Toxoplasma gondii suppresses proliferation and migration of breast cancer cells by regulating their transcriptome.

BACKGROUND: Breast cancer is the most common cancer in women worldwide. Toxoplasma gondii (T. gondii) has shown anticancer activity in breast cancer mouse models, and exerted beneficial effect on the survival of breast cancer patients, but the mechanism was unclear. METHODS: The effect of tachyzoites of T. gondii (RH and ME49 strains) on human breast cancer cells (MCF-7 and MDA-MB-231 cells) proliferation and migration was assessed using cell growth curve and wound healing assays. Dual RNA-seq was performed for T. gondii-infected and non-infected cells to determine the differentially expressed genes (DEGs). Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Protein-Protein Interaction Networks analysis (PPI) were performed to explore the related signaling pathway and hub genes. Hub genes were validated using the Kaplan-Meier plotter database, and Pathogen Host Interaction (PHI-base) database. The results were verified by qRT-PCR. RESULTS: The tachyzoites of T. gondii decreased the expression of Ki67 and increased the expression of E-cadherin, resulting in suppressing the proliferation and migration of infected human breast cancer cells. The inhibitory effect of T. gondii on breast cancer cells showed a significant dose-response relationship. Compared with the control group, 2321 genes were transcriptionally regulated in MCF-7 cells infected with T. gondii, while 169 genes were transcriptionally regulated in infected MDA-MB-231 cells. Among these genes, 698 genes in infected MCF-7 cells and 67 genes in infected MDA-MB-231 cells were validated by the publicly available database. GO and KEGG analyses suggested that several pathways were involved in anticancer function of T. gondii, such as ribosome, interleukin-17 signaling, coronavirus disease pathway, and breast cancer pathway. BRCA1, MYC and IL-6 were identified as the top three hub genes in infected-breast cancer cells based on the connectivity of PPI analysis. In addition, after interacting with breast cancer cells, the expression of ROP16 and ROP18 in T. gondii increased, while the expression of crt, TgIST, GRA15, GRA24 and MIC13 decreased. CONCLUSIONS: T. gondii transcriptionally regulates several signaling pathways by altering the hub genes such as BRCA1, MYC and IL-6, which can inhibit the breast tumor growth and migration, hinting at a potential therapeutic strategy.

Deep Learning-Based Classification of Hepatocellular Nodular Lesions on Whole-Slide Histopathologic Images.

BACKGROUND & AIMS: Hepatocellular nodular lesions (HNLs) constitute a heterogeneous group of disorders. Differential diagnosis among these lesions, especially high-grade dysplastic nodules (HGDNs) and well-differentiated hepatocellular carcinoma (WD-HCC), can be challenging, let alone biopsy specimens. We aimed to develop a deep learning system to solve these puzzles, improving the histopathologic diagnosis of HNLs (WD-HCC, HGDN, low-grade DN, focal nodular hyperplasia, hepatocellular adenoma), and background tissues (nodular cirrhosis, normal liver tissue). METHODS: The samples consisting of surgical and biopsy specimens were collected from 6 hospitals. Each specimen was reviewed by 2 to 3 subspecialists. Four deep neural networks (ResNet50, InceptionV3, Xception, and the Ensemble) were used. Their performances were evaluated by confusion matrix, receiver operating characteristic curve, classification map, and heat map. The predictive efficiency of the optimal model was further verified by comparing with that of 9 pathologists. RESULTS: We obtained 213,280 patches from 1115 whole-slide images of 738 patients. An optimal model was finally chosen based on F1 score and area under the curve value, named hepatocellular-nodular artificial intelligence model (HnAIM), with the overall 7-category area under the curve of 0.935 in the independent external validation cohort. For biopsy specimens, the agreement rate with subspecialists' majority opinion was higher for HnAIM than 9 pathologists on both patch level and whole-slide images level. CONCLUSIONS: We first developed a deep learning diagnostic model for HNLs, which performed well and contributed to enhancing the diagnosis rate of early HCC and risk stratification of patients with HNLs. Furthermore, HnAIM had significant advantages in patch-level recognition, with important diagnostic implications for fragmentary or scarce biopsy specimens.

AGR2 and FOXA1 as prognostic markers in ER-positive breast cancer.

BACKGROUND: The prognostic role of either forkhead box A1 (FOXA1) or anterior gradient 2 (AGR2) in breast cancer has been found separately. Considering that there were interplays between them depending on ER status, we aimed to assess the statistical interaction between AGR2 and FOXA1 on breast cancer prognosis and examine the prognostic role of the combination of them by ER status. METHODS: AGR2 and FOXA1 expression in tumor tissues were evaluated with tissue microarrays by immunohistochemistry in 915 breast cancer patients with follow up data. The expression levels of these two markers were treated as binary variables, and many different cutoff values were tried for each marker. Survival and Cox proportional hazard analyses were used to evaluate the relationship between AGR2, FOXA1 and prognosis, and the statistical interaction between them on the prognosis was assessed on multiplicative scale. RESULTS: Statistical interaction between AGR2 and FOXA1 on the PFS was significant with all the cutoff points in ER-positive breast cancer patients but not ER-negative ones. Among ER-positive patients, the poor prognostic role of the high level of FOXA1 was significant only in patients with the low level of AGR2, and vice versa. When AGR2 and FOXA1 were considered together, patients with low levels of both markers had significantly longer PFS compared with all other groups. CONCLUSIONS: There was a statistical interaction between AGR2 and FOXA1 on the prognosis of ER-positive breast cancer. The combination of AGR2 and FOXA1 was a more useful marker for the prognosis of ER-positive breast cancer patients.

Interaction of reproductive tract infections with estrogen exposure on breast cancer risk and prognosis.

BACKGROUND: Reproductive tract infections influenced a series of inflammatory processes which involved in the development of breast cancer, while the processes were largely affected by estrogen. The present study aimed to explore the associations of breast cancer risk and prognosis with reproductive tract infections and the modification effects of estrogen exposure. METHODS: We collected history of reproductive tract infections, menstruation and reproduction from 1003 cases and 1107 controls and a cohort of 4264 breast cancer patients during 2008-2018 in Guangzhou, China. We used logistic regression model to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for risk; Cox model was applied to estimate the hazard ratios (HRs) and 95% CIs for progression-free survival (PFS) and overall survival (OS). RESULTS: It was found that previous reproductive tract infections were negatively associated with breast cancer risk (OR = 0.80, 95%CI, 0.65-0.98), particularly for patients with more menstrual cycles (OR = 0.74, 95%CI, 0.57-0.96). Patients with previous reproductive tract infections experienced better OS (HR = 0.61; 95% CI, 0.40-0.94) and PFS (HR = 0.84; 95% CI, 0.65-1.09). This protective effect on PFS was only found in patients with more menstrual cycles (HR = 0.52, 95% CI:0.34-0.79, Pinteraction = 0.015). CONCLUSIONS: The findings suggested that reproductive tract infections may be protective for the initiation and development of breast cancer, particularly for women with a longer interval of lifetime estrogen exposure.

Combined low levels of H4K16ac and H4K20me3 predicts poor prognosis in breast cancer.

BACKGROUND: Results of previous studies about the prognostic roles of histone H4 lysine 16 acetylation (H4K16ac) and histone H4 lysine 20 trimethylation (H4K20me3) in breast cancer were inconsistent. Cellular experiments revealed the interplays between H4K16ac and H4K20me3, but no population study explored the interaction between them on the prognosis. METHODS: H4K16ac and H4K20me3 levels in tumors were evaluated by immunohistochemistry for 958 breast cancer patients. Hazard ratios for overall survival (OS) and progression-free survival (PFS) were estimated using Cox regression models. Interaction was assessed on multiplicative scale. Concordance index (C-index) was calculated to verify the predictive performance. RESULTS: The prognostic roles of the low level of H4K16ac or H4K20me3 were significant only in patients with the low level of another marker and their interactions were significant. Moreover, compared with joint high levels of both them, only the combined low levels of both them was associated with a poor prognosis but not the low level of single one. The C-index of the clinicopathological model combined the joint expression of H4K16ac and H4K20me3 [0.739 for OS; 0.672 for PFS] was significantly larger than that of the single clinicopathological model [0.699 for OS, P < 0.001; 0.642 for PFS, P = 0.003] or the model combined with the single H4K16ac [0.712 for OS, P < 0.001; 0.646 for PFS, P < 0.001] or H4K20me3 [0.724 for OS, P = 0.031; 0.662 for PFS, P = 0.006]. CONCLUSIONS: There was an interaction between H4K16ac and H4K20me3 on the prognosis of breast cancer and the combination of them was a superior prognostic marker compared to the single one.

Association between weight change and breast cancer prognosis.

PURPOSE: Results of the associations between weight change after breast cancer diagnosis and prognosis were inconsistent. The modification effects of menopausal status and endocrine therapy on the associations remain poorly understood. METHODS: A total of 2016 breast cancer patients were recruited between October 2008 and January 2018 and followed up until December 31, 2019 in Guangzhou. Multivariate Cox models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (95% CIs) for progression-free survival (PFS) in association with weight change after diagnosis. RESULTS: Weight loss at 2 years (HR = 1.34, 95% CI 0.87-2.06) or more than 2 years (HR = 1.95, 95% CI 1.22-3.10) after diagnosis increased risk of breast cancer progression. The adverse effect of weight loss was significantly more pronounced in post-menopausal than pre-menopausal women, particularly for weight loss at 2 years after diagnosis, with the HRs and 95% CIs of 2.41 (1.25-4.63) and 0.90 (0.49-1.64), respectively. Weight gain tended to reduce the risk of disease progression among patients with endocrine therapy but not for those with non-endocrine therapy; the significant interaction between weight gain at 2 years after diagnosis and endocrine therapy was observed (Pinteraction = 0.042). CONCLUSION: Our finding suggested that weight loss was detrimental to breast cancer prognosis, particularly for post-menopausal women, while weight gain may be a potential beneficial indicator for the patients with endocrine therapy but not for those with non-endocrine therapy.

Liver involvement in patients with erythropoietic protoporphyria: retrospective analysis of clinicopathological features of 5 cases.

Erythropoietic protoporphyria (EPP) is a rare inherited disease whose morbidity is about 1:75,000 to 1:200,000. It is caused by the deficiency of porphyrin ferrochelatase (FECH). Liver involvement in EPP is even rarer. The diagnosis of EPP with liver involvement mainly relies on clinical manifestations, laboratory examinations, histopathological examinations and genetic testing, which is still a huge challenge for both clinicians and pathologists. Here, 5 cases of EPP with liver injury were collected, and the clinicopathological features of these patients were analyzed. The clinical manifestations and laboratory examinations varied from person to person, whereas the liver biopsies showed that there were dark brown deposits within the hepatocytes, Kupffer cells, bile canaliculi and the lumen of bile ducts, which was a constant finding by histopathological examination. Gene tests were conducted in two of the five cases, and the results confirmed the diagnosis. Fully understanding of the diseases can help us reduce the rate of missed diagnosis and provide proper treatment as early as possible.

Time-varying effects of FOXA1 on breast cancer prognosis.

PURPOSE: Results of previous studies on the associations between Forkhead box A1 (FOXA1) expression in breast cancer tissues and the prognosis varied depending on the follow-up durations. The present study would investigate whether there is a time-varying effect of FOXA1 in breast cancer tissues on the prognosis. METHODS: FOXA1 expressions were evaluated in 1041 primary invasive breast tumors with tissue microarrays by immunohistochemistry. Cox models with restricted cubic splines and Kaplan-Meier survival analysis were used to examine the associations between FOXA1 and the prognosis. Flexible parametric models were applied to explore the time-varying effect of FOXA1. RESULTS: Overall, the association between FOXA1 expression and the prognosis was not significant but varied on the time of follow-up. Compared to FOXA1 ≤ 270 of H-score, the hazard ratios (HRs) of death for those with 271-285 of FOXA1 expression increased from 0.35 (95% CI 0.14-0.86) at 6 months after diagnosis to 2.88 (95% CI 1.35-6.15) at 120 months with a crossover at around 36 months. Similar patterns were also observed for FOXA1 > 285 of H-score and for progression free survival (PFS). Moreover, when allowed both FOXA1 and estrogen receptor (ER) to change over time in the model (considering that ER had a similar time-varying effect), these time-varying effects remained for FOXA1 on both overall survival (OS) (P < 0.01) and PFS (P = 0.01) but were attenuated for ER (P = 0.13 for OS). CONCLUSIONS: This study revealed an independent time-varying effect of FOXA1 on breast cancer prognosis, which would provide an insight into the roles of FOXA1 as a marker of breast cancer prognosis and may help optimize the medication strategies.

Effects of tea consumption and the interactions with lipids on breast cancer survival.

PURPOSE: The effect of tea consumption on breast cancer survival remained to be explored. Meanwhile, green tea favorably facilitates lipid metabolisms in breast cancer survivors. This study aimed to examine the effect of tea consumption and the interactions with lipids on breast cancer survival. METHODS: A total of 1551 breast cancer patients were recruited between April 2008 and March 2012 and followed up until 31 December 2017 in Guangzhou. The endpoint was progression-free survival (PFS). Hazard ratios (HR) and 95% confidence intervals (CI) were calculated using multivariate Cox proportional to estimate the associations. RESULTS: PFS was better among women who regularly drank all teas (mainly green tea) except oolong after cancer diagnosis compared with non-tea drinkers (HR 0.52; 95% CI 0.29 ~ 0.91). This association was more evident among women with normal (HR 0.38; 95% CI 0.18 ~ 0.82) than higher (HR 1.22; 95% CI 0.13 ~ 11.82) total cholesterol, though the interaction was not significant. Moreover, the more they drank (≥ 7 times/week), the better prognosis was (HR 0.30; 95% CI 0.11 ~ 0.84). In contrast, oolong tea was observed to have a potential impaired effect on PFS. CONCLUSIONS: Our findings suggested that regularly drinking all teas (mainly green tea) except oolong after diagnosis was beneficial to breast cancer survival, particularly for women with normal lipids, while oolong tea may have an impaired effect.

Decelerated DNA methylation age predicts poor prognosis of breast cancer.

BACKGROUND: DNA methylation (DNAm) age was found to be an indicator for all-cause mortality, cancer incidence, and longevity, but no study has involved in the associations of DNAm age with the prognosis of breast cancer. METHODS: We retrieved information of 1076 breast cancer patients from Genomic Data Commons (GDC) data portal on March 30, 2017, including breast cancer DNAm profiling, demographic features, clinicopathological parameters, recurrence, and all-cause fatality. Horvath's method was applied to calculate the DNAm age. Cox proportional hazards regression models were used to test the associations between DNAm age of the cancerous tissues and the prognosis (recurrence of breast cancer and all-cause fatality) with or without adjusting for chronological age and clinicopathological parameters. RESULTS: The DNAm age was markedly decelerated in the patients who were premenopausal, ER or PR negative, HER2-enriched or basal-like than their counterparts. In the first five-year follow-up dataset for survival, every ten-year increase in DNAm age was associated with a 15% decrease in fatality; subjects with DNAm age in the second (HR: 0.52; 95%CI: 0.29-0.92), the third (HR: 0.49; 95%CI: 0.27-0.87) and the fourth quartile (HR: 0.38; 95%CI: 0.20-0.72) had significant longer survival time than those in the first quartile. In the first five-year follow-up dataset for recurrence, every ten-year increase in DNAm age was associated with a 14% decrease of the recurrence; in the categorical analysis, a clear dose-response was shown (P for trend =0.02) and the fourth quartile was associated with a longer recurrence free survival (HR: 0.32; 95%CI: 0.14-0.74). In the full follow-up dataset, similar results were obtained. CONCLUSIONS: DNAm age of breast cancer tissue, which associated with menopausal status and pathological features, was a strong independent predictor of the prognosis. It was suggested that the prognosis of breast cancer was related to intrinsic biological changes and specific molecular targets for treatment of breast cancer may be implicit.

Polymorphisms in homologous recombination repair genes and the risk and survival of breast cancer.

BACKGROUND: Immunoglobulin (Ig)A antibody of Epstein-Barr virus (EBV) was found to associate with breast cancer (BC), whereas IgA positivity was related to a series of genetic markers in the genes of homologous recombination repair system (HRRs). We assessed the associations of the polymorphisms in HRR genes with the risk and survival of BC. METHODS: A case-control study was conducted with 1551 bc cases and 1605 age-matched healthy controls between October 2008 and March 2012 in the Guangzhou Breast Cancer Study (GZBCS), China, and the case population were followed up until 31 January 2016. Five single nucleotide polymorphisms of candidate genes in HRR system were genotyped. Odds ratios (ORs) and hazards ratios (HRs) were calculated using multivariate logistic regression and Cox proportional hazards regression to estimate the risk and prognostic effect, respectively. RESULTS: RFC1 rs6829064 (AA) was associated with an increased BC risk [OR = 1.35; 95% confidence interval (CI) = 1.06-1.73] compared to the wild genotype (GG). NRM rs1075496 (GT/TT versus GG) was associated with a worse progression-free survival (PFS) and the HR was 1.34 (95% CI = 1.01-1.78), particularly among advanced patients. LIG3 rs1052536 (CT/TT versus CC) was associated with a better PFS and the HR was 0.70 (95% CI = 0.53-0.93). However, RAD54L rs1710286 and RPA1 rs11078676 were not observed to be associated with either the risk or survival of BC. CONCLUSIONS: The findings of the present study suggest that the polymorphisms in HRR genes were associated with BC risk (RFC1 rs6829064) and prognosis (NRM rs1075496 and LIG3 rs1052536), whereas RAD54L rs1710286 and RPA1 rs11078676 had null associations with BC.

Allelic expression imbalance polymorphisms in susceptibility chromosome regions and the risk and survival of breast cancer.

Allelic expression imbalance (AEI) has been applied to indicate potential function of genetic variants. Combining earlier results from global differential allele-specific expression analysis and genome wide association studies (GWASs), we select the single nuclear polymorphisms (SNPs) exhibiting AEI phenomenon located in breast cancer susceptibility chromosome regions, and evaluate their associations with breast cancer risk and survival. We examined the genotypes of 10 AEI SNPs in 1551 incident breast cancer cases and 1605 age-frequency matched controls from Guangzhou, China. In total, 1168 cases were followed up. MUC16 rs2591592 (AT/AA vs. TT) was associated with an increased risk of premenopausal breast cancer (OR [95%CI]: 1.30 [1.07, 1.57]); SLAMF1 rs1061217 (CT/TT vs. CC) decreased the risk of breast cancer among overweight women (OR [95%CI]: 0.74 [0.57, 0.96]) but increased the risk among normal-weight women (OR [95%CI]: 1.15 [1.01, 1.39]); ZNF331 rs8109631 (AG/AA vs. GG) and CHRAC1 rs10216653 (GC/GG vs. CC) were associated with progression free survival among breast cancer patients with negative ER/PR status and higher clinical stage (HRs [95%CIs]: 2.39 [1.14, 5.00], 1.85 [1.03, 3.32], and 0.49 [0.30, 0.80], respectively). ZNF331 rs8109631 and CHRAC1 rs10216653 were further found to represent several functional SNPs through bioinformatic analysis. In conclusion, our findings demonstrated suggestive associations of AEI polymorphisms with breast cancer risk (MUC16 rs2591592 and SLAMF1 rs1061217) and prognosis (ZNF331 rs8109631 and CHRAC1 rs10216653). © 2016 Wiley Periodicals, Inc.

Genetic variants in EBV reactivation-related genes and the risk and survival of breast cancer.

Tumor susceptibility gene 101 (TSG101) and activating transcription factor 2 (ATF2) have been suggested to involve in the reactivation of EBV which has implications in the development and progression of breast cancer. Therefore, the polymorphisms of TSG101 and ATF2 may associate with breast cancer risk and prognosis. A case-control study with 1551 breast cancer cases and 1605 age-matched controls were conducted in Guangzhou, China. We have also successfully followed up 1168 cases until December 31, 2014. The variant allele of TSG101 rs2292179 was associated with a non-significant reduced risk of breast cancer, particularly among women with BMI < 24 (kg/m(2)) (P for interaction <0.05). For ATF2 rs3845744, the variant allele was also associated with a significantly reduced breast cancer risk [odds ratio (OR) (95 % confidence interval (CI)) 0.86 (0.74∼1.00)], and the association occurred among only postmenopausal women [OR (95 % CI) 0.69 (0.54∼0.88)] (P for interaction <0.05). Breast cancer risk was further reduced with the increasing numbers of the variant G alleles of the two polymorphisms (P for trend <0.05). We did not find an overall association of the two loci with breast cancer prognosis, while the hazard ratios of the two loci (AG/GG vs. AA) were significantly higher among postmenopausal women than premenopausal women (P = 0.046, 0.016 for TSG101 rs2292179 and ATF2 rs3845744, respectively). In summary, the variant alleles of TSG101 rs2292179 and ATF2 rs3845744 were associated with a reduced risk of breast cancer, particularly for subjects with BMI <24 (kg/m(2)) and postmenopausal women, respectively. The two SNPs and menopausal status may have a significant interaction on breast cancer progression.

H4K20me3, H3K4me2 and H3K9me2 mediate the effect of ER on prognosis in breast cancer.

Previous studies have indicated that histone methylations act as mediators in the relationship between oestrogen receptor (ER) and breast cancer prognosis, yet the mediating role has never been assessed. Therefore, we investigated seven histone methylations (H3K4me2, H3K4me3, H3K9me1, H3K9me2, H3K9me3, H3K27me3 and H4K20me3) to determine whether they mediate the prognostic impact of ER on breast cancer. Tissue microarrays were constructed from 1045 primary invasive breast tumours, and the expressions of histone methylations were examined by immunohistochemistry. Multifactorial logistic regression was used to analyse the associations between ER and histone methylations. Cox proportional hazard model was performed to assess the relationship between histone methylations and breast cancer prognosis. The mediation effects of histone methylations were evaluated by model-based causal mediation analysis. High expressions of H3K9me1, H3K9me2, H3K4me2, H3K27me3, H4K20me3 were associated with ER positivity, while high expression of H3K9me3 was associated ER negativity. Higher H3K9me2, H3K4me2 and H4K20me3 levels were associated with better prognosis. The association between ER and breast cancer prognosis was most strongly mediated by H4K20me3 (29.07% for OS; 22.42% for PFS), followed by H3K4me2 (11.5% for OS; 10.82% for PFS) and least by H3K9me2 (9.35% for OS; 7.34% for PFS). H4K20me3, H3K4me2 and H3K9me2 mediated the relationship between ER and breast cancer prognosis, which would help to further elucidate the impact of ER on breast cancer prognosis from an epigenetic perspective and provide new ideas for breast cancer treatment.

Association of Chlamydia trachomatis Infection With Breast Cancer Risk and the Modification Effect of IL-12.

BACKGROUND: Chlamydia trachomatis (C. trachomatis) infection has been implicated in various cancers, yet its association with breast cancer remains unexplored. This infection triggers a cascade of immune responses primarily regulated by Interleukins-12 (IL-12). Thus, the objective of this case-control study was to investigate the link between C. trachomatis infection and breast cancer risk, as well as the modification effect of IL-12. METHODS: We assessed IgG levels against C. trachomatis in serum of 1,121 women with breast cancer (861 with estrogen receptor-positive (ER+) and 260 with estrogen receptor-negative (ER-) tumors) and 400 controls in Guangzhou, China. Logistic regression models were applied to estimate the odds ratios (ORs) and 95% confidence intervals (95% CIs) for breast cancer risk in association with C. trachomatis infection. The interaction between C. trachomatis infection and IL-12 on breast cancer risk was estimated by the product terms in the logistic regression models. RESULTS: Seropositivity of C. trachomatis IgG showed a slight association with an increased risk of breast cancer (OR = 1.20; 95% CI: 0.86∼1.78). This association was more pronounced among women with a higher (OR = 5.82; 95% CI: 1.31∼25.94) than a lower (OR = 0.73; 95% CI: 0.41∼1.30) level of IL-12, with a statistically significant interaction observed (Pinteraction = 0.013). In addition, C. trachomatis IgG seropositivity was related to an increased risk of breast cancer among PR+ patients (OR = 1.53; 95% CI: 1.04∼2.23). CONCLUSIONS: C. trachomatis infection may contribute to the development of hormone-responsive breast cancer in women with high levels of IL-12. Further studies are needed to uncover the underlying mechanisms.

Associations of polymorphisms in the genes of FGFR2, FGF1, and RBFOX2 with breast cancer risk by estrogen/progesterone receptor status.

Genetic polymorphisms of fibroblast growth factor receptor 2 (FGFR2) have been demonstrated to be associated with breast cancer risk, presumably through elevation of FGFR2 expression. Fibroblast growth factor 1 (FGF1) and RNA binding protein fox-1 homolog 2 (RBFOX2), which are functionally related to FGFR2, may also associate with breast cancer risk. We investigated the associations between breast cancer risk and the polymorphisms of FGFR2 rs2981582, FGF1 rs250108, and RBFOX2 rs2051579 among 839 incident breast cancer cases and 863 age-matched controls in the Guangzhou Breast Cancer Study. Stratified odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by estrogen receptor (ER)/progesterone receptor (PR) status using multivariate logistic regression. FGFR2 rs2981582 was confirmed to be significantly associated with the risk of ER-positive but not ER-negative breast cancer. In contrast, FGF1 rs250108 was significantly associated with the risk of ER-negative breast cancer (OR (95% CI) = 1.68 (1.20-2.35) for CT + TT vs. CC genotype) but not ER-positive breast cancer. CA + AA genotypes at RBFOX2 rs2051579 were associated with a reduced risk of ER-negative (0.71 (0.52-0.97)) but not ER-positive breast cancer compared to the CC genotype. Similar results were observed when differentiating breast cancer cases by PR status. Neither of the pairs between the three SNPs had a significant interaction on breast cancer risk. Our findings show a suggestively stronger association between FGFR2 rs2981582 and ER-positive breast cancer risk and suggest a greater association of FGF1 rs250108 and RBFOX2 rs2051579 with ER-negative compared to ER-positive breast cancer.

[Association between urinary cadmium and clinicopathological characteristics of breast cancer].

OBJECTIVE: The aim of this study was to investigate the association between urinary cadmium and clinicopathological characteristics of breast cancer. METHODS: The clinicopathological characteristics of 240 patients with breast cancer were obtained and urine specimens were collected from October 2009 to July 2010. The concentration of urinary cadmium was determined by inductively coupled plasma mass spectrometry (ICP-MS). χ(2) test and Wilcoxon rank sum test were used to analyze whether urinary cadmium is associated with clinicopathological characteristics of breast cancer. RESULTS: The median concentration of urine cadmium of 240 patients was 1.99 µg/g (25th percentile, 1.32 µg/g; 75th percentile, 2.88 µg/g). HER-2 positive rate, regional/distant metastasis rate, and advanced stage rate in patients with the highest tertile of cadmium concentration were significantly higher than those in the patients with second and lowest Cd tertiles (P = 0.042, P = 0.028 and P = 0.017, respectively), and 28.2% vs. 16.5% for HER-2 and 47.2% vs. 32.0% for regional/distant metastasis, respectively. There were still significant associations between urinary cadmium levels and these clinicopathological parameters after being adjusted in age by unconditional logistic regression model, respectively (P < 0.05). CONCLUSIONS: The results of this study suggest that urinary cadmium levels are associated with the HER-2 status, regional/distant metastasis status and stages of breast cancer, respectively. Cadmium may induce highly aggressive breast cancer in humans.

Joint effects of Epstein-Barr virus and polymorphisms in interleukin-10 and interferon-γ on breast cancer risk.

BACKGROUND: The relationship between Epstein-Barr virus (EBV) and breast cancer (BC) is controversial. Interleukin-10 (IL-10) and interferon-γ (IFN-γ) are believed to play a critical role in the host's responses to EBV infection, and their genetic variations may modify the association of EBV with BC risk. METHODS: We examined serum levels of EBV viral capsid antigen (VCA) immunoglobulin A (IgA) and nuclear antigen-1 (EBNA-1) IgA along with the polymorphisms of IL-10 rs1800871 and IFN-γ rs2069705 in 354 incident BC cases and 504 age-matched controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using multivariate logistic regression. RESULTS: VCA IgA and EBNA-1 IgA levels were positively associated with BC risk. IL-10 rs1800871 (TC/CC) was associated with a reduced BC risk (OR, 0.74 [95% CI, 0.55-1.00]) but had no interaction with EBV infection on BC risk. IFN-γ rs2069705 was not directly associated with BC risk but interacted with EBNA-1 IgA on BC risk. Among women with the CC genotype, EBNA-1 IgA seropositivity significantly increased the risk of BC compared to EBNA-1 IgA seronegativity (OR, 5.14 [95% CI, 1.76-14.98]). CONCLUSIONS: These results suggest that EBV may contribute to the risk of BC and that this contribution may be modified by genetic variations in IFN-γ.

Potential Application of Marine Fucosyl-Polysaccharides in Regulating Blood Glucose and Hyperglycemic Complications.

Diabetes mellitus (DM) has become the world's third major disease after tumors and cardiovascular disease. With the exploitation of marine biological resources, the efficacy of using polysaccharides isolated from marine organisms in blood glucose regulation has received widespread attention. Some marine polysaccharides can reduce blood glucose by inhibiting digestive enzyme activity, eliminating insulin resistance, and regulating gut microbiota. These polysaccharides are mainly fucose-containing sulphated polysaccharides from algae and sea cucumbers. It follows that the hypoglycemic activity of marine fucosyl-polysaccharides is closely related to their structure, such as their sulfate group, monosaccharide composition, molecular weight and glycosidic bond type. However, the structure of marine fucosyl-polysaccharides and the mechanism of their hypoglycemic activity are not yet clear. Therefore, this review comprehensively covers the effects of marine fucosyl-polysaccharides sources, mechanisms and the structure-activity relationship on hypoglycemic activity. Moreover, the potential regulatory effects of fucosyl-polysaccharides on vascular complications caused by hyperglycemia are also summarized in this review. This review provides rationales for the activity study of marine fucosyl-polysaccharides and new insights into the high-value utilization of marine biological resources.

Beneficial Effect of Toxoplasma gondii Infection on the Prognosis of Breast Cancer Was Modified by Cytokines.

Background: Animal experiments have shown the anticancer activity of Toxoplasma gondii (T. gondii), but its effect on the prognosis of cancer patients is unclear. Thus, the present study aimed to investigate the prognostic role of anti-T. gondii IgG in breast cancer patients and the modification effect of cytokines. Methods: A total of 1121 breast cancer patients were recruited between 2008 and 2018 and followed up until December 31, 2021. Anti-T. gondii IgG and cytokines were measured using an enzyme-linked immunosorbent assay (ELISA) kit and a multiplex assay platform. Endpoints were overall survival (OS) and progression-free survival (PFS). Survival and multiplicative interaction analyses were performed using multivariate Cox regression models. Results: According to the cutoff value of optical density (OD=0.111), 900 (80.29%) and 221 (19.71%) patients were divided into two groups: low or high anti-T. gondii IgG. Compared to patients with a low anti-T. gondii IgG level, the adjusted hazard ratios (HRs) of OS and PFS for patients with high anti-T. gondii IgG levels were 0.60 (95% confidence interval (CI): 0.37-0.99) and 0.67 (0.46-0.98), respectively. These associations were profound among patients with a high cytokine score (HR=0.29, 95% CI: 0.10-0.82 for OS; HR=0.30, 95% CI: 0.13-0.69 for PFS), accompanied by a significant interaction between the level of anti-T. gondii IgG and the cytokine score (P interaction=0.019 for PFS); interleukin-17 (IL-17) and interleukin-9 (IL-9) were the main contributors to the interaction. Conclusion: Anti-T. gondii IgG was found to be beneficial to breast cancer survival, especially in women with systematic inflammation and high IL-17 or IL-9 levels, suggesting the potential of T. gondii as a prognostic marker and a novel immunotherapy approach for cancer patients.