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Individualized tumor-informed circulating tumor DNA analysis for postoperative monitoring of non-small cell lung cancer by Kezhong Chen & Fan Yang & Haifeng Shen & Chenyang Wang & Xi Li & Olga Chervova & Shuailai Wu & Fujun Qiu & Di Peng & Xin Zhu & Shannon Chuai & Stephan Beck & Nnennaya Kanu & David Carbone & Zhihong Zhang & Jun Wang instant download

  • SKU: EBN-235105570
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Instant download (eBook) Individualized tumor-informed circulating tumor DNA analysis for postoperative monitoring of non-small cell lung cancer after payment.
Authors:Kezhong Chen & Fan Yang & Haifeng Shen & Chenyang Wang & Xi Li & Olga Chervova & Shuailai Wu & Fujun Qiu & Di Peng & Xin Zhu & Shannon Chuai & Stephan Beck & Nnennaya Kanu & David Carbone & Zhihong Zhang & Jun Wang
Pages:updating ...
Year:2023
Publisher:x
Language:english
File Size:5.19 MB
Format:pdf
Categories: Ebooks

Product desciption

Individualized tumor-informed circulating tumor DNA analysis for postoperative monitoring of non-small cell lung cancer by Kezhong Chen & Fan Yang & Haifeng Shen & Chenyang Wang & Xi Li & Olga Chervova & Shuailai Wu & Fujun Qiu & Di Peng & Xin Zhu & Shannon Chuai & Stephan Beck & Nnennaya Kanu & David Carbone & Zhihong Zhang & Jun Wang instant download

Cancer Cell, 41 (2023) 1749-1768. doi:10.1016/j.ccell.2023.08.010

SUMMARYWe report a personalized tumor-informed technology, Patient-specific pROgnostic and Potential tHErapeutic marker Tracking (PROPHET) using deep sequencing of 50 patient-specific variants to detect molecularresidual disease (MRD) with a limit of detection of 0.004%. PROPHET and state-of-the-art fixed-panel assays were applied to 760 plasma samples from 181 prospectively enrolled early stage non-small cell lungcancer patients. PROPHET shows higher sensitivity of 45% at baseline with circulating tumor DNA (ctDNA).It outperforms fixed-panel assays in prognostic analysis and demonstrates a median lead-time of 299 daysto radiologically confirmed recurrence. Personalized non-canonical variants account for 98.2% with prognostic effects similar to canonical variants. The proposed tumor-node-metastasis-blood (TNMB) classification surpasses TNM staging for prognostic prediction at the decision point of adjuvant treatment. PROPHETshows potential to evaluate the effect of adjuvant therapy and serve as an arbiter of the equivocal radiological diagnosis. These findings highlight the potential advantages of personalized cancer techniques in MRDdetection.

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