ObjectiveMicrobiota disorder promotes chronic inflammation and carcinogenesis. High glycolysis is associated with poor prognosis in patients with colorectal cancer (CRC). However, the potential correlation between the gut microbiota and glucose metabolism is unknown in CRC.Design18F-FDG (18F-fluorodeoxyglucose) PET (positron emission tomography)/CT image scanning data and microbiota PCR analysis were performed to measure the correlation between metabolic alterations and microbiota disorder in 33 patients with CRC. Multiple colorectal cancer models, metabolic analysis and Seahorse assay were established to assess the role of long non-coding RNA (lncRNA) enolase1-intronic transcript 1 (ENO1-IT1) in Fusobacterium (F.) nucleatum-induced glucose metabolism and colorectal carcinogenesis. RNA immunoprecipitation and chromatin immunoprecipitation sequencing were conducted to identify potential targets of lncRNA ENO1-IT1.ResultsWe have found F. nucleatum abundance correlated with high glucose metabolism in patients with CRC. Furthermore, F. nucleatum supported carcinogenesis via increasing CRC cell glucose metabolism. Mechanistically, F. nucleatum activated lncRNA ENO1-IT1 transcription via upregulating the binding efficiency of transcription factor SP1 to the promoter region of lncRNA ENO1-IT1. Elevated ENO1-IT behaved as a guider modular for KAT7 histone acetyltransferase, specifying the histone modification pattern on its target genes, including ENO1, and consequently altering CRC biological function.ConclusionF. nucleatum and glucose metabolism are mechanistically, biologically and clinically connected to CRC. Targeting ENO1 pathway may be meaningful in treating patients with CRC with elevated F. nucleatum.

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PurposeWe evaluated the prognostic value of total lesion glycolysis (TLG) measured in baseline 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) in diffuse large B-cell lymphoma (DLBCL) treated with rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP).MethodsA total of 91 patients with newly diagnosed DLBCL underwent 18F-FDG PET/CT scans before R-CHOP therapy. Metabolic tumor volume (MTV) was measured with the marginal threshold of normal liver mean standard uptake value (SUVmean) plus 3 standard deviations (SD). TLG was the sum of the products of MTV and SUVmean in all measured lesions. The predictive value was estimated by Log-rank test and Cox-regression analysis.ResultsMedian follow-up was 30 months (range, 5-124 months). The 5-year estimated progression-free survival (PFS) of the low and high TLG group were 83% and 34%, respectively (p<0.001). The 5-year overall survival (OS) of the same groups were 92% and 67%, respectively (p<0.001). Patients with high TLG level were more likely to relapse than those with low TLG level even though they had got complete or partial remission in R-CHOP therapy (40% versus 9%, p=0.012). Multivariate analysis revealed TLG was the only independent predictor for PFS (Hazard ratio=5.211, 95% confidence interval=2.210-12.288, p<0.001) and OS (Hazard ratio=9.136, 95% confidence interval=1.829-45.644, p=0.002). Other factors including MTV, National Comprehensive Cancer Network International Prognostic Index (NCCN-IPI) and Ann Arbor Stage were not independently predictive for survivals.ConclusionBaseline TLG is the only independent predictor for PFS and OS in DLBCL patients treated with R-CHOP therapy.