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The purpose of this study was to explore the prognostic value of imaging features and related models in nasopharyngeal carcinoma (NPC) patients that received neoadjuvant chemotherapy.We systematically reviewed the data of 110 NPC patients who received radiotherapy and neoadjuvant chemotherapy. The patients were randomly divided into the training cohort (n = 88) and the verification cohort (n = 22). The imaging data collected in this study were screened via Pyramidics and used to construct prediction models based on histology and clinical nomographs. The models' accuracy was evaluated via calibration curves and the consistency index (C-index). In addition, we also explored the correlation between radiomics expression patterns, quantitative histological characteristics, and clinical data and then constructed a model to predict the prognosis of NPC.The models that integrated radiomics contours with all the clinical data were superior to those based on the clinical data alone (C-index 0.746 vs. C-index 0.814, respectively) and the calibration curves showed good consistency. The heat map showed that the radiomics expression pattern and selected histological characteristics were correlated with the clinical stage, T stage, and N stage (p 0.05), and no radiomics feature was associated with lactate dehydrogenase expression, lymphocyte count, or mononuclear cell count.MRI-based radiomics can significantly improve the efficacy of traditional TNM staging and clinical data in predicting the progression-free survival (PFS) of patients with advanced NPC, which may provide an opportunity for precision medicine.

Breast cancer is one of the most frequently occurring malignancies in female cancers worldwide, however, its detailed mechanism of tumorigenesis remains to be elucidated. Long non-coding RNAs (LncRNAs) have previously been demonstrated to be important in multiple cancers, including breast cancer. The present study aimed to elucidate the molecular mechanism of the effects of the novel Lnc RNA HOXA11‑AS, on cell proliferation and metastasis in breast cancer. The data revealed that the relative transcript level of HOXA11‑AS was upregulated in vivo and in vitro in models of breast cancer. Knockdown of HOXA11‑AS in MDA‑MB‑231 and MDA‑MB‑436 breast cancer cell lines inhibited the formation of cell colonies and arrested the cell cycle at the G0/G1 phase. Depletion of HOXA11‑AS using two specific short interfering (si)RNAs against HOXA11‑AS (siHOXA11‑AS‑1 and siHOXA11‑AS‑2) additionally suppressed the cell proliferative rate. Furthermore, transwell assays and wound‑healing analysis revealed that siRNA transfection inhibited cell migration and invasion by ~50% in the two cell lines. The results of the present study demonstrated the oncogenic role of HOXA11‑AS in breast cancer, providing novel clues for the future clinical diagnosis and treatment of early stage breast cancer patients.