The field of onco-microbiome is rapidly expanding. Multiple studies have shown the crucial role of gut microbiota in the regulation of nutrient metabolism, immunomodulation and protection against pathogens. Tools for manipulating the gut microbiota include dietary modification and faecal microbiota transfer. Accumulating evidence has also documented the application of specific intestinal microbiome in cancer immunotherapy, notably in enhancing the efficacy of immune checkpoint inhibitors. The aim of this review is to focus on the East Asian microbiome and to provide a current overview of microbiome science and its clinical application in cancer biology and immunotherapy.
Humans ; Gastrointestinal Microbiome ; Neoplasms/microbiology* ; Immunotherapy/methods* ; Asia, Eastern ; Medical Oncology ; Fecal Microbiota Transplantation ; Immune Checkpoint Inhibitors/therapeutic use* ; East Asian People

OBJECTIVE: To observe the effects of thumbtack-needle embedding therapy of auricular acupuncture on gastrointestinal function and intestinal microflora in the patients with gastric cancer after operation, and to explore its mechanism. METHODS: A total of 80 patients with gastric cancer after radical operation were randomly divided into an observation group (40 cases, 3 cases discontinued) and a control group (40 cases, 3 cases discontinued). The patients of both groups received the perioperative care for accelerating recovery. Additionally, in the observation group, the thumbtack-needle embedding therapy of auricular acupuncture was delivered at the auricular points of unilateral side, including Wei (CO₄), Pi (CO₁₃), Dachang (CO₇), Xiaochang (CO₆), Yuanzhong (AT_2,3,4i), Erzhong (HX₁), Sanjiao (CO₁₇) and Jiaowozhong (TF₃), and the needles were embedded and retained for 72 h. The postoperative recovery time of gastrointestinal function (the postoperative bowel sound recovery time, the first exhaust time, the first defecation time), the postoperative hospital stay and pain visual analogue scale (VAS) score were observed in the two groups. Before operation and on day 5 after operation, the serum gastrin level was detected in the two groups. The third-generation 16S rRNA sequencing technology was used to detect the composition and relative abundance of intestinal flora in the two groups before and after operation. RESULTS: Compared with the control group, the postoperative bowel sound recovery time, the first exhaust time and the first defecation time were shortened in the observation group (P<0.05). In the observation group, the VAS scores at 24 h, 48 h, and 72 h after surgery were lower than those of the control group, respectively (P<0.05). There was no significant differences in postoperative hospital stay and serum gastrin level between the two groups (P>0.05). The alpha diversity analysis showed that the differences in Shannon index, Simpson index, Pielou_J index and Pd_fath index were not significant statistically after intervention between the two groups (P>0.05). After intervention, the community structure of the fecal sample was similar at each taxonomic level between the two groups, and although the proportion between species was various, the difference was not significant (P>0.05). After intervention, there were 55 species with the differences between the two groups, 17 species of them presented significant difference in relative abundance in the observation group and 38 species in the control group. Regarding the level of genus, the levels of Klebsiell and Enterobacter increased (P<0.05) and the level of Streptococcus decreased (P<0.05) in the observation group. The main microbial groups that played an important role were Coprobacillaceae, Sutterellaceae and Yersiniaceae in the observation group. KEGG function prediction indicated that the function of intestinal microflora was mainly associated with the cofactor and vitamin metabolism, carbohydrate metabolism, and amino acid metabolism. CONCLUSION The thumbtack-needle embedding therapy of auricular acupuncture improves the postoperative gastrointestinal function of the patients with gastric cancer probably through regulating the structure and relative abundance of intestinal microflora and affecting the energy metabolism.
Humans ; Male ; Female ; Middle Aged ; Acupuncture, Ear/instrumentation* ; Gastrointestinal Microbiome ; Aged ; Stomach Neoplasms/therapy* ; Adult ; Acupuncture Points ; Gastrointestinal Tract/microbiology* ; Intestines/physiopathology* ; Postoperative Period ; Acupuncture Therapy

Microbial-derived metabolites are important mediators of host-microbial interactions. In recent years, the role of intestinal microbial metabolites in colorectal cancer has attracted considerable attention. These metabolites, which can be derived from bacterial metabolism of dietary substrates, modification of host molecules such as bile acids, or directly from bacteria, strongly influence the progression of colitis-associated cancer (CAC) by regulating inflammation and immune response. Here, we review how microbiome metabolites short-chain fatty acids (SCFAs), secondary bile acids, polyamines, microbial tryptophan metabolites, and polyphenols are involved in the tumorigenesis and development of CAC through inflammation and immunity. Given the heated debate on the metabolites of microbiota in maintaining gut homeostasis, serving as tumor molecular markers, and affecting the efficacy of immune checkpoint inhibitors in recent years, strategies for the prevention and treatment of CAC by targeting intestinal microbial metabolites are also discussed in this review.
Humans ; Gastrointestinal Microbiome/physiology* ; Animals ; Carcinogenesis/metabolism* ; Colitis-Associated Neoplasms/microbiology* ; Fatty Acids, Volatile/metabolism* ; Bile Acids and Salts/metabolism* ; Colitis/microbiology*

Colorectal cancer (CRC) is one of the leading causes of cancer-related morbidity and mortality worldwide, highlighting the urgent need for novel preventive and therapeutic strategies. Emerging research highlights the crucial role of the gut microbiota, including bacteria, fungi, viruses, and their metabolites, in the pathogenesis of CRC. Dysbiosis, characterized by an imbalance in microbial composition, contributes to tumorigenesis through immune modulation, metabolic reprogramming, and genotoxicity. Specific bacterial species, such as Fusobacterium nucleatum and enterotoxigenic Bacteroides fragilis , along with fungal agents like Candida species, have been implicated in CRC progression. Moreover, viral factors, including Epstein-Barr virus and human cytomegalovirus, are increasingly recognized for their roles in promoting inflammation and immune evasion. This review synthesizes the latest evidence on host-microbiome interactions in CRC, emphasizing microbial metabolites, such as short-chain fatty acids and bile acids, which may act as both risk factors and therapeutic agents. We further discuss the latest advances in microbiota-targeted clinical applications, including biomarker-assisted diagnosis, next-generation probiotics, and microbiome-based interventions. A deeper understanding of the role of gut microbiome in CRC pathogenesis could pave the way for diagnostic, preventive, and personalized therapeutic strategies.
Humans ; Dysbiosis/microbiology* ; Colorectal Neoplasms/metabolism* ; Gastrointestinal Microbiome/physiology* ; Animals

Hepatocellular carcinoma(HCC), the third leading cause of cancer-related death worldwide, is characterized by high mortality and recurrence rates. Common treatments include hepatectomy, liver transplantation, ablation therapy, interventional therapy, radiotherapy, systemic therapy, and traditional Chinese medicine(TCM). While exhibiting specific advantages, these approaches are associated with varying degrees of adverse effects. To alleviate patients' suffering and burdens, it is crucial to explore additional treatments and elucidate the pathogenesis of HCC, laying a foundation for the development of new TCM-based drugs. With emerging research on gut microbiota, it has been revealed that microbiota plays a vital role in the development of HCC by influencing intestinal barrier function, microbial metabolites, and immune regulation. TCM, with its multi-component, multi-target, and multi-pathway characteristics, has been increasingly recognized as a vital therapeutic treatment for HCC, particularly in patients at intermediate or advanced stages, by prolonging survival and improving quality of life. Recent global studies demonstrate that TCM exerts anti-HCC effects by modulating gut microbiota, restoring intestinal barrier function, regulating microbial composition and its metabolites, suppressing inflammation, and enhancing immune responses, thereby inhibiting the malignant phenotype of HCC. This review aims to elucidate the mechanisms by which gut microbiota contributes to the development and progression of HCC and highlight the regulatory effects of TCM, addressing the current gap in systematic understanding of the "TCM-gut microbiota-HCC" axis. The findings provide theoretical support for integrating TCM with western medicine in HCC treatment and promote the transition from basic research to precision clinical therapy through microbiota-targeted drug development and TCM-based interventions.
Humans ; Gastrointestinal Microbiome/drug effects* ; Carcinoma, Hepatocellular/microbiology* ; Liver Neoplasms/microbiology* ; Drugs, Chinese Herbal/administration & dosage* ; Animals ; Medicine, Chinese Traditional

The intestinal flora is involved in the development of prostate cancer through various mechanisms. And radiotherapy has a significant effect on the composition of the intestinal flora, which triggers clinical symptoms and affects the efficacy of radiotherapy. The mechanisms of the correlation of intestinal flora, prostate cancer and radiotherapy will be described in this article aiming to provide a reference for more effective prevention and prediction of prostate cancer, enhancement of the effectiveness of prostate cancer treatment as well as improvement of patients' quality of life.
Humans ; Male ; Prostatic Neoplasms/microbiology* ; Gastrointestinal Microbiome/radiation effects* ; Intestines/microbiology*

OBJECTIVES: To explore the underlying pharmacological mechanisms and its potential effects of Chinese medicine herbal formula Sini Powder (SNP) on hepatocellular carcinoma (HCC). METHODS: The active components of SNP and their in vivo distribution were identified using ultraperformance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. Construction of component-target-disease networks, protein-protein interaction network, Gene Ontology function and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis, and molecular docking were employed to analyze the active components and anti-HCC mechanisms of SNP. Cell viability assay and wound healing assay were utilized to confirm the effect of SNP-containing serum (2.5%, 5.0%, 10%, 20%, and 40%), isoprenaline or propranolol (both 10, 100, and 1,000 µ mol/L) on proliferation and migration of HepG 2 or Huh7 cells. Meanwhile, the effect of isoprenaline or propranolol on the β 2 adrenergic receptor (ADRB2) mRNA expression on HepG2 cells were measured by real-time quantitative reverse transcription (RT-qPCR). Mice with subcutaneous tumors were either subjected to chronic restraint stress (CRS) followed by SNP administration (364 mg/mL) or directly treated with SNP (364 mg/mL). These two parallel experiments were performed to validate the effects of SNP on stress responses. Stress-related proteins and hormones were quantified using RT-qPCR, enzyme-linked immunosorbent assay, and immunohistochemistry. Metagenomic sequencing was performed to confirm the influence of SNP on the gut microbiota in the tumor-bearing CRS mice. RESULTS: The distribution of the 12 active components of SNP was confirmed in various tissues and feces. Network pharmacology analysis confirmed the anti-HCC effects of the 5 active components. The potential anti-HCC mechanisms of SNP may involve the epidermal growth factor receptor (EGFR), proto-oncogene tyrosine-protein kinase Src (SRC) and signal transducer and activator of transcription 3 (STAT3) pathways. SNP-containing serum inhibited the proliferation of HepG2 and Huh7 cells at concentrations of 2.5% and 5.0%, respectively, after 24 h of treatment. Furthermore, SNP suppressed tumor progression in tumor-bearing mice exposed to CRS. SNP treatment also downregulated the expressions of stress-related proteins and pro-inflammatory cytokines, primarily by modulating the gut microbiota. Specifically, the abundance of Alistipes and Prevotella, which belong to the phylum Bacteroidetes, increased in the SNP-treated group, whereas Lachnospira, in the phylum Firmicutes, decreased. CONCLUSION SNP can combat HCC by alleviating stress responses through the regulation of gut microbiota.
Animals ; Gastrointestinal Microbiome/drug effects* ; Liver Neoplasms/microbiology* ; Carcinoma, Hepatocellular/microbiology* ; Humans ; Drugs, Chinese Herbal/therapeutic use* ; Powders ; Cell Proliferation/drug effects* ; Mice ; Molecular Docking Simulation ; Cell Line, Tumor ; Hep G2 Cells ; Receptors, Adrenergic, beta-2/genetics* ; Stress, Physiological/drug effects* ; Cell Movement/drug effects* ; Male ; Protein Interaction Maps/drug effects* ; Cell Survival/drug effects* ; Proto-Oncogene Mas

BACKGROUND: Type 2 diabetes mellitus (T2DM) is an independent risk factor for colorectal cancer (CRC), and the patients with CRC and T2DM have worse survival. The human gut microbiota (GM) is linked to the development of CRC and T2DM, respectively. However, the GM characteristics in patients with CRC and T2DM remain unclear. METHODS: We performed fecal metagenomic and targeted metabolomics studies on 36 samples from CRC patients with T2DM (DCRC group, n = 12), CRC patients without diabetes (CRC group, n = 12), and healthy controls (Health group, n = 12). We analyzed the fecal microbiomes, characterized the composition and function based on the metagenomics of DCRC patients, and detected the short-chain fatty acids (SCFAs) and bile acids (BAs) levels in all fecal samples. Finally, we performed a correlation analysis of the differential bacteria and metabolites between different groups. RESULTS: Compared with the CRC group, LefSe analysis showed that there is a specific GM community in DCRC group, including an increased abundance of Eggerthella , Hungatella , Peptostreptococcus , and Parvimonas , and decreased Butyricicoccus , Lactobacillus , and Paraprevotella . The metabolomics analysis results revealed that the butyric acid level was lower but the deoxycholic acid and 12-keto-lithocholic acid levels were higher in the DCRC group than other groups ( P < 0.05). The correlation analysis showed that the dominant bacterial abundance in the DCRC group ( Parvimonas , Desulfurispora , Sebaldella , and Veillonellales , among others) was negatively correlated with butyric acid, hyodeoxycholic acid, ursodeoxycholic acid, glycochenodeoxycholic acid, chenodeoxycholic acid, cholic acid and glycocholate. However, the abundance of mostly inferior bacteria was positively correlated with these metabolic acid levels, including Faecalibacterium , Thermococci , and Cellulophaga . CONCLUSIONS Unique fecal microbiome signatures exist in CRC patients with T2DM compared to those with non-diabetic CRC. Alterations in GM composition and SCFAs and secondary BAs levels may promote CRC development.
Humans ; Gastrointestinal Microbiome/genetics* ; Diabetes Mellitus, Type 2 ; Microbiota ; Bacteria/genetics* ; Fatty Acids, Volatile ; Colorectal Neoplasms/metabolism* ; Butyrates ; Feces/microbiology*

OBJECTIVE: To investigate the changes in bacterial flora in fecal samples, at the tumor loci and in adjacent mucosa in patients with colorectal cancer (CRC). METHODS: We collected fecal samples from 13 patients with CRC and 20 healthy individuals and tumor and adjacent mucosa samples from 6 CRC patients. The differences in bacterial composition between the fecal and mucosa samples were analyzed with 16S rDNA sequencing and bioinformatics methods. We also detected the total number of bacteria in the feces using flow cytometry, isolated and identified the microorganisms in the fecal and mucosa samples using common bacterial culture media. We further tested the effects of 7 isolated bacterial strains on apoptosis of 3 CRC cell lines using lactate dehydrogenase detection kit. RESULTS: The bacterial α-diversity in the feces of healthy individuals and in adjacent mucosa of CRC patients was significantly higher than that in the feces and tumor mucosa in CRC patients (P < 0.05). Lactobacillaceae is a specific bacteria in the feces, while Escherichia, Enterococcus, and Fusobacterium are specific bacteria in tumor mucosa of CRC patients as compared with healthy individuals. Cell experiment with3 CRC cell lines showed that Bacteroides fragilis isolated from the tumor mucosa of CRC patients produced significant inhibitory effects on cell proliferation (P < 0.0001), while the isolated strain Fusobacterium nucleatum obviously promoted the proliferation of the cell lines (P < 0.001). CONCLUSION The bacterial flora in the feces, tumor mucosa and adjacent mucosa of CRC patients is significantly different from that in the feces of healthy individuals, and the fecal flora of CRC patients can not represent the specific flora of the tumor mucosa. Inhibition of F. nucleatum colonization in the tumor mucosa and promoting B. fragilis colonization may prove beneficial for CRC treatment.
Bacteria ; Colorectal Neoplasms/pathology* ; Feces/microbiology* ; Gastrointestinal Microbiome ; Humans ; Intestinal Mucosa

Objective: To explore the correlation between age and diversity and microbial composition in saliva and feces microbiota in high-risk population of upper gastrointestinal cancer. Methods: Based on the national project on early diagnosis and early treatment of upper gastrointestinal cancer, 38 participants were enrolled in Linzhou in Henan province in August 2019. The participant information was collected by questionnaire. Saliva and feces specimens were collected from each participant for 16S rRNA sequencing and bioinformatics analysis. Spearman rank correlation was used to analyze the correlation between age and α diversity (Observed ASVs and Shannon index) and relative abundance of microbiota (phyla, genera, and species) in saliva and feces. Results: The median age (age range) of 38 participants was 54 (43-60) years old, and there were 16 males (42.1%). The Observed ASVs of saliva was negatively correlated with age (r_s=-0.35, P<0.05), but the observed ASVs of feces was not correlated with age. In saliva, the relative abundance of Treponema (r_s=‒0.44, P<0.05), Alloprevotella (r_s=‒0.42, P<0.05), and Porphyromonas (r_s=‒0.41,P<0.05) were significantly negatively correlated with age. At the species level, the relative abundance of Porphyromonas endodontalis, Alloprevotella tannerae, Haemophilus influenza, Moraxella bovoculi, Prevotella sp.oral clone ID019, and Prevotella sp.oral clone ASCG10 in saliva were significantly negatively correlated with age, and the r_s values were -0.50, -0.40, -0.38, -0.35, -0.33 and -0.33 (P<0.05), respectively. In feces, the relative abundance of Enterobacteria (r_s=-0.35, P<0.05), Escherichia (r_s=-0.33, P<0.05), and Bifidobacteria (r_s=0.33, P<0.05) were correlated with age. At the species level, the relative abundance of Romboutsia sedimentorum, Citrobacter murliniae, and bacteroides uniformis in feces were correlated with age, and the r_s values were -0.42, -0.37 and 0.36 (P<0.05), respectively. Conclusion: Age of the high-risk population of upper gastrointestinal cancer is correlated with the relative abundance of microbiota in saliva and feces.
Male ; Humans ; Adult ; Saliva/microbiology* ; RNA, Ribosomal, 16S/genetics* ; Feces/microbiology* ; Microbiota ; Gastrointestinal Neoplasms