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Digestive system cancers are prevalent diseases with a high mortality rate, posing a significant threat to public health and economic burden. The diagnosis and treatment of digestive system cancer confront conventional cancer problems, such as tumor heterogeneity and drug resistance. Single-cell sequencing (SCS) emerged at times required and has developed from single-cell RNA-seq (scRNA-seq) to the single-cell multi-omics era represented by single-cell spatial transcriptomics (ST). This article comprehensively reviews the advances of single-cell omics technology in the study of digestive system tumors. While analyzing and summarizing the research cases, vital details on the sequencing platform, sample information, sampling method, and key findings are provided. Meanwhile, we summarize the commonly used SCS platforms and their features, as well as the advantages of multi-omics technologies in combination. Finally, the development trends and prospects of the application of single-cell multi-omics technology in digestive system cancer research are prospected.

Abstract Elizabethkingia anophelis 12012‐2 PRCM was isolated from a patient with multiple organ dysfunction syndrome and lower respiratory tract infection in China. Minimum inhibitory concentration (MIC) analysis demonstrated that it was resistant to 20 antibiotics including trimethoprim/sulfamethoxazole and ciprofloxacin, which were effective for the elimination of other Elizabethkingia infections. To investigate multidrug resistance and pathogenicity mechanisms, we analyzed genome features of 12012‐2 PRCM and compared them to the other Elizabethkingia species. The draft genome size was 4.02 Mb with a GC content of 32%, comparable to that of other E. anophelis strains. Phylogenetic analysis showed that E. anophelis 12012‐2 PRCM formed a sister group with E. anophelis 502, distinct from clades formed by other clinical and environmental E. anophelis isolates. E. anophelis 12012‐2 PRCM contained multiple copies of β‐lactamase genes as well as genes predicted to function in antimicrobial efflux. It also contained 92 genes that were potentially involved in virulence, disease, and defense, and were associated with resistance and pathogenicity. Comparative genomic analysis showed high homology among three clinical and two environmental E. anophelis strains having a variety of similar antibiotic resistance and virulence factor genes, and similar genomic structure. Applications of this analysis will contribute to understanding the antibiotic resistance and pathogenic mechanisms of E. anophelis infections, which will assist in the management of infections as it increases in prevalence.