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  • 1
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 15_suppl ( 2017-05-20), p. 3591-3591
    Kurzfassung: 3591 Background: Adjuvant chemotherapy is offered to most pts with Stage III CRC, and to a subset with Stage II disease deemed at high-risk for recurrence. Nevertheless, risk stratification strategies remain suboptimal. Detection of minimal residual disease (MRD) through ctDNA analysis has been shown to identify pts at high recurrence risk in Stage II CRC, but not Stage III disease. Methods: The next-generation sequencing based AVENIO ctDNA Surveillance Kit (Research Use Only) was used to identify single nucleotide variants (SNVs) in tumor tissue within a cohort of 145 Stage II and III CRC pts following R0 surgical resection (n = 86 and 59 respectively; median follow-up = 32.1 mo). The same assay was used to monitor ctDNA with a single post-operative blood sample (mean surgery-to-phlebotomy time: 10 days). Regions from 197 genes recurrently mutated in CRC were interrogated, and pts were classified as ctDNA positive (+) or negative (-) in plasma based on the detection of SNVs previously identified in tumor tissue. Results: Variants were identified in 99% of tumors (n = 144) with a median of 4 SNVs/sample (range 1-24) and all post-operative plasma samples were successfully profiled. Pts with detectable ctDNA (n = 12) displayed a significantly shorter 2-year relapse-free survival (RFS; 17% vs 88%; HR 10.3; 95% CI 2.3-46.9; p 〈 0.00001), time to recurrence (TTR; HR 20.6; 95% CI 3.1-139.0; p 〈 0.00001) and overall survival (OS; HR 3.4; 95% CI 0.5-25.8; p = 0.041) than ctDNA- pts (n = 132). 11 (92%) of ctDNA+ pts developed recurrence compared to 9 (7%) of ctDNA- pts. Monitoring multiple variants doubled sensitivity of MRD detection compared to tracking a single driver mutation. TTR was shorter in ctDNA+ vs ctDNA- Stage II (HR 23.1, 95% CI 0.28-1900.4; p 〈 0.00001) and stage III pts (HR 17.9; 95% CI 2.7-117.3, p 〈 0.00001). TTR of Stage II and III ctDNA- pts was similar (p = 0.7). Conclusions: Our results indicate that ctDNA analysis can detect MRD within days after complete resection of CRC and accurately identifies pts at high risk of recurrence in both Stage II and III CRC. MRD detection via ctDNA sequencing may allow personalization of adjuvant treatment strategies.
    Materialart: Online-Ressource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Sprache: Englisch
    Verlag: American Society of Clinical Oncology (ASCO)
    Publikationsdatum: 2017
    ZDB Id: 2005181-5
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 31, No. 4_suppl ( 2013-02-01), p. 377-377
    Kurzfassung: 377 Background: Assignment of patients (pts) with UICC-stage II colorectal cancer (CRC) to adjuvant therapy remains controversial. The clinical utility of histo-pathological parameters (pT 4 , L+, V+) as well as tumor RNA expression signatures like Oncotype Dx Colon Cancer Assay, ColoPrint, or Predictor C is low given their positive predictive value (PPV) of 0.13, 0.22, 0.19, and 0.33, respectively, when adjusted to an incidence of 10% for occurrence of metastatic disease (mets) within 3 years after diagnosis. Methods: We applied deep amplicon sequencing of 48 well-known cancer genes to DNA samples of primary tumors from 173 pts with UICC-stage II CRC using the Illumina MiSeq technology. Patients were selected from a prospective, multicenter clinical diagnostic study named MSKK. More than 6,500 patients with CRC have been recruited into this study conducted by 39 hospitals in Germany. 79 of the 173 pts had progression of disease events within 3 years after R0 resection including 40 pts with mets, 12 pts with local recurrences, and 27 pts with secondary malignancies. 94 pts remained progression-free. Results: Deep sequencing revealed a total of 2,221 sequence variations (SV) including missense, stop, InDel, noncoding, nonsense SV. 401 SV were in COSMIC, 750 SV in normal tissue. The remaining 1471 SV served as basis for development of SV-signatures (SVS) for prediction of progression events in a classical double-nested bootstrap approach in order to generate second order unbiased estimates of performance of SVS, namely sensitivity(S + ), specificity (S - ), PPV, and negative predictive value (NPV). The best SVS for prediction of metastases contained SV in less than 15 genes and has a S + of 0.41, S - of 0.93, PPV of 0.40, and NPV of 0.93 (incidence of metastasis: 10%). The best SVS for prediction any progression event has a S + of 0.33, S - of 0.93, PPV of 0.54, and NPV of 0.84 (incidence for any progression = 20.5%). Conclusions: This deep sequencing based prognostic tissue test with a PPV of 40% and a NPV of 93% represents a milestone over prognostic tests based on RNA expression. The increased PPV leads to more patients being treated correctly with adjuvant therapy.
    Materialart: Online-Ressource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Sprache: Englisch
    Verlag: American Society of Clinical Oncology (ASCO)
    Publikationsdatum: 2013
    ZDB Id: 2005181-5
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
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