Trial reportScientific reports2016
Metabolite Profiling of Preneoplastic and Neoplastic Lesions of Oral Cavity Tissue Samples Revealed a Biomarker Pattern.
Trial report in Scientific reports, 2016. 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, 31 citations in OpenAlex.
- Cysteine suppresses the progression of oral squamous cell carcinoma via regulatingTranslational cancer research · 2026Article
- Metabolomic Insights into Head and Neck Cancer: Recent Advances and Future Directions.Current oncology (Toronto, Ont.) · 2026Review
- Spatial metabolomics atlas in the progression of oral squamous cell carcinoma.Journal of translational medicine · 2025Article
- Cell-Free DNA as a Prognostic Biomarker in Oral Carcinogenesis and Oral Squamous Cell Carcinoma: A Translational Perspective.Cancers · 2025Review
- Genetic Mutations in Senegalese Women with Breast Cancer.Asian Pacific journal of cancer prevention : APJCP · 2025Article
- Metabolomic Profiling of Oral Potentially Malignant Disorders and Its Clinical Values.Biomedicines · 2024Review
- Biological biomarkers of oral cancer.Periodontology 2000 · 2024Review
- Connecting the dots: investigating the link between environmental, genetic, and epigenetic influences in metabolomic alterations in oral squamous cell carcinoma.Journal of experimental & clinical cancer research : CR · 2024Review
- Macrophage-enriched novel functional long noncoding RNAs LRRC75A-AS1 and GAPLINC regulate polarization and innate immune responses.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024Article
- An update on the secretory functions of brown, white, and beige adipose tissue: Towards therapeutic applications.Reviews in endocrine & metabolic disorders · 2024Review
- Article
- Evaluation of Metabolomics as Diagnostic Targets in Oral Squamous Cell Carcinoma: A Systematic Review.Metabolites · 2023Review
- The role of the oral microbiome in smoking-related cardiovascular risk: a review of the literature exploring mechanisms and pathways.Journal of translational medicine · 2022Review
- Fused Raman spectroscopic analysis of blood and saliva delivers high accuracy for head and neck cancer diagnostics.Scientific reports · 2022Article
- Metabolomics of Oral/Head and Neck Cancer.Advances in experimental medicine and biology · 2021Article
- Diagnostic and Prognostic Value of Salivary Biochemical Markers in Oral Squamous Cell Carcinoma.Diagnostics (Basel, Switzerland) · 2020Article
- Metabolic landscape of oral squamous cell carcinoma.Metabolomics : Official journal of the Metabolomic Society · 2020Review
- Nuclear Magnetic Resonance Metabolomics Biomarkers for Identifying High Risk Patients with Extranodal Extension in Oral Squamous Cell Carcinoma.Journal of clinical medicine · 2020Article
- Integrated Non-targeted and Targeted Metabolomics Uncovers Amino Acid Markers of Oral Squamous Cell Carcinoma.Frontiers in oncology · 2020Article
- Mechanism for oral tumor cell lysyl oxidase like-2 in cancer development: synergy with PDGF-AB.Oncogenesis · 2019Article
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 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Oral cancer is a major health challenge in the Indian subcontinent and a dreadful form of cancers worldwide. The current study is focused on the identification of distinguished metabolites of oral cancer tissue samples in comparison with precancerous and control tissue samples using gas chromatography coupled with triple quadrupole tandem mass spectrometry and chemometric analyses. Metabolites obtained were identified through National Institute of Standards and Technology (NIST) mass spectral (Wiley registry) library. Mass Profiler Professional (MPP) software was used for the alignment and for all the statistical analysis. 31 compounds out of 735 found distinguishing among oral cancer, precancerous and control group samples using p-value ≤ 0.05. Partial Least Square Discriminant Analysis (PLSDA) model was generated using statistically significant metabolites gave an overall accuracy of 90.2%. Down-regulated amino acid levels appear to be the result of enhanced energy metabolism or up-regulation of the appropriate biosynthetic pathways, and required cell proliferation in cancer tissues. These results suggest that tissue metabolic profiles have great potential in detecting oral cancer and may aid in understanding its underlying mechanisms.
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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.