Hormone therapies offer many benefits and risks, but they may sometimes have side effects. Choose one form of therapy (for example; progestin, estrogen, a combined therapy, systemic, or local therapy). Discuss the benefits, risks, and side effects for the therapy you chose.
One form of therapy that has been used to treat hormone related conditions is progestin therapy. Progestins are synthetic hormones taken either orally or through injections that help replace natural hormones in the body. It has a variety of beneficial effects including reducing symptoms of menopause such as hot flashes and vaginal dryness, along with decreasing the risks for endometrial cancer (ACOG 2020).
In terms of risk associated with progestin therapy, it can increase one’s chances for blood clots, stroke, and heart attack; this is especially true for women over the age of 35 who smoke (ACOG 2020). Additionally it should be noted that certain side effects may arise after starting this therapy such as headaches, bloating or nausea though they usually only last few days until body gets used to changes.
That being said if these symptoms persist then the individual should contact their doctor immediately since they could possibly indicate more serious issues like liver/breast problems which require proper medical attention right away (Womenshealth.gov 2018).
Overall progestin therapy can be an effective treatment option for those suffering from hormone related issues but users must remain vigilant about potential risks involved when taking these drugs regularly. By doing so, you can benefit from improved quality of life without worrying about any long-term health implications that may result due to improper usage.
Progestin Therapy:
Benefits: Progestin therapy is used to treat a variety of conditions, including irregular periods, amenorrhea (absence of menstrual cycles), endometriosis, and uterine fibroids. It can also be used to reduce the risk of endometrial cancer in women who are taking estrogen therapy.
Risks: Progestin therapy increases the risk of blood clots and may increase your risk of heart attack or stroke when taken for long periods of time or at high doses. It may also have other risks such as weight gain and depression.
The basic aim of the personalized medicine is applying right therapy to the right population of people by defining disease at the moecular level. So, identifying differences among the individuals support the new treatment methods and pharmaceutical companies to develop new cancer drugs. Patients who have similar clinical outcome and histological tumor type can give different response to the same drug(17). Prediction of who will be a nonresponders reduces the harmfull effect of drug on nonresponders like a potential toxic effect of drug and cost effect. Also when drug companies develop new drug, they focus on the patient population that benefit from drug to increase positive responds(17).
U.S. Food and Drug Administration bringed development about targeted therapy. For example, to treat chronic myeloid leukemia and gastrointestinal stromal tumor(18) ,imatinib mesylate is used and to treat breast cancer(19), trastuzumab (Herceptin) is used. Molecular characteristics of these cancer types that are abnormal protein tyrosine kinase activity in chronic myeloid leukemia and gastrointestinal stromal tumor and HER-2 receptor in breastcancer is used as a predictive biomarker. By using these markers only individuals which have these molecular alteration is selected and it means they are favorable for the treatment. Using this way some cancer types’ survival rate is shifted from 0 to 70%(17).
This application is used in non-small cell lung cancer treatment with using of mutations screeing. In this cancer type mutation occurs in kinase domain of EGFR. Gefitinib (Iressa) and erlotinib are tyrosine kinase inhibitors drug are used to treat and patients give a higher response to the treatment(20). Also if patient that is never smoked Asian females have adenocarcinomas, these drugs efficient on them(21). On the other hand, if the mutatuions occur at downstream effector KRAS, patient is resistant to to erlotinib(22). Also mutations that is at KRAS have a resistance to cetuximab (Erbitux) and panitumumab (Vectibix) drugs in colon cancer patients. If the KRAS is wild type, these these drugs is effective on the patients(23). These responses that are specific and different are based on molecular profile. Some molecular test are done before the using of cetuximab or panitumumab to a colon cancer patient. Lung and colon cancer is concerned with targeted therapy that is guide to patient about treatment by understanding the structure of cancer(24).
Pharmacogenomics and treatment safety
Genes that have genetical variation encode enzymes which metobolize drug, drug transporters, or drug targets. Variation in genes that can predict dose and safety of treatment for different types of cancer patient can have harmful influence on these patients’ treatment(25). For instance, polymorphism where in cytochrome P450 enzymes could cause to metabolite to drug slowly or very fast. So patient give an overdose symptoms or no response to drug by changing the pharmacokinetics of drug metabolism, also it may cause an adverse drug reaction(26). Thereby , forecasting optimal dose of drug , inducing the harmful side effects can be provided by using polymorphism(27). In familial breast cancer, patients shows low survival rate to treatment with tamoxifen that is chemotherapeutic drug because of genetic variation in CYP2D6 that is seen as a poor metabolizer (28). There are some studies abour genetic testing on drug label including test for CYP450 polymorphisms.
Prognosis
Insteaf of using clinicopathologic parameters as a biomarker in biochemical testing for prognosis and selection of therapatic way for cancer patient , Genotyping or gene expression profiling by microarray and protein analysis by mass spectrometry is used for prognostic biomarkers with the understanding of the molecular mechanism of cancer subtypes(29).
Biomarkers can be used alone or with combination of other parameters for classify subgroups according to their risk rate and for leading to therapy decision. For example, tissue microarray analysis with combining molecular and clinical biomarker is more efficient than the clasical cl