PTCH1 Gene Variants, mRNA Expression, and Bioinformatics Insights in Mexican Cutaneous Squamous Cell Carcinoma Patients.

BACKGROUND: Skin cancer is one of the most frequent types of cancer, and cutaneous squamous cell carcinoma (cSCC) constitutes 20% of non-melanoma skin cancer (NMSC) cases. PTCH1, a tumor suppressor gene involved in the Sonic hedgehog signaling pathway, plays a crucial role in neoplastic processes. METHODS: An analytical cross-sectional study, encompassing 211 cSCC patients and 290 individuals in a control group (CG), was performed. A subgroup of samples was considered for the relative expression analysis, and the results were obtained using quantitative real-time PCR (qPCR) with TaqMan® probes. The functional, splicing, and disease-causing effects of the proposed variants were explored via bioinformatics. RESULTS: cSCC was predominant in men, especially in sun-exposed areas such as the head and neck. No statistically significant differences were found regarding the rs357564, rs2236405, rs2297086, and rs41313327 variants of PTCH1, or in the risk of cSCC, nor in the mRNA expression between the cSCC group and CG. A functional effect of rs357564 and a disease-causing relation to rs41313327 was identified. CONCLUSION: The proposed variants were not associated with cSCC risk in this Mexican population, but we recognize the need for analyzing larger population groups to elucidate the disease-causing role of rare variants.

Association of the genetic variants (-794 CATT5-8 and -173 G > C) of macrophage migration inhibitory factor (MIF) with higher soluble levels of MIF and TNFα in women with breast cancer.

BACKGROUND: Functional variants -173 G > C (rs755622) and -794CATT5-8 (rs5844572) MIF gene have been associated with the risk in several types of cancer, as well as with the increase of soluble levels of MIF and TNFα. However, in previous studies contradictory and uncertain results have been presented on the implication of MIF polymorphisms with the association in cancer, specifically in breast cancer (BC). We investigated whether the variants are associated with the susceptibility to develop BC and the soluble levels of MIF and TNFα in women with BC from western Mexico. MATERIALS AND METHODS: A total of 152 women with BC and 182 control subjects (CS) were enrolled in this study. The determination of genotypes -173 G > C and -794 CATT5-8 MIF polymorphisms was performed by PCR-RFLP and PCR, respectively. In addition, the soluble levels of MIF and TNFα in both studied groups were quantified by ELISA and MILLIPLEX assay, respectively. RESULTS: The most frequent allele found in BC was the G (74.3%) and 6 (54%) in the variants -173G > C and -794 CATT5-8 , respectively, without significant differences in both groups. Nevertheless, the women with BC carriers -173*C and -794CATT7 have higher levels of MIF in comparison with CS. An increase of MIF (BC: 11.1 ng/mL vs CS: 5.2 ng/mL, P < .001) and TNFα (BC: 24.9 ng/mL vs CS: 9.9 pg/mL, P < .001) was found. CONCLUSION: The functional variants of MIF are not genetic susceptibility markers for BC. Nevertheless, the alleles -173*C and -794CATT7 are associated with the increase of MIF circulating in women with BC.

Circulating soluble levels of MIF in women with breast cancer in the molecular subtypes: relationship with Th17 cytokine profile.

Breast cancer (BC) is a health problem worldwide; there is evidence that inflammatory cytokines are increased in BC. Macrophage migration inhibitory factor (MIF) has multiple effects on immune cells, inflammation and cancer. Besides, in previous studies, contradictory and uncertain results have been presented on the implication of Th17 cytokine profile in BC. The aim of this study was to evaluate the plasma levels of MIF and the Th17 cytokine profile in BC and their association with their molecular subtypes and clinical stage. A total of 150 women with BC of Ella Binational Breast Cancer Study and 60 healthy women (HW) were evaluated in cross-sectional study. The molecular subtypes were identified by immunohistochemistry. The plasma levels of MIF were quantified by ELISA and Th17 cytokine profile by multiplex system. MIF and IL-17 were significantly increased in BC versus HW (11.1 vs. 5.2 ng/mL and 14.8 pg/mL vs. 2.5 pg/mL p < 0.001, respectively). Our analysis showed that both MIF and IL-17A were associated with increased risk of breast cancer (OR 3.85 CI 95% 1.98-7.50 and OR 4.51 95% 1.83-11.15, respectively), higher in aggressive subtypes Luminal B, HER2 and TN. Likewise, we observed positive correlation between MIF and IL-17A (p < 0.001). In addition, IL-17E was lower in BC versus HW (p <0.001). Likewise, we observed a positive correlation between MIF and IL-17A (p < 0.001). In conclusion, both MIF and IL-17A were associated with high risk for breast cancer and aggressive molecular subtypes.