{ "id": "eprwn2j3kb", "slug": "multi-cancer-early-detection", "title": "Multi-cancer early detection", "updated": "2026-10-15", "topic_path": [ { "id": "life", "label": "Life and health", "api_url": "https://www.edgepedia.org/api/v1/topics/life" }, { "id": "life.health", "label": "Human health and medicine", "api_url": "https://www.edgepedia.org/api/v1/topics/life.health" }, { "id": "life.health.clinical", "label": "Clinical assessment and procedures", "api_url": "https://www.edgepedia.org/api/v1/topics/life.health.clinical" }, { "id": "life.health.clinical.clinical-diagnostics", "label": "Diagnosis and clinical assessment", "api_url": "https://www.edgepedia.org/api/v1/topics/life.health.clinical.clinical-diagnostics" }, { "id": "life.health.clinical.clinical-diagnostics.laboratory-and-in-vitro-diagnostics", "label": "Laboratory and in-vitro diagnostics", "api_url": "https://www.edgepedia.org/api/v1/topics/life.health.clinical.clinical-diagnostics.laboratory-and-in-vitro-diagnostics" }, { "id": "life.health.clinical.clinical-diagnostics.laboratory-and-in-vitro-diagnostics.hematology-and-coagulation-testing", "label": "Hematology and coagulation testing", "api_url": "https://www.edgepedia.org/api/v1/topics/life.health.clinical.clinical-diagnostics.laboratory-and-in-vitro-diagnostics.hematology-and-coagulation-testing" } ], "geo": [ { "id": "geo.nongeo.t2001.life.health.clinical.clinical-diagnostics.laboratory-and-in-vitro-diagnostics", "label": "Non-geographic · 2001 to 2020: Laboratory and in-vitro diagnostics", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t2001.life.health.clinical.clinical-diagnostics.laboratory-and-in-vitro-diagnostics", "path": [ { "id": "geo.nongeo", "label": "Non-geographic", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo" }, { "id": "geo.nongeo.t2001", "label": "Non-geographic · 2001 to 2020", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t2001" }, { "id": "geo.nongeo.t2001.life", "label": "Life and health", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t2001.life" }, { "id": "geo.nongeo.t2001.life.health", "label": "Human health and medicine", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t2001.life.health" }, { "id": "geo.nongeo.t2001.life.health.clinical", "label": "Clinical assessment and procedures", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t2001.life.health.clinical" }, { "id": "geo.nongeo.t2001.life.health.clinical.clinical-diagnostics", "label": "Diagnosis and clinical assessment", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t2001.life.health.clinical.clinical-diagnostics" }, { "id": "geo.nongeo.t2001.life.health.clinical.clinical-diagnostics.laboratory-and-in-vitro-diagnostics", "label": "Laboratory and in-vitro diagnostics", "api_url": "https://www.edgepedia.org/api/v1/geo/geo.nongeo.t2001.life.health.clinical.clinical-diagnostics.laboratory-and-in-vitro-diagnostics" } ] } ], "excerpt": "Multi-cancer early detection (MCED) is a screening approach that uses one blood test to look for signals of many cancer types at once in people with no symptoms.", "snippet": "Multi-cancer early detection (MCED) is a screening approach that uses one blood test to look for signals of many cancer types at once in people with no symptoms.", "node": "life.health.clinical.clinical-diagnostics.laboratory-and-in-vitro-diagnostics.hematology-and-coagulation-testing", "markdown": "# Multi-cancer early detection\n\nMulti-cancer early detection (MCED) is a screening approach that uses a single blood test to look for signals of many cancer types at once in people who have no symptoms. Most MCED tests measure cell-free DNA (cfDNA), fragments of DNA that circulate in plasma, reading methylation patterns, mutations, or fragmentation signatures, sometimes together with blood proteins. A positive result reports a detected cancer signal and, for some tests, a predicted tissue of origin that steers the follow-up diagnostic workup. No MCED test has been approved by the US Food and Drug Administration (FDA); Galleri is prescribed in the United States as a laboratory-developed test (LDT), and no completed randomized trial has shown a reduction in cancer mortality.[1](https://www.fda.gov/media/195033/download) • [2](https://ascopubs.org/doi/10.1200/EDBK-25-473834)\n\n| Item | Detail |\n|---|---|\n| Analytes | cfDNA methylation, mutation profiles, and fragmentation patterns; some tests add proteins such as CA-125 and CEA[3](https://www.annualreviews.org/content/journals/10.1146/annurev-med-050522-033624) |\n| Example output (Galleri) | Cancer signal positive or negative, plus one or two predicted cancer signal origins from up to 21 options[4](https://bjgp.org/content/74/745/380) |\n| Validation performance (CCGA3) | Specificity 99.5%; overall sensitivity 51.5%, from 16.8% at stage I to 90.1% at stage IV[5](https://pubmed.ncbi.nlm.nih.gov/34176681/) |\n| Screening performance (PATHFINDER 2) | Cancer detection rate 0.54%; positive predictive value 60.3%; specificity 99.64%; 185 people screened per cancer detected[6](https://www.nature.com/articles/s41591-026-04618-w) |\n| Trial evidence | NHS-Galleri randomized 142,250 people; aggregate PPV 52.0%; the primary endpoint of reduced stage III/IV cancer was not met[7](https://www.nature.com/articles/s41591-026-04652-8) |\n| Regulatory status | No FDA-approved MCED test; Galleri marketed as a CLIA laboratory-developed test; FDA premarket approval review scheduled September 23, 2026[1](https://www.fda.gov/media/195033/download) • [8](https://www.thelancet.com/journals/lancet/article/PIIS0140-6736%2826%2901909-4/fulltext) |\n\n## How it works\n\nTumors shed DNA into the bloodstream, and MCED tests interrogate features of circulating cell-free DNA: mutation profiles, fragmentation patterns, and methylation signatures.[3](https://www.annualreviews.org/content/journals/10.1146/annurev-med-050522-033624) The Galleri test, developed in the Circulating Cell-free Genome Atlas (CCGA) study, analyzes cfDNA by bisulfite sequencing targeting more than 100,000 informative methylation regions.[9](https://doi.org/10.1016/j.annonc.2020.02.011) Because methylation carries tissue-specific patterns, the same readout both detects cancer and predicts where it arose. The classifier combines source models recognizing methylation patterns per region with a pair of ensemble logistic regressions, one for cancer versus non-cancer status and one for tissue of origin; the targeted panel interrogates about 1 million of the roughly 30 million CpG sites genome-wide.[9](https://doi.org/10.1016/j.annonc.2020.02.011) In head-to-head comparison within CCGA, whole-genome bisulfite sequencing outperformed whole-genome sequencing and targeted sequencing of copy-number variants and single-nucleotide variants, because mutation-based classification is confounded by clonal hematopoiesis of indeterminate potential (CHIP), age-related mutations in blood cells that mimic cancer signals.[9](https://doi.org/10.1016/j.annonc.2020.02.011) Tissue of origin was predicted in 96% of samples with cancer-like signal, accurately in 93%.[9](https://doi.org/10.1016/j.annonc.2020.02.011)\n\n## How it is done\n\n**The workflow** begins when a clinician orders the test and blood is drawn; trial protocols collected 20 mL across two tubes.[10](https://doi.org/10.3390/cancers14194818) The Galleri laboratory sequence is plasma isolation from whole blood, cfDNA extraction, bisulfite conversion, library preparation, [DNA sequencing](https://www.edgepedia.org/dna-sequencing), and computational analysis to detect methylation patterns.[1](https://www.fda.gov/media/195033/download) Libraries are enriched for more than 100,000 genomic regions and sequenced paired-end on an Illumina NovaSeq 6000; a sample is called positive when its score exceeds the 99.4th percentile of non-cancer training samples, after which a separate classifier predicts the cancer signal origin.[11](https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0283001) Results are returned within 10 working days of sample receipt.[12](https://pmc.ncbi.nlm.nih.gov/articles/PMC11024170/) The report gives a Cancer Signal (positive or negative), a Cancer Signal Origin, and a Signal Origin–Supplemental.[1](https://www.fda.gov/media/195033/download) A positive result triggers a diagnostic workup directed at the predicted origin following standard recommendations; if no cancer is found, CT chest–abdomen–pelvis is recommended before discharge.[10](https://doi.org/10.3390/cancers14194818) In PATHFINDER, median time to diagnostic resolution was 79 days, 57 days for true positives, and 162 days for false positives.[13](https://www.thelancet.com/journals/lancet/article/PIIS0140-6736%2823%2901700-2/fulltext)\n\n## Origin\n\nSensitive detection of circulating tumor DNA across early- and late-stage malignancies was reported by Bettegowda and colleagues in [Science Translational Medicine](https://www.edgepedia.org/science-translational-medicine) in 2014, establishing the sensitivity limits that MCED tests build on.[14](https://doi.org/10.1126/scitranslmed.3007094) Reviews date the field's founding reports to 2018 through 2020.[3](https://www.annualreviews.org/content/journals/10.1146/annurev-med-050522-033624) Cohen and colleagues reported CancerSEEK, which combines eight circulating protein biomarkers with tumor-specific DNA mutations, in Science in 2018.[15](https://doi.org/10.1126/science.aar3247) Lennon and colleagues reported DETECT-A, which combined a blood test with confirmatory PET-CT, in Science in 2020.[16](https://doi.org/10.1126/science.abb9601) Liu and colleagues reported the methylation-based detection and localization test in Annals of Oncology in 2020.[9](https://doi.org/10.1016/j.annonc.2020.02.011) The test is Galleri.[17](https://grail.com/wp-content/uploads/2021/07/CCGA3.LaySummary.MARC_.16Jul2021.pdf) Nadauld and colleagues reported the PATHFINDER implementation study in Cancers in 2021,[18](https://doi.org/10.3390/cancers13143501) and Neal and colleagues reported the design of the NHS-Galleri randomized trial in Cancers in 2022.[10](https://doi.org/10.3390/cancers14194818)\n\n## Variants\n\n**Named platforms** differ in analyte and classifier. Galleri uses targeted [methylation sequencing](https://www.edgepedia.org/methylation-sequencing) of cfDNA and reports one or two of up to 21 cancer signal origins;[4](https://bjgp.org/content/74/745/380) its machine-learning classifier was trained on more than 15,000 CCGA participants enrolled 2016–2018.[12](https://pmc.ncbi.nlm.nih.gov/articles/PMC11024170/) CancerSEEK evaluates mutations in 61 regions of 16 cancer-driver genes and measures eight proteins (CA19-9, CA-125, CEA, HGF, MPO, OPN, PRL, and TIMP-1).[19](https://www.mdpi.com/2075-1729/14/7/896) Exact Sciences' Cancerguard combines a plasma protein immunoassay with methylated cfDNA detected by real-time PCR after bisulfite conversion, and does not identify the type or location of a suspected cancer.[20](https://www.exactsciences.com/-/media/project/exactcore/documents/cancerguard/lbl-11406-mced-test-information-for-healthcare-providers_-rev-1-final.pdf) Fragmentation-based approaches such as DELFI read genome-wide cfDNA size patterns.[3](https://www.annualreviews.org/content/journals/10.1146/annurev-med-050522-033624) At least 15 MCED tests are in various phases of development.[21](https://pmc.ncbi.nlm.nih.gov/articles/PMC11783158/) Gao and colleagues reported the THUNDER cfDNA methylation test in Annals of Oncology in 2023.[22](https://doi.org/10.1016/j.annonc.2023.02.010)\n\n## Applications\n\nIn the CCGA3 independent validation set (4077 participants: 2823 with cancer, 1254 without), specificity was 99.5% and overall sensitivity 51.5%, rising from 16.8% at stage I to 90.1% at stage IV; sensitivity for stages I–III was 67.6% in 12 prespecified cancers causing about two-thirds of annual US cancer deaths, and cancer signal origin accuracy in true positives was 88.7%.[5](https://pubmed.ncbi.nlm.nih.gov/34176681/) PATHFINDER 2 (35,878 participants) reported a 0.54% cancer detection rate, 60.3% PPV, 99.64% specificity, episode sensitivity of 39.3% for all cancers and 69.8% in a 12-cancer subgroup, and 185 people screened per cancer detected.[6](https://www.nature.com/articles/s41591-026-04618-w) NHS-Galleri randomized 142,250 people aged 50–77; positivity was 1.03%, 0.80%, and 0.90% across three rounds with PPVs of 58.0%, 50.4%, and 45.8%, specificity of 99.50–99.60%, and episode sensitivity of 26.7–37.2% for all cancers.[7](https://www.nature.com/articles/s41591-026-04652-8) In symptomatic patients (SYMPLIFY, 5461 participants), PPV was 75.5% and sensitivity 66.3%.[23](https://doi.org/10.1016/s1470-2045%2823%2900277-2) DETECT-A screened 10,006 women with 27.1% sensitivity, 19.4% PPV, and 661 blood tests per cancer diagnosed.[21](https://pmc.ncbi.nlm.nih.gov/articles/PMC11783158/) Detection varies sharply by tumor type: sensitivity exceeds 80% for esophageal, ovarian, and pancreatic cancers and falls below 20% for prostate and kidney;[4](https://bjgp.org/content/74/745/380) for CancerSEEK, sensitivity was 98.1% for ovarian versus 33.4% for breast cancer.[19](https://www.mdpi.com/2075-1729/14/7/896)\n\n## Limitations and alternatives\n\nNo completed controlled study has shown that MCED screening reduces mortality, advanced cancers, or improves quality of life.[24](https://www.ncbi.nlm.nih.gov/books/NBK618307/) The NHS-Galleri trial's primary endpoint, a statistically significant reduction in stage III/IV cancers in 12 prespecified types, was not met (706 vs 688 diagnoses; incidence rate ratio 1.03; p=0.6324), although stage IV cancers fell 14% (IRR 0.86) after three years.[25](https://ascopubs.org/doi/10.1200/JCO.2026.44.17_suppl.LBA100) Overall cancer risk was 0.3% higher in the tested arm (5.1% vs 4.8%), which a Lancet commentary reads as possible overdiagnosis, while the trial investigators report the 16% increase in stage I/II cancers as earlier detection; the two interpretations remain unreconciled.[8](https://www.thelancet.com/journals/lancet/article/PIIS0140-6736%2826%2901909-4/fulltext) • [25](https://ascopubs.org/doi/10.1200/JCO.2026.44.17_suppl.LBA100) False positives currently outnumber true positives in screening settings,[8](https://www.thelancet.com/journals/lancet/article/PIIS0140-6736%2826%2901909-4/fulltext) and in one cohort 101 of 108 women with false-positive results had unnecessary PET-CT radiation exposure.[24](https://www.ncbi.nlm.nih.gov/books/NBK618307/) Against this, the roughly 0.5% false-positive rate compares with 9.0–14.5% for current single-cancer screening tests,[5](https://pubmed.ncbi.nlm.nih.gov/34176681/) and the aggregate NHS-Galleri PPV of 52.0% exceeds the roughly 6% diagnosis rate of urgent suspected-cancer referrals in England.[7](https://www.nature.com/articles/s41591-026-04652-8) Because indolent tumors shed less DNA, ctDNA-based tests may be less likely to over-detect slow-growing cancers, potentially reducing overdiagnosis.[4](https://bjgp.org/content/74/745/380)\n\n**Regulatory status** remains investigational: no MCED test has FDA approval, and Galleri is available only as a CLIA laboratory-developed test, for which the FDA considers diagnostic accuracy rather than clinical outcomes.[2](https://ascopubs.org/doi/10.1200/EDBK-25-473834) GRAIL submitted the final module of its premarket approval application on January 29, 2026;[26](https://www.nasdaq.com/press-release/grail-submits-fda-premarket-approval-application-gallerir-multi-cancer-early) FDA review was scheduled for September 23, 2026, and the Nancy Gardner Sewell Medicare MCED Screening Coverage Act (H.R.842) would mandate Medicare coverage beginning in 2028, contingent on FDA approval.[8](https://www.thelancet.com/journals/lancet/article/PIIS0140-6736%2826%2901909-4/fulltext) The FDA's own reanalysis of PATHFINDER 2 gives 12-month episode sensitivity of 35.0%, lower than the 39.3% in the peer-reviewed report.[1](https://www.fda.gov/media/195033/download) • [6](https://www.nature.com/articles/s41591-026-04618-w) In January 2024 the NCI launched the Cancer Screening Research Network, whose Vanguard Study is evaluating MCED assays ahead of a randomized trial with cancer mortality as the primary endpoint.[27](https://aacrjournals.org/cebp/article/34/10/1787/765940/Framework-to-Select-Multi-Cancer-Detection-Assays)\n\n## References\n\n1. [MCGP Sept. 23, 2026 FDA Presentation, Galleri PMA (FDA)](https://www.fda.gov/media/195033/download)\n2. [Multicancer Early Detection Tests at a Crossroads: Commercial Availability Ahead of Definitive Evidence (ASCO Educational Book)](https://ascopubs.org/doi/10.1200/EDBK-25-473834)\n3. [Multi-Cancer Early Detection: The New Frontier in Cancer Early Detection (Annual Review of Medicine)](https://www.annualreviews.org/content/journals/10.1146/annurev-med-050522-033624)\n4. [A multi-cancer early detection (MCED) test: clinical update for GPs (British Journal of General Practice)](https://bjgp.org/content/74/745/380)\n5. [Clinical validation of a targeted methylation-based multi-cancer early detection test using an independent validation set (CCGA3, Annals of Oncology 2021)](https://pubmed.ncbi.nlm.nih.gov/34176681/)\n6. [Performance and safety of a multi-cancer early detection test: the PATHFINDER 2 study (Nature Medicine)](https://www.nature.com/articles/s41591-026-04618-w)\n7. [Performance of a multi-cancer early detection test in the randomized controlled NHS-Galleri trial (Nature Medicine)](https://www.nature.com/articles/s41591-026-04652-8)\n8. [fulltext (thelancet.com)](https://www.thelancet.com/journals/lancet/article/PIIS0140-6736%2826%2901909-4/fulltext)\n9. [M.C. Liu and colleagues (2020). Sensitive and specific multi-cancer detection and localization using methylation signatures in cell-free DNA. Annals of Oncology.](https://doi.org/10.1016/j.annonc.2020.02.011)\n10. [Richard D. Neal and colleagues (2022). Cell-Free DNA–Based Multi-Cancer Early Detection Test in an Asymptomatic Screening Population (NHS-Galleri): Design of a Pragmatic, Prospective Randomised Controlled Trial. Cancers.](https://doi.org/10.3390/cancers14194818)\n11. [Analytical validation of a multi-cancer early detection test with cancer signal origin using a cell-free DNA–based targeted methylation assay (PLOS One)](https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0283001)\n12. [A multi-cancer early detection blood test using machine learning detects early-stage cancers lacking USPSTF-recommended screening (npj Precision Oncology)](https://pmc.ncbi.nlm.nih.gov/articles/PMC11024170/)\n13. [fulltext (thelancet.com)](https://www.thelancet.com/journals/lancet/article/PIIS0140-6736%2823%2901700-2/fulltext)\n14. [Chetan Bettegowda and colleagues (2014). Detection of Circulating Tumor DNA in Early- and Late-Stage Human Malignancies. Science Translational Medicine.](https://doi.org/10.1126/scitranslmed.3007094)\n15. [Joshua D. Cohen and colleagues (2018). Detection and localization of surgically resectable cancers with a multi-analyte blood test. Science.](https://doi.org/10.1126/science.aar3247)\n16. [Anne Marie Lennon and colleagues (2020). Feasibility of blood testing combined with PET-CT to screen for cancer and guide intervention. Science.](https://doi.org/10.1126/science.abb9601)\n17. [CCGA3 lay summary: Clinical validation of a targeted methylation-based MCED test (Annals of Oncology, 2021)](https://grail.com/wp-content/uploads/2021/07/CCGA3.LaySummary.MARC_.16Jul2021.pdf)\n18. [Lincoln D. Nadauld and colleagues (2021). The PATHFINDER Study: Assessment of the Implementation of an Investigational Multi-Cancer Early Detection Test into Clinical Practice. Cancers.](https://doi.org/10.3390/cancers13143501)\n19. [Understanding the Landscape of Multi-Cancer Detection Tests: The Current Data and Clinical Considerations (Life, 2024)](https://www.mdpi.com/2075-1729/14/7/896)\n20. [Exact Sciences MCED test information for healthcare providers (Cancerguard)](https://www.exactsciences.com/-/media/project/exactcore/documents/cancerguard/lbl-11406-mced-test-information-for-healthcare-providers_-rev-1-final.pdf)\n21. [Multi-Cancer Early Detection Tests: State of the Art and Implications for Radiologists (RadioGraphics)](https://pmc.ncbi.nlm.nih.gov/articles/PMC11783158/)\n22. [Q. Gao and colleagues (2023). Unintrusive multi-cancer detection by circulating cell-free DNA methylation sequencing (THUNDER): development and independent validation studies. Annals of Oncology.](https://doi.org/10.1016/j.annonc.2023.02.010)\n23. [Multi-cancer early detection test in symptomatic patients referred for cancer investigation in England and Wales (SYMPLIFY): a large-scale, observational cohort study (The Lancet Oncology, 2023)](https://doi.org/10.1016/s1470-2045%2823%2900277-2)\n24. [Blood-Based Tests for Multiple Cancer Screening: A Systematic Review (AHRQ, 2025)](https://www.ncbi.nlm.nih.gov/books/NBK618307/)\n25. [NHS-Galleri: Primary results from a randomised controlled trial (ASCO 2026 abstract LBA100)](https://ascopubs.org/doi/10.1200/JCO.2026.44.17_suppl.LBA100)\n26. [GRAIL Submits FDA Premarket Approval Application for the Galleri® Multi-Cancer Early Detection Test (PR Newswire, Jan. 29, 2026)](https://www.nasdaq.com/press-release/grail-submits-fda-premarket-approval-application-gallerir-multi-cancer-early)\n27. [Framework to Select Multi-Cancer Detection Assays in the National Cancer Institute's Vanguard Study (Cancer Epidemiology, Biomarkers & Prevention)](https://aacrjournals.org/cebp/article/34/10/1787/765940/Framework-to-Select-Multi-Cancer-Detection-Assays)\n\n---\n*Topic: Encyclopedia › Life and health › Human health and medicine › Clinical assessment and procedures › Diagnosis and clinical assessment › Laboratory and in-vitro diagnostics › Hematology and coagulation testing*\n\n*Initially written Sep 29, 2026 · Edited: Oct 15, 2026*\n\n*Copyright 2026 EdgeChat AI, a subsidiary of Biostate AI.*\n\nLicense: Edgepedia Community License 1.0, https://www.edgepedia.org/edgepedia/license\n", "same_as": [], "url": "https://www.edgepedia.org/multi-cancer-early-detection", "markdown_url": "https://www.edgepedia.org/multi-cancer-early-detection.md", "license": { "name": "Edgepedia Community License 1.0", "url": "https://www.edgepedia.org/edgepedia/license", "summary": "Free with credit, commercial use included. AI training is open to everyone. For other uses, organizations over USD 100M in revenue or 100M monthly users license separately.", "spdx": "LicenseRef-Edgepedia-Community-1.0" }, "credit": "\"Multi-cancer early detection\", Edgepedia (EdgeChat), https://www.edgepedia.org/multi-cancer-early-detection. Edgepedia Community License 1.0.", "credit_md": "\"[Multi-cancer early detection](https://www.edgepedia.org/multi-cancer-early-detection)\", Edgepedia (EdgeChat), [https://www.edgepedia.org/multi-cancer-early-detection](https://www.edgepedia.org/multi-cancer-early-detection). [Edgepedia Community License 1.0](https://www.edgepedia.org/edgepedia/license).", "credit_html": "\"Multi-cancer early detection\", Edgepedia (EdgeChat), https://www.edgepedia.org/multi-cancer-early-detection. Edgepedia Community License 1.0.", "speakable": "Multi-cancer early detection is a screening approach that uses one blood test to look for signals of many cancer types at once in people with no symptoms." }