Abstract
The research and application for treatment determination and monitoring of biomarkers in hormone replacement therapy is a comparably novel domain. Currently, regulations are limited and insufficient, but are evolving. Nevertheless, there is decisive anticipation of what future biomarker research will reveal and apply more specifically to negative symptoms and adverse disorders, particularly affecting females—with the end goal of improving and enhancing their quality of life.
Considering multiple biological outcomes, hormone replacement therapy (HRT) performs a vital role in determining treatment recommendations and regimes for many menopausal symptoms and conditions: cancer, diabetes, cognitive decline, osteoporosis, and autoimmune disorders.
Targeted treatments are challenging to achieve for some female hormone-related conditions and disorders. Nevertheless, physicians frequently order biomarker analyses. Conventional biomarkers, such as blood glucose, blood pressure, hormone levels, and mineral levels, can be identified in in-clinic labs. However, reference laboratories are typically utilized to develop biomarker panels, especially for rare or novel biomarker analysis, thus ensuring appropriate therapeutic regimes.
Biomarkers, measured in the body, influence or predict the incidence of outcome or disease. Biomarkers are more characterized explicitly as biomarkers of risk stratification, disease detection, diagnosis, prognosis, and predictive of a disease or disorder.
Biochemical markers comprise lipids, inflammatory (high-sensitivity C-reactive protein, interleukin-6, tumor necrosis factor-alpha, and leukocyte count), adipokines, endothelial (E-selectin, P-selectin, ICAM, and VCAM), glucose tolerance (fasting glucose, insulin, HOMA-IR, IGF-1, and metabolic syndrome), hemostatic (D-dimer, factor VIII, von Willebrand factor, homocysteine, fibrinogen, tissue factor pathway inhibitor, and acquired activated protein C resistance), matrix metalloproteinases, and sex steroid hormones (such as globulin-binding sex hormone).
Genetic markers cover factor V Leiden, glycoprotein IIIa leu33pro, gene variants (related to sex hormone biosynthesis, metabolism, and signaling), genome-wide association studies (GWAS), and exome sequencing (for gene discovery), gene variants (in the ABO blood group), and polymorphisms (of estrogen and progesterone receptors).
Various and distinct technologies are utilized to measure specific body fluids, cellular content, tissue-based composition, and other physiological measures; also, imaging techniques are employed. Biomarkers may be hormones, enzymes, glycoproteins, oncofetal antigens, receptors, or changes in tumors (such as mutations, amplifications, or translocations). Specific biomarkers are identified in special studies for the same or similar diseases or disorders.
Keywords: Blood Panels; Biopsy; Hormones; Risk Stratification; Specimen; Validity
References
- Biomarkers Definition Working Group. “Biomarkers and surrogate endpoints: preferred definitions and conceptual framework”. Clinical Pharmacology and Therapeutics 69 (2001): 89-95. https://pubmed.ncbi.nlm.nih.gov/11240971/
- WHO International Programme on Chemical Safety. Biomarkers in Risk Assessment: Validity and Validation (2001). https://apps.who.int/iris/handle/10665/42363
- Ou FS., et al. “Biomarker Discovery and Validation: Statistical Considerations”. Journal of Thoracic Oncology 4 (2021): 537-545. https://pubmed.ncbi.nlm.nih.gov/33545385/
- Amaravadi L. “Biomarker measurements: how far have we come and where are we heading?” Bioanalysis23 (2016): 2383-2386. https://www.future-science.com/doi/10.4155/bio-2016-4987
- Duffy MJ. “Clinical use of tumor biomarkers: An overview”. Klinická Biochemie a Metabolismus 25 (2017): 157-161. http://www.cskb.cz/res/file/KBM-pdf/2017/2017-4/KBM-2017-4-Duffy-157.pdf
- Lech G., et al. “Colorectal cancer tumour markers and biomarkers: Recent therapeutic advances”. World Journal of Gastroenterology 22 (2016): 1745-1755. https://pubmed.ncbi.nlm.nih.gov/26855534/
- Goossens N., et al. “Cancer biomarker discovery and validation”. Cancer Research 3 (2015): 256-269. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4511498/
- Zerhouni E Medicine. “The NIH Roadmap”. Science 302 (2003): 63-72. https://pubmed.ncbi.nlm.nih.gov/14526066/
- Micheel CM and Ball JR. “The Biomarker Evaluation Process. In. Evaluation of Biomarkers and Surrogate Endpoints in Chronic Disease. Washington (DC): National Academies Press (US) (2010). https://www.ncbi.nlm.nih.gov/books/NBK220297/
- FDA-NIH Biomarker Working Group. BEST (Biomarkers, EndpointS, and Other Tools). Resource. Silver Spring, MD: Food and Drug Administration (2016). https://www.ncbi.nlm.nih.gov/books/NBK326791/
- Simon RM., et al. “Use of archived specimens in evaluation of prognostic and predictive biomarkers”. Journal of the National Cancer Institute 101 (2009): 1446-1452. https://pubmed.ncbi.nlm.nih.gov/19815849/
- Pécuchet N., et al. “Different prognostic impact of STK11 mutations in nonsquamous non-small-cell lung cancer”. Oncotarget 8 (2017): 23831-23840. https://pubmed.ncbi.nlm.nih.gov/26625312/
- Leek JT., et al. “Tackling the widespread and critical impact of batch effects in high-throughput data”. Nature Reviews Genetics 11 (2010): 733-739. https://www.nature.com/articles/nrg2825
- Qin LX., et al. “Blocking and randomization to improve molecular biomarker discovery”. Clinical Cancer Research 20 (2014): 3371-3378. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4079727/
- Rifai N., et al. “Protein biomarker discovery and validation: the long and uncertain path to clinical utility”. Nature Biotechnology 24 (2006): 971-983. https://www.nature.com/articles/nbt1235
- McDermott JE., et al. “Challenges in biomarker discovery: combining expert insights with statistical analysis of complex omics data”. Expert Opinion on Medical Diagnostics 1 (2013): 37-51. https://pubmed.ncbi.nlm.nih.gov/23335946/
- Harrell FE Jr. “Regression modeling strategies with applications to linear models, logistic and ordinal regression, and survival analysis”. 2nd edition. Berlin, Switzerland: Springer (2015). https://www.springer.com/gp/book/9783319194240
- Hunter DJ., et al. “A Pathway and Approach to Biomarker Validation and Qualification for Osteoarthritis Clinical Trials”. Current Drug Targets 5 (2010): 536-545. https://pubmed.ncbi.nlm.nih.gov/20199395/
- Ohtsu Y., et al. “Analytical method validation for biomarkers as a drug development tool: points to consider”. Bioanalysis18 (2021): 1379-1389. https://www.future-science.com/doi/full/10.4155/bio-2021-0173
- Storey JD and Tibshirani R. “Statistical significance for genome-wide studies”. Proceedings of the National Academy of Sciences of the United States of America 100 (2003): 9440-9445. https://www.pnas.org/content/100/16/9440
- Teutsch SM., et al. “The Evaluation of Genomic Applications in Practice and Prevention (EGAPP) Initiative: methods of the EGAPP working group”. Genetics in Medicine 11 (2009): 3-14. https://pubmed.ncbi.nlm.nih.gov/18813139/
- Pepe MS., et al. “Pivotal evaluation of the accuracy of a biomarker used for classification or prediction: standards for study design”. Journal of the National Cancer Institute 100 (2008): 1432-1438. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2567415/
- Naylor S. “Biomarkers: current perspectives and future prospects”. Expert Review of Molecular Diagnostics 5 (2003): 525-529. https://pubmed.ncbi.nlm.nih.gov/14510173/
- Bossuyt PM and Parvin T. “Evaluating Biomarkers for Guiding Treatment Decisions”. The electronic Journal of the IFCC 1 (2015): 63-70. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975224/
- Manson JE. “The role of personalized medicine in identifying appropriate candidates for menopausal estrogen therapy”. Metabolism 1 (2013): S15-19. https://pubmed.ncbi.nlm.nih.gov/23018143/
- Bassuk SS and Manson JE. “Menopausal hormone therapy and cardiovascular disease risk: utility of biomarkers and clinical factors for risk stratification”. Clinical Chemistry 1 (2014): 68-77. https://pubmed.ncbi.nlm.nih.gov/24379312/
- Bray PF., et al. “Usefulness of baseline lipids and C-reactive protein in women receiving menopausal hormone therapy as predictors of treatment-related coronary events”. The American Journal of Cardiology 101 (2008): 1599-1605. https://pubmed.ncbi.nlm.nih.gov/18489937/
- Rossouw JE., et al. “Inflammatory, lipid, thrombotic, and genetic markers of coronary heart disease risk in the Women's Health Initiative trials of hormone therapy”. Archives of Internal Medicine 168 (2008): 2245-2253. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2726792/
- Vincent JL., et al. “The Future of Biomarkers”. Critical Care Clinics 1 (2020): 177-187. https://pubmed.ncbi.nlm.nih.gov/31733679/
- Babrak LM., et al. “Traditional and Digital Biomarkers: Two Worlds Apart?” Digit Biomark 2 (2019): 92-102. https://www.karger.com/Article/Fulltext/502000
- Dorsey ER. Digital biomarkers. Basel: Karger. https://www.karger.com/Journal/Home/271954
- Poste G. “Bring on the biomarkers”. Nature 469 (2011): 156-157. https://www.nature.com/articles/469156a
- Elefsinioti A., et al. “Key factors for successful data integration in biomarker research”. Nature Reviews Drug Discovery 6 (2016): 369-370. https://pubmed.ncbi.nlm.nih.gov/27173942/
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