scholarly journals Methylation patterns in cell-free plasma DNA reflect removal of the primary tumor and drug treatment of breast cancer patients

2010 ◽  
Vol 128 (2) ◽  
pp. 492-499 ◽  
Author(s):  
Thomas E. Liggett ◽  
Anatoliy A. Melnikov ◽  
Jeffrey R. Marks ◽  
Victor V. Levenson
Keyword(s):  
Breast Cancer ◽  
Drug Treatment ◽  
Cancer Patients ◽  
Primary Tumor ◽  
Breast Cancer Patients ◽  
Plasma Dna ◽  
Methylation Patterns ◽  
Free Plasma

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.

scholarly journals Association between the nucleosome footprint of plasma DNA and neoadjuvant chemotherapy response for breast cancer

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Xu Yang ◽  
Geng-Xi Cai ◽  
Bo-Wei Han ◽  
Zhi-Wei Guo ◽  
Ying-Song Wu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Cell Receptor ◽  
Chemotherapy Response ◽  
Breast Cancer Patients ◽  
Plasma Dna ◽  
Transcription Start Sites ◽  
Response To Chemotherapy

AbstractGene expression signatures have been used to predict the outcome of chemotherapy for breast cancer. The nucleosome footprint of cell-free DNA (cfDNA) carries gene expression information of the original tissues and thus may be used to predict the response to chemotherapy. Here we carried out the nucleosome positioning on cfDNA from 85 breast cancer patients and 85 healthy individuals and two cancer cell lines T-47D and MDA-MB-231 using low-coverage whole-genome sequencing (LCWGS) method. The patients showed distinct nucleosome footprints at Transcription Start Sites (TSSs) compared with normal donors. In order to identify the footprints of cfDNA corresponding with the responses to neoadjuvant chemotherapy in patients, we mapped on nucleosome positions on cfDNA of patients with different responses: responders (pretreatment, n = 28; post-1 cycle, post-3/4 cycles, and post-8 cycles of treatment, n = 12) and nonresponders (pretreatment, n = 10; post-1 cycle, post-3/4 cycles, and post-8 cycles of treatment, n = 10). The coverage depth near TSSs in plasma cfDNA differed significantly between responders and nonresponders at pretreatment, and also after neoadjuvant chemotherapy treatment cycles. We identified 232 TSSs with differential footprints at pretreatment and 321 after treatment and found enrichment in Gene Ontology terms such as cell growth inhibition, tumor suppressor, necrotic cell death, acute inflammatory response, T cell receptor signaling pathway, and positive regulation of vascular endothelial growth factor production. These results suggest that cfDNA nucleosome footprints may be used to predict the efficacy of neoadjuvant chemotherapy for breast cancer patients and thus may provide help in decision making for individual patients.

scholarly journals Surgery for primary tumor benefits survival for breast cancer patients with bone metastases: a large cohort retrospective study

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhangheng Huang ◽  
Xin Zhou ◽  
Yuexin Tong ◽  
Lujian Zhu ◽  
Ruhan Zhao ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Bone Metastases ◽  
Cancer Patients ◽  
Primary Tumor ◽  
Predictive Accuracy ◽  
Rank Test ◽  
Breast Cancer Patients ◽  
Risk Of Death ◽  
The Impact

Abstract Background The role of surgery for the primary tumor in breast cancer patients with bone metastases (BM) remains unclear. The purpose of this study was to determine the impact of surgery for the primary tumor in breast cancer patients with BM and to develop prognostic nomograms to predict the overall survival (OS) of breast cancer patients with BM. Methods A total of 3956 breast cancer patients with BM from the Surveillance, Epidemiology, and End Results database between 2010 and 2016 were included. Propensity score matching (PSM) was used to eliminate the bias between the surgery and non-surgery groups. The Kaplan-Meier analysis and the log-rank test were performed to compare the OS between two groups. Cox proportional risk regression models were used to identify independent prognostic factors. Two nomograms were constructed for predicting the OS of patients in the surgery and non-surgery groups, respectively. In addition, calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to evaluate the performance of nomograms. Result The survival analysis showed that the surgery of the primary tumor significantly improved the OS for breast cancer patients with BM. Based on independent prognostic factors, separate nomograms were constructed for the surgery and non-surgery groups. The calibration and ROC curves of these nomograms indicated that both two models have high predictive accuracy, with the area under the curve values ≥0.700 on both the training and validation cohorts. Moreover, DCA showed that nomograms have strong clinical utility. Based on the results of the X-tile analysis, all patients were classified in the low-risk-of-death subgroup had a better prognosis. Conclusion The surgery of the primary tumor may provide survival benefits for breast cancer patients with BM. Furthermore, these prognostic nomograms we constructed may be used as a tool to accurately assess the long-term prognosis of patients and help clinicians to develop individualized treatment strategies.

scholarly journals Survival impact of primary tumor resection in de novo metastatic breast cancer patients (GEICAM/El Alamo Registry)

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Sara Lopez-Tarruella ◽  
M. J. Escudero ◽  
Marina Pollan ◽  
Miguel Martín ◽  
Carlos Jara ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Cancer Patients ◽  
Primary Tumor ◽  
Cox Regression ◽  
De Novo ◽  
Histological Grade ◽  
Tumor Resection ◽  
Metastatic Breast ◽  
Breast Cancer Patients

AbstractThe debate about surgical resection of primary tumor (PT) in de novo metastatic breast cancer (MBC) patients persists. We explored this approach’s outcomes in patients included in a retrospective registry, named El Álamo, of breast cancer patients diagnosed in Spain (1990–2001). In this analysis we only included de novo MBC patients, 1415 of whom met the study’s criteria. Descriptive, Kaplan-Meier and Cox regression analyses were carried out. Median age was 63.1 years, 49.2% of patients had single-organ metastasis (skin/soft tissue [16.3%], bone [33.8%], or viscera [48.3%]). PT surgery (S) was performed in 44.5% of the cases. S-group patients were younger, had smaller tumors, higher prevalence of bone and oligometastatic disease, and lower prevalence of visceral involvement. With a median follow-up of 23.3 months, overall survival (OS) was 39.6 versus 22.4 months (HR = 0.59, p < 0.0001) in the S- and non-S groups, respectively. The S-group OS benefit remained statistically and clinically significant regardless of metastatic location, histological type, histological grade, hormone receptor status and tumor size. PT surgery (versus no surgery) was associated with an OS benefit suggesting that loco-regional PT control may be considered in selected MBC patients. Data from randomized controlled trials are of utmost importance to confirm these results.

Clinical Significance of Subtype Classification in Metastatic Lymph Nodes of Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy

2015 ◽  
Vol 30 (2) ◽  
pp. 174-183 ◽  
Author(s):  
Noriko Nemoto ◽  
Yukiko Shibahara ◽  
Hiroshi Tada ◽  
Keiko Uchida ◽  
Keely M. McNamara ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Clinical Outcomes ◽  
Primary Tumor ◽  
Breast Cancer Patients ◽  
Ki 67 ◽  
Metastatic Lymph Nodes ◽  
Metastatic Lymph

Background Neoadjuvant chemotherapy has been increasingly utilized in the treatment of breast cancer patients. However, there are no established surrogate markers predicting the response to subsequent adjuvant therapy and clinical outcome of patients. In particular, whether primary or lymph nodes metastasis should be evaluated for these analyses has remained unknown. Therefore, in this study, we first evaluated the differences in biomarkers between primary and metastatic cancer tissues in the patients undergoing neoadjuvant chemotherapy. We then correlated the findings with the clinical outcomes of these patients. Methods We examined 49 patients receiving neoadjuvant chemotherapy and subsequent surgery with lymph node metastasis. Estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2) and Ki-67 were all immunohistochemically evaluated in core needle biopsy samples from primary and metastatic tumors following chemotherapy. Results No statistically significant differences in these markers were detected between the primary tumor and metastatic lymph nodes following therapy, but the Ki-67 labeling index was significantly higher in metastatic lymph nodes than in primary tumor (p = 0.017). The patients associated with luminal A type carcinoma in their lymph nodes following chemotherapy demonstrated significantly better clinical outcomes (disease-free survival: p = 0.0045, overall survival: p = 0.0006) than those who were not. Conclusion These data indicate that subtype classification following chemotherapy, in the metastatic lymph nodes rather than primary tumor could predict long-term outcomes of patients undergoing neoadjuvant chemotherapy.

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