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Breast cancer is a highly heterogeneous disease with varied subtypes, prognoses and therapeutic responsiveness. Human leukocyte antigen class I (HLA-I) shapes the immunity and thereby influences the outcome of breast cancer. However, the implications of HLA-I variations in breast cancer remain poorly understood. In this study, we established a multiomics cohort of 1156 Chinese breast cancer patients for HLA-I investigation. We calculated four important HLA-I indicators in each individual, including HLA-I expression level, somatic HLA-I loss of heterozygosity (LOH), HLA-I evolutionary divergence (HED) and peptide-binding promiscuity (Pr). Then, we evaluated their distribution and prognostic significance in breast cancer subtypes. We found that the four breast cancer subtypes had distinct features of HLA-I indicators. Increased expression of HLA-I and LOH were enriched in triple-negative breast cancer (TNBC), while Pr was relatively higher in hot tumors within TNBCs. In particular, a higher Pr indicated a better prognosis in TNBCs by regulating the infiltration of immune cells and the expression of immune molecules. Using the matched genomic and transcriptomic data, we found that mismatch repair deficiency-related mutational signature and pathways were enriched in low- Pr TNBCs, suggesting that targeting mismatch repair deficiency for synthetic lethality might be promising therapy for these patients. In conclusion, we presented an overview of HLA-I indicators in breast cancer and provided hints for precision treatment for low- Pr TNBCs. [ABSTRACT FROM AUTHOR]

Background: With the largest sample size to date, the authors' objective was to investigate the incidence of primary‐to‐metastatic human epidermal growth factor 2 (HER2) conversion and the predictors for such conversion. Moreover, no previous studies have evaluated the prognosis of patients who have negative HER2 expression (HER2‐0) versus low HER2 expression (HER2‐low) when HER2 status was assessed based on all recurrent/metastatic lesions. Methods: The authors included 1299 patients who had available HER2 status of primary breast tumors and paired recurrent/metastatic lesions at Fudan University Shanghai Cancer Center and West China Hospital. Results: In total, 370 patients (28.5%) experienced primary‐to‐metastatic HER2 conversion. Intrapatient intermetastasis spatial heterogeneity and temporal heterogeneity of HER2 were detected. When assessing HER2 based on recurrent/metastatic tumors, patients who had HER2‐0 tumors had significantly shorter overall survival than those who had HER2‐low tumors in the overall population and in the estrogen receptor (ER)‐negative subgroup. However, when assessing HER2 based on primary tumors, there was no difference in overall survival between patients who had HER2‐0 versus HER2‐low tumors. Moreover, patients who had tumors that converted from HER2‐0 to HER2‐low had longer overall survival than those who had consistent HER2‐0 status in the ER‐negative subgroup. By combining four predictors (ER status, Ki67 index, biopsy site, and disease‐free interval), the authors established the first prediction tool to estimate the probability of HER2‐0 tumors converting to HER2‐low/positive tumors. Conclusions: Intrapatient primary‐to‐metastatic and intermetastatic HER2 heterogeneity were observed in this large‐scale cohort study. When evaluating HER2 based on recurrent/metastatic tumors, an overall survival difference was observed between patients who had HER2‐0 versus HER2‐low, recurrent/metastatic breast tumors. The developed prediction tool might help clinicians screen out patients with primary HER2‐0 tumors that have a high probability of HER2 status conversion and recommend them for re‐biopsy, thus helping to screen out candidate patients for trastuzumab deruxtecan treatment. Intrapatient primary‐to‐metastatic and intermetastatic HER2 heterogeneity was observed in this large‐scale cohort study. The prediction tool developed by the authors might help clinicians screen out patients with primary HER2‐negative tumors who have a high probability of HER2 status conversion and recommend them for re‐biopsy, thus helping to screen out candidate patients for trastuzumab deruxtecan treatment. [ABSTRACT FROM AUTHOR]

The purpose of this study was to prepare endostatin-loaded chitosan nanoparticles (ES-NPs) and evaluate their antitumor effect when combined with paclitaxel (PTX) on Lewis lung carcinoma (LLC) mouse xenografts. ES-NPs were prepared by ionic cross-linking. Characterization of the ES-NPs included size distribution, drug-loading efficiency (DL), and encapsulation efficiency (EE). An in vitro release test was also used to determine the release behavior of the ES-NPs. A subcutaneous LC xenograft model of C57BL/6J mice was established. The mice were randomly divided into six groups: control (0.9% NaCl), ES, PTX, ES-NPs, ES + PTX, and ES-NPs + PTX. The tumor volume was dynamically measured for the duration of the experiment. Immunohistochemistry was performed to determine the Ki-67 and microvascular density (MVD) in each group. Serum vascular endothelial growth factor (VEGF) and ES levels were determined by enzyme-linked immunosorbent assay (ELISA). ES-NPs were successfully synthesized and had suitable size distribution and high EE. The NPs were homogenously spherical and exhibited an ideal release profile in vitro. In vivo, tumor growth was significantly inhibited in the ES-NPs + PTX group. The tumor inhibitory rate was significantly higher in the ES-NPs + PTX group than in the other groups (p

The purpose of this study was to prepare ES-loaded chitosan nanoparticles (ES-NPs) and evaluate the antitumor effect of these particles on the Lewis lung cancer model. ES-NPs were prepared by a simple ionic cross-linking method. The characterization of the ES-NPs, including size distribution, zeta potential, loading efficiency and encapsulation efficiency (EE), was performed. An in vitro release test was also used to determine the release behavior of the ES-NPs. Cell viability and cell migration were assayed to detect the in vitro antiangiogenic effect of ES-NPs. In order to clarify the antitumor effect of ES-NPs in vivo, the Lewis lung cancer model was used. ES-NPs were successfully synthesized and shown to have a suitable size distribution and high EE. The nanoparticles were spherical and homogeneous in shape and exhibited an ideal releasing profile in vitro. Moreover, ES-NPs significantly inhibited the proliferation and migration of human umbilical vascular endothelial cells (HUVECs). The in vivo antiangiogenic activity was evaluated by ELISA and immunohistochemistry analyses, which revealed that ES-NPs had a stronger antiangiogenic effect for reinforced anticancer activity. Indeed, even the treatment cycle in which ES-NPs were injected every seven days, showed stronger antitumor effect than the free ES injected for 14 consecutive days. Our study confirmed that the CS nanoparticle is a feasible carrier for endostatin to be used in the treatment of lung cancer.

Gefitinib (GEF) is the first epidermal growth factor receptor (EGFR)-targeting agent launched as an anticancer drug. It is an accepted opinion that modifying GEF strong hydrophobicity and poor bioavailability would not only enhance its antitumor effects, but also reduce its side effects. In this study, GEF-loadedpoly(ε-caprolactone)-poly(ethyleneglycol)-poly(ε-caprolactone) (PCEC) -bearing nanoparticles (GEF-NPs) were prepared by a solid dispersion method and characterized. The particle sizes increased with the increase in GEF/PCEC mass ratio in feed. GEF-NPs (10%) were mono-dispersed, smaller than 24 nm, zeta potential was approximately −18 mV, percentage encapsulation and loading, were more than 9% and 92%, respectively, and drug was slowly released but without a biphasic pattern. Microscopy studies of the optimized formulation confirmed that the prepared nanoparticles are spherical in nature. Cytotoxicity results indicated that cell growth inhibition induced by free GEF and GEF-NPs were dose and time dependent. Compared with free GEF, GEF-NPs enhanced antitumor effects, reduced side effects and significantly prolonged survival time in vivo. CD31, ki-67 and EGFR expression were significantly lower in the GEF-NPs group compared with other groups (p

Background Tumor-infiltrating lymphocytes (TILs) and programmed cell death 1 ligand 1 (PD-L1) remain imperfect in predicting clinical outcomes of triple-negative breast cancer because outcomes do not always correlate with the expression of these biomarkers. Genomic and transcriptomic alterations that may contribute to the expression of these biomarkers remain incompletely uncovered. Methods We evaluated PD-L1 immunohistochemistry scores (SP142 and 28-8 assays) and TILs in our triple-negative breast cancer multiomics dataset and 2 immunotherapy clinical trial cohorts. Then, we analyzed genomic and transcriptomic alterations correlated with TILs, PD-L1 expression, and patient outcomes. Results Despite TILs serving as a decent predictor for triple-negative breast cancer clinical outcomes, exceptions remained. Our study revealed that several genomic alterations were correlated with unexpected events. In particular, PD-L1 expression may cause a paradoxical relationship between TILs and prognosis in certain patients. Consequently, we classified triple-negative breast cancers into 4 groups based on PD-L1 and TIL levels. The TIL-negative PD-L1–positive and TIL-positive PD-L1–negative groups were not typical "hot" tumors; both were associated with worse prognoses and lower immunotherapy efficacy than TIL-positive PD-L1–positive tumors. Copy number variation of PD-L1 and oncogenic signaling activation were correlated with PD-L1 expression in the TIL-negative PD-L1–positive group, whereas GSK3B-induced degradation may cause undetectable PD-L1 expression in the TIL-positive PD-L1–negative group. These factors have the potential to affect the predictive function of both PD-L1 and TILs. Conclusions Several genomic and transcriptomic alterations may cause paradoxical effects among TILs, PD-L1 expression, and prognosis in triple-negative breast cancer. Investigating and targeting these factors will advance precision immunotherapy for patients with this disease. [ABSTRACT FROM AUTHOR]