ArticleCancer research2019
Label-Free Raman Spectroscopy Reveals Signatures of Radiation Resistance in the Tumor Microenvironment.
Article in Cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 71 citations in OpenAlex.
- A Nomogram Based on a Collagen Feature Support Vector Machine for Predicting the Treatment Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer Patients.Annals of surgical oncology · 2021Trial
- 3D multi-omics tumour atlases: from technology to biology and clinical translation.Nature reviews. Cancer · 2026Review
- Single-fiber co-registered Raman-OCT technique with deep learning enhancesBiophotonics discovery · 2026Article
- Synthetic CT-enabled weekly adaptive radiotherapy for nasopharyngeal carcinoma: Optimizing plan adaptation triggers through volumetric-dosimetric monitoring.Journal of applied clinical medical physics · 2026Article
- Development and validation of a collagen score-based prediction model for neoadjuvant chemoimmunotherapy efficacy in locally advanced esophageal squamous cell carcinoma.Journal of thoracic disease · 2026Article
- Harnessing Biomarker Activatable Probes for Early Stratification and Timely Assessment of Therapeutic Efficacy in Cancer.Exploration (Beijing, China) · 2025Review
- Raman analysis of lipids in cells: Current applications and future prospects.Journal of pharmaceutical analysis · 2025Review
- Design and Validation of a Multimodal Diffuse Reflectance and Spatially Offset Raman Spectroscopy System for In Vivo Applications.Journal of biophotonics · 2025Article
- Investigating In Vivo Tumor Biomolecular Changes Following Radiation Therapy Using Raman Spectroscopy.ACS omega · 2024Article
- Global profiling of transcriptome, proteome and 2-hydroxyisobutyrylome in radioresistant lung adenocarcinoma cell.BMC genomics · 2024Article
- Label-free plasmonic spectral profiling of serum DNA.Biosensors & bioelectronics · 2024Article
- Acquired Radiation Resistance Induces Thiol-dependent Cisplatin Cross-resistance.Radiation research · 2024Article
- Yuragi biomarker concept for evaluating human induced pluripotent stem cells using heterogeneity-based Raman finger-printing.Biophysics and physicobiology · 2024Article
- Investigating ionizing radiation-induced changes in breast cancer cells using stimulated Raman scattering microscopy.Journal of biomedical optics · 2023Article
- Understanding radiation response and cell cycle variation in brain tumour cells using Raman spectroscopy.The Analyst · 2023Article
- Raman Spectroscopy Revealed Cell Passage-Dependent Distinct Biochemical Alterations in Radiation-Resistant Breast Cancer Cells.ACS omega · 2023Article
- Raman spectroscopy and convolutional neural networks for monitoring biochemical radiation response in breast tumour xenografts.Scientific reports · 2023Article
- Establishment of head and neck squamous cell carcinoma mouse models for cetuximab resistance and sensitivity.Cancer drug resistance (Alhambra, Calif.) · 2023Article
- Diffuse Reflectance Spectroscopy of Changes in Tumor Microenvironment in Response to Different Doses of Radiation.Radiation research · 2022Article
- Recent Advances in Raman Spectral Imaging in Cell Diagnosis and Gene Expression Prediction.Genes · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Delay in the assessment of tumor response to radiotherapy continues to pose a major challenge to quality of life for patients with nonresponsive tumors. Here, we exploited label-free Raman spectroscopic mapping to elucidate radiation-induced biomolecular changes in tumors and uncovered latent microenvironmental differences between treatment-resistant and -sensitive tumors. We used isogenic radiation-resistant and -sensitive A549 human lung cancer cells and human head and neck squamous cell carcinoma (HNSCC) cell lines (UM-SCC-47 and UM-SCC-22B, respectively) to grow tumor xenografts in athymic nude mice and demonstrated the molecular specificity and quantitative nature of Raman spectroscopic tissue assessments. Raman spectra obtained from untreated and treated tumors were subjected to chemometric analysis using multivariate curve resolution-alternating least squares (MCR-ALS) and support vector machine (SVM) to quantify biomolecular differences in the tumor microenvironment. The Raman measurements revealed significant and reliable differences in lipid and collagen content postradiation in the tumor microenvironment, with consistently greater changes observed in the radiation-sensitive tumors. In addition to accurately evaluating tumor response to therapy, the combination of Raman spectral markers potentially offers a route to predicting response in untreated tumors prior to commencing treatment. Combined with its noninvasive nature, our findings provide a rationale for
Indexed as
Identifiers
What OpenQuestion holds
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.