Pleiotrophin serum level and metastasis occurrence in breast cancer patients.

BACKGROUND: Breast cancer (BC) cases in Makassar, Indonesia, are on the rise, with 2723 cases recorded in 2018. Tumor cells in the blood indicate metastasis, emphasizing the need for early diagnosis and monitoring. Pleiotrophin (PTN) is associated with various human malignancies, and recent studies suggest a correlation between PTN expression and advanced BC stages; therefore, PTN could serve as an independent predictor of metastasis. This study aimed to determine the correlation between serum PTN level, histopathological grading, and metastasis occurrence in BC patients in Makassar, Indonesia. METHODS: This study used an observational cross-sectional design. Pleiotrophin serum levels were examined using enzyme-linked immunosorbent assays. This study used a t-test and ROC curve analysis for the statistical tests. RESULTS: Of the 64 samples used in this study, metastasis was present in 26 cases and absent in 38 samples. The mean PTN serum levels in metastatic and non-metastatic breast cancer patients were 4.311 and 1.253, respectively. The PTN receiver operating characteristic curve showed an area under the curve of 2.47 ng/dL, which was statistically significant (p < 0.001). A significant relationship was found between PTN level and metastasis (p < 0.001). The correlation coefficient was 0.791, indicating a positive correlation. CONCLUSION: This study revealed that the serum PTN level among breast cancer patients had a cut-off value of 2.47 ng/dL. The research established a clear correlation between PTN level and metastasis occurrence in breast cancer patients, indicating a higher likelihood of distant metastasis with elevated PTN concentration.

Evaluation of breast cancer metastasis and mortality rates based on molecular subtype: A description study.

BACKGROUND: Breast cancer in Indonesia has continued to increase. One diagnostic modality is immunohistochemical examination to determine breast cancer subtypes. OBJECTIVE: To determine breast cancer metastasis and mortality rates based on molecular subtypes. METHODS: A descriptive study was conducted based on retrospective data from hospital medical records from January 2016 to December 2019. The data comprised age, clinical stage, histopathological grade, molecular subtype, location, metastasis, and breast cancer mortality. The data were processed and analyzed. RESULTS: This study involved 172 patients. The most prevalent breast cancer subtypes were luminal A (60, 34.8%), followed by HER2 (47, 27.4%), triple-negative (38, 22.4%), and luminal B (27, 15.4%). The metastasis rate was 37.21% (64/172), with bone the tissue most affected (32 cases, 50%), followed by lung (24 cases, 37.5%) and liver (8 cases, 12.5%). The highest rates of bone, lung, and liver metastases were subtypes luminal A (31%), HER2 (29%), and triple-negative (38%), respectively. The mortality rate was 21% (36/172), with most in the triple-negative group (28.9%), followed by luminal B (25.9%), HER2 (21.2%), and luminal A (13.3%). CONCLUSIONS: Determination of breast cancer molecular subtypes through immunohistochemistry can determine the level of metastasis and mortality in breast cancer.