Literature DB >> 30926636

Next-Generation Sequencing of Tissue and Circulating Tumor DNA: The UC San Diego Moores Center for Personalized Cancer Therapy Experience with Breast Malignancies.

Rebecca Shatsky1, Barbara A Parker2, Nam Q Bui3, Teresa Helsten2, Richard B Schwab2, Sarah G Boles2, Razelle Kurzrock2.   

Abstract

Clinical-grade next-generation sequencing (NGS) of tissue- and blood-derived circulating tumor DNA (ctDNA) allows assessment of multiple genomic alterations in patients with cancer. We analyzed ctDNA (54-70 genes) in 62 patients with advanced breast cancer (median = five prior therapies); 38 also had tissue NGS (236-315 genes). Overall, 42 of 62 patients (68%) had detectable (characterized) ctDNA alterations (variants of unknown significance excluded), and 37 of 38 (97%) had tissue alterations. The median (range) number of characterized alterations in ctDNA was 1 (0-7), and in tissue, 4 (0-17). The most common alterations in ctDNA were in TP53 (37% of patients) and PIK3CA (23%), and for tissue, TP53 (37%) and PIK3CA (24%); EGFR amplification was seen in ctDNA (11%), but not in tissue. Concordance between ctDNA and tissue appeared higher if <6 months separated the sample acquisition, although small sample size precluded statistical validation. Overall, 32 of 67 tissue alterations (48%) were also detected in ctDNA; 35 of 72 ctDNA alterations (48%) were also in tissue. Excluding estrogen receptor and ERBB2, 41 of 62 patients (66%) had potentially actionable alterations in ctDNA, and 36 of 38 (95%), in tissue (with potential actionability based on either preclinical or clinical evidence). If ≥1 genomic alteration had ctDNA ≥5%, survival was shorter than if ctDNA was <5% (median, 6.7 vs. 17.9 months; P = 0.01). In conclusion, tissue and ctDNA NGS reveal potentially actionable alterations in most patients. The genomic results of ctDNA and tissue NGS overlap, but there are differences, perhaps reflecting temporal spacing and tumor heterogeneity. ctDNA quantification also provides prognostic information. ©2019 American Association for Cancer Research.

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Year:  2019        PMID: 30926636     DOI: 10.1158/1535-7163.MCT-17-1038

Source DB:  PubMed          Journal:  Mol Cancer Ther        ISSN: 1535-7163            Impact factor:   6.261


  18 in total

1.  Long non-coding RNAs in ovarian cancer: expression profile and functional spectrum.

Authors:  Selin Oncul; Paola Amero; Cristian Rodriguez-Aguayo; George A Calin; Anil K Sood; Gabriel Lopez-Berestein
Journal:  RNA Biol       Date:  2019-12-17       Impact factor: 4.652

2.  Real-World Data From a Molecular Tumor Board: Improved Outcomes in Breast and Gynecologic Cancers Patients With Precision Medicine.

Authors:  Lindsey M Charo; Ramez N Eskander; Jason Sicklick; Ki Hwan Kim; Hyo Jeong Lim; Ryosuke Okamura; Suzanna Lee; Rupa Subramanian; Richard Schwab; Rebecca Shatsky; Steven Plaxe; Shumei Kato; Razelle Kurzrock
Journal:  JCO Precis Oncol       Date:  2022-01

3.  Clinical and biological determinants of circulating tumor DNA detection and prognostication using a next-generation sequencing panel assay.

Authors:  David Hsiehchen; Magdalena Espinoza; David E Gerber; Muhammad S Beg
Journal:  Cancer Biol Ther       Date:  2021-08-14       Impact factor: 4.875

4.  Analysis of Circulating Tumor DNA to Predict Neoadjuvant Therapy Effectiveness and Breast Cancer Recurrence.

Authors:  Shuai Hao; Wuguo Tian; Jianjie Zhao; Yi Chen; Xiaohua Zhang; Bo Gao; Yujun He; Donglin Luo
Journal:  J Breast Cancer       Date:  2020-07-10       Impact factor: 3.588

5.  Concordance of Genomic Alterations between Circulating Tumor DNA and Matched Tumor Tissue in Chinese Patients with Breast Cancer.

Authors:  Bing Xu; Guangyu Shan; Qixi Wu; Weiwei Li; Hongjiang Wang; Hui Li; Yaping Yang; Qiming Long; Ping Zhao
Journal:  J Oncol       Date:  2020-08-27       Impact factor: 4.375

6.  Prognostic Utility of Pre- and Postoperative Circulating Tumor DNA Liquid Biopsies in Patients with Peritoneal Metastases.

Authors:  Joel M Baumgartner; Paul Riviere; Richard B Lanman; Kaitlyn J Kelly; Jula Veerapong; Andrew M Lowy; Razelle Kurzrock
Journal:  Ann Surg Oncol       Date:  2020-08-06       Impact factor: 5.344

7.  Landscape of circulating tumour DNA in metastatic breast cancer.

Authors:  Andrew A Davis; Saya Jacob; Lorenzo Gerratana; Ami N Shah; Firas Wehbe; Neelima Katam; Qiang Zhang; Lisa Flaum; Kalliopi P Siziopikou; Leonidas C Platanias; William J Gradishar; Amir Behdad; Massimo Cristofanilli
Journal:  EBioMedicine       Date:  2020-07-21       Impact factor: 8.143

Review 8.  The paradox of cancer genes in non-malignant conditions: implications for precision medicine.

Authors:  Jacob J Adashek; Shumei Kato; Scott M Lippman; Razelle Kurzrock
Journal:  Genome Med       Date:  2020-02-17       Impact factor: 11.117

9.  Matched Whole-Genome Sequencing (WGS) and Whole-Exome Sequencing (WES) of Tumor Tissue with Circulating Tumor DNA (ctDNA) Analysis: Complementary Modalities in Clinical Practice.

Authors:  Robin Imperial; Marjan Nazer; Zaheer Ahmed; Audrey E Kam; Timothy J Pluard; Waled Bahaj; Mia Levy; Timothy M Kuzel; Dana M Hayden; Sam G Pappas; Janakiraman Subramanian; Ashiq Masood
Journal:  Cancers (Basel)       Date:  2019-09-19       Impact factor: 6.639

Review 10.  Advances in the Detection Technologies and Clinical Applications of Circulating Tumor DNA in Metastatic Breast Cancer.

Authors:  Hao Liao; Huiping Li
Journal:  Cancer Manag Res       Date:  2020-05-18       Impact factor: 3.989

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