{"id":3799,"date":"2023-08-04T17:59:22","date_gmt":"2023-08-04T17:59:22","guid":{"rendered":"https:\/\/dailyai.com\/?p=3799"},"modified":"2023-08-04T18:05:23","modified_gmt":"2023-08-04T18:05:23","slug":"ai-powered-blood-test-detects-cancers-in-single-dna-molecules","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2023\/08\/ai-powered-blood-test-detects-cancers-in-single-dna-molecules\/","title":{"rendered":"AI-drevet blodpr\u00f8ve oppdager kreft i enkelt-DNA-molekyler"},"content":{"rendered":"

Forskere ved Johns Hopkins Kimmel Cancer Center utvikler en ny blodpr\u00f8veteknologi kjent som GEMINI (Genome-wide Mutational Incidence for Non-Invasive detection of cancer).\u00a0<\/b><\/p>\n

Ved \u00e5 kombinere genomomfattende sekvensering av enkelt-DNA-molekyler som er blitt forkastet av svulster, med maskinl\u00e6ring (ML), kan testen gj\u00f8re det mulig \u00e5 oppdage lungekreft og andre kreftformer p\u00e5 et tidligere stadium.<\/span><\/p>\n

GEMINI-testen analyserer cellefritt DNA (cfDNA) fra svulster, og bruker ML til \u00e5 oppdage forskjeller i mutasjonsfrekvenser for kreft og ikke-kreft p\u00e5 tvers av genomet. H\u00f8yere poengsummer generert av modellen antyder en h\u00f8yere sannsynlighet for \u00e5 ha kreft.<\/span><\/p>\n

I laboratorietester ble GEMINI brukt p\u00e5 datatomografibilder og oppdaget over 90% lungekrefttilfeller, selv i tidlige stadier. Den <\/span>studie<\/span><\/a> funnene ble publisert i Nature Genetics.\u00a0<\/span><\/p>\n

Forskerne fokuserte hovedsakelig p\u00e5 p\u00e5visning av lungekreft i h\u00f8yrisikopopulasjoner. <\/span><\/p>\n

Det ble imidlertid ogs\u00e5 observert endrede mutasjonsprofiler i cfDNA fra pasienter med leverkreft, f\u00f8flekkreft og lymfom, s\u00e5 denne metoden kan brukes p\u00e5 tvers av ulike krefttyper.\u00a0<\/span><\/p>\n

Slik skapte forskerne GEMINI<\/span><\/h2>\n

For \u00e5 utvikle GEMINI studerte teamet genomsekvenser fra 2511 personer med 25 ulike kreftformer.\u00a0<\/span><\/p>\n

Ulike svulsttyper hadde forskjellige mutasjonsprofiler. Forskerne fant at genomiske regioner med h\u00f8y mutasjonsfrekvens var like mellom tumorvev og cfDNA fra blod hos pasienter med lungekreft, melanom eller B-celle non-Hodgkin-lymfom.\u00a0<\/span><\/p>\n

GEMINI-testen ble deretter brukt p\u00e5 cfDNA fra 365 personer med h\u00f8y risiko for lungekreft, og ga h\u00f8yere score hos personer med kreft enn hos dem uten.\u00a0<\/span><\/p>\n

Forskerne unders\u00f8kte ogs\u00e5 muligheten for \u00e5 integrere GEMINI med en tidligere test kjent som DELFI (DNA evaluation of fragments for early interception),<\/span><\/p>\n

Totalt identifiserte GEMINI og DELFI kreftsvulster korrekt i 91% av tilfellene i 89 pr\u00f8ver.<\/span><\/p>\n

\"ML
Maskinl\u00e6ring hjalp forskere med \u00e5 analysere kreftmark\u00f8rer i celler. Kilde: Natur<\/a>.<\/figcaption><\/figure>\n

Bemerkelsesverdig nok oppdaget GEMINI-testen avvik i cfDNA-mutasjonsprofilene flere \u00e5r f\u00f8r standarddiagnosen hos sju pasienter som ikke hadde noen p\u00e5visbare svulster p\u00e5 tidspunktet for blodpr\u00f8vetakingen.\u00a0<\/span><\/p>\n

Seks testet positivt med GEMINI og fikk senere diagnosen lungekreft mellom 231 og 1868 dager etter at pr\u00f8vene ble tatt.<\/span><\/p>\n

Fordeling av studien<\/span><\/h2>\n
    \n
  1. Blodpr\u00f8vetaking<\/b>: En blodpr\u00f8ve tas fra en person som kan v\u00e6re i risikosonen for \u00e5 utvikle kreft. Denne pr\u00f8ven inneholder cfDNA, sm\u00e5 DNA-fragmenter som har blitt skilt ut av celler i kroppen, inkludert potensielle tumorceller.<\/span><\/li>\n
  2. DNA-ekstraksjon og sekvensering<\/b>: cfDNA ekstraheres fra blodpr\u00f8ven og sekvenseres deretter. Det betyr at forskerne kartlegger rekkef\u00f8lgen p\u00e5 \"byggesteinene\" som DNA-et best\u00e5r av. Dette hjelper dem med \u00e5 identifisere eventuelle endringer eller mutasjoner i DNA-et.<\/span><\/li>\n
  3. Analyse av DNA-forandringer<\/b>: Hvert enkelt DNA-molekyl analyseres for eventuelle sekvensendringer, slik at forskerne kan kartlegge mutasjonsprofiler over hele genomet. I bunn og grunn leter de etter m\u00f8nstre i mutasjonene som kan tyde p\u00e5 kreft.<\/span><\/li>\n
  4. Maskinl\u00e6ring<\/b>: En maskinl\u00e6ringsmodell, som er trent opp til \u00e5 gjenkjenne forskjellen mellom kreftfremkallende og ikke-kreftfremkallende mutasjonsfrekvenser i ulike omr\u00e5der av genomet, brukes deretter til \u00e5 analysere mutasjonsprofilene. Maskinl\u00e6ringsmodellen gir deretter en poengsum fra 0 til 1, der en h\u00f8yere poengsum indikerer en h\u00f8yere sannsynlighet for kreft.<\/span><\/li>\n
  5. Ytterligere validering og testing<\/b>: Hvis GEMINI-poengsummen er h\u00f8y, noe som tyder p\u00e5 kreft, brukes tilleggstester som datatomografi og DELFI-testen (som p\u00e5viser endringer i st\u00f8rrelsen og fordelingen av cfDNA-fragmenter i genomet) for \u00e5 bekrefte diagnosen og p\u00e5vise kreftstadiet. Denne kombinasjonen av tester har vist seg \u00e5 v\u00e6re sv\u00e6rt effektiv, og over 90% av lungekrefttilfellene i studien ble oppdaget.<\/span><\/li>\n<\/ol>\n

    Dette er nok en spennende studie som avsl\u00f8rer en ny anvendelse av maskinl\u00e6ring i medisinsk diagnostikk, denne gangen for \u00e5 analysere kreft p\u00e5 celleniv\u00e5. <\/span><\/p>\n

    Det kreves st\u00f8rre kliniske studier for \u00e5 validere verkt\u00f8yet f\u00f8r det kan bli tilgjengelig for klinisk bruk.<\/span><\/p>\n

    Denne uken har en AI-st\u00f8ttet brystkreftscreening<\/a> arbeidsflyten forbedret hastigheten og effektiviteten i vurderingen av mammografier for kreft.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Forskere ved Johns Hopkins Kimmel Cancer Center er i ferd med \u00e5 utvikle en ny blodpr\u00f8veteknologi kjent som GEMINI (Genome-wide Mutational Incidence for Non-Invasive detection of cancer). Ved \u00e5 kombinere genomomfattende sekvensering av enkelt-DNA-molekyler som er blitt forkastet av svulster, med maskinl\u00e6ring (ML), kan testen gj\u00f8re det mulig \u00e5 oppdage lungekreft og andre kreftformer tidligere. GEMINI-testen analyserer cellefritt DNA (cfDNA) fra svulster, og bruker ML til \u00e5 oppdage forskjeller i mutasjonsfrekvenser for kreft og ikke-kreft p\u00e5 tvers av genomet. H\u00f8yere poengsummer generert av modellen antyder en h\u00f8yere sannsynlighet for \u00e5 ha kreft. I laboratorietester ble GEMINI brukt p\u00e5 datatomografibilder<\/p>","protected":false},"author":2,"featured_media":3801,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[203,274,105,101],"class_list":["post-3799","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-biotech","tag-cancer","tag-machine-learning","tag-medtech"],"yoast_head":"\nAI-powered blood test detects cancers in single DNA molecules | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/nb\/2023\/08\/ai-powered-blood-test-detects-cancers-in-single-dna-molecules\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI-powered blood test detects cancers in single DNA molecules | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers at the Johns Hopkins Kimmel Cancer Center are advancing a novel blood testing technology known as GEMINI (Genome-wide Mutational Incidence for Non-Invasive detection of cancer).\u00a0 By merging genome-wide sequencing of single DNA molecules discarded by tumors with machine learning (ML), the test may enable earlier detection of lung and other cancers. 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