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  • American Association for Cancer Research (AACR)  (3)
  • Medicine  (3)
  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 78, No. 13_Supplement ( 2018-07-01), p. 235-235
    Abstract: Background: Although type 2 diabetes (T2D) has been linked to an increased risk of colorectal cancer (CRC), a causal relationship remains to be established. Also, the influence of hyperglycemia and impaired beta-cell function on CRC remains to be determined. Methods: We performed a Mendelian randomization (MR) study using common single nucleotide polymorphisms (SNPs) identified from prior genome-wide association studies for T2D (78 SNPs), fasting glucose (36 SNPs), glycosylated hemoglobin (HbA1c, 11 SNPs), and homeostatic model assessment for beta-cell function (HOMA-B, 13 SNPs) (all SNPs reached genome-wide significance at 5 x10-8). We first assessed the association of each SNP with CRC risk using logistic regression in 26,357 CRC cases and 20,505 control participants in the Colon Cancer Family Registry, Colorectal Transdisciplinary Study and the Genetics and Epidemiology of Colorectal Cancer Consortium. The MR estimates for the association of each risk factor with CRC were calculated using the inverse-variance weighted method that combines summary data on the association of the SNPs with each trait derived from previous genome-wide association studies. Given the potential sex difference in the relationship of metabolic factors with CRC, all analyses were performed in men and women separately. Results: We did not find any statistically significant association between each of the genetically predicted risk factors and CRC incidence for sex-stratified or combined analyses. The odds ratios (ORs) of CRC associated with genetic risk of T2D were 1.02 (95% confidence interval [CI], 0.95-1.08, P=0.62) in women and 0.96 (95% CI, 0.90-1.03, P=0.25) in men. For fasting glucose, the ORs of CRC associated with one mmol/L increment was 0.91 (95% CI, 0.68-1.20, P=0.49) in women and 1.20 (95% CI, 0.90-1.59, P=0.22) in men, respectively. For HbA1c, the ORs of CRC associated with one percent increment was 0.83 (95% CI, 0.57-1.22, P=0.35) in women and 0.99 (95% CI, 0.67-1.45, P=0.95) in men. For HOMA-B, the ORs of CRC associated with a unit increase in log-transformed measurement was 0.92 (95% CI, 0.53-1.60, P=0.76) in women and 0.77 (95% CI, 0.44-1.35, P=0.36) in men. Conclusion: Our findings do not support a causal association of T2D, impaired beta-cell function, and hyperglycemia with CRC risk. However, the null findings may be due to weak instrument bias since these common SNPs account for only a limited proportion of the inter-individual variation in these glycemic traits. Citation Format: Mingyang Song, Yiwen Lu, Marc Gunter, Neil Murphy, Barbara L. Banbury, Wenjie Ma, Jennifer Prescott, Graham Casey, Stephen B. Gruber, Edward L. Giovannucci, Ulrike Peters, Andrew T. Chan. Type 2 diabetes and glycemic traits in relation to colorectal cancer risk: A Mendelian randomization study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 235.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2018
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
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  • 2
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 15 ( 2023-08-01), p. 2572-2583
    Abstract: Colorectal cancer risk can be impacted by genetic, environmental, and lifestyle factors, including diet and obesity. Gene-environment interactions (G × E) can provide biological insights into the effects of obesity on colorectal cancer risk. Here, we assessed potential genome-wide G × E interactions between body mass index (BMI) and common SNPs for colorectal cancer risk using data from 36,415 colorectal cancer cases and 48,451 controls from three international colorectal cancer consortia (CCFR, CORECT, and GECCO). The G × E tests included the conventional logistic regression using multiplicative terms (one degree of freedom, 1DF test), the two-step EDGE method, and the joint 3DF test, each of which is powerful for detecting G × E interactions under specific conditions. BMI was associated with higher colorectal cancer risk. The two-step approach revealed a statistically significant G×BMI interaction located within the Formin 1/Gremlin 1 (FMN1/GREM1) gene region (rs58349661). This SNP was also identified by the 3DF test, with a suggestive statistical significance in the 1DF test. Among participants with the CC genotype of rs58349661, overweight and obesity categories were associated with higher colorectal cancer risk, whereas null associations were observed across BMI categories in those with the TT genotype. Using data from three large international consortia, this study discovered a locus in the FMN1/GREM1 gene region that interacts with BMI on the association with colorectal cancer risk. Further studies should examine the potential mechanisms through which this locus modifies the etiologic link between obesity and colorectal cancer. Significance: This gene-environment interaction analysis revealed a genetic locus in FMN1/GREM1 that interacts with body mass index in colorectal cancer risk, suggesting potential implications for precision prevention strategies.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    Location Call Number Limitation Availability
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  • 3
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 28, No. 8 ( 2022-04-14), p. 1701-1711
    Abstract: To characterize changes in the soft-tissue sarcoma (STS) tumor immune microenvironment induced by standard neoadjuvant therapy with the goal of informing neoadjuvant immunotherapy trial design. Experimental Design: Paired pre- and postneoadjuvant therapy specimens were retrospectively identified for 32 patients with STSs and analyzed by three modalities: multiplexed IHC, NanoString, and RNA sequencing with ImmunoPrism analysis. Results: All 32 patients, representing a variety of STS histologic subtypes, received neoadjuvant radiotherapy and 21 (66%) received chemotherapy prior to radiotherapy. The most prevalent immune cells in the tumor before neoadjuvant therapy were myeloid cells (45% of all immune cells) and B cells (37%), with T (13%) and natural killer (NK) cells (5%) also present. Neoadjuvant therapy significantly increased the total immune cells infiltrating the tumors across all histologic subtypes for patients receiving neoadjuvant radiotherapy with or without chemotherapy. An increase in the percentage of monocytes and macrophages, particularly M2 macrophages, B cells, and CD4+ T cells was observed postneoadjuvant therapy. Upregulation of genes and cytokines associated with antigen presentation was also observed, and a favorable pathologic response (≥90% necrosis postneoadjuvant therapy) was associated with an increase in monocytic infiltrate. Upregulation of the T-cell checkpoint TIM3 and downregulation of OX40 were observed posttreatment. Conclusions: Standard neoadjuvant therapy induces both immunostimulatory and immunosuppressive effects within a complex sarcoma microenvironment dominated by myeloid and B cells. This work informs ongoing efforts to incorporate immune checkpoint inhibitors and novel immunotherapies into the neoadjuvant setting for STSs.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
    detail.hit.zdb_id: 1225457-5
    detail.hit.zdb_id: 2036787-9
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