ArticleCancer research2021
Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy.
Article in Cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Raman spectroscopy combined with multiple technologies for label-free identification of immune cells: An overview.Journal of pharmaceutical analysis · 2026Review
- Raman Spectroscopy in Cancer Diagnostics and Surgery: 25 Years of Progress from Surface-Enhanced Raman Spectroscopy to Artificial Intelligence─A Bibliometric and Visualized Study.Analytical chemistry · 2026Review
- Artificial intelligence in immunotherapy: revolutionizing diagnostic and therapeutic applications in cancer and autoimmune diseases.Clinical and experimental medicine · 2026Review
- A machine learning-driven Raman spectroscopy approach for non-invasive diagnosis of non-puerperal mastitis.Analytical and bioanalytical chemistry · 2026Article
- Machine-Learning-Enabled Raman Spectroscopy Refines Indocyanine Green Fluorescence Boundaries for Precise Glioblastoma Margin Delineation.Research (Washington, D.C.) · 2026Article
- Development of a rapid and novel diagnostic technique for cardiac amyloidosis using Raman spectroscopy.Research square · 2025Article
- Design and Validation of a Multimodal Diffuse Reflectance and Spatially Offset Raman Spectroscopy System for In Vivo Applications.Journal of biophotonics · 2025Article
- The clinical application of artificial intelligence in cancer precision treatment.Journal of translational medicine · 2025Review
- Raman Imaging of Targeted Drug Delivery with DNA-Based Nano-Optical Devices.Small (Weinheim an der Bergstrasse, Germany) · 2024Article
- Investigating In Vivo Tumor Biomolecular Changes Following Radiation Therapy Using Raman Spectroscopy.ACS omega · 2024Article
- Metabolic Response to Small Molecule Therapy in Colorectal Cancer Tracked with Raman Spectroscopy and Metabolomics.Angewandte Chemie (International ed. in English) · 2024Article
- Informing immunotherapy with multi-omics driven machine learning.NPJ digital medicine · 2024Review
- Advancing precision cancer immunotherapy drug development, administration, and response prediction with AI-enabled Raman spectroscopy.Frontiers in immunology · 2024Review
- Multimodal Imaging of Pancreatic Cancer Microenvironment in Response to an Antiglycolytic Drug.Advanced healthcare materials · 2023Article
- A Smart Intracellular Self-Assembling Bioorthogonal Raman Active Nanoprobe for Targeted Tumor Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Optical diffraction tomography and Raman spectroscopy reveal distinct cellular phenotypes during white and brown adipocyte differentiation.Biosensors & bioelectronics · 2023Article
- The Emerging Role of Raman Spectroscopy as an Omics Approach for Metabolic Profiling and Biomarker Detection toward Precision Medicine.Chemical reviews · 2023Review
- Raman spectroscopy combined with a support vector machine algorithm as a diagnostic technique for primary Sjögren's syndrome.Scientific reports · 2023Article
- Novel aspects of Raman spectroscopy in skin research.Experimental dermatology · 2022Review
- Raman spectroscopy reveals phenotype switches in breast cancer metastasis.Theranostics · 2022Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Cancer immunotherapy provides durable clinical benefit in only a small fraction of patients, and identifying these patients is difficult due to a lack of reliable biomarkers for prediction and evaluation of treatment response. Here, we demonstrate the first application of label-free Raman spectroscopy for elucidating biomolecular changes induced by anti-CTLA4 and anti-PD-L1 immune checkpoint inhibitors (ICI) in the tumor microenvironment (TME) of colorectal tumor xenografts. Multivariate curve resolution-alternating least squares (MCR-ALS) decomposition of Raman spectral datasets revealed early changes in lipid, nucleic acid, and collagen content following therapy. Support vector machine classifiers and random forests analysis provided excellent prediction accuracies for response to both ICIs and delineated spectral markers specific to each therapy, consistent with their differential mechanisms of action. Corroborated by proteomics analysis, our observation of biomolecular changes in the TME should catalyze detailed investigations for translating such markers and label-free Raman spectroscopy for clinical monitoring of immunotherapy response in cancer patients. SIGNIFICANCE: This study provides first-in-class evidence that optical spectroscopy allows sensitive detection of early changes in the biomolecular composition of tumors that predict response to immunotherapy with immune checkpoint inhibitors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.