ArticleScientific reports2015
Improving prediction of prostate cancer recurrence using chemical imaging.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed.
- Trial
- Dysregulation of estrogen signaling and HSD17B7 in the prostate stroma of African American men.Endocrinology · 2026Article
- Impact of prognostic nutritional index and geriatric nutritional risk index on prognosis in elderly patients with early-stage prostate cancer.Frontiers in nutrition · 2026Article
- Inspiring a convergent engineering approach to measure and model the tissue microenvironment.Heliyon · 2024Review
- Infrared spectroscopic laser scanning confocal microscopy for whole-slide chemical imaging.Nature communications · 2023Article
- Digital Histopathology by Infrared Spectroscopic Imaging.Annual review of analytical chemistry (Palo Alto, Calif.) · 2023Review
- Comprehensive Histopathology Imaging in Pancreatic Biopsies: High Definition Infrared Imaging with Machine Learning Approach.International journal of biological sciences · 2023Article
- Statistical Considerations and Tools to Improve Histopathologic Protocols with Spectroscopic Imaging.Applied spectroscopy · 2022Article
- Developing a Multimodal Model for Detecting Higher-Grade Prostate Cancer Using Biomarkers and Risk Factors.BioMed research international · 2022Article
- Infrared spectral microscopy as a tool to monitor lung fibrosis development in a model system.Biomedical optics express · 2020Article
- All-digital histopathology by infrared-optical hybrid microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Quantitative Histopathology of Stained Tissues using Color Spatial Light Interference Microscopy (cSLIM).Scientific reports · 2019Article
- Label-Free Raman Spectroscopy Reveals Signatures of Radiation Resistance in the Tumor Microenvironment.Cancer research · 2019Article
- Integration of diffraction phase microscopy and Raman imaging for label-free morpho-molecular assessment of live cells.Journal of biophotonics · 2019Article
- Reagent-Free and Rapid Assessment of T Cell Activation State Using Diffraction Phase Microscopy and Deep Learning.Analytical chemistry · 2019Article
- Resolving Interobserver Discrepancies in Lung Cancer Diagnoses by Spectral Histopathology.Archives of pathology & laboratory medicine · 2019Article
- Performance of prostate cancer recurrence nomograms by obesity status: a retrospective analysis of a radical prostatectomy cohort.BMC cancer · 2018Article
- Simultaneous cancer and tumor microenvironment subtyping using confocal infrared microscopy for all-digital molecular histopathology.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Infrared Spectroscopic Imaging Advances as an Analytical Technology for Biomedical Sciences.Analytical chemistry · 2018Review
- Infrared spectroscopic imaging: Label-free biochemical analysis of stroma and tissue fibrosis.The international journal of biochemistry & cell biology · 2017Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Precise Outcome prediction is crucial to providing optimal cancer care across the spectrum of solid cancers. Clinically-useful tools to predict risk of adverse events (metastases, recurrence), however, remain deficient. Here, we report an approach to predict the risk of prostate cancer recurrence, at the time of initial diagnosis, using a combination of emerging chemical imaging, a diagnostic protocol that focuses simultaneously on the tumor and its microenvironment, and data analysis of frequent patterns in molecular expression. Fourier transform infrared (FT-IR) spectroscopic imaging was employed to record the structure and molecular content from tumors prostatectomy. We analyzed data from a patient cohort that is mid-grade dominant - which is the largest cohort of patients in the modern era and in whom prognostic methods are largely ineffective. Our approach outperforms the two widely used tools, Kattan nomogram and CAPRA-S score in a head-to-head comparison for predicting risk of recurrence. Importantly, the approach provides a histologic basis to the prediction that identifies chemical and morphologic features in the tumor microenvironment that is independent of conventional clinical information, opening the door to similar advances in other solid tumors.
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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.