PCN4 RETROSPECTIVE COHORT STUDY OF TAMOXIFEN TREATED BREAST CANCER PATIENTS ASSOCIATED WITH RISK OF ENDOMETRIAL CANCER

Abstract Background: The health burden of breast cancer is rising in China. The effect of informed diagnosis on long-term survival has not been fully understood. This retrospective cohort study aims at exploring the association between early informed diagnosis and survival time in breast cancer patients.Methods: 12,327 breast cancer patients were enrolled between October 2002 and December 2016. Potential factors including knowing cancer diagnosis status, gender, age, clinical-stage, surgical history, the grade of reporting hospital and diagnostic year were registered. We followed up all participants every 6 months until June 2017.Results: By June 2017, 18.04% of the participants died of breast cancer. Both the 3-year and 5-year survival rate of whom knew cancer diagnosis were longer (P<0.001). By stratified analysis, except subgroups of male patients and patients in stage III, patients knowing diagnosis showed a better prognosis in all the other subgroups (P<0.05). By Cox regression analysis, it was showed that not knowing cancer diagnosis was an independent risk factor for survival in breast cancer patients (P<0.001).Conclusions: Being aware of their cancer diagnosis plays a protective role in extending the survival time in breast cancer patients, which suggests medical staff and patients’ families disclose cancer diagnosis to patients timely.

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FOLLOW-UP OF PATIENTS AND PROGNOSTIC IMPACT OF TUMOUR MARKER CA 15-3 ON PATIENTS OF BREAST CANCER: A RETROSPECTIVE COHORT STUDY

International Journal of Advanced Research ◽

10.21474/ijar01/12052 ◽

2020 ◽

Vol 8 (11) ◽

pp. 656-660

Author(s):

Anjali Vinocha ◽

Keyword(s):

Breast Cancer ◽

Cohort Study ◽

Cancer Patients ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Relative Survival ◽

Rank Test ◽

Prognostic Impact ◽

Breast Cancer Patients

Introduction:Breast cancer is the most common cancer in women, with 5- and 10-year relative survival rates are 91% and 84%, respectively for women with invasive breast cancer. This study aimed to detect the role of serum breast cancer marker CA 15-3 for early detection of metastasis, relapse or recurrence for management of breast cancer patients. Methods: It was a retrospective cohort study with a total of 132 breast cancer patients from the year 2010 to march 2020 were taken and followed up. For these patients demographic, biochemical parameters, radiological and clico-pathological data were collected and analysed. Result: The mean age at the time of presentation and mean duration of follow-up was 47 years and 31 months respectively. There was elevation in the serum level of CA 15-3 at the time of diagnosis of metastasis, recurrence or residual disease in 41 patients. This shows that sensitivity of elevated CA 15-3 (> 30 IU/ml) level in Ca Breast patients was 84%, 75 % and 75 % with respect to metastasis, recurrence and relapse. Log Rank test Chi- square value was 7.39 which was statistically significant (p=0.007). Cox proportional hazard model was created for effect of age at presentation, CA 15-3 at the time of diagnosis and MRM on distant metastasis and was statistically significant (p=0.037). Conclusion: We recommend that for the management of breast cancer patients, Cancer antigen (CA 15-3) levels can be used as prognostic marker for early diagnosis of metastasis, recurrence or relapse.

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Endometrial Cancer in Tamoxifen-Treated Breast Cancer Patients: Findings From the National Surgical Adjuvant Breast and Bowel Project (NSABP) B-14

JNCI Journal of the National Cancer Institute ◽

10.1093/jnci/86.13.1025 ◽

1994 ◽

Vol 86 (13) ◽

pp. 1025-1025 ◽

Cited By ~ 1

Author(s):

R. R. LOVE

Keyword(s):

Breast Cancer ◽

Endometrial Cancer ◽

Cancer Patients ◽

Breast Cancer Patients ◽

National Surgical Adjuvant Breast ◽

Bowel Project ◽

Treated Breast ◽

Treated Breast Cancer

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Commentary on endometrial cancer deaths in tamoxifen-treated breast cancer patients.

Journal of Clinical Oncology ◽

10.1200/jco.1996.14.3.1027 ◽

1996 ◽

Vol 14 (3) ◽

pp. 1027-1039 ◽

Cited By ~ 18

Author(s):

B Fisher

Keyword(s):

Breast Cancer ◽

Endometrial Cancer ◽

Cancer Patients ◽

Breast Cancer Patients ◽

Treated Breast ◽

Treated Breast Cancer

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Endometrial Cancer in Tamoxifen-Treated Breast Cancer Patients: Findings From the National Surgical Adjuvant Breast and Bowel Project (NSABP) B-14 *

JNCI Journal of the National Cancer Institute ◽

10.1093/jnci/86.7.527 ◽

1994 ◽

Vol 86 (7) ◽

pp. 527-537 ◽

Cited By ~ 876

Author(s):

Bernard Fisher ◽

Joseph P. Costantino ◽

Carol K. Redmond ◽

Edwin R. Fisher ◽

D. Lawrence Wickerham ◽

...

Keyword(s):

Breast Cancer ◽

Endometrial Cancer ◽

Cancer Patients ◽

Breast Cancer Patients ◽

National Surgical Adjuvant Breast ◽

Bowel Project ◽

Treated Breast ◽

Treated Breast Cancer

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Prescription refill, patient self-report and physician report in assessing adherence to oral endocrine therapy in early breast cancer patients: a retrospective cohort study in Catalonia, Spain

British Journal of Cancer ◽

10.1038/bjc.2012.389 ◽

2012 ◽

Vol 107 (8) ◽

pp. 1249-1256 ◽

Cited By ~ 38

Author(s):

R Font ◽

J A Espinas ◽

M Gil-Gil ◽

A Barnadas ◽

B Ojeda ◽

...

Keyword(s):

Breast Cancer ◽

Cohort Study ◽

Cancer Patients ◽

Endocrine Therapy ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Self Report ◽

Breast Cancer Patients ◽

Prescription Refill ◽

Physician Report

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A Comparison between Cure Model and Recursive Partitioning: A Retrospective Cohort Study of Iranian Female with Breast Cancer

Computational and Mathematical Methods in Medicine ◽

10.1155/2016/9425629 ◽

2016 ◽

Vol 2016 ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Mozhgan Safe ◽

Javad Faradmal ◽

Hossein Mahjub

Keyword(s):

Breast Cancer ◽

Cohort Study ◽

Cancer Patients ◽

Simulation Study ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Recursive Partitioning ◽

Breast Cancer Patients ◽

Cure Model ◽

Model Based

Background. Breast cancer which is the most common cause of women cancer death has an increasing incidence and mortality rates in Iran. A proper modeling would correctly detect the factors’ effect on breast cancer, which may be the basis of health care planning. Therefore, this study aimed to practically develop two recently introduced statistical models in order to compare them as the survival prediction tools for breast cancer patients.Materials and Methods. For this retrospective cohort study, the 18-year follow-up information of 539 breast cancer patients was analyzed by “Parametric Mixture Cure Model” and “Model-Based Recursive Partitioning.” Furthermore, a simulation study was carried out to compare the performance of mentioned models for different situations.Results. “Model-Based Recursive Partitioning” was able to present a better description of dataset and provided a fine separation of individuals with different risk levels. Additionally the results of simulation study confirmed the superiority of this recursive partitioning for nonlinear model structures.Conclusion. “Model-Based Recursive Partitioning” seems to be a potential instrument for processing complex mixture cure models. Therefore, applying this model is recommended for long-term survival patients.

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