Treatment and Outcomes of Women With Large Locally Advanced Breast Cancer

A prognostic model based on CLEC6A predicts clinical outcome of breast cancer patients

CLEC6A, (C-type lectin domain family 6, member A), plays a prominent role in regulating innate immunity and adaptive immunity. CLEC6A has shown great potential as a target for cancer immunotherapy. This study aims to explore the prognostic value of CLEC6A, and analyze the relationship associated with the common hematological parameters in breast cancer patients. We performed a retrospective analysis on 183 breast cancer patients data in hospital information system from January 2013 to December 2015. The expression of CLEC6A was recorded via semiquantitative immunohistochemistry in breast cancer. The association between expression of CLEC6A and relative parameters were performed by Chi-square test and Fisher's exact test. Kaplan-Meier assay and Log-rank test were performed to evaluate the survival time. The Cox proportional hazards regression analysis was applied to identify prognostic factors. Nomograms were conducted to predict 1-, 3-, and 5-year disease free survival (DFS) and overall survival (OS) for breast cancer, which could be a good reference in clinical practice. The nomogram model was estimated by calibration curve analysis for its function of discrimination. The accuracy and benefit of the nomogram model were appraised by comparing it to only CLEC6A via decision curve analysis (DCA). The prediction accuracy of CLEC6A was also determined by time-dependent receiver operating characteristics (TDROC) curves, and the area under the curve (AUC) for different survival time. There were 94 cases in the CLEC6A low-expression group and 89 cases in CLEC6A high-expression group. Compared to CLEC6A low-expression group, the CLEC6A high-expression group had better survival (DFS: 56.95 vs. 70.81 months, P = 0.0078 and OS: 67.98 vs. 79.05 months, P = 0.0089). The CLEC6A was a potential prognostic factor in multivariate analysis (DFS: P = 0.023, hazard ratio (HR): 0.454, 95 % confidence interval (CI): 0.229-0.898; OS: P = 0.020, HR: 0.504, 95 %CI: 0.284-0.897). The nomogram in accordance with these potential prognostic factors was constructed to predict survival and the calibration curve analysis had indicated that the predicted line was well-matched with reference line in 1-, 3-, and 5-year DFS and OS category. The 1-, 3-, and 5-year DCA curves have revealed that nomogram model yielded larger net benefits than CLEC6A alone. Finally, the TDROC curve indicated that CLEC6A could better predict 1-year DFS and OS than others. Furthermore, we combined these potential independent prognostic factors to analyze the relationship among these hematologic index and oxidative stress indicators, and indicated that higher CLEC6A level, higher CO2 level or low CHOL level or high HDL-CHO level would have survived longer and better prognosis. In breast cancer, high expression of CLEC6A can independently predict better survival. Our nomogram consisted of CLEC6A and other indicators has good predictive performance and can facilitate clinical decision-making.

PDL1-Based Nomogram May Be of Potential Clinical Utility for Predicting Survival Outcome in Stage III Breast Cancer

Purpose

Programmed cell death ligand 1 (PDL1) has the predictive and prognostic value in a great deal of cancers. This study aims to explore the expression of PDL1 in stage III breast cancer (BC) and its correlation with clinical outcome.

Methods

The protein expression of PDL1 in tumor tissues was determined by immunohistochemistry (IHC). The correlations between PDL1 and clinicopathological variables were performed by χ²-tests or Fisher's exact tests. The Cox proportional hazards model was used for univariate and multivariate analysis of the potential prognostic factors. Survival curves were estimated based on Kaplan-Meier analyses, and Log Rank test was used to contrast factors influencing the survival outcome.

Results

On the basis of the semiquantitative scoring method for PDL1 expression, the patients were divided into low PDL1 expression group (109 cases) and high PDL1 expression group (107 cases). PDL1 expression was correlated with positive lymph nodes, positive axillary lymph nodes, postoperative radiotherapy, and CK5/6 expression (P < 0.05). The PDL1 expression in tumor tissues was discovered to be a potential prognostic risk factor with the disease-free survival (DFS) and overall survival (OS) for stage III BC. Moreover, patients with high PDL1 expression showed longer lifetime (DFS and OS) compared to those with low PDL1 expression in total patient population (P < 0.05). Moreover, the nomogram showed that the prediction line is in good agreement with the reference line for postoperative 1-, 3-, and 5-year lifetime. The DCA curve showed that the 3- and 5-year lifetime by nomogram had so much better divination of the clinical application than only by PDL1.

Conclusion

PDL1 is a latent prognostic factor in stage III BC and is closely related to some clinicopathological features. PDL1 expression in tumor tissues is significantly associated with better lifetime rate in stage III BC.

Locally advanced breast cancer arising in the axilla

Locally advanced breast cancer arising from ectopic axillary breast tissue is an unusual presentation of this malignancy. The work-up and treatment approach pose some unique challenges. We present the case of a 37-year-old female presenting with a left axillary lesion with skin involvement. Radiological studies and biopsy demonstrated an underlying axillary mass compatible with a triple-positive invasive ductal carcinoma of the breast. Following neoadjuvant therapy, the patient underwent nipple-sparing mastectomy with wide local excision of the involved axillary skin and axillary lymph node dissection. Ectopic locally advanced breast cancer can be treated similarly to its orthotopic counterpart, favoring a neoadjuvant therapy approach followed by surgical excision. Special considerations include the local anatomy of the tumor, the extent of surgery and reconstructive options.