Mismatch repair-proficient tumor footprints in the sands of immune desert: mechanistic constraints and precision platforms
B Majumder, NB Nataraj, L Maitreyi… - Frontiers in Immunology, 2024 - frontiersin.org
Mismatch repair proficient (MMRp) tumors of colorectal origin are one of the prevalent yet
unpredictable clinical challenges. Despite earnest efforts, optimal treatment modalities have …
unpredictable clinical challenges. Despite earnest efforts, optimal treatment modalities have …
[HTML][HTML] Multimodal data integration in early-stage breast cancer
A Llinas-Bertran, M Butjosa-Espín, V Barberi… - The Breast, 2025 - Elsevier
The use of biomarkers in breast cancer has significantly improved patient outcomes through
targeted therapies, such as hormone therapy, anti-Her2 therapy and CDK4/6 or PARP …
targeted therapies, such as hormone therapy, anti-Her2 therapy and CDK4/6 or PARP …
ESCCPred: a machine learning model for diagnostic prediction of early esophageal squamous cell carcinoma using autoantibody profiles
T Li, G Sun, H Ye, C Song, Y Shen, Y Cheng… - British Journal of …, 2024 - nature.com
Background Esophageal squamous cell carcinoma (ESCC) is a deadly cancer with no
clinically ideal biomarkers for early diagnosis. The objective of this study was to develop and …
clinically ideal biomarkers for early diagnosis. The objective of this study was to develop and …
Deep learning application in prediction of cancer molecular alterations based on pathological images: a bibliographic analysis via CiteSpace
Y **aojian, Q Zhanbo, C Jian, W Zefeng, L Jian… - Journal of Cancer …, 2024 - Springer
Background The advancements in artificial intelligence (AI) technology for image recognition
were propelling molecular pathology research into a new era. Objective To summarize the …
were propelling molecular pathology research into a new era. Objective To summarize the …
[HTML][HTML] Rapid multiplex immunohistochemistry for characterizing tumor-immune microenvironment
A Kimura, T Tsujikawa, H Morimoto, S Saburi… - Heliyon, 2024 - cell.com
Intratumoral immune profiles are related to prognosis and therapeutic efficacy, and could
result in personalized treatments based on biomarkers. To develop a multiplex, quantitative …
result in personalized treatments based on biomarkers. To develop a multiplex, quantitative …
Fast Neuronal Segmentation of Two-Photon Functional Imaging Recordings Using CITE-On
M Brondi, L Sità, S Curreli, T Fellin - Identification, Characterization, and …, 2024 - Springer
Two-photon imaging is a powerful method to record the activity of neuronal ensembles in the
intact animal brain. Here, we describe a protocol to run a recent analytical approach, CITE …
intact animal brain. Here, we describe a protocol to run a recent analytical approach, CITE …
The 2024 Report on the Human Proteome from the HUPO Human Proteome Project
The Human Proteome Project (HPP), the flagship initiative of the Human Proteome
Organization (HUPO), has pursued two goals:(1) to credibly identify at least one isoform of …
Organization (HUPO), has pursued two goals:(1) to credibly identify at least one isoform of …
[PDF][PDF] Urinary lipid mediators as novel biomarker for kidney disease
Y Morita, M Kurano - Medical mass spectrometry, 2024 - jsbms.jp
Bioactive lipids, including lysophospholipids, sphingolipids, eicosanoids, and their
metabolites, hold promise as potential biomarkers for various diseases. Recent advances in …
metabolites, hold promise as potential biomarkers for various diseases. Recent advances in …
[HTML][HTML] Pan-cancer proteogenomics characterization of tumor immunity
Despite the successes of immunotherapy in cancer treatment over recent decades, less
than< 10%–20% cancer cases have demonstrated durable responses from immune …
than< 10%–20% cancer cases have demonstrated durable responses from immune …
Advances in AI-Enhanced Biomedical Imaging for Cancer Immunology
WWY Yim, F Wee, ZY Ho, X Feng, M Zhang… - … Annual Review of …, 2024 - World Scientific
In this paper, we explore the transformative role of artificial intelligence (AI) in the analysis
and transformation of biomedical images in the field of cancer immunotherapy. This review …
and transformation of biomedical images in the field of cancer immunotherapy. This review …