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  • American Association for Cancer Research (AACR)  (6)
  • Sim, Sung Hoon  (6)
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  • American Association for Cancer Research (AACR)  (6)
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  • 1
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2020
    In:  Molecular Cancer Research Vol. 18, No. 2 ( 2020-02-01), p. 253-263
    In: Molecular Cancer Research, American Association for Cancer Research (AACR), Vol. 18, No. 2 ( 2020-02-01), p. 253-263
    Abstract: The heterogeneity of triple-negative breast cancer (TNBC) poses difficulties for suitable treatment and leads to poor outcome. This study aimed to define a consensus molecular subtype (CMS) of TNBC and thus elucidate genomic characteristics and relevant therapy. We integrated the expression profiles of 957 TNBC samples from published datasets. We identified genomic characteristics of subtype by exploring the pathway activity, microenvironment, and clinical relevance. In addition, drug response (DR) scores (n = 181) were computationally investigated using chemical perturbation gene signatures and validated in our own patient with TNBC (n = 38) who received chemotherapy and organoid biobank data (n = 64). Subsequently, cooperative functions with drugs were also explored. Finally, we classified TNBC into four CMSs: stem-like; mesenchymal-like; immunomodulatory; luminal-androgen receptor. CMSs also elucidated distinct tumor-associated microenvironment and pathway activities. Furthermore, we discovered metastasis-promoting genes, such as secreted phosphoprotein 1 by comparing with primary. Computational DR scores associated with CMS revealed drug candidates (n = 18), and it was successfully evaluated in cisplatin response of both patients and organoids. Our CMS recapitulated in-depth functional and cellular heterogeneity encompassing primary and metastatic TNBC. We suggest DR scores to predict CMS-specific DRs and to be successfully validated. Finally, our approach systemically proposes a relevant therapeutic prediction model as well as prognostic markers for TNBC. Implications: We delineated the genomic characteristic and computational DR prediction for TNBC CMS from gene expression profile. Our systematic approach provides diagnostic markers for subtype and metastasis verified by machine-learning and novel therapeutic candidates for patients with TNBC.
    Type of Medium: Online Resource
    ISSN: 1541-7786 , 1557-3125
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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  • 2
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2019
    In:  Cancer Research Vol. 79, No. 13_Supplement ( 2019-07-01), p. 3424-3424
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 13_Supplement ( 2019-07-01), p. 3424-3424
    Abstract: Objective: The heterogeneity of triple negative breast cancer (TNBC) confers the difficulties in chemotherapy and induces poor outcome. Subtype classification of TNBC using gene expression profile could achieve to identify molecular markers to suggest therapeutic guidance. Methods: In this study, we collected gene expression profiles of 957 TNBC patients from GEO and integrated into one meta-data using meta analysis. We identified subtypes using nonnegative matrix factorization (NMF) and explored for comprehensive characteristics of consensus molecular subtype (CMS) by investigating key pathway activity, tumor microenvironment, stemness and so on. In addition, we computed the drug response score (DRscore) from MSigDB chemical perturbation signature gene set and examined drug associations with key pathways of CMS. Drug candidates were validated from independent two data sets; our patients’ expression profile (n = 38) and biobank TNBC organoids (n=64). Results: We classified four different TNBC subtypes displaying gene expression patterns including mesenchymal-like (MSL), luminal-AR (LAR), immunomodulatory (IM), and stem-like (SL). MSL were activated pathways with epithelial-to-mesenchymal (EMT) and TGF-beta signaling whereas SL was up-regulation of cell cycle and WNT signaling pathway. The LAR subtype was activated of androgen and estrogen receptor pathway. Although metastatic TNBC generally shared equal activity of key pathways with primary, coagulation, toll-like receptors, TNF, and Jak-STAT signaling pathways were dysregulated in metastasis. Especially, SPP1 gene expression to induce metastasis was associated with poor prognosis. DRscores were discriminative in CMS of meta-data and biobank expression profile. We found subtype-specific 18 drugs as therapeutic candidates and these drugs were also correlated with key pathways. In a case of cisplatin, DRscores appear resistant in MSL while response in SL. Our patients’ expression profiles were shown to consistent result as well as biobank. Conclusion: These finding might facilitate understanding heterogeneity of TNBC. Our novel approach to explore drug response suggested functional intervention landscape of drug response without in-vivo experiment. Taken together, we propose biomarkers for diagnosis and also suggest therapeutic strategy depending on CMS. Citation Format: Jihyun Kim, Doyeong Yu, Jiyoon Noh, Wooyeong Jang, Hanna Yang, Youngmee Kwon, Keun Seok Lee, Sung Hoon Sim, Sun-Young Kong, In Hae Park, Charny Park. Consensus molecular subtype of triple negative breast cancer to implicate in chemotherapy response [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3424.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
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  • 3
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 4_Supplement ( 2022-02-15), p. P1-18-32-P1-18-32
    Abstract: Purpose: T-DM1, an antibody-drug conjugate, has significant antitumor activity in patients with HER2-positive metastatic breast cancer (mBC) patients who had progressed after trastuzumab-based chemotherapy. This study was conducted to investigate the clinical practice and factors related with outcomes of T-DM1 use for HER2-positive mBC patients in the nation-wide real-world setting. Method: This complete enumeration study included the patients with HER2-positive mBC who received T-DM1 as palliative therapy from August 2017 to December 2018 under the registry of Health Insurance Review & Assessment Service in Korea. Safety and outcomes of T-DM1 including overall response rate (ORR), progression-free survival (PFS), and overall survival were evaluated. Factors significant in univariate analysis were analyzed in multivariate model. Result: From the sixty institutions, a total of 824 patients were enrolled. Mean age was 58 years-old, 818 patients (99.3%) were female and 516 patients (62.6%) had relapsed after curative treatment. About 40% patients received T-DM1 as first or second line treatment, 21.5% received it as third line and 37.3% as fourth or over line. During a median follow-up of 16.8 months, the ORR was 32.8%, median PFS was 7.2 months and median OS was not reached. In multivariate analysis, clinical factors associated with the lower PFS were age ( & lt; 65 year-old, hazard ratio[HR] 1.53, 95% confidence interval[CI] : 1.214-1.919, p & lt; 0.001), poor ECOG performance status (PS ≥ 2, HR 1.98, 95% CI: 1.493-2.626, p & lt; 0.001), previous pertuzumab use (HR 1.40, 95% CI: 1.118-1.742, p = 0.003) and previous lapatinib use (HR 1.29, 95% CI: 1.047-1.586, p =0.017). The common grade 3-4 adverse events were thrombocytopenia (13.0%), neutropenia (2.9%), and elevation of liver enzyme (2.5%). Hypokalemia (≤ 3.0 mmol/L) and any-grade bleeding event such as epistaxis and gum-bleeding occurred in 25 (3.1%) and 94 patients (11.4%), respectively. Conclusion: This is the first, nationwide, real-world data about T-DM1 use of the HER2-positive metastatic breast cancer patients in Korea. The efficacy and toxicity profile of T-DM1 in the real-world practice were comparable with those of randomized trials. Patients’ factors and previous anti-HER2 therapy could predict the outcomes of T-DM1. Further studies to reveal the subtypes of good responders to T-DM1 and the sequence of anti-HER2 therapy are warranted. Citation Format: Sun Kyung Baek, Jae-Ho Jeong, Yeon-Hee Park, Hee Kyung Ahn, Min Hwan Kim, In Hae Park, Young Ju Suh, Dae-Won Lee, Sung Hoon Sim, Jee Hyun Kim, Hyun-Jeong Shim, Yeesoo Chae, Su-Jin Koh, Hyorak Lee, Jieun Lee, Jae-Ho Byun, Youngmi Seol, Eun Mi Lee, Jin Seok Ahn, Kyung-Hae Jung, Seock-Ah Im, Keun Seok Lee, Joohyuk Sohn, Kyoung Eun Lee. A nationwide real-world study for evaluation of efficacy and safety of T-DM1 in patients with HER2-positive locally-advanced unresectable or metastatic breast cancer in Korea (KCSG BR19-15) [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 P1-18-32.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 4
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 78, No. 13_Supplement ( 2018-07-01), p. 4279-4279
    Abstract: Objective: The molecular profile of primary breast cancer has been studied associated with drug responses. Metastatic triple-negative breast cancer (mTNBC) is heterogeneous disease and there is no effective therapeutic target. We investigated the genomic profiles of mTNBC to find potential drug targets. Methods: Metastatic breast cancer samples were collected for genomic analysis (fresh tissue, n=17; FFPE, n=28). We conducted both whole-exome sequencing and RNA-seq for these samples and validated genomic variants by Sanger sequencing. We built up pipelines for somatic mutation, copy number alteration, mRNA expression, and fusion gene analysis. Precise somatic mutations were additionally filtered out for FFPE without matched normal. In addition, we investigated the differences of genomic profiles of mTNBC with those of primary breast cancer from TCGA data. Results: Most of somatic mutation profiles of mTNBC were similar with those of primary cancer. However, there were some specific alterations that were not found in primary tumor. TP53 ( & gt;40 %) was concordantly discovered with primary TNBC, but KDM6A ( & gt;20 %) was highly recurrent than other breast datasets. We ascertained the diversity of immune cell activity from mRNA expression analysis, and additional pathways also represented the variance within our mTNBC population, which was differentiated from those of primary breast cancer. In addition, we found two novel FGFR1/2 fusion in two cases and validated it by RT-PCR and Western blot. Conclusion: We found specific genomic profiles of mTNBC that were distinct from those of primary tumor. Novel structural variants discovered in our dataset could be potential therapeutic targets for mTNBC patients. Citation Format: Wooyeong Jang, Jihyun Kim, Hanna Yang, Youngmee Kwon, Keun Seok Lee, Sung Hoon Sim, Sun-Young Kong, Kyounghee An, In Hae Park, Charny Park. The genomic profile investigation of metastatic triple-negative breast cancer for precision medicine achievement [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4279.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2018
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  • 5
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2018
    In:  Cancer Research Vol. 78, No. 13_Supplement ( 2018-07-01), p. 5537-5537
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 78, No. 13_Supplement ( 2018-07-01), p. 5537-5537
    Abstract: Background: ESR1 mutations are known as a major mechanism of resistance to antihormonal therapy in breast cancer. ESR1 mutation frequency is high in metastatic disease when the tumor is refractory to aromatase inhibitor, in contrast to nonmetastatic setting. We tried to detect ESR1 mutations (Y537N, Y537S and D538G) in circulating tumor DNA (ctDNA). Method: Patients who had hormone receptor-positive breast cancer were enrolled in this study. Plasma samples were collected and ctDNA was analyzed by ddPCR and digital targeted DNA panel. Primers and probes for ddPCR were designed for Y537N, Y537S and D538G mutations using sequences of wild-type normal human DNA. Results: A total of 40 patients were enrolled. Histologic type was invasive ductal carcinoma (IDC) in 32, invasive lobular carcinoma (ILC) in 4 and others in 4. Thirty-four patients received endocrine treatment and 6 patients had no prior exposure to endocrine treatment. Using ddPCR, overall mutation rate was 52.5% (n=21). D538G was the most frequent mutation (n=16), followed by Y537N (n=9), and Y537S (n=6). Nine patients showed multiple ESR1 mutations. In patients without endocrine exposure (n=6), 2 patients showed ESR1 mutations (Y537N, Y537S). The mutation detection rate was higher in patients with prior use of aromatase inhibitor (AI) than in prior use of tamoxifen (TMX) only (prior AI, 17/29=58.6%; prior TMX, 2/5= 40%). In 9 cases, we conducted both ddPCR and targeted DNA panel assay using ctDNA at the same time. Overall concordance rate between two platforms was 55.6% (5/9). Among discordant cases (n=4), ESR1 mutations were detected by ddPCR in 3 cases, which were not found in DNA panel assay. Conclusions: ESR1 mutations can be robustly identified with ctDNA analysis. Overall mutation detection rate was comparable to other previous reports. However, there is a significant discordance between clinically available NGS panel assay and ddPCR method in detection of ESR1 mutations. Further study will be needed for clinical implementation of ESR1 mutation analysis using ctDNA. Citation Format: Sung Hoon Sim, Su Yeon Jeon, Kyoung Hee An, Sun Young Kong, Min Jung Kwon, Keun Seok Lee, In Hae Park. Circulating tumor DNA analysis for ESR1 mutations in patients with hormone receptor-positive metastatic breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 5537.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2018
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  • 6
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 16_Supplement ( 2020-08-15), p. 1667-1667
    Abstract: Background: Patient-derived xenografts (PDX) and organoids (PDO) have become important translational model systems for cancer research, especially for drug responses prediction. Since PDX models have limitation as low success rate and takes long time, PDO is emerging as a new technique. Here, we compared the drug responses in PDX and PDO models using tissues obtained from treatment-refractory breast cancer patients. Methods: Tumor tissues from breast cancer patients were implanted into the mammary fat pads of immunodeficient mice. Tumor size of mice were measured 3 times a week using digital caliper. When xenograft tumors reached 200mm3 in size, drug treatment was started. Drugs selection was based on gene expression patterns, the presence of available drugs, and clinical treatment history. The organoids were established from PDX tumor pieces. Organoids were seeded and cultured in 96-well plates (2000 cells per well) for drugs testing. We treated with a single or combination drugs in PDX and PDO models. For interpretation of drug sensitivity results of PDO or PDX, we referred to IC50 database of 2D cell lines or results from references. Results: We compared the drugs response efficacy in five cases with paired PDX and PDO models; 1 hormone receptor (HR) positive+; HER2 negative-, 1 HR+;HER2+ and 3 TNBC (triple-negative breast cancer) subtypes. In HR+;HER2- case, drug test results between PDX and PDO partially matched in single treated group. In HR+;HER2+, the results of combination treated groups were partially matched in PDX and PDO model. The results for two TNBC samples matched in single or combination treated groups. Especially, tumor size or cell viability of one TNBC case showed significant differences between control and sorafenib/everolimus combination treated groups. The other case of TNBC type had partially matched in PDX and PDO model. We will analyze the consistency for the genomic profiles of tumors in patients, PDX, and PDO models. Conclusion: We have compared the various drugs responses through the successful establishment of PDO and PDX from the different breast cancer subtypes. Although the results are not perfectly matched, it showed that these models have potential to assist the chemotherapy strategies for each patient and predict outcome of treated patient's prognosis. In the future, we will be focused on explaining why the results of drug response between PDX and PDO were inconsistent. (This study was supported by National Cancer Center, Korea, 1710450, and 1810101) Citation Format: Jin-Sun Ryu, You-sun Noh, Bo-Ra Kim, Yun-Hee Kim, A-Ra Jeon, Sung Hoon Sim, In Hae Park, Eun Gyeong Lee, Eun Sook Lee, Keun Seok Lee, Sun-Young Kong. Comparison of drug responses using patient-derived xenograft (PDX) and patient-derived organoid (PDO) models from treatment-refractory breast cancer [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 1667.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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