Review
Pharmacology & Pharmacy
Tze Ker Matthew Leong, Wen Shern Lo, Wei En Zen Lee, Benedict Tan, Xing Zhao Lee, Li Wen Justina Nadia Lee, Jia-Ying Joey Lee, Nivedita Suresh, Lit-Hsin Loo, Evan Szu, Joe Yeong
Summary: Cancer is the leading cause of death globally, with efforts to understand the complex and heterogeneous tumor microenvironment (TME) being crucial for research into this disease. Utilizing in vitro tumor models and artificial intelligence to study the TME holds great potential, but faces limitations such as inadequate data and ethical concerns. Overcoming these limitations is essential for future research to improve clinical outcomes.
ADVANCED DRUG DELIVERY REVIEWS
(2021)
Review
Pathology
Paul W. Harms, Timothy L. Frankel, Myrto Moutafi, Arvind Rao, David L. Rimm, Janis M. Taube, Dafydd Thomas, May P. Chan, Liron Pantanowitz
Summary: Our understanding of human disease has evolved greatly in recent decades, particularly in the areas of immunology and cancer treatment. Advances in digital pathology have opened new avenues for studying the tumor microenvironment. Traditional tissue-based evaluations are limited in their ability to analyze complex quantitative data and multiple biomarkers, making multiplex staining techniques a promising alternative.
Review
Biochemistry & Molecular Biology
Keith A. Wharton, Douglas Wood, Mael Manesse, Kirsteen H. Maclean, Florian Leiss, Aleksandra Zuraw
Summary: Multiplex tissue analysis using immunofluorescence has the potential to enhance pathologic diagnosis by providing insights into tissue-level biology and single-cell phenotypes that traditional methods cannot address. Widespread implementation will require improved detection chemistry, greater standardization of workflows and data pipelines, and integration of multichannel images into digital pathology systems, with interpretation aided by AI. Adoption will also depend on evidence justifying clinical use, regulatory pathways, and adequate budgets and reimbursement.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2021)
Review
Cell Biology
Tracy Z. Tien, Justina N. L. W. Lee, Jeffrey C. T. Lim, Xiao-Yang Chen, Aye Aye Thike, Puay Hoon Tan, Joe P. S. Yeong
Summary: Breast cancer is the most common malignancy and leading cause of cancer death among females worldwide, with triple-negative cases posing particular challenges in treatment. Advancements in technology have allowed for detailed profiling of immune infiltrates in breast tumors, opening up opportunities for personalized drug targets and potentially improving clinical outcomes.
Review
Oncology
Christopher M. Wilson, Oscar E. Ospina, Mary K. Townsend, Jonathan Nguyen, Carlos Moran Segura, Joellen M. Schildkraut, Shelley S. Tworoger, Lauren C. Peres, Brooke L. Fridley
Summary: Immune modulation is a key factor in cancer initiation and progression. The development of multiplex immunofluorescence (mIF) technology has provided researchers with new opportunities to study the tumor immune microenvironment (TIME) and identify patients who could benefit from immunotherapy. However, challenges exist in the statistical analysis of mIF data, including zero-inflated data, repeated measurements, and spatial analyses. Further research is needed to overcome these challenges and to explore the full potential of mIF technology in cancer treatment.
Article
Medicine, Research & Experimental
Joshua Doyle, Benjamin F. Green, Margaret Eminizer, Daniel Jimenez-Sanchez, Steve Lu, Elizabeth L. Engle, Haiying Xu, Aleksandra Ogurtsova, Jonathan Lai, Sigfredo Soto-Diaz, Jeffrey S. Roskes, Julie S. Deutsch, Janis M. Taube, Joel C. Sunshine, Alexander S. Szalay
Summary: Multiplex immunohistochemistry/immunofluorescence (mIHC/mIF) technology enables the evaluation of multiple protein expressions at single-cell resolution while preserving tissue architecture. Cross-registration of multiplex immunofluorescence images with additional imaging modalities and immunohistochemistry (IHC) can improve the quality of data by enhancing downstream processes such as cell segmentation. A fully automated process was designed to perform a hierarchical, parallelizable, and deformable registration of multiplexed digital whole-slide images (WSIs). Additionally, a pan-membrane immunohistochemical staining method was developed for improved cell segmentation.
LABORATORY INVESTIGATION
(2023)
Article
Oncology
Lukasz Raczkowski, Iwona Pasnik, Michal Kukielka, Marcin Nicos, Magdalena A. Budzinska, Tomasz Kucharczyk, Justyna Szumilo, Pawel Krawczyk, Nicola Crosetto, Ewa Szczurek
Summary: This study utilized digital pathology data to accurately predict survival and gene mutations in lung adenocarcinoma patients. Human-interpretable features extracted from the data were used to design novel cancer treatments and expand the understanding of the tumor microenvironment's effects.
Review
Oncology
Samuel S. Widodo, Ryan A. Hutchinson, Yitong Fang, Stefano Mangiola, Paul J. Neeson, Phillip K. Darcy, Alexander D. Barrow, Christopher M. Hovens, Marija Dinevska, Stanley S. Stylli, Theo Mantamadiotis
Summary: Recent developments in cancer immunotherapy offer hope for cancer patients, but difficult to treat cancers such as malignant brain cancer still present challenges, with immune cells in the tumor microenvironment playing a crucial role in regulating tumor immune suppression.
CANCER IMMUNOLOGY IMMUNOTHERAPY
(2021)
Article
Biochemistry & Molecular Biology
Maria Maddalena Tumedei, Filippo Piccinini, Irene Azzali, Francesca Pirini, Sara Bravaccini, Serena De Matteis, Claudio Agostinelli, Gastone Castellani, Michele Zanoni, Michela Cortesi, Barbara Vergani, Biagio Eugenio Leone, Simona Righi, Anna Gazzola, Beatrice Casadei, Davide Gentilini, Luciano Calzari, Francesco Limarzi, Elena Sabattini, Andrea Pession, Marcella Tazzari, Clara Bertuzzi
Summary: The majority of patients with Follicular Lymphoma (FL) experience subsequent phases of remission and relapse, making the disease virtually incurable. Clinical-based prognostic scores have been proposed to predict the outcome of FL patients at diagnosis, but they continue to fail for a subset of patients. Gene expression profiling has highlighted the pivotal role of the tumor microenvironment (TME) in the FL prognosis, but there is still a need to standardize the assessment of immune-infiltrating cells for prognostic classification.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Engineering, Biomedical
Salman Ahmed, Maria Tariq, Hammad Naveed
Summary: The mortality rate of breast cancer is increasing, emphasizing the importance of early detection. This study introduces a method for breast cancer detection in whole slide images, outperforming current benchmarks. Additionally, a method for generating annotations for medical data is proposed.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
(2021)
Article
Computer Science, Artificial Intelligence
Lydia Neary-Zajiczek, Linas Beresna, Benjamin Razavi, Vijay Pawar, Michael Shaw, Danail Stoyanov
Summary: The digitization of pathology is hindered by barriers like cost and pathologist reluctance. This study uses deep learning models to determine the minimum image quality requirements for binary classification of histopathology images of breast tissue. The results show that macroscopic features are sufficient for accurate classification, suggesting the potential of a rapid low-cost imaging system to alleviate the workload of pathologists.
MEDICAL IMAGE ANALYSIS
(2023)
Article
Oncology
Filippo Ugolini, Elisa Pasqualini, Sara Simi, Gianna Baroni, Daniela Massi
Summary: This study compared different bright-field immunohistochemistry protocols for studying the tumor microenvironment in melanoma samples. The results provided the best optimized protocol for visualization and evaluation. These standardized protocols are important for assessing the immune contexts of melanoma patients.
Article
Immunology
Iris A. E. van der Hoorn, Evgenia Martynova, Beatriz Subtil, Jelena Meek, Kiek Verrijp, Johannes Textor, Georgina Florez-Grau, Berber Piet, Michel M. van den Heuvel, I. Jolanda M. de Vries, Mark A. J. Gorris
Summary: This paper describes the development, validation, and quantitative analysis of a multiplex immunohistochemistry panel pipeline with which conventional type 1 dendritic cells (cDC1s), cDC2s, and plasmacytoid DCs can be detected in the spatial context of the tumor microenvironment.
EUROPEAN JOURNAL OF IMMUNOLOGY
(2023)
Article
Oncology
Nurudeen A. Adegoke, Tuba N. Gide, Yizhe Mao, Camelia Quek, Ellis Patrick, Matteo S. Carlino, Serigne N. Lo, Alexander Maxwell Menzies, Ines Pires da Silva, Ismael A. Vergara, Georgina Long, Richard A. Scolyer, James S. Wilmott
Summary: This study developed a method for unsupervised classification of tumor microenvironment (TME) in metastatic melanoma and used multiplex immunohistochemistry and quantitative pathology to assess immune cell compositions for classification in relation to response to immune checkpoint inhibitors.
JOURNAL FOR IMMUNOTHERAPY OF CANCER
(2023)
Article
Oncology
Ya-Qin Wang, Xu Liu, Cheng Xu, Wei Jiang, Shuo-Yu Xu, Yu Zhang, Ye Lin Liang, Jun-Yan Li, Qian Li, Yu-Pei Chen, Yin Zhao, Jing-Ping Yun, Na Liu, Ying-Qin Li, Jun Ma
Summary: This study aimed to quantify the spatial heterogeneity of lymphocytes and cancer cells in the tumor microenvironment of NPC patients and evaluated its prognostic value. The results demonstrated that immune hotspot scores were associated with better clinical outcomes, while further investigation on spatial variation is needed for a comprehensive understanding.