"Biomarkers, Tumor" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Molecular products metabolized and secreted by neoplastic tissue and characterized biochemically in cells or BODY FLUIDS. They are indicators of tumor stage and grade as well as useful for monitoring responses to treatment and predicting recurrence. Many chemical groups are represented including HORMONES; ANTIGENS; amino and NUCLEIC ACIDS; ENZYMES; POLYAMINES; and specific CELL MEMBRANE PROTEINS and LIPIDS.
| Descriptor ID |
D014408
|
| MeSH Number(s) |
D23.101.140
|
| Concept/Terms |
Biomarkers, Tumor- Biomarkers, Tumor
- Tumor Biomarkers
- Markers, Biological Tumor
- Tumor Markers, Biological
- Markers, Tumor Metabolite
- Tumor Metabolite Markers
- Metabolite Markers, Tumor
- Marker, Tumor Metabolite
- Metabolite Marker, Tumor
- Tumor Metabolite Marker
- Tumor Markers, Biologic
- Biologic Tumor Markers
- Markers, Biologic Tumor
- Marker, Biologic Tumor
- Biologic Tumor Marker
- Tumor Marker, Biologic
- Biochemical Tumor Markers
- Markers, Biochemical Tumor
- Marker, Biochemical Tumor
- Biochemical Tumor Marker
- Tumor Marker, Biochemical
- Tumor Markers, Biochemical
- Carcinogen Markers
- Markers, Carcinogen
- Markers, Neoplasm Metabolite
- Neoplasm Metabolite Markers
- Marker, Neoplasm Metabolite
- Metabolite Marker, Neoplasm
- Neoplasm Metabolite Marker
- Metabolite Markers, Neoplasm
- Biological Tumor Markers
- Biological Tumor Marker
- Tumor Marker, Biological
- Marker, Biological Tumor
Markers, Tumor- Markers, Tumor
- Tumor Markers
- Biomarkers, Cancer
- Cancer Biomarkers
|
Below are MeSH descriptors whose meaning is more general than "Biomarkers, Tumor".
Below are MeSH descriptors whose meaning is more specific than "Biomarkers, Tumor".
This graph shows the total number of publications written about "Biomarkers, Tumor" by people in this website by year, and whether "Biomarkers, Tumor" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2014 | 0 | 1 | 1 |
| 2015 | 2 | 0 | 2 |
| 2016 | 1 | 2 | 3 |
| 2017 | 2 | 0 | 2 |
| 2019 | 3 | 1 | 4 |
| 2020 | 1 | 0 | 1 |
| 2021 | 1 | 1 | 2 |
| 2025 | 1 | 1 | 2 |
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click here.
Below are the most recent publications written about "Biomarkers, Tumor" by people in Profiles.
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Antitumor Activity and Biomarker Analysis for TROP2 Antibody-Drug Conjugate Datopotamab Deruxtecan in Patient-Derived Breast Cancer Xenograft Models. Clin Cancer Res. 2025 Feb 03; 31(3):573-587.
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Utilizing Patient-Derived Xenografts to Model Precision Oncology for Biliary Tract Cancer. Clin Cancer Res. 2025 Jan 17; 31(2):387-402.
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9p21 loss confers a cold tumor immune microenvironment and primary resistance to immune checkpoint therapy. Nat Commun. 2021 Sep 23; 12(1):5606.
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Genomic Space of MGMT in Human Glioma Revisited: Novel Motifs, Regulatory RNAs, NRF1, 2, and CTCF Involvement in Gene Expression. Int J Mol Sci. 2021 Mar 02; 22(5).
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18F-fluorodeoxyglucose positron emission tomography correlates with tumor immunometabolic phenotypes in resected lung cancer. Cancer Immunol Immunother. 2020 Aug; 69(8):1519-1534.
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Long Noncoding RNA (lncRNA)-Mediated Competing Endogenous RNA Networks Provide Novel Potential Biomarkers and Therapeutic Targets for Colorectal Cancer. Int J Mol Sci. 2019 Nov 16; 20(22).
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Detection of Circulating Tumor DNA with a Single-Molecule Sequencing Analysis Validated for Targeted and Immunotherapy Selection. Mol Diagn Ther. 2019 Aug; 23(4):521-535.
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Novel circulating tumor cell-based blood test for the assessment of PD-L1 protein expression in treatment-naïve, newly diagnosed patients with non-small cell lung cancer. Cancer Immunol Immunother. 2019 Jul; 68(7):1087-1094.
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Circulating tumor cell investigation in breast cancer patient-derived xenograft models by automated immunofluorescence staining, image acquisition, and single cell retrieval and analysis. BMC Cancer. 2019 Mar 12; 19(1):220.
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Distinct TP63 Isoform-Driven Transcriptional Signatures Predict Tumor Progression and Clinical Outcomes. Cancer Res. 2018 01 15; 78(2):451-462.