The digital transformation and innovative development of museums have led consumers to increasingly prefer purchasing museum cultural and creative products through e-commerce platforms. Although this trend shows potential for market growth, the lack of distinct cultural identity and insufficient product differentiation hinder its stable development. Therefore, this study aims to explore consumers’ perceptions on Palace Museum’s cultural and creative products using cultural hierarchy theory. Taking the Palace Museum’s Cultural and Creative Flagship Store on Tmall.com as a case study, the employed evaluation method involves constructing a lexicon of cultural features using Word2vec model and then analyzing online textual reviews to identify these features. Results reveal that among the various cultural features of the products, consumers placed the greatest emphasis on “Materials used” and the least on “Specialty craft”. With regards to the cultural features of inner “intangible” level, consumers tend to have a limited comprehension and familiarity with the cultural heritage and histories behind the products. This study provides suggestions to museum professionals to optimize the use of traditional cultural resources and develop a product development plan.

Globally, colon adenocarcinoma (COAD) is one of the most frequent types of malignant tumors. About 40~50% of patients with advanced colon adenocarcinoma die from recurrence and metastasis. Long non-coding RNAs (lncRNAs) and 5-methylcytosine (5mC) regulatory genes have been demonstrated to involve in the progression and prognosis of COAD. The goal of this study was to explore the biological characteristics and potential predictive value of 5mC-related lncRNA signature in COAD. In this research, The Cancer Genome Atlas (TCGA) was utilized to obtain the expression of genes and somatic mutations in COAD, and Pearson correlation analysis was used to select lncRNAs involved in 5mC-regulated genes. Furthermore, we applied univariate Cox regression and Lasso Cox regression to construct 5mC-related lncRNA signature. Then Kaplan–Meier survival analysis, principal components analysis (PCA), receiver operating characteristic (ROC) curve, and a nomogram were performed to estimate the prognostic effect of the risk signature. GSEA was utilized to predict downstream access of the risk signature. Finally, the immune characteristics and immunotherapeutic signatures targeting this risk signature were analyzed. In the results, we obtained 1652 5mC-related lncRNAs by Pearson correlation analysis in the TCGA database. Next, we selected a risk signature that comprised 4 5mC-related lncRNAs by univariate and Lasso Cox regression. The prognostic value of the risk signature was proven. Finally, the biological mechanism and potential immunotherapeutic response of the risk signature were identified. Collectively, we constructed the 5mC-related lncRNA risk signature, which could provide a novel prognostic prediction of COAD patients.