| Literature DB >> 35296101 |
Guan-Hua Yu1, Shuo-Feng Li1, Ran Wei1, Zheng Jiang1.
Abstract
Several epidemiological studies have identified diabetes as a risk factor for colorectal cancer (CRC). The potential pathophysiological mechanisms of this association include hyperinsulinemia, insulin-like growth factor (IGF) axis, hyperglycemia, inflammation induced by adipose tissue dysfunction, gastrointestinal motility disorder, and impaired immunological surveillance. Several studies have shown that underlying diabetes adversely affects the prognosis of patients with CRC. This review explores the novel anticancer agents targeting IGF-1R and receptor for advanced glycation end products (RAGE), both of which play a vital role in diabetes-induced colorectal tumorigenesis. Inhibitors of IGF-1R and RAGE are expected to become promising therapeutic choices, particularly for CRC patients with diabetes. Furthermore, hypoglycemic therapy is associated with the incidence of CRC. Selection of appropriate hypoglycemic agents, which can reduce the risk of CRC in diabetic patients, is an unmet issue. Therefore, this review mainly summarizes the current studies concerning the connections among diabetes, hypoglycemic therapy, and CRC as well as provides a synthesis of the underlying pathophysiological mechanisms. Our synthesis provides a theoretical basis for rational use of hypoglycemic therapies and early diagnosis and treatment of diabetes-related CRC.Entities:
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Year: 2022 PMID: 35296101 PMCID: PMC8920658 DOI: 10.1155/2022/1747326
Source DB: PubMed Journal: J Diabetes Res Impact factor: 4.011
Summary of representative association studies between type 2 diabetes mellitus (T2DM) and CRC.
| Influence of T2DM on CRC | Ref. | Study design | Main findings |
|---|---|---|---|
| Increased incidence of CRC | Pang et al. [ | Cohort study ( | Diabetic patients showed an increased risk of CRC (HR: 1.18; 95% CI: 1.04–1.39). |
| Ma et al. [ | Cohort study ( | Diabetic patients showed an increased risk of CRC (HR: 1.42; 95% CI: 1.12–1.81). | |
| Guraya et al. [ | Meta-analysis ( | Diabetic patients showed an increased risk of CRC (HR: 1.21; 95% CI: 1.02-1.42). | |
| Larsson et al. [ | Cohort study ( | Diabetic male patients showed an increased risk of CRC (HR: 1.49; 95% CI: 1.14–1.96). | |
| Campbell et al. [ | Cohort study ( | Diabetic male patients showed an increased risk of CRC (RR: 1.22; 95% CI: 1.08-1.44), whereas diabetic female patients failed to show increased risk of CRC (RR: 1.01; 95% CI: 0.82-1.23). | |
| Jiang et al. [ | Meta-analysis ( | Diabetic patients showed an increased risk of CRC (summary relative risks: 1.27; 95% CI: 1.21-1.34). | |
| Worse prognosis of CRC | Mills et al. [ | Meta-analysis ( | CRC patients with T2DM had higher all-cause mortality (RR: 1.17; 95% CI: 1.09-1.25) and cancer-specific mortality (RR: 1.12; 95% CI: 1.01-1.24). |
| Dehal et al. [ | Cohort study ( | CRC patients with T2DM had higher overall mortality (RR: 1.53; 95% CI: 1.28–1.83). | |
| Huang et al. [ | Cohort study ( | CRC patients with T2DM had higher overall mortality (RR: 1.21; 95% CI: 1.04–1.41) and CRC-specific mortality (RR: 1.21; 95% CI: 1.02–1.43). | |
| Barone et al. [ | Meta-analysis ( | CRC patients with T2DM had higher overall mortality (RR: 1.32; 95% CI: 1.24–1.41). | |
| Stein et al. [ | Meta-analysis ( | CRC patients with T2DM had higher overall mortality (RR: 1.32; 95% CI: 1.24–1.41). | |
| Jeon et al. [ | Cohort study ( | Colon cancer patients with T2DM had worse disease-free survival (HR: 1.46; 95% CI: 1.11-1.92) and DFS (HR: 1.45; 95% CI: 1.15-1.84), but such effects were not observed in rectal cancer patients with T2DM. |
Figure 1Schematic review of the tumor-promoting signaling pathways linking hyperinsulinemia and CRC. IGF-1R is comprised of extracellular α-chains, transmembrane β-chains and intracellular tyrosine kinase (IRS-1). Both IGF-1 and insulin are ligands for IGF-1R, and their binding induces autophosphorylation and conformational change of cytoplasmic tyrosine domain, resulting in stimulation of signaling cascades, mainly including PI3K/AKT and MAPK pathways which are closely correlated with protein synthesis, survival, and proliferation. IRS-1: insulin receptor substrate-1; PI3K: phosphatidylinositol 3-kinase; AKT: protein kinase B; mTOR: mammalian target of rapamycin; MAPK: mitogen-activated protein kinase; MEK: mitogen-activated protein kinase; ERK: extracellular signal-regulated kinase; SOS: son of sevenless; FOXO: Forkhead; BAD: proapoptotic member of the Bcl-family; GS3Kβ: glycogen synthase kinase.
Figure 2Effects of hyperinsulinemia and IGF axis on colorectal carcinogenesis. GLP-1: glucagon-like peptide-1; PI3K: phosphatidylinositol 3-kinase; mTOR: mammalian target of rapamycin; MAPK: mitogen-activated protein kinase; MEK: mitogen-activated protein kinase; ERK: extracellular signal-regulated kinase.
Figure 3Effects of hyperglycemia on colorectal carcinogenesis. RAGE: receptor for advanced glycation end products; AGEs: advanced glycation end products; ROS: reactive oxygen species; ERK: extracellular signal-regulated kinase; SP1: specificity protein 1; MMP-2: matrix metallopeptidase-2; MAPK: mitogen-activated protein kinase; NF-κB: nuclear factor kappa-B; PI3K: phosphatidylinositol 3-kinase; YAP-1: Yes-associated protein-1; GLUT1: glucose transporter 1; GLUT3: glucose transporter 3.
Figure 4Effects of obesity and adipose tissue dysfunction on colorectal carcinogenesis. JAK: Janus kinase; STAT3: signal transducer and activator of transcription 3; PI3K: phosphatidylinositol 3-kinase; mTOR: mammalian target of rapamycin; MAPK: mitogen-activated protein kinase; ERK: extracellular signal-regulated kinase; AMPK: adenosine monophosphate-activated protein kinase; IL-1β: interleukin-1β; IL-6: interleukin-6; TNF-α: tumor necrosis factor-α.
Figure 5Predisposing factors of patients with T2DM for CRC.
Summary of representative anticancer agents targeting IGF-1R and RAGE against CRC.
| Agent categories | References | Design | Main findings |
|---|---|---|---|
| Anticancer agents targeting IGF-1R | Leiphrakpam et al. [ | Preclinical study | The monoclonal anti-IGF1R antibody MK-0646 and IGF-1R tyrosine kinase inhibitor OSI-906 could induce apoptosis of colon cancer cells in vitro and inhibit the growth of subcutaneous CRC xenograft. |
| Cohen et al. [ | Preclinical study | The monoclonal anti-IGF1R antibody CP751,871 could restrain the growth of CRC xenograft and enhance the anticancer efficacy of chemotherapeutic agents including Adriamycin, 5-fluorouracil, or tamoxifen in CRC models. | |
| Flanigan et al. [ | Preclinical study | The IGF-1R/insulin receptor tyrosine kinase inhibitor PQIP could improve anticancer efficacy of chemotherapeutic drugs (including oxaliplatin, irinotecan, and 5-fluorocrail) against CRC xenografts. | |
| Becerra et al. [ | Clinical study ( | None of the 168 patients with metastatic CRC achieved objective partial or complete response and obtain survival benefits after receiving intravenous therapy of CP751,871. | |
| Lin et al. [ | Clinical study ( | Few patients with chemotherapy-refractory colorectal cancer could benefit from treatment with the monoclonal anti-IGF1R antibody SCH71745. | |
| Sclafani et al. [ | Clinical study ( | Patients with metastatic CRC failed to gain survival benefits after adding monoclonal anti-IGF1R antibody MK-0646 to irinotecan and cetuximab. | |
| Cohen et al. [ | Clinical study ( | The monotherapy of monoclonal anti-IGF1R antibody IMC-A12 failed to exhibit anticancer efficacy for patients with metastatic CRC. The combination of IMC-A12 with epidermal growth factor receptor inhibitor cetuximab did not show additional anticancer activity either. | |
| Cohn et al. [ | Clinical study ( | Few patients with metastatic CRC refractory to fluoropyrimidine and oxaliplatin-based chemotherapy gained survival benefits from combination of monoclonal anti-IGF1R antibody AMG 479 and FOLFIRI chemotherapy. | |
| Anticancer agents targeting RAGE | Arabiyat et al. [ | Preclinical study | Fluoroquinolones could inhibit AGEs and exhibited cytotoxicity against multiple CRC cell lines in vitro. |
| Zhang et al. [ | Preclinical study | Flavonoids and polyphenolic acids extracted from Castanea mollissina Blume showed stronger inhibitory effects on AGEs and cytotoxic activity against CRC cell lines. | |
| Hafsa et al. [ | Preclinical study | The extract from Carpobrotus edulis could inhibit AGEs and significantly decrease the CRC cell viability. | |
| Zhang et al. [ | Preclinical study | The anti-S100A9 antibody could suppress proliferation and inflammatory response of CRC cells in mice. | |
| Gnanasekar et al. [ | Preclinical study | The short hairpin RNA targeting HMGB1 can inhibit proliferation and migration of CRC cells. | |
| Kuniyasu et al. [ | Preclinical study | The HMGB1 antisense S-oligodeoxynucleotides could significantly repress growth and invasion of CRC cell lines. |
Nonexhaustive summary of associations between the use of hypoglycemic medications (insulin, insulin analogs, metformin, thiazolidinediones, sulfonylurea, and α-glucosidase inhibitor) and the risk of CRC.
| Agent categories | Ref. | Design | Main findings |
|---|---|---|---|
| Insulin and its analogs | Ma et al. [ | Cohort study ( | C-peptide levels were associated with risk of CRC (RR: 2.7; 95% CI: 1.2-6.2). |
| Wei et al. [ | Nested case-control study ( | C-peptide levels were associated with risk of colon cancer (RR: 1.76; 95% CI: 0.85-3.63). | |
| Bu et al. [ | Meta-analysis ( | Insulin therapy could increase the risk of CRC. Specifically, insulin use was associated with a statistically significant 115% higher risk of CRC among case-control studies (RR: 2.15; 95% CI: 1.41-3.26), but not among cohort studies (RR: 1.25; 95% CI: 0.95-1.65). | |
| Wang et al. [ | Meta-analysis ( | Insulin use could contribute to the risk of CRC (RR: 1.61; 95% CI: 1.18-1.35). | |
| Yin et al. [ | Meta-analysis ( | Insulin use was significantly associated with risk of CRC (RR: 1.69; 95% CI: 1.25-2.27). | |
| Chen et al. [ | Meta-analysis ( | Insulin use was associated with an increased risk of CRC (RR: 1.86; 95% CI: 1.58-0-2.19). | |
| Yang et al. [ | Cohort study ( | Insulin therapy significantly increased the risk of CRC (RR: 2.1; 95% CI: 1.2-3.4). | |
| Wu et al. [ | Meta-analysis ( | Use of insulin analogues (insulin glargine and detemir) was not associated with risk of CRC. | |
| Pradhan et al. [ | Cohort study ( | Use of long-acting insulin analogs was not associated with an increased risk of colorectal cancer (HR: 0.96; 95% CI: 0.70-1.34). | |
| But et al. [ | Cohort study ( | Use of insulin glargine and insulin detemir was associated with risk of CRC (RR: 1.54; 95% CI: 1.06-2.25). | |
| Metformin | Zhang et al. [ | Meta-analysis ( | Metformin use was associated with lower risk of CRC (RR: 0.63; 95% CI: 0.50-0.79). |
| Singh et al. [ | Meta-analysis ( | Metformin use was associated with an 11% reduction in CRC (RR: 0.89; 95% CI: 0.81-0.99). | |
| Soranna et al. [ | Meta-analysis ( | Metformin use was associated with significantly decreased risk of CRC (RR: 0.64; 95% CI: 0.54-0.76). | |
| Lee et al. [ | Cohort study ( | Metformin could reduce the incidence of CRC (RR: 0.36; 95% CI: 0.13-0.98). | |
| Lee et al. [ | Cohort study ( | Metformin use was associated with lower risk of overall mortality (HR: 0.66; 95% CI: 0.476-0.923) and CRC-specific mortality (HR: 0.66; 95% CI: 0.45-0.975) in CRC patients with T2DM. | |
| Baglia et al. [ | Cohort study ( | Use of metformin was associated with better overall survival among CRC patients with T2DM (HR: 0.55; 95% CI: 0.34-0.88). | |
| Thiazolidinedione | Singh et al. [ | Meta-analysis ( | TZD use was not associated with CRC risk (OR: 0.96; 95% CI: 0.87-1.05). |
| Colmers et al. [ | Meta-analysis ( | Use of TZDs was associated with decreased risk of CRC (RR: 0.93; 95% CI: 0.87-1.00). | |
| Chang et al. [ | Case-control study ( | Rosiglitazone was associated with reduced risk (OR: 0.86; 95% CI: 0.76-0.96), but such protective benefits has not seen in pioglitazone. | |
| Chen et al. [ | Case-control study ( | TZD use was associated with reduced CRC risk (OR: 0.86; 95% CI: 0.79-0.94). | |
| Liu et al. [ | Meta-analysis ( | TZD use was associated with reduced CRC risk (RR: 0.91; 95% CI: 0.84-0.99). | |
| Govindarajan et al. [ | Cohort study ( | The TZD-associated risk reduction for CRC did not reach statistical significance. | |
| Sulfonylurea | Singh et al. [ | Meta-analysis ( | Sulfonylurea use was not associated with risk of CRC (OR: 1.11; 95% CI: 0.97-1.26). |
| Soranna et al. [ | Meta-analysis ( | Sulfonylurea use was not associated with risk of CRC. | |
| Shin et al. [ | Nested case-control study ( | Glimepiride use increased the risk for CRC (RR: 1.14; 95% CI: 1.06-1.22), whereas gliclazide decreased the risk for CRC (RR: 0.85; 95% CI: 0.72-1.00). | |
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| Tseng et al. [ | Cohort study ( | Acarbose use reduced the risk of CRC in patients with T2DM in a dose-dependent manner (HR: 0.66; 95% CI: 0.59–0.74). |