| Literature DB >> 31791356 |
Lelde Lauka1,2, Elisa Reitano1, Maria Clotilde Carra3, Federica Gaiani4, Paschalis Gavriilidis5, Francesco Brunetti1,2, Gian Luigi de'Angelis6, Iradj Sobhani2,7, Nicola de'Angelis1,2.
Abstract
OBJECTIVES: Growing evidence supports the role of the intestinal microbiome in the carcinogenesis of colorectal cancers, but its impact on colorectal cancer surgery outcomes is not clearly defined. This systematic review aimed to analyze the association between intestinal microbiome composition and postoperative complication and survival following colorectal cancer surgery.Entities:
Keywords: Colorectal cancer; Intestinal microbiome; Oncological outcomes; Surgical outcomes; Systematic review
Mesh:
Year: 2019 PMID: 31791356 PMCID: PMC6889350 DOI: 10.1186/s12957-019-1754-x
Source DB: PubMed Journal: World J Surg Oncol ISSN: 1477-7819 Impact factor: 2.754
Fig. 1PRISMA flow diagram for study search, selection, inclusion, and exclusion. Example or search terms strategy: (("microbiota"[MeSH Terms] OR "microbiota"[All Fields] OR "microbiome"[All Fields]) AND colorectal[All Fields]) AND (("surgery"[Subheading] OR "surgery"[All Fields] OR "surgical procedures, operative"[MeSH Terms] OR ("surgical"[All Fields] AND "procedures"[All Fields] AND "operative"[All Fields]) OR "operative surgical procedures"[All Fields] OR "surgery"[All Fields] OR "general surgery"[MeSH Terms] OR ("general"[All Fields] AND "surgery"[All Fields]) OR "general surgery"[All Fields]) OR ("complications"[Subheading] OR "complications"[All Fields]) OR ("anastomotic leak"[MeSH Terms] OR ("anastomotic"[All Fields] AND "leak"[All Fields]) OR "anastomotic leak"[All Fields]) OR ("surgical wound infection"[MeSH Terms] OR ("surgical"[All Fields] AND "wound"[All Fields] AND "infection"[All Fields]) OR "surgical wound infection"[All Fields]) OR ("ileus"[MeSH Terms] OR "ileus"[All Fields]) OR ("recurrence"[MeSH Terms] OR "recurrence"[All Fields]) OR ("mortality"[Subheading] OR "mortality"[All Fields] OR "mortality"[MeSH Terms]) OR ("mortality"[Subheading] OR "mortality"[All Fields] OR "survival"[All Fields] OR "survival"[MeSH Terms]) OR outcomes[All Fields])
Characteristics of the included studies
| Authors, year | Study design | No. of patients1 | Tumor stage | Microbiome type, tissue sample | Detection method | Bacteria2 | Short-term surgical outcomes | Long-term oncological outcomes | Mean (SD) or median (range) follow-up | Adjustments on covariates |
|---|---|---|---|---|---|---|---|---|---|---|
| Flanagan et al., 2014 | Cohort | 32 | Dukes staging A-D | MAM, tumor | Bacterial DNA, qPCR | Not reported | • Overall survival | 5 years | Not specified | |
| Flemer et al., 2018 | Cohort | 47 | AJCC I-IV | MAM, tumor | Bacterial DNA, V3-V4 16S rRNA | CAG | Not reported | • Overall survival | 1371 days (67–1792 days) | Tumor stage, age, gender, treatment with chemotherapy and/or radiotherapy and cancer site |
| Kosumi et al., 2018 | Cohort | 1313 | AJCC I-IV | MAM, tumor | Bacterial DNA, qPCR | Not reported | • Cancer-specific mortality • Overall mortality | 14.3 years (10–18.3 years) | Microsatellite instability status, CpG island methylator phenotype, long-interspersed nucleotide element-1 methylation, KRAS, BRAF, and PIK3CA mutations. | |
| Mima et al., 2016 | Cohort | 1069 | AJCC I-IV | MAM, tumor | Bacterial DNA, qPCR | Not reported | • Cancer-specific mortality • Overall mortality | 10.7 years (7–15.8 years) | Age, sex, year of diagnosis, family history of colorectal carcinoma in a first-degree relative, tumor location, microsatellite instability (MSI, mismatch repair deficiency), CpG island methylator phenotype (CIMP), KRAS, BRAF, and PIK3CA mutations, and LINE-1 hypomethylation (low-level methylation). | |
| Van Praagh et al., 2017 | Case-control | 118 | Not specified3 | MAM, anastomosis | Bacterial DNA, V3-V4 16S rRNA | All | Anastomotic leakage | Not reported | Not reported | Not specified |
| Wei et al., 2016 | Cohort | 180 | AJCC I-IV | MAM, tumor | Bacterial DNA, V4 16S rRNA | All | Not reported | • Overall survival • Disease-free survival | 47 months (36–59 months) | Not specified |
| Yan et al., 2017 | Cohort | 208 | AJCC III-IV | MAM, tumor | Bacterial DNA, qPCR | Not reported | • Cancer-specific survival • Disease-free survival | Not reported | Not specified | |
| Yu et al., 2017 | Cohort | 296 | AJCC II-III | MAM, tumor | Bacterial DNA, qPCR | Not reported | • Recurrence-free survival | Not reported | Not specified |
AJCC, American Joint Committee on Cancer; MAM, mucosa-associated microbiome; CAG, tissue-associated microbial co-abundance groups; qPCR, quantitative polymerase chain reaction
1Patients included in the analysis of the microbiome and its association with short- or long-term outcomes
2Bacteria analyzed for an association with short- or long-term outcomes
3The study also included 6 non-oncological patients
Summary of the main results of the included studies
| Authors, year | Bacteria1 | Bacterial characteristics in tissues | Association between microbiota composition and tumor stage | Results |
|---|---|---|---|---|
| Short-term outcomes | ||||
| Van Praagh et al., 2017 | High abundance + Low microbial diversity in patients with or without C-seal | Not reported | - AL patients without a C-seal showed a significant lower microbial diversity, more - AL cases of non-C-seal patients seem to be almost without exception dominated by - Relation between the composition of the intestinal microbiota and the subsequent development of AL after stapled colorectal anastomoses, but only in patients who underwent surgery without the additional C-seal that covered the anastomoses | |
| Long-term outcomes | ||||
| Flanagan et al., 2014 | High vs. low or fold increase from normal | No significant differences between patients with no/low or high | - A significant difference in survival between patients without detected - Median survival of subjects with high | |
| Flemer et al., 2018 | Pathogen | Relative abundance | Not specified | - Pathogen CAG-type microbiota was associated with longer survival (HR = 0.8, CI = 0.6–1.06; - Prevotella CAG-type microbiota was associated with longer survival (HR = 0.36, CI = 0.12–1.1; - Bacteroidetes CAG was associated with longer survival (HR = 0.75, CI = 0.58–1.03; - Firmicutes CAG 2 was associated with shorter survival (HR = 1.52, CI = 0.84–2.75; |
| Kosumi et al., 2018 | Negative vs. low vs. high DNA weight | Difference in Bifidobacteria was not associated with disease stage | No significant associations of the amount of Bifidobacteria with colorectal cancer-specific mortality or overall mortality | |
| Mima et al., 2016 | High vs. low vs. negative DNA load | The amount of tissue | - Compared with - A higher amount of tissue | |
| Wei et al., 2016 | High vs. low abundance | - High abundance of - High abundance of | - Higher level of - - - - 3-year OS was significantly lower in patients with high - Low abundance of - - | |
| Yan et al., 2017 | High vs. low level | - In both stage III and IV tumor, - - Stage IIIA patients with low - High | - Patients with high For CSS: HR = 2.22; 95% CI = 1.48–3.32; For DFS: HR = 2.0; 95% CI = 1.39–2.86; | |
| Yu et al., 2017 | High vs. low amount | The amount of | - The 5-year RFS was substantially shorter in the - | |
AL, anastomotic leakage; CAG, tissue-associated microbial co-abundance groups; CRC, colorectal cancer; HR, hazard ratios; OS, overall survival; CSS, cancer-specific survival; DFS, disease-free survival; RFS, recurrence-free survival; NS, not stated in the manuscript; LNM, lymph node metastasis
1Bacteria specifically associated with analyzed outcome