
What is a biomarker? In simple terms, a biomarker is a measurable signal from the body that tells doctors something specific about a person's health. The familiar ones include blood pressure, cholesterol, and blood sugar. Other biomarkers are more specialized, used in cancer care, diabetes management, and clinical research. All of them work the same way: doctors measure them, then use the result to make a decision.
What Is a Biomarker?
A biomarker is a measurable feature of the body that gives doctors information about a person's health. The word combines "bio," meaning from the body, with "marker," meaning a sign or indicator. A biomarker can be a chemical found in the blood, a feature seen in a tissue sample, a finding on an imaging scan, or a specific change in a gene.
The defining feature of a biomarker is that it can be reliably measured. Doctors use these measurements to detect disease, choose treatments, monitor changes, and evaluate whether new therapies work.
Biomarkers are different from symptoms. A symptom is something a patient feels, such as pain or fatigue. A biomarker is something a doctor measures, often before any symptoms appear. Many serious conditions develop silently, and biomarkers can detect them long before symptoms do.
Common Examples of Biomarkers
Most people encounter biomarkers during routine medical care. A blood pressure reading is a biomarker. So are cholesterol, blood sugar, body temperature, resting heart rate, and body mass index (BMI).
Each measurement gives doctors specific information. Blood pressure reflects how hard the heart is working and how flexible the arteries are. Cholesterol indicates the risk of plaque buildup in arteries, which raises the risk of heart disease. Blood sugar reveals how the body is processing glucose, an important signal for diabetes. Body temperature can indicate infection or inflammation.
BMI is calculated from a person's height and weight and gives a rough estimate of whether their weight falls within a healthy range. BMI is also used as an eligibility factor in many clinical trials, where research teams need participants whose body composition matches the study's design. What is BMI and Why is it Measured in Clinical Trials? explains how this measurement is used in research.
These familiar biomarkers are easy to measure with simple tools: a blood pressure cuff, a standard blood test, a scale and a measuring tape. Other biomarkers require more specialized testing, including blood panels, tissue biopsies, imaging scans, or genetic analysis.
Types of Biomarkers and Where They Come From
Biomarkers can be grouped by what they are made of and how they are collected from the body. Most fall into a few main types.
Blood biomarkers are the most common. A single blood draw can measure dozens of biomarkers at once, including cholesterol, blood sugar, kidney function, liver enzymes, hormone levels, signs of infection, and markers of inflammation. Blood tests are usually the first step when a doctor needs to understand a patient's overall health or investigate a symptom.
Tissue biomarkers come from biopsies, when a doctor removes a small sample of tissue from a tumor or organ. The cells in the sample are then examined under a microscope or tested in a lab. Tissue biomarkers include proteins on the surface of cancer cells, genetic changes inside cells, and patterns of cell growth that point to specific diseases.
Genetic biomarkers can be found in blood, tissue, or a simple cheek swab. They include inherited gene changes that affect a person's risk of disease, as well as changes in genes that develop during a person's lifetime.
Imaging biomarkers come from scans rather than samples. The size of a tumor on a CT scan, the density of bone on an X-ray, and plaque buildup in an artery on an ultrasound are all measurable findings that help doctors assess disease and track changes.
Urine and saliva also carry biomarkers and are used in tests where a less invasive sample is enough to answer the medical question.
How Biomarkers Are Used in Medicine
Researchers group the medical uses of biomarkers into seven main categories. Each one answers a different question.
Some biomarkers help doctors identify whether a person is more likely than average to develop a disease later in life. A well-known example is BRCA1, a gene that everyone has. BRCA1 normally helps cells repair damaged DNA, which prevents harmful changes from accumulating. When a person inherits a faulty version, this repair process does not work properly, and damaged DNA can build up over time. This significantly raises the risk of breast and ovarian cancer. Knowing about a BRCA1 mutation does not mean cancer is coming, but it allows doctors and patients to plan earlier and screen more closely.
Other biomarkers help doctors confirm whether a disease is present in the moment. A common example is troponin, a protein found inside heart muscle cells. Troponin normally helps these cells contract properly. When heart cells are damaged, such as during a heart attack, troponin leaks into the bloodstream. A high troponin level in a patient with chest pain is a strong sign that the heart has been injured, allowing doctors to diagnose a heart attack quickly.
Some biomarkers help doctors predict how a disease is likely to progress. After a cancer diagnosis, doctors may test the tumor for features that signal whether it will grow quickly or slowly, stay local or spread. The same principle applies in heart disease and many other conditions. These biomarkers do not predict outcomes with certainty, but they help patients and doctors plan.
Many biomarkers are used to track a disease over time. The HbA1c test is a familiar example for people living with diabetes. HbA1c measures how much sugar has stuck to hemoglobin, a protein found inside red blood cells. Because hemoglobin cycles through the body in a steady rhythm, the amount of sugar attached to it reflects average blood sugar over the past two to three months. This gives a much more reliable picture than a single morning reading, which can be affected by recent meals or sleep. Diabetics typically have HbA1c checked every few months to see how their treatment is working.
Some biomarkers answer a very specific question: will this particular drug work for this particular patient? Some breast cancers grow because of a protein called HER2 found on the surface of cancer cells. HER2 normally helps control how cells grow, divide, and repair themselves. But in some cancers, the body produces too much HER2, which keeps sending signals telling the cancer cells to grow and spread quickly. Doctors test tumors for HER2 because some cancer drugs are specially designed to block these signals and work best in people whose tumors have high levels of HER2. A similar pattern is seen in lung cancer with EGFR, where certain targeted medicines only work in patients whose tumors carry specific EGFR changes.
This kind of biomarker-guided treatment is part of a larger shift toward precision medicine, where treatments are matched to a patient's biological profile rather than to a general diagnosis. Newer technologies such as mRNA-based therapies depend heavily on this kind of biomarker information to identify their specific targets. From COVID-19 to Cancer: How mRNA Technology Is Transforming Modern Medicine explores that shift in more depth.
Other biomarkers show whether a drug is doing its job. When a person starts taking a statin to lower cholesterol, their doctor monitors LDL levels in follow-up blood tests. LDL, or low-density lipoprotein, is often called "bad cholesterol" because it builds up in artery walls and contributes to heart disease. Statins reduce how much LDL the liver produces. If LDL drops after a person starts the medication, the statin is working. If it stays high, the doctor may adjust the dose or switch treatments.
Finally, some biomarkers serve as early warning systems for treatment side effects. Many medications can put stress on the liver or kidneys, so doctors order regular blood tests to check liver enzymes and kidney function during long-term treatment. If these numbers move in the wrong direction, the medication can be paused or adjusted. This monitoring allows patients to stay on important treatments safely.
Biomarkers in Clinical Trials
A growing number of clinical trials only enroll patients who have a specific biomarker. This is one of the most common reasons people are screened for a trial but do not ultimately qualify.
For example, a trial testing a new HER2-targeted breast cancer drug needs participants whose tumors actually carry HER2. A trial for an EGFR-targeted lung cancer drug needs participants whose tumors have the EGFR mutation. A trial for an immunotherapy, which helps the immune system fight cancer, may require that a tumor carry a protein called PD-L1 at a specific level. Without the matching biomarker, the drug is not expected to work, and the trial cannot fairly measure whether it does.
The screening process therefore includes biomarker testing, often after the initial questions about age, condition, and medical history have already been answered. Why People Get Screened for Clinical Trials and Still Don't Get In looks at the broader reasons screening can end in a no.
Biomarker testing during clinical trial screening can involve a blood draw, a tumor biopsy, a genetic panel, or an imaging scan. The lab work takes time, which is why some trial decisions are not immediate. If a patient does not match the biomarker criteria, the decision is not personal. It reflects how the trial was designed and which patients are most likely to benefit from the treatment being tested.
Patients facing biomarker testing as part of trial screening can ask the research team three useful questions: what is being tested, how long the results will take, and what happens if the biomarker does not match. These questions clarify both the timeline and the next steps.
How Biomarker Testing Is Changing Clinical Trial Design
Biomarkers have also changed how clinical trials themselves are designed.
For most of medical history, clinical trials were organized by disease. A breast cancer trial enrolled breast cancer patients. A lung cancer trial enrolled lung cancer patients. This made sense when a drug was meant to affect one organ or condition.
The growing use of biomarkers has shifted this logic. The same genetic mutation can appear in lung cancer, colon cancer, and a rare childhood tumor. If a new drug is designed to target that mutation, it makes sense to test it across all three cancers at once. This kind of trial is called a basket trial. It enrolls patients with different cancers but the same biomarker into a single study, testing one drug across all of them. What Is a Basket Trial? explains this design in more detail.
Other trial designs are also being shaped by biomarkers. Some studies adjust the dose or change treatments based on biomarker measurements taken during the trial. Some assign patients to different drugs from the start, based on each person's biomarker profile.
None of these designs would have been possible a generation ago. They work now because biomarker testing has become accurate, fast, and in many cases routine. The result is a clinical trial system that increasingly matches the right treatment to the right patient, rather than testing the same drug on everyone with a given disease.
Biomarkers have become essential to almost every part of modern medicine. They help doctors detect disease earlier, choose treatments more precisely, monitor health, and design clinical trials more effectively. For patients, a single biomarker test can open or close doors that used to be decided by broader factors such as age or disease stage.
DecenTrialz is a platform that helps people find clinical trials they may be eligible to join. It uses AI matching to identify studies relevant to a person's condition and key health information, and includes a nurse-led pre-screening step before connecting interested participants with the research teams running the studies. DecenTrialz Explained: How to Search, Read, and Apply for Clinical Trials walks through that process step by step.
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