Gut microbiota display alternative profiles in patients with early-onset colorectal cancer

Xiong, Huan; Wang, Jiaqi; Chang, Zewen; Hu, Hanqing; Yuan, Ziming; Zhu, Yihao; Hu, Zhiqiao; Wang, Chunlin; Liu, Yunxiao; Wang, Yan; Wang, Guiyu; Tang, Qingchao

doi:10.3389/fcimb.2022.1036946

Cited by 5 publications

(1 citation statement)

References 40 publications

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“…In recent years, EOCRC accounted for about 10% of new CRC cases, and an accompanying increase in cancer-related death has also been observed in EOCRC patients [5][6][7]. Patients with EOCRC were associated unique clinical, genetic and epigenetic characteristics, resulting in the prognosis for this population may differ from late-onset CRC cases [8,9]. Therefore, determining prognostic indicators in EOCRC patients and constructing reliable quantitative prediction models would be of eminent signi cance in clinical work.…”

Section: Introductionmentioning

confidence: 99%

Construction of a prognostic nomogram for early-onset colorectal cancer patients ： a population-based study in the SEER database and China

Chang

Xiong

Wang

et al. 2023

Preprint

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Background The prognosis of early-onset colorectal cancer (EOCRC) remains largely constrained by clinical heterogeneity. The aim of this paper was to construct a targeted prognostic nomogram combining multi-indicator to individually predict overall survival (OS) for EOCRC.Methods 6893 patients from the SEER database (SEER training set: n = 3447; SEER validation set: n = 3446) and 271 patients from the Second Affiliated Hospital of Harbin Medical University (External validation set) were included. Independent factors in the multivariate analysis were used to build the nomogram. The performance of nomogram was examined by calibration curves, net reclassification improvement (NRI) index and integrated discrimination improvement (IDI) index, decision curve analyses (DCA) and receiver operating characteristic (ROC) curves.Results Race, marital status, tumor location, histological type, tumor grade, T stage, N stage, M stage, preoperative CEA level, postoperative chemotherapy were identified as independent prognosticators for OS. The calibration curves of the nomogram showed good consistencies between predicted and observed OS. The AUCs, IDI and NRI indicated that the nomogram predicted prognosis with better accuracy than the TNM staging system. DCA also suggested that the proposed nomogram owned more excellent net benefits in guiding clinical decision than TNM staging system.Conclusion The current study conducted a prognostic analysis and built a prognostic nomogram for EOCRC patients, And the nomogram demonstrated superiority over the TNM staging system regrading to prediction capacity for EOCRC patients.

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Section: Introductionmentioning

confidence: 99%

Construction of a prognostic nomogram for early-onset colorectal cancer patients ： a population-based study in the SEER database and China

Chang

Xiong

Wang

et al. 2023

Preprint

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Could environmental exposure and climate change Be a key factor in the rising incidence of early onset colorectal cancer?

AlZaabi,

Younus,

Al-Reasi

et al. 2024

Heliyon

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Characteristics of gut microbiota in anastomotic leakage patients in cold zones post-colorectal cancer surgery: A high-throughput sequencing and propensity-score matching study

Wang,

Zhang,

Cao

et al. 2024

Frigid Zone Medicine

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Objective The study aimed to explore the association between gut microbiota and anastomotic leakage (AL) after surgery in colorectal cancer (CRC) patients from a frigid zone, based on high-throughput sequencing. Methods A total of 98 CRC patients admitted to the Second Affiliated Hospital of Harbin Medical University from July 2018 to February 2019, who met the inclusion criteria, were included. Among these, 10 patients were diagnosed as AL. After propensity-score matching of baseline characteristics, 10 patients from the anastomotic leakage group (AG) and 10 patients from the normal group (NG) were finally included in this study. Fecal samples were collected, and total DNA was extracted for high-throughput sequencing and bioinformatic analysis. Results Alpha diversity analysis showed no significant difference between the two groups, while beta diversity analysis revealed significant differences in principal components. Differential microbiota were classified as Proteobacteria at the phylum level (P = 0.021). At the genus level, the abundances of Streptococcus (P = 0.045), Citrobacter (P = 0.008) and Klebsiella (P = 0.002) were significantly different between the two groups. LEfSe analysis indicated that these genera contributed most to the differences between the groups. Conclusion The characteristics of the gut microbiota in the AG and NG were significantly different, and these differences might be associated with AL in CRC patients from frigid zones.

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Gut microbiota display alternative profiles in patients with early-onset colorectal cancer

Cited by 5 publications

References 40 publications

Construction of a prognostic nomogram for early-onset colorectal cancer patients ： a population-based study in the SEER database and China

Construction of a prognostic nomogram for early-onset colorectal cancer patients ： a population-based study in the SEER database and China

Could environmental exposure and climate change Be a key factor in the rising incidence of early onset colorectal cancer?

Characteristics of gut microbiota in anastomotic leakage patients in cold zones post-colorectal cancer surgery: A high-throughput sequencing and propensity-score matching study

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