Deep learning application in prediction of cancer molecular alterations based on pathological images: a bibliographic analysis via CiteSpace.

Background: The advancements in artificial intelligence (AI) technology for image recognition were propelling molecular pathology research into a new era.

Objective: To summarize the hot spots and research trends in the field of molecular pathology image recognition.

Methods: Relevant articles from January 1st, 2010, to August 25th, 2023, were retrieved from the Web of Science Core Collection.

Escherichia coli on colorectal cancer: A two-edged sword.

Escherichia coli (E. coli) is a ubiquitous symbiotic bacterium in the gut, and the diversity of E. coli genes determines the diversity of its functions.

Gut microbial subtypes and clinicopathological value for colorectal cancer.

Background: Gut bacteria are related to colorectal cancer (CRC) and its clinicopathologic characteristics.

Objective: To develop gut bacterial subtypes and explore potential microbial targets for CRC.

Methods: Stool samples from 914 volunteers (376 CRCs, 363 advanced adenomas, and 175 normal controls) were included for 16S rRNA sequencing.

Advances in bacteria-based drug delivery systems for anti-tumor therapy.

In recent years, bacteria have gained considerable attention as a promising drug carrier that is critical in improving the effectiveness and reducing the side effects of anti-tumor drugs. Drug carriers can be utilised in various forms, including magnetotactic bacteria, bacterial biohybrids, minicells, bacterial ghosts and bacterial spores. Additionally, functionalised and engineered bacteria obtained through gene engineering and surface modification could provide enhanced capabilities for drug delivery.

Action of m6A-related gene signatures on the prognosis and immune microenvironment of colonic adenocarcinoma.

N6-methyladenosine (m6A) modification in human tumor cells exerts considerable influence on crucial processes like tumorigenesis, invasion, metastasis, and immune response. This study aims to comprehensively analyze the impact of m6A-related genes on the prognosis and immune microenvironment (IME) of colonic adenocarcinoma (COAD). Public data sources, predictive algorithms identified m6A-related genes and differential gene expression in COAD.

Third-generation PacBio sequencing to explore gut bacteria and gender in colorectal cancer.

Background: Gut bacteria have an important influence on colorectal cancer (CRC). The differences of gut bacteria between genders have been the hot spots.

Objective: To analyze the relationship between gut bacteria and gender differences in patients with CRC.

Age and aging process alter the gut microbes.

Background: Gut microbes and age are both factors that influence the development of disease. The community structure of gut microbes is affected by age.

Objective: To plot time-dependent gut microbe profiles in individuals over 45 years old and explore the correlation between age and gut microbes.

Aging Gut Microbiome in Healthy and Unhealthy Aging.

The characteristics of human aging manifest in tissue and organ function decline, heightening susceptibility to age-related ailments, thereby presenting novel challenges to fostering and sustaining healthy longevity. In recent years, an abundance of research on human aging has surfaced. Intriguingly, evidence suggests a pervasive correlation among gut microbiota, bodily functions, and chronic diseases.

Transcriptional profile and immune infiltration in colorectal cancer reveal the significance of inducible T-cell costimulator as a crucial immune checkpoint molecule.

Background: Emergence of novel immuno-therapeutics has shown promising improvement in the clinical outcome of colorectal cancer (CRC).

Objective: To identify robust immune checkpoints based on expression and immune infiltration profiles of clinical CRC samples.

Methods: One dataset from The Cancer Genome Atlas database and two from Gene Expression Omnibus were independently employed for the analysis.

Identification of enterotype and its predictive value for patients with colorectal cancer.

Background: Gut microbiota dysbiosis involved in the pathogenesis of colorectal cancer (CRC). The characteristics of enterotypes in CRC development have not been determined.

Objective: To characterize the gut microbiota of healthy, adenoma, and CRC subjects based on enterotype.

Classification of Colorectal Cancer Subtypes Based on Endoplasmic Reticulum Stress.

Introduction: Endoplasmic reticulum stress (ERS) is associated with the occurrence and development of colorectal cancer (CRC).

Methods: One thousand nine CRC samples and 3 ERS gene sets from GEO database were used to screen and validate genes related to stage and prognosis of CRC. Twenty thousand five hundred thirty samples from the TCGA database validated the ERS genes related to prognosis.

Correlation of gut microbiota with leukopenia after chemotherapy in patients with colorectal cancer.

Background: The most common toxic side effect after chemotherapy, one of the main treatments for colorectal cancer (CRC), is myelosuppression.

Objective: To analyze the correlation between gut microbiota and leukopenia after chemotherapy in CRC patients.

Methods: Stool samples were collected from 56 healthy individuals and 55 CRC patients.

Identification of Molecular Targets of Bile Acids Acting on Colorectal Cancer and Their Correlation with Immunity.

Background: Bile acids (BAs) are closely related to the occurrence and development of colorectal cancer (CRC), but the specific mechanism is still unclear.

Aims: To identify potential targets related to BAs in CRC and analyze the correlation with immunity.

Methods: The expression of BAs and CRC-related genes in TCGA was studied and screened using KEGG.

Advances in immunotyping of colorectal cancer.

Immunotherapy has transformed treatment for various types of malignancy. However, the benefit of immunotherapy is limited to a minority of patients with mismatch-repair-deficient (dMMR) and microsatellite instability-high (MSI-H) (dMMR-MSI-H) colorectal cancer (CRC). Understanding the complexity and heterogeneity of the tumor immune microenvironment (TIME) and identifying immune-related CRC subtypes will improve antitumor immunotherapy.

Application and progress of highcontent imaging in molecular biology.

Humans have adopted many different methods to explore matter imaging, among which high content imaging (HCI) could conduct automated imaging analysis of cells while maintaining its structural and functional integrity. Meanwhile, as one of the most important research tools for diagnosing human diseases, HCI is widely used in the frontier of medical research, and its future application has attracted researchers' great interests. Here, the meaning of HCI was briefly explained, the history of optical imaging and the birth of HCI were described, and the experimental methods of HCI were described.

Single-cell transcriptome analysis reveals T population heterogeneity and functions in tumor microenvironment of colorectal cancer metastases.

Cell mediated immune escape, a microenvironment factor, induces tumorigenesis and metastasis. The purpose of this study was to display the characteristics of T cell populations in immune microenvironments for colorectal cancer (CRC) metastasis. Unsupervised cluster analysis was conducted to identify functionally distinct T cell clusters from 3,003 cells in peripheral blood and 4,656 cells in tissues.

Gut microbes involvement in gastrointestinal cancers through redox regulation.

Gastrointestinal (GI) cancers are among the most common and lethal cancers worldwide. GI microbes play an important role in the occurrence and development of GI cancers. The common mechanisms by which GI microbes may lead to the occurrence and development of cancer include the instability of the microbial internal environment, secretion of cancer-related metabolites, and destabilization of the GI mucosal barrier.

Gut bacteria and sex differences in colorectal cancer.

Differences in gut bacteria that are associated with the occurrence and development of colorectal cancer (CRC) exist between sexes, and males have a higher morbidity of CRC. Clinical data for the relationship between gut bacteria and sexes in patients with CRC are not available and are needed to support individualized screening and treatment programmes. To analyse the relationship between gut bacteria and sexes in patients with CRC.

Prediction model of poorly differentiated colorectal cancer (CRC) based on gut bacteria.

Background: The mortality of colorectal cancer is high, the malignant degree of poorly differentiated colorectal cancer is high, and the prognosis is poor.

Objective: To screen the characteristic intestinal microbiota of poorly differentiated intestinal cancer.

Methods: Fecal samples were collected from 124 patients with moderately differentiated CRC and 123 patients with poorly differentiated CRC, and the bacterial 16S rRNA V1-V4 region of the fecal samples was sequenced.