ArticleJournal of biophotonics2018
Raman spectroscopy for accurately characterizing biomolecular changes in androgen-independent prostate cancer cells.
Article in Journal of biophotonics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 33 citations in OpenAlex.
- Unsupervised self-organising map classification of Raman spectra from prostate cell lines uncovers substratified prostate cancer disease states.Scientific reports · 2025Article
- Raman spectroscopy reveals oxidative stress-induced metabolic vulnerabilities in early-stage AR-negative prostate-cancer versus normal-prostate cell lines.Scientific reports · 2024Article
- Identification of characteristic metabolic panels for different stages of prostate cancer byJournal of translational medicine · 2022Article
- Label-free discrimination of tumorigenesis stages using in vitro prostate cancer bone metastasis model by Raman imaging.Scientific reports · 2022Article
- Article
- Using the Method of "Optical Biopsy" of Prostatic Tissue to Diagnose Prostate Cancer.Molecules (Basel, Switzerland) · 2021Article
- Discrimination of radiosensitive and radioresistant murine lymphoma cells by Raman spectroscopy and SERS.Biomedical optics express · 2020Article
- Applications of Raman spectroscopy in cancer diagnosis.Cancer metastasis reviews · 2018Review
- Challenges in application of Raman spectroscopy to biology and materials.RSC advances · 2018Review
- Raman spectroscopy for accurately characterizing biomolecular changes in androgen-independent prostate cancer cells.Journal of biophotonics · 2018Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Metastatic prostate cancer resistant to hormonal manipulation is considered the advanced stage of the disease and leads to most cancer-related mortality. With new research focusing on modulating cancer growth, it is essential to understand the biochemical changes in cells that can then be exploited for drug discovery and for improving responsiveness to treatment. Raman spectroscopy has a high chemical specificity and can be used to detect and quantify molecular changes at the cellular level. Collection of large data sets generated from biological samples can be employed to form discriminatory algorithms for detection of subtle and early changes in cancer cells. The present study describes Raman finger printing of normal and metastatic hormone-resistant prostate cancer cells including analyses with principal component analysis and linear discrimination. Amino acid-specific signals were identified, especially loss of arginine band. Androgen-resistant prostate cancer cells presented a higher content of phenylalanine, tyrosine, DNA and Amide III in comparison to PNT2 cells, which possessed greater amounts of L-arginine and had a B conformation of DNA. The analysis utilized in this study could reliably differentiate the 2 cell lines (sensitivity 95%; specificity 88%).
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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.