| |
Collapse
|
35
|
Bai C, Sun Y, Zhang X, Zuo Z. Assessment of AURKA expression and prognosis prediction in lung adenocarcinoma using machine learning-based pathomics signature. Heliyon 2024; 10:e33107. [PMID: 39022022 PMCID: PMC11253280 DOI: 10.1016/j.heliyon.2024.e33107] [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: 01/21/2024] [Revised: 06/07/2024] [Accepted: 06/14/2024] [Indexed: 07/20/2024] Open
Abstract
Objective This study aimed to develop quantitative feature-based models from histopathological images to assess aurora kinase A (AURKA) expression and predict the prognosis of patients with lung adenocarcinoma (LUAD). Methods A dataset of patients with LUAD was derived from the cancer genome atlas (TCGA) with information on clinical characteristics, RNA sequencing and histopathological images. The TCGA-LUAD cohort was randomly divided into training (n = 229) and testing (n = 98) sets. We extracted quantitative image features from histopathological slides of patients with LUAD using computational approaches, constructed a predictive model for AURKA expression in the training set, and estimated their predictive performance in the test set. A Cox proportional hazards model was used to assess whether the pathomic scores (PS) generated by the model independently predicted LUAD survival. Results High AURKA expression was an independent risk factor for overall survival (OS) in patients with LUAD (hazard ratio = 1.816, 95 % confidence intervals = 1.257-2.623, P = 0.001). The model based on histopathological image features had significant predictive value for AURKA expression: the area under the curve of the receiver operating characteristic curve in the training set and validation set was 0.809 and 0.739, respectively. Decision curve analysis showed that the model had clinical utility. Patients with high PS and low PS had different survival rates (P = 0.019). Multivariate analysis suggested that PS was an independent prognostic factor for LUAD (hazard ratio = 1.615, 95 % confidence intervals = 1.071-2.438, P = 0.022). Conclusion Pathomics models based on machine learning can accurately predict AURKA expression and the PS generated by the model can predict LUAD prognosis.
Collapse
Affiliation(s)
- Cuiqing Bai
- Department of Respiratory Disease, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Yan Sun
- Department of Respiratory Disease, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Xiuqin Zhang
- Department of Respiratory Disease, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Zhitong Zuo
- Department of Respiratory Disease, Affiliated Hospital of Jiangnan University, Wuxi, China
| |
Collapse
|
36
|
Ali M, Kuijs M, Hediyeh-zadeh S, Treis T, Hrovatin K, Palla G, Schaar AC, Theis FJ. GraphCompass: spatial metrics for differential analyses of cell organization across conditions. Bioinformatics 2024; 40:i548-i557. [PMID: 38940138 PMCID: PMC11256915 DOI: 10.1093/bioinformatics/btae242] [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] [Indexed: 06/29/2024] Open
Abstract
SUMMARY Spatial omics technologies are increasingly leveraged to characterize how disease disrupts tissue organization and cellular niches. While multiple methods to analyze spatial variation within a sample have been published, statistical and computational approaches to compare cell spatial organization across samples or conditions are mostly lacking. We present GraphCompass, a comprehensive set of omics-adapted graph analysis methods to quantitatively evaluate and compare the spatial arrangement of cells in samples representing diverse biological conditions. GraphCompass builds upon the Squidpy spatial omics toolbox and encompasses various statistical approaches to perform cross-condition analyses at the level of individual cell types, niches, and samples. Additionally, GraphCompass provides custom visualization functions that enable effective communication of results. We demonstrate how GraphCompass can be used to address key biological questions, such as how cellular organization and tissue architecture differ across various disease states and which spatial patterns correlate with a given pathological condition. GraphCompass can be applied to various popular omics techniques, including, but not limited to, spatial proteomics (e.g. MIBI-TOF), spot-based transcriptomics (e.g. 10× Genomics Visium), and single-cell resolved transcriptomics (e.g. Stereo-seq). In this work, we showcase the capabilities of GraphCompass through its application to three different studies that may also serve as benchmark datasets for further method development. With its easy-to-use implementation, extensive documentation, and comprehensive tutorials, GraphCompass is accessible to biologists with varying levels of computational expertise. By facilitating comparative analyses of cell spatial organization, GraphCompass promises to be a valuable asset in advancing our understanding of tissue function in health and disease. .
Collapse
Affiliation(s)
- Mayar Ali
- Institute of Computational Biology, Helmholtz Munich, Neuherberg, 85764, Germany
- Institute for Tissue Engineering and Regenerative Medicine, Helmholtz Munich, Neuherberg, 85764, Germany
- Graduate School of Systemic Neurosciences, Ludwig Maximilian University of Munich, Planegg-Martinsried, 82152, Germany
| | - Merel Kuijs
- Institute of Computational Biology, Helmholtz Munich, Neuherberg, 85764, Germany
- Department of Mathematics, TUM School of Computation, Information and Technology, Technical University of Munich, Munich, 80333, Germany
| | - Soroor Hediyeh-zadeh
- Institute of Computational Biology, Helmholtz Munich, Neuherberg, 85764, Germany
- TUM School of Life Sciences, Technical University of Munich, Freising, 85354, Germany
| | - Tim Treis
- Institute of Computational Biology, Helmholtz Munich, Neuherberg, 85764, Germany
- TUM School of Life Sciences, Technical University of Munich, Freising, 85354, Germany
| | - Karin Hrovatin
- Institute of Computational Biology, Helmholtz Munich, Neuherberg, 85764, Germany
- TUM School of Life Sciences, Technical University of Munich, Freising, 85354, Germany
| | - Giovanni Palla
- Institute of Computational Biology, Helmholtz Munich, Neuherberg, 85764, Germany
- TUM School of Life Sciences, Technical University of Munich, Freising, 85354, Germany
| | - Anna C Schaar
- Institute of Computational Biology, Helmholtz Munich, Neuherberg, 85764, Germany
- Department of Mathematics, TUM School of Computation, Information and Technology, Technical University of Munich, Munich, 80333, Germany
- Munich Center for Machine Learning, Technical University of Munich, Munich, 80333, Germany
| | - Fabian J Theis
- Institute of Computational Biology, Helmholtz Munich, Neuherberg, 85764, Germany
- Department of Mathematics, TUM School of Computation, Information and Technology, Technical University of Munich, Munich, 80333, Germany
- TUM School of Life Sciences, Technical University of Munich, Freising, 85354, Germany
| |
Collapse
|
37
|
Almeida PP, Moraes JA, Barja-Fidalgo TC, Renovato-Martins M. Extracellular vesicles as modulators of monocyte and macrophage function in tumors. AN ACAD BRAS CIENC 2024; 96:e20231212. [PMID: 38922279 DOI: 10.1590/0001-3765202420231212] [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: 11/07/2023] [Accepted: 02/17/2024] [Indexed: 06/27/2024] Open
Abstract
The tumor microenvironment (TME) harbors several cell types, such as tumor cells, immune cells, and non-immune cells. These cells communicate through several mechanisms, such as cell-cell contact, cytokines, chemokines, and extracellular vesicles (EVs). Tumor-derived vesicles are known to have the ability to modulate the immune response. Monocytes are a subset of circulating innate immune cells and play a crucial role in immune surveillance, being recruited to tissues where they differentiate into macrophages. In the context of tumors, it has been observed that tumor cells can attract monocytes to the TME and induce their differentiation into tumor-associated macrophages with a pro-tumor phenotype. Tumor-derived EVs have emerged as essential structures mediating this process. Through the transfer of specific molecules and signaling factors, tumor-derived EVs can shape the phenotype and function of monocytes, inducing the expression of cytokines and molecules by these cells, thus modulating the TME towards an immunosuppressive environment.
Collapse
Affiliation(s)
- Palloma P Almeida
- Universidade Federal Fluminense, Departamento de Biologia Celular e Molecular, Instituto de Biologia, Laboratório de Inflamação e Metabolismo, Rua Professor Marcos Waldemar de Freitas Reis, s/n, 24020-140 Niterói, RJ, Brazil
- Universidade Federal do Rio de Janeiro, Instituto de Ciências Biomédicas, Laboratório de Biologia Redox, Av. Carlos Chagas Filho, 373, Prédio do ICB - Anexo B1F3, Ilha do Fundão, 21941-902 Rio de Janeiro, RJ, Brazil
- Universidade do Estado do Rio de Janeiro, Departamento de Biologia Celular, Instituto de Biologia Roberto Alcantara Gomes - IBRAG, Laboratório de Farmacologia Celular e Molecular, Av. 28 de setembro, 87, 20551-030 Rio de Janeiro, RJ, Brazil
| | - João Alfredo Moraes
- Universidade Federal do Rio de Janeiro, Instituto de Ciências Biomédicas, Laboratório de Biologia Redox, Av. Carlos Chagas Filho, 373, Prédio do ICB - Anexo B1F3, Ilha do Fundão, 21941-902 Rio de Janeiro, RJ, Brazil
| | - Thereza Christina Barja-Fidalgo
- Universidade do Estado do Rio de Janeiro, Departamento de Biologia Celular, Instituto de Biologia Roberto Alcantara Gomes - IBRAG, Laboratório de Farmacologia Celular e Molecular, Av. 28 de setembro, 87, 20551-030 Rio de Janeiro, RJ, Brazil
| | - Mariana Renovato-Martins
- Universidade Federal Fluminense, Departamento de Biologia Celular e Molecular, Instituto de Biologia, Laboratório de Inflamação e Metabolismo, Rua Professor Marcos Waldemar de Freitas Reis, s/n, 24020-140 Niterói, RJ, Brazil
| |
Collapse
|
38
|
Song Y, Liu J, Jin C, Zheng Y, Zhao Y, Zhang K, Zhou M, Zhao D, Hou L, Dong F. Value of Contrast-Enhanced Ultrasound Combined with Immune-Inflammatory Markers in Predicting Axillary Lymph Node Metastasis of Breast Cancer. Acad Radiol 2024:S1076-6332(24)00371-4. [PMID: 38918153 DOI: 10.1016/j.acra.2024.06.013] [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: 04/16/2024] [Revised: 05/16/2024] [Accepted: 06/06/2024] [Indexed: 06/27/2024]
Abstract
RATIONALE AND OBJECTIVES To evaluate the diagnostic performance of contrast-enhanced ultrasound (CEUS) combined with immune-inflammatory markers in predicting axillary lymph node metastasis (ALNM) in breast cancer patients. METHODS From January 2020 to June 2023, the clinicopathological data and ultrasound features of 401 breast cancer patients who underwent biopsy or surgery were recorded. Patients were randomly divided into a training set (321 patients) and a validation set (80 patients). The risk factors for ALNM were determined using univariate, least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression analysis, and prediction models were constructed. Receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) were used to assess their diagnostic performance. RESULTS Logistic regression analysis demonstrated that systemic immunoinflammatory index (SII), CA125, Ki67, pathological type, lesion size, enhancement pattern and Breast Imaging Reporting and Data System (BI-RADS) category were significant risk factors for ALNM. Three different models were constructed, and the combined model yielded an AUC of 0.903, which was superior to the clinical model (AUC=0.790) and ultrasound model (AUC=0.781). A nomogram was constructed based on the combined model, calibration curves and DCA demonstrated its satisfactory performance in predicting ALNM. CONCLUSION The nomogram combining ultrasound features and immune-inflammatory markers could serve as a valuable instrument for predicting ALNM in breast cancer patients. DATA AVAILABILITY STATEMENT The original contributions presented in the study are included in the article. Further inquiries can be directed to the corresponding authors.
Collapse
Affiliation(s)
- Ying Song
- Department of Ultrasound, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, China
| | - Jinjin Liu
- Department of Ultrasound, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, China
| | - Chenyang Jin
- Department of Ultrasound, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, China
| | - Yan Zheng
- Department of Ultrasound, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, China
| | - Yingying Zhao
- Department of Ultrasound, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, China
| | - Kairen Zhang
- Department of Ultrasound, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, China
| | - Mengqi Zhou
- Department of Ultrasound, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, China
| | - Dan Zhao
- Department of Ultrasound, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, China
| | - Lizhu Hou
- Department of Ultrasound, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, China
| | - Fenglin Dong
- Department of Ultrasound, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou, China.
| |
Collapse
|
39
|
de Moraes FCA, Kelly FA, Souza MEC, Burbano RMR. Impact of adjuvant chemotherapy on survival after pathological complete response in rectal cancer: a meta-analysis of 31,558 patients. Int J Colorectal Dis 2024; 39:96. [PMID: 38913175 PMCID: PMC11196358 DOI: 10.1007/s00384-024-04668-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/12/2024] [Indexed: 06/25/2024]
Abstract
BACKGROUND Locally advanced rectal cancer (LARC) typically involves neoadjuvant chemoradiotherapy (nCRT) followed by surgery (total mesorectal excision, TME). While achieving a complete pathological response (pCR) is a strong indicator of a positive prognosis, the specific benefits of adjuvant chemotherapy after pCR remain unclear. To address this knowledge gap, we conducted a systematic review and meta-analysis to assess the potential advantages of adjuvant therapy in patients who achieve pCR. METHODS In this study, we searched Medline, Embase, and Web of Science databases for relevant research. We focused on binary outcomes, analyzing them using odds ratios (ORs) with 95% confidence intervals (CIs). To account for potential variability between studies, all endpoints were analyzed with DerSimonian and Laird random-effects models. We assessed heterogeneity using the I2 statistic and employed the R statistical software (version 4.2.3) for all analyses. RESULTS Thirty-four studies, comprising 31,558 patients, were included. The outcomes demonstrated a significant difference favoring the AC group in terms of overall survival (OS) (HR 0.75; 95% CI 0.60-0.94; p = 0.015; I2 = 0%), and OS in 5 years (OR 1.65; 95% CI 1.21-2.24; p = 0.001; I2 = 39%). There was no significant difference between the groups for disease-free survival (DFS) (HR 0.94; 95% CI 0.76-1.17; p = 0.61; I2 = 17%), DFS in 5 years (OR 1.19; 95% CI 0.82-1.74; p = 0.36; I2 = 43%), recurrence-free survival (RFS) (HR 1.10; 95% CI 0.87-1.40; p = 0.39; I2 = 0%), and relapse-free survival (OR 1.08; 95% CI 0.78-1.51; p = 0.62; I2 = 0%). CONCLUSION This systematic review and meta-analysis found a significant difference in favor of the ACT group in terms of survival after pCR. Therefore, the administration of this treatment as adjuvant therapy should be encouraged in clinical practice.
Collapse
Affiliation(s)
| | - Francinny Alves Kelly
- Department of Hypertension, Dante Pazzanese Institute of Cardiology, Sao Paulo, Brazil
| | | | - Rommel Mario Rodríguez Burbano
- Federal University of Pará, Rua Augusto Corrêa, nº 01, Guamá, Belém, Pará, 66073-000, Brazil
- Ophir Loyola Hospital, Belém, Pará, Brazil
| |
Collapse
|
40
|
Wang YQ, Chen WJ, Zhou W, Dong KQ, Zuo L, Xu D, Chen JX, Chen WJ, Li WY, Liu ZC, Jiang ZY, Tang YF, Qin YX, Wang LH, Pan XW, Cui XG. Integrated analysis of tertiary lymphoid structures and immune infiltration in ccRCC microenvironment revealed their clinical significances: a multicenter cohort study. J Immunother Cancer 2024; 12:e008613. [PMID: 38908856 DOI: 10.1136/jitc-2023-008613] [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: 06/02/2024] [Indexed: 06/24/2024] Open
Abstract
BACKGROUND Tertiary lymphoid structures (TLSs) serve as organized lymphoid aggregates that influence immune responses within the tumor microenvironment. This study aims to investigate the characteristics and clinical significance of TLSs and tumor-infiltrating lymphocytes (TILs) in clear cell renal cell carcinoma (ccRCC). METHODS TLSs and TILs were analyzed comprehensively in 754 ccRCC patients from 6 academic centers and 532 patients from The Cancer Genome Atlas. Integrated analysis was performed based on single-cell RNA-sequencing datasets from 21 ccRCC patients to investigate TLS heterogeneity in ccRCC. Immunohistochemistry and multiplex immunofluorescence were applied. Cox regression and Kaplan-Meier analyses were used to reveal the prognostic significance. RESULTS The study demonstrated the existence of TLSs and TILs heterogeneities in the ccRCC microenvironment. TLSs were identified in 16% of the tumor tissues in 113 patients. High density (>0.6/mm2) and maturation of TLSs predicted good overall survival (OS) (p<0.01) in ccRCC patients. However, high infiltration (>151) of scattered TILs was an independent risk factor of poor ccRCC prognosis (HR=14.818, p<0.001). The presence of TLSs was correlated with improved progression-free survival (p=0.002) and responsiveness to therapy (p<0.001). Interestingly, the combination of age and TLSs abundance had an impact on OS (p<0.001). Higher senescence scores were detected in individuals with immature TLSs (p=0.003). CONCLUSIONS The study revealed the contradictory features of intratumoral TLSs and TILs in the ccRCC microenvironment and their impact on clinical prognosis, suggesting that abundant and mature intratumoral TLSs were associated with decreased risks of postoperative ccRCC relapse and death as well as favorable therapeutic response. Distinct spatial distributions of immune infiltration could reflect effective antitumor or protumor immunity in ccRCC.
Collapse
Affiliation(s)
- Yu-Qi Wang
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Wen-Jin Chen
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
- Department of Urology, The Third Affiliated Hospital of the Second Military Medical University, Shanghai, China
| | - Wang Zhou
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ke-Qin Dong
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
- Department of Urology, PLA Central Military Command General Hospital, Wuhan, Hubei, China
| | - Li Zuo
- Department of Urology, Changzhou No 2 People's Hospital, Changzhou, Jiangsu, China
| | - Da Xu
- Department of Urology, The Third Affiliated Hospital of the Second Military Medical University, Shanghai, China
| | - Jia-Xin Chen
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
- Department of Urology, The Third Affiliated Hospital of the Second Military Medical University, Shanghai, China
| | - Wei-Jie Chen
- Department of Urology, The Third Affiliated Hospital of the Second Military Medical University, Shanghai, China
| | - Wen-Yan Li
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zi-Chang Liu
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zheng-Yu Jiang
- Department of Urology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Yi-Fan Tang
- Department of Urology, Wuxi No 2 People's Hospital, Wuxi, Jiangsu, China
| | - Yu-Xuan Qin
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Lin-Hui Wang
- Department of Urology, The First Affiliated Hospital of the Second Military Medical University, Shanghai, China
| | - Xiu-Wu Pan
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xin-Gang Cui
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| |
Collapse
|
41
|
Lin X, Yang P, Wang M, Huang X, Wang B, Chen C, Xu A, Cai J, Khan M, Liu S, Lin J. Dissecting gastric cancer heterogeneity and exploring therapeutic strategies using bulk and single-cell transcriptomic analysis and experimental validation of tumor microenvironment and metabolic interplay. Front Pharmacol 2024; 15:1355269. [PMID: 38962317 PMCID: PMC11220201 DOI: 10.3389/fphar.2024.1355269] [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: 12/13/2023] [Accepted: 04/15/2024] [Indexed: 07/05/2024] Open
Abstract
Gastric cancer, the fifth most prevalent cancer worldwide, is often diagnosed in advanced stages with limited treatment options. Examining the tumor microenvironment (TME) and its metabolic reprogramming can provide insights for better diagnosis and treatment. This study investigates the link between TME factors and metabolic activity in gastric cancer using bulk and single-cell RNA-sequencing data. We identified two molecular subtypes in gastric cancer by analyzing the distinct expression patterns of 81 prognostic genes related to the TME and metabolism, which exhibited significant protein-level interactions. The high-risk subtype had increased stromal content, fibroblast and M2 macrophage infiltration, elevated glycosaminoglycans/glycosphingolipids biosynthesis, and fat metabolism, along with advanced clinicopathological features. It also exhibited low mutation rates and microsatellite instability, associating it with the mesenchymal phenotype. In contrast, the low-risk group showed higher tumor content and upregulated protein and sugar metabolism. We identified a 15-gene prognostic signature representing these characteristics, including CPVL, KYNU, CD36, and GPX3, strongly correlated with M2 macrophages, validated through single-cell analysis and an internal cohort. Despite resistance to immunotherapy, the high-risk group showed sensitivity to molecular targeted agents directed at IGF-1R (BMS-754807) and the PI3K-mTOR pathways (AZD8186, AZD8055). We experimentally validated these promising drugs for their inhibitory effects on MKN45 and MKN28 gastric cells. This study unveils the intricate interplay between TME and metabolic pathways in gastric cancer, offering potential for enhanced diagnosis, patient stratification, and personalized treatment. Understanding molecular features in each subtype enriches our comprehension of gastric cancer heterogeneity and potential therapeutic targets.
Collapse
Affiliation(s)
- XianTao Lin
- Department of Radiation Oncology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China
| | - Ping Yang
- Department of Radiation Oncology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China
| | - MingKun Wang
- Department of Radiation Oncology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China
| | - Xiuting Huang
- Department of Radiotherapy, The First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Baiyao Wang
- Department of Radiotherapy, The First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Chengcong Chen
- Department of Radiotherapy, The First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Anan Xu
- Department of Radiotherapy, The First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Jiazuo Cai
- Department of Radiotherapy, The First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Muhammad Khan
- Department of Radiotherapy, The First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Sha Liu
- Department of Radiation Oncology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China
| | - Jie Lin
- Department of Radiotherapy, The First Affiliated Hospital of Hainan Medical University, Haikou, China
| |
Collapse
|
42
|
Wang L, Liu H, Feng Y, Liu X, Wang Y, Liu Y, Li H, Zhang Y. Decoding the immune landscape: a comprehensive analysis of immune-associated biomarkers in cervical carcinoma and their implications for immunotherapy strategies. Front Genet 2024; 15:1340569. [PMID: 38933923 PMCID: PMC11199791 DOI: 10.3389/fgene.2024.1340569] [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: 11/23/2023] [Accepted: 05/21/2024] [Indexed: 06/28/2024] Open
Abstract
Background and aims Cervical cancer, a prevalent gynecological malignant tumor, poses a significant threat to women's health and lives. Immune checkpoint inhibitor (ICI) therapy has emerged as a promising avenue for treating cervical cancer. For patients with persistent or recurrent metastatic cervical cancer, If the sequence of dead receptor ligand-1 (PD-L1) is positive, ICI show significant clinical efficacy. PD-L1 expression serves as a valuable biomarker for assessing ICI therapeutic efficacy. However, the complex tumor immune microenvironment (TIME), encompassing immune cell composition and tumor-infiltrating lymphocyte (TIL) status, also exerts a profound influence on tumor immunity and prognosis. Given the remarkable strides made by ICI treatments in improving the survival rates of cervical cancer patients, it becomes essential to identify a comprehensive biomarker that integrates various TIME aspects to enhance the effectiveness of ICI treatment. Therefore, the quest for biomarkers linked to multiple facets of TIME in cervical cancer is a vital pursuit. Methods In this study, we have developed an Immune-Associated Gene Prognostic Index (IRGPI) with remarkable prognostic value specifically for cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC). The Cancer Genome Atlas CESC dataset (n = 305) was meticulously analyzed to pinpoint key immune-related genes via weighted gene co-expression network analysis and differential gene expression assays. Subsequently, we employed Cox regression analysis to construct the IRGPI. Furthermore, the composition of immune cells and TIL status were examined using CIBERSORT and TIDE. Tumor expression of Epigen, LCN10, and P73 were determined with immunohistochemistry. Results The resulting IRGPI, composed of EPGN, LCN10, and TP73 genes, displayed a strong negative correlation with patient survival. The discovery was validated with a patient cohort from our hospital. The IRGPI not only predicts the composition of immune cell subtypes such as Macrophages M1, NK cells, Mast cells, Plasma cells, Neutrophils, Dendritic cells, T cells CD8, and T cells CD4 within CESC, but also indicates TIL exclusion, dysfunction, and PD-1 and PD-L1 expression. Therefore, the IRGPI emerges as a promising biomarker not only for prognostic assessment but also for characterizing multiple immune features in CESC. Additionally, our results underscored the significant associations between the IRGPI and immune cell composition, TIL exclusion, and dysfunction, along with PD-1 and PD-L1 expression in the TIME. Conclusion Consequently, the IRGPI stands out as a biomarker intimately connected to both the survival and TIME status of CESC patients, offering potential insights into immunotherapy strategies for CESC.
Collapse
Affiliation(s)
- Le Wang
- Department of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, China
| | - Huatian Liu
- Department of Anesthesiology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yue Feng
- Department of Gynecological Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China
| | - Xueting Liu
- Department of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, China
| | - Yuan Wang
- Department of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, China
| | - Yujie Liu
- Department of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, China
| | - Hao Li
- Harbin Medical University Cancer Hospital, Harbin, China
| | - Yunyan Zhang
- Department of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, China
| |
Collapse
|
43
|
van Elsas MJ, Middelburg J, Labrie C, Roelands J, Schaap G, Sluijter M, Tonea R, Ovcinnikovs V, Lloyd K, Schuurman J, Riesenfeld SJ, Gajewski TF, de Miranda NFCC, van Hall T, van der Burg SH. Immunotherapy-activated T cells recruit and skew late-stage activated M1-like macrophages that are critical for therapeutic efficacy. Cancer Cell 2024; 42:1032-1050.e10. [PMID: 38759656 DOI: 10.1016/j.ccell.2024.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 02/23/2024] [Accepted: 04/24/2024] [Indexed: 05/19/2024]
Abstract
Total tumor clearance through immunotherapy is associated with a fully coordinated innate and adaptive immune response, but knowledge on the exact contribution of each immune cell subset is limited. We show that therapy-induced intratumoral CD8+ T cells recruited and skewed late-stage activated M1-like macrophages, which were critical for effective tumor control in two different murine models of cancer immunotherapy. The activated CD8+ T cells summon these macrophages into the tumor and their close vicinity via CCR5 signaling. Exposure of non-polarized macrophages to activated T cell supernatant and tumor lysate recapitulates the late-stage activated and tumoricidal phenotype in vitro. The transcriptomic signature of these macrophages is also detected in a similar macrophage population present in human tumors and coincides with clinical response to immune checkpoint inhibitors. The requirement of a functional co-operation between CD8+ T cells and effector macrophages for effective immunotherapy gives warning to combinations with broad macrophage-targeting strategies.
Collapse
Affiliation(s)
- Marit J van Elsas
- Department of Medical Oncology, Oncode Institute, Leiden University Medical Center, Leiden 2333ZA, the Netherlands
| | - Jim Middelburg
- Department of Medical Oncology, Oncode Institute, Leiden University Medical Center, Leiden 2333ZA, the Netherlands
| | - Camilla Labrie
- Department of Medical Oncology, Oncode Institute, Leiden University Medical Center, Leiden 2333ZA, the Netherlands
| | - Jessica Roelands
- Department of Pathology, Leiden University Medical Center, Leiden 2333ZA, the Netherlands
| | - Gaby Schaap
- Department of Medical Oncology, Oncode Institute, Leiden University Medical Center, Leiden 2333ZA, the Netherlands
| | - Marjolein Sluijter
- Department of Medical Oncology, Oncode Institute, Leiden University Medical Center, Leiden 2333ZA, the Netherlands
| | - Ruxandra Tonea
- Department of Pathology, University of Chicago, Chicago, IL 60637, USA; Pritzker School of Molecular Engineering, Chicago, IL 60637, USA
| | | | | | | | | | - Thomas F Gajewski
- Department of Pathology, University of Chicago, Chicago, IL 60637, USA
| | - Noel F C C de Miranda
- Department of Pathology, Leiden University Medical Center, Leiden 2333ZA, the Netherlands
| | - Thorbald van Hall
- Department of Medical Oncology, Oncode Institute, Leiden University Medical Center, Leiden 2333ZA, the Netherlands
| | - Sjoerd H van der Burg
- Department of Medical Oncology, Oncode Institute, Leiden University Medical Center, Leiden 2333ZA, the Netherlands.
| |
Collapse
|
44
|
Hu H, Xu Y, Zhang Q, Ai X, Wang T, Li H, Jin C, Ouyang C, Wu Z. Exploring prognostic and immunological characteristics of pancreatic ductal adenocarcinoma through comprehensive genomic analysis of tertiary lymphoid structures and CD8 + T-cells. J Cancer Res Clin Oncol 2024; 150:300. [PMID: 38850373 PMCID: PMC11162401 DOI: 10.1007/s00432-024-05824-0] [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: 04/07/2024] [Accepted: 05/29/2024] [Indexed: 06/10/2024]
Abstract
PURPOSE Tertiary lymphoid structures (TLSs) and CD8 + T-cells are potential prognostic indicators for pancreatic ductal adenocarcinoma (PDAC). We established a novel scoring system for evaluating the risk for PDAC based on TLS- and CD8 + T-cell-related genes. METHODS We analyzed single-cell sequence data from PDAC patients in the Genome Sequence Archive. Bioinformatics and machine algorithms established and validated a scoring method (T-C score) based on PDAC survival-related genes highly expressed in TLSs and CD8 + T-cells. Patients were stratified into the low- and high-T-C score groups. Differences in survival, pathway enrichment, mutation status, immune cell infiltration, expression of immune checkpoint-associated genes, tumor stemness, and response to antitumor therapy were compared through computer simulation methods. RESULTS Overall survival differed significantly between the training and validation cohorts' low- and high-T-C score groups. The low-T-C score group correlated with lower tumor mutation burden and lower levels of tumor stemness compared with the high-T-C score group. Patients with lower T-C scores exhibited advantages in immunotherapeutic responses and might be more sensitive to the chemotherapeutic regimen and multi-kinase inhibitors. CONCLUSION The T-C score could serve as an effective model for predicting the survival and therapeutic responses of patients with PDAC.
Collapse
Affiliation(s)
- Hao Hu
- Department of Hepatobiliary Surgery, Aerospace Center Hospital, No. 15, Yuquan Road, Haidian District, Beijing, 100049, China
| | - Yang Xu
- Department of Hepatobiliary Surgery, Aerospace Center Hospital, No. 15, Yuquan Road, Haidian District, Beijing, 100049, China
| | - Qiang Zhang
- Department of Hepatobiliary Surgery, Aerospace Center Hospital, No. 15, Yuquan Road, Haidian District, Beijing, 100049, China
| | - Xiangnan Ai
- Department of Hepatobiliary Surgery, Aerospace Center Hospital, No. 15, Yuquan Road, Haidian District, Beijing, 100049, China
| | - Tengfei Wang
- Department of Hepatobiliary Surgery, Aerospace Center Hospital, No. 15, Yuquan Road, Haidian District, Beijing, 100049, China
| | - Huixing Li
- Department of Hepatobiliary Surgery, Aerospace Center Hospital, No. 15, Yuquan Road, Haidian District, Beijing, 100049, China
| | - Changguo Jin
- Department of Hepatobiliary Surgery, Aerospace Center Hospital, No. 15, Yuquan Road, Haidian District, Beijing, 100049, China
| | - Caiguo Ouyang
- Department of Hepatobiliary Surgery, Aerospace Center Hospital, No. 15, Yuquan Road, Haidian District, Beijing, 100049, China
| | - Zhenyu Wu
- Department of Hepatobiliary Surgery, Aerospace Center Hospital, No. 15, Yuquan Road, Haidian District, Beijing, 100049, China.
| |
Collapse
|
45
|
Ruocco MR, Gisonna A, Acampora V, D’Agostino A, Carrese B, Santoro J, Venuta A, Nasso R, Rocco N, Russo D, Cavaliere A, Altobelli GG, Masone S, Avagliano A, Arcucci A, Fiume G. Guardians and Mediators of Metastasis: Exploring T Lymphocytes, Myeloid-Derived Suppressor Cells, and Tumor-Associated Macrophages in the Breast Cancer Microenvironment. Int J Mol Sci 2024; 25:6224. [PMID: 38892411 PMCID: PMC11172575 DOI: 10.3390/ijms25116224] [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: 02/20/2024] [Revised: 05/30/2024] [Accepted: 06/01/2024] [Indexed: 06/21/2024] Open
Abstract
Breast cancers (BCs) are solid tumors composed of heterogeneous tissues consisting of cancer cells and an ever-changing tumor microenvironment (TME). The TME includes, among other non-cancer cell types, immune cells influencing the immune context of cancer tissues. In particular, the cross talk of immune cells and their interactions with cancer cells dramatically influence BC dissemination, immunoediting, and the outcomes of cancer therapies. Tumor-infiltrating lymphocytes (TILs), tumor-associated macrophages (TAMs), and myeloid-derived suppressor cells (MDSCs) represent prominent immune cell populations of breast TMEs, and they have important roles in cancer immunoescape and dissemination. Therefore, in this article we review the features of TILs, TAMs, and MDSCs in BCs. Moreover, we highlight the mechanisms by which these immune cells remodel the immune TME and lead to breast cancer metastasis.
Collapse
Affiliation(s)
- Maria Rosaria Ruocco
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy; (M.R.R.); (A.G.)
| | - Armando Gisonna
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy; (M.R.R.); (A.G.)
| | - Vittoria Acampora
- Department of Public Health, University of Naples Federico II, 80131 Naples, Italy; (V.A.); (A.V.); (A.A.)
| | - Anna D’Agostino
- IRCCS SYNLAB SDN, Via Emanuele Gianturco 113, 80143 Naples, Italy; (A.D.); (B.C.); (J.S.)
| | - Barbara Carrese
- IRCCS SYNLAB SDN, Via Emanuele Gianturco 113, 80143 Naples, Italy; (A.D.); (B.C.); (J.S.)
| | - Jessie Santoro
- IRCCS SYNLAB SDN, Via Emanuele Gianturco 113, 80143 Naples, Italy; (A.D.); (B.C.); (J.S.)
| | - Alessandro Venuta
- Department of Public Health, University of Naples Federico II, 80131 Naples, Italy; (V.A.); (A.V.); (A.A.)
| | - Rosarita Nasso
- Department of Movement Sciences and Wellness, University of Naples “Parthenope”, 80133 Naples, Italy;
| | - Nicola Rocco
- Department of Advanced Biomedical Science, University of Naples Federico II, 80131 Naples, Italy; (N.R.); (D.R.); (G.G.A.)
| | - Daniela Russo
- Department of Advanced Biomedical Science, University of Naples Federico II, 80131 Naples, Italy; (N.R.); (D.R.); (G.G.A.)
| | | | - Giovanna Giuseppina Altobelli
- Department of Advanced Biomedical Science, University of Naples Federico II, 80131 Naples, Italy; (N.R.); (D.R.); (G.G.A.)
| | - Stefania Masone
- Department of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy;
| | - Angelica Avagliano
- Department of Public Health, University of Naples Federico II, 80131 Naples, Italy; (V.A.); (A.V.); (A.A.)
| | - Alessandro Arcucci
- Department of Public Health, University of Naples Federico II, 80131 Naples, Italy; (V.A.); (A.V.); (A.A.)
| | - Giuseppe Fiume
- Department of Experimental and Clinical Medicine, University of Catanzaro “Magna Graecia”, 88100 Catanzaro, Italy;
| |
Collapse
|
46
|
Zhang Y, Liu S, Guo F, Qin S, Zhou N, Liu Z, Fan X, Chen PR. Bioorthogonal Quinone Methide Decaging Enables Live-Cell Quantification of Tumor-Specific Immune Interactions. J Am Chem Soc 2024; 146:15186-15197. [PMID: 38789930 DOI: 10.1021/jacs.4c02052] [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: 05/26/2024]
Abstract
Effective antitumor immunity hinges on the specific engagement between tumor and cytotoxic immune cells, especially cytotoxic T cells. Although investigating these intercellular interactions is crucial for characterizing immune responses and guiding immunotherapeutic applications, direct and quantitative detection of tumor-T cell interactions within a live-cell context remains challenging. We herein report a photocatalytic live-cell interaction labeling strategy (CAT-Cell) relying on the bioorthogonal decaging of quinone methide moieties for sensitive and selective investigation and quantification of tumor-T cell interactions. By developing quinone methide-derived probes optimized for capturing cell-cell interactions (CCIs), we demonstrated the capacity of CAT-Cell for detecting CCIs directed by various types of receptor-ligand pairs (e.g., CD40-CD40L, TCR-pMHC) and further quantified the strengths of tumor-T cell interactions that are crucial for evaluating the antitumor immune responses. We further applied CAT-Cell for ex vivo quantification of tumor-specific T cell interactions on splenocyte and solid tumor samples from mouse models. Finally, the broad compatibility and utility of CAT-Cell were demonstrated by integrating it with the antigen-specific targeting system as well as for tumor-natural killer cell interaction detection. By leveraging the bioorthogonal photocatalytic decaging chemistry on quinone methide, CAT-Cell provides a sensitive, tunable, universal, and noninvasive toolbox for unraveling and quantifying the crucial but delicate tumor-immune interactions under live-cell settings.
Collapse
Affiliation(s)
- Yan Zhang
- New Cornerstone Science Laboratory, Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Shibo Liu
- New Cornerstone Science Laboratory, Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Fuhu Guo
- New Cornerstone Science Laboratory, Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Shan Qin
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| | - Nan Zhou
- New Cornerstone Science Laboratory, Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Ziqi Liu
- New Cornerstone Science Laboratory, Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Xinyuan Fan
- New Cornerstone Science Laboratory, Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Peng R Chen
- New Cornerstone Science Laboratory, Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
| |
Collapse
|
47
|
Hu L, Li X, Yang C, Zhou B, Du C, Jiang N. Prognostic value of tertiary lymphoid structures in hepatocellular carcinoma: a meta-analysis and systematic review. Front Immunol 2024; 15:1390938. [PMID: 38887293 PMCID: PMC11180782 DOI: 10.3389/fimmu.2024.1390938] [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: 02/24/2024] [Accepted: 05/21/2024] [Indexed: 06/20/2024] Open
Abstract
Background Multiple investigations and scholarly articles have presented compelling evidence indicating that tertiary lymphoid structures (TLS) play a pivotal role in inhibiting and controlling the advancement of tumors. While there is an abundance of information highlighting the importance of TLS in different cancer types, their prognostic significance specifically in hepatocellular carcinoma (HCC) cancers remains unclear. Thus, this meta-analysis aimed to explore the prognostic relevance of TLS in HCC. Methods We conducted a thorough search across four databases, namely Web of Science, PubMed, Embase, and the Cochrane Library, to identify pertinent studies. The search utilized the keywords "tertiary lymphoid structures" and "hepatocellular carcinoma." The primary outcomes of interest encompassed overall survival (OS), recurrence-free survival (RFS), early recurrence, and late recurrence. The statistical effect size for these measures was expressed in terms of hazard ratios (HR). Results Six studies were incorporated into the analysis. Among them, four studies, encompassing 6 datasets and involving 1490 patients, and three studies, comprising 5 datasets and involving 656 patients, respectively, investigated the correlation between intratumoral and peritumoral TLSs and the prognosis in HCC patients. The meta-analysis revealed that the presence of intratumoral TLSs is linked to longer RFS and reduced early recurrence (HR, 0.60; 95% CI, 0.50-0.67; p <0.001 and HR, 0.49; 95% CI, 0.36-0.65; p <0.001, respectively). However, no significant association was observed with OS and late recurrence. Sensitivity analysis demonstrated the robustness of these findings, and heterogeneities were minimal. Additionally, the meta-analysis did not detect a relationship between peritumoral TLSs and OS or RFS in HCC patients. Conclusion The presence of intratumoral TLSs is correlated with better RFS and reduced early recurrence in HCC patients. Further investigation is warranted to elucidate the roles of peritumoral TLSs in the prognosis of HCC patients. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/#recordDetails, identifier CRD42023466793.
Collapse
Affiliation(s)
- Lingbo Hu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Hepatopancreatobiliary Surgery, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China
- Department of Hepatopancreatobiliary Surgery, Enze Hospital, Taizhou Enze Medical Center (Group), Taizhou, Zhejiang, China
| | - Xuemei Li
- Department of Pathology, Chongqing Medical University, Chongqing, China
- Molecular Medicine Diagnostic and Testing Center, Chongqing Medical University, Chongqing, China
- Department of Pathology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Changhong Yang
- Department of Bioinformatics, Chongqing Medical University, Chongqing, China
| | - Baoyong Zhou
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Chengyou Du
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ning Jiang
- Department of Pathology, Chongqing Medical University, Chongqing, China
- Molecular Medicine Diagnostic and Testing Center, Chongqing Medical University, Chongqing, China
- Department of Pathology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| |
Collapse
|
48
|
Li Y, Sun L, Zhou Q, Lee AJ, Wang L, Zhang R, Wang S. Effects of opioid drugs on immune function in cancer patients. Biomed Pharmacother 2024; 175:116665. [PMID: 38701564 DOI: 10.1016/j.biopha.2024.116665] [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: 09/20/2023] [Revised: 04/19/2024] [Accepted: 04/24/2024] [Indexed: 05/05/2024] Open
Abstract
Opioid receptor agonists are often used when cancer patients undergo surgery or analgesic treatment. As analgesics in clinical care, opioids can provide intraoperative or to chronic cancer pain relief. Immune function plays an important role in anti-cancer therapy, with cellular immunity, comprised principally of T-lymphocytes and natural killer cells, representing the primary anti-cancer immune response. However, it remains unclear whether immune function is further affected with the use of opioids in already immunocompromised cancer patients. This article provides a review of the effects of commonly used clinical opioids, including morphine, oxycodone, fentanyl and tramadol, on immune function in cancer patients. It provides a summary of current evidence regarding the immunomodulatory effects of opioids in the cancer setting and mechanisms underlying these interactions.
Collapse
Affiliation(s)
- Yunqi Li
- School of Anesthesiology, Weifang Medical University, Weifang 261053, China
| | - Lina Sun
- School of Anesthesiology, Weifang Medical University, Weifang 261053, China.
| | - Qinglian Zhou
- School of Anesthesiology, Weifang Medical University, Weifang 261053, China
| | - An Jie Lee
- Biological Sciences, University of California San Diego, La Jolla, CA 92093, United States
| | - Lingyan Wang
- School of Anesthesiology, Weifang Medical University, Weifang 261053, China
| | - Rui Zhang
- School of Anesthesiology, Weifang Medical University, Weifang 261053, China.
| | - Shoushi Wang
- Affiliated Qingdao Central Hospital of Qingdao University, Qingdao Cancer Hospital, Qingdao 266042, China.
| |
Collapse
|
49
|
Kinget L, Naulaerts S, Govaerts J, Vanmeerbeek I, Sprooten J, Laureano RS, Dubroja N, Shankar G, Bosisio FM, Roussel E, Verbiest A, Finotello F, Ausserhofer M, Lambrechts D, Boeckx B, Wozniak A, Boon L, Kerkhofs J, Zucman-Rossi J, Albersen M, Baldewijns M, Beuselinck B, Garg AD. A spatial architecture-embedding HLA signature to predict clinical response to immunotherapy in renal cell carcinoma. Nat Med 2024; 30:1667-1679. [PMID: 38773341 DOI: 10.1038/s41591-024-02978-9] [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: 09/01/2023] [Accepted: 04/05/2024] [Indexed: 05/23/2024]
Abstract
An important challenge in the real-world management of patients with advanced clear-cell renal cell carcinoma (aRCC) is determining who might benefit from immune checkpoint blockade (ICB). Here we performed a comprehensive multiomics mapping of aRCC in the context of ICB treatment, involving discovery analyses in a real-world data cohort followed by validation in independent cohorts. We cross-connected bulk-tumor transcriptomes across >1,000 patients with validations at single-cell and spatial resolutions, revealing a patient-specific crosstalk between proinflammatory tumor-associated macrophages and (pre-)exhausted CD8+ T cells that was distinguished by a human leukocyte antigen repertoire with higher preference for tumoral neoantigens. A cross-omics machine learning pipeline helped derive a new tumor transcriptomic footprint of neoantigen-favoring human leukocyte antigen alleles. This machine learning signature correlated with positive outcome following ICB treatment in both real-world data and independent clinical cohorts. In experiments using the RENCA-tumor mouse model, CD40 agonism combined with PD1 blockade potentiated both proinflammatory tumor-associated macrophages and CD8+ T cells, thereby achieving maximal antitumor efficacy relative to other tested regimens. Thus, we present a new multiomics and spatial map of the immune-community architecture that drives ICB response in patients with aRCC.
Collapse
Affiliation(s)
- Lisa Kinget
- Laboratory of Experimental Oncology, KU Leuven, Leuven, Belgium
- Department of General Medical Oncology, University Hospitals Leuven, Leuven Cancer Institute, Leuven, Belgium
| | - Stefan Naulaerts
- Laboratory of Cell Stress and Immunity (CSI), Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Jannes Govaerts
- Laboratory of Cell Stress and Immunity (CSI), Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Isaure Vanmeerbeek
- Laboratory of Cell Stress and Immunity (CSI), Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Jenny Sprooten
- Laboratory of Cell Stress and Immunity (CSI), Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Raquel S Laureano
- Laboratory of Cell Stress and Immunity (CSI), Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Nikolina Dubroja
- Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Gautam Shankar
- Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Francesca M Bosisio
- Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Eduard Roussel
- Department of Urology, University Hospitals Leuven, Leuven, Belgium
| | | | - Francesca Finotello
- Department of Molecular Biology, Digital Science Center (DiSC), University of Innsbruck, Innsbruck, Austria
| | - Markus Ausserhofer
- Department of Molecular Biology, Digital Science Center (DiSC), University of Innsbruck, Innsbruck, Austria
| | - Diether Lambrechts
- Laboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for Cancer Biology, VIB, Leuven, Belgium
| | - Bram Boeckx
- Laboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for Cancer Biology, VIB, Leuven, Belgium
| | | | | | - Johan Kerkhofs
- Histocompatibility and Immunogenetics Laboratory, Belgian Red Cross-Flanders, Mechelen, Belgium
| | - Jessica Zucman-Rossi
- Inserm, UMRS-1138, Génomique fonctionnelle des tumeurs solides, Centre de recherche des Cordeliers, Paris, France
| | - Maarten Albersen
- Department of Urology, University Hospitals Leuven, Leuven, Belgium
| | | | - Benoit Beuselinck
- Laboratory of Experimental Oncology, KU Leuven, Leuven, Belgium.
- Department of General Medical Oncology, University Hospitals Leuven, Leuven Cancer Institute, Leuven, Belgium.
| | - Abhishek D Garg
- Laboratory of Cell Stress and Immunity (CSI), Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
| |
Collapse
|
50
|
Li Y, Tuerxun H, Zhao Y, Liu X, Li X, Wen S, Zhao Y. The new era of lung cancer therapy: Combining immunotherapy with ferroptosis. Crit Rev Oncol Hematol 2024; 198:104359. [PMID: 38615871 DOI: 10.1016/j.critrevonc.2024.104359] [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: 10/29/2023] [Revised: 03/12/2024] [Accepted: 04/10/2024] [Indexed: 04/16/2024] Open
Abstract
Ferroptosis is an unconventional programmed cell death mode caused by phospholipid peroxidation dependent on iron. Emerging immunotherapies (especially immune checkpoint inhibitors) have the potential to enhance lung cancer patients' long-term survival. Although immunotherapy has yielded significant positive applications in some patients, there are still many mechanisms that can cause lung cancer cells to evade immunity, thus leading to the failure of targeted therapies. Immune-tolerant cancer cells are insensitive to conventional death pathways such as apoptosis and necrosis, whereas mesenchymal and metastasis-prone cancer cells are particularly vulnerable to ferroptosis, which plays a vital role in mediating immune tolerance resistance by tumors and immune cells. As a result, triggering lung cancer cell ferroptosis holds significant therapeutic potential for drug-resistant malignancies. Here, we summarize the mechanisms underlying the suppression of ferroptosis in lung cancer, highlight its function in the lung cancer immune microenvironment, and propose possible therapeutic strategies.
Collapse
Affiliation(s)
- Yawen Li
- Cancer Center, the First Hospital of Jilin University, Changchun, Jilin 130021, China
| | - Halahati Tuerxun
- Cancer Center, the First Hospital of Jilin University, Changchun, Jilin 130021, China
| | - Yixin Zhao
- Cancer Center, the First Hospital of Jilin University, Changchun, Jilin 130021, China
| | - Xingyu Liu
- Cancer Center, the First Hospital of Jilin University, Changchun, Jilin 130021, China
| | - Xi Li
- Cancer Center, the First Hospital of Jilin University, Changchun, Jilin 130021, China
| | - Shuhui Wen
- Cancer Center, the First Hospital of Jilin University, Changchun, Jilin 130021, China
| | - Yuguang Zhao
- Cancer Center, the First Hospital of Jilin University, Changchun, Jilin 130021, China.
| |
Collapse
|