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  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 78, No. 4 ( 2018-02-15), p. 1110-1122
    Abstract: Addressing drug resistance is a core challenge in cancer research, but the degree of heterogeneity in resistance mechanisms in cancer is unclear. In this study, we conducted next-generation sequencing (NGS) of circulating tumor cells (CTC) from patients with advanced cancer to assess mechanisms of resistance to targeted therapy and reveal opportunities for precision medicine. Comparison of the genomic landscapes of CTCs and tissue metastases is complicated by challenges in comprehensive CTC genomic profiling and paired tissue acquisition, particularly in patients who progress after targeted therapy. Thus, we assessed by NGS somatic mutations and copy number alterations (CNA) in archived CTCs isolated from patients with metastatic breast cancer who were enrolled in concurrent clinical trials that collected and analyzed CTCs and metastatic tissues. In 76 individual and pooled informative CTCs from 12 patients, we observed 85% concordance in at least one or more prioritized somatic mutations and CNA between paired CTCs and tissue metastases. Potentially actionable genomic alterations were identified in tissue but not CTCs, and vice versa. CTC profiling identified diverse intra- and interpatient molecular mechanisms of endocrine therapy resistance, including loss of heterozygosity in individual CTCs. For example, in one patient, we observed CTCs that were either wild type for ESR1 (n = 5/32), harbored the known activating ESR1 p.Y537S mutation (n = 26/32), or harbored a novel ESR1 p.A569S (n = 1/32). ESR1 p.A569S was modestly activating in vitro, consistent with its presence as a minority circulating subclone. Our results demonstrate the feasibility and potential clinical utility of comprehensive profiling of archived fixed CTCs. Tissue and CTC genomic assessment are complementary, and precise combination therapies will likely be required for effective targeting in advanced breast cancer patients. Significance: These findings demonstrate the complementary nature of genomic profiling from paired tissue metastasis and circulating tumor cells from patients with metastatic breast cancer. Cancer Res; 78(4); 1110–22. ©2017 AACR.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2018
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  • 2
    In: Neoplasia, Elsevier BV, Vol. 17, No. 4 ( 2015-04), p. 385-399
    Type of Medium: Online Resource
    ISSN: 1476-5586
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2015
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  • 3
    In: Cancer Research Communications, American Association for Cancer Research (AACR), Vol. 3, No. 7 ( 2023-07-25), p. 1335-1349
    Abstract: Immunotherapy response score (IRS) integrates tumor mutation burden (TMB) and quantitative expression biomarkers to predict anti-PD-1/PD-L1 [PD-(L)1] monotherapy benefit. Here, we evaluated IRS in additional cohorts. Patients from an observational trial (NCT03061305) treated with anti-PD-(L)1 monotherapy were included and assigned to IRS-High (-H) versus -Low (-L) groups. Associations with real-world progression-free survival (rwPFS) and overall survival (OS) were determined by Cox proportional hazards (CPH) modeling. Those with available PD-L1 IHC treated with anti-PD-(L)1 with or without chemotherapy were separately assessed. Patients treated with PD-(L)1 and/or chemotherapy (five relevant tumor types) were assigned to three IRS groups [IRS-L divided into IRS-Ultra-Low (-UL) and Intermediate-Low (-IL), and similarly assessed] . In the 352 patient anti-PD-(L)1 monotherapy validation cohort (31 tumor types), IRS-H versus IRS-L patients had significantly longer rwPFS and OS. IRS significantly improved CPH associations with rwPFS and OS beyond microsatellite instability (MSI)/TMB alone. In a 189 patient (10 tumor types) PD-L1 IHC comparison cohort, IRS, but not PD-L1 IHC nor TMB, was significantly associated with anti-PD-L1 rwPFS. In a 1,103-patient cohort (from five relevant tumor types), rwPFS did not significantly differ in IRS-UL patients treated with chemotherapy versus chemotherapy plus anti-PD-(L)1, nor in IRS-H patients treated with anti-PD-(L)1 versus anti-PD-(L)1 + chemotherapy. IRS associations were consistent across subgroups, including both Europeans and non-Europeans. These results confirm the utility of IRS utility for predicting pan-solid tumor PD-(L)1 monotherapy benefit beyond available biomarkers and demonstrate utility for informing on anti-PD-(L)1 and/or chemotherapy treatment. Significance: This study confirms the utility of the integrative IRS biomarker for predicting anti-PD-L1/PD-1 benefit. IRS significantly improved upon currently available biomarkers, including PD-L1 IHC, TMB, and MSI status. Additional utility for informing on chemotherapy, anti-PD-L1/PD-1, and anti-PD-L1/PD-1 plus chemotherapy treatments decisions is shown.
    Type of Medium: Online Resource
    ISSN: 2767-9764
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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  • 4
    In: Communications Medicine, Springer Science and Business Media LLC, Vol. 3, No. 1 ( 2023-02-07)
    Abstract: Anti-PD-1 and PD-L1 (collectively PD-[L]1) therapies are approved for many advanced solid tumors. Biomarkers beyond PD-L1 immunohistochemistry, microsatellite instability, and tumor mutation burden (TMB) may improve benefit prediction. Methods Using treatment data and genomic and transcriptomic tumor tissue profiling from an observational trial (NCT03061305), we developed Immunotherapy Response Score (IRS), a pan-tumor predictive model of PD-(L)1 benefit. IRS real-world progression free survival (rwPFS) and overall survival (OS) prediction was validated in an independent cohort of trial patients. Results Here, by Cox modeling, we develop IRS—which combines TMB with CD274 , PDCD1 , ADAM12 and TOP2A quantitative expression—to predict pembrolizumab rwPFS (648 patients; 26 tumor types; IRS-High or -Low groups). In the 248 patient validation cohort (248 patients; 24 tumor types; non-pembrolizumab PD-[L]1 monotherapy treatment), median rwPFS and OS are significantly longer in IRS-High vs. IRS-Low patients (rwPFS adjusted hazard ratio [aHR] 0.52, p = 0.003; OS aHR 0.49, p = 0.005); TMB alone does not significantly predict PD-(L)1 rwPFS nor OS. In 146 patients treated with systemic therapy prior to pembrolizumab monotherapy, pembrolizumab rwPFS is only significantly longer than immediately preceding therapy rwPFS in IRS-High patients (interaction test p = 0.001). In propensity matched lung cancer patients treated with first-line pembrolizumab monotherapy or pembrolizumab+chemotherapy, monotherapy rwPFS is significantly shorter in IRS-Low patients, but is not significantly different in IRS-High patients. Across 24,463 molecularly-evaluable trial patients, 7.6% of patients outside of monotherapy PD-(L)1 approved tumor types are IRS-High/TMB-Low. Conclusions The validated, predictive, pan-tumor IRS model can expand PD-(L)1 monotherapy benefit outside currently approved indications.
    Type of Medium: Online Resource
    ISSN: 2730-664X
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
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  • 5
    In: JCO Precision Oncology, American Society of Clinical Oncology (ASCO), , No. 5 ( 2021-11), p. 1312-1324
    Abstract: Tissue-based comprehensive genomic profiling (CGP) is increasingly used for treatment selection in patients with advanced cancer; however, tissue availability may limit widespread implementation. Here, we established real-world CGP tissue availability and assessed CGP performance on consecutively received samples. MATERIALS AND METHODS We conducted a post hoc, nonprespecified analysis of 32,048 consecutive tumor tissue samples received for StrataNGS, a multiplex polymerase chain reaction (PCR)–based comprehensive genomic profiling (PCR-CGP) test, as part of an ongoing observational trial ( NCT03061305 ). Sample characteristics and PCR-CGP performance were assessed across all tested samples, including exception samples not meeting minimum input quality control (QC) requirements ( 〈 20% tumor content [TC], 〈 2 mm 2 tumor surface area [TSA], DNA or RNA yield 〈 1 ng/µL, or specimen age 〉 5 years). Tests reporting ≥ 1 prioritized alteration or meeting TC and sequencing QC were considered successful. For prostate carcinoma and lung adenocarcinoma, tests reporting ≥ 1 actionable or informative alteration or meeting TC and sequencing QC were considered actionable. RESULTS Among 31,165 (97.2%) samples where PCR-CGP was attempted, 10.7% had 〈 20% TC and 59.2% were small ( 〈 25 mm 2 tumor surface area). Of 31,101 samples evaluable for input requirements, 8,089 (26.0%) were exceptions not meeting requirements. However, 94.2% of the 31,101 tested samples were successfully reported, including 80.5% of exception samples. Positive predictive value of PCR-CGP for ERBB2 amplification in exceptions and/or sequencing QC-failure breast cancer samples was 96.7%. Importantly, 84.0% of tested prostate carcinomas and 87.9% of lung adenocarcinomas yielded results informing treatment selection. CONCLUSION Most real-world tissue samples from patients with advanced cancer desiring CGP are limited, requiring optimized CGP approaches to produce meaningful results. An optimized PCR-CGP test, coupled with an inclusive exception testing policy, delivered reportable results for 〉 94% of samples, potentially expanding the proportion of CGP-testable patients and impact of biomarker-guided therapies.
    Type of Medium: Online Resource
    ISSN: 2473-4284
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2021
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  • 6
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 76, No. 14_Supplement ( 2016-07-15), p. 3151-3151
    Abstract: Introduction: Cancer-associated mutations are present in circulating cell free plasma tumor DNA (ptDNA). We have previously reported mutation profiles of DNA extracted from CTC (CTC-DNA) from two patients with MBC (#2 and 24 in table). Here, we report an expanded cohort with an updated gene panel. Methods: We studied seven patients (two previously reported, along with five additional patients) with MBC who were enrolled in Mi-CTC-ONCOSEQ, had ≥5 CTC/7.5 ml whole blood (WB), and had at least one CTC with high quality DNA determined by the Ampli1™ quality control kit. CTC were enriched from WB with CellSearch© and purified from white blood cells (WBC) (DEPArray™). DNA from individual CTC and WBC was isolated and subjected to whole genomic amplification (Ampli 1™ WGA) and genotyped by multiplexed PCR-based next generation sequencing with the Oncomine Comprehensive Panel (OCP) on the Ion Torrent Proton. Exome sequencing of research biopsies of metastatic tissue was performed using an Illumina HiSeq 2500 platform. Previously reported patients (#2 and 24) sequenced with a beta version of the OCP were re-run, and updated results are provided. Results: Six of seven patients were ER positive. Patients #2, 12, and 24 had CTC with mutations also found in the research biopsy (table). Novel alterations were found in comparison to research biopsy in five of the seven patients (table). In two patients (#19, 24), two potential actionable mutations (PTCH1 and NOTCH1) were found in CTC-DNA but not in tissue-DNA. No mutations were detected in any WBC. Conclusions: We demonstrate the ability to purify CTC, and to isolate and amplify DNA of suitable quality for genetic analysis using a comprehensive targeted sequencing panel. Mutations found in tissue as well as novel mutations were found in CTC-DNA. Two potential actionable mutations were identified in CTC, but not in tissue, opening potentially new therapeutic opportunities. We conclude that mutational analysis of CTC-DNA and of tissue may be complementary. Prioritized mutations in CTCsPt #Gene (Mutation)# CTC Single (S) Pooled (P)# with mutation (variant fraction)# without mutation# not evaluable (insufficient coverage)# WBC (all pooled)# with mutationPresent in Biopsy?2CDH1 (p.Q641X)7 (S)5 (1.00)NA230YCDH1 (S70F)7 (S)5 (1.00)NA230YESR1 (p.Y537S)7 (S)4 (0.46)2130YESR1 (unreported mutation)7 (S)1 (0.56)5130N8NA3 (P)*NANA3 (P)40NA12PIK3CA (H1047R)1 (S)1 (0.85)NANA10YTP53 (p.R248Q)1 (S)1 (0.72)NANA10Y14HNF1A (p.W206C)3 (P)+ (0.17)NANA40N17BRCA2 (p.Q1931X)4 (P)+ (0.10)NANA40N19PTCH1 (p.E1242X)3 (P)+ (0.28)NANA30N24CDH1 (p.I584fs)5 (P)+ (0.79)NANA40Y4 (P)+ (0.68)4 (P)+ (0.77)CDH1 (p.E841X)5 (P)0NANA40N4 (P)+ (0.14)4 (P)0TP53 (p.152_156del)5 (P)+ (0.94)NANA40Y4 (P)+ (0.29)4 (P)+ (0.36)NOTCH1 (p.S2492X)5 (P)0 +NANA40N4 (P)(0.17)4 (P)0Legend: NA = not applicable; + = mutation present in pooled CTC; Y = Yes; N = No; *CTC-DNA from the pool of 3 CTC had low and high quality. Citation Format: Costanza Paoletti, Andi K. Cani, Kimberly Aung, Elizabeth P. Darga, Emily M. Cannell, Daniel H. Hovelson, Maryam Yazdani, Allen R. Blevins, Nahomi Tokudome, Paul J. Baratta, Jose’ M. Larios, Dafydd G. Thomas, Martha E. Brown, Christina Gersch, Anne F. Schott, Daniel Robinson, Arul M. Chinnaiyan, Farideh Bischoff, Daniel F. Hayes, James M. Rae, Scott A. Tomlins. Genetic profiling of circulating tumor cells (CTC) in metastatic breast cancer (MBC) patients. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3151.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
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  • 7
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 36, No. 15_suppl ( 2018-05-20), p. 5065-5065
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2018
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  • 8
    In: Neoplasia, Elsevier BV, Vol. 21, No. 8 ( 2019-08), p. 802-809
    Type of Medium: Online Resource
    ISSN: 1476-5586
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2019
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  • 9
    In: Genes, Chromosomes and Cancer, Wiley, Vol. 59, No. 4 ( 2020-04), p. 225-239
    Abstract: Circulating tumor cell (CTC) and cell‐free (cf) DNA‐based genomic alterations are increasingly being used for clinical decision‐making in oncology. However, the concordance and discordance between paired CTC and cfDNA genomic profiles remain largely unknown. We performed comparative genomic hybridization (CGH) on CTCs and cfDNA, and low‐pass whole genome sequencing (lpWGS) on cfDNA to characterize genomic alterations (CNA) and tumor content in two independent prospective studies of 93 men with mCRPC treated with enzalutamide/abiraterone, or radium‐223. Comprehensive analysis of 69 patient CTCs and 72 cfDNA samples from 93 men with mCRPC, including 64 paired samples, identified common concordant gains in FOXA1 , AR , and MYC , and losses in BRCA1 , PTEN , and RB1 between CTCs and cfDNA. Concordant PTEN loss and discordant BRCA2 gain were associated with significantly worse outcomes in Epic AR‐V7 negative men with mCRPC treated with abiraterone/enzalutamide. We identified and externally validated CTC‐specific genomic alternations that were discordant in paired cfDNA, even in samples with high tumor content. These CTC/cfDNA‐discordant regions included key genomic regulators of lineage plasticity, osteomimicry, and cellular differentiation, including MYCN gain in CTCs (31%) that was rarely detected in cfDNA. CTC MYCN gain was associated with poor clinical outcomes in AR‐V7 negative men and small cell transformation. In conclusion, we demonstrated concordance of multiple genomic alterations across CTC and cfDNA platforms; however, some genomic alterations displayed substantial discordance between CTC DNA and cfDNA despite the use of identical copy number analysis methods, suggesting tumor heterogeneity and divergent evolution associated with poor clinical outcomes.
    Type of Medium: Online Resource
    ISSN: 1045-2257 , 1098-2264
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
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  • 10
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    Online Resource
    American Association for Cancer Research (AACR) ; 2023
    In:  Cancer Research Vol. 83, No. 7_Supplement ( 2023-04-04), p. 968-968
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 7_Supplement ( 2023-04-04), p. 968-968
    Abstract: Trastuzumab deruxtecan (Enhertu) is effective in "HER2 Low" breast cancer, defined by 1+ or 2+ expression by immunohistochemistry (IHC). Interest has now turned toward defining a sub-population of IHC 0+ tumors that may have HER2 expression below the limit of IHC detection/quantification and may thus also be responsive. We previously validated a high dynamic range HER2 RNA expression assay run as part of our comprehensive genomic profiling test, StrataNGS. Herein, we evaluated the HER2 RNA expression data together with copy number and clinical outcome data from the Strata Clinical Molecular Database (SCMD) in advanced breast cancer (n = 3,063) and other advanced solid tumors (n = 26,715). As expected, HER2 gene expression was significantly higher in tumors with DNA amplification ( & gt;=6 copies; median: 13.9 vs. 10.0 in log2 units; p & lt; 1e-100). Despite similar copy number levels in amplified breast vs. other cancers (median: 21.8 vs. 19.8 copies), HER2 expression levels were ~2-fold higher (median: 14.5 vs. 13.5; p = 1.3e-10). Similarly, HER2 expression levels were higher in non-amplified breast vs. other cancers (median: 10.7 vs. 9.9; p & lt;1e-100), suggesting that DNA amplification and cell lineage affect HER2 expression. Using our previously validated HER2 threshold, among 75 eligible SCMD breast cancer patients treated with 1st or 2nd line systemic trastuzumab or pertuzumab containing therapy, HER2 RNA High patients (n=46, 59%) had significantly longer time to next therapy (TTNT) compared to HER2 RNA Not High patients (median TTNT 26.9 vs. 5.6 months, adjusted hazard ratio 0.31, p=0.005 when adjusted for 1st vs. 2nd line, pertuzumab inclusion, and inclusion of chemotherapy or hormonal therapy). In patients with available IHC data (n = 388), HER2 RNA expression trended with IHC across the 0-3+ range, however, while 3+ tumors had distinctly high RNA expression (median: 14.4), 0-2+ tumors had lower expression with overlapping distributions (median: 10.5, 10.9, 11.5, respectively), suggesting that 0-2+ tumors do not represent distinct biological groups, but rather a continuum of low expression. We defined a HER2 RNA Low threshold ( & gt;10.6), corresponding to the top 75% of IHC 1-2+ breast cancers. Importantly, at this threshold, nearly half (44.1%) of 0+ breast cancers were also classified as HER2 RNA Low. Additionally, 25.8% of all non-breast solid tumors were classified as HER2 RNA Low. Given that HER2 RNA High predicted benefit from 1st generation anti-HER2 therapies, future studies should consider HER2 RNA Low as an alternative biomarker to Her2 IHC Low, with the opportunity to further expand trastuzumab deruxtecan use into the IHC 0+ breast cancer population and potentially to additional solid tumors. Citation Format: Laura E. Lamb, Nickolay A. Khazanov, Daniel H. Hovelson, Kat Kwiatkowski, D. Bryan Johnson, Daniel R. Rhodes, Scott A. Tomlins. Evaluation of Her2 RNA expression as a potential predictive biomarker for anti-Her2 therapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 968.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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