ArticleBiosensors2016
Different Phases of Breast Cancer Cells: Raman Study of Immortalized, Transformed, and Invasive Cells.
Article in Biosensors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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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
28 citing papers in PubMed, 62 citations in OpenAlex.
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- Raman Spectroscopy for Differentiating High- and Low-Grade Canine Cutaneous Mast Cell Tumours.Veterinary and comparative oncology · 2026Article
- Predicting targeted- and immunotherapeutic response outcomes in melanoma with single-cell Raman spectroscopy and AI.bioRxiv : the preprint server for biology · 2026Article
- Artificial intelligence in breast surgery: Current applications, challenges, and future perspectives.The Journal of international medical research · 2026Review
- A Pilot Study on Single-Cell Raman Spectroscopy Combined with Machine Learning for Phenotypic Characterization ofMicroorganisms · 2025Article
- Scientific Advances in Cancer Detection Using Raman Spectroscopy.Asian Pacific journal of cancer prevention : APJCP · 2024Review
- Artificial intelligence-based plasma exosome label-free SERS profiling strategy for early lung cancer detection.Analytical and bioanalytical chemistry · 2024Article
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- Combined SERS-Raman screening of HER2-overexpressing or silenced breast cancer cell lines.Journal of nanobiotechnology · 2024Article
- Use of artificial intelligence in breast surgery: a narrative review.Gland surgery · 2024Review
- The Emerging Role of Raman Spectroscopy as an Omics Approach for Metabolic Profiling and Biomarker Detection toward Precision Medicine.Chemical reviews · 2023Review
- Article
- Fused Raman spectroscopic analysis of blood and saliva delivers high accuracy for head and neck cancer diagnostics.Scientific reports · 2022Article
- Discrimination between Carbapenem-Resistant and Carbapenem-Sensitive Klebsiella pneumoniae Strains through Computational Analysis of Surface-Enhanced Raman Spectra: a Pilot Study.Microbiology spectrum · 2022Article
- Who's Who? Discrimination of Human Breast Cancer Cell Lines by Raman and FTIR Microspectroscopy.Cancers · 2022Article
- Unveiling Cancer Metabolism through Spontaneous and Coherent Raman Spectroscopy and Stable Isotope Probing.Cancers · 2021Review
- Raman spectroscopy and artificial intelligence to predict the Bayesian probability of breast cancer.Scientific reports · 2021Article
- Indication of high lipid content in epithelial-mesenchymal transitions of breast tissues.Scientific reports · 2021Article
- Evaluation of aromatic amino acids as potential biomarkers in breast cancer by Raman spectroscopy analysis.Scientific reports · 2021Article
- Comparative Analysis of Machine Learning Algorithms on Surface Enhanced Raman Spectra of ClinicalFrontiers in microbiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer is the most prevalent cause of cancer-associated death in women the world over, but if detected early it can be treated successfully. Therefore, it is important to diagnose this disease at an early stage and to understand the biochemical changes associated with cellular transformation and cancer progression. Deregulated lipid metabolism has been shown to contribute to cell transformation as well as cancer progression. In this study, we monitored the biomolecular changes associated with the transformation of a normal cell into an invasive cell associated with breast cancer using Raman microspectroscopy. We have utilized primary normal breast cells, and immortalized, transformed, non-invasive, and invasive breast cancer cells. The Raman spectra were acquired from all these cell lines under physiological conditions. The higher wavenumber (2800-3000 cm
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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.