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  • 1
    In: Cancers, MDPI AG, Vol. 14, No. 1 ( 2021-12-24), p. 79-
    Abstract: Although the detection of CTCs expressing HER2 at low intensity (HER2-low CTCs) has been shown to have a negative prognostic value in metastatic breast cancer (MBC) patients, the biological intrinsic nature of HER2-low CTCs remains unexplored. Considering the technical challenges behind the selective collection of immunophenotype-specific CTCs, we developed a pipeline to individually capture HER2-low CTCs. Four different breast cancer cell lines (MDA-MB-231, T47D, MDA-MB-453, and SKBR3), that are known to express HER2 at different immunohistochemistry levels (respectively classified as 0, 1+, 2+, and 3+), were spiked in healthy donor blood tubes (7.5 mL) and processed with the CellSearch® (Menarini Silicon Biosystems, Bologna, Italy) for enrichment and the DEPArray NxT™ for single cell selection. The HER2 signal-intensities of each cell line was compared using the nonparametric Mann–Whitney U test. The optimal cut-offs to distinguish HER2 1+ from 0 and 2+ cells were calculated performing the Receiver operating characteristic (ROC) curve. Median HER2 signal-intensities detected with the DEPArray NxT™ were: 2.59 (0), 3.58 (1+), 5.23 (2+) and 38.37 (3+). DEPArray NxT efficiently differentiated each single cell line (p 〈 0.001). The area under the ROC curve was 0.69 and 0.70 (respectively 0 vs. 1+ and 1+ vs. 2+) and the optimal calculated cut-offs were 2.85 (lower) and 4.64 (upper). HER2-low CTCs can be detected and separately collected using predetermined intensity cut-offs. This study will allow standardized single-cell or pooled collection of HER2-low CTCs for downstream molecular analyses.
    Type of Medium: Online Resource
    ISSN: 2072-6694
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2527080-1
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  • 2
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. 1036-1036
    Abstract: 1036 Background: The monitoring of CTCs and cfDNA in metastatic BCa showed ability to predict treatment resistance and survival. Here we report a highly significant correlation between HER2 alterations and ESR1 mutations of cfDNA with CTCs and prognosis of BCa, which may help to predict disease recurrence and treatment benefit. Methods: A total of 85 blood samples (7.5ml/each) were collected from 85 patients with stage III/IV BCa who received treatments at Northwestern RHLCCC. CTC enumeration was performed in FDA approved CELLTRACKS ANALYZERII System (Menarini). Plasma cfDNA was analyzed using Guardant360 NGS-based assay including a 73-gene panel for genomic alterations or mutations. We previously reported cut-off of 5.7% (2018 ASCO) was used to dichotomize the prognostic value of cfDNA percentage. Kruskal-Wallis test was used for statistics. Results: Of the 85 whole samples analyzed, there were 72 samples and 67 samples without ESR1 mutations (ESR1 - ) and HER2 alterations ( HER2 - ) respectively, and there are 13 samples and 18 samples that had ESR1 mutations ( ESR1 + ) and HER2 alterations ( HER2 + , 10 amplified, 7 mutated, 1 for both) respectively. CTC positive (≥5) were detected in 13/57 ESR1 - HER2 - samples (Group 1) and 5/15 ESR1 - HER2 + samples (Group 2), 7 /10 ESR1 + HER2 - samples (Group 3), 3/3 ESR1 + HER2 + samples (Group 4). The median CTCs number/sample in Group 3 (15 CTCs) and Group 4 (12 CTCs) were significantly higher than Group 1 (0 CTC) and Group 2 (2 CTCs) (P = 0.0020). There were a significant higher average metastasis sites in Group 3 (3 sites) and Group 4 (3 sites) in compared to Group 1 (2 sites) and Group 2 (1 site) (P = 0.0035). Furthermore, patients in Group 4 ( ESR1 + HER2 + ) has the worst prognosis in compared to other groups (P = 0.0151) on overall survival. Conclusions: Both ESR1 mutations and HER2 alterations in cfDNA contribute to CTCs detection and disease metastasis sites independently, when ESR1 mutations plays a major role. The synergy of ESR1 mutation and HER2 alteration expands the predictive role of liquid biopsy tests monitoring the metastatic prognosis and endocrine resistance for clinical decision-making.
    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: 2019
    detail.hit.zdb_id: 2005181-5
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  • 3
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 4_Supplement ( 2022-02-15), p. P2-01-08-P2-01-08
    Abstract: Introduction: Estrogen Receptor (ER)-positive breast cancer is the most frequent breast cancer subtype. Endocrine therapy (ET) targeting the ER pathway including CDK4/6 inhibitors represents the main initial therapeutic approach. However, clinical resistance associated with progression of disease caused by ESR1 mutations is a recognized an important mechanism of ET resistance. ESR1 mutations, most often detected from liquid biopsies, have been consistently associated with a worse outcome and are being currently evaluated as a potential biomarker to guide therapeutic decisions. Here we reported a new finding on the association between ESR1 amino acid Y537 mutations in ctDNA and circulating tumor cells (CTC) in metastatic breast cancer (MBC). Methods: The study included 158 ER positive MBC patients enrolled under an IRB-approved trial (NU16B06) at Lurie Cancer Center, Northwestern University. The patients received systemic treatments in 2016-2020. Whole blood samples (7.5ml/each) were collected in EDTA tubes from patients who were longitudinally characterized for CTCs before therapy (baseline). CTCs enumeration were performed in FDA approved CELLTRACKS ANALYZERII® System (Menarini) by using CXC Kit contains antibodies targeting EpCAM antigen for capturing CTCs, anti-CK-PE which is specific for the intracellular protein cytokeratin in epithelial cells, DAPI for staining the cell nucleus, anti-CD45-APC is specific for leukocytes. The CTCs were classified based on morphology and correct phenotype as CK+, DAPI+ and CD45-. Plasma ctDNA was isolated using a Qiagen circulating nucleic acid kit, and then was analyzed using the Guardant360 next-generation sequencing (NGS)-based assay. In this study, only patients with ESR1 mutations were included for statistical analyses of correlation between the hotspot mutation with the endocrine therapy resistance by using Causal Inference approach. All statistical analyses were conducted Mann-Whitney U test by IBM SPSS version 23.0. Results: ESR1 mutations were detected in 40 out of 158 patients at baseline. ESR1 Y537(N/C/S) mutations were detected in 13 patients, among which there were 9 patients who only had the Y537(N/C/S) mutations and no other ESR1 hotspot mutations (Group 1) and there were 4 patients who had polyclonal ESR1 mutations. In the latter cohort, there were 17 ESR1 amino acid mutations detected in 31 patients (Group 2) including Q314, T347T, N359I, K362N, E380Q, V392I, G442R, F461I, S463P, S464, I487M, K520K, M528V, L536H, D538G, D545D and Q565. There were no any ESR1 mutations detected in the other 118 patients (Group 3). The CTC & gt;5/7.5mL (Stage IV aggressive) were found in 66.7%, 38.7% and 29.3% patients in Group 1, Group 2 and Group 3 respectively. The median total CTCs was 26.0/7.5mL in MBC patients with ESR1 Y537(N/C/S) mutations (Group 1). The median of total CTCs was 2.0/7.5mL in the MBC patients with polyclonal ESR1 mutations but not on Y537 (N/C/S) (Group 2), and it was 1.0/7.5mL in the group of metastatic breast cancer without ESR1 mutations (Group 3). The median total CTCs in Group 1 was significantly higher than Group 2 (Mann-Whitney U, P & lt;0.05) and Group 3 (P=0.009), which indicated that Y537(N/C/S) mutations were correlated with higher baseline CTCs. Conclusions: In this study, we demonstrated a correlation between presence of ESR1 Y537 mutations and increased CTCs (higher Stage IV aggressive cases) in patients with HR+ MBC, These preliminary data may suggest a critical role of ESR1 Y537 mutations in the metastatic process, also indicating that different ESR1 amino acids mutations may play different roles on disease progress. Larger validation studies are needed to confirm that evaluation of ESR1 Y537 variant together with CTCs numeration is an accurate tool to identify endocrine-refractory disease. Citation Format: Qiang Zhang, Jianhua Jiao, Paolo D'Amico, Andrew A. Davis, Weijun Qin, Lorenzo Gerratana, Saya L. Jacob, Youbin Zhang, Jeannine Donahue, Wenan Qiang, Ami N. Shah, Lisa Flaum, William Gradishar, Leonidas C. Platanias, Massimo Cristofanilli. Esr1 Y537 mutations are associated with increased baseline circulating tumor cells enumeration for patients with estrogen receptor positive metastatic breast cancer [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P2-01-08.
    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: 2022
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    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 4
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 4_Supplement ( 2022-02-15), p. P2-02-05-P2-02-05
    Abstract: Introduction: CTCs are tumor cells that circulate in the blood of patient with primary and MBC and, are responsible for seeing of metastasis. The monitoring of CTCs in MBC emerged as strong prognostic and possible predictive biomarker in oncology over the past couple of decades. Meanwhile, overexpression of HER2 protein has been associated with rapid cell division and worse prognosis of MBC. Here we report a significant correlation between dynamic CTCs enumeration and CTCs-HER2 expression during the systemic therapies, with potential implication to understand treatment resistance. Methods: A total of 298 whole blood samples (7.5ml/each) were collected from 149 patients with stage IV breast cancer (2016-2020) at the Northwestern University Robert H Lurie Comprehensive Cancer Center, before (Baseline) and 3 months after (Time point 2) initiation of systemic treatment. CTC enumerations were performed using the FDA approved CellSearch™ system (Menarini) which is specific for the intracellular protein cytokeratin (CK) in epithelial cells, DAPI stains the cell nucleus, anti-CD45-APC is specific for leukocytes, and anti-HER-2/neu-FLU is specific for HER-2/neu antigen. The CTCs were classified as CK+, EpCAM+, DAPI+ and CD45-. We developed a criteria for evaluation of HER2 expression by 4 different categories (0,1+,2+,3+) based on expression intensity in our lab (present in 2021 ASCO). In this study we included CTCs with all intensities of HER2 expression (1+ to 3+) which was standardized in our lab. Mann-Whitney U test was used for statistics. Results: Of the 149 baseline samples, CTC≥1 were found in 101 patients (67.8%). A change in CTCs between baseline and time point 2 for these 101 patients: Three groups were identified: Group 1: 33patients (33%) with increase CTCs; Group 2: 64 patients (63%) with decreased CTC; Group 3: 4 patients (4%) with no change The median increase of total CTCs and HER2+ CTCs in Group 1 were 7.0 and 2.0, respectively; the median decrease of total CTCs and HER2+ CTCs in Group 2 were 9.5 and 2.0, respectively. The change of HER2+ CTCs was significantly correlated with the change of total CTCs after systemic therapy, with the correlation coefficient as rs=0.662 (p & lt;0.001) for these 101 patients. A significant positive correlation between HER2+ CTCs and total CTCs were found in both Group 1 and Group 2, rs=0.717 (p & lt;0.001) and rs=0.604 (p & lt;0.001) respectively. Furthermore, the ratio of HER2+ CTCs (HER2+ CTCs/total CTCs) in both Group 1 and Group 2 was also significantly correlated with total CTCs after therapy with the corresponding correlation coefficient as rs=0.536 (p & lt;0.001) and rs=0.388 (p & lt;0.001) in Group 1 and Group 2, respectively. Conclusion: Our study demonstrated that dynamic changes of CTCs after systemic therapies, are positively correlated with the HER2 expression in CTCs in different levels of baseline CTCs amounts. Observation of HER2 expression and ratio in CTCs during the course of systemic therapy is useful in monitoring therapy efficacy and potential disease progress. Citation Format: Qiang Zhang, Weijun Qin, Paolo D'Amico, Andrew A. Davis, Jianhua Jiao, Lorenzo Gerratana, Saya L. Jacob, Youbin Zhang, Jeannine Donahue, Wenan Qiang, Ami N Shah, Amir Behdad, Lisa Flaum, William Gradishar, Leonidas C Platanias, Massimo Cristofanilli. Dynamic circulating tumor cell changes in enumeration and HER2 expression during systemic therapy for metastatic breast cancer [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P2-02-05.
    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: 2022
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  • 5
    Online Resource
    Online Resource
    Hindawi Limited ; 2016
    In:  Evidence-Based Complementary and Alternative Medicine Vol. 2016 ( 2016), p. 1-10
    In: Evidence-Based Complementary and Alternative Medicine, Hindawi Limited, Vol. 2016 ( 2016), p. 1-10
    Abstract: Emerging evidence promotes a reassessment of metabolic reprogramming regulation in cancer research. Although there exists a long history of Chinese herbs applied in cancer treatment, few reports have addressed the effects of Chinese herbal components on metabolic reprogramming, which is a central cancer hallmark involved in the slowing or prevention of chemoresistance in cancer cells. In this review, we have focused on four core elements altered by metabolic reprogramming in cancer cells. These include glucose transport, glycolysis, mitochondrial oxidative phosphorylation, and fatty acid synthesis. With this focus, we have summarized recent advances in metabolic reprogramming of cancer cells in response to specific Chinese herbal components. We propose that exploring Chinese herbal interference in cancer metabolic reprogramming might identify new therapeutic targets for cancer and more ways in which to approach metabolism-related diseases.
    Type of Medium: Online Resource
    ISSN: 1741-427X , 1741-4288
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2016
    detail.hit.zdb_id: 2148302-4
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  • 6
    In: Breast Cancer Research, Springer Science and Business Media LLC, Vol. 21, No. 1 ( 2019-12)
    Abstract: Liquid biopsies, including circulating tumor DNA (ctDNA) and circulating tumor cells (CTCs), can be used to understand disease prognosis, tumor heterogeneity, and dynamic response to treatment in metastatic breast cancer (MBC). We explored a novel, 180-gene ctDNA panel and the association of this platform with CTCs and CTC clusters. Methods A total of 40 samples from 22 patients with MBC were included in the study. For the primary analysis, all patients had ctDNA sequencing using the PredicinePLUS™ platform. CTCs and CTC clusters were examined using the CellSearch™ System. Clinical and pathological variables were reported using descriptive analyses. Associations between CTC count and specific genomic alterations were tested using the Mann-Whitney U test. Results Of 43 sequenced patients, 40 (93%) had at least one detectable genomic alteration with a median of 6 (range 1–22). Fifty-seven different genes were altered, and the landscape of genomic alterations was representative of MBC, including the commonly encountered alterations TP53 , PTEN , PIK3CA , ATM , BRCA1 , CCND1 , ESR1 , and MYC . In patients with predominantly hormone-receptor-positive MBC, the number of CTCs was significantly associated with alterations in ESR1 ( P   〈  0.005), GATA3 ( P   〈  0.05), CDH1 ( P   〈  0.0005), and CCND1 ( P   〈  0.05) (Mann-Whitney U test). Thirty-six percent of patients had CTC clusters, which were associated with alterations in CDH1 , CCND1 , and BRCA1 (all P   〈  0.05, Mann-Whitney U test). In an independent validation cohort, CTC enumeration confirmed significant associations with ESR1 and GATA3 , while CTC clusters were significantly associated with CDH1 . Conclusions We report on a novel ctDNA platform that detected genomic alterations in the vast majority of tested patients, further indicating potential clinical utility for capturing disease heterogeneity and for disease monitoring. Detection of CTCs and CTC clusters was associated with particular genomic profiles.
    Type of Medium: Online Resource
    ISSN: 1465-542X
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
    detail.hit.zdb_id: 2041618-0
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  • 7
    In: Critical Reviews in Oncology/Hematology, Elsevier BV, Vol. 145 ( 2020-01), p. 102856-
    Type of Medium: Online Resource
    ISSN: 1040-8428
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
    detail.hit.zdb_id: 2025731-4
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  • 8
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 41, No. 16_suppl ( 2023-06-01), p. 1038-1038
    Abstract: 1038 Background: The monitoring of circulating tumor DNA (ctDNA) and circulating tumor cell (CTC) in patients with MBC predicts treatment resistance and prognosis. We previously reported that ESR1 alterations in ctDNA were associated with tumor tissue characteristics and CTCs which may predict metastasis and worse prognosis in MBC (2019 ASCO#1036, 2022 ASCO#1057). Furthermore, ctDNA can be used to evaluate tumor heterogeneity in MBC (2020 ASCO #1028). Here, we report a multi-factor analysis in ctDNA and CTC which may help to elucidate disease prognosis in MBC. Methods: This study included 391 MBC patients who received systemic treatment before 2022 under an IRB-approved clinical trial at NU Lurie Cancer Center. Whole blood samples (7.5ml/each) were collected from all patients at three time points including before treatment, three months, and six months after treatment for CTC enumeration using the CELLTRACKS system (Menarini). The corresponding ctDNA was analyzed by Guardant360 NGS evaluating 74-gene mutations. The maximum follow-up period was 380 months from first diagnosis. Causal Inference with Ensembel Learning was used for statistical analyses. Results: Of the 391 patients ctDNA analysis, TP53 mutations were found in 160 patients (TP53 Mut , 40.92%), CDH1 mutations were found in 21 patients (CDH1 Mut , 5.37%), Myc mutations were found in 53 patients (Myc Mut , 13.55%), and BRAF mutations were found in 35 patients (BRAF Mut , 8.95%) inclusive of all timepoints. The corresponding ctDNA mutations were not detected in 231 patients for TP53 (TP53 WT , 59.08%), in 370 patients for CDH1 (CDH1 WT , 94.63%), in 338 patients for Myc (Myc WT , 86.45%), or in 356 patients for BRAF (BRAF WT , 91.05%). There was shorter median overall survival (mOS) in the ctDNA mutated groups compared to the non-mutated groups: 88 months TP53 Mut vs 184 months TP53 WT , HR 1.91, P = 0.0002; 133 months CDH1 WT vs 81 months CDH1 Mut , HR 2.03, P = 0.02; 76 months Myc Mut vs 179 months Myc WT , HR 3.24, P 〈 0.0001, and 77 months BRAF Mut vs 146 months BRAF WT HR 2.45, P = 0.007. Furthermore, ≥5 CTCs were found in 32.42% patients. These patient had a shorter mOS compared to patients had no CTC detected at any time point (70.1 months vs 131 months; P 〈 0.001; HR 2.97). CTC-clusters were 50 times more likely to predict metastasis than single CTCs. We also found that greater than 5 CTC-clusters, clusters with 1-5, and no CTC-clusters were found in 12.55%, 11.25%, and 76.19% patients, respectively. Larger CTC-clusters had shorter mOS at 63 months, 121 months, and 163 months, respectively (P 〈 0.0001). Conclusions: In this study, we identified multiple liquid biopsy factors including ctDNA and CTC-clusters at various time points, and found that these are associated with prognosis. The synergy of multiple ctDNA mutations and CTC-clusters during treatment may expand the predictive role of liquid biopsy for the monitoring of disease progression in patients MBC.
    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: 2023
    detail.hit.zdb_id: 2005181-5
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  • 9
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 16_Supplement ( 2020-08-15), p. 3120-3120
    Abstract: Introduction: Although CTCs display the same spatial and temporal heterogeneity as the primary tumor, they represent a privileged window to disclose mechanisms of metastases. We previously reported that overexpression of HER2 in CTCs is associated with worse prognosis in MBC (2018 AACR #5195). Herein, we report a new finding of heterogeneity profiling for HER2 positive CTC by using a new approach for single CTC isolation and sequencing. Methods: Whole blood sample (7.5ml/each) was collected from stage III/IV MBC patients before therapy. CTC enumeration were performed in FDA approved CellSearch™ System by targeting the EpCAM antigen for capturing CTCs which were then stained by Anti-CK-PE, DAPI, anti-CD45-APC and anti-HER2-FITC. The single HER2+ CTCs were isolated by using DEPArrayTM System (Menarini). The single cell DNA was isolated and the initial library was prepared by SMARTer® PicoPLEX® Gold Single Cell DNA-Seq Kit, and the exome capture was performed by Twist Human Core Exome EF Multiplex Complete Kit. The sequencing was prepared by NextSeq 500 mid output V2.5 kit and was performed on the NextSeq 500 (Illumina). It was a paired end run, 75×75 bps run with dual indexing. Results: We identified 208 CTCs by CellSearch™ system, including 114 HER2+ CTCs and 4 CTC-clusters. Single HER2+ CTC was isolated and sequenced. The sequencing data was processed following the GATK pipeline and annotated using SnpEff. There were 362,015 counts (58.23%) for intron variants, 104,011 counts (16.73%) for intergenic variants, 56,678 counts (9.19%) for exon variants, 41,133 counts (6.67%) for downstream genes, 33,903 counts (5.45%) for upstream genes and others (3.73%). There were 44 genes (64 sites) variants were identified to have highest impact effect (≥20) on HER2+ CTC chromosome, among which TP53, PIK3CA, ESR1, PIK3R1 variants matched the most recent genomic characterization report for MBC tissue (Bertucci F. Nature 2019) when the XYLB, CYP17A1, CA2 and CAD variants were firstly reported. More important, although overexpression of PTP1B (PTPN1) was implicated in the development of MBC, our evidences firstly demonstrated that PTPN1 mutation is the most important variant (≥20) in CTCs for MBC. Furthermore, we also found that ESR1 mutation in CTC correlated with ESR1 status in ctDNA. Except for the high impact variants, there were 42 genes (66 sites) and 83 genes (136 sites) have medium (10-19) and significant (5-9) impact variants respectively. Conclusion: Genomic characterization of HER2 positive single CTCs will elucidate new specific gene alterations (e.g. PTPN1) associated with disease metastasis, which will improve understanding of this critical process in MBC and lead to the development of novel drugs aimed at their eradication using molecularly driven therapies for this deadly condition. Citation Format: Qiang Zhang, Lorenzo Gerratana, Kara L. Pivarski, Xinkun Wang, Zhe Ji, Emily Stroup, Elena Vagia Vagia, Andrew Adam Davis A. Adam Davis, Ami Shah, Katy L. Kerby, Lisa Flaum Flaum, Firas Wehbe, Youbin Zhang, Wenan Qiang, Amir Behdad, William Gradishar, Leonidas Platanias, Massimo Cristofanilli. Genetic heterogeneity profiling for HER2 positive single circulating tumor cell (CTC) in metastatic breast cancer (MBC) by application of DEPArrayTM System and single cell DNA sequencing for HER2 positive single circulating tumor cell (CTC) in metastatic breast cancer (MBC) by application DEPArrayTM system and single cell DNA sequencing [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 3120.
    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: 2020
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    detail.hit.zdb_id: 410466-3
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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 4_Supplement ( 2022-02-15), p. P2-01-04-P2-01-04
    Abstract: Introduction: Metastatic breast cancer (MBC) is a challenging clinical condition because most tumors will develop resistance to endocrine treatment as the cancer progresses. We previously reported the correlation of ESR1 mutations in circulating tumor DNA (ctDNA) and CTCs resulted in worse prognosis in MBC (ASCO-2020). In this study, we report a new finding that specific hotspots of ESR1 ctDNA mutations are associated with endocrine therapy resistance status in MBC and their allele frequency (AF) can be used to monitor response. . Methods: Plasma cfDNA were collected from a total of 299 MBC patients (2016-2019) after informed consent under an IRB-approved trial at the Lurie Cancer Center at Northwestern University. ER+ patients are 180 out of 297 (61%). Patients with HR+ MBC were evaluated before endocrine therapy (Anastrozole, Exemestane and Letrozole ) +/- CDK4/6 inhibitors (Palbociclib, Ribociclib, Abemaciclib), and every six months after initiation of therapy. Response to therapy was recorded according to the different time points. Endocrine resistance is defined as relapse during the first 2 years of adjuvant endocrine therapy or progressive disease within the first 6 months of first-line endocrine therapy for metastatic breast cancer. Plasma ctDNA was isolated using a Qiagen circulating nucleic acid kit, and then was analyzed using the Guardant360 Health next-generation sequencing (NGS)-based assay (Guardant Health). In this study, only patients with ESR1 mutations were included for statistical analyses of correlation between the hotspots mutation with the endocrine therapy resistance by using Causal Inference approach. All statistical analyses were conducted Mann-Whitney U test by IBM SPSS version 23.0. Results: There were total of 239 ESR1 ctDNA mutations detected in 18 hotspots from 42 patients at different time points, among which there were 131 endocrine therapy resistance status in all time points. The numbers of ESR1 hotspots mutations and the corresponding endocrine therapy resistance cases were found in the following hotspots respectively as Q314 (3 cases with mutation, 0 cases with resistance), T347T (4, 0), N359I (4, 0), K362N (4, 0), E380Q(32, 16), V392I (1, 1), G442R(3, 0), F461I(3, 0), S463P (3, 2), S464 (1, 0), I487M(14, 0), K520K (2, 0), M528V (5, 0), L536H (31, 19), Y537N/C/S (46, 34), D538G (77, 59), D545D(2, 0) and Q565 (4, 0). There were 50%, 61.2%, 73.9% and 76.6% patients developed endocrine therapy resistance when they had E380Q, L536H, Y537N/C/S and D538G mutations respectively at any time points. Furthermore, among these 4 hotspot mutations, the MBC patients with lack of response to endocrine therapy have significantly higher percentage of mutated DNA than the patients with sensitive response. For the patients with E380Q mutation, the mean percentage of mutation DNA was 8.44% for those with lack of response and lower than 0.01% for those with sensitive response (P & lt;0.001). For the patients with L536H mutation, the mean percentage of mutation DNA was 3.48% for those with lack of response and lower than 0.01% for those with sensitive response (P & lt;0.001). For the patients with Y537N/C/S mutation, the mean percentage of mutation DNA was 5.23% for those with lack of response and 0.02% for those with sensitive response (P & lt;0.001). For the patients with D538G mutation, the median percentage of mutation DNA was 5.13% for those with lack of response and 0.01% for those with sensitive response (P & lt;0.001). Conclusions: The outcome of this study demonstrated that patients with mutations on known ESR1 hotspots (E380Q, L536H, Y537N/C/S and D538G) develop clinical resistance to endocrine therapy. Evaluation of these ESR1 hotspots mutations by ctDNA could be reliably used to monitor the response to endocrine therapy and predict the prognosis for MBC patients. Citation Format: Qiang Zhang, Paolo D'Amico, Weijun Qin, Jianhua Jiao, Andrew A. Davis, Lorenzo Gerratana, Saya L. Jacob, Youbin Zhang, Jeannine Donahue, Wenan Qiang, Ami N. Shah, Amir Behdad, Lisa Flaum, William Gradishar, Leonidas C Platanias, Massimo Cristofanilli. Esr1 hotspot mutations in circulating tumor DNA mutation are associated with endocrine therapy resistance in metastatic breast cancer [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P2-01-04.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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