Lactylation-related gene signature for prognostic prediction and immune infiltration analysis in breast cancer.

Background: Lactylation is implicated in various aspects of tumor biology, but its relation to breast cancer remains poorly understood. This study aimed to explore the roles of the lactylation-related genes in breast cancer and its association with the tumor microenvironment. Methods: The expression and mutation patterns of lactylation-related genes were analyzed using the breast cancer data from The Cancer Genome Atlas (TCGA) database and GSE20685 datasets. Unsupervised clustering was used to identify two lactylation clusters. A lactylation-related gene signature was developed and validated using the training and validation cohorts. Immune cell infiltration and drug response were assessed. Results: We analyzed the mRNA expression, copy number variations, somatic mutations, and correlation networks of 22 lactylation-related genes in breast cancer tissues. We identified two distinct lactylation clusters with different survival outcomes and immune microenvironments. We further classified the patients into two gene subtypes based on lactylation clusters and identified a 7-gene signature for breast cancer survival prognosis. The prognostic score based on this signature demonstrated prognostic value and predicted the therapeutic response. Conclusion: Lactylation-related genes play a critical role in breast cancer by influencing tumor growth, immune microenvironment, and drug response. This lactylation-related gene signature may serve as a prognostic marker and a potential therapeutic target for breast cancer.

MGP+ and IDO1+ tumor-associated macrophages facilitate immunoresistance in breast cancer revealed by single-cell RNA sequencing.

Immunotherapy is widely applied for the treatment of breast cancer, but to which some patients respond poorly or develop resistance. Therefore, the mechanism needs to be further studied. Transcriptomic data of 31 breast cancer patients treated with anti-programmed death receptor 1 (PD-1) was downloaded from the VIB-KULeuven Center for Cancer Biology to analyze the changes in myeloid cells in tumor tissues before and after immunotherapy. And 24 cell populations that may be immune-related were further identified. Representative cell populations were also screened and validated through cellular and animal experiments to evaluate the relevant molecular expression and pathways of tumor-associated macrophages (TAMs) in the tumor microenvironment. The results demonstrated that MGP+ TAMs and IDO1+ TAMs influenced the efficacy of immunotherapy in breast cancer patients. After anti-PD-1 treatment, Increased numbers of MGP+ TAMs and IDO1+ TAMs in breast cancer patients upregulated pro-tumorigenic factors associated with resistance to immunosuppressive therapy. This study provides new biomarkers for immunotherapy to predict therapeutic responses and overcome potential resistance to immunotherapy. It is an important complement to the immunosuppression caused by TAMs after immunotherapy for breast cancer.

Identification of periductal mastitis and granulomatous lobular mastitis: a literature review.

Background and Objective: Non-puerperal mastitis (NPM) is a breast disease with poor clinical manifestations, which seriously affects women's health and quality of life. Due to the low incidence rate of the disease and the paucity of related research, there is much misdiagnosis and mis-management of periductal mastitis (PDM) and granulomatous lobular mastitis (GLM). Therefore, understanding the differences between PDM and GLM, in terms of etiology and clinical manifestations, is crucial for patient treatment and prognosis. At the same time, choosing different treatment methods may not achieve the best treatment effect, so the appropriate treatment method can often reduce the patient's pain and reduce the recurrence of the patient's disease. Methods: The PubMed database was searched for articles published from 1 January 1990 to 16 June 2022 using the following search terms: "non-puerperal mastitis", "periductal mastitis", "granulomatous lobular mastitis", "mammary duct ectasia", "idiopathic granulomatous mastitis", "plasma cell mastitis", and "identification". The key findings of the related literatures were analyzed and summarized. Key Content and Findings: We systematically described the key points in the differential diagnosis, treatment, and prognosis of PDM and GLM. The use of different animal models for research and novel drugs to treat the disease were also described in this paper. Conclusions: The key points in the differentiation of the two diseases are clearly explained, and the respective treatment options and prognosis are summarized.

Willingness to receive COVID-19 vaccination and adverse effects after vaccination in breast cancer survivors during the COVID-19 pandemic: a cross-sectional retrospective study of a Chinese population.

Background: Breast cancer (BC) patients have a higher mortality rate after COVID-19 infection, but data on vaccination of BC patients and attitude towards COVID-19 vaccination and safety after vaccination are lacking. We wanted to understand the willingness and factors of BC survivors to receive a COVID-19 vaccine, and their adverse reactions. The purpose is to judge the safety of vaccination, and find strategies to promote vaccination in BC patients. Methods: Offline and online questionnaire surveys were provided in outpatient clinics and on an online follow-up platform, respectively, to collect information. Factors influencing vaccination willingness were analyzed by univariate and multivariate logistic regression. All statistical tests were performed bilaterally, and a P value <0.05 was considered statistically significant. Patients who have been vaccinated need to fill in questions about the impact on quality of life after vaccination, the type and frequency of vaccination, and side effects. Results: A total of 497 valid questionnaires were collected; 289 (58.1%) BC survivors were vaccinated with a COVID-19 vaccine, and 379 (76.26%) BC survivors had a fully or basically accepting attitude toward vaccination. Survivors over 70 years of age, educated only to high school level, and those receiving chemotherapy had significantly lower levels of acceptance of COVID-19 vaccines. Multivariate logistic regression analyses suggested that treatment status and cognitive attitude were independent factors influencing COVID-19 vaccination among BC survivors. The main reason for being vaccinated was "doctor recommendation" (57.26%). Unwillingness to receive a COVID-19 vaccine was mainly due to "the unknown safety of the vaccine in cancer patients" (67.80%). A total of 97.56% of the survivors believed that vaccination had no or almost no effect on their quality of life. Among the BC survivors, 18 (6.23%) had adverse reactions after vaccination. All adverse reactions were grade 1 or 2, and no adverse reactions of grade 3 or above were reported. The adverse reactions reported by 15 survivors (83.33%) markedly improved within 1 week. Conclusions: In terms of cognitive attitudes toward COVID-19 vaccines, elderly individuals and those with a lower education level were less receptive to vaccination. Therefore, attention to elderly survivors can help improve the vaccination rate.