Long-term survival and prognostic implications of patients with invasive breast cancer in southern Taiwan

Wu, Shih-Chung; Chiang, Ming-Chu; Lee, Yun-Gang; Wang, Mei-Wen; Li, Chuan-Fang; Tung, Tao‐Hsin; Chen, Hsiao-Hui

doi:10.1097/md.0000000000019122

Cited by 4 publications

(3 citation statements)

References 18 publications

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“…9 A meta-analysis including 24 survival studies from Iran also reported the mean age of the patients at 48.27 (CI = 43.68-52.86) years, 10 which indicates an increasing trend in breast cancer diagnosis age. In most Iranian studies, like other Asian countries, breast cancer's median age is under 50 years, [11][12][13][14][15][16] which is different from the median age of the Western countries that are mostly above 50. 4,17 Our findings indicated that the five-year survival rate was 76% ( ± 0.023) for patients < 40 years and 84% ( ± 0.009) for patients ≥ 40 years.…”

Section: Discussionmentioning

confidence: 99%

Long-term Survival and Prognostic Factors of Breast Cancer

et al. 2022

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Background: Breast cancer survival rate is an important index for assessment of treatment effect in reducing the mortality. Weaimed to determine the fifteen-year survival rate for breast cancer at a referral center in Iran and its correlated factors. Methods: This survival study enrolled patients with breast cancer who referred to Motamed Cancer Institute (MCI) from 1998 to2016. The survival rate was calculated using the Kaplan-Meier method. The relationship of demographic, clinical and therapeuticfactors with overall survival (OS) was studied using Cox’s proportional hazard model. Results: Totally, 3443 patients were studied. Their mean age and follow-up period were 47.7 (±11.43) years and 61.66 (±52.1)months, respectively. The median follow-up time was 48.4 months (range: 1-413 months), 49.7% of the patients had high schoolor higher education, and 71.3% presented in the early stage of the disease. Death occurred in 505 (14.7%) of the patients. Theoverall 2-, 5-, 7-, 10- and 15-year survival rates were 93%, 82%, 78%, 74%, and 66%, respectively. Lymph node involvement(HR=2.07; 95% CI: 1.38–3.09), tumor size≥5 cm (HR=2.83; 95% CI: 1.59–2.04), being single/divorced/widowed (HR=1.65;95% CI: 1.13–2.4), and education level<high school diploma (HR=1.57; 95% CI: 1.13–2.17) were independent predictors ofbreast cancer survival. Conclusion: The five-year breast cancer survival rate in this study was higher than reported by some other studies in Iran, whichcould be due to the multidisciplinary treatment approach in MCI. Tumor size and lymph node involvement as indicators ofdelayed diagnosis may affect breast cancer survival, even though their true effect due to lead-time bias should be considered. Thecorrelation of education level with survival confirms the importance of awareness and the need to establish strategies for earlydiagnosis in Iranian women.

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Section: Discussionmentioning

confidence: 99%

Long-term Survival and Prognostic Factors of Breast Cancer

et al. 2022

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“…In effect, tumor differentiation is an independent prognostic factor in many malignant neoplasms, such as lung cancer, breast cancer, and esophageal cancer. [28][29][30] Even in some tumors, tumor differentiation…”

Section: Discussionmentioning

confidence: 99%

A Practical Nomogram for Predicting the Prognosis of Elderly Patients with Gastric Adenocarcinoma After Gastrectomy

Yang¹,

Ji²,

Jin³

et al. 2022

IJGM

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To establish a pragmatic prognostic nomogram for predicting the survival of elderly patients undergoing gastrectomy for gastric adenocarcinoma. Patients and Methods: Data of elderly patients undergoing gastrectomy for gastric adenocarcinoma between 2004 and 2015 were obtained from the Surveillance, Epidemiology, and End Results database. Prognostic factors were identified by the Kaplan-Meier method and the Cox proportional hazards model. Based on these factors, we developed a nomogram to predict the overall survival (OS) and gastric cancer-specific survival (GCSS). Concordance index (Cindex) and calibration curve are employed to assess the predictive accuracy of the model. Decision curve analysis (DCA) and receiver operating characteristic curve (ROC) analysis are applied to further appraise the clinical utility of the model. Results: A total of 8401 cases were incorporated into this research. After univariate and multivariate analyses, nine prognostic factors of OS were identified, including age (P < 0.001), race (P < 0.001), marital status (P < 0.001), tumor site (P < 0.001), tumor size (P = 0.024), differentiation (P < 0.001), T stage (P < 0.001), N stage (P < 0.001), and M stage (P < 0.001); ten prognostic factors of GCSS were identified, including age (P < 0.001), race (P < 0.001), tumor site (P < 0.001), tumor size (P = 0.002), differentiation (P < 0.001), T stage (P < 0.001), N stage (P < 0.001), M stage (P < 0.001), radiotherapy (P < 0.001) and chemotherapy (P < 0.001). The C-index of the constructed nomogram for OS was 0.708 (95% CI: 0.701-0.715) while for GCSS was 0.745 (95% CI: 0.737-0.753). The calibration curves of the nomogram predictions and actual observations displayed good agreement for the 3-and 5-year OS and GCSS probabilities. The results of DCA and the area under the curve calculated by ROC analysis showed that the developed model was superior than TNM stage. Conclusion:The nomogram we established could accurately predict the prognosis of individual elderly patients who underwent gastrectomy for gastric adenocarcinoma.

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“…Patient survival was determined by analyzing factors such as primary tumor size, characteristics of surrounding structures, number and location of regional lymph nodes, presence/absence of an extracapsular extension, and presence/absence of distant metastasis [19]. The detailed information is shown in a previous publication [20]. Approximately 99% of the patients (4272 patients) were excluded due to being female breast cancer or having carcinoma in situ.…”

Section: Study Patientsmentioning

confidence: 99%

Long-term survival of male patients with invasive breast cancer in Southern Taiwan

2024

JOMH

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This study aimed to assess the survival rates of male patients diagnosed with invasive breast cancer. A comprehensive review of medical records of 28 male breast cancer patients in Southern Taiwan from 2006 to 2017 was conducted, and Kaplan-Meier analysis was computed to estimate survival probabilities. Among the 28 patients, 22 (78.6%) were diagnosed with left-sided breast cancer, while 6 (21.4%) had right-sided breast cancer. Within the subgroup of 22 patients with left-sided breast cancer, 5 individuals succumbed to the disease during the ten-year observation period. Further analysis revealed that the estimated survival rates at both the 5-year and 10-year intervals were 57.1%, and the median survival duration was 87.7 months, with a 95% confidence interval spanning from 69.5 to 105.8 months. Univariate Cox regression analysis identified stage (p = 0.034), pathological N (p = 0.0001), and distant metastasis (p = 0.007) as significant variables associated with patient survival, but none of these were independent variables on multivariate Cox regression analysis. Taken together, despite the relatively limited sample size of this study, which reflects the rarity of male breast cancer cases, our findings underscore the critical importance of early diagnosis and timely treatment in preventing disease recurrence and improving overall survival rates in male breast cancer patients.

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Long-term survival and prognostic implications of patients with invasive breast cancer in southern Taiwan

Cited by 4 publications

References 18 publications

Long-term Survival and Prognostic Factors of Breast Cancer

Long-term Survival and Prognostic Factors of Breast Cancer

A Practical Nomogram for Predicting the Prognosis of Elderly Patients with Gastric Adenocarcinoma After Gastrectomy

Long-term survival of male patients with invasive breast cancer in Southern Taiwan

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