The Effect of Gender on the Intestinal Flora of Colorectal Cancer Under Different Stages.

This study aims to determine whether gender is a factor in the interplay between the human intestinal flora and colorectal cancer (CRC), ultimately providing new evidence for the clinical prediction and management of CRC in different genders. In this study, we included 186 untreated CRC patients, and classified them into two groups based on pathological staging: Groups Ⅰ-Ⅱ and Groups Ⅲ-Ⅳ, with male and female groups within each group. We collected preoperative fecal samples from these patients and performed 16S rRNA gene sequencing to analyze their intestinal flora.

Association analysis of gut microbiota with LDL-C metabolism and microbial pathogenicity in colorectal cancer patients.

Background: Colorectal cancer (CRC) is the most common gastrointestinal malignancy worldwide, with obesity-induced lipid metabolism disorders playing a crucial role in its progression. A complex connection exists between gut microbiota and the development of intestinal tumors through the microbiota metabolite pathway. Metabolic disorders frequently alter the gut microbiome, impairing immune and cellular functions and hastening cancer progression.

Identification of KRAS mutation-associated gut microbiota in colorectal cancer and construction of predictive machine learning model.

Gut microbiota has demonstrated an increasingly important role in the onset and development of colorectal cancer (CRC). Nonetheless, the association between gut microbiota and KRAS mutation in CRC remains enigmatic. We conducted 16S rRNA sequencing on stool samples from 94 CRC patients and employed the linear discriminant analysis effect size algorithm to identify distinct gut microbiota between KRAS mutant and KRAS wild-type CRC patients.

Analysis of differences in intestinal flora associated with different BMI status in colorectal cancer patients.

Background: Overweight is known to be an important risk factor for colorectal cancer (CRC), and the differences in intestinal flora among CRC patients with different BMI status have not been clearly defined. The purpose of this study was to elucidate the differences in the abundance, composition and biological function of intestinal flora in CRC patients with different BMI status.

Method: A total of 170 CRC patients were included and grouped according to the BMI data of CRC patients.

Identification of colorectal cancer progression-associated intestinal microbiome and predictive signature construction.

Objective: The relationship between intestinal microbiome and colorectal cancer (CRC) progression is unclear. This study aims to identify the intestinal microbiome associated with CRC progression and construct predictive labels to support the accurate assessment and treatment of CRC.

Method: The 192 patients included in the study were divided into stage I-II and stage III-IV CRC patients according to the pathological stages, and preoperative stools were collected from both groups for 16S rDNA sequencing of the intestinal microbiota.

Identification of intestinal microbiome associated with lymph-vascular invasion in colorectal cancer patients and predictive label construction.

Objective: To identify differences between the composition, abundance, and biological function of the intestinal microbiome of patients with and without lymph-vascular invasion (LVI) colorectal cancer (CRC) and to construct predictive labels to support accurate assessment of LVI in CRC.

Method: 134 CRC patients were included, which were divided into two groups according to the presence or absence of LVI, and their intestinal microbiomes were sequenced by 16SrRNA and analyzed for differences. The transcriptome sequencing data of 9 CRC patients were transformed into immune cells abundance matrix by CIBERSORT algorithm, and the correlation among LVI-associated differential intestinal microbiomes, immune cells, immune-related genes and LVI-associated differential GO items and KEGG pathways were analyzed.

Comprehensive multi-omics analysis of the m7G in pan-cancer from the perspective of predictive, preventive, and personalized medicine.

Background: The N7-methylguanosine modification (m7G) of the 5' cap structure in the mRNA plays a crucial role in gene expression. However, the relation between m7G and tumor immune remains unclear. Hence, we intended to perform a pan-cancer analysis of m7G which can help explore the underlying mechanism and contribute to predictive, preventive, and personalized medicine (PPPM / 3PM).

Mining genes involved in the stratification of Paris polyphylla seeds using high-throughput embryo transcriptome sequencing.

Background: Paris polyphylla var. yunnanensis is an important medicinal plant. Seed dormancy is one of the main factors restricting artificial cultivation.