Breast cancer incidence rates are characterized by unique racial and ethnic differences. Native American ancestry has been associated with reduced breast cancer risk. We explore the biological basis of disparities in breast cancer risk in Hispanic and non-Hispanic white women by evaluating genetic variation in genes involved in inflammation, insulin and energy homeostasis in conjunction with genetic ancestry. Hispanic (2111 cases, 2597 controls) and non-Hispanic white (1481 cases, 1586 controls) women enrolled in the 4-Corner's Breast Cancer Study, the Mexico Breast Cancer Study and the San Francisco Bay Area Breast Cancer Study were included. Genetic admixture was determined from 104 ancestral informative markers that discriminate between European and Native American ancestry. Twenty-one genes in the CHIEF candidate pathway were evaluated. Higher Native American ancestry was associated with reduced risk of breast cancer (odds ratio = 0.79, 95% confidence interval 0.65, 0.95) but was limited to postmenopausal women (odds ratio = 0.66, 95% confidence interval 0.52, 0.85). After adjusting for genetic ancestry and multiple comparisons, four genes were significantly associated with breast cancer risk, NFκB1, NFκB1A, PTEN and STK11. Within admixture strata, breast cancer risk among women with low Native American ancestry was associated with IkBKB, NFκB1, PTEN and RPS6KA2, whereas among women with high Native American ancestry, breast cancer risk was associated with IkBKB, mTOR, PDK2, PRKAA1, RPS6KA2 and TSC1. Higher Native American ancestry was associated with reduced breast cancer risk. Breast cancer risk differed by genetic ancestry along with genetic variation in genes involved in inflammation, insulin, and energy homeostasis.

The Janus kinase (JAK)/signal transducer and activator of transcription (STAT) signaling pathway is involved in immune function and cell growth. We evaluated the association between genetic variation in JAK1 (10 SNPs), JAK2 (9 SNPs), TYK2 (5 SNPs), SOCS1 (2 SNPs), SOCS2 (2 SNPs), STAT1 (16 SNPs), STAT2 (2 SNPs), STAT3 (6 SNPs), STAT4 (21 SNPs), STAT5A (2 SNPs), STAT5B (3 SNPs), STAT6 (4 SNPs) with risk of colorectal cancer. We used data from population-based case-control studies (colon cancer n=1555 cases, 1956 controls; rectal cancer n=754 cases, 959 controls). JAK2, SOCS2, STAT1, STAT3, STAT5A, STAT5B, and STAT6 were associated with colon cancer; STAT3, STAT4, STAT6, and TYK2 were associated with rectal cancer. Given the biological role of the JAK/STAT-signaling pathway and cytokines, we evaluated interaction with IFNG, TNF, and IL6; numerous statistically significant associations after adjustment for multiple comparisons were observed. The following statistically significant interactions were observed: TYK2 with aspirin/NSAID use; STAT1, STAT4, and TYK2 with estrogen status; and JAK2, STAT2, STAT4, STAT5A, STAT5B, and STAT6 with smoking status and colon cancer risk; JAK2, STAT6, and TYK2 with aspirin/NSAID use; JAK1 with estrogen status; STAT2 with cigarette smoking and rectal cancer. JAK2, SOCS1, STAT3, STAT5, and TYK2 were associated with colon cancer survival (HRR of 3.3 95% CI 2.01, 5.42 for high mutational load). JAK2, SOCS1, STAT1, STAT4, and TYK2 were associated with rectal cancer survival (HRR 2.80 95 %CI 1.63, 4.80). These data support the importance of the JAK/STAT-signaling pathway in colorectal cancer and suggest targets for intervention.

Telomeres are involved in maintaining genomic stability. Previous studies have linked both telomere length (TL) and telomere-related genes with cancer. We evaluated associations between telomere-related genes, TL, and breast cancer risk in an admixed population of US non-Hispanic white (1,481 cases, 1,586 controls) and U.S. Hispanic and Mexican women (2,111 cases, 2,597 controls) from the Breast Cancer Health Disparities Study. TL was assessed in 1,500 women based on their genetic ancestry. TL-related genes assessed were MEN1, MRE11A, RECQL5, TEP1, TERC, TERF2, TERT, TNKS, and TNKS2. Longer TL was associated with increased breast cancer risk [odds ratio (OR) 1.87, 95% confidence interval (CI) 1.38, 2.55], with the highest risk (OR 3.11, 95% CI 1.74, 5.67 p interaction 0.02) among women with high Indigenous American ancestry. Several TL-related single nucleotide polymorphisms had modest association with breast cancer risk overall, including TEP1 rs93886 (OR 0.82, 95% CI 0.70,0.95); TERF2 rs3785074 (OR 1.13, 95% CI 1.03,1.24); TERT rs4246742 (OR 0.85, 95% CI 0.77,0.93); TERT rs10069690 (OR 1.13, 95% CI 1.03,1.24); TERT rs2242652 (OR 1.51, 95% CI 1.11,2.04); and TNKS rs6990300 (OR 0.89, 95% CI 0.81,0.97). Several differences in association were detected by hormone receptor status of tumors. Most notable were associations with TERT rs2736118 (ORadj 6.18, 95% CI 2.90, 13.19) with estrogen receptor negative/progesterone receptor positive (ER−/PR+) tumors and TERT rs2735940 (ORadj 0.73, 95% CI 0.59, 0.91) with ER−/PR− tumors. These data provide support for an association between TL and TL-related genes and risk of breast cancer. The association may be modified by hormone receptor status and genetic ancestry.

Interferons (IFNs) are proteins involved in many functions including antiviral and antimicrobial response, apoptosis, cell cycle control and mediating other cytokines. IFN gamma (IFNG) is a proinflammatory cytokine that modulates many immune-related genes. In this study we examine genetic variation in IFNG, IFNGR1, IFNGR2 and interferon regulatory factors (IRFs) to determine associations with colon and rectal cancer and survival after diagnosis. We include data from two population-based incident studies of colon cancer (1555 cases and 1956 controls) and rectal cancer (754 cases and 959 controls). Five tagSNPs in IFNG, IRF2 and IRF3 were associated with colon cancer and eight tagSNPs in IFNGR1, IFNGR2, IRF2, IRF4, IRF6 and IRF8 were associated with rectal cancer. IRF3 rs2304204 was associated with the strongest direct association and IRF2 3775554 with the strongest inverse association for colon cancer [odds ratios (ORs) 1.43, 95% confidence interval (CI) 1.12-1.82 for recessive model and 0.52, 95% CI 0.28-0.97 for unrestricted model]. For rectal cancer, IFNGR1 rs3799488 was directly associated with risk (OR 2.30, 95% CI 1.04-5.09 for recessive model), whereas IRF6 rs861020 was inversely associated with risk (OR 0.57, 95% CI 0.34-0.95). Several single-nucleotide polymorphisms interacted significant with both NF-κB1 and IL6 and with aspirin/non-steroidal anti-inflammatory drugs and cigarette smoking. Using a summary score to estimate mutational load, we observed a hazard rate ratio (HRR) close to 5.00 (95% CI 2.73-8.99) for both colon and rectal (HRR 4.83, 95% CI 2.34-10.05) cancer for those in the category having the most at-risk genotypes. These data suggest the importance of IFN-signaling pathway on colon and rectal cancer risk and survival after diagnosis.

Mitogen-activated protein kinase (MAPK) pathways regulate many cellular functions including cell proliferation, differentiation, migration and apoptosis. We evaluate genetic variation in the c-Jun-N-terminal kinases, p38, and extracellular regulated kinases 1/2 MAPK-signaling pathways and colon and rectal cancer risk using data from population-based case-control studies (colon: n = 1555 cases, 1956 controls; rectal: n = 754 cases, 959 controls). We assess 19 genes (DUSP1, DUSP2, DUSP4, DUSP6, DUSP7, MAP2K1, MAP3K1, MAP3K2, MAP3K3, MAP3K7, MAP3K9, MAP3K10, MAP3K11, MAPK1, MAPK3, MAPK8, MAPK12, MAPK14 and RAF1). MAP2K1 rs8039880 [odds ratio (OR) = 0.57, 95% confidence interval (CI) = 0.38, 0.83; GG versus AA genotype] and MAP3K9 rs11625206 (OR = 1.41, 95% CI = 1.14, 1.76; recessive model) were associated with colon cancer (P (adj) value < 0.05). DUSP1 rs322351 (OR = 1.43, 95% CI = 1.09, 1.88; TT versus CC) and MAPK8 rs10857561 (OR = 1.48, 95% CI 1.08, 2.03; AA versus GG/GA) were associated with rectal cancer (P (adj) < 0.05). Aspirin/non-steroidal anti-inflammatory drug, cigarette smoking and body mass index interacted with several genes to alter cancer risk. Genetic variants had unique associations with KRAS, TP53 and CIMP+ tumors. DUSP2 rs1724120 [hazard rate ratio (HRR) = 0.72, 95%CI = 0.54, 0.96; AA versus GG/GA), MAP3K10 rs112956 (HRR = 1.40, 95% CI = 1.10, 1.76; CT/TT versus CC) and MAP3K11 (HRR = 1.76, 95% CI 1.18, 2.62 TT versus GG/GT) influenced survival after diagnosis with colon cancer; MAP2K1 rs8039880 (HRR = 2.53, 95% CI 1.34, 4.79 GG versus AG/GG) and Raf1 rs11923427 (HRR = 0.59 95% CI = 0.40, 0.86; AA versus TT/TA) were associated with rectal cancer survival. These data suggest that genetic variation in the MAPK-signaling pathway influences colorectal cancer risk and survival after diagnosis. Associations may be modified by lifestyle factors that influence inflammation and oxidative stress.

Matrix metalloproteinases (MMPs) contribute to cancer through their involvement in cancer invasion and metastasis. We evaluated genetic variation in MMP1 (9 SNPs), MMP2 (8 SNPs), MMP3 (4 SNPs), and MMP9 (3 SNPs) and breast cancer risk among Hispanic (2111 cases, 2597 controls) and non-Hispanic white (NHW) (1481 cases, 1586 controls) women in the Breast Cancer Health Disparities Study. Ancestral informative markers (n = 104) were assessed to determine Native American (NA) ancestry. MMP1 [4 single nucleotide polymorphisms (SNPs)] and MMP2 (2 SNPs) were associated with breast cancer overall. MMP1 rs996999 had strongest associations among women with the most NA ancestry (OR 1.61,95% CI 1.09,2.40) as did MMP3 rs650108 (OR 1.36, 95% CI 1.05,1.75) and MMP9 rs3787268 (OR 1.52, 95% CI 1.09,2.13). The adaptive rank truncated product (ARTP) showed a significant pathway partp value of 0.04, with a stronger association among women with the most NA ancestry (partp = 0.02). Significant pathway genes using the ARTP were MMP1 for all women (partp = 0.02) and MMP9 for women with the most NA ancestry (partp = 0.024); MMP2 was borderline significant overall (partp = 0.06) and MMP1 and MMP3 were borderline significant for women with the most NA ancestry (partp = 0.07 and 0.06 respectively). MMP1 and MMP2 were associated with ER+/PR+ and ER+/PR-tumors; MMP3 and MMP9 were associated with ER−/PR− tumors. The pathway was highly significant with survival (partp = 0.0041) with MMP2 having the strongest gene association (partp = 0.0007). Our findings suggest that genetic variation in MMP genes influence breast cancer development and survival in this genetically admixed population.

Serine/threonine protein kinase 11 (STK11) and phosphatase tensin homolog deleted on chromosome 10 (PTEN) link insulin sensitivity and metabolic signaling to inflammation and other hormonal factors and colorectal cancer. We evaluate genetic variation in nine genes in a candidate pathway as follows: STK11 (3 tagSNPs), PTEN (9 tagSNPs), FRAP1 (mTOR) (4 tagSNPs), TSC1 (14 tagSNPs), TSC2 (8 tagSNPs), Akt1 (2 tagSNPs), PIK3CA (7 tagSNPs), PRKAA1 (13 tagSNPs) and PRKAG2 (68 tagSNPs) in two population-based case-control studies of colon (n = 1574 cases, 1940 controls) and rectal (n = 91 cases, 999 controls) cancer. FRAP1, PRKAA1, PRKAG2 and TSC2 genes were significantly associated with colon cancer; risk estimates ranged from 1.21 [95% confidence interval (CI) 1.05-1.38] for FRAP1rs1057079 for the AG/GG genotype to 1.51 (95% CI 1.09-2.09) for PRKAG2rs9648723 CC genotype. PIK3CA, PRKAG2, PTEN, STK11 and TSC1 were significantly associated with rectal cancer overall. The strongest association was observed for PIK3CA rs7651265 GG genotype (odds ratio 2.32 95% CI 1.02-5.30). FRAP1 was associated with microsatellite instability (MSI)+ colon tumors; PRKAA1, CpG island methylator phenotype (CIMP)+ and MSI+ colon tumors; PRKAG2 and KRAS2 colon tumors; TSC1 and CIMP+ and MSI+ colon tumors; TSC2 with MSI+ colon tumors; PIK3CA with KRAS2-mutated rectal tumors; PRKAG2 (rs6964824) with KRAS2- and TP53-mutated rectal tumors and with PRKAG2 (rs412396 and rs4725431) with CIMP+ rectal tumors. These data suggest that genetic variation in a predefined candidate pathway for colorectal cancer contributes to both colon and rectal cancer risk. Associations appear to be strongest for CIMP+ and MSI+ tumors.

The Runt-related transcription factors (RUNX), mitogen-activated protein kinase (MAPK) 1 and eukaryotic translation initiation factor 4E (eIF4E) are potentially involved in tumorigenesis. We evaluated genetic variation in RUNX1 (40 tagSNPs), RUNX2 (19 tagSNPs), RUNX3 (9 tagSNPs), MAPK1 (6 tagSNPs), eIF4E (3 tagSNPs), eIF4EBP2 (2 tagSNP) and eIF4EBP3 (2 tagSNPs) to determine associations with colorectal cancer (CRC). We used data from population-based studies (colon cancer n = 1555 cases, 1956 controls; rectal cancer n = 754 cases, 959 controls with complete genotype data). Four statistically significant tagSNPs were identified with colon cancer and three tagSNPs were identified with rectal cancer. Whereas the independent risk estimates for each of the tagSNPs ranged from 1.21 to 1.52, the combined risk was greater than additive for any of the three combined high-risk genotypes {combined risk range 1.98 [95% confidence interval (CI) 1.45, 2.70] for eIF4E, RUNX1 and RUNX3 to 3.32 [95% CI 1.34, 8.23] for eIF43, RUNX2 and RUNX3}. For rectal cancer, the strongest association was detected for the combined genotype of RUNX1 and RUNX3 (odds ratio 1.87 95% CI 1.22, 2.87). Associations with specific molecular tumor phenotypes showed consistent and strong associations for CIMP+/MSI+ tumors where the risk estimates were consistently >10-fold and lower confidence bounds were over 3.00 for high-risk genotypes defined by RUNX1, RUNX2 and RUNX3. For CIMP+/KRAS2-mutated colon tumors, the combined risk for high-risk genotypes of RUNX2, eIF4E and RUNX1 was 7.47 (95% CI 1.58, 35.3). Although the associations need confirmation, the findings and their internal consistency underline the importance of genetic variation in these genes for the etiology of CRC.