Colorectal Cancer, Age, and Obesity-Related Comorbidities: A Large Database Study

Elangovan, Abbinaya; Skeans, Jacob; Landsman, Marc; Ali, Sajjadh M. J.; Elangovan, Arvind Ganesan; Kaelber, David C.; Sandhu, Dalbir S.; Cooper, Gregory S.

doi:10.1007/s10620-020-06602-x

Cited by 49 publications

(43 citation statements)

References 28 publications

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“…Since 2001, several epidemiological studies have investigated the association between MetS and CRC risk but showed inconsistent results. As some studies showed that, MetS plays an important role in CRC [15][16][17]. However, there were also studies showed no significant correlation between the two [18][19][20][21][22].…”

Section: Ivyspringmentioning

confidence: 96%

The association of Metabolic Syndrome and its Components with the Incidence and Survival of Colorectal Cancer: A Systematic Review and Meta-analysis

Han¹,

Wu²,

Zhang³

et al. 2021

Int. J. Biol. Sci.

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Background: This meta-analysis was aimed to quantitatively assess the associations of metabolic syndrome (MetS) and its components with colorectal cancer (CRC). Methods: PubMed, EMBASE and Web of Science databases were systematically searched for eligible studies. A total of 18 studies for CRC incidence and 12 studies for CRC mortality were identified. Results: MetS was associated with an increased risk of CRC incidence and mortality in male (RR: 1.28, 95 % CI 1.16-1.39, and 1.24, 1.18-1.31, respectively) and correlated with an increased risk of CRC incidence in female (RR: 1.21, 1.13-1.30), but not with CRC mortality in female. MetS increased the risk of cancer-specific mortality (RR: 1.72, 1.03-2.42), but not overall mortality. The risk estimates of CRC incidence changed little depending on age, sex, cancer site, the type of studies, ethnicity, publication year, or definition of MetS. As for CRC mortality, further stratified analyses indicated statistical significance in studies with assessing cancer-specific survival outcome, in male, a cohort design, ethnicity of non-Chinese or with definition of MetS as ≥ 3 metabolic abnormalities. Obesity and hyperglycemia are risk factors of CRC incidence in both male and female. Only dysglycemia is the risk factor for CRC mortality. Conclusions: MetS is associated with an increased risk of CRC incidence and cancer-specific mortality, but not overall mortality. In addition, MetS may increase the CRC mortality in male rather than in female. However, since most of the studies on CRC mortality were conducted in Chinese, further studies are needed to clarify this connection.

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Section: Ivyspringmentioning

confidence: 96%

The association of Metabolic Syndrome and its Components with the Incidence and Survival of Colorectal Cancer: A Systematic Review and Meta-analysis

Han¹,

Wu²,

Zhang³

et al. 2021

Int. J. Biol. Sci.

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“…With respect to early-onset CRC, modifiable risk factors such as obesity, Western diet (a high intake of red meat and low intake of fruit and vegetables), stress, antibiotics, and physical inactivity, together with sedentary behaviour, can all contribute to the increased CRC incidence in young adults [ 119 , 120 , 121 , 122 ]. Moreover, gut microbiome dysbiosis also has a strong effect on disease development, and alterations in the intestinal microbiota and decreased production of short chain fatty acids (SCFAs) appear to be relevant risk factors ( Figure 4 ).…”

Section: Association Of Age With Disease Progression In Colorectalmentioning

confidence: 99%

Recent Updates on the Significance of KRAS Mutations in Colorectal Cancer Biology

László

Kurilla

Takács

et al. 2021

Cells

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The most commonly mutated isoform of RAS among all cancer subtypes is KRAS. In this review, we focus on the special role of KRAS mutations in colorectal cancer (CRC), aiming to collect recent data on KRAS-driven enhanced cell signalling, in vitro and in vivo research models, and CRC development-related processes such as metastasis and cancer stem cell formation. We attempt to cover the diverse nature of the effects of KRAS mutations on age-related CRC development. As the incidence of CRC is rising in young adults, we have reviewed the driving forces of ageing-dependent CRC.

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“…Also, a longitudinal analysis study indicated non-alcoholic fatty liver disease (NAFLD) with obesity posed a risk factor for colorectal cancer in apparently healthy Japanese individuals [7]. In addition, Abbinaya Elangovan, et al conducted a large retrospective, cross-sectional database study which showed the association between obesity and colorectal cancer [8]. Obesity is regarded as one of the key environmental risk factors for the pathogenesis of CRC.…”

Section: Discussionmentioning

confidence: 99%

Association Between Obesity and Incident Colorectal Cancer: An Analysis Based on Colorectal Cancer Database in the Cancer Genome Atlas

Yongxian¹,

Tonghua²

2021

Preprint

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Background To investigate gene factors of colorectal cancer (CRC) in obesity and potential molecular markers. Methods Clinical data and mRNA expression data from The Cancer Genome Atlas (TCGA) was collected and divided into obese group and non-obese group according to BMI. The differential expressed genes (DEGs) were screened out by “Limma” package of R software based on (|log2(fold change)|>2 and p < 0.05). The functions of DEGs were revealed with Gene Ontology and Kyoto Encyclopedia Genes and Genomes pathway enrichment analysis using the DAVID database. Then STRING database and Cytoscape were used to construct a protein-protein interaction (PPI) network and identify hub genes. Kaplan-Meier analysis was used to assess the potential prognostic genes for CRC patients. Results It has revealed 2055 DEGs in obese group with CRC, 7615 DEGs in non-obese group and 9046 DEGs in total group. MS4A12, TMIGD1, CA2, GBA3 and SLC51B were the top five downregulated genes in obese group. A PPI network consisted of 1042 nodes and 4073 edges, and top ten hub genes SST, PYY, GNG12, CCL13, MCHR2, CCL28, ADCY9, SSTR1, CXCL12 and ADRA2A were identified in obese group. PDCD11 may well predict overall survivals of CRC patients in non-obese group. The survival time of obese group was shorter than that of non-obese group, but there was no significant difference. Conclusions PDCD11 may be a potential molecular marker for non-obese patients with CRC.

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Colorectal Cancer, Age, and Obesity-Related Comorbidities: A Large Database Study

Cited by 49 publications

References 28 publications

The association of Metabolic Syndrome and its Components with the Incidence and Survival of Colorectal Cancer: A Systematic Review and Meta-analysis

The association of Metabolic Syndrome and its Components with the Incidence and Survival of Colorectal Cancer: A Systematic Review and Meta-analysis

Recent Updates on the Significance of KRAS Mutations in Colorectal Cancer Biology

Association Between Obesity and Incident Colorectal Cancer: An Analysis Based on Colorectal Cancer Database in the Cancer Genome Atlas

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