DCE-MRI radiomics nomogram can predict response to neoadjuvant chemotherapy in esophageal cancer

Objectives To assess volumetric DCE-MRI radiomics nomogram in predicting response to neoadjuvant chemotherapy (nCT) in EC patients. Methods This retrospective analysis of a prospective study enrolled EC patients with stage cT1N + M0 or cT2-4aN0-3M0 who received DCE-MRI within 7 days before chemotherapy, followed by surgery. Response assessment was graded from 1 to 5 according to the tumor regression grade (TRG). Patients were stratified into responders (TRG1 + 2) and non-responders (TRG3 + 4 + 5). 72 radiomics features and vascular permeability parameters were extracted from DCE-MRI. The discriminating performance was assessed with ROC. Decision curve analysis (DCA) was used for comparing three different models. Results This cohort included 82 patients, and 72 tumor radiomics features and vascular permeability parameters acquired from DCE-MRI. mRMR and LASSO were performed to choose the optimized subset of radiomics features, and 3 features were selected to create the radiomics signature that were significantly associated with response (P < 0.001). AUC of combining radiomics signature and DCE-MRI performance in the training (n = 41) and validation (n = 41) cohort was 0.84 (95% CI 0.57–1) and 0.86 (95% CI 0.74–0.97), respectively. This combined model showed the best discrimination between responders and non-responders, and showed the highest positive and positive predictive value in both training set and test set. Conclusions The radiomics features are useful for nCT response prediction in EC patients.

Identification of DNA methylation biomarkers with potential to predict response to neoadjuvant chemotherapy in triple-negative breast cancer

Neoadjuvant chemotherapy (NAC) is used to treat triple-negative breast cancer (TNBC) prior to resection. Biomarkers that accurately predict a patient’s response to NAC are needed to individualise therapy and avoid chemotoxicity from unnecessary chemotherapy. We performed whole-genome DNA methylation profiling on diagnostic TNBC biopsy samples from the Sequential Evaluation of Tumours Undergoing Preoperative (SETUP) NAC study. We found 9 significantly differentially methylated regions (DMRs) at diagnosis which were associated with response to NAC. We show that 4 of these DMRs are associated with TNBC overall survival (P < 0.05). Our results highlight the potential of DNA methylation biomarkers for predicting NAC response in TNBC.

Analysis of Adjuvant Chemotherapy on Pathological Remission of Breast Cancer

With the continuous development of the concept of diagnosis and treatment, the current industry’s treatment model has developed into a multidisciplinary comprehensive treatment. That is, in view of the pathological characteristics and clinical stages of breast cancer, corresponding methods such as surgery, chemotherapy, endocrine therapy, radiotherapy, and biological targeted therapy are adopted to provide comprehensive treatment of patients with multiple disciplines. This paper combines experimental research to research and analyze the degree of pathological remission of breast cancer by adjuvant chemotherapy and combines investigation and analysis and group trials to study and explore the effect of adjuvant chemotherapy. Moreover, this paper fully considers the patient’s response to neoadjuvant chemotherapy and compares the changes in tumor cell abundance before and after chemotherapy to observe the response of the patient’s primary tumor to chemotherapy at a microscopic level. Therefore, this study has made a relatively objective and accurate evaluation of the chemotherapy efficacy of tumor tissues, which can provide a reference for subsequent related research.