0241 Scenarios as a tool for decision making in case of the 70-gene signature for breast cancer patients

BACKGROUND: Cancer is a disease caused by abnormal growth of body cells that turn malignant and continue to grow uncontrollably. One of the treatments for breast cancer is mastectomy. The quickness of decision-making determines the survival rate of prognosis patients. OBJECTIVE: This study aimed to determine the relationship of self-acceptance with decision-making duration in cancer patients to perform a mastectomy. METHODS: An analytic observation method with cross-sectional design. The samples were taken by purposive sampling method with 50 samples of breast cancer patients. Data collected include age, last level of education, marital status, profession, stage of cancer during mastectomy, self-acceptance score, and decision-making duration to perform a mastectomy. RESULTS: The data analyzed with the Kruskal–Wallis test. The test showed the relationship of self-acceptance (p = 0.027) with decision-making duration in breast cancer patients to perform a mastectomy. CONCLUSION: In Conclusion, there is a relationship of self-acceptance with decision-making duration in breast cancer patients to perform a mastectomy.

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Next-generation sequencing of BRCA1/2 in breast cancer patients: potential effects on clinical decision-making using rapid, high-accuracy genetic results

Annals of Surgical Treatment and Research ◽

10.4174/astr.2017.92.5.331 ◽

2017 ◽

Vol 92 (5) ◽

pp. 331 ◽

Cited By ~ 5

Author(s):

Hyung Seok Park ◽

Seo-Jin Park ◽

Jee Ye Kim ◽

Sanghwa Kim ◽

Jaegyu Ryu ◽

...

Keyword(s):

Breast Cancer ◽

Decision Making ◽

Next Generation Sequencing ◽

Cancer Patients ◽

Clinical Decision Making ◽

Clinical Decision ◽

High Accuracy ◽

Breast Cancer Patients ◽

Generation Sequencing ◽

Genetic Results

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Evaluation of malignancy-risk gene signature in breast cancer patients

Breast Cancer Research and Treatment ◽

10.1007/s10549-009-0357-6 ◽

2009 ◽

Vol 120 (1) ◽

pp. 25-34 ◽

Cited By ~ 8

Author(s):

Dung-Tsa Chen ◽

Aejaz Nasir ◽

Chinnambally Venkataramu ◽

William Fulp ◽

Mike Gruidl ◽

...

Keyword(s):

Breast Cancer ◽

Cancer Patients ◽

Gene Signature ◽

Breast Cancer Patients ◽

Malignancy Risk ◽

Risk Gene

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Shared decision-making for breast cancer patients

Early Breast Cancer ◽

10.1201/b13937-32 ◽

2013 ◽

pp. 311-321

Author(s):

Catharine Clay ◽

Alice Andrews ◽

Dale Vidal

Keyword(s):

Breast Cancer ◽

Decision Making ◽

Cancer Patients ◽

Shared Decision Making ◽

Shared Decision ◽

Breast Cancer Patients

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Breast cancer patients' personality style, age, and treatment decision making

Journal of Surgical Oncology ◽

10.1002/(sici)1096-9098(199611)63:3<183::aid-jso9>3.0.co;2-9 ◽

1996 ◽

Vol 63 (3) ◽

pp. 183-186 ◽

Cited By ~ 33

Author(s):

Julie D. Johnson ◽

Cleora S. Roberts ◽

Charles E. Cox ◽

Douglas S. Reintgen ◽

Judi S. Levine ◽

...

Keyword(s):

Breast Cancer ◽

Decision Making ◽

Cancer Patients ◽

Treatment Decision ◽

Breast Cancer Patients ◽

Personality Style ◽

Treatment Decision Making

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Integrated immune-related gene signature to predict clinical outcome for patients with luminal B breast cancer.

Journal of Clinical Oncology ◽

10.1200/jco.2021.39.15_suppl.e12526 ◽

2021 ◽

Vol 39 (15_suppl) ◽

pp. e12526-e12526

Author(s):

Xiaying Kuang ◽

Du Cai ◽

Ying Lin ◽

Feng Gao

Keyword(s):

Breast Cancer ◽

Cancer Patients ◽

Validation Cohort ◽

Risk Groups ◽

Gene Signature ◽

Breast Cancer Patients ◽

Training Cohort ◽

Luminal B ◽

Immune Related Gene ◽

Immune Related Genes

e12526 Background: Luminal B breast cancer is always routinely treated with chemotherapy and endocrine therapy but heterogeneous with respect to sensitivity to treatment, identification of patients who may most benefit remains a matter of controversy. Immune-related genes (IRGs) was found to be associated with the prognosis of breast cancer. The aim of this study is to evaluate the impact of IRGs in predicting the outcome of luminal B breast cancer patients. Methods: According to the Metabric microarray dataset also as a training cohort, 488 luminal B breast cancer patients were selected for generation of immune-related gene signature (IRGS). Another independent dataset (n=250) of patients with complete prognostic information was analyzed as a validation cohort. Prognostic analysis was assessed to test the predictive value of IRGS. Results: A model of prognostic IRGS containing 12 immune-related genes was developed. In both training and validation cohorts, IRGS significantly stratified luminal B breast cancer patients into immune low- and high-risk groups in terms of disease free survival (DFS, HR=4.95, 95% CI=3.22-7.62, P<0.001 in training cohort, HR=2.47, 95% CI=1.29-4.75, P<0.001 in validation cohort). Multivariate analysis revealed IRGS as an independent prognostic factor (HR=4.96, 95% CI=3.00-8.18, P<0.001 in training cohort, HR=2.56, 95% CI=1.28-5.09, P=0.007 in validation cohort). Furthermore, those 12 genes mostly related with response to chemical, and the expression levels of them were completely opposite in patients of immune low- and high-risk groups. Conclusions: The proposed IRGS is a satisfactory prognostic model for estimating DFS of luminal B breast cancer patients. Further studies are needed to assess the clinical effectiveness of this system in predicting prognosis and treatment options for luminal B breast cancer patients. This work was supported by National Natural Science Foundation of China (No. 81602520), Natural Science Foundation of Guangdong Province (No. 2017A030313596).

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Biopsychosocial and clinical characteristics in patients with resected breast and colon cancer at the beginning and end of adjuvant treatment

BMC Cancer ◽

10.1186/s12885-019-6358-x ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 2

Author(s):

Teresa García-García ◽

Alberto Carmona-Bayonas ◽

Paula Jimenez-Fonseca ◽

Carlos Jara ◽

Carmen Beato ◽

...

Keyword(s):

Breast Cancer ◽

Quality Of Life ◽

Decision Making ◽

Colon Cancer ◽

Cancer Patients ◽

Adjuvant Treatment ◽

Perceived Social Support ◽

Shared Decision ◽

Breast Cancer Patients

Abstract Background The aim of this study was to analyze biopsychosocial factors affecting how patients cope with cancer and adjuvant treatment and to appraise psychological distress, coping, perceived social support, quality of life and SDM before and after adjuvant treatment in breast cancer patients compared to colon cancer patients. Methods NEOcoping is a national, multicenter, cross-sectional, prospective study. The sample comprised 266 patients with colon cancer and 231 with breast cancer. The instruments used were the Brief Symptom Inventory (BSI), Mini-Mental Adjustment to Cancer (Mini-MAC), Multidimensional Scale of Perceived Social Support (MSPSS), Shared Decision-Making Questionnaire-Patient (SDM-Q-9) and Physician’s (SDM-Q-Doc), and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC-QLQ). Results Breast cancer patients reacted worse to the diagnosis of cancer with more symptoms of anxiety, depression, and somatization, and were less satisfied with their involvement than those with colon cancer (p = 0.003). Participants with colon cancer were older and had more physical symptoms and functional limitations at the beginning of adjuvant treatment, while there were scarcely any differences between the two groups at the end of adjuvancy, at which time both groups suffered greater psychological and physical effects and scored lower on coping strategies, except for anxious preoccupation. Conclusions Breast cancer patients need more information and involvement of the oncologist in shared decision-making, as well as and more medical and psychological support when beginning adjuvant treatment. Both breast and colon cancer patients may require additional psychological care at the end of adjuvancy.

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