Glioblastoma Cancer in the US 2026
The landscape of glioblastoma cancer in the United States presents one of the most challenging frontiers in modern oncology. As the most aggressive and common malignant primary brain tumor affecting adults, glioblastoma impacts thousands of American families each year with devastating consequences. This Grade IV astrocytoma, characterized by rapid growth and infiltrative nature, demands urgent attention from the medical community and policymakers as we advance through 2026. Understanding the current statistical landscape is essential for patients, caregivers, healthcare providers, and researchers working toward improved treatments and outcomes.
The year 2026 marks a critical juncture in understanding glioblastoma incidence and mortality patterns. Drawing from data compiled by the National Cancer Institute’s SEER Program, CDC’s National Program of Cancer Registries, and the Central Brain Tumor Registry of the United States (CBTRUS), this analysis presents verified statistics reflecting current disease burden. These authoritative sources provide population-based data covering nearly 100% of the US population, ensuring accuracy in understanding glioblastoma’s scope in America today.
Interesting Facts About Glioblastoma Cancer in the US 2026
| Key Fact Category | Statistical Data | Source Year |
|---|---|---|
| Expected New Cases in 2025 | 13,930 cases | 2025 |
| Annual Deaths | More than 10,000 deaths per year | 2025 |
| Percentage of All Brain Tumors | 13.7% of all primary brain tumors | 2018-2022 |
| Percentage of Malignant Brain Tumors | 50.1% to 52.2% of all malignant brain and CNS tumors | 2018-2022 |
| Five-Year Survival Rate | Only 6.9% | 2015-2021 |
| Median Survival Time | 8 months overall; 12-15 months with treatment | 2021 |
| Incidence Rate | 3.19 per 100,000 population | 2018-2022 |
| Male-to-Female Ratio | 1.6 times higher in males (3.97 vs 2.53 per 100,000) | 2018-2022 |
| Median Age at Diagnosis | 64 to 66 years | 2018-2022 |
| Average Years of Life Lost | 19.8 years per death | 2019 |
| Incidence Trend | Declining by 0.58% per year from 2012-2022 | 2012-2022 |
| People Living with Diagnosis | 24,688 persons in the United States | 2019 |
Data Source: CBTRUS Statistical Report 2025, National Cancer Institute SEER Program 2018-2022, CDC National Program of Cancer Registries
The statistics reveal the substantial burden that glioblastoma places on American society. With 13,930 new cases expected in 2025 and over 10,000 deaths annually, glioblastoma maintains an exceptionally high mortality ratio. The disease accounts for 13.7% of all primary brain tumors but represents 50.1% to 52.2% of all malignant brain and CNS tumors, making it the most common malignant brain cancer in adults. The five-year survival rate of only 6.9% ranks among the lowest of all cancers.
The median survival of 8 months overall, extending to 12-15 months with treatment, highlights urgent need for therapeutic breakthroughs. The incidence rate of 3.19 per 100,000 population translates to thousands of diagnoses annually. Males face 1.6 times higher risk than females. The median age at diagnosis of 64-66 years means glioblastoma typically strikes during retirement years, with each death resulting in average loss of 19.8 years of expected life. A modest decline of 0.58% per year from 2012-2022 offers some hope, with 24,688 persons living with diagnosis in 2019.
Glioblastoma Incidence Rates by Demographics in the US 2026
| Demographic Category | Incidence Rate (per 100,000) | Key Statistics |
|---|---|---|
| Overall Population | 3.19 | Average annual age-adjusted rate |
| Males | 3.97 | 57% higher than females |
| Females | 2.53 | Lower overall incidence |
| White, Non-Hispanic | 3.71 | Highest incidence among racial groups |
| Black, Non-Hispanic | 2.45 | Lower than White population |
| Hispanic (Any Race) | 2.67 | Intermediate incidence |
| Asian/Pacific Islander | 1.89 | Lowest incidence rate |
| Age 0-14 Years | 0.18 | Rare in children |
| Age 15-39 Years | Lower incidence | Better survival outcomes |
| Age 40-59 Years | Increasing incidence | Peak begins |
| Age 60-74 Years | Highest incidence | Peak age group |
| Age 75+ Years | 20.1 | Remains elevated |
Data Source: CBTRUS Statistical Report 2025, SEER Program 2018-2022, CDC NPCR Data 2018-2022
Demographic patterns reveal significant disparities across gender, race, and age groups. The overall incidence rate of 3.19 per 100,000 population varies substantially by demographics. Males experience a 57% higher incidence compared to females, with rates of 3.97 per 100,000 versus 2.53 per 100,000. This male predominance suggests biological or hormonal factors influence susceptibility. Racial differences are pronounced, with White, non-Hispanic individuals showing highest incidence at 3.71 per 100,000, approximately 51% higher than Black, non-Hispanic populations at 2.45 per 100,000. Hispanic individuals demonstrate intermediate rates at 2.67 per 100,000, while Asian and Pacific Islander populations show lowest incidence at 1.89 per 100,000.
Age represents the most dramatic risk factor. The disease is rare in children aged 0-14 years at 0.18 per 100,000. Incidence begins rising substantially in the 40-59 age group, reaching peak levels in 60-74 years. The elderly aged 75 years and older maintain elevated rates of 20.1 per 100,000. The median age at diagnosis of 64-66 years means as America’s population ages, absolute case numbers will continue rising even if age-adjusted rates remain stable.
Geographic Distribution of Glioblastoma in the US 2026
| Geographic Region | Incidence Pattern | Notable Characteristics |
|---|---|---|
| Northeast | Higher incidence historically | Comprehensive cancer registry coverage |
| Southeast | Variable incidence | Mixed patterns across states |
| South-Central | Lower incidence reported | Some data suggest lower rates |
| Midwest | Moderate to higher incidence | Strong registry participation |
| Northwest | Higher incidence in some areas | Population-based variations |
| Southwest | Lower incidence patterns | Demographic factors influence |
| Rocky Mountain | Lower rates historically | Smaller population density |
| Urban Areas | Higher detection rates | Better access to diagnostic facilities |
| Rural Areas | Potential underdiagnosis | Limited healthcare access |
| Overall US Coverage | Nearly 100% population | Comprehensive SEER and NPCR data |
Data Source: SEER Program Geographic Analysis, CDC NPCR State-Level Data, CBTRUS Regional Reports
Geographic variations in glioblastoma incidence reveal patterns influenced by demographics, healthcare access, and environmental factors. While combined SEER and NPCR programs provide coverage for nearly 100% of the US population, regional differences exist. Historically, the Northeast and Midwest reported higher incidence rates, though these regions also have well-established registries and diagnostic infrastructure. South-Central regions showed lower reported incidence in some studies.
Urban-rural disparities represent another dimension. Urban areas with major medical centers may detect more cases through better MRI and CT access, while rural populations face barriers including distance to facilities and delayed diagnosis. Environmental factors have been investigated, though no single factor explains a large proportion of cases. As surveillance systems improve, future analyses will provide better understanding of true regional variation versus healthcare delivery artifacts.
Survival Rates and Prognosis in the US 2026
| Survival Measure | Rate/Duration | Patient Population |
|---|---|---|
| Five-Year Relative Survival | 6.9% | All glioblastoma patients |
| Median Overall Survival | 8 months | All patients (treated and untreated) |
| Median Survival with Treatment | 12-15 months | Patients receiving standard care |
| Median Survival with Optimal Treatment | 14.6 to 20.9 months | Patients receiving maximal resection, radiation, chemotherapy, and TTFields |
| One-Year Survival Rate | Approximately 25-40% | Varies by age and treatment |
| Two-Year Survival Rate | Less than 30% | Declining sharply after first year |
| Three-Year Survival Rate | Approximately 10-15% | Small subset of patients |
| Ten-Year Survival Rate | Less than 1% | Extremely rare long-term survivors |
| Median Survival Without Treatment | 4 months | Patients receiving no therapy |
| Median Survival for Recurrent Disease | 6 months | After first recurrence |
| Children (Age 0-19) Five-Year Survival | 19.4% to 25% | Better outcomes than adults |
| IDH-Mutant Glioblastoma Survival | Over 30 months | Better prognosis subtype |
Data Source: CBTRUS 2025 Report, SEER 2015-2021 Survival Data, National Brain Tumor Society, NCI SEER Stat Facts
Survival outcomes for glioblastoma remain devastatingly poor. The five-year relative survival rate of only 6.9% places glioblastoma among the deadliest cancers. The median overall survival of 8 months encompasses all patients, while those receiving standard therapy achieve 12-15 months. Patients with optimal treatment including Tumor Treating Fields may reach 14.6 to 20.9 months.
Survival patterns demonstrate the disease’s relentless nature. Approximately 25-40% of patients survive to one year, dropping to less than 30% at two years, and only 10-15% reach three years. By ten years, fewer than 1% remain alive. Patients without treatment face median survival of only 4 months. Following recurrence, median survival drops to 6 months. Pediatric patients aged 0-19 years show better outcomes with five-year survival of 19.4% to 25%. IDH-mutant glioblastomas demonstrate substantially better outcomes with median survival exceeding 30 months, though these represent only 10% of cases.
Age-Specific Incidence and Mortality in the US 2026
| Age Group | Incidence Rate | Mortality Pattern | Percentage of Cases |
|---|---|---|---|
| 0-14 Years | 0.18 per 100,000 | Rare; better survival | Less than 4% |
| 15-19 Years | Low incidence | Better outcomes | Minimal contribution |
| 20-39 Years | Increasing incidence | Improved survival | Approximately 10% |
| 40-59 Years | Rising sharply | Peak productive years affected | Approximately 35% |
| 60-74 Years | Peak incidence | Highest mortality burden | Approximately 40% |
| 75+ Years | 20.1 per 100,000 | High mortality; reduced treatment | Approximately 18% |
| Median Age at Diagnosis | 64-66 years | Critical demographic milestone | Middle-aged to elderly |
| Median Age at Death | Similar to diagnosis age | Short interval from diagnosis | Reflects poor survival |
Data Source: CBTRUS Statistical Report 2025, SEER Age-Specific Analysis 2018-2022, CDC Mortality Data
Age-specific patterns reveal striking variation across the lifespan. Among children aged 0-14 years, glioblastoma is uncommon, with an incidence of only 0.18 per 100,000, accounting for less than 4% of cases. When occurring in children, survival outcomes are modestly better than adults. Adolescents and young adults aged 15-39 years experience low but increasing incidence, generally demonstrating better survival outcomes, representing approximately 10% of cases.
Incidence rises dramatically in middle-aged adults, with the 40-59 age group experiencing sharply increasing rates and comprising roughly 35% of diagnoses. The highest incidence occurs in individuals aged 60-74 years, accounting for approximately 40% of cases and bearing the greatest disease burden. The elderly aged 75 and older maintain high incidence at 20.1 per 100,000, representing about 18% of cases, though often receiving less aggressive treatment. The median age at diagnosis of 64-66 years places glioblastoma as a disease of late middle age. As America’s population ages, absolute case numbers will likely rise even if age-adjusted rates remain stable.
Racial and Ethnic Disparities in the US 2026
| Race/Ethnicity | Incidence Rate (per 100,000) | Survival Outcomes | Key Disparities |
|---|---|---|---|
| White, Non-Hispanic | 3.71 | Reference group | Highest incidence |
| Black, Non-Hispanic | 2.45 | Poorer survival in most histologies | 34% lower incidence than White |
| Hispanic (Any Race) | 2.67 | Improved survival in most histologies | 28% lower incidence than White |
| Asian/Pacific Islander | 1.89 | Improved survival in many histologies | 49% lower incidence than White |
| American Indian/Alaska Native | Lower incidence | Poorer survival in many types | Small population limits analysis |
| IDH-Wildtype Glioblastoma | 2.74 per 100,000 | Worse prognosis | Median age 65 years |
| IDH-Mutant Glioblastoma | 0.47 per 100,000 | Better prognosis | Median age 38 years |
Data Source: CBTRUS Statistical Report 2025, SEER Program 2018-2022, CDC NPCR Race/Ethnicity Data
Racial and ethnic disparities in glioblastoma reflect genetic, environmental, socioeconomic, and healthcare access factors. White, non-Hispanic individuals experience the highest incidence at 3.71 per 100,000, substantially elevated compared to other groups. Black, non-Hispanic populations show 2.45 per 100,000, representing a 34% lower rate. Hispanic individuals demonstrate 2.67 per 100,000, approximately 28% lower than White populations, while Asian and Pacific Islander populations show 1.89 per 100,000, nearly 49% lower. These disparities suggest biological or genetic factors influence susceptibility.
Black, non-Hispanic individuals generally experience poorer survival outcomes, potentially reflecting socioeconomic differences, insurance coverage, and access to specialized care. Conversely, Hispanic and Asian/Pacific Islander populations often demonstrate improved survival in many histological subtypes. Molecular characterization reveals IDH-wildtype glioblastoma at 2.74 per 100,000 (median age 65 years) with worse prognosis, while IDH-mutant tumors occur at 0.47 per 100,000 (median age 38 years) with better survival. Addressing disparities requires improved access to care, increased minority clinical trial representation, and culturally competent healthcare delivery.
Treatment Patterns and Healthcare Utilization in the US 2026
| Treatment Modality | Utilization Rate | Clinical Impact |
|---|---|---|
| Surgery (Any Type) | Approximately 90% of eligible patients | First-line intervention |
| Maximal Safe Resection | 28.6% to 33.8% achieve gross-total resection | Improves survival significantly |
| Biopsy Only | 40% of patients | Diagnostic confirmation without resection |
| Radiation Therapy | Over 80% of patients | Standard component of care |
| Radiation Dose 60 Gy | 39.4% to 60.0% receive optimal dose | Increasing over time |
| Intensity-Modulated Radiotherapy | 16.3% to 62.0% (2004-2019 trend) | More precise delivery |
| Stereotactic Radiosurgery | 0.8% to 1.5% | Limited role in glioblastoma |
| Chemotherapy (Temozolomide) | Over 70% of patients | Standard of care since 2005 |
| Trimodal Therapy (Surgery, Radiation, Chemotherapy) | 48.7% to 60.0% (increasing trend) | Best survival outcomes |
| Tumor Treating Fields (TTFields) | Increasing adoption | Modest survival extension |
| Immunotherapy | 0.4% to 6.2% (15-fold increase) | Expanding clinical trial access |
| Clinical Trial Enrollment | Less than 10% of eligible patients | Limited access in many areas |
Data Source: National Cancer Database 2004-2019, SEER Treatment Data, Clinical Practice Patterns Studies
Treatment patterns for glioblastoma reflect standard care established by clinical trials. Surgery remains the cornerstone, with approximately 90% of eligible patients undergoing intervention. Maximal safe resection achieving gross-total removal occurs in only 28.6% to 33.8% of cases, while approximately 40% undergo biopsy only. Radiation therapy is administered to over 80% of patients, with 60 Gy delivery increasing from 39.4% to 60.0% in recent years. Intensity-modulated radiotherapy adoption surged from 16.3% to 62.0% between 2004-2019.
Chemotherapy with temozolomide has been standard since 2005, with over 70% of patients receiving this alkylating agent. Trimodal therapy (surgery, radiation, chemotherapy) increased from 48.7% to 60.0%, correlating with improved survival. Tumor Treating Fields offer modest survival extensions in selected patients. Immunotherapy utilization increased 15-fold from 0.4% to 6.2%, driven by clinical trial access. Despite advances, fewer than 10% of eligible patients enroll in trials, representing missed opportunities for novel therapies. Barriers include geographic distance, restrictive criteria, and insurance limitations.
Economic Burden and Quality of Life Impact in the US 2026
| Economic Measure | Estimated Impact | Patient Impact |
|---|---|---|
| Direct Medical Costs | $150,000 to $300,000+ per patient | Substantial financial burden |
| Hospital Admissions | Multiple hospitalizations typical | Frequent emergency visits |
| Surgical Costs | $40,000 to $80,000 average | Single major procedure |
| Radiation Therapy Costs | $25,000 to $50,000 for course | 6 weeks daily treatment |
| Chemotherapy Costs | $10,000 to $30,000+ annually | Ongoing monthly expenses |
| Tumor Treating Fields Costs | $21,000 per month | Long-term device therapy |
| Imaging Surveillance | $2,000 to $3,000 per MRI | Every 2-3 months monitoring |
| Supportive Care Costs | Variable; can exceed $50,000 | Anti-seizure drugs, steroids, rehabilitation |
| Lost Productivity | $100,000 to $500,000+ per patient | Inability to work; caregiver burden |
| Years of Life Lost | Average 19.8 years per death | Premature mortality |
| Quality of Life Decline | Severe functional impairment | Cognitive, motor, emotional deficits |
| Caregiver Burden | Substantial psychological and financial stress | Family impact extends beyond patient |
Data Source: Healthcare Cost Studies, Economic Burden Analyses, Quality of Life Research, CBTRUS 2025
The economic and humanistic burden of glioblastoma extends far beyond direct medical costs. Direct costs typically range from $150,000 to over $300,000 per patient. Surgical resection averages $40,000 to $80,000, radiation therapy costs $25,000 to $50,000, and chemotherapy generates annual costs of $10,000 to $30,000 or more. Tumor Treating Fields face monthly expenses of approximately $21,000.
Indirect costs from lost productivity rival direct expenses, with lost earnings of $100,000 to $500,000. The average 19.8 years of life lost per death represents immeasurable suffering. Quality of life deteriorates profoundly with progressive cognitive impairment and motor weakness. The caregiver burden places enormous stress on families. Total societal burden likely exceeds several billion dollars annually.
Risk Factors and Prevention Strategies in the US 2026
| Risk Factor | Evidence Level | Relative Risk |
|---|---|---|
| Prior Radiation Exposure to Head | Strong evidence | 2.0 to 5.0-fold increased risk |
| Hereditary Cancer Syndromes | Well-established | Variable; significant in rare families |
| Li-Fraumeni Syndrome | Established genetic association | Elevated lifetime risk |
| Neurofibromatosis Type 1 | Established genetic association | Increased risk of gliomas |
| Turcot Syndrome | Established genetic association | Elevated glioma risk |
| Lynch Syndrome | Possible association | Under investigation |
| Male Sex | Consistent demographic pattern | 1.6-fold higher incidence |
| White Race | Consistent demographic pattern | Higher incidence than other races |
| Increasing Age | Strongest demographic factor | Sharply rising risk after age 40 |
| Electromagnetic Fields | Inconsistent evidence | No definitive association established |
| Cell Phone Use | Extensive studies; no association | No confirmed risk increase |
| Diet and Nutrition | Limited evidence | No strong protective or risk factors |
| Occupational Exposures | Mixed evidence | Some studies suggest elevated risk in certain industries |
| Anti-Inflammatory Medication | Possible protective effect | Under investigation |
Data Source: Epidemiological Studies, NCI Risk Factor Analysis, CDC Guidelines, CBTRUS Research Literature
Risk factors for glioblastoma remain incompletely understood, with most cases occurring sporadically. The clearest environmental risk factor is prior radiation exposure to the head, carrying a 2.0 to 5.0-fold increased risk years after therapeutic radiation. Several hereditary cancer syndromes including Li-Fraumeni syndrome, Neurofibromatosis Type 1, and Turcot syndrome show elevated risk, though these account for less than 5% of cases.
Demographic risk factors including male sex, White race, and advancing age show consistent associations but cannot be modified. The 1.6-fold higher incidence in males suggests hormonal factors may influence susceptibility. Age represents the most potent risk factor, with incidence rising sharply after age 40. Extensive research on electromagnetic fields and cell phone use shows no definitive association with glioblastoma. Dietary factors and nutritional supplements lack strong protective or risk relationships.
Occupational exposures show mixed associations, with some studies suggesting elevated risk in petroleum, rubber, and agricultural industries. Anti-inflammatory medications may confer modest protective effects, though evidence remains preliminary. The lack of well-established modifiable risk factors means primary prevention remains largely unfeasible. The field needs larger studies investigating gene-environment interactions to identify actionable prevention strategies.
Current Research and Future Directions in the US 2026
| Research Area | Development Status | Potential Impact |
|---|---|---|
| Immunotherapy Approaches | Clinical trials expanding | Checkpoint inhibitors, vaccines |
| CAR T-Cell Therapy | Early-phase clinical trials | Engineered immune cells |
| Personalized Neoantigen Vaccines | Phase II/III trials | Individualized immunotherapy |
| Targeted Molecular Therapies | Multiple agents in development | EGFR, PDGFR, PI3K pathway inhibitors |
| IDH Inhibitors | FDA-approved for IDH-mutant tumors | Extending survival in molecular subset |
| Blood-Brain Barrier Disruption | Experimental approaches | Enhanced drug delivery |
| Convection-Enhanced Delivery | Clinical testing | Direct tumor infusion |
| Oncolytic Viral Therapy | Multiple trials ongoing | Viruses engineered to kill cancer cells |
| Gene Therapy | Clinical trials starting 2026 | Viral vectors delivering therapeutic genes |
| Liquid Biopsies | Research and clinical validation | Circulating tumor DNA detection |
| Advanced Imaging | Clinical implementation | Better treatment planning and monitoring |
| Artificial Intelligence | Integration into clinical care | Treatment optimization and prediction |
Data Source: Clinical Trials Database, FDA Approvals 2025, Research Literature, NIH Funding Priorities
Research efforts in glioblastoma have intensified with multiple promising approaches in clinical development. Immunotherapy represents the most active area, with trials examining checkpoint inhibitors, CAR T-cell therapies, and personalized neoantigen vaccines. While checkpoint inhibitors as monotherapy have disappointed, combination approaches show promise. Personalized vaccines are advancing through Phase II and III trials with encouraging early data.
Targeted molecular therapies exploit specific genetic alterations. IDH inhibitors achieved FDA approval for IDH-mutant gliomas, offering options for this 10% molecular subset with better prognosis. Agents targeting EGFR, PDGFR, and the PI3K/AKT/mTOR pathway remain in development. Drug delivery challenges persist due to the blood-brain barrier. Experimental approaches include blood-brain barrier disruption using focused ultrasound and convection-enhanced delivery through direct tumor infusion. Oncolytic viral therapy uses engineered viruses to kill cancer cells while stimulating immunity. A gene therapy approach beginning clinical trials in early 2026 uses viral vectors to deliver both toxic substances and immune-stimulating signals.
Diagnostic advances include liquid biopsies detecting circulating tumor DNA for non-invasive monitoring. Advanced imaging and artificial intelligence improve treatment planning and outcome prediction. Despite promising developments, translation to clinical benefit has proven difficult, with most experimental therapies failing Phase III trials. Challenges include tumor heterogeneity, resistance mechanisms, and blood-brain barrier limitations. Nevertheless, unprecedented research investment provides hope that transformative therapies will emerge to change this disease’s trajectory.
Disclaimer: This research report is compiled from publicly available sources. While reasonable efforts have been made to ensure accuracy, no representation or warranty, express or implied, is given as to the completeness or reliability of the information. We accept no liability for any errors, omissions, losses, or damages of any kind arising from the use of this report.

