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  • 1
    In: Cancer Communications, Wiley, Vol. 38, No. 1 ( 2018-12), p. 1-11
    Abstract: An increasing number of cancer patients die of cardiovascular diseases. The cardiotoxicity of chemotherapy is particularly important in triple‐negative breast cancer (TNBC) with limited therapeutic options. Cardiac autophagy is an important mechanism of cardiotoxicity. This research was aimed to investigate the cardiotoxicity of chemotherapy in TNBC, screen the susceptible population, and determine the relationship between cardiotoxicity and autophagy‐related polymorphisms. Methods From a total of 2450 stage I‐III TNBC patients, 147 met the inclusion criteria and finally recruited. Electrocardiography (ECG) was performed before most chemotherapy cycles, and echocardiography (UCG) was performed according to clinical needs. All ECG and UCG records were re‐interpreted by cardiologists at the National Center for Cardiovascular Disease, Fuwai Hospital. According to the National Center for Biotechnology Information and the Catalog of Somatic Mutations in Cancer database, we selected 25 single nucleotide polymorphisms (SNPs) related to autophagy and genotyped the 147 TNBC patients. Paired‐sample T tests, Chi squared tests, and logistic regression models were employed for the analysis. Results Only 46 (31.3%) patients had normal ECG records after every chemotherapy cycle. Among the 16 patients who underwent UCG, 2 (12.5%) had a reversible decrease of left ventricular ejection fraction. The use of anthracyclines and excessive alcohol consumption were risk factors of ECG abnormalities. With the continuation of chemotherapy, heart rate gradually increased. Anthracyclines were associated with QRS duration abnormalities ( P = 0.043). After genotyping for 25 autophagy‐related SNPs, we found that the G allele of autophagy‐related 13 ( ATG13 ) rs10838611 was significantly associated with ECG abnormalities (odds ratio = 2.258, 95% confidence interval = 1.318–3.869; P = 0.003). Conclusion ECG abnormalities caused by chemotherapy are common in the real world. Autophagy‐related SNPs are associated with chemotherapy‐induced cardiotoxicity, thereby providing new evidence for autophagy as a cause of chemotherapy‐induced cardiac damage.
    Type of Medium: Online Resource
    ISSN: 2523-3548 , 2523-3548
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2922913-3
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  • 2
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 36, No. 15_suppl ( 2018-05-20), p. e24039-e24039
    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
    detail.hit.zdb_id: 2005181-5
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  • 3
    Online Resource
    Online Resource
    Frontiers Media SA ; 2020
    In:  Frontiers in Oncology Vol. 10 ( 2020-7-7)
    In: Frontiers in Oncology, Frontiers Media SA, Vol. 10 ( 2020-7-7)
    Type of Medium: Online Resource
    ISSN: 2234-943X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2020
    detail.hit.zdb_id: 2649216-7
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  • 4
    In: Cancer Communications, Wiley, Vol. 39, No. 1 ( 2019-12), p. 1-10
    Abstract: Epithelial–mesenchymal transition (EMT) is implicated in the metastatic process and presents a challenge to epithelial cell adhesion molecule‐based detection of circulating tumor cells (CTCs), which have been demonstrated to be a prognostic indicator in metastatic breast cancer. Although evidence has indicated that heterogeneity of CTCs based on EMT markers is associated with disease progression, no standard recommendations have been established for clinical practice. This study aimed to evaluate the prognostic significance of dynamic CTC detection based on EMT for metastatic breast cancer patients. Methods We enrolled 108 human epidermal growth factor receptor 2‐negative metastatic breast cancer patients from the prospective phase III CAMELLIA study and applied the CanPatrol CTC enrichment technique to identify CTC phenotypes (including epithelial CTCs, biphenotypic epithelial/mesenchymal CTCs, and mesenchymal CTCs) in peripheral blood samples. Receiver operating characteristic curve analyses of total CTC count and the proportion of mesenchymal CTCs for predicting the 1‐year progression‐free survival (PFS) rate were conducted to determine the optimal cut‐off values, and Kaplan–Meier analysis and Cox proportional hazards regression analysis were performed to investigate the prognostic value of the cut‐off values of both total CTC count and the proportion of mesenchymal CTCs in combination. Results For predicting the 1‐year PFS rate, the optimal cut‐off value of total CTC count was 9.5 (Area under the curve [AUC] = 0.538, 95% confidence interval [CI] = 0.418–0.657), and that of the proportion of mesenchymal CTCs was 10.7% (AUC = 0.581, 95% CI = 0.463–0.699). We used the two cut‐off values in combination to forecast PFS in which the total CTC count was equaled to or exceeded 10/5 mL with the proportion of mesenchymal CTCs surpassed 10.7%. Patients who met the combined criteria had significantly shorter median PFS than did those who did not meet the criteria (6.2 vs. 9.9 months, P =0.010). A nomogram was constructed based on the criteria and significant clinicopathological characteristics with a C‐index of 0.613 ( P = 0.010). Conclusions The criteria, which combine the total CTC count and the proportion of mesenchymal CTCs, may be used to monitor therapeutic resistance and predict prognosis in patients with metastatic breast cancer. Trial registration ClinicalTrials.gov . NCT01917279. Registered on 19 July 2013, https://clinicaltrials.gov/ct2/show/NCT01917279?term=NCT01917279 & rank=1 .
    Type of Medium: Online Resource
    ISSN: 2523-3548 , 2523-3548
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 2922913-3
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  • 5
    In: The Breast, Elsevier BV, Vol. 52 ( 2020-08), p. 17-22
    Type of Medium: Online Resource
    ISSN: 0960-9776
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
    detail.hit.zdb_id: 2009043-2
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  • 6
    In: SSRN Electronic Journal, Elsevier BV
    Type of Medium: Online Resource
    ISSN: 1556-5068
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
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  • 7
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2017
    In:  Journal of Clinical Oncology Vol. 35, No. 15_suppl ( 2017-05-20), p. e23039-e23039
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 15_suppl ( 2017-05-20), p. e23039-e23039
    Abstract: e23039 Background: It is particularly important to provide precise therapies and understand tumor heterogeneity based on the molecular typing of gene expression. Yet the landscape of somatic mutations in different subtypes of advanced breast cancer (ABC) is largely undetermined. Methods: Overall, 100 blood samples were obtained from 100 advanced female breast cancer patients who underwent therapy at Cancer Hospital, Chinese Academy of Medical Sciences from March 2015 to September 2016. Mutations in 1021 tumor-related genes in ctDNA was assayed by gene-panel target-capture next-generation sequencing. Results: Somatic genomic alterations in ctDNA including copy number variants and point mutations were identified in 96 of 100 patients (96.0%). The number of somatic mutations varied markedly between individual patients (mean 2.9, range1-31). No difference was found between four subtypes for the number of somatic mutations. However, the mean number of somatic mutations was higher in age at 40-50 year than patients over age 60 ( p= 8.46 vs 3.88; p= 0.01). Results from multivariate analyses showed that the number of somatic mutations was increased with the number of endocrine therapy line ( p= 0.007). TP53 and PIK3CA were two most frequently mutated genes detected in ctDNA of 100 patients which were recurrently detected in 43 (43.0%) and 32 (32.0%) patients, respectively. ESR1/PIK3CA were more prevalent in HR+ cancers ( p= 0.007, 0.025 respectively). NOTCH1 are more frequently detected in HER2- group than in HER2+ patients (15.63% vs 2.94%; p= 0.033). In multiple logistic regression analysis indicated that pathological grade, tumour size at diagnosis and PR statue were positive associated with PIK3CA mutations. Multiple regression analysis also revealed that ki-67, metastatic at diagnosis, number of metastatic sites, number of endocrine line were associated with ESR1 mutations. Conclusions: The results revealed that different subtypes ABC have their own genetic alterations features. Certain gene mutations may be related to clinical treatment especially endocrine therapy.
    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: 2017
    detail.hit.zdb_id: 2005181-5
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  • 8
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 4_Supplement ( 2020-02-15), p. PD10-04-PD10-04
    Abstract: Background:Circulating tumor cells (CTCs), potentially involved in the metastatic cascade, may have direct interactions with immune cells during cancer dissemination, and correlate with the inflammatory state in the target organ of metastatic extravasation. Although positive CTC status has been validated as a prognostic marker in breast cancer, the interaction between immune cells and CTCs during the progress of Epithelial-mesenchymal transition (EMT), and the clinical implications of CTC-associated white blood cell clusters (CTC-WBC clusters) for metastatic breast cancer are largely uncharacterized. We investigated the predictive value of different phenotypes of CTC-WBC clusters as a prognostic biomarker in a prospective study for metastatic breast cancer. Methods:The prospective study enrolled 134 patients with HER2-negative metastatic breast cancer who underwent docetaxel plus capecitabine as first-line chemotherapy and subsequently used capecitabine as maintenance therapy from Nov 2013 to Sep 2017. Serial peripheral blood samples were collected dynamically until disease progression for CTC detection using CanPatrol CTC enrichment technique. CTCs were isolated using a filter-based method combined with an RNA in situ hybridization method based on the branched DNA signal amplification technology according to EMT markers. Follow-up data collection was conducted until May 2019 and data analysis was performed in June 2019. Kaplan-Meier analysis and Cox proportional hazards regression analysis were performed to investigate the prognostic value of CTC-WBC clusters. Results:Median age of the 134 female patients was 51.0 years (range,21 to 73 years), and 119 (88.8%) of them were estrogen receptor-and/or progesterone receptor-positive. Median progression-free survival (PFS) was 9.9 months (95% CI, 8.1 to 11.6 months). 116 (86.6%) of the 134 patients had detectable CTCs at baseline with a mean number of 8 CTCs per 5 ml of blood, including epithelial CTCs, biphenotypic epithelial/mesenchymal CTCs and mesenchymal CTCs. Among them, CTC-WBC clusters were detectable in 9 patients, of whom 5 patients had mesenchymal CTCs contained in the CTC-WBC clusters. The patients with at least one detectable mesenchymal CTC-WBC clusters were characterized by significantly worse PFS, when compared with the patients with no mesenchymal CTC-WBC clusters (10.2 months vs 6.3 months, P=0.046), as well as the patients with at least one CTC per 5 ml blood (10.7 months vs 6.3 months, P=0.040). However, the presence of total CTC-WBC cluster regardless of CTC phenotypes was correlated with no significant survival difference in the cohort (10.0 months vs 8.6 months, P=0.913). Conclusions: Our data provide evidence that the emergence of mesenchymal CTC-WBC clusters before treatment is associated with significantly poorer PFS in HER2-negative metastatic breast cancer patients underwent first-line chemotherapy, which may be used as a parameter to predict the clinical outcomes for chemotherapy. This study validated the prognostic value of CTC-WBC cluster underwent mesenchymal transformation in a prospective cohort constituted by relatively homogeneous participants who were all HER2-negative metastatic breast cancer underwent docetaxel plus capecitabine as first-line chemotherapy. The results could provide evidence for mesenchymal CTC-WBC cluster to serve as a potential biomarker for individual therapy. However, limited sample size influenced the statistical power to draw firm conclusions. Thus, further large-scale external validation containing data of overall survival is warranted. Citation Format: Xiuwen Guan, Chunxiao Li, Xiaoying Sun, Lixi Li, Zongbi Yi, Binliang Liu, Jiasen Xu, Binghe Xu, Fei Ma. Prognostic potential of mesenchymal circulating tumor cell-associated white blood cell clusters in patients with HER2-negative metastatic breast cancer [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr PD10-04.
    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
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 9
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 15_suppl ( 2020-05-20), p. e14031-e14031
    Abstract: e14031 Background: The central venous catheter brings convenience for drug delivery and improves comfort for cancer patients, it also causes serious complications. The most common one is catheter-related thrombosis (CRT). This study aimed to evaluate the incidence and risk factors of CRT in cancer patients, and to develop an effective prediction model for CRT in cancer patients. Methods: The development of our prediction model was based on the data of a retrospective cohort (n = 3131) from National Cancer Center. The validation of our prediction model was done in a prospective cohort from National Cancer Center (n = 685) and a retrospective cohort from Hunan Cancer Hospital (n = 61). The predictive accuracy and the discriminative ability were determined by the receiver operating characteristic curves and calibration plots. Results: Multivariate analysis demonstrated that sex, cancer type, catheter type, position of the catheter tip, chemotherapy status, and antiplatelet/anticoagulation status at baseline were independent risk factors for CRT. The area under receiver operating characteristic (ROC) curve of our prediction model was 0.741 (CI: 0.715-0.766) in the primary cohort; 0.754 (CI: 0.704-0.803) and 0.658 (CI: 0.470-0.845) in validation cohorts respectively. Good calibration and clinical impact were also shown in primary and validation cohorts. The high-risk group had a higher incidence of CRTs than the low-risk group in the primary cohort and two validation cohort (p 〈 0.001). Conclusions: Our model is a novel prediction tool for CRT risk which helps to assigning cancer patients into high-risk or low-risk group accurately. Our model will be valuable for clinicians in decision making of thromboprophylaxis.
    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: 2020
    detail.hit.zdb_id: 2005181-5
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  • 10
    In: Future Oncology, Future Medicine Ltd, Vol. 18, No. 17 ( 2022-06), p. 2127-2139
    Abstract: Aim: To identify clinical and genetic variants associated with early-onset cardiac toxicity with a low cumulative dose of chemotherapy drugs in breast cancer. Methods: A total of 388 recruited patients completed routine blood, liver and kidney function, D-dimer, troponin T, brain natriuretic peptide (BNP) or N-terminal prohormone of BNP, ECG and echocardiography tests before and after adjuvant chemotherapy. 25 single-nucleotide polymorphisms (SNPs) were tested. Results: A total of 277 adjuvant chemotherapy-related cardiac toxicity events were recorded in 180 patients (46.4%). Anthracycline-containing chemotherapy (odds ratio: 1.848; 95% CI: 1.135–3.008; p = 0.014) and the SLC28A3 rs885004 GG genotype (odds ratio: 2.034; 95% CI: 1.189–3.479; p = 0.010) were found to be associated with overall cardiac toxicity. The final predictive risk model consisting of clinical risk factors and SNPs was better than SNP alone (p = 0.006) or clinical risk factor alone (p = 0.065). Conclusion: On the basis of clinical factors, a prediction model with genetic susceptibility factors can better predict early-onset cardiac toxicity.
    Type of Medium: Online Resource
    ISSN: 1479-6694 , 1744-8301
    Language: English
    Publisher: Future Medicine Ltd
    Publication Date: 2022
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