1
|
Sun L, Verhaegen ME, McGue J, Olivei AC, Dlugosz AA, Frankel TL, Harms PW. Development of a Multiplex Immunofluorescence Assay for Tumor Microenvironment Studies of Human and Murine Merkel Cell Carcinoma. J Transl Med 2024:102128. [PMID: 39182611 DOI: 10.1016/j.labinv.2024.102128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 08/15/2024] [Accepted: 08/20/2024] [Indexed: 08/27/2024] Open
Abstract
Merkel cell carcinoma (MCC) is an aggressive cutaneous neuroendocrine carcinoma. Checkpoint inhibitor immunotherapy plays an essential role in management of advanced MCC; however, predictors of immunotherapy response remain poorly defined. Syngeneic mouse models suitable for testing novel immunotherapy and combination therapy approaches are likely to soon become available and will require assays for evaluating the tumor microenvironment (TME). Multiplex immunofluorescence (mIF) is a powerful approach to characterize the TME for understanding immunotherapy responses and immune surveillance. In this methods article, we provide detailed instructions on assay development for mIF, using as examples two new mIF panels for TME investigations of human and murine MCC tumors. Specifically, we demonstrate panels that allow simultaneous visualization of the Merkel cell master transcription factor SOX2 for tumor cell identification, alongside T-cells markers (CD3, CD8, and FOXP3), macrophage markers (F4/80 for mouse, CD163 for human), together with the checkpoint marker PD-L1 for human tumors, and the myeloid derived suppressor cell marker Arg1 for mouse tumors. We provide detailed protocols for investigators to incorporate these mIF panels into their investigations of human and murine MCC. We also provide fundamental guidance for mIF assay development that will be broadly useful for investigators who are considering modifying the panels presented here, or developing their own mIF panels.
Collapse
Affiliation(s)
- Lei Sun
- Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Jake McGue
- Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA
| | - Alberto C Olivei
- Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA
| | - Andrzej A Dlugosz
- Department of Dermatology, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA; Department of Cell & Developmental Biology, Ann Arbor, MI 48109, USA
| | - Timothy L Frankel
- Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - Paul W Harms
- Department of Dermatology, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA; Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA.
| |
Collapse
|
2
|
Hwang W, Raymond T, McPartland T, Jeong S, Evans CL. Fluorescence Lifetime Multiplexing (FLEX) for simultaneous high dimensional spatial biology in 3D. Commun Biol 2024; 7:1012. [PMID: 39154126 PMCID: PMC11330493 DOI: 10.1038/s42003-024-06702-8] [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: 02/01/2024] [Accepted: 08/08/2024] [Indexed: 08/19/2024] Open
Abstract
Immunohistochemistry is a crucial method for detecting specific proteins within tissue samples, yet constrained to one biomarker per tissue section. Multiplexed immunofluorescence, while allowing simultaneous visualization of multiple proteins, faces limitations in the number of simultaneous fluorescent labels due to spectral overlap. Although cyclic immunofluorescence techniques have successfully broadened antibody staining capacities in a single tissue sample, they are plagued by time-consuming and labor-intensive procedures, sample degradation risks, and inability to scale beyond thin sections. In this study, we introduce the use of 3D confocal Fluorescence Lifetime Imaging Microscopy as a high-throughput, multiplexed immunofluorescence platform that can differentiate 11 or more biomarkers in 3D tissue volumes. Leveraging both spectral and lifetime information, this approach allows for practical spatial biology in thin sections that can readily scale to larger volumes of tissue. We believe that this highly multiplexed and versatile biomarker imaging platform will significantly expedite cancer research and enable new translational approaches in the future.
Collapse
Affiliation(s)
- Wonsang Hwang
- Wellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, USA
| | - Tucker Raymond
- Wellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, USA
| | - Tyler McPartland
- Wellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, USA
| | | | - Conor L Evans
- Wellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA, USA.
| |
Collapse
|
3
|
Vuorisalo A, Haapaniemi T, Kholová I. Multi-Tissue Controls and Multiplex Immunocytochemistry in Pulmonary Cytology. Acta Cytol 2024:1-13. [PMID: 39079505 DOI: 10.1159/000540367] [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: 04/11/2024] [Accepted: 07/12/2024] [Indexed: 08/29/2024]
Abstract
INTRODUCTION The World Health Organization 2021 lung cancer classification highlights the central role of immunohistochemistry (IHC) in diagnostic pathology. Despite traditional IHC being essential, its limitation to one marker per tissue section brings challenges, particularly when facing cytological limitedly sized samples. To overcome these challenges, multiplex immunocytochemistry (mICC) techniques offer the simultaneous detection of multiple markers from a single section. These advances complement the highly complex imaging techniques that enable additional analyses of cellular interactions. METHODS The present study outlines a comprehensive mICC methodology of an automated multiplex immunoperoxidase staining method and multiple tissue hybrid controls for ICC/mICC. Protocols are presented in detail and demonstrate a careful approach to optimizing various markers for diagnostic workup including immunotherapy. CONCLUSION Multiplex IHC/ICC emerges as a transformative force in biomedical diagnostics and research. Beyond simultaneous marker detection, it unravels complexities within tissues - unveiling co-localization nuances, deciphering expression patterns, and enhancing understanding of cellular populations. As personalized treatments gain prominence, the study emphasizes the heightened importance of diagnostic tools and sample adequacy. The present methodological study, encapsulating an automated multiplex immunoperoxidase staining method, symbolizes a stride towards precision in pulmonary carcinoma diagnosis. Multi-tissue controls represent a key element in quality assurance in pathology laboratories.
Collapse
Affiliation(s)
- Antti Vuorisalo
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Pathology, Fimlab Laboratories, Tampere, Finland
| | - Teppo Haapaniemi
- Department of Pathology, Fimlab Laboratories, Tampere, Finland
- Department of Biological and Environmental Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Ivana Kholová
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Pathology, Fimlab Laboratories, Tampere, Finland
| |
Collapse
|
4
|
Mi H, Sivagnanam S, Ho WJ, Zhang S, Bergman D, Deshpande A, Baras AS, Jaffee EM, Coussens LM, Fertig EJ, Popel AS. Computational methods and biomarker discovery strategies for spatial proteomics: a review in immuno-oncology. Brief Bioinform 2024; 25:bbae421. [PMID: 39179248 PMCID: PMC11343572 DOI: 10.1093/bib/bbae421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 07/11/2024] [Accepted: 08/09/2024] [Indexed: 08/26/2024] Open
Abstract
Advancements in imaging technologies have revolutionized our ability to deeply profile pathological tissue architectures, generating large volumes of imaging data with unparalleled spatial resolution. This type of data collection, namely, spatial proteomics, offers invaluable insights into various human diseases. Simultaneously, computational algorithms have evolved to manage the increasing dimensionality of spatial proteomics inherent in this progress. Numerous imaging-based computational frameworks, such as computational pathology, have been proposed for research and clinical applications. However, the development of these fields demands diverse domain expertise, creating barriers to their integration and further application. This review seeks to bridge this divide by presenting a comprehensive guideline. We consolidate prevailing computational methods and outline a roadmap from image processing to data-driven, statistics-informed biomarker discovery. Additionally, we explore future perspectives as the field moves toward interfacing with other quantitative domains, holding significant promise for precision care in immuno-oncology.
Collapse
Affiliation(s)
- Haoyang Mi
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
| | - Shamilene Sivagnanam
- The Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97201, United States
- Department of Cell, Development and Cancer Biology, Oregon Health and Science University, Portland, OR 97201, United States
| | - Won Jin Ho
- Department of Oncology, Johns Hopkins University School of Medicine, MD 21205, United States
- Convergence Institute, Johns Hopkins University, Baltimore, MD 21205, United States
| | - Shuming Zhang
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
| | - Daniel Bergman
- Department of Oncology, Johns Hopkins University School of Medicine, MD 21205, United States
- Convergence Institute, Johns Hopkins University, Baltimore, MD 21205, United States
| | - Atul Deshpande
- Department of Oncology, Johns Hopkins University School of Medicine, MD 21205, United States
- Convergence Institute, Johns Hopkins University, Baltimore, MD 21205, United States
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
| | - Alexander S Baras
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
- Department of Pathology, Johns Hopkins University School of Medicine, MD 21205, United States
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
| | - Elizabeth M Jaffee
- Department of Oncology, Johns Hopkins University School of Medicine, MD 21205, United States
- Convergence Institute, Johns Hopkins University, Baltimore, MD 21205, United States
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
| | - Lisa M Coussens
- The Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97201, United States
- Department of Cell, Development and Cancer Biology, Oregon Health and Science University, Portland, OR 97201, United States
- Brenden-Colson Center for Pancreatic Care, Oregon Health and Science University, Portland, OR 97201, United States
| | - Elana J Fertig
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
- Department of Oncology, Johns Hopkins University School of Medicine, MD 21205, United States
- Convergence Institute, Johns Hopkins University, Baltimore, MD 21205, United States
- Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
- Department of Applied Mathematics and Statistics, Johns Hopkins University Whiting School of Engineering, Baltimore, MD 21218, United States
| | - Aleksander S Popel
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States
- Department of Oncology, Johns Hopkins University School of Medicine, MD 21205, United States
| |
Collapse
|
5
|
Yoshida T, Nakamoto T, Atsumi N, Ohe C, Sano T, Yasukochi Y, Tsuta K, Kinoshita H. Impact of LAG-3/FGL1 pathway on immune evasive contexture and clinical outcomes in advanced urothelial carcinoma. J Immunother Cancer 2024; 12:e009358. [PMID: 39043605 PMCID: PMC11268076 DOI: 10.1136/jitc-2024-009358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/27/2024] [Indexed: 07/25/2024] Open
Abstract
BACKGROUND Anti-programmed death-1 (PD-1)/anti-PD-ligand-1 (PD-L1) pathway inhibition is a standard regimen for advanced urothelial carcinoma (UC); however, its limited efficacy has been reflected in reported medium response rates. This study explored the role of next-generation coinhibitory receptors (IRs; lymphocyte activation gene 3 (LAG-3), T-cell immunoglobulin and mucin domain 3 (TIM-3), and T-cell immunoreceptor with Ig and ITIM domains (TIGIT)) and their ligands (LGs) in the response to PD-(L)1 blockade therapy and the oncological outcomes in patients with UC. METHODS We investigated metastatic UC cases who underwent PD-(L)1 therapy (cohort 1: n=348, cohort 2: n=89, and cohort 4: n=29) or advanced UC cases involving surgery (cohort 3: n=293 and cohort 5: n=90). We assessed the mRNA expression profiles and corresponding clinical information regarding IRs and LGs using cohorts 1, 2, and 3. Additionally, we elucidated the spatial features of these targeted markers using multiplex immunohistochemistry (mIHC) on formalin-fixed paraffin-embedded samples from cohorts 4 and 5. Survival, differential expressed gene, and Gene Set Enrichment analyses were performed. For mIHC, quantitative analyses were also performed to correlate immune and tumor cell densities with patient survival. RESULTS LAG-3 expression was strongly associated with the responsiveness of PD-(L)1 blockade compared with the expression of TIM-3 and TIGIT. In tumors with high LAG-3 levels, the increased expression of fibrinogen-like protein 1 (FGL1) had a significantly negative effect on the response to PD-(L)1 blockade and overall survival. Moreover, high FGL1 levels were associated with elevated CD4+ regulatory T-cell gene signatures and the upregulation of CD39 and neuropilin-1, with both indicating CD8+ T-cell exhaustion. mIHC analyses revealed that patients with stromal CD8+LAG-3+cellshigh-tumor FGL1+cellshigh exhibited a significant negative correlation with survival rates compared with those with stromal CD8+LAG-3+cellshigh-tumor FGL1+cellslow. CONCLUSIONS LAG-3 expression and high FGL1 coexpression are important predictive factors of adverse oncological outcomes related to the presence of immunosuppressive contextures. These findings are hypothesis-generating, warranting further mechanistic and clinical studies aimed to evaluate LAG-3/FGL1 blockade in UC.
Collapse
Affiliation(s)
- Takashi Yoshida
- Department of Urology and Andrology, Kansai Medical University, Osaka, Japan
- Graduate School of Engineering, Tottori University, Tottori, Japan
- Department of Urology, Osaka Saiseikai-Noe Hospital, Osaka, Japan
- Corporate Sponsored Research Programs for Multicellular Interactions in Cancer, Kansai Medical University, Osaka, Japan
| | - Takahiro Nakamoto
- Department of Urology and Andrology, Kansai Medical University, Osaka, Japan
- Department of Pathology, Kansai Medical University, Osaka, Japan
| | - Naho Atsumi
- Corporate Sponsored Research Programs for Multicellular Interactions in Cancer, Kansai Medical University, Osaka, Japan
- Department of Pathology, Kansai Medical University, Osaka, Japan
| | - Chisato Ohe
- Department of Urology and Andrology, Kansai Medical University, Osaka, Japan
- Department of Pathology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
| | - Takeshi Sano
- Department of Urology and Andrology, Kansai Medical University, Osaka, Japan
| | - Yoshiki Yasukochi
- Department of Genome Analysis, Institute of Biomedical Science, Kansai Medical University, Osaka, Japan
| | - Koji Tsuta
- Corporate Sponsored Research Programs for Multicellular Interactions in Cancer, Kansai Medical University, Osaka, Japan
- Department of Pathology, Kansai Medical University, Osaka, Japan
| | - Hidefumi Kinoshita
- Department of Urology and Andrology, Kansai Medical University, Osaka, Japan
| |
Collapse
|
6
|
Huang HN, Kuo CW, Hung YL, Yang CH, Hsieh YH, Lin YC, Chang MDT, Lin YY, Ko JC. Optimizing immunofluorescence with high-dynamic-range imaging to enhance PD-L1 expression evaluation for 3D pathology assessment from NSCLC tumor tissue. Sci Rep 2024; 14:15176. [PMID: 38956114 PMCID: PMC11219731 DOI: 10.1038/s41598-024-65187-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 06/18/2024] [Indexed: 07/04/2024] Open
Abstract
Assessing programmed death ligand 1 (PD-L1) expression through immunohistochemistry (IHC) is the golden standard in predicting immunotherapy response of non-small cell lung cancer (NSCLC). However, observation of heterogeneous PD-L1 distribution in tumor space is a challenge using IHC only. Meanwhile, immunofluorescence (IF) could support both planar and three-dimensional (3D) histological analyses by combining tissue optical clearing with confocal microscopy. We optimized clinical tissue preparation for the IF assay focusing on staining, imaging, and post-processing to achieve quality identical to traditional IHC assay. To overcome limited dynamic range of the fluorescence microscope's detection system, we incorporated a high dynamic range (HDR) algorithm to restore the post imaging IF expression pattern and further 3D IF images. Following HDR processing, a noticeable improvement in the accuracy of diagnosis (85.7%) was achieved using IF images by pathologists. Moreover, 3D IF images revealed a 25% change in tumor proportion score for PD-L1 expression at various depths within tumors. We have established an optimal and reproducible process for PD-L1 IF images in NSCLC, yielding high quality data comparable to traditional IHC assays. The ability to discern accurate spatial PD-L1 distribution through 3D pathology analysis could provide more precise evaluation and prediction for immunotherapy targeting advanced NSCLC.
Collapse
Affiliation(s)
- Hsien-Neng Huang
- Department of Pathology, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan
- Department and Graduate Institute of Pathology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chun-Wei Kuo
- Department of Pathology, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan
| | | | | | | | | | | | | | - Jen-Chung Ko
- Department of Internal Medicine, National Taiwan University HospitalHsin-Chu Branch, No. 25, Ln. 442, Sec. 1, Jingguo Rd., North Dist., Hsinchu City, 300, Taiwan, ROC.
| |
Collapse
|
7
|
Liu X, Zhang Z, Yuan J, Yu J, Chen D. Spatial interaction and functional status of CD68 +SHP2 + macrophages in tumor microenvironment correlate with overall survival of NSCLC. Front Immunol 2024; 15:1396719. [PMID: 38799432 PMCID: PMC11116570 DOI: 10.3389/fimmu.2024.1396719] [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: 03/06/2024] [Accepted: 04/30/2024] [Indexed: 05/29/2024] Open
Abstract
Background Tumor-associated macrophages (TAMs) constitute a plastic and heterogeneous cell population of the tumor microenvironment (TME) that can regulate tumor proliferation and support resistance to therapy, constituting promising targets for the development of novel anticancer agents. Our previous results suggest that SHP2 plays a crucial role in reprogramming the phenotype of TAMs. Thus, we hypothesized that SHP2+ TAM may predict the treatment efficacy of non-small cell lung cancer NSCLC patients as a biomarker. Methods We analyzed cancer tissue samples from 79 NSCLC patients using multiplex fluorescence (mIF) staining to visualize various SHP-2+ TAM subpopulations (CD68+SHP2+, CD68+CD86+, CD68 + 206+, CD68+ CD86+SHP2+, CD68+ CD206+SHP2+) and T cells (CD8+ Granzyme B +) of immune cells. The immune cells proportions were quantified in the tumor regions (Tumor) and stromal regions (Stroma), as well as in the overall tumor microenvironment (Tumor and Stroma, TME). The analysis endpoint was overall survival (OS), correlating them with levels of cell infiltration or effective density. Cox regression was used to evaluate the associations between immune cell subsets infiltration and OS. Correlations between different immune cell subsets were examined by Spearman's tests. Results In NSCLC, the distribution of different macrophage subsets within the TME, tumor regions, and stroma regions exhibited inconsistency. The proportions of CD68+ SHP2+ TAMs (P < 0.05) were higher in tumor than in stroma. And the high infiltration of CD68+SHP2+ TAMs in tumor areas correlated with poor OS (P < 0.05). We found that the expression level of SHP2 was higher in M2-like macrophages than in M1-like macrophages. The CD68+SHP2+ subset proportion was positively correlated with the CD68+CD206+ subset within TME (P < 0.0001), tumor (P < 0.0001) and stroma (P < 0.0001). Conclusions The high infiltration of CD68+SHP2+ TAMs predict poor OS in NSCLC. Targeting SHP2 is a potentially effective strategy to inhibit M2-phenotype polarization. And it provides a new thought for SHP2 targeted cancer immunotherapy.
Collapse
Affiliation(s)
- Xu Liu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Zengfu Zhang
- Department of Radiation Oncology, Shandong University Cancer Center, Jinan, Shandong, China
| | - Jupeng Yuan
- Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Jinming Yu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Department of Radiation Oncology, Shandong University Cancer Center, Jinan, Shandong, China
| | - Dawei Chen
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
- Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| |
Collapse
|
8
|
Laberiano-Fernandez C, Gan Q, Wang SM, Tamegnon A, Wistuba I, Yoon E, Roy-Chowdhuri S, Parra ER. Exploratory pilot study to characterize the immune landscapes of malignant pleural effusions and their corresponding primary tumors from patients with breast carcinoma and lung adenocarcinoma. J Am Soc Cytopathol 2024; 13:161-173. [PMID: 38519275 DOI: 10.1016/j.jasc.2024.02.005] [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: 12/30/2023] [Revised: 02/21/2024] [Accepted: 02/23/2024] [Indexed: 03/24/2024]
Abstract
INTRODUCTION Malignant pleural effusion (MPE) is a frequent complication of advanced malignancies. In this pilot study, we characterized the immune landscapes of MPEs, compared them to their primary tumor (PT) samples from breast carcinoma (BC) and lung adenocarcinoma (LADC), and tested the utility of multiplexed image technology in cytological samples. MATERIALS AND METHODS We evaluated the immune contexture of 6 BC and 5 LADC MPEs and their PTs using 3 multiplex immunofluorescence panels. We explored the associations between sample characteristics and pleural effusion-free survival. RESULTS No MPE samples had positive programmed death-ligand 1 expression in malignant cells, although 3 of 11 PTs has positive programmed death-ligand 1 expression (more than 1% expression in malignant cells). Overall, in LADC samples, cluster of differentiation 3 (CD3)+ T cells and CD3+CD8+ cytotoxic T cells predominated (median percentages for MPEs versus PTs: 45.6% versus 40.7% and 4.7% versus 6.6%, respectively) compared with BC. CD68+ macrophages predominated in the BC samples (medians for MPEs 61.2% versus PTs for 57.1%) but not in the LADC samples. Generally in PTs, CD3+CD8+ forkhead box P3+ T cells and the median distances from the malignant cells to CD3+CD8+Ki67+ and CD3+ programmed cell death protein 1 + T cells correlated to earlier MPE after PT diagnosis. CONCLUSIONS The immune cell phenotypes in the MPEs and PTs were similar within each cancer type but different between BC versus LADC. An MPE analysis can potentially be used as a substitute for a PT analysis, but an expanded study of this topic is essential.
Collapse
Affiliation(s)
- Caddie Laberiano-Fernandez
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Qiong Gan
- Department of Anatomic Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sophia Mei Wang
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Auriole Tamegnon
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ignacio Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Esther Yoon
- Department of Anatomic Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sinchita Roy-Chowdhuri
- Department of Anatomic Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Edwin Roger Parra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
| |
Collapse
|
9
|
Vargas GM, Shafique N, Xu X, Karakousis G. Tumor-infiltrating lymphocytes as a prognostic and predictive factor for Melanoma. Expert Rev Mol Diagn 2024; 24:299-310. [PMID: 38314660 PMCID: PMC11134288 DOI: 10.1080/14737159.2024.2312102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 01/17/2024] [Indexed: 02/06/2024]
Abstract
INTRODUCTION Tumor-infiltrating lymphocytes (TILs) have been investigated as prognostic factors in melanoma. Recent advancements in assessing the tumor microenvironment in the setting of more widespread use of immune checkpoint blockade have reignited interest in identifying predictive biomarkers. This review examines the function and significance of TILs in cutaneous melanoma, evaluating their potential as prognostic and predictive markers. AREAS COVERED A literature search was conducted on papers covering tumor infiltrating lymphocytes in cutaneous melanoma available online in PubMed and Web of Science from inception to 1 December 2023, supplemented by citation searching. This article encompasses the assessment of TILs, the role of TILs in the immune microenvironment, TILs as a prognostic factor, TILs as a predictive factor for immunotherapy response, and clinical applications of TILs in the treatment of cutaneous melanoma. EXPERT OPINION Tumor-infiltrating lymphocytes play a heterogeneous role in cutaneous melanoma. While they have historically been associated with improved survival, their status as independent prognostic or predictive factors remains uncertain. Novel methods of TIL assessment, such as determination of TIL subtypes and molecular signaling, demonstrate potential for predicting therapeutic response. Further, while their clinical utility in risk-stratification in melanoma treatment shows promise, a lack of consensus data hinders standardized application.
Collapse
Affiliation(s)
| | - Neha Shafique
- Department of Surgery, University of Pennsylvania, Philadelphia, PA, USA
| | - Xiaowei Xu
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Giorgos Karakousis
- Department of Surgery, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
10
|
Scheuermann S, Kristmann B, Engelmann F, Nuernbergk A, Scheuermann D, Koloseus M, Abed T, Solass W, Seitz CM. Unveiling spatial complexity in solid tumor immune microenvironments through multiplexed imaging. Front Immunol 2024; 15:1383932. [PMID: 38566984 PMCID: PMC10985204 DOI: 10.3389/fimmu.2024.1383932] [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: 02/08/2024] [Accepted: 02/29/2024] [Indexed: 04/04/2024] Open
Abstract
Deciphering cellular components and the spatial interaction network of the tumor immune microenvironment (TIME) of solid tumors is pivotal for understanding biologically relevant cross-talks and, ultimately, advancing therapies. Multiplexed tissue imaging provides a powerful tool to elucidate spatial complexity in a holistic manner. We established and cross-validated a comprehensive immunophenotyping panel comprising over 121 markers for multiplexed tissue imaging using MACSima™ imaging cyclic staining (MICS) alongside an end-to-end analysis workflow. Applying this panel and workflow to primary cancer tissues, we characterized tumor heterogeneity, investigated potential therapeutical targets, conducted in-depth profiling of cell types and states, sub-phenotyped T cells within the TIME, and scrutinized cellular neighborhoods of diverse T cell subsets. Our findings highlight the advantage of spatial profiling, revealing immunosuppressive molecular signatures of tumor-associated myeloid cells interacting with neighboring exhausted, PD1high T cells in the TIME of hepatocellular carcinoma (HCC). This study establishes a robust framework for spatial exploration of TIMEs in solid tumors and underscores the potency of multiplexed tissue imaging and ultra-deep cell phenotyping in unraveling clinically relevant tumor components.
Collapse
Affiliation(s)
- Sophia Scheuermann
- Department of Haematology, Oncology, Gastroenterology, Nephrology, Rheumatology, University Children’s Hospital Tuebingen, Tuebingen, Germany
- iFIT Cluster of Excellence EXC 2180 ‘Image-Guided and Functionally Instructed Tumor Therapies’, University of Tuebingen, Tuebingen, Germany
- German Cancer Consortium (DKTK), partner site Tuebingen, a partnership between German Cancer Research Center (DKFZ) and University Hospital Tuebingen, Tuebingen, Germany
| | - Beate Kristmann
- Department of Haematology, Oncology, Gastroenterology, Nephrology, Rheumatology, University Children’s Hospital Tuebingen, Tuebingen, Germany
| | - Fabienne Engelmann
- Department of Haematology, Oncology, Gastroenterology, Nephrology, Rheumatology, University Children’s Hospital Tuebingen, Tuebingen, Germany
| | - Alice Nuernbergk
- Department of Haematology, Oncology, Gastroenterology, Nephrology, Rheumatology, University Children’s Hospital Tuebingen, Tuebingen, Germany
| | - David Scheuermann
- School of Business and Economics, Faculty of Economics and Social Sciences, University of Tuebingen, Tuebingen, Germany
| | - Marie Koloseus
- Department of Haematology, Oncology, Gastroenterology, Nephrology, Rheumatology, University Children’s Hospital Tuebingen, Tuebingen, Germany
| | - Tayeb Abed
- Institute of Pathology and Neuropathology, University Hospital Tuebingen and Comprehensive Cancer Center, Tuebingen, Germany
| | - Wiebke Solass
- Institute of Tissue Medicine and Pathology (ITMP), University of Bern, Bern, Switzerland
| | - Christian M. Seitz
- Department of Haematology, Oncology, Gastroenterology, Nephrology, Rheumatology, University Children’s Hospital Tuebingen, Tuebingen, Germany
- iFIT Cluster of Excellence EXC 2180 ‘Image-Guided and Functionally Instructed Tumor Therapies’, University of Tuebingen, Tuebingen, Germany
- German Cancer Consortium (DKTK), partner site Tuebingen, a partnership between German Cancer Research Center (DKFZ) and University Hospital Tuebingen, Tuebingen, Germany
| |
Collapse
|
11
|
Qu J, Guan H, Zheng Q, Sun F. Molecular subtypes of disulfidptosis-regulated genes and prognosis models for predicting prognosis, tumor microenvironment infiltration, and therapeutic response in hepatocellular carcinoma. Int J Biol Macromol 2024; 261:129584. [PMID: 38246443 DOI: 10.1016/j.ijbiomac.2024.129584] [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: 06/15/2023] [Revised: 01/16/2024] [Accepted: 01/16/2024] [Indexed: 01/23/2024]
Abstract
Disulfidptosis, a recently identified mode of cellular demise marked by excess SLC7A11-reliant cystine, has been proved to affect the development and resilience of tumor cells through the production of glutathione from cystine. Glutathione synthesis plays a crucial role in chemotherapy resistance and the survival of liver cancer cells. Thus, understanding the relationship between disulfidptosis and hepatocellular carcinoma (HCC) is imperative. A molecular typing approach was employed to classify patients with HCC into two distinct subtypes, namely disulfidptosis and disulfide-homeostasis, based on the expression of genes associated with disulfidptosis. Patients with disulfidptosis exhibited a longer survival time, improved immune status, and heightened sensitivity to conventional chemotherapeutic drugs and immunotherapy. Patients with disulfide-homeostasis demonstrated an immunosuppressive microenvironment, drug resistance, and unfavorable prognosis. A prognostic model was constructed utilizing the significant prognostic variables of the disulfidptosis-regulated genes. A real-world cohort was subjected to multiplex immunofluorescence to validate the clinical outcomes and immune context. Ultimately, our study delved into the prognostic relevance of disulfidptosis in HCC and provides insights into potential avenues for future research.
Collapse
Affiliation(s)
- Jialin Qu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250117, Shandong, China
| | - Hui Guan
- Department of Radiation Oncology, The Fourth People's Hospital of Jinan, Jinan 250031, Shandong, China
| | - Quan Zheng
- Department of Pathology, Shandong Provincial Qianfoshan Hospital, Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250117, Shandong, China
| | - Fenghao Sun
- Department of Nuclear Medicine, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, Shandong, China.
| |
Collapse
|
12
|
Li JJX, Tse GM. Immunocytochemical markers, molecular testing and digital cytopathology for aspiration cytology of metastatic breast carcinoma. Cytopathology 2024; 35:218-225. [PMID: 37985397 DOI: 10.1111/cyt.13333] [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: 06/29/2023] [Revised: 08/28/2023] [Accepted: 11/02/2023] [Indexed: 11/22/2023]
Abstract
Fine-needle aspiration cytology (FNAC) is a versatile diagnostic procedure uniquely suited for tissue biopsy of breast carcinomas and axillary metastases and/or recurrences. With the expanding treatment options and accompanying theragnostic tests, it is crucial to recognize the developments on ancillary testing and digital cytopathology techniques related to aspiration cytology of metastatic breast carcinoma. In this review, we aim to summarize and update the evidence of immunocytochemistry, for the detection of carcinoma cells (epithelial markers), confirmation of breast primary (breast-specific markers), assessment of surrogate immunostains (hormone receptors, ki-67 proliferative index and HER2) and theragnostic biomarkers, with discussion on potential diagnostic pitfalls, followed by the application of molecular tests, and digital cytopathologic techniques for assessing metastatic breast carcinoma in cytology.
Collapse
Affiliation(s)
- Joshua J X Li
- Department of Anatomical and Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Gary M Tse
- Department of Anatomical and Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| |
Collapse
|
13
|
Piga I, Magni F, Smith A. The journey towards clinical adoption of MALDI-MS-based imaging proteomics: from current challenges to future expectations. FEBS Lett 2024; 598:621-634. [PMID: 38140823 DOI: 10.1002/1873-3468.14795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 12/06/2023] [Accepted: 12/09/2023] [Indexed: 12/24/2023]
Abstract
Among the spatial omics techniques available, mass spectrometry imaging (MSI) represents one of the most promising owing to its capability to map the distribution of hundreds of peptides and proteins, as well as other classes of biomolecules, within a complex sample background in a multiplexed and relatively high-throughput manner. In particular, matrix-assisted laser desorption/ionisation (MALDI-MSI) has come to the fore and established itself as the most widely used technique in clinical research. However, the march of this technique towards clinical utility has been hindered by issues related to method reproducibility, appropriate biocomputational tools, and data storage. Notwithstanding these challenges, significant progress has been achieved in recent years regarding multiple facets of the technology and has rendered it more suitable for a possible clinical role. As such, there is now more robust and extensive evidence to suggest that the technology has the potential to support clinical decision-making processes under appropriate circumstances. In this review, we will discuss some of the recent developments that have facilitated this progress and outline some of the more promising clinical proteomics applications which have been developed with a clear goal towards implementation in mind.
Collapse
Affiliation(s)
- Isabella Piga
- Department of Medicine and Surgery, Proteomics and Metabolomics Unit, University of Milano-Bicocca, Vedano al Lambro, Italy
| | - Fulvio Magni
- Department of Medicine and Surgery, Proteomics and Metabolomics Unit, University of Milano-Bicocca, Vedano al Lambro, Italy
| | - Andrew Smith
- Department of Medicine and Surgery, Proteomics and Metabolomics Unit, University of Milano-Bicocca, Vedano al Lambro, Italy
| |
Collapse
|
14
|
Huan X, Zou K, Zhang P, Ding H, Luo C, Xiang C, Xu S, Zhuang Y, Wu C, Wang Y, Wu X, Chen C, Zhang J, Yao X, Liu F, Liu S, Wu Z. Neoadjuvant chemotherapy is linked to an amended anti-tumorigenic microenvironment in gastric cancer. Int Immunopharmacol 2024; 127:111352. [PMID: 38091833 DOI: 10.1016/j.intimp.2023.111352] [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: 10/07/2023] [Revised: 12/05/2023] [Accepted: 12/05/2023] [Indexed: 01/18/2024]
Abstract
BACKGROUND Neoadjuvant chemotherapy (NAC) is a frequently intervention for patients with locally advanced gastric cancer (GC). Nevertheless, its impact on the tumor immune microenvironment remains unclear. METHODS We used immunohistochemistry to identify T-cell subpopulations, tumor-associated neutrophils (TANs), and tumor-associated macrophages (TAMs) in the GC microenvironment (GCME) among paired samples (pre-chemotherapy and post-chemotherapy) from 48 NAC-treated patients. Multiplex immunofluorescence (mIF) was performed to assess immune biomarkers, including CK, CD4, CD8, FOXP3, PD1, PD-L1, CD163, CD86, myeloperoxidase and Arginase-1 in paired samples from 6 GC patients whose response to NAC were rigorously defined. RESULTS NAC was intricately linked to enhanced CD8+:CD4+ ratio, reduced CD163+ M2-like macrophages, augmented CD86+ M1: CD163+ M2-like macrophage ratio, and diminished FOXP3+ regulatory T cells (T-regs) and TANs density. Based on mIF, PD1+CD8+T-cells, FOXP3+T-regs, PD-L1+ TANs, and CD163+ M2-like macrophages exhibited marked reduction and greater co-localization with tumor cells following NAC. The pre-NAC FOXP3+ T-regs and CD163+ M2-like macrophages content was substantially elevated in the response cohort, whereas, the post-NAC CD8+:CD4+ and CD86+ M1: CD163+ M2-like macrophage ratios were intricately linked to the tumor pathologic response. We observed greater CD163+ M2-like macrophages and tumor cells co-localization following NAC, which was correlated with tumor pathologic response. Lastly, multivariate analysis revealed that post-NAC CD8+:CD4+ and CD86+ M1: CD163+ M2-like macrophage ratios were stand-alone indicators of positive patient prognosis. CONCLUSIONS NAC converts the GCME to an anti-tumorigenic state that is conducive to enhanced patient outcome. These finding can significantly benefit the future planning of highly efficacious and personalized GC immunotherapy.
Collapse
Affiliation(s)
- Xiangkun Huan
- Department of Surgical Oncology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
| | - Kun Zou
- Department of Surgical Oncology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
| | - Peichan Zhang
- Department of Surgical Oncology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China; No. 1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Haihua Ding
- Department of Surgical Oncology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China; No. 1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Chunyang Luo
- Department of Surgical Oncology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China; No. 1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Chunjie Xiang
- School of Medicine, Southeast University, Nanjing 210023, China
| | - Shuo Xu
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Yuwen Zhuang
- Department of Oncology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
| | - Cunen Wu
- Department of Oncology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
| | - Yaohui Wang
- Department of Pathology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
| | - Xiaoyu Wu
- Department of Surgical Oncology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
| | - Che Chen
- Department of Surgical Oncology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
| | - Junfeng Zhang
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China.
| | - Xuequan Yao
- Department of Surgical Oncology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
| | - Fukun Liu
- Department of Surgical Oncology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
| | - Shenlin Liu
- Department of Oncology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
| | - Zhenfeng Wu
- Department of Surgical Oncology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China.
| |
Collapse
|
15
|
Ionescu F, Nguyen J, Segura CM, Paravathaneni M, Grass GD, Johnstone P, Zacharias NM, Pettaway CA, Lu X, Kim Y, Whiting J, Dhillon J, Eschrich SA, Chadha J, Gullapalli K, Roman Souza G, Miyagi H, Manley BJ, Spiess PE, Chahoud J. Multiplex Immunofluorescence Captures Progressive Immune Exhaustion with Advancing Penile Squamous Cell Cancer Stage. Cancers (Basel) 2024; 16:303. [PMID: 38275860 PMCID: PMC10814242 DOI: 10.3390/cancers16020303] [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: 12/04/2023] [Revised: 12/25/2023] [Accepted: 01/05/2024] [Indexed: 01/27/2024] Open
Abstract
Penile squamous cell carcinoma (PSCC) is a rare and deadly malignancy. Therapeutic advances have been stifled by a poor understanding of disease biology. Specifically, the immune microenvironment is an underexplored component in PSCC and the activity of immune checkpoint inhibitors observed in a subset of patients suggests immune escape may play an important role in tumorigenesis. Herein, we explored for the first time the immune microenvironment of 57 men with PSCC and how it varies with the presence of human papillomavirus (HPV) infection and across tumor stages using multiplex immunofluorescence of key immune cell markers. We observed an increase in the density of immune effector cells in node-negative tumors and a progressive rise in inhibitory immune players such as type 2 macrophages and upregulation of the PD-L1 checkpoint in men with N1 and N2-3 disease. There were no differences in immune cell densities with HPV status.
Collapse
Affiliation(s)
- Filip Ionescu
- Genitourinary Oncology Department, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA; (F.I.); (M.P.); (J.C.); (P.E.S.)
| | - Jonathan Nguyen
- Pathology Department, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA
| | | | - Mahati Paravathaneni
- Genitourinary Oncology Department, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA; (F.I.); (M.P.); (J.C.); (P.E.S.)
| | - G. Daniel Grass
- Radiation Oncology Department, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Peter Johnstone
- Radiation Oncology Department, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Niki M. Zacharias
- Department of Urology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Curtis A. Pettaway
- Department of Urology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Xin Lu
- Department of Biological Sciences, University of Notre Dame, Norte Dame, IN 46556, USA;
| | - Youngchul Kim
- Biostatistics and Bioinformatics Department, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Junmin Whiting
- Biostatistics and Bioinformatics Department, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Jasreman Dhillon
- Pathology Department, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Steven A. Eschrich
- Biostatistics and Bioinformatics Department, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Juskaran Chadha
- Genitourinary Oncology Department, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA; (F.I.); (M.P.); (J.C.); (P.E.S.)
| | - Keerthi Gullapalli
- Genitourinary Oncology Department, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA; (F.I.); (M.P.); (J.C.); (P.E.S.)
| | - Gabriel Roman Souza
- Genitourinary Oncology Department, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA; (F.I.); (M.P.); (J.C.); (P.E.S.)
| | - Hiroko Miyagi
- Genitourinary Oncology Department, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA; (F.I.); (M.P.); (J.C.); (P.E.S.)
| | - Brandon J. Manley
- Genitourinary Oncology Department, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA; (F.I.); (M.P.); (J.C.); (P.E.S.)
| | - Philippe E. Spiess
- Genitourinary Oncology Department, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA; (F.I.); (M.P.); (J.C.); (P.E.S.)
| | - Jad Chahoud
- Genitourinary Oncology Department, H. Lee Moffitt Cancer Center, Tampa, FL 33612, USA; (F.I.); (M.P.); (J.C.); (P.E.S.)
| |
Collapse
|
16
|
Pakula H, Omar M, Carelli R, Pederzoli F, Fanelli GN, Pannellini T, Socciarelli F, Van Emmenis L, Rodrigues S, Fidalgo-Ribeiro C, Nuzzo PV, Brady NJ, Dinalankara W, Jere M, Valencia I, Saladino C, Stone J, Unkenholz C, Garner R, Alexanderani MK, Khani F, de Almeida FN, Abate-Shen C, Greenblatt MB, Rickman DS, Barbieri CE, Robinson BD, Marchionni L, Loda M. Distinct mesenchymal cell states mediate prostate cancer progression. Nat Commun 2024; 15:363. [PMID: 38191471 PMCID: PMC10774315 DOI: 10.1038/s41467-023-44210-1] [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: 03/13/2023] [Accepted: 12/04/2023] [Indexed: 01/10/2024] Open
Abstract
In the complex tumor microenvironment (TME), mesenchymal cells are key players, yet their specific roles in prostate cancer (PCa) progression remain to be fully deciphered. This study employs single-cell RNA sequencing to delineate molecular changes in tumor stroma that influence PCa progression and metastasis. Analyzing mesenchymal cells from four genetically engineered mouse models (GEMMs) and correlating these findings with human tumors, we identify eight stromal cell populations with distinct transcriptional identities consistent across both species. Notably, stromal signatures in advanced mouse disease reflect those in human bone metastases, highlighting periostin's role in invasion and differentiation. From these insights, we derive a gene signature that predicts metastatic progression in localized disease beyond traditional Gleason scores. Our results illuminate the critical influence of stromal dynamics on PCa progression, suggesting new prognostic tools and therapeutic targets.
Collapse
Affiliation(s)
- Hubert Pakula
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Mohamed Omar
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, Belfer Research Building, 413 East 69th Street, New York, NY, 10021, USA
| | - Ryan Carelli
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Filippo Pederzoli
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Giuseppe Nicolò Fanelli
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
- Department of Laboratory Medicine, Pisa University Hospital, Division of Pathology, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, 56126, Italy
| | - Tania Pannellini
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Fabio Socciarelli
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Lucie Van Emmenis
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Silvia Rodrigues
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Caroline Fidalgo-Ribeiro
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Pier Vitale Nuzzo
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Nicholas J Brady
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Wikum Dinalankara
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Madhavi Jere
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Itzel Valencia
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Christopher Saladino
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Jason Stone
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Caitlin Unkenholz
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Richard Garner
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Mohammad K Alexanderani
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Francesca Khani
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Francisca Nunes de Almeida
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, 10032, USA
| | - Cory Abate-Shen
- Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, 10032, USA
- Department of Molecular Pharmacology and Therapeutics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, 10032, USA
- Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, 10032, USA
- Department of Urology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, 10032, USA
- Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, 10032, USA
| | - Matthew B Greenblatt
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - David S Rickman
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Christopher E Barbieri
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, Belfer Research Building, 413 East 69th Street, New York, NY, 10021, USA
- Department of Urology, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Brian D Robinson
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, Belfer Research Building, 413 East 69th Street, New York, NY, 10021, USA
- Department of Urology, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Luigi Marchionni
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Massimo Loda
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10021, USA.
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, Belfer Research Building, 413 East 69th Street, New York, NY, 10021, USA.
- Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, 450 Brookline Ave, Boston, MA, 02215, USA.
- University of Oxford, Nuffield Department of Surgical Sciences, Oxford, UK.
| |
Collapse
|
17
|
Rodríguez-Bejarano OH, Roa L, Vargas-Hernández G, Botero-Espinosa L, Parra-López C, Patarroyo MA. Strategies for studying immune and non-immune human and canine mammary gland cancer tumour infiltrate. Biochim Biophys Acta Rev Cancer 2024; 1879:189064. [PMID: 38158026 DOI: 10.1016/j.bbcan.2023.189064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 12/11/2023] [Accepted: 12/20/2023] [Indexed: 01/03/2024]
Abstract
The tumour microenvironment (TME) is usually defined as a cell environment associated with tumours or cancerous stem cells where conditions are established affecting tumour development and progression through malignant cell interaction with non-malignant cells. The TME is made up of endothelial, immune and non-immune cells, extracellular matrix (ECM) components and signalling molecules acting specifically on tumour and non-tumour cells. Breast cancer (BC) is the commonest malignant neoplasm worldwide and the main cause of mortality in women globally; advances regarding BC study and understanding it are relevant for acquiring novel, personalised therapeutic tools. Studying canine mammary gland tumours (CMGT) is one of the most relevant options for understanding BC using animal models as they share common epidemiological, clinical, pathological, biological, environmental, genetic and molecular characteristics with human BC. In-depth, detailed investigation regarding knowledge of human BC-related TME and in its canine model is considered extremely relevant for understanding changes in TME composition during tumour development. This review addresses important aspects concerned with different methods used for studying BC- and CMGT-related TME that are important for developing new and more effective therapeutic strategies for attacking a tumour during specific evolutionary stages.
Collapse
Affiliation(s)
- Oscar Hernán Rodríguez-Bejarano
- Health Sciences Faculty, Universidad de Ciencias Aplicadas y Ambientales (U.D.C.A), Calle 222#55-37, Bogotá 111166, Colombia; Molecular Biology and Immunology Department, Fundacion Instituto de Inmunología de Colombia (FIDIC), Carrera 50#26-20, Bogotá 111321, Colombia; PhD Programme in Biotechnology, Faculty of Sciences, Universidad Nacional de Colombia, Carrera 45#26-85, Bogotá 111321, Colombia
| | - Leonardo Roa
- Veterinary Clinic, Faculty of Agricultural Sciences, Universidad de La Salle, Carrera 7 #179-03, Bogotá 110141, Colombia
| | - Giovanni Vargas-Hernández
- Animal Health Department, Faculty of Veterinary Medicine and Zootechnics, Universidad Nacional de Colombia, Carrera 45#26-85, Bogotá 111321, Colombia
| | - Lucía Botero-Espinosa
- Animal Health Department, Faculty of Veterinary Medicine and Zootechnics, Universidad Nacional de Colombia, Carrera 45#26-85, Bogotá 111321, Colombia
| | - Carlos Parra-López
- Microbiology Department, Faculty of Medicine, Universidad Nacional de Colombia, Carrera 45#26-85, Bogotá 111321, Colombia.
| | - Manuel Alfonso Patarroyo
- Molecular Biology and Immunology Department, Fundacion Instituto de Inmunología de Colombia (FIDIC), Carrera 50#26-20, Bogotá 111321, Colombia; Microbiology Department, Faculty of Medicine, Universidad Nacional de Colombia, Carrera 45#26-85, Bogotá 111321, Colombia.
| |
Collapse
|
18
|
Bonnevie ED, Dobrzynski E, Steiner D, Hildebrand D, Monslow J, Singh M, Decman V, Krull DL. A machine learning approach toward automating spatial identification of LAG3+/CD3+ cells in ulcerative colitis. Sci Rep 2023; 13:21759. [PMID: 38066073 PMCID: PMC10709428 DOI: 10.1038/s41598-023-49163-5] [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: 03/31/2023] [Accepted: 12/05/2023] [Indexed: 12/18/2023] Open
Abstract
Over the past decade, automation of digital image analysis has become commonplace in both research and clinical settings. Spurred by recent advances in artificial intelligence and machine learning (AI/ML), tissue sub-compartments and cellular phenotypes within those compartments can be identified with higher throughput and accuracy than ever before. Recently, immune checkpoints have emerged as potential targets for auto-immune diseases. As such, spatial identification of these proteins along with immune cell markers (e.g., CD3+/LAG3+ T-cells) is a crucial step in understanding the potential and/or efficacy of such treatments. Here, we describe a semi-automated imaging and analysis pipeline that identifies CD3+/LAG3+ cells in colorectal tissue sub-compartments. While chromogenic staining has been a clinical mainstay and the resulting brightfield images have been utilized in AI/ML approaches in the past, there are associated drawbacks in phenotyping algorithms that can be overcome by fluorescence imaging. To address these tradeoffs, we developed an analysis pipeline combining the strengths of brightfield and fluorescence images. In this assay, immunofluorescence imaging was conducted to identify phenotypes followed by coverslip removal and hematoxylin and eosin staining of the same section to inform an AI/ML tissue segmentation algorithm. This assay proved to be robust in both tissue segmentation and phenotyping, was compatible with automated workflows, and revealed presence of LAG3+ T-cells in ulcerative colitis biopsies with spatial context preserved.
Collapse
Affiliation(s)
| | | | | | | | | | - Mohan Singh
- Cellular Biomarkers, GSK, Upper Providence, USA
| | | | | |
Collapse
|
19
|
Vokes NI, Galan Cobo A, Fernandez-Chas M, Molkentine D, Treviño S, Druker V, Qian Y, Patel S, Schmidt S, Hong L, Lewis J, Rinsurongkawong W, Rinsurongkawong V, Lee JJ, Negrao MV, Gibbons DL, Vaporciyan A, Le X, Wu J, Zhang J, Rigney U, Iyer S, Dean E, Heymach JV. ATM Mutations Associate with Distinct Co-Mutational Patterns and Therapeutic Vulnerabilities in NSCLC. Clin Cancer Res 2023; 29:4958-4972. [PMID: 37733794 PMCID: PMC10690143 DOI: 10.1158/1078-0432.ccr-23-1122] [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: 04/14/2023] [Revised: 06/16/2023] [Accepted: 09/15/2023] [Indexed: 09/23/2023]
Abstract
PURPOSE Ataxia-telangiectasia mutated (ATM) is the most frequently mutated DNA damage repair gene in non-small cell lung cancer (NSCLC). However, the molecular correlates of ATM mutations and their clinical implications have not been fully elucidated. EXPERIMENTAL DESIGN Clinicopathologic and genomic data from 26,587 patients with NSCLC from MD Anderson, public databases, and a de-identified nationwide (US-based) NSCLC clinicogenomic database (CGDB) were used to assess the co-mutation landscape, protein expression, and mutational processes in ATM-mutant tumors. We used the CGDB to evaluate ATM-associated outcomes in patients treated with immune checkpoint inhibitors (ICI) with or without chemotherapy, and assessed the effect of ATM loss on STING signaling and chemotherapy sensitivity in preclinical models. RESULTS Nonsynonymous mutations in ATM were observed in 11.2% of samples (2,980/26,587) and were significantly associated with mutations in KRAS, but mutually exclusive with EGFR (q < 0.1). KRAS mutational status constrained the ATM co-mutation landscape, with strong mutual exclusivity with TP53 and KEAP1 within KRAS-mutated samples. Those ATM mutations that co-occurred with TP53 were more likely to be missense mutations and associate with high mutational burden, suggestive of non-functional passenger mutations. In the CGDB cohort, dysfunctional ATM mutations associated with improved OS only in patients treated with ICI-chemotherapy, and not ICI alone. In vitro analyses demonstrated enhanced upregulation of STING signaling in ATM knockout cells with the addition of chemotherapy. CONCLUSIONS ATM mutations define a distinct subset of NSCLC associated with KRAS mutations, increased TMB, decreased TP53 and EGFR co-occurrence, and potential increased sensitivity to ICIs in the context of DNA-damaging chemotherapy.
Collapse
Affiliation(s)
- Natalie I. Vokes
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ana Galan Cobo
- Department of Molecular Diagnostics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - David Molkentine
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Santiago Treviño
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Vitaly Druker
- Oncology R&D, AstraZeneca, Cambridge, United Kingdom
| | - Yu Qian
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sonia Patel
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Stephanie Schmidt
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lingzhi Hong
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jeff Lewis
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Waree Rinsurongkawong
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - J. Jack Lee
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Marcelo V. Negrao
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Don L. Gibbons
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ara Vaporciyan
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Xiuning Le
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jia Wu
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jianjun Zhang
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Una Rigney
- Oncology R&D, AstraZeneca, Cambridge, United Kingdom
| | - Sonia Iyer
- Oncology R&D, AstraZeneca, Cambridge, United Kingdom
| | - Emma Dean
- Oncology R&D, AstraZeneca, Cambridge, United Kingdom
| | - John V. Heymach
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| |
Collapse
|
20
|
Soupir AC, Hayes MT, Peak TC, Ospina O, Chakiryan NH, Berglund AE, Stewart PA, Nguyen J, Segura CM, Francis NL, Echevarria PMR, Chahoud J, Li R, Tsai KY, Balasi JA, Peres YC, Dhillon J, Martinez LA, Gloria WE, Schurman N, Kim S, Gregory M, Mulé J, Fridley BL, Manley BJ. Increased spatial coupling of integrin and collagen IV in the immunoresistant clear cell renal cell carcinoma tumor microenvironment. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.16.567457. [PMID: 38014063 PMCID: PMC10680839 DOI: 10.1101/2023.11.16.567457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Background Immunotherapy (IO) has improved survival for patients with advanced clear cell renal cell carcinoma (ccRCC), but resistance to therapy develops in most patients. We use cellular-resolution spatial transcriptomics in patients with IO naïve and IO exposed primary ccRCC tumors to better understand IO resistance. Spatial molecular imaging (SMI) was obtained for tumor and adjacent stroma samples. Spatial gene set enrichment analysis (GSEA) and autocorrelation (coupling with high expression) of ligand-receptor transcript pairs were assessed. Multiplex immunofluorescence (mIF) validation was used for significant autocorrelative findings and the cancer genome atlas (TCGA) and the clinical proteomic tumor analysis consortium (CPTAC) databases were queried to assess bulk RNA expression and proteomic correlates. Results 21 patient samples underwent SMI. Viable tumors following IO harbored more stromal CD8+ T cells and neutrophils than IO naïve tumors. YES1 was significantly upregulated in IO exposed tumor cells. The epithelial-mesenchymal transition pathway was enriched on spatial GSEA and the associated transcript pair COL4A1-ITGAV had significantly higher autocorrelation in the stroma. Fibroblasts, tumor cells, and endothelium had the relative highest expression. More integrin αV+ cells were seen in IO exposed stroma on mIF validation. Compared to other cancers in TCGA, ccRCC tumors have the highest expression of both COL4A1 and ITGAV. In CPTAC, collagen IV protein was more abundant in advanced stages of disease. Conclusions On spatial transcriptomics, COL4A1 and ITGAV were more autocorrelated in IO-exposed stroma compared to IO-naïve tumors, with high expression amongst fibroblasts, tumor cells, and endothelium. Integrin represents a potential therapeutic target in IO treated ccRCC.
Collapse
Affiliation(s)
- Alex C Soupir
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL 33612
| | - Mitchell T Hayes
- Department of Genitourinary Oncology, Moffitt Cancer Center, Tampa, FL 33612
| | - Taylor C Peak
- Department of Genitourinary Oncology, Moffitt Cancer Center, Tampa, FL 33612
| | - Oscar Ospina
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL 33612
| | - Nicholas H Chakiryan
- Knight Cancer Center, Translation Oncology Program, Oregon Health & Science University, Portland, OR 97239
| | - Anders E Berglund
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL 33612
| | - Paul A Stewart
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL 33612
| | - Jonathan Nguyen
- Department of Pathology, Moffitt Cancer Center, Tampa, FL 33612
| | | | | | | | - Jad Chahoud
- Department of Genitourinary Oncology, Moffitt Cancer Center, Tampa, FL 33612
| | - Roger Li
- Department of Genitourinary Oncology, Moffitt Cancer Center, Tampa, FL 33612
| | - Kenneth Y. Tsai
- Department of Pathology, Moffitt Cancer Center, Tampa, FL 33612
| | - Jodi A. Balasi
- Department of Pathology, Moffitt Cancer Center, Tampa, FL 33612
| | | | | | | | | | | | | | | | - James Mulé
- Department of Immunology, Moffitt Cancer Center, Tampa, FL 33612
| | - Brooke L Fridley
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL 33612
| | - Brandon J Manley
- Department of Genitourinary Oncology, Moffitt Cancer Center, Tampa, FL 33612
| |
Collapse
|
21
|
Cohen R, Lee-Pullen T, Miller TJ, Meehan K, Fuller K, McCoy MJ. Optimising multiplex immunofluorescence staining for characterising the tumour immune micro-environment. Methods 2023; 219:48-57. [PMID: 37741563 DOI: 10.1016/j.ymeth.2023.09.004] [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: 06/05/2023] [Revised: 09/08/2023] [Accepted: 09/18/2023] [Indexed: 09/25/2023] Open
Abstract
Exploring the tumour microenvironment provides insight into the unique interaction between the host and tumour. Ultimately, its study improves understanding of how an individual mounts and achieves an anti-tumour immune response. In the context of colorectal cancer, immune biomarkers within the tumour microenvironment outperform traditional histopathological staging in predicting disease recurrence. Multiplex immunofluorescence enables simultaneous assessment of multiple markers to provide a highly accurate classification of immune cells and their spatial characterisation relative to tumour tissue. Further, automated slide staining provides staining consistency and reduces labour costs. Image acquisition using a non-spectral scanner allows more researchers to utilise multiplexed immunofluorescence for translational research. Herein we describe the optimisation process of conducting automated staining using a five-colour, tyramide signal amplification-based multiplex immunofluorescence panel. Using antibodies against CD3, CD8, CD103 and cytokeratin, the panel characterises T cell populations within human colorectal adenocarcinoma tissue. We provide an overview of primary antibody titration and the development of tyramide signal amplification immunofluorescence monoplex assays. We detail the processes of antibody stripping and the role of exogenous horseradish peroxidase inhibition to facilitate multiplexing. An account of determining the staining sequence and fluorophore assignment is provided. We describe image acquisition using a standard fluorescence microscope slide scanner and the management of spectral crosstalk using this system. Finally, we briefly document the digital image analysis required to characterise cells and determine their spatial distribution within the colorectal tumour microenvironment.
Collapse
Affiliation(s)
- Ryan Cohen
- School of Biomedical Sciences, The University of Western Australia, Perth, Western Australia; Colorectal Cancer Unit, St John of God Subiaco Hospital, Perth, Western, Australia.
| | - Tracey Lee-Pullen
- Colorectal Cancer Unit, St John of God Subiaco Hospital, Perth, Western, Australia; School of Medicine, The University of Western Australia, Perth, Western, Australia.
| | - Timothy J Miller
- Colorectal Cancer Unit, St John of God Subiaco Hospital, Perth, Western, Australia; School of Medicine, The University of Western Australia, Perth, Western, Australia.
| | - Katie Meehan
- School of Biomedical Sciences, The University of Western Australia, Perth, Western Australia.
| | - Kathy Fuller
- School of Biomedical Sciences, The University of Western Australia, Perth, Western Australia.
| | - Melanie J McCoy
- Colorectal Cancer Unit, St John of God Subiaco Hospital, Perth, Western, Australia; School of Medicine, The University of Western Australia, Perth, Western, Australia.
| |
Collapse
|
22
|
Frei AL, McGuigan A, Sinha RRAK, Glaire MA, Jabbar F, Gneo L, Tomasevic T, Harkin A, Iveson TJ, Saunders M, Oein K, Maka N, Pezella F, Campo L, Hay J, Edwards J, Sansom OJ, Kelly C, Tomlinson I, Kildal W, Kerr RS, Kerr DJ, Danielsen HE, Domingo E, Church DN, Koelzer VH. Accounting for intensity variation in image analysis of large-scale multiplexed clinical trial datasets. J Pathol Clin Res 2023; 9:449-463. [PMID: 37697694 PMCID: PMC10556275 DOI: 10.1002/cjp2.342] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 08/14/2023] [Accepted: 08/20/2023] [Indexed: 09/13/2023]
Abstract
Multiplex immunofluorescence (mIF) imaging can provide comprehensive quantitative and spatial information for multiple immune markers for tumour immunoprofiling. However, application at scale to clinical trial samples sourced from multiple institutions is challenging due to pre-analytical heterogeneity. This study reports an analytical approach to the largest multi-parameter immunoprofiling study of clinical trial samples to date. We analysed 12,592 tissue microarray (TMA) spots from 3,545 colorectal cancers sourced from more than 240 institutions in two clinical trials (QUASAR 2 and SCOT) stained for CD4, CD8, CD20, CD68, FoxP3, pan-cytokeratin, and DAPI by mIF. TMA slides were multi-spectrally imaged and analysed by cell-based and pixel-based marker analysis. We developed an adaptive thresholding method to account for inter- and intra-slide intensity variation in TMA analysis. Applying this method effectively ameliorated inter- and intra-slide intensity variation improving the image analysis results compared with methods using a single global threshold. Correlation of CD8 data derived by our mIF analysis approach with single-plex chromogenic immunohistochemistry CD8 data derived from subsequent sections indicates the validity of our method (Spearman's rank correlation coefficients ρ between 0.63 and 0.66, p ≪ 0.01) as compared with the current gold standard analysis approach. Evaluation of correlation between cell-based and pixel-based analysis results confirms equivalency (ρ > 0.8, p ≪ 0.01, except for CD20 in the epithelial region) of both analytical approaches. These data suggest that our adaptive thresholding approach can enable analysis of mIF-stained clinical trial TMA datasets by digital pathology at scale for precision immunoprofiling.
Collapse
Affiliation(s)
- Anja L Frei
- Department of Pathology and Molecular PathologyUniversity Hospital Zurich, University of ZurichZurichSwitzerland
- Life Science Zurich Graduate School, PhD Program in BiomedicineUniversity of ZurichZurichSwitzerland
| | | | | | - Mark A Glaire
- Nuffield Department of MedicineUniversity of OxfordOxfordUK
| | - Faiz Jabbar
- Nuffield Department of MedicineUniversity of OxfordOxfordUK
| | - Luciana Gneo
- Nuffield Department of MedicineUniversity of OxfordOxfordUK
| | | | - Andrea Harkin
- Cancer Research UK Glasgow Clinical Trials UnitUniversity of GlasgowGlasgowUK
| | - Tim J Iveson
- Southampton University Hospital NHS Foundation TrustSouthamptonUK
| | | | - Karin Oein
- Glasgow Tissue Research FacilityUniversity of Glasgow, Queen Elizabeth University HospitalGlasgowUK
| | - Noori Maka
- Glasgow Tissue Research FacilityUniversity of Glasgow, Queen Elizabeth University HospitalGlasgowUK
| | - Francesco Pezella
- Nuffield Division of Clinical Laboratory SciencesUniversity of OxfordOxfordUK
| | | | - Jennifer Hay
- Glasgow Tissue Research FacilityUniversity of Glasgow, Queen Elizabeth University HospitalGlasgowUK
| | | | - Owen J Sansom
- School of Cancer SciencesUniversity of GlasgowGlasgowUK
- Cancer Research UK Beatson InstituteGlasgowUK
- Cancer Research UK Scotland CentreEdinburgh and GlasgowUK
| | - Caroline Kelly
- Cancer Research UK Glasgow Clinical Trials UnitUniversity of GlasgowGlasgowUK
| | | | - Wanja Kildal
- Institute for Cancer Genetics and InformaticsOslo University HospitalOsloNorway
| | | | - David J Kerr
- Nuffield Division of Clinical Laboratory SciencesUniversity of OxfordOxfordUK
| | - Håvard E Danielsen
- Nuffield Division of Clinical Laboratory SciencesUniversity of OxfordOxfordUK
- Institute for Cancer Genetics and InformaticsOslo University HospitalOsloNorway
- Department of InformaticsUniversity of OsloOsloNorway
| | - Enric Domingo
- Department of OncologyUniversity of OxfordOxfordUK
- Cancer Research UK Scotland CentreEdinburgh and GlasgowUK
| | | | - David N Church
- Nuffield Department of MedicineUniversity of OxfordOxfordUK
- Oxford NIHR Comprehensive Biomedical Research CentreOxford University Hospitals NHS Foundation TrustOxfordUK
| | - Viktor H Koelzer
- Department of Pathology and Molecular PathologyUniversity Hospital Zurich, University of ZurichZurichSwitzerland
- Nuffield Department of MedicineUniversity of OxfordOxfordUK
- Department of OncologyUniversity of OxfordOxfordUK
| |
Collapse
|
23
|
Khanduri I, Maki H, Verma A, Katkhuda R, Anandappa G, Pandurengan R, Zhang S, Mejia A, Tong Z, Soto LMS, Jadhav A, Wistuba II, Kopetz S, Parra ER, Vauthey JN, Maru DM. New Insights into Macrophage Polarization and its Prognostic Role in Patients with Colorectal Cancer Liver Metastasis. RESEARCH SQUARE 2023:rs.3.rs-3439308. [PMID: 37886575 PMCID: PMC10602157 DOI: 10.21203/rs.3.rs-3439308/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Background As liver metastasis is the most common cause of mortality in patients with colorectal cancer, studying colorectal cancer liver metastasis (CLM) microenvironment is essential for improved understanding of tumor biology and to identify novel therapeutic targets. Methods We used multiplex immunofluorescence platform to study tumor associated macrophage (TAM) polarization and adaptive T cell subtypes in tumor samples from 105 CLM patients (49 without and 56 with preoperative chemotherapy). Results CLM exhibited M2 macrophage polarization, and helper T cells were the prevalent adaptive T cell subtype. The density of total, M2 and TGFβ-expressing macrophages, and regulatory T cells was lower in CLM treated with preoperative chemotherapy. CLM with right-sided primary demonstrated enrichment of TGFβ-expressing macrophages, and with left-sided primary had higher densities of helper and cytotoxic T cells. In multivariate analysis, high density of M2 macrophages correlated with longer recurrence-free survival (RFS) in the entire cohort [hazard ratio (HR) 0.425, 95% CI 0.219-0.825, p=0.011) and in patients without preoperative chemotherapy (HR 0.45, 95% CI 0.221-0.932, p=0.032). High pSMAD3-expressing macrophages were associated with shorter RFS in CLM after preoperative chemotherapy. Conclusions Our results highlight the significance of a multi-marker approach to define the macrophage subtypes and identify M2 macrophages as a predictor of favorable prognosis in CLM.
Collapse
Affiliation(s)
| | | | | | | | | | | | - Shanyu Zhang
- The University of Texas MD Anderson Cancer Center
| | - Alicia Mejia
- The University of Texas MD Anderson Cancer Center
| | - Zhimin Tong
- The University of Texas MD Anderson Cancer Center
| | | | | | | | - Scott Kopetz
- The University of Texas MD Anderson Cancer Center
| | | | | | - Dipen M Maru
- The University of Texas MD Anderson Cancer Center
| |
Collapse
|
24
|
Blyth RRR, Birts CN, Beers SA. The role of three-dimensional in vitro models in modelling the inflammatory microenvironment associated with obesity in breast cancer. Breast Cancer Res 2023; 25:104. [PMID: 37697381 PMCID: PMC10494415 DOI: 10.1186/s13058-023-01700-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 08/16/2023] [Indexed: 09/13/2023] Open
Abstract
Obesity is an established risk factor for breast cancer in postmenopausal women. However, the underlying biological mechanisms of how obesity contributes to breast cancer remains unclear. The inflammatory adipose microenvironment is central to breast cancer progression and has been shown to favour breast cancer cell growth and to reduce efficacy of anti-cancer treatments. Thus, it is imperative to further our understanding of the inflammatory microenvironment seen in breast cancer patients with obesity. Three-dimensional (3D) in vitro models offer a key tool in increasing our understanding of such complex interactions within the adipose microenvironment. This review discusses some of the approaches utilised to recapitulate the breast tumour microenvironment, including various co-culture and 3D in vitro models. We consider how these model systems contribute to the understanding of breast cancer research, with particular focus on the inflammatory tumour microenvironment. This review aims to provide insight and prospective future directions on the utility of such model systems for breast cancer research.
Collapse
Affiliation(s)
- Rhianna Rachael Romany Blyth
- Antibody and Vaccine Group, Centre for Cancer Immunology, School of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK
| | - Charles N Birts
- Antibody and Vaccine Group, Centre for Cancer Immunology, School of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK
- School of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK
- Institute for Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK
| | - Stephen A Beers
- Antibody and Vaccine Group, Centre for Cancer Immunology, School of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK.
| |
Collapse
|
25
|
Roversi FM, Bueno MLP, da Silva JAF, Assis-Mendonça GR, Saad STO. Optimized multiplex immunofluorescence for the characterization of tumor immune microenvironment in neoplastic paraffin-preserved tissues. J Cell Commun Signal 2023; 17:1055-1065. [PMID: 37191838 PMCID: PMC10409948 DOI: 10.1007/s12079-023-00753-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 04/20/2023] [Indexed: 05/17/2023] Open
Abstract
The study of neoplastic cells enabled the discovery of important tumor-related biomarkers which resulted in new forms of early diagnosis, therapeutic options, and prognostic markers. Thus, immunofluorescence (IF), a high throughput imaging technology, represents a valuable method that enables the virtual characterization and localization of diverse cell types and targets, preserving tissue architecture and spatial surroundings. IF staining and analysis of formalin-fixed paraffin-embedded (FFPE) tissues are considered a challenge due to several difficulties, such as tissue autofluorescence, non-specific antibody binding, and image acquisition and quality. This study aimed to develop a multiplex-fluorescence staining technique with high-contrast and high-quality multiple-color images to enrich the investigation of important biomarkers. We present a robust optimized multiple-immunofluorescence procedure that reduced sample autofluorescence, enabled the use of simultaneous antibodies on the same sample, and showed super-resolution imaging through precise antigen localization. We illustrated the utility of this powerful method in FFPE neoplastic appendix, lymph node and bone marrow biopsies, and a 3D-coculture system, in which cells are enabled to grow and interact with their surroundings in all 3D dimensions. Our optimized multiple-immunofluorescence method represents a powerful tool for better understanding the complexity of tumor cells, characterizing cell populations and spatial localization, revealing predictive and prognostic biomarkers, and identifying immunologic phenotypes in a single and limited sample. This valuable IF protocol successfully enables tumor microenvironment profiling that could contribute to the study of cellular crosstalk and the niche, and to the identification of predictive biomarkers for neoplasms.
Collapse
Affiliation(s)
- Fernanda Marconi Roversi
- Hematology and Transfusion Medicine Center, University of Campinas/Hemocentro-Unicamp, Rua Carlos Chagas, 480 - Cidade Universitária Zeferino Vaz - Barão Geraldo Campinas, São Paulo, CEP: 13083-878, Brazil.
- Department of Surgery Division of Transplantation, Emory University, Atlanta, GA, USA.
| | - Maura Lima Pereira Bueno
- Hematology and Transfusion Medicine Center, University of Campinas/Hemocentro-Unicamp, Rua Carlos Chagas, 480 - Cidade Universitária Zeferino Vaz - Barão Geraldo Campinas, São Paulo, CEP: 13083-878, Brazil
| | | | | | - Sara Teresinha Olalla Saad
- Hematology and Transfusion Medicine Center, University of Campinas/Hemocentro-Unicamp, Rua Carlos Chagas, 480 - Cidade Universitária Zeferino Vaz - Barão Geraldo Campinas, São Paulo, CEP: 13083-878, Brazil
| |
Collapse
|
26
|
Konen JM, Rodriguez BL, Wu H, Fradette JJ, Gibson L, Diao L, Wang J, Schmidt S, Wistuba II, Zhang J, Gibbons DL. Autotaxin suppresses cytotoxic T cells via LPAR5 to promote anti-PD-1 resistance in non-small cell lung cancer. J Clin Invest 2023; 133:e163128. [PMID: 37655662 PMCID: PMC10471170 DOI: 10.1172/jci163128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 07/13/2023] [Indexed: 09/02/2023] Open
Abstract
Non-small cell lung cancers that harbor concurrent KRAS and TP53 (KP) mutations are immunologically warm tumors with partial responsiveness to anti-PD-(L)1 blockade; however, most patients observe little or no durable clinical benefit. To identify novel tumor-driven resistance mechanisms, we developed a panel of KP murine lung cancer models with intrinsic resistance to anti-PD-1 and queried differential gene expression between these tumors and anti-PD-1-sensitive tumors. We found that the enzyme autotaxin (ATX), and the metabolite it produces, lysophosphatidic acid (LPA), were significantly upregulated in resistant tumors and that ATX directly modulated antitumor immunity, with its expression negatively correlating with total and effector tumor-infiltrating CD8+ T cells. Pharmacological inhibition of ATX, or the downstream receptor LPAR5, in combination with anti-PD-1 was sufficient to restore the antitumor immune response and efficaciously control lung tumor growth in multiple KP tumor models. Additionally, ATX was significantly correlated with inflammatory gene signatures, including a CD8+ cytolytic score in multiple lung adenocarcinoma patient data sets, suggesting that an activated tumor-immune microenvironment upregulates ATX and thus provides an opportunity for cotargeting to prevent acquired resistance to anti-PD-1 treatment. These data reveal the ATX/LPA axis as an immunosuppressive pathway that diminishes the immune checkpoint blockade response in lung cancer.
Collapse
Affiliation(s)
- Jessica M. Konen
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Hematology and Medical Oncology, Emory University, Atlanta, Georgia, USA
| | - B. Leticia Rodriguez
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Haoyi Wu
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jared J. Fradette
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Laura Gibson
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Surgical Oncology
| | - Lixia Diao
- Department of Bioinformatics and Computational Biology
| | - Jing Wang
- Department of Bioinformatics and Computational Biology
| | | | - Ignacio I. Wistuba
- Department of Translational Molecular Pathology, Division of Pathology/Lab Medicine, and
| | - Jianjun Zhang
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Don L. Gibbons
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Molecular and Cellular Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| |
Collapse
|
27
|
Khanduri I, Maru DM, Parra ER. Exploratory study of macrophage polarization and spatial distribution in colorectal cancer liver metastasis: a pilot study. Front Immunol 2023; 14:1223864. [PMID: 37637998 PMCID: PMC10449458 DOI: 10.3389/fimmu.2023.1223864] [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: 05/18/2023] [Accepted: 07/27/2023] [Indexed: 08/29/2023] Open
Abstract
Background The liver is the most typical site of metastatic disease for patients with colorectal cancer (CRC), and up to half the patients with CRC will develop colorectal liver metastasis (CLM). Studying the tumor microenvironment, particularly macrophages and their spatial distribution, can give us critical insight into treatment. Methods Ten CLMs (five treatment-naïve and five post-neoadjuvant chemotherapy) were stained with multiplex immunofluorescence panels against cytokeratins, CD68, Arg1, CD206, CD86, CD163, PD-L1, and MRP8-14. Densities of cell phenotypes and their spatial distribution in the tumor center and the normal liver-tumor interface were correlated with clinicopathological variables. Results M2 macrophages were the predominant subtype in both the tumor center and the periphery, with a relatively higher density at the periphery. The larger tumors, more than 3.9 cm, were associated with higher densities of total CD68+ macrophages and CD68+CD163+ CD206neg and CD68+CD206+ CD163neg M2 macrophage subtypes. Total macrophages in the tumor periphery demonstrated significantly greater proximity to malignant cells than did those in the tumor center (p=0.0371). The presence of higher than median CD68+MRP8-14+CD86neg M1 macrophages in the tumor center was associated with poor overall survival (median 2.34 years) compared to cases with lower than median M1 macrophages at the tumor center (median 6.41 years) in univariate analysis. Conclusion The dominant polarization of the M2 macrophage subtype could drive new therapeutic approaches in CLM patients.
Collapse
Affiliation(s)
- Isha Khanduri
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Dipen M. Maru
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Edwin R. Parra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| |
Collapse
|
28
|
Daroonpan P, Ouchi R, Zhang C, Nagai S, Nishii N, Kashima Y, Tsushima F, Harada H, Hamagaki M, Ikeda T, Aida J, Kaomongkolgit R, Azuma M. Personal immune profiles: Diversity and prognostic value for oral tongue squamous cell carcinoma evaluated by comprehensive immune parameter analyses with multiplex immunofluorescence. Oral Oncol 2023; 143:106458. [PMID: 37329869 DOI: 10.1016/j.oraloncology.2023.106458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 05/31/2023] [Accepted: 06/03/2023] [Indexed: 06/19/2023]
Abstract
OBJECTIVES Understanding the tumor immune microenvironment is becoming increasingly necessary for risk prediction and treatment selection. In particular, oral cancer has various immunosuppressive characteristics in the tumor microenvironment. Therefore, we comprehensively assessed the immune profiles of oral tongue squamous cell carcinoma (OTSCC). MATERIALS AND METHODS Multiplex immunofluorescence and tissue imaging analyses were performed to evaluate immune profiles at the invasive tumor front of 60 OTSCC surgical specimens. We analyzed 58 immune parameters including the density and proportion (%) of total leukocytes (Leu) and T cells, six subsets of T and myeloid cells, and the expression of programmed cell death-1 (PD-1) and PD-1 ligand 1 (PD-L1). RESULTS The density, proportion, and location of CD45+ Leu, three T cell subsets (CD8+, Foxp3-CD4+ conventional, and Foxp3+CD4+ regulatory T cells), CD163-CD68+ M1 and CD163+CD68+ M2 macrophages, and neutrophils were highly variable at the individual level. The density and proportion of M2 macrophages were significantly lower in the T1 stage group. Risk prediction analyses for recurrence and/or metastasis (R/M) showed that R/M (+) T1 cases had significantly higher M2 density and percentages. CONCLUSIONS The immune profiles of OTSCC patients are diverse and cannot be predicted from clinicopathological information alone. The M2 macrophage abundance is a potential candidate biomarker for R/M in the early stage of OTSCC. Personal immune profiling may provide beneficial information for risk prediction and treatment selection.
Collapse
Affiliation(s)
- Pissacha Daroonpan
- Departments of Molecular Immunology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8549, Japan; Department of Oral Diagnosis, Naresuan University, Tha Pho, Mueang Phitsanulok District, Phitsanulok 65000, Thailand
| | - Ryo Ouchi
- Departments of Molecular Immunology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8549, Japan
| | - Chenyang Zhang
- Departments of Molecular Immunology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8549, Japan
| | - Shigenori Nagai
- Departments of Molecular Immunology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8549, Japan
| | - Naoto Nishii
- Departments of Oral and Maxillofacial Surgical Oncology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8549, Japan
| | - Yoshihisa Kashima
- Departments of Oral and Maxillofacial Surgical Oncology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8549, Japan
| | - Fumihiko Tsushima
- Departments of Oral and Maxillofacial Surgical Oncology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8549, Japan
| | - Hiroyuki Harada
- Departments of Oral and Maxillofacial Surgical Oncology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8549, Japan
| | - Miwako Hamagaki
- Departments of Oral Pathology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8549, Japan
| | - Tohru Ikeda
- Departments of Oral Pathology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8549, Japan
| | - Jun Aida
- Departments of Oral Health Promotion, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8549, Japan
| | - Ruchadaporn Kaomongkolgit
- Department of Oral Diagnosis, Naresuan University, Tha Pho, Mueang Phitsanulok District, Phitsanulok 65000, Thailand
| | - Miyuki Azuma
- Departments of Molecular Immunology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8549, Japan.
| |
Collapse
|
29
|
Wu KZ, Adine C, Mitriashkin A, Aw BJJ, Iyer NG, Fong ELS. Making In Vitro Tumor Models Whole Again. Adv Healthc Mater 2023; 12:e2202279. [PMID: 36718949 DOI: 10.1002/adhm.202202279] [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: 09/06/2022] [Revised: 01/04/2023] [Indexed: 02/01/2023]
Abstract
As a reductionist approach, patient-derived in vitro tumor models are inherently still too simplistic for personalized drug testing as they do not capture many characteristics of the tumor microenvironment (TME), such as tumor architecture and stromal heterogeneity. This is especially problematic for assessing stromal-targeting drugs such as immunotherapies in which the density and distribution of immune and other stromal cells determine drug efficacy. On the other end, in vivo models are typically costly, low-throughput, and time-consuming to establish. Ex vivo patient-derived tumor explant (PDE) cultures involve the culture of resected tumor fragments that potentially retain the intact TME of the original tumor. Although developed decades ago, PDE cultures have not been widely adopted likely because of their low-throughput and poor long-term viability. However, with growing recognition of the importance of patient-specific TME in mediating drug response, especially in the field of immune-oncology, there is an urgent need to resurrect these holistic cultures. In this Review, the key limitations of patient-derived tumor explant cultures are outlined and technologies that have been developed or could be employed to address these limitations are discussed. Engineered holistic tumor explant cultures may truly realize the concept of personalized medicine for cancer patients.
Collapse
Affiliation(s)
- Kenny Zhuoran Wu
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, 119276, Singapore
| | - Christabella Adine
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, 119276, Singapore
| | - Aleksandr Mitriashkin
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, 119276, Singapore
| | - Benjamin Jun Jie Aw
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, 119276, Singapore
| | - N Gopalakrishna Iyer
- Department of Head and Neck Surgery, Division of Surgery and Surgical Oncology, Duke-NUS Medical School, Singapore, 169857, Singapore
- Department of Head and Neck Surgery, National Cancer Centre Singapore, Singapore, 169610, Singapore
| | - Eliza Li Shan Fong
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, 119276, Singapore
- The N.1 Institute for Health, National University of Singapore, Singapore, 117456, Singapore
- Cancer Science Institute (CSI), National University of Singapore, Singapore, 117599, Singapore
| |
Collapse
|
30
|
Wu E, Trevino AE, Wu Z, Swanson K, Kim HJ, D’Angio HB, Preska R, Chiou AE, Charville GW, Dalerba P, Duvvuri U, Colevas AD, Levi J, Bedi N, Chang S, Sunwoo J, Egloff AM, Uppaluri R, Mayer AT, Zou J. 7-UP: Generating in silico CODEX from a small set of immunofluorescence markers. PNAS NEXUS 2023; 2:pgad171. [PMID: 37275261 PMCID: PMC10236358 DOI: 10.1093/pnasnexus/pgad171] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 05/15/2023] [Indexed: 06/07/2023]
Abstract
Multiplex immunofluorescence (mIF) assays multiple protein biomarkers on a single tissue section. Recently, high-plex CODEX (co-detection by indexing) systems enable simultaneous imaging of 40+ protein biomarkers, unlocking more detailed molecular phenotyping, leading to richer insights into cellular interactions and disease. However, high-plex data can be slower and more costly to collect, limiting its applications, especially in clinical settings. We propose a machine learning framework, 7-UP, that can computationally generate in silico 40-plex CODEX at single-cell resolution from a standard 7-plex mIF panel by leveraging cellular morphology. We demonstrate the usefulness of the imputed biomarkers in accurately classifying cell types and predicting patient survival outcomes. Furthermore, 7-UP's imputations generalize well across samples from different clinical sites and cancer types. 7-UP opens the possibility of in silico CODEX, making insights from high-plex mIF more widely available.
Collapse
Affiliation(s)
| | | | - Zhenqin Wu
- Enable Medicine, Menlo Park, CA 94025, USA
- Department of Chemistry, Stanford University, Stanford, CA 94305, USA
| | - Kyle Swanson
- Department of Computer Science, Stanford University, Stanford, CA 94305, USA
| | | | | | | | | | | | - Piero Dalerba
- Department of Pathology and Cell Biology, Columbia University, New York, NY 10027, USA
| | - Umamaheswar Duvvuri
- Department of Otolaryngology, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | | | - Jelena Levi
- CellSight Technologies, San Francisco, CA 94107, USA
| | - Nikita Bedi
- Department of Otolaryngology-Head and Neck Surgery, Stanford University, Stanford, CA 94305, USA
| | - Serena Chang
- Department of Otolaryngology-Head and Neck Surgery, Stanford University, Stanford, CA 94305, USA
| | - John Sunwoo
- Department of Otolaryngology-Head and Neck Surgery, Stanford University, Stanford, CA 94305, USA
| | - Ann Marie Egloff
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Ravindra Uppaluri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Aaron T Mayer
- To whom correspondence should be addressed: (A.E.T.); (A.T.M.); (J.Z.)
| | - James Zou
- To whom correspondence should be addressed: (A.E.T.); (A.T.M.); (J.Z.)
| |
Collapse
|
31
|
Park SM, Chen CJJ, Mathy JE, Lin SCY, Martin RCW, Mathy JA, Dunbar PR. Seven-colour multiplex immunochemistry/immunofluorescence and whole slide imaging of frozen sections. J Immunol Methods 2023:113490. [PMID: 37172777 DOI: 10.1016/j.jim.2023.113490] [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: 04/03/2023] [Revised: 05/09/2023] [Accepted: 05/09/2023] [Indexed: 05/15/2023]
Abstract
Multiplex Immunochemistry/Immunofluorescence (mIHC/IF) aims to visualise multiple biomarkers in a single tissue section and is especially powerful when used on slide scanners coupled with digital analysis tools. mIHC/IF is commonly employed in immuno-oncology to characterise features of the tumour microenvironment (TME) and correlate them with clinical parameters to guide prognostication and therapy. However, mIHC/IF can be applied to a wide range of organisms in any physiological or disease context. Recent innovation has extended the number of markers that can be detected using slide scanners well beyond the 3-4 markers typically reported in traditional fluorescence microscopy. However, these methods often require sequential antibody staining and stripping, and are not compatible with frozen tissue sections. Using fluorophore-conjugated antibodies, we have established a simple mIHC/IF imaging workflow that enables simultaneous staining and detection of seven markers in a single section of frozen tissue. Coupled with automated whole slide imaging and digital quantification, our data efficiently revealed the tumour-immune complexity in metastatic melanoma. Computational image analysis quantified the immune and stromal cell populations present in the TME as well as their spatial interactions. This imaging workflow can also be performed with an indirect labelling panel consisting of primary and secondary antibodies. Our new methods, combined with digital quantification, will provide a valuable tool for high-quality mIHC/IF assays in immuno-oncology research and other translational studies, especially in circumstances where frozen sections are required for detection of particular markers, or for applications where frozen sections may be preferred, such as spatial transcriptomics.
Collapse
Affiliation(s)
- Saem Mul Park
- School of Biological Sciences, University of Auckland, Auckland, New Zealand; Maurice Wilkins Centre, University of Auckland, Auckland, New Zealand
| | - Chun-Jen J Chen
- School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Joanna E Mathy
- School of Biological Sciences, University of Auckland, Auckland, New Zealand; Maurice Wilkins Centre, University of Auckland, Auckland, New Zealand
| | - Shelly C Y Lin
- School of Biological Sciences, University of Auckland, Auckland, New Zealand; Maurice Wilkins Centre, University of Auckland, Auckland, New Zealand
| | | | - Jon A Mathy
- Department of Surgery, Faculty of Medical Health Sciences, Waipapa Taumata Rau - The University of Auckland, Auckland, New Zealand; Auckland Regional Plastic, Reconstructive & Hand Surgery Unit, Auckland, New Zealand
| | - P Rod Dunbar
- School of Biological Sciences, University of Auckland, Auckland, New Zealand; Maurice Wilkins Centre, University of Auckland, Auckland, New Zealand.
| |
Collapse
|
32
|
Pakula H, Omar M, Carelli R, Pederzoli F, Fanelli GN, Pannellini T, Van Emmenis L, Rodrigues S, Fidalgo-Ribeiro C, Nuzzo PV, Brady NJ, Jere M, Unkenholz C, Alexanderani MK, Khani F, de Almeida FN, Abate-Shen C, Greenblatt MB, Rickman DS, Barbieri CE, Robinson BD, Marchionni L, Loda M. Distinct mesenchymal cell states mediate prostate cancer progression. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.29.534769. [PMID: 37034687 PMCID: PMC10081210 DOI: 10.1101/2023.03.29.534769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Alterations in tumor stroma influence prostate cancer progression and metastatic potential. However, the molecular underpinnings of this stromal-epithelial crosstalk are largely unknown. Here, we compare mesenchymal cells from four genetically engineered mouse models (GEMMs) of prostate cancer representing different stages of the disease to their wild-type (WT) counterparts by single-cell RNA sequencing (scRNA-seq) and, ultimately, to human tumors with comparable genotypes. We identified 8 transcriptionally and functionally distinct stromal populations responsible for common and GEMM-specific transcriptional programs. We show that stromal responses are conserved in mouse models and human prostate cancers with the same genomic alterations. We noted striking similarities between the transcriptional profiles of the stroma of murine models of advanced disease and those of of human prostate cancer bone metastases. These profiles were then used to build a robust gene signature that can predict metastatic progression in prostate cancer patients with localized disease and is also associated with progression-free survival independent of Gleason score. Taken together, this offers new evidence that stromal microenvironment mediates prostate cancer progression, further identifying tissue-based biomarkers and potential therapeutic targets of aggressive and metastatic disease.
Collapse
Affiliation(s)
- Hubert Pakula
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Mohamed Omar
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Ryan Carelli
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Filippo Pederzoli
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Giuseppe Nicolò Fanelli
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
- Department of Laboratory Medicine, Pisa University Hospital, Division of Pathology, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa 56126, Italy
| | - Tania Pannellini
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Lucie Van Emmenis
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Silvia Rodrigues
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Caroline Fidalgo-Ribeiro
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Pier V. Nuzzo
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Nicholas J. Brady
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Madhavi Jere
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Caitlin Unkenholz
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Mohammad K. Alexanderani
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Francesca Khani
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, Belfer Research Building, 413 East 69th Street, New York, NY 10021, USA
- Department of Urology, Weill Cornell Medicine, New York, NY 10021, USA
| | - Francisca Nunes de Almeida
- Departments of Molecular Pharmacology and Therapeutics, Urology, Medicine, Pathology & Cell Biology and Systems Biology, Herbert Irving Comprehensive Cancer Center, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Cory Abate-Shen
- Departments of Molecular Pharmacology and Therapeutics, Urology, Medicine, Pathology & Cell Biology and Systems Biology, Herbert Irving Comprehensive Cancer Center, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Matthew B Greenblatt
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - David S. Rickman
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Christopher E. Barbieri
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, Belfer Research Building, 413 East 69th Street, New York, NY 10021, USA
- Department of Urology, Weill Cornell Medicine, New York, NY 10021, USA
| | - Brian D. Robinson
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, Belfer Research Building, 413 East 69th Street, New York, NY 10021, USA
- Department of Urology, Weill Cornell Medicine, New York, NY 10021, USA
| | - Luigi Marchionni
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Massimo Loda
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, Belfer Research Building, 413 East 69th Street, New York, NY 10021, USA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, 450 Brookline Ave, Boston, MA, 02215, USA
| |
Collapse
|
33
|
Chakiryan NH, Kim Y, Berglund A, Chang A, Kimmel GJ, Hajiran A, Nguyen J, Moran-Segura C, Saeed-Vafa D, Katende EN, Lopez-Blanco N, Chahoud J, Rappold P, Spiess PE, Fournier M, Jeong D, Wang L, Teer JK, Dhillon J, Kuo F, Hakimi AA, Altrock PM, Mulé JJ, Manley BJ. Geospatial characterization of immune cell distributions and dynamics across the microenvironment in clear cell renal cell carcinoma. J Immunother Cancer 2023; 11:jitc-2022-006195. [PMID: 37185232 PMCID: PMC10151991 DOI: 10.1136/jitc-2022-006195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/30/2023] [Indexed: 05/17/2023] Open
Abstract
INTRODUCTION In clear cell renal cell carcinoma (ccRCC), tumor-associated macrophage (TAM) induction of CD8+T cells into a terminally exhausted state has been implicated as a major mechanism of immunotherapy resistance, but a deeper biological understanding is necessary. METHODS Primary ccRCC tumor samples were obtained from 97 patients between 2004 and 2018. Multiplex immunofluorescence using lymphoid and myeloid markers was performed in seven regions of interest per patient across three predefined zones, and geospatial analysis was performed using Ripley's K analysis, a methodology adapted from ecology. RESULTS Clustering of CD163+M2 like TAMs into the stromal compartment at the tumor-stroma interface was associated with worse clinical stage (tumor/CD163+nK(75): stage I/II: 4.4 (IQR -0.5 to 5.1); stage III: 1.4 (IQR -0.3 to 3.5); stage IV: 0.6 (IQR -2.1 to 2.1); p=0.04 between stage I/II and stage IV), and worse overall survival (OS) and cancer-specific survival (CSS) (tumor/CD163+nK(75): median OS-hi=149 months, lo=86 months, false-discovery rate (FDR)-adj. Cox p<0.001; median CSS-hi=174 months, lo=85 months; FDR-adj. Cox p<0.001). An RNA-seq differential gene expression score was developed using this geospatial metric, and was externally validated in multiple independent cohorts of patients with ccRCC including: TCGA KIRC, and the IMmotion151, IMmotion150, and JAVELIN Renal 101 clinical trials. In addition, this CD163+ geospatial pattern was found to be associated with a higher TIM-3+ proportion of CD8+T cells, indicative of terminal exhaustion (tumor-core: 0.07 (IQR 0.04-0.14) vs 0.40 (IQR 0.15-0.66), p=0.05). CONCLUSIONS Geospatial clustering of CD163+M2 like TAMs into the stromal compartment at the tumor-stromal interface was associated with poor clinical outcomes and CD8+T cell terminal exhaustion.
Collapse
Affiliation(s)
- Nicholas H Chakiryan
- Department of Genitourinary Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
- Translational Oncology, Oregon Health & Science University Knight Cancer Institute, Portland, Oregon, USA
| | - Youngchul Kim
- Biostatistics and Bioinformatics, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Anders Berglund
- Biostatistics and Bioinformatics, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Andrew Chang
- Department of Genitourinary Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Gregory J Kimmel
- Integrated Mathematical Oncology Department, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Ali Hajiran
- Department of Genitourinary Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Jonathan Nguyen
- Department of Pathology, H Lee Moffitt Cancer Center, Tampa, Florida, USA
| | | | | | - Esther N Katende
- Department of Genitourinary Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Neale Lopez-Blanco
- Department of Pathology, H Lee Moffitt Cancer Center, Tampa, Florida, USA
| | - Jad Chahoud
- Department of Genitourinary Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Phillip Rappold
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Philippe E Spiess
- Department of Genitourinary Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Michelle Fournier
- Tissue Core, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Daniel Jeong
- Department of Radiology, H Lee Moffitt Cancer Center, Tampa, Florida, USA
| | - Liang Wang
- Department of Tumor Biology, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Jamie K Teer
- Biostatistics and Bioinformatics, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Jasreman Dhillon
- Department of Pathology, H Lee Moffitt Cancer Center, Tampa, Florida, USA
| | - Fengshen Kuo
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Abraham Ari Hakimi
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Philipp M Altrock
- Department of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Ploen, Germany
| | - James J Mulé
- Department of Immunology, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
- Radiation Oncology Program, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
- Cutaneous Oncology Program, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Brandon J Manley
- Department of Genitourinary Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
- Integrated Mathematical Oncology Department, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| |
Collapse
|
34
|
Jiménez-Sánchez D, López-Janeiro Á, Villalba-Esparza M, Ariz M, Kadioglu E, Masetto I, Goubert V, Lozano MD, Melero I, Hardisson D, Ortiz-de-Solórzano C, de Andrea CE. Weakly supervised deep learning to predict recurrence in low-grade endometrial cancer from multiplexed immunofluorescence images. NPJ Digit Med 2023; 6:48. [PMID: 36959234 PMCID: PMC10036616 DOI: 10.1038/s41746-023-00795-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 03/10/2023] [Indexed: 03/25/2023] Open
Abstract
Predicting recurrence in low-grade, early-stage endometrial cancer (EC) is both challenging and clinically relevant. We present a weakly-supervised deep learning framework, NaroNet, that can learn, without manual expert annotation, the complex tumor-immune interrelations at three levels: local phenotypes, cellular neighborhoods, and tissue areas. It uses multiplexed immunofluorescence for the simultaneous visualization and quantification of CD68 + macrophages, CD8 + T cells, FOXP3 + regulatory T cells, PD-L1/PD-1 protein expression, and tumor cells. We used 489 tumor cores from 250 patients to train a multilevel deep-learning model to predict tumor recurrence. Using a tenfold cross-validation strategy, our model achieved an area under the curve of 0.90 with a 95% confidence interval of 0.83-0.95. Our model predictions resulted in concordance for 96,8% of cases (κ = 0.88). This method could accurately assess the risk of recurrence in EC, outperforming current prognostic factors, including molecular subtyping.
Collapse
Affiliation(s)
- Daniel Jiménez-Sánchez
- Program of Solid Tumors and Biomarkers, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain
- Department of Pathology, Clínica Universidad de Navarra, Pamplona, Spain
| | - Álvaro López-Janeiro
- Department of Pathology, Clínica Universidad de Navarra, Pamplona, Spain
- Department of Pathology, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain
| | - María Villalba-Esparza
- Department of Pathology, Clínica Universidad de Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdISNA), Pamplona, Spain
| | - Mikel Ariz
- Program of Solid Tumors and Biomarkers, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdISNA), Pamplona, Spain
| | - Ece Kadioglu
- Lunaphore Technologies SA, Tolochenaz, Switzerland
| | | | | | - Maria D Lozano
- Department of Pathology, Clínica Universidad de Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdISNA), Pamplona, Spain
- Center for Biomedical Research in the Cancer Network (CIBERONC), Madrid, Spain
| | - Ignacio Melero
- Navarra Institute for Health Research (IdISNA), Pamplona, Spain
- Center for Biomedical Research in the Cancer Network (CIBERONC), Madrid, Spain
- Department of Immunology and Immunotherapy, Clínica Universidad de Navarra, Pamplona, Spain
- Program of Immunology and Immunotherapy, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain
| | - David Hardisson
- Department of Pathology, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain
- Center for Biomedical Research in the Cancer Network (CIBERONC), Madrid, Spain
- Molecular Pathology and Therapeutic Targets Group, La Paz University Hospital, IdiPAZ, Madrid, Spain
- Faculty of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Carlos Ortiz-de-Solórzano
- Program of Solid Tumors and Biomarkers, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdISNA), Pamplona, Spain
- Center for Biomedical Research in the Cancer Network (CIBERONC), Madrid, Spain
| | - Carlos E de Andrea
- Department of Pathology, Clínica Universidad de Navarra, Pamplona, Spain.
- Navarra Institute for Health Research (IdISNA), Pamplona, Spain.
- Center for Biomedical Research in the Cancer Network (CIBERONC), Madrid, Spain.
| |
Collapse
|
35
|
Cascone T, Leung CH, Weissferdt A, Pataer A, Carter BW, Godoy MCB, Feldman H, William WN, Xi Y, Basu S, Sun JJ, Yadav SS, Rojas Alvarez FR, Lee Y, Mishra AK, Chen L, Pradhan M, Guo H, Sinjab A, Zhou N, Negrao MV, Le X, Gay CM, Tsao AS, Byers LA, Altan M, Glisson BS, Fossella FV, Elamin YY, Blumenschein G, Zhang J, Skoulidis F, Wu J, Mehran RJ, Rice DC, Walsh GL, Hofstetter WL, Rajaram R, Antonoff MB, Fujimoto J, Solis LM, Parra ER, Haymaker C, Wistuba II, Swisher SG, Vaporciyan AA, Lin HY, Wang J, Gibbons DL, Jack Lee J, Ajami NJ, Wargo JA, Allison JP, Sharma P, Kadara H, Heymach JV, Sepesi B. Neoadjuvant chemotherapy plus nivolumab with or without ipilimumab in operable non-small cell lung cancer: the phase 2 platform NEOSTAR trial. Nat Med 2023; 29:593-604. [PMID: 36928818 PMCID: PMC10033402 DOI: 10.1038/s41591-022-02189-0] [Citation(s) in RCA: 69] [Impact Index Per Article: 69.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 12/15/2022] [Indexed: 03/18/2023]
Abstract
Neoadjuvant ipilimumab + nivolumab (Ipi+Nivo) and nivolumab + chemotherapy (Nivo+CT) induce greater pathologic response rates than CT alone in patients with operable non-small cell lung cancer (NSCLC). The impact of adding ipilimumab to neoadjuvant Nivo+CT is unknown. Here we report the results and correlates of two arms of the phase 2 platform NEOSTAR trial testing neoadjuvant Nivo+CT and Ipi+Nivo+CT with major pathologic response (MPR) as the primary endpoint. MPR rates were 32.1% (7/22, 80% confidence interval (CI) 18.7-43.1%) in the Nivo+CT arm and 50% (11/22, 80% CI 34.6-61.1%) in the Ipi+Nivo+CT arm; the primary endpoint was met in both arms. In patients without known tumor EGFR/ALK alterations, MPR rates were 41.2% (7/17) and 62.5% (10/16) in the Nivo+CT and Ipi+Nivo+CT groups, respectively. No new safety signals were observed in either arm. Single-cell sequencing and multi-platform immune profiling (exploratory endpoints) underscored immune cell populations and phenotypes, including effector memory CD8+ T, B and myeloid cells and markers of tertiary lymphoid structures, that were preferentially increased in the Ipi+Nivo+CT cohort. Baseline fecal microbiota in patients with MPR were enriched with beneficial taxa, such as Akkermansia, and displayed reduced abundance of pro-inflammatory and pathogenic microbes. Neoadjuvant Ipi+Nivo+CT enhances pathologic responses and warrants further study in operable NSCLC. (ClinicalTrials.gov registration: NCT03158129 .).
Collapse
Affiliation(s)
- Tina Cascone
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Cheuk H Leung
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Annikka Weissferdt
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Apar Pataer
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Brett W Carter
- Department of Thoracic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Myrna C B Godoy
- Department of Thoracic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hope Feldman
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - William N William
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Hospital BP, a Beneficencia Portuguesa de Sao Paulo, Sao Paulo, Brazil
| | - Yuanxin Xi
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sreyashi Basu
- The Immunotherapy Platform, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jing Jing Sun
- The Immunotherapy Platform, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shalini S Yadav
- The Immunotherapy Platform, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Frank R Rojas Alvarez
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Younghee Lee
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Aditya K Mishra
- Platform for Innovative Microbiome and Translational Research (PRIME-TR), Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lili Chen
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Monika Pradhan
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Haiping Guo
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ansam Sinjab
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nicolas Zhou
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marcelo V Negrao
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xiuning Le
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Carl M Gay
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anne S Tsao
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lauren Averett Byers
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mehmet Altan
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bonnie S Glisson
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Frank V Fossella
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yasir Y Elamin
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - George Blumenschein
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianjun Zhang
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ferdinandos Skoulidis
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jia Wu
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Reza J Mehran
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David C Rice
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Garrett L Walsh
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wayne L Hofstetter
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ravi Rajaram
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mara B Antonoff
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luisa M Solis
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Edwin R Parra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Cara Haymaker
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ignacio I Wistuba
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Stephen G Swisher
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ara A Vaporciyan
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Heather Y Lin
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Don L Gibbons
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - J Jack Lee
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nadim J Ajami
- Platform for Innovative Microbiome and Translational Research (PRIME-TR), Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jennifer A Wargo
- Platform for Innovative Microbiome and Translational Research (PRIME-TR), Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - James P Allison
- The Immunotherapy Platform, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Padmanee Sharma
- The Immunotherapy Platform, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Humam Kadara
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Boris Sepesi
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| |
Collapse
|
36
|
Bubak AN, Merle L, Niemeyer CS, Baxter BD, Gentile Polese A, Ramakrishnan V, Gomez J, Madrigal L, Villegas-Lanau A, Lopera F, Macklin W, Frietze S, Nagel MA, Restrepo D. Signatures for viral infection and inflammation in the proximal olfactory system in familial Alzheimer's disease. Neurobiol Aging 2023; 123:75-82. [PMID: 36638683 PMCID: PMC9889108 DOI: 10.1016/j.neurobiolaging.2022.12.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 12/07/2022] [Accepted: 12/08/2022] [Indexed: 12/15/2022]
Abstract
Alzheimer's disease (AD) is characterized by deficits in olfaction and olfactory pathology preceding diagnosis of dementia. Here we analyzed differential gene and protein expression in the olfactory bulb (OB) and tract (OT) of familial AD (FAD) individuals carrying the autosomal dominant presenilin 1 E280A mutation. Compared to control, FAD OT had increased immunostaining for β-amyloid (Aβ) and CD68 in high and low myelinated regions, as well as increased immunostaining for Iba1 in the high myelinated region. In FAD samples, RNA sequencing showed: (1) viral infection in the OB; (2) inflammation in the OT that carries information via entorhinal cortex from the OB to hippocampus, a brain region essential for learning and memory; and (3) decreased oligodendrocyte deconvolved transcripts. Interestingly, spatial proteomic analysis confirmed altered myelination in the OT of FAD individuals, implying dysfunction of communication between the OB and hippocampus. These findings raise the possibility that viral infection and associated inflammation and dysregulation of myelination of the olfactory system may disrupt hippocampal function, contributing to acceleration of FAD progression.
Collapse
Affiliation(s)
- Andrew N Bubak
- Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Laetitia Merle
- Department of Cell and Developmental Biology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Christy S Niemeyer
- Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - B Dnate' Baxter
- Department of Cell and Developmental Biology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Arianna Gentile Polese
- Department of Cell and Developmental Biology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Vijay Ramakrishnan
- Department of Otolaryngology-Head and Neck Surgery, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Johana Gomez
- Neuroscience Research Group, University of Antioquia, Medellín, Colombia
| | - Lucia Madrigal
- Neuroscience Research Group, University of Antioquia, Medellín, Colombia
| | | | - Francisco Lopera
- Neuroscience Research Group, University of Antioquia, Medellín, Colombia
| | - Wendy Macklin
- Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Neuroscience Graduate Program, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Seth Frietze
- Department of Medical Laboratory Sciences, University of Vermont, Burlington, VT, USA
| | - Maria A Nagel
- Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Opthalmology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Diego Restrepo
- Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Neuroscience Graduate Program, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| |
Collapse
|
37
|
Sheng W, Zhang C, Mohiuddin TM, Al-Rawe M, Zeppernick F, Falcone FH, Meinhold-Heerlein I, Hussain AF. Multiplex Immunofluorescence: A Powerful Tool in Cancer Immunotherapy. Int J Mol Sci 2023; 24:ijms24043086. [PMID: 36834500 PMCID: PMC9959383 DOI: 10.3390/ijms24043086] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 01/26/2023] [Accepted: 01/31/2023] [Indexed: 02/08/2023] Open
Abstract
Traditional immunohistochemistry (IHC) has already become an essential method of diagnosis and therapy in cancer management. However, this antibody-based technique is limited to detecting a single marker per tissue section. Since immunotherapy has revolutionized the antineoplastic therapy, developing new immunohistochemistry strategies to detect multiple markers simultaneously to better understand tumor environment and predict or assess response to immunotherapy is necessary and urgent. Multiplex immunohistochemistry (mIHC)/multiplex immunofluorescence (mIF), such as multiplex chromogenic IHC and multiplex fluorescent immunohistochemistry (mfIHC), is a new and emerging technology to label multiple biomarkers in a single pathological section. The mfIHC shows a higher performance in cancer immunotherapy. This review summarizes the technologies, which are applied for mfIHC, and discusses how they are employed for immunotherapy research.
Collapse
Affiliation(s)
- Wenjie Sheng
- Department of Gynecology and Obstetrics, Medical Faculty, Justus-Liebig-University Giessen, Klinikstr. 33, 35392 Giessen, Germany
| | - Chaoyu Zhang
- Department of Gynecology and Obstetrics, Medical Faculty, Justus-Liebig-University Giessen, Klinikstr. 33, 35392 Giessen, Germany
| | - T. M. Mohiuddin
- Department of Gynecology and Obstetrics, Medical Faculty, Justus-Liebig-University Giessen, Klinikstr. 33, 35392 Giessen, Germany
| | - Marwah Al-Rawe
- Department of Gynecology and Obstetrics, Medical Faculty, Justus-Liebig-University Giessen, Klinikstr. 33, 35392 Giessen, Germany
| | - Felix Zeppernick
- Department of Gynecology and Obstetrics, Medical Faculty, Justus-Liebig-University Giessen, Klinikstr. 33, 35392 Giessen, Germany
| | - Franco H. Falcone
- Institute for Parasitology, Faculty of Veterinary Medicine, Justus Liebig University Giessen, 35392 Giessen, Germany
| | - Ivo Meinhold-Heerlein
- Department of Gynecology and Obstetrics, Medical Faculty, Justus-Liebig-University Giessen, Klinikstr. 33, 35392 Giessen, Germany
| | - Ahmad Fawzi Hussain
- Department of Gynecology and Obstetrics, Medical Faculty, Justus-Liebig-University Giessen, Klinikstr. 33, 35392 Giessen, Germany
- Correspondence:
| |
Collapse
|
38
|
Marafioti T, Lozano MD, de Andrea CE. Characterization of the immune infiltrate in mouse tissue by multiplex immunofluorescence. Methods Cell Biol 2023; 174:43-53. [PMID: 36710050 DOI: 10.1016/bs.mcb.2022.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Multiplexed immunofluorescence imaging of formalin-fixed, paraffin-embedded (FFPE) specimens mounted on glass slides allow the identification of multiple cell phenotypes while retaining spatial and morphological context. Multiplex immunofluorescence protocols have already been developed and validated for mouse tissues. Immunophenotyping analysis reliably depicts the immune landscape of cancer tissues that has been demonstrated to influence cancer development and progression as well as to have an impact on therapy responsiveness and resistance. Here, we describe a method for multiplexed fluorescence image analysis, enabling analysis of mouse cancer morphology and cell phenotypes in FFPE sections.
Collapse
Affiliation(s)
- Teresa Marafioti
- Department of Histopathology, University College London, London, United Kingdom; Department of Cellular Pathology, University College Hospital, London, United Kingdom
| | - Maria D Lozano
- Department of Pathology, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain; Department of Anatomy, Physiology and Pathology, University of Navarra, Pamplona, Spain
| | - Carlos E de Andrea
- Department of Pathology, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain; Department of Anatomy, Physiology and Pathology, University of Navarra, Pamplona, Spain.
| |
Collapse
|
39
|
McMahon NP, Jones JA, Anderson AN, Dietz MS, Wong MH, Gibbs SL. Flexible Cyclic Immunofluorescence (cyCIF) Using Oligonucleotide Barcoded Antibodies. Cancers (Basel) 2023; 15:827. [PMID: 36765785 PMCID: PMC9913741 DOI: 10.3390/cancers15030827] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 01/20/2023] [Accepted: 01/25/2023] [Indexed: 02/03/2023] Open
Abstract
Advances in our understanding of the complex, multifaceted interactions between tumor epithelia, immune infiltrate, and tumor microenvironmental cells have been driven by highly multiplexed imaging technologies. These techniques are capable of labeling many more biomarkers than conventional immunostaining methods. However, multiplexed imaging techniques suffer from low detection sensitivity, cell loss-particularly in fragile samples-, and challenges with antibody labeling. Herein, we developed and optimized an oligonucleotide antibody barcoding strategy for cyclic immunofluorescence (cyCIF) that can be amplified to increase the detection efficiency of low-abundance antigens. Stained fluorescence signals can be readily removed using ultraviolet light treatment, preserving tissue and fragile cell sample integrity. We also extended the oligonucleotide barcoding strategy to secondary antibodies to enable the inclusion of difficult-to-label primary antibodies in a cyCIF panel. Using both the amplification oligonucleotides to label DNA barcoded antibodies and in situ hybridization of multiple fluorescently labeled oligonucleotides resulted in signal amplification and increased signal-to-background ratios. This procedure was optimized through the examination of staining parameters including staining oligonucleotide concentration, staining temperature, and oligonucleotide sequence design, resulting in a robust amplification technique. As a proof-of-concept, we demonstrate the flexibility of our cyCIF strategy by simultaneously imaging with the original oligonucleotide conjugated antibody (Ab-oligo) cyCIF strategy, the novel Ab-oligo cyCIF amplification strategy, as well as direct and indirect immunofluorescence to generate highly multiplexed images.
Collapse
Affiliation(s)
- Nathan P. McMahon
- Biomedical Engineering Department, Oregon Health & Science University, Portland, OR 97201, USA
| | - Jocelyn A. Jones
- Biomedical Engineering Department, Oregon Health & Science University, Portland, OR 97201, USA
| | - Ashley N. Anderson
- Department of Cell, Development & Cancer Biology Department, Oregon Health & Science University, Portland, OR 97201, USA
| | - Matthew S. Dietz
- Department of Cell, Development & Cancer Biology Department, Oregon Health & Science University, Portland, OR 97201, USA
| | - Melissa H. Wong
- Department of Cell, Development & Cancer Biology Department, Oregon Health & Science University, Portland, OR 97201, USA
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97201, USA
| | - Summer L. Gibbs
- Biomedical Engineering Department, Oregon Health & Science University, Portland, OR 97201, USA
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97201, USA
| |
Collapse
|
40
|
Claes BR, Krestensen KK, Yagnik G, Grgic A, Kuik C, Lim MJ, Rothschild KJ, Vandenbosch M, Heeren RMA. MALDI-IHC-Guided In-Depth Spatial Proteomics: Targeted and Untargeted MSI Combined. Anal Chem 2023; 95:2329-2338. [PMID: 36638208 PMCID: PMC9893213 DOI: 10.1021/acs.analchem.2c04220] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Recently, a novel technology was published, utilizing the strengths of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) and immunohistochemistry (IHC), achieving highly multiplexed, targeted imaging of biomolecules in tissue. This new technique, called MALDI-IHC, opened up workflows to target molecules of interest using MALDI-MSI that are usually targeted by standard IHC. In this paper, the utility of targeted MALDI-IHC and its complementarity with untargeted on-tissue bottom-up spatial proteomics is explored using breast cancer tissue. Furthermore, the MALDI-2 effect was investigated and demonstrated to improve MALDI-IHC. Formalin-fixed paraffin-embedded (FFPE) human breast cancer tissue sections were stained for multiplex MALDI-IHC with six photocleavable mass-tagged (PC-MT) antibodies constituting a breast cancer antibody panel (CD20, actin-αSM, HER2, CD68, vimentin, and panCK). K-means spatial clusters were created based on the MALDI-IHC images and cut out using laser-capture microdissection (LMD) for further untargeted LC-MS-based bottom-up proteomics analyses. Numerous peptides could be tentatively assigned to multiple proteins, of which three proteins were also part of the antibody panel (vimentin, keratins, and actin). Post-ionization with MALDI-2 showed an increased intensity of the PC-MTs and suggests options for the development of new mass-tags. Although the on-tissue digestion covered a wider range of proteins, the MALDI-IHC allowed for easy and straightforward identification of proteins that were not detected in untargeted approaches. The combination of the multiplexed MALDI-IHC with image-guided proteomics showed great potential to further investigate diseases by providing complementary information from the same tissue section and without the need for customized instrumentation.
Collapse
Affiliation(s)
- Britt
S. R. Claes
- The
Maastricht MultiModal Molecular Imaging (M4I) institute, Division
of Imaging Mass Spectrometry (IMS), Maastricht
University, 6229 ER Maastricht, The Netherlands
| | - Kasper K. Krestensen
- The
Maastricht MultiModal Molecular Imaging (M4I) institute, Division
of Imaging Mass Spectrometry (IMS), Maastricht
University, 6229 ER Maastricht, The Netherlands
| | - Gargey Yagnik
- AmberGen,
Inc., 44 Manning Road, Billerica, Massachusetts 01821, United States
| | - Andrej Grgic
- The
Maastricht MultiModal Molecular Imaging (M4I) institute, Division
of Imaging Mass Spectrometry (IMS), Maastricht
University, 6229 ER Maastricht, The Netherlands
| | - Christel Kuik
- The
Maastricht MultiModal Molecular Imaging (M4I) institute, Division
of Imaging Mass Spectrometry (IMS), Maastricht
University, 6229 ER Maastricht, The Netherlands
| | - Mark J. Lim
- AmberGen,
Inc., 44 Manning Road, Billerica, Massachusetts 01821, United States
| | - Kenneth J. Rothschild
- AmberGen,
Inc., 44 Manning Road, Billerica, Massachusetts 01821, United States,Molecular
Biophysics Laboratory, Department of Physics and Photonics Center, Boston University, Boston, Massachusetts 02215, United States
| | - Michiel Vandenbosch
- The
Maastricht MultiModal Molecular Imaging (M4I) institute, Division
of Imaging Mass Spectrometry (IMS), Maastricht
University, 6229 ER Maastricht, The Netherlands
| | - Ron M. A. Heeren
- The
Maastricht MultiModal Molecular Imaging (M4I) institute, Division
of Imaging Mass Spectrometry (IMS), Maastricht
University, 6229 ER Maastricht, The Netherlands,
| |
Collapse
|
41
|
Yang L, Zhang W, Sun J, Yang G, Cai S, Sun F, Xing L, Sun X. Functional status and spatial interaction of T cell subsets driven by specific tumor microenvironment correlate with recurrence of non-small cell lung cancer. Front Immunol 2023; 13:1022638. [PMID: 36685566 PMCID: PMC9846487 DOI: 10.3389/fimmu.2022.1022638] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 12/09/2022] [Indexed: 01/06/2023] Open
Abstract
Background The anti-tumoral or pro-tumoral roles of CD4+ and CD8+ T cells typify the complexity of T cell subsets function in cancer. In the non-small cell lung cancer (NSCLC), the density and topology of distinct T cell phenotypes at the tumor center (TC) versus the invasive margin (IM) are largely unknown. Here, we investigated T cell subsets density and distribution within TC and IM regions in NSCLC and its impact on the prognosis. Methods We performed multiplex immunofluorescence using a tissue microarray of samples from 99 patients with locally advanced NSCLC to elucidate the distributions of tumor cell, T cell subpopulations (CD4/conventional CD4/regulatory CD4/CD8/cytotoxic CD8/pre-dysfunctional CD8/dysfunctional CD8), microvessel density (MVD), cancer-associated fibroblasts (CAFs) and hypoxia-inducible factor-1α (HIF-1α) in TC and IM tissues. Cell-to-cell nearest neighbor distances and interactions were analyzed using the phenoptrreports R package. Cox regression was used to evaluate the associations between T cell subsets density and proximity to tumor cells and recurrence-free survival (RFS). Correlations between different cell subsets were examined by Spearman's or Kruskal-Wallis tests. Results In the locally advanced NSCLC, the proportion of tumor cells and CAFs in IM is lower than in the TC, while MVD, CD4+, and CD8+ T lymphocytes were increased, and tumor cells were closer to T lymphocytes and their subsets. The density and proximity of CD4+ and CD8+ T cells in the TC and IM regions were not associated with RFS, but in the IM area, increased density of dysfunctional CD8 and closer regulatory CD4 to tumor cells were independent risk factors for recurrence (HR were 3.536 and 2.884, respectively), and were positively correlated with HIF-1α+CD8 (r = 0.41, P = 0.000) and CAFs (P = 0.017), respectively.s. Conclusions In locally advanced NSCLC, the functional status of T cells in the IM region is closely related to recurrence. The density of dysfunctional CD8 and the proximity of regulatory CD4 to tumor cells were independent risk factors for recurrence, and are positively correlated with the hypoxia response of CD8+ T cells and CAFs. Targeting hypoxia or CAFs is expected to further sensitize therapy.
Collapse
Affiliation(s)
- Liying Yang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Wei Zhang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Jujie Sun
- Department of Pathology, Shandong Cancer Hospital and Institute First Medical University and Shandong Academy of Medical Science, Jinan, China
| | - Guanqun Yang
- Shandong University Cancer Center, Shandong University, Jinan, China
| | - Siqi Cai
- Shandong University Cancer Center, Shandong University, Jinan, China
| | - Fenghao Sun
- Department of Nuclear Medicine, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Ligang Xing
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- Shandong University Cancer Center, Shandong University, Jinan, China
| | - Xiaorong Sun
- Department of Nuclear Medicine, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| |
Collapse
|
42
|
Gulhati P, Schalck A, Jiang S, Shang X, Wu CJ, Hou P, Ruiz SH, Soto LS, Parra E, Ying H, Han J, Dey P, Li J, Deng P, Sei E, Maeda DY, Zebala JA, Spring DJ, Kim M, Wang H, Maitra A, Moore D, Clise-Dwyer K, Wang YA, Navin NE, DePinho RA. Targeting T cell checkpoints 41BB and LAG3 and myeloid cell CXCR1/CXCR2 results in antitumor immunity and durable response in pancreatic cancer. NATURE CANCER 2023; 4:62-80. [PMID: 36585453 PMCID: PMC9925045 DOI: 10.1038/s43018-022-00500-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 11/18/2022] [Indexed: 12/31/2022]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is considered non-immunogenic, with trials showing its recalcitrance to PD1 and CTLA4 immune checkpoint therapies (ICTs). Here, we sought to systematically characterize the mechanisms underlying de novo ICT resistance and to identify effective therapeutic options for PDAC. We report that agonist 41BB and antagonist LAG3 ICT alone and in combination, increased survival and antitumor immunity, characterized by modulating T cell subsets with antitumor activity, increased T cell clonality and diversification, decreased immunosuppressive myeloid cells and increased antigen presentation/decreased immunosuppressive capability of myeloid cells. Translational analyses confirmed the expression of 41BB and LAG3 in human PDAC. Since single and dual ICTs were not curative, T cell-activating ICTs were combined with a CXCR1/2 inhibitor targeting immunosuppressive myeloid cells. Triple therapy resulted in durable complete responses. Given similar profiles in human PDAC and the availability of these agents for clinical testing, our findings provide a testable hypothesis for this lethal disease.
Collapse
Affiliation(s)
- Pat Gulhati
- Department of Medical Oncology, Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA
- Department of Gastrointestinal Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Aislyn Schalck
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shan Jiang
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xiaoying Shang
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Chang-Jiun Wu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pingping Hou
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sharia Hernandez Ruiz
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luisa Solis Soto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Edwin Parra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Haoqiang Ying
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jincheng Han
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Prasenjit Dey
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Jun Li
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pingna Deng
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Emi Sei
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | | | - Denise J Spring
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael Kim
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Huamin Wang
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anirban Maitra
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Dirk Moore
- Department of Biostatistics, Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA
| | - Karen Clise-Dwyer
- Department of Hematopoietic Biology and Malignancy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Y Alan Wang
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- Brown Center for Immunotherapy, Indiana University School of Medicine, Indianapolis, IN, USA.
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
- Department of Microbiology and Immunology, Indiana University School of Medicine, Indianapolis, IN, USA.
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN, USA.
| | - Nicholas E Navin
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ronald A DePinho
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| |
Collapse
|
43
|
Lim MJ, Yagnik G, Henkel C, Frost SF, Bien T, Rothschild KJ. MALDI HiPLEX-IHC: multiomic and multimodal imaging of targeted intact proteins in tissues. Front Chem 2023; 11:1182404. [PMID: 37201132 PMCID: PMC10187789 DOI: 10.3389/fchem.2023.1182404] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 04/14/2023] [Indexed: 05/20/2023] Open
Abstract
Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is one of the most widely used methods for imaging the spatial distribution of unlabeled small molecules such as metabolites, lipids and drugs in tissues. Recent progress has enabled many improvements including the ability to achieve single cell spatial resolution, 3D-tissue image reconstruction, and the precise identification of different isomeric and isobaric molecules. However, MALDI-MSI of high molecular weight intact proteins in biospecimens has thus far been difficult to achieve. Conventional methods normally require in situ proteolysis and peptide mass fingerprinting, have low spatial resolution, and typically detect only the most highly abundant proteins in an untargeted manner. In addition, MSI-based multiomic and multimodal workflows are needed which can image both small molecules and intact proteins from the same tissue. Such a capability can provide a more comprehensive understanding of the vast complexity of biological systems at the organ, tissue, and cellular levels of both normal and pathological function. A recently introduced top-down spatial imaging approach known as MALDI HiPLEX-IHC (MALDI-IHC for short) provides a basis for achieving this high-information content imaging of tissues and even individual cells. Based on novel photocleavable mass-tags conjugated to antibody probes, high-plex, multimodal and multiomic MALDI-based workflows have been developed to image both small molecules and intact proteins on the same tissue sample. Dual-labeled antibody probes enable multimodal mass spectrometry and fluorescent imaging of targeted intact proteins. A similar approach using the same photocleavable mass-tags can be applied to lectin and other probes. We detail here several examples of MALDI-IHC workflows designed to enable high-plex, multiomic and multimodal imaging of tissues at a spatial resolution as low as 5 µm. This approach is compared to other existing high-plex methods such as imaging mass cytometry, MIBI-TOF, GeoMx and CODEX. Finally, future applications of MALDI-IHC are discussed.
Collapse
Affiliation(s)
- Mark J. Lim
- AmberGen, Inc., Billerica, MA, United States
- *Correspondence: Mark J. Lim, ; Kenneth J. Rothschild,
| | | | | | | | - Tanja Bien
- Bruker Daltonics GmbH & Co. KG, Bremen, Germany
| | - Kenneth J. Rothschild
- AmberGen, Inc., Billerica, MA, United States
- Department of Physics and Photonics Center, Boston University, Boston, MA, United States
- *Correspondence: Mark J. Lim, ; Kenneth J. Rothschild,
| |
Collapse
|
44
|
Francisco-Cruz A, Rocha P, Reuben A, Krishnan SN, Das P, Chen R, Quek K, Li J, Parra ER, Solis LM, Barua S, Jiang M, Lazcano R, Chow CW, Behrens C, Gumb C, Little L, Fukuoka J, Kalhor N, Weissferdt A, Kadara H, Heymach JV, Swisher S, Sepesi B, Rao A, Moran C, Zhang J, Lee JJ, Fujimoto J, Futreal PA, Wistuba II, Peterson CB, Zhang J. Analysis of Immune Intratumor Heterogeneity Highlights Immunoregulatory and Coinhibitory Lymphocytes as Hallmarks of Recurrence in Stage I Non-Small Cell Lung Cancer. Mod Pathol 2023; 36:100028. [PMID: 36788067 PMCID: PMC10251498 DOI: 10.1016/j.modpat.2022.100028] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 07/19/2022] [Accepted: 09/01/2022] [Indexed: 01/19/2023]
Abstract
Our understanding of the molecular mechanisms underlying postsurgical recurrence of non-small cell lung cancer (NSCLC) is rudimentary. Molecular and T cell repertoire intratumor heterogeneity (ITH) have been reported to be associated with postsurgical relapse; however, how ITH at the cellular level impacts survival is largely unknown. Here we report the analysis of 2880 multispectral images representing 14.2% to 27% of tumor areas from 33 patients with stage I NSCLC, including 17 cases (relapsed within 3 years after surgery) and 16 controls (without recurrence ≥5 years after surgery) using multiplex immunofluorescence. Spatial analysis was conducted to quantify the minimum distance between different cell types and immune cell infiltration around malignant cells. Immune ITH was defined as the variance of immune cells from 3 intratumor regions. We found that tumors from patients having relapsed display different immune biology compared with nonrecurrent tumors, with a higher percentage of tumor cells and macrophages expressing PD-L1 (P =.031 and P =.024, respectively), along with an increase in regulatory T cells (Treg) (P =.018), antigen-experienced T cells (P =.025), and effector-memory T cells (P =.041). Spatial analysis revealed that a higher level of infiltration of PD-L1+ macrophages (CD68+PD-L1+) or antigen-experienced cytotoxic T cells (CD3+CD8+PD-1+) in the tumor was associated with poor overall survival (P =.021 and P =.006, respectively). A higher degree of Treg ITH was associated with inferior recurrence-free survival regardless of tumor mutational burden (P =.022), neoantigen burden (P =.021), genomic ITH (P =.012) and T cell repertoire ITH (P =.001). Using multiregion multiplex immunofluorescence, we characterized ITH at the immune cell level along with whole exome and T cell repertoire sequencing from the same tumor regions. This approach highlights the role of immunoregulatory and coinhibitory signals as well as their spatial distribution and ITH that define the hallmarks of tumor relapse of stage I NSCLC.
Collapse
Affiliation(s)
- Alejandro Francisco-Cruz
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Pedro Rocha
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas; University of Barcelona, Barcelona, Spain
| | - Alexandre Reuben
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Santhoshi N Krishnan
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas; Department of Computational Biology and Bioinformatics, University of Michigan, Ann Arbor, Michigan
| | - Priyam Das
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts
| | - Runzhe Chen
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kelly Quek
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jun Li
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Edwin R Parra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Luisa M Solis
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Souptik Barua
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas
| | - Mei Jiang
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Rossana Lazcano
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Chi-Wan Chow
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Carmen Behrens
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Curtis Gumb
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Junya Fukuoka
- Department of Pathology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Neda Kalhor
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Annikka Weissferdt
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Humam Kadara
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - John V Heymach
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Stephen Swisher
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Boris Sepesi
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Arvind Rao
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas; Department of Computational Biology and Bioinformatics, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Cesar Moran
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - J Jack Lee
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
| | - Christine B Peterson
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
| | - Jianjun Zhang
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
| |
Collapse
|
45
|
Ressler JM, Zila N, Korosec A, Yu J, Silmbrod R, Bachmayr V, Tittes J, Strobl J, Lichtenberger BM, Hoeller C, Petzelbauer P. Myofibroblast stroma differentiation in infiltrative basal cell carcinoma is accompanied by regulatory T-cells. J Cutan Pathol 2022; 50:544-551. [PMID: 36562598 DOI: 10.1111/cup.14381] [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: 06/22/2022] [Revised: 12/13/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022]
Abstract
INTRODUCTION The implications of infiltrative compared to non-infiltrative growth of cutaneous basal cell carcinoma (BCC) on the tumor stroma and immune cell landscape are unknown. This is of clinical importance, because infiltrative BCCs, in contrast to other BCC subtypes, are more likely to relapse after surgery and radiotherapy. MATERIALS AND METHODS This descriptive cross-sectional study analyzed 38 BCCs collected from 2018 to 2021. In the first cohort (n = 28), immune cells were characterized by immunohistochemistry and multiplex immunofluorescence staining for CD3, CD8, CD68, Foxp3, and α-SMA protein expression. In the second cohort (n = 10) with matched characteristics (age, sex, location, and BCC subtype), inflammatory parameters, including TGF-β1, TGF-β2, ACTA2, IL-10, IL-12A, and Foxp3, were quantified via RT-qPCR after isolating mRNA from BCC tissue samples and perilesional skin. RESULTS Infiltrative BCCs showed significantly increased levels of α-SMA expression in fibroblasts (p = 0.0001) and higher levels of Foxp3+ (p = 0.0023) and CD3+ (p = 0.0443) T-cells compared to non-infiltrative BCCs. CD3+ (p = 0.0171) and regulatory T-cells (p = 0.0026) were significantly increased in α-SMA-positive tumor stroma, whereas CD8+ T-cells (p = 0.1329) and CD68+ myeloid cells (p = 0.2337) were not affected. TGF-β1 and TGF-β2 correlated significantly with ACTA2/α-SMA mRNA expression (p = 0.020, p = 0.005). CONCLUSION Infiltrative growth of BCCs shows a myofibroblastic stroma differentiation and is accompanied by an immunosuppressive tumor microenvironment.
Collapse
Affiliation(s)
| | - Nina Zila
- Department of Dermatology, Medical University of Vienna, Austria
| | - Ana Korosec
- Department of Dermatology, Medical University of Vienna, Austria.,SERD Skin and Endothelium Research Division, Medical University of Vienna, Austria
| | - Josef Yu
- Department of Dermatology, Medical University of Vienna, Austria
| | - Rita Silmbrod
- Department of Dermatology, Medical University of Vienna, Austria
| | | | - Julia Tittes
- Department of Dermatology, Medical University of Vienna, Austria
| | - Johanna Strobl
- Department of Dermatology, Medical University of Vienna, Austria
| | - Beate Maria Lichtenberger
- Department of Dermatology, Medical University of Vienna, Austria.,SERD Skin and Endothelium Research Division, Medical University of Vienna, Austria
| | | | - Peter Petzelbauer
- Department of Dermatology, Medical University of Vienna, Austria.,SERD Skin and Endothelium Research Division, Medical University of Vienna, Austria
| |
Collapse
|
46
|
Cooper J, Um IH, Arandjelović O, Harrison DJ. Lymphocyte Classification from Hoechst Stained Slides with Deep Learning. Cancers (Basel) 2022; 14:cancers14235957. [PMID: 36497439 PMCID: PMC9738034 DOI: 10.3390/cancers14235957] [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: 09/10/2022] [Revised: 11/24/2022] [Accepted: 11/28/2022] [Indexed: 12/03/2022] Open
Abstract
Multiplex immunofluorescence and immunohistochemistry benefit patients by allowing cancer pathologists to identify proteins expressed on the surface of cells. This enables cell classification, better understanding of the tumour microenvironment, and more accurate diagnoses, prognoses, and tailored immunotherapy based on the immune status of individual patients. However, these techniques are expensive. They are time consuming processes which require complex staining and imaging techniques by expert technicians. Hoechst staining is far cheaper and easier to perform, but is not typically used as it binds to DNA rather than to the proteins targeted by immunofluorescence techniques. In this work we show that through the use of deep learning it is possible to identify an immune cell subtype without immunofluorescence. We train a deep convolutional neural network to identify cells expressing the T lymphocyte marker CD3 from Hoechst 33342 stained tissue only. CD3 expressing cells are often used in key prognostic metrics such as assessment of immune cell infiltration, and by identifying them without the need for costly immunofluorescence, we present a promising new approach to cheaper prediction and improvement of patient outcomes. We also show that by using deep learning interpretability techniques, we can gain insight into the previously unknown morphological features which make this possible.
Collapse
Affiliation(s)
- Jessica Cooper
- School of Computer Science, University of St Andrews, St Andrews KY16 9SX, UK
- Correspondence:
| | - In Hwa Um
- School of Medicine, University of St Andrews, St Andrews KY16 9TF, UK
| | - Ognjen Arandjelović
- School of Computer Science, University of St Andrews, St Andrews KY16 9SX, UK
| | - David J. Harrison
- School of Medicine, University of St Andrews, St Andrews KY16 9TF, UK
| |
Collapse
|
47
|
Fan TWM, Daneshmandi S, Cassel TA, Uddin MB, Sledziona J, Thompson PT, Lin P, Higashi RM, Lane AN. Polarization and β-Glucan Reprogram Immunomodulatory Metabolism in Human Macrophages and Ex Vivo in Human Lung Cancer Tissues. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2022; 209:1674-1690. [PMID: 36150727 PMCID: PMC9588758 DOI: 10.4049/jimmunol.2200178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 08/23/2022] [Indexed: 11/06/2022]
Abstract
Immunomodulatory (IM) metabolic reprogramming in macrophages (Mϕs) is fundamental to immune function. However, limited information is available for human Mϕs, particularly in response plasticity, which is critical to understanding the variable efficacy of immunotherapies in cancer patients. We carried out an in-depth analysis by combining multiplex stable isotope-resolved metabolomics with reversed phase protein array to map the dynamic changes of the IM metabolic network and key protein regulators in four human donors' Mϕs in response to differential polarization and M1 repolarizer β-glucan (whole glucan particles [WGPs]). These responses were compared with those of WGP-treated ex vivo organotypic tissue cultures (OTCs) of human non-small cell lung cancer. We found consistently enhanced tryptophan catabolism with blocked NAD+ and UTP synthesis in M1-type Mϕs (M1-Mϕs), which was associated with immune activation evidenced by increased release of IL-1β/CXCL10/IFN-γ/TNF-α and reduced phagocytosis. In M2a-Mϕs, WGP treatment of M2a-Mϕs robustly increased glucose utilization via the glycolysis/oxidative branch of the pentose phosphate pathway while enhancing UDP-N-acetyl-glucosamine turnover and glutamine-fueled gluconeogenesis, which was accompanied by the release of proinflammatory IL-1β/TNF-α to above M1-Mϕ's levels, anti-inflammatory IL-10 to above M2a-Mϕ's levels, and attenuated phagocytosis. These IM metabolic responses could underlie the opposing effects of WGP, i.e., reverting M2- to M1-type immune functions but also boosting anti-inflammation. Variable reprogrammed Krebs cycle and glutamine-fueled synthesis of UTP in WGP-treated OTCs of human non-small cell lung cancer were observed, reflecting variable M1 repolarization of tumor-associated Mϕs. This was supported by correlation with IL-1β/TNF-α release and compromised tumor status, making patient-derived OTCs unique models for studying variable immunotherapeutic efficacy in cancer patients.
Collapse
Affiliation(s)
- Teresa W-M Fan
- Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY;
- Markey Cancer Center, University of Kentucky, Lexington, KY; and
- Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, KY
| | - Saeed Daneshmandi
- Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY
| | - Teresa A Cassel
- Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY
| | - Mohammad B Uddin
- Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY
| | - James Sledziona
- Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY
| | - Patrick T Thompson
- Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY
| | - Penghui Lin
- Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY
| | - Richard M Higashi
- Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY
- Markey Cancer Center, University of Kentucky, Lexington, KY; and
- Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, KY
| | - Andrew N Lane
- Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY;
- Markey Cancer Center, University of Kentucky, Lexington, KY; and
- Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, KY
| |
Collapse
|
48
|
Guo A, Zhang J, Tian Y, Peng Y, Luo P, Zhang J, Liu Z, Wu W, Zhang H, Cheng Q. Identify the immune characteristics and immunotherapy value of CD93 in the pan-cancer based on the public data sets. Front Immunol 2022; 13:907182. [PMID: 36389798 PMCID: PMC9646793 DOI: 10.3389/fimmu.2022.907182] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 09/12/2022] [Indexed: 12/01/2022] Open
Abstract
CD93 is a transmembrane receptor that is mainly expressed on endothelial cells. A recent study found that upregulated CD93 in tumor vessels is essential for tumor angiogenesis in several cancers. However, the underlying mechanisms are largely unexplored. Our present research systematically analyzed the characteristics of CD93 in tumor immunotherapy among 33 cancers. CD93 levels and co-expression of CD93 on cancer and stromal cells were detected using public databases and multiple immunofluorescence staining. The Kaplan-Meier (KM) analysis identified the predictive role of CD93 in these cancer types. The survival differences between CD93 mutants and WT, CNV groups, and methylation were also investigated. The immune landscape of CD93 in the tumor microenvironment was analyzed using the SangerBox, TIMER 2.0, and single-cell sequencing. The immunotherapy value of CD93 was predicted through public databases. CD93 mRNA and protein levels differed significantly between cancer samples and adjacent control tissues in multiply cancer types. CD93 mRNA expression associated with patient prognosis in many cancers. The correlation of CD93 levels with mutational status of other gene in these cancers was also analyzed. CD93 levels significantly positively related to three scores (immune, stromal, and extimate), immune infiltrates, immune checkpoints, and neoantigen expression.. Additionally, single-cell sequencing revealed that CD93 is predominantly co-expressed on tumor and stromal cells, such as endothelial cells, cancer-associated fibroblasts (CAFs), neutrophils, T cells, macrophages, M1 and M2 macrophages. Several immune-related signaling pathways were enriched based on CD93 expression, including immune cells activation and migration, focal adhesion, leukocyte transendothelial migration, oxidative phosphorylation, and complement. Multiple immunofluorescence staining displayed the relationship between CD93 expression and CD8, CD68, and CD163 in these cancers. Finally, the treatment response of CD93 in many immunotherapy cohorts and sensitive small molecules was predicted from the public datasets. CD93 expression is closely associated with clinical prognosis and immune infiltrates in a variety of tumors. Targeting CD93-related signaling pathways in the tumor microenvironment may be a novel therapeutic strategy for tumor immunotherapy.
Collapse
Affiliation(s)
- Aiyuan Guo
- Department of Dermatology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Jingwei Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yuqiu Tian
- Department of Infectious Disease, Zhuzhou Central Hospital, Zhuzhou, China
| | - Yun Peng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- Teaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, Changsha, China
| | - Peng Luo
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Jian Zhang
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Zaoqu Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Wantao Wu
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, China
| | - Hao Zhang
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
- *Correspondence: Quan Cheng, ; Hao Zhang,
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Clinical Diagnosis and Therapy Center for Glioma of Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Quan Cheng, ; Hao Zhang,
| |
Collapse
|
49
|
Singh S, Clemente LC, Parra ER, Tchakarov A, Yang C, Li Y, Long JP, Yee C, Lin JS. Urinary T cells are detected in patients with immune checkpoint inhibitor-associated immune nephritis that are clonotypically identical to kidney T cell infiltrates. Oncoimmunology 2022; 11:2124678. [PMID: 36185804 PMCID: PMC9519023 DOI: 10.1080/2162402x.2022.2124678] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 08/31/2022] [Accepted: 09/11/2022] [Indexed: 10/28/2022] Open
Abstract
Acute kidney injury (AKI) occurs in ~20% of patients receiving immune checkpoint inhibitor (ICI) therapy; however, only 2-5% will develop ICI-mediated immune nephritis. Conventional tests are nonspecific in diagnosing disease pathology and invasive procedures (i.e. kidney biopsy) may not be feasible. In other autoimmune renal diseases, urinary immune cells correlated with the pathology or were predictive of disease activity. Corresponding evidence and analysis are absent for ICI-mediated immune nephritis. We report the first investigation analyzing immune cell profiles of matched kidney biopsies and urine of patients with ICI-AKI. We demonstrated the presence of urinary T cells in patients with immune nephritis by flow cytometry analysis. Clonotype analysis of T cell receptor (TCR) sequences confirmed enrichment of kidney TCRs in urine. As ICI therapies become standard of care for more cancers, noninvasively assessing urinary immune cells of ICI therapy recipients can facilitate clinical management and an opportunity to tailor ICI-nephritis treatment.
Collapse
Affiliation(s)
- Shailbala Singh
- Department of Melanoma Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Leticia C. Clemente
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Edwin R. Parra
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Amanda Tchakarov
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center McGovern Medical School, Houston, TX, USA
| | - Chao Yang
- Department of Biostatistics, Division of Basic Sciences, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yisheng Li
- Department of Biostatistics, Division of Basic Sciences, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - James P. Long
- Department of Biostatistics, Division of Basic Sciences, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Cassian Yee
- Department of Melanoma Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Immunology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jamie S. Lin
- Section of Nephrology, Division of Internal Medicine, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| |
Collapse
|
50
|
Arnold S, Watts S, Kirkman E, Page CP, Pitchford SC. Single and Multiplex Immunohistochemistry to Detect Platelets and Neutrophils in Rat and Porcine Tissues. Methods Protoc 2022; 5:mps5050071. [PMID: 36136817 PMCID: PMC9498441 DOI: 10.3390/mps5050071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 09/08/2022] [Accepted: 09/08/2022] [Indexed: 12/03/2022] Open
Abstract
Platelet–neutrophil complexes (PNCs) occur during the inflammatory response to trauma and infections, and their interactions enable cell activation that can lead to tissue destruction. The ability to identify the accumulation and tissue localisation of PNCs is necessary to further understand their role in the organs associated with blast-induced shock wave trauma. Relevant experimental lung injury models often utilise pigs and rats, species for which immunohistochemistry protocols to detect platelets and neutrophils have yet to be established. Therefore, monoplex and multiplex immunohistochemistry protocols were established to evaluate the application of 22 commercially available antibodies to detect platelet (nine rat and five pig) and/or neutrophil (four rat and six pig) antigens identified as having potential selectivity for porcine or rat tissue, using lung and liver sections taken from models of polytrauma, including blast lung injury. Of the antibodies evaluated, one antibody was able to detect rat neutrophil elastase (on frozen and formalin-fixed paraffin embedded (FFPE) sections), and one antibody was successful in detecting rat CD61 (frozen sections only); whilst one antibody was able to detect porcine MPO (frozen and FFPE sections) and antibodies, targeting CD42b or CD49b antigens, were able to detect porcine platelets (frozen and FFPE and frozen, respectively). Staining procedures for platelet and neutrophil antigens were also successful in detecting the presence of PNCs in both rat and porcine tissue. We have, therefore, established protocols to allow for the detection of PNCs in lung and liver sections from porcine and rat models of trauma, which we anticipate should be of value to others interested in investigating these cell types in these species.
Collapse
Affiliation(s)
- Stephanie Arnold
- Sackler Institute of Pulmonary Pharmacology, Institute of Pharmaceutical Science, King’s College London, London SE1 9NH, UK
| | - Sarah Watts
- CBR Division, Defence Science and Technology Laboratory, Salisbury SP4 0JQ, UK
| | - Emrys Kirkman
- CBR Division, Defence Science and Technology Laboratory, Salisbury SP4 0JQ, UK
| | - Clive P. Page
- Sackler Institute of Pulmonary Pharmacology, Institute of Pharmaceutical Science, King’s College London, London SE1 9NH, UK
| | - Simon C. Pitchford
- Sackler Institute of Pulmonary Pharmacology, Institute of Pharmaceutical Science, King’s College London, London SE1 9NH, UK
- Correspondence:
| |
Collapse
|