ArticleLasers in medical science2014
Cervical cancer detection based on serum sample Raman spectroscopy.
Article in Lasers in medical science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- Visibility-Graph Analysis of Raman Spectra in Chalazion and Lipid Dysregulation: An Exploratory Study.Entropy (Basel, Switzerland) · 2026Article
- Classification of disease subtypes in medical spectroscopy for multi-category sample imbalances based on grouping and hierarchical learning.Lasers in medical science · 2025Article
- Pregnancy detection based on blood serum sample Raman spectroscopy.Lasers in medical science · 2024Article
- Co-encapsulation of Shirazi thyme (Food science & nutrition · 2024Article
- Raman spectroscopy combined with multivariate statistical algorithms for the simultaneous screening of cervical and breast cancers.Lasers in medical science · 2024Article
- Raman Spectroscopy for Early Detection of Cervical Cancer, a Global Women's Health Issue-A Review.Molecules (Basel, Switzerland) · 2023Review
- Breast cancer chemotherapy treatment monitoring based on serum sample Raman spectroscopy.Lasers in medical science · 2022Article
- Development and Validation of a Raman Spectroscopic Classification Model for Cervical Intraepithelial Neoplasia (CIN).Cancers · 2022Article
- Rapid label-free detection of cholangiocarcinoma from human serum using Raman spectroscopy.PloS one · 2022Article
- Vibrational spectroscopy of liquid biopsies for prostate cancer diagnosis.Therapeutic advances in medical oncology · 2020Article
- Vibrational Spectroscopy Fingerprinting in Medicine: from Molecular to Clinical Practice.Materials (Basel, Switzerland) · 2019Review
- Discrimination of different cancer types clustering Raman spectra by a super paramagnetic stochastic network approach.PloS one · 2019Article
- Raman Spectroscopy and Microscopy Applications in Cardiovascular Diseases: From Molecules to Organs.Biosensors · 2018Review
- Type 2 diabetes detection based on serum sample Raman spectroscopy.Lasers in medical science · 2018Article
- New method of lung cancer detection by saliva test using surface-enhanced Raman spectroscopy.Thoracic cancer · 2018Article
- Quantifying glucose and lipid components in human serum by Raman spectroscopy and multivariate statistics.Lasers in medical science · 2017Article
- Estimating the concentration of urea and creatinine in the human serum of normal and dialysis patients through Raman spectroscopy.Lasers in medical science · 2016Article
- Breast cancer detection based on serum sample surface enhanced Raman spectroscopy.Lasers in medical science · 2016Article
- Early detection of dental fluorosis using Raman spectroscopy and principal component analysis.Lasers in medical science · 2015Article
- Current Advances in the Application of Raman Spectroscopy for Molecular Diagnosis of Cervical Cancer.BioMed research international · 2015Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of Raman spectroscopy to analyze the biochemical composition of serum samples and hence distinguish between normal and cervical cancer serum samples was investigated. The serum samples were obtained from 19 patients who were clinically diagnosed with cervical cancer, 3 precancer, and 20 healthy volunteer controls. The imprint was put under an Olympus microscope, and around points were chosen for Raman measurement.All spectra were collected at a Horiba Jobin-Yvon LabRAM HR800 Raman Spectrometer with a laser of 830-nm wavelength and 17-mW power irradiation. Raw spectra were processed by carrying out baseline correction, smoothing, and normalization to remove noise, florescence, and shot noise and then analyzed using principal component analysis (PCA). The control serum spectrum showed the presence of higher amounts of carotenoids indicated by peaks at 1,002, 1,160, and 1,523 cm(-1)and intense peaks associated with protein components at 754, 853, 938, 1,002, 1,300-1,345, 1,447, 1,523, 1,550, 1,620, and 1,654 cm(-1). The Raman bands assigned to glutathione (446, 828, and 1,404 cm(-1)) and tryptophan (509, 1,208, 1,556, 1,603, and 1,620 cm(-1)) in cervical cancer were higher than those of control samples, suggesting that their presence may also play a role in cervical cancer. Furthermore, weak bands in the control samples attributed to tryptophan (545, 760, and 1,174 cm(-1)) and amide III (1,234-1,290 cm(-1)) seem to disappear and decrease in the cervical cancer samples, respectively. It is shown that the serum samples from patients with cervical cancer and from the control group can be discriminated with high sensitivity and specificity when the multivariate statistical methods of PCA is applied to Raman spectra. PCA allowed us to define the wavelength differences between the spectral bands of the control and cervical cancer groups by confirming that the main molecular differences among the control and cervical cancer samples were glutathione, tryptophan, β carotene, and amide III. The preliminary results suggest that Raman spectroscopy could be a highly effective technique with a strong potential of support for current techniques as Papanicolaou smear by reducing the number of these tests; nevertheless, with the construction of a data library integrated with a large number of cervical cancer and control Raman spectra obtained from a wide range of healthy and cervical cancer population, Raman-PCA technique could be converted into a new technique for noninvasive real-time diagnosis of cervical cancer from serum samples.
Indexed as
Identifiers
24197519What 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.