Nodal staging in breast cancer is a key predictor of prognosis. This paper presents the results of potential clinicopathological predictors of axillary lymph node involvement and develops an efficient prediction model to assist in predicting axillary lymph node metastases. Seventy patients with primary early breast cancer who underwent axillary dissection were evaluated. Univariate and multivariate logistic regression were performed to evaluate the association between clinicopathological factors and lymph node metastatic status. A logistic regression predictive model was built from 50 randomly selected patients; the model was also applied to the remaining 20 patients to assess its validity. Univariate analysis showed a significant relationship between lymph node involvement and absence of nm-23 (p = 0.010) and Kiss-1 (p = 0.001) expression. Absence of Kiss-1 remained significantly associated with positive axillary node status in the multivariate analysis (p = 0.018). Seven clinicopathological factors were involved in the multivariate logistic regression model: menopausal status, tumor size, ER, PR, HER2, nm-23 and Kiss-1. The model was accurate and discriminating, with an area under the receiver operating characteristic curve of 0.702 when applied to the validation group. Moreover, there is a need discover more specific candidate proteins and molecular biology tools to select more variables which should improve predictive accuracy.

The intrinsic regulation of programmed death ligand-1 (PD-L1) expression remains unclear. Here, we report that zinc-finger protein 652 (ZNF652) is a potent transcription repressor of PD-L1. ZNF652 frequently experiences loss of heterozygosity (LOH) in various cancers. Higher LOH rate and lack of estrogen-inducible transcription lead to suppressed expression of ZNF652 in triple-negative breast cancer (TNBC). Mechanistically, ZNF652 is physically associated with the NuRD transcription co-repressor complex to repress a cohort of genes, including PD-L1. Overexpression of ZNF652 inhibits PD-L1 transcription, whereas depletion of ZNF652 upregulates PD-L1. Loss of ZNF652 in TNBC unleashes PD-L1-mediated immune evasion both in vitro and in vivo. Significantly, ZNF652 expression is progressively lost during breast cancer progression, and a low ZNF652 level is correlated with elevated PD-L1 expression, less infiltrated CD8⁺ T cells, and poor prognosis in TNBC. Our study provides insights into PD-L1 regulation and supports the pursuit of ZNF652 as a potential biomarker and drug target for breast cancer immunotherapy.

Estimating quality of life (QoL) in patients with breast cancer is of importance in assessing treatment outcomes. Adjuvant endocrine therapy is widely used for hormone receptor-positive (HR+) early-stage breast cancer (EBC), and evidence suggests that aromatase inhibitors (AIs) may improve QoL for these patients. This study evaluated QoL in postmenopausal Chinese patients with HR+ EBC taking AIs. This was a prospective, multicenter, and observational study that had no intent to intervene in the current treatment of recruited patients. Eligible patients were recruited within 7 days of beginning adjuvant treatment with AIs. The Functional Assessment of Cancer Therapy-Breast (FACT-B) scale was used to evaluate the patients’ QoL. Data were collected at baseline and at 6, 12, 18, and 24 months. From June 2010 to October 2013, a total of 494 patients with HR+ EBC were recruited from 21 centers. There was a 7.51-point increase in the patients’ mean FACT-B trial outcome index (TOI), from 90.69 at baseline to 98.72 at 24 months (P < .0001). The mean TOI scores at baseline, 6, 12, and 18 months were 90.69, 94.36, 97.71, and 96.75, respectively (P < .0001, for all). The mean (FACT-B) emotional well-being subscale scores at baseline, 6, 12, 18, and 24 months were 16.32, 16.55, 17.34 (P < .0001), 17.47 (P < .0001), and 17.85 (P < .0001), respectively, and social well-being scores were 18.61, 19.14 (P < .04), 19.35 (P < .008), 18.32, and 18.40, respectively. In the mixed model, baseline TOI, clinical visits, prior chemotherapies, age group, and axillary lymph-node dissection presented statistically significant effects on the change of FACT-B TOI and FACT-B SWB, whereas only baseline TOI, clinical visits, and prior chemotherapies presented statistically significant effects on the change of FACT-B EWB. FACT-B TOI, being the most pertinent and precise indicator of patient-reported QoL, demonstrated significant changes reflecting clinical benefit of adjuvant AIs endocrine therapy in the QoL of HR + EBC patients. The study demonstrated significant improvements in the long-term QoL of postmenopausal Chinese patients with HR+ EBC at 6, 12, 18, and 24 months after starting treatment with AIs. The current study indicates improved long-term QoL with AI adjuvant treatment, which will aid clinicians in optimizing treatment to yield effective healthcare outcomes. Clinicaltrials.gov NCT01144572