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Cancer cell, 2022-09, Vol.40 (9), p.999-1009.e6
2022

Details

Autor(en) / Beteiligte
Titel
Detection and localization of early- and late-stage cancers using platelet RNA
Ist Teil von
  • Cancer cell, 2022-09, Vol.40 (9), p.999-1009.e6
Ort / Verlag
United States: Elsevier Inc
Erscheinungsjahr
2022
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
  • Cancer patients benefit from early tumor detection since treatment outcomes are more favorable for less advanced cancers. Platelets are involved in cancer progression and are considered a promising biosource for cancer detection, as they alter their RNA content upon local and systemic cues. We show that tumor-educated platelet (TEP) RNA-based blood tests enable the detection of 18 cancer types. With 99% specificity in asymptomatic controls, thromboSeq correctly detected the presence of cancer in two-thirds of 1,096 blood samples from stage I–IV cancer patients and in half of 352 stage I–III tumors. Symptomatic controls, including inflammatory and cardiovascular diseases, and benign tumors had increased false-positive test results with an average specificity of 78%. Moreover, thromboSeq determined the tumor site of origin in five different tumor types correctly in over 80% of the cancer patients. These results highlight the potential properties of TEP-derived RNA panels to supplement current approaches for blood-based cancer screening. [Display omitted] •Eighteen tumor types are identified by blood platelet RNA analysis with high specificity•Tumor-type-associated platelet RNA profiles allow for tumor-site-of-origin analysis•Platelets may be educated by multiple locations of tumor activity•Platelet RNAs may complement the field of liquid biopsies In ’t Veld et al. employ blood platelet RNA profiles to develop a highly specific pan-cancer blood test covering 18 different tumor types and enabling localization of the primary tumor. This study highlights the value of platelets for early cancer detection and can serve as a complementary biosource for “liquid biopsies.”
Sprache
Englisch
Identifikatoren
ISSN: 1535-6108, 1878-3686
eISSN: 1878-3686
DOI: 10.1016/j.ccell.2022.08.006
Titel-ID: cdi_swepub_primary_oai_DiVA_org_umu_199458

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