Complementary detection of genomic alterations in metastatic castration-resistant prostate cancer (mCRPC) from CheckMate 9KD through analyses of tumor tissue and plasma DNA.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 5038-5038
Author(s):  
Mark Sausen ◽  
Jonathan F. Baden ◽  
Natallia Kalinava ◽  
Xuya Wang ◽  
Jun Li ◽  
...  
Keyword(s):  
Circulating Tumor Dna ◽  
Genomic Alteration ◽  
Castration Resistant Prostate Cancer ◽  
Plasma Dna ◽  
Accurate Analysis ◽  
Specific Patient ◽  
Formalin Fixed Paraffin Embedded ◽  
Comprehensive Genomic Profiling ◽  
Tissue Specimens ◽  
Tumor Dna

5038 Background: Accurate analysis of the genomic alteration landscape within tissue- and plasma-derived tumor DNA using next-generation sequencing (NGS) may provide insights into specific patient populations that benefit from different therapies. The interchangeable use of tissue- and plasma-based assessments may benefit patients when tissue availability is limited, a common occurrence in individuals with mCRPC. To understand the potential sources of technical and biological variability in this setting, we performed comprehensive comparative analyses across 3 NGS platforms, using samples from patients enrolled in CheckMate 9KD, a phase 2 study of nivolumab combined with docetaxel, rucaparib, or enzalutamide for patients with confirmed mCRPC (NCT03338790). Methods: We performed retrospective integrated analyses of sequence and structural alterations identified through comprehensive genomic profiling (CGP) of DNA obtained from formalin-fixed, paraffin-embedded tissue specimens and cell-free DNA obtained from plasma. Tissue-based analysis was performed using the FoundationOne assay (F1, 395 genes), while the FoundationACT (FACT, 70 genes) and GuardantOMNI (OMNI, 500 genes) assays were used for plasma-based analysis. Analysis was performed on samples from 103 patients for which datasets from all 3 assays were available. Inter-platform analysis considered variants with ≥ 0.50% variant allele fraction and common to the shared pairwise targeted regions, while excluding synonymous variants. Results: Through broad profiling of DNA obtained from tissue and plasma, we uncovered previously identified recurrent alteration of AR, TP53, PTEN, and TMPRSS2 fusion with ETS genes. Additionally, we found that 42% (F1), 45% (FACT), and 34% (OMNI) of patients harbored a combination of germline and somatic mutations in homologous recombination repair pathway genes. Across all samples, median tumor mutational burden was 3.5 mutations per megabase (mut/Mb) by F1 and 8.6 mut/Mb by OMNI. Inter-platform variant analyses demonstrated concordance of 52% for F1 vs FACT, 40% for F1 vs OMNI, and 75% for FACT vs OMNI. Conclusions: Overall, these data demonstrate the value of integrated tissue and liquid biopsy profiling in mCRPC. Both technical and biological sources of variation, including panel size, mutation detection algorithms, variant annotation and reporting, analytical performance, circulating tumor DNA levels, and tumor heterogeneity, may be captured differently by tissue- and plasma-based techniques, accounting for the discordance in reported results. Clinical trial information: NCT03338790.

Clinical applications of circulating tumor DNA in monitoring breast cancer drug resistance

2020 ◽  
Vol 16 (34) ◽  
pp. 2863-2878
Author(s):  
Yang Liu ◽  
Qian Du ◽  
Dan Sun ◽  
Ruiying Han ◽  
Mengmeng Teng ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Drug Resistance ◽  
Digital Pcr ◽  
Circulating Tumor Dna ◽  
Resistance Mechanisms ◽  
Clinical Applications ◽  
Current Status ◽  
Cancer Drug ◽  
Genomic Alteration ◽  
Tumor Dna

Breast cancer is one of the leading causes of cancer-related deaths in women worldwide. Unfortunately, treatments often fail because of the development of drug resistance, the underlying mechanisms of which remain unclear. Circulating tumor DNA (ctDNA) is free DNA released into the blood by necrosis, apoptosis or direct secretion by tumor cells. In contrast to repeated, highly invasive tumor biopsies, ctDNA reflects all molecular alterations of tumors dynamically and captures both spatial and temporal tumor heterogeneity. Highly sensitive technologies, including personalized digital PCR and deep sequencing, make it possible to monitor response to therapies, predict drug resistance and tailor treatment regimens by identifying the genomic alteration profile of ctDNA, thereby achieving precision medicine. This review focuses on the current status of ctDNA biology, the technologies used to detect ctDNA and the potential clinical applications of identifying drug resistance mechanisms by detecting tumor-specific genomic alterations in breast cancer.

Genomic analysis of circulating tumor DNA in 3,334 patients with advanced prostate cancer to identify targetable BRCA alterations and AR resistance mechanisms.

2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 25-25
Author(s):  
Hanna Tukachinsky ◽  
Russell Madison ◽  
Jon Chung ◽  
Lucas Dennis ◽  
Bernard Fendler ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Advanced Prostate Cancer ◽  
Acquired Resistance ◽  
Genomic Analysis ◽  
Circulating Tumor Dna ◽  
Resistance Mechanisms ◽  
Cancer Tissue ◽  
Castration Resistant Prostate Cancer ◽  
High Level ◽  
Tumor Dna

25 Background: Comprehensive genomic profiling (CGP) by next-generation sequencing (NGS) of circulating tumor DNA (ctDNA) from plasma provides a minimally invasive method to identify targetable genomic alterations (GAs) and resistance mechanisms in patients with metastatic castration-resistant prostate cancer (mCRPC). The circulating tumor fraction in patients with mCRPC and the clinical validity of GAs detected in plasma remain unknown. We evaluated the landscape of GAs using ctDNA-based CGP and assessed concordance with tissue-based CGP. Methods: Plasma from 3,334 patients with advanced prostate cancer (including 1,674 mCRPC screening samples from the TRITON2/3 trials and 1,660 samples from routine clinical CGP) was analyzed using hybrid-capture-based gene panel NGS assays. Results were compared with CGP of 2,006 metastatic prostate cancer tissue biopsies. Concordance was evaluated in 837 patients with both tissue (archival or contemporaneous) and plasma NGS results. Results: 3,127 patients [94%] had detectable ctDNA. BRCA1/2 were mutated in 295 patients [8.8%]. In concordance analysis, 72/837 [8.6%] patients had BRCA1/2 mutations detected in tissue, 67 [93%] of whom were also identified by ctDNA, and 20 patients were identified using ctDNA but not tissue [23% of all patients identified using ctDNA]. ctDNA detected subclonal BRCA1/2 reversions in 10 of 1,660 [0.6%] routine clinical CGP samples. AR alterations, including amplifications and hotspot mutations, which were detected in 940/2,213 patients [42%]. Rare AR compound mutations, rearrangements, and novel in-frame deletions were identified. Altered pathways included PI3K/AKT/mTOR [14%], WNT/β-catenin [17%], and RAS/RAF/MEK [5%]. Microsatellite instability was detected in 31/2,213 patients [1.4%]. Conclusions: In the largest study of mCRPC plasma samples conducted to date, CGP of ctDNA recapitulated the genomic landscape detected in tissue biopsies, with a high level of agreement in detection of BRCA1/2 alterations. It also identified patients who may have gained somatic BRCA1/2 alterations since archival tissue was collected. ctDNA detected more acquired resistance GAs than tissue, including novel AR-activating variants. The large percentage of patients with rich genomic signal from ctDNA, and the sensitive, specific detection of BRCA1/2 alterations position liquid biopsy as a compelling clinical complement to tissue CGP for patients with mCRPC.

Circulating tumor DNA-based genomic profiling of small bowel adenocarcinoma.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 3523-3523
Author(s):  
Pat Gulhati ◽  
Karan Pandya ◽  
Hiba I. Dada ◽  
Christopher R. Cogle ◽  
Jason S. Starr ◽  
...  
Keyword(s):  
Small Bowel ◽  
Large Scale ◽  
Clinical Decision Making ◽  
Circulating Tumor Dna ◽  
Therapeutic Resistance ◽  
Molecular Entity ◽  
Small Bowel Adenocarcinoma ◽  
Genomic Profiling ◽  
Comprehensive Genomic Profiling ◽  
Tumor Dna

3523 Background: Small bowel adenocarcinoma (SBA) is a rare malignancy, with lower incidence, later stage at diagnosis, and worse overall survival compared to other intestinal cancers, such as colorectal cancer (CRC). Since the majority of small bowel tumors are not accessible to endoscopic biopsy, comprehensive genomic profiling using circulating tumor DNA (ctDNA) may enable non-invasive detection of targetable genomic alterations (GA) in SBA patients. In this study, we characterize the ctDNA GA landscape in SBA. Methods: Analysis of 299 ctDNA samples prospectively collected from 265 SBA patients between 2017 to 2020 was performed using a 73 gene next generation sequencing panel (Guardant360). A subset of patients underwent longitudinal analysis of changes in GA associated with systemic therapy. Results: Of the 265 patients, 160 (60.3%) were male; the median age was 66 (range: 21-93 years). The most common GA identified in SBA patients included TP53 [58%], KRAS [44%], and APC [40%]. MSI was detected in 3.4% of SBA patients. When stratified by primary tumor location, APC, KRAS, TP53, PIK3CA, and ARID1A were the most common GA identified in both duodenal and jejunal adenocarcinomas. ERBB2, BRCA2 and CDK6 alterations were enriched in duodenal adenocarcinoma, while NOTCH and BRAF alterations were enriched in jejunal adenocarcinoma. The most common currently-targetable GA identified were ATM [18%], PIK3CA [17%], EGFR [15%], CDK4/6 [11%], BRAF [10%], and ERBB2 [10%]. Unique differences in GA between SBA and CRC were identified: i) the majority of ERBB2 alterations are mutations (89%) in the extracellular domain and kinase domain, not amplifications (11%); ii) the majority of BRAF alterations are non V600E mutations (69%) and amplifications (28%); iii) there is a significantly lower rate of APC mutations (40%). Alterations in DNA damage response pathway proteins, including ATM and BRCA 1/2, were identified in 30% of SBA patients. ATM alterations were more common in patients ³65 years old. The most common mutations predicted to be related to clonal hematopoiesis of indeterminate potential were TP53, KRAS and GNAS. Longitudinal ctDNA analysis in 4 SBA patients revealed loss of mutations associated with therapeutic response (TP53 R342*, MAPK3 R189Q) and acquired mutations associated with therapeutic resistance (NF1 R1968*, MET S170N, RAF1 L613V). Conclusions: This study represents the first large-scale blood-based ctDNA genomic profiling of SBA. SBA represents a unique molecular entity with differences in frequency and types of GA compared to CRC. Variations in GA were noted based on anatomic origin within the small intestine. Longitudinal ctDNA monitoring revealed novel GA associated with therapeutic resistance. Identification of multiple targetable GA may facilitate clinical decision making and improve patient outcomes in SBA, especially when a tissue biopsy is not feasible or sufficient for comprehensive genomic profiling.

Treatment and relapse in breast cancer show significant correlations to noninvasive testing using urinary and plasma DNA

2020 ◽  
Vol 16 (13) ◽  
pp. 849-858
Author(s):  
Jinling Zhang ◽  
Xueli Zhang ◽  
Shuwei Shen
Keyword(s):  
Breast Cancer ◽  
Circulating Tumor Dna ◽  
Noninvasive Testing ◽  
Plasma Dna ◽  
Operating Characteristics ◽  
Risk Profiling ◽  
Routine Monitoring ◽  
Plasma And Urine Samples ◽  
Serial Time Point ◽  
Tumor Dna

Aim: Circulating tumor DNA is promising for routine monitoring of breast cancer. Noninvasive testing allows regular probing using plasma and urine samples. Methods: Peripheral blood and simultaneous urine collection from patients were quantified. Concordance between methods were made. Serial time-point measurements were correlated to disease outcome. Results: Index measurements demonstrate over 90% concordance with biopsy. Receiver operating characteristics curves showed over 0.95 for both plasma and urine results comparing with controls. Patients with lower risk of relapse experienced greater declines in detected DNA levels. Maximal declines were registered at 4.0- and 6.8-fold for plasma and urine results, respectively. Conclusion: Measuring and monitoring DNA levels complement existing testing regimes and provides better risk profiling of patients for possible relapse.

scholarly journals Circulating Tumor DNA Markers for Early Progression on Fulvestrant With or Without Palbociclib in ER+ Advanced Breast Cancer

2020 ◽  
Author(s):  
Ben O’Leary ◽  
Rosalind J Cutts ◽  
Xin Huang ◽  
Sarah Hrebien ◽  
Yuan Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Statistical Tests ◽  
Controlled Trial ◽  
Multivariable Analysis ◽  
Circulating Tumor Dna ◽  
Phase Iii ◽  
Genomic Alteration ◽  
Double Blind ◽  
Early Progression ◽  
Tumor Dna

Abstract Background There are no established molecular biomarkers for patients with breast cancer receiving combination endocrine and CDK4/6 inhibitor (CDK4/6i). We aimed to determine whether genomic markers in circulating tumor DNA (ctDNA) can identify patients at higher risk of early progression on fulvestrant therapy with or without palbociclib, a CDK4/6i. Methods PALOMA-3 was a phase III, multicenter, double-blind randomized controlled trial of palbociclib plus fulvestrant (n = 347) vs placebo plus fulvestrant (n = 174) in patients with endocrine-pretreated estrogen receptor–positive (ER+) breast cancer. Pretreatment plasma samples from 459 patients were analyzed for mutations in 17 genes, copy number in 14 genes, and circulating tumor fraction. Progression-free survival (PFS) was compared in patients with circulating tumor fraction above or below a prespecified cutoff of 10% and with or without a specific genomic alteration. All statistical tests were 2-sided. Results Patients with high ctDNA fraction had worse PFS on both palbociclib plus fulvestrant (hazard ratio [HR] = 1.62, 95% confidence interval [CI] = 1.17 to 2.24; P = .004) and placebo plus fulvestrant (HR = 1.77, 95% CI = 1.21 to 2.59; P = .004). In multivariable analysis, high-circulating tumor fraction was associated with worse PFS (HR = 1.20 per 10% increase in tumor fraction, 95% CI = 1.09 to 1.32; P < .001), as was TP53 mutation (HR = 1.84, 95% CI = 1.27 to 2.65; P = .001) and FGFR1 amplification (HR = 2.91, 95% CI = 1.61 to 5.25; P < .001). No interaction with treatment randomization was observed. Conclusions Pretreatment ctDNA identified a group of high-risk patients with poor clinical outcome despite the addition of CDK4/6 inhibition. These patients might benefit from inclusion in future trials of escalating treatment, with therapies that may be active in these genomic contexts.

scholarly journals Detection of Circulating Tumor DNA in Patients With Uterine Leiomyomas

2019 ◽  
pp. 1-9
Author(s):  
Joanna Przybyl ◽  
Lien Spans ◽  
Deirdre A. Lum ◽  
Shirley Zhu ◽  
Sujay Vennam ◽  
...  
Keyword(s):  
Lactate Dehydrogenase ◽  
Tumor Suppressor Genes ◽  
Uterine Leiomyoma ◽  
Benign Lesion ◽  
Point Mutations ◽  
Circulating Tumor Dna ◽  
Copy Number Alterations ◽  
Plasma Dna ◽  
Tumor Dna ◽  
Targeted Detection

PURPOSE The preoperative distinction between uterine leiomyoma (LM) and leiomyosarcoma (LMS) is difficult, which may result in dissemination of an unexpected malignancy during surgery for a presumed benign lesion. An assay based on circulating tumor DNA (ctDNA) could help in the preoperative distinction between LM and LMS. This study addresses the feasibility of applying the two most frequently used approaches for detection of ctDNA: profiling of copy number alterations (CNAs) and point mutations in the plasma of patients with LM. PATIENTS AND METHODS By shallow whole-genome sequencing, we prospectively examined whether LM-derived ctDNA could be detected in plasma specimens of 12 patients. Plasma levels of lactate dehydrogenase, a marker suggested for the distinction between LM and LMS by prior studies, were also determined. We also profiled 36 LM tumor specimens by exome sequencing to develop a panel for targeted detection of point mutations in ctDNA of patients with LM. RESULTS We identified tumor-derived CNAs in the plasma DNA of 50% (six of 12) of patients with LM. The lactate dehydrogenase levels did not allow for an accurate distinction between patients with LM and patients with LMS. We identified only two recurrently mutated genes in LM tumors ( MED12 and ACLY). CONCLUSION Our results show that LMs do shed DNA into the circulation, which provides an opportunity for the development of ctDNA-based testing to distinguish LM from LMS. Although we could not design an LM-specific panel for ctDNA profiling, we propose that the detection of CNAs or point mutations in selected tumor suppressor genes in ctDNA may favor a diagnosis of LMS, since these genes are not affected in LM.

Circulating tumor DNA in plasma of breast cancer patients from India

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e22213-e22213
Author(s):  
S. Bhattacharyya ◽  
V. Raina ◽  
N. K. Shukla ◽  
S. Shukla ◽  
R. Kumar ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Diagnosis ◽  
Cancer Patients ◽  
Circulating Tumor Dna ◽  
Genome Equivalent ◽  
Breast Cancer Patients ◽  
Plasma Dna ◽  
Dna Concentration ◽  
Free Plasma ◽  
Tumor Dna

e22213 Background: Recently, breast cancer has become the most common cancer among women in all urban population in India. Annually about 80000 new cases and 40000 deaths occur and majority of breast cancers are pre-menopausal. Conventional diagnostic methods are not very sensitive especially in early stages of cancer. This necessitated a more sensitive and reliable method for early diagnosis leading to effective treatment, better prognosis and survival. Recently, the level of cell free circulating tumor DNA in blood plasma or serum of patients with variety of tumors are being considered as reliable non-invasive diagnostic tool but no study has been done in India. The present study has therefore been undertaken to evaluate clinical utility of cell free DNA as potential biomarkers for early diagnosis and management of breast cancer. Methods: 25 newly diagnosed untreated breast cancer patients and 25 healthy subjects having no sign of significant medical illness with informed consent were enrolled for the study. 9 patients after chemotherapy were also included in the study. Blood plasma collected from both patients and controls were employed for DNA isolation, using Qiagen kit. Concentration of cell free plasma DNA was analyzed by 3 methods viz. nanodrop spectro-photometry, integrated density value (IDV) of PCR products of Exon 7 of p53 gene and quantitative real time PCR (cycles threshold converted to genome equivalent). All values of DNA concentration obtained by three methods used as continuous variables and receiver operating characteristic (ROC) were plotted and the cut-of value was determined at 90% sensitivity and 100% specificity level of ROC. Results: Mean free plasma DNA concentration as determined by both Q-RT PCR and IDV in cancer patients was found to be significantly higher in advanced stage breast cancer patients than in controls (genome equivalent 18850 vs 431; IDV 17912 vs 4197; p=0.001). However, no significant difference could be observed in early stage disease as compared to controls possibly due small sample size. Conclusions: Free Plasma DNA concentration is a reliable molecular marker for detection of breast cancer and can serve as a prognostic indicator leading to its potential clinical application either alone or in combination with other conventional methods. No significant financial relationships to disclose.

Identification of genomic alterations by circulating tumor DNA in leiomyosarcoma: A molecular analysis of 73 patients.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 11044-11044 ◽  
Author(s):  
Junaid Arshad ◽  
Ali Roberts ◽  
Jared Addison Cotta ◽  
Jonathan C. Trent
Keyword(s):  
Circulating Tumor Dna ◽  
Driver Mutations ◽  
Genomic Alteration ◽  
Single Nucleotide Variants ◽  
Genomic Alterations ◽  
Uncertain Significance ◽  
Malignant Mesenchymal Tumor ◽  
Invasive Method ◽  
Diagnosis Therapy ◽  
Tumor Dna

11044 Background: Leiomyosarcoma is a malignant mesenchymal tumor of cells of smooth muscle lineage arising commonly in retroperitoneum, uterus, large veins, and the limbs. In contrast to many sarcomas, the genetics of leiomyosarcomas are complex and there is very limited understanding of common driver mutations. Circulating Tumor DNA (ctDNA) offers a rapid and non-invasive method of next-generation sequencing (NGS) that could be utilized for diagnosis, therapy and detection of recurrence. Methods: ctDNA testing was performed using Guardant360, which detects single nucleotide variants, amplifications, fusions, and specific insertion/deletion mutations in 73 genes utilizing NGS. Blood samples from patients with leiomyosarcoma were analyzed, and results from December 2014-December 2018 were reviewed. Results: Of the 90 samples collected and analyzed, alterations were detected in 73 ctDNA samples. After exclusion of variants of uncertain significance (VUS), 63 ctDNA samples harbored cancer-associated genomic alterations. Of 73 patients, 59 were found to have one or more cancer-associated genomic alteration. 76% (45) were female with a median age of 63 (range, 38-87) years. All samples were designated metastatic. The following table shows common alterations and types of mutations. The other alterations included RAF1, ERBB2, MET, PTEN, TERT, APC and NOTCH1. In 24 of the 73 patients (33%) the genomic alterations detected by ctDNA are potentially targetable by an FDA-approved or clinical trial therapy. There were 4 (5%) patients who were found to have incidental germline TP53 mutations. Conclusions: NGS of ctDNA allows identification of genomic alterations in plasma from patients with leiomyosarcoma. Unfortunately, there is limited activity of targeted agents in leiomyosarcomas. These results suggest opportunities to develop therapy against TP53, cell cycle, and kinase signaling pathways. Further validation and prospective evaluation is warranted to investigate the clinical utility of ctDNA for patients with leiomyosarcoma.[Table: see text]

Circulating tumor DNA molecular profiling in rare cancer patients from the MASTER KEY Project.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e14532-e14532
Author(s):  
Hitomi Sumiyoshi Okuma ◽  
Kan Yonemori ◽  
Takuji Seo ◽  
Emi Noguchi ◽  
Keiko Wakakuwa ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Salivary Gland Tumor ◽  
Circulating Tumor Dna ◽  
Genetic Alterations ◽  
Unknown Primary ◽  
Genomic Alteration ◽  
Cancer Type ◽  
Rare Cancer ◽  
Registry Study ◽  
Tumor Dna

e14532 Background: In April 2017, MASTER KEY Project, composed of a prospective registry study part and a multiple clinical trials part, was established to promote treatment development for rare cancers, which is lacking standard or investigational therapeutic options. Circulating tumor DNA (ctDNA) analysis by next-generation sequencing (NGS) has provided new insight into personalized medicine in a more accessible, non-invasive manner; however, most reports are focused on common cancers. We report genetic alterations detected by ctDNA NGS analysis in rare solid cancers. Methods: Prospectively consented patients (pts), also enrolled in MASTER KEY registry study, had ctDNA NGS testing at a CLIA-certified lab (Guardant360) for point mutations, indels, copy number amplifications, fusions, and microsatellite instability. Alterations were assessed for incidence according to cancer type, functional impact, therapeutic implications, and comparison with tissue NGS. Main inclusion criteria: 1) age ≥16, 2) histological diagnosis of rare cancer (annual incidence less than 6 cases per 100,000 population), cancer of unknown primary (CUP), or rare tissue subtypes of common cancers, 3) active metastatic / unresectable cancer, 4) a written consent. Results: From Nov. 2018 to Jan 2019, 50 pts had Guardant360 testing. Diseases included: soft tissue sarcoma (28), ovarian carc. (7), CUP (4), salivary gland tumor (3), thyroid carc. (2), GIST (1), adrenal cortical carc. (1), rare subtype of GI tract (1), malignant mesothelioma (1), nephroblastoma (1), NET (1), NUT carc. (1). All Japanese, male/female = 14/36, median age 61, ECOG performance status 0/1/2/3 = 30/19/0/1. 76% of pts (38/50) had ≥1 alteration detected, with median number of 2 alterations (range: 0-9), with VAF(0.1-60.3%); 87%(33/38) of those pts had a variant most likely pathogenic; 61% (20/33) of those pts had a variant potential for clinical action. Mean TAT was 10.3 days. 19 pts had tissue NGS testing and in 3 pts, alterations were detected by ctDNA NGS but not by tissue NGS. Updated results of 100 patients will be presented at the conference. Conclusions: Most rare cancer patients with advanced disease had a detectable genomic alteration by Guardant360. Clinical trial information: UMIN000034394.

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