ReviewBiochimica et biophysica acta. Reviews on cancer2019
Clinical validity of saliva and novel technology for cancer detection.
Review in Biochimica et biophysica acta. Reviews on cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.
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
86 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Salivary biomarkers in breast cancer diagnosis: A systematic review and diagnostic meta-analysis.Cancer medicine · 2022Pooled it
- Altered Salivary Microbiome and Increased Immune Markers in Mouth-Breathing Children: Implications for Oral Health.International dental journal · 2026Article
- Study of the Spectral-Luminescent Properties of Saliva in Patients With Lung Cancer.Journal of biophotonics · 2026Article
- miR-185 in salivary extracellular vesicles for early diagnosis of malignant transformation in oral leukoplakia: a clinical study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Blood and Saliva Composition in Cancer: Similarities or Differences?Current issues in molecular biology · 2026Review
- Emerging Salivary Exosome Nanodiagnostics for Early Oral Squamous Cell Carcinoma: Platforms, Biomarkers, and Future Perspectives.International journal of nanomedicine · 2026Review
- Plasma exosomal lncRNA SLC16A1-AS1 as an early diagnostic biomarker for renal cell carcinoma.Frontiers in oncology · 2026Article
- Biomarkers of pulmonary fibrosis in bronchoalveolar lavage fluid and saliva. Study methods and pathophysiological significance.Frontiers in medicine · 2026Review
- From gut to mouth: salivary signatures of carcinogenic microbiota.Frontiers in cellular and infection microbiology · 2026Review
- Salivary biomarkers in oral cancer diagnosis: advancing conventional treatment strategies.Military Medical Research · 2026Review
- Can Salivary Biomarkers Serve as Diagnostic and Prognostic Tools for Early Detection in Patients with Colorectal Cancer? A Systematic Review.Current issues in molecular biology · 2025Review
- Saliva as a potential diagnostic medium: DNA methylation biomarkers for disorders beyond the oral cavity.NPJ genomic medicine · 2025Article
- Salivary Zinc and Copper Levels Are Differentially Associated with ROS Levels in Breast Cancer Patients.International journal of molecular sciences · 2025Article
- Identification of Salivary Biomarkers in Colorectal Cancer by Integrating Olink Proteomics and Metabolomics.Journal of proteome research · 2025Article
- Salivary biomarkers in cancer detection and management.Acta biochimica Polonica · 2025Review
- ITRAQ and PRM-based quantitative saliva proteomics in gastric cancer: biomarker discovery.Frontiers in molecular biosciences · 2025Article
- Salivary Metabolites in Breast Cancer and Fibroadenomas: Focus on Menopausal Status and BMI.Metabolites · 2024Article
- Article
- Sample preparation and detection methods in point-of-care devices towards future at-home testing.Lab on a chip · 2024Review
- Development and validation of a non-invasive method for quantifying amino acids in human saliva.RSC advances · 2024Article
26 more citing papers are in PubMed but not listed here.
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.
Funding
Abstract
Cancer, a local disease at an early stage, systemically evolves as it progresses by triggering alterations in surrounding microenvironment, disturbing immune surveillance and further disseminating its molecular contents into circulation. This pathogenic characteristic of cancer makes the use of biofluids such as blood/serum/plasma, urine, tear and cerebrospinal fluids credible surrogates harboring tumor tissue-derived molecular alterations for the detection of cancer. Most importantly, a number of recent reports have credentialed the clinical validity of saliva for the detection of systemic diseases including cancers. In this review, we discussed the validity of saliva as credible biofluid and clinical sample type for the detection of cancers. We have presented the molecular constituents of saliva that could mirror the systemic status of our body and recent findings of salivaomics associated with cancers. Recently, liquid biopsy to detect cancer-derived circulating tumor DNA has emerged as a credible cancer-detection tool with potential benefits in screening, diagnosis and also risk management of cancers. We have further presented the clinical validity of saliva for liquid biopsy of cancers and a new technology platform based on electrochemical detection of cancer-derived ctDNA in saliva with superior sensitivity and point-of-care potential. The clinical utilities of saliva for the detection of cancers have been evidenced, but biological underpinning on the existence of molecular signatures of cancer-origin in saliva, such as via exosomal distribution, should be addressed in detail.
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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.