BackgroundMetastasis is a leading cause of death among cancer patients. In the tumor microenvironment, altered levels of extracellular matrix proteins, such as collagens, can facilitate the first steps of cancer cell metastasis, including invasion into surrounding tissue and intravasation into the blood stream. However, the degree of misexpression of collagen genes in tumors remains understudied, even though this knowledge could greatly facilitate the development of cancer treatment options aimed at preventing metastasis.MethodsWe systematically evaluate the expression of all 44 collagen genes in breast cancer and assess whether their misexpression provides clinical prognostic significance. We use immunohistochemistry on 150 ductal breast cancers and 361 cervical cancers and study DNA methylation in various epithelial cancers.ResultsIn breast cancer, various tests show that COL4A1 and COL4A2 overexpression and COL17A1 (BP180, BPAG2) underexpression provide independent prognostic strength (HR = 1.25, 95% CI = 1.17–1.34, p = 3.03 × 10−10; HR = 1.18, 95% CI = 1.11–1.25, p = 8.11 × 10−10; HR = 0.86, 95% CI = 0.81–0.92, p = 4.57 × 10−6; respectively). Immunohistochemistry on ductal breast cancers confirmed that the COL17A1 protein product, collagen XVII, is underexpressed. This strongly correlates with advanced stage, increased invasion, and postmenopausal status. In contrast, immunohistochemistry on cervical tumors showed that collagen XVII is overexpressed in cervical cancer and this is associated with increased local dissemination. Interestingly, consistent with the opposed direction of misexpression in these cancers, the COL17A1 promoter is hypermethylated in breast cancer and hypomethylated in cervical cancer. We also find that the COL17A1 promoter is hypomethylated in head and neck squamous cell carcinoma, lung squamous cell carcinoma, and lung adenocarcinoma, in all of which collagen XVII overexpression has previously been shown.ConclusionsParadoxically, collagen XVII is underexpressed in breast cancer and overexpressed in cervical and other epithelial cancers. However, the COL17A1 promoter methylation status accurately predicts both the direction of misexpression and the increased invasive nature for five out of five epithelial cancers. This implies that aberrant epigenetic control is a key driver of COL17A1 gene misexpression and tumor cell invasion. These findings have significant clinical implications, suggesting that the COL17A1 promoter methylation status can be used to predict patient outcome. Moreover, epigenetic targeting of COL17A1 could represent a novel strategy to prevent metastasis in patients.Electronic supplementary materialThe online version of this article (doi:10.1186/s13148-016-0290-6) contains supplementary material, which is available to authorized users.

We find that overexpression of Ran GTPase components involved in nuclear export, but not nuclear import or mitotic spindle assembly, is a strong CIN-associated marker for poor breast cancer prognosis. This could mean that increased nuclear export (of, for instance, pRb, p53, p73, BRCA1, p21, p27, E2F4, IκB, survivin), rather than spindle defects, mainly drives CIN and tumorigenesis. Hence, selective inhibitors of nuclear export may be effective for treating the most aggressive and chromosomally unstable breast cancers.

During cell division, chromosome segregation is facilitated by the mitotic checkpoint, or spindle assembly checkpoint (SAC), which ensures correct kinetochore-microtubule attachments and prevents premature sister-chromatid separation. It is well established that misexpression of SAC components on the outer kinetochores promotes chromosome instability (CIN) and tumorigenesis. Here, we study the expression of CENP-I, a key component of the HIKM complex at the inner kinetochores, in breast cancer, including ductal, lobular, medullary and male breast carcinomas. CENPI mRNA and protein levels are significantly elevated in estrogen receptor-positive (ER+) but not in estrogen receptor-negative (ER-) breast carcinoma. Well-established prognostic tests indicate that CENPI overexpression constitutes a powerful independent marker for poor patient prognosis and survival in ER+ breast cancer. We further demonstrate that CENPI is an E2F target gene. Consistently, it is overexpressed in RB1-deficient breast cancers. However, CENP-I overexpression is not purely due to cell cycle-associated expression. In ER+ breast cancer cells, CENP-I overexpression promotes CIN, especially chromosome gains. In addition, in ER+ breast carcinomas the degree of CENPI overexpression is proportional to the level of aneuploidy and CENPI overexpression is one of the strongest markers for CIN identified to date. Our results indicate that overexpression of the inner kinetochore protein CENP-I promotes CIN and forecasts poor prognosis for ER+ breast cancer patients. These observations provide novel mechanistic insights and have important implications for breast cancer diagnostics and potentially therapeutic targeting.

The contest between the host factor APOBEC3G (A3G) and the HIV-1 protein Vif presents an attractive target of intervention. The extent to which the A3G-Vif interaction must be suppressed to tilt the balance in favor of A3G remains unknown. We employed stochastic simulations and mathematical modeling of the within-host dynamics and evolution of HIV-1 to estimate the fraction of progeny virions that must incorporate A3G to render productive infection unsustainable. Using three different approaches, we found consistently that a transition from sustained infection to suppression of productive infection occurred when the latter fraction exceeded ~0.8. The transition was triggered by A3G-induced hypermutations that led to premature stop codons compromising viral production and was consistent with driving the basic reproductive number, R0, below unity. The fraction identified may serve as a quantitative guideline for strategies targeting the A3G-Vif axis.

IMPORTANCE There is no proven test that can guide the optimal treatment, either endocrine therapy or chemotherapy, for estrogen receptor-positive breast cancer. OBJECTIVE To investigate the associations of sperm-associated antigen 5 (SPAG5) transcript and SPAG5 protein expressions with treatment response in systemic therapy for estrogen receptorpositive breast cancer. DESIGN, SETTINGS, AND PARTICIPANTS This retrospective cohort study included patients with estrogen receptor-positive breast cancer who received 5 years of adjuvant endocrine therapy with or without neoadjuvant anthracycline-based combination chemotherapy (NACT) derived from 11 cohorts from December 1, 1986, to November 28, 2019. The associations of SPAG5 transcript and SPAG5 protein expression with pathological complete response to NACT were evaluated, as was the association of SPAG5 mRNA expression with response to neoadjuvant endocrine therapy. The associations of distal relapse-free survival with SPAG5 transcript or SPAG5 protein expressions were analyzed. Data were analyzed from September 9, 2015, to November 28, 2019. MAIN OUTCOMES AND MEASURES The primary outcomes were breast cancer-specific survival, distal relapse-free survival, pathological complete response, and clinical response. Outcomes were examined using Kaplan-Meier, multivariable logistic, and Cox regression models. RESULTS This study included 12 720 women aged 24 to 78 years (mean [SD] age, 58.46 [12.45] years) with estrogen receptor-positive breast cancer, including 1073 women with SPAG5 transcript expression and 361 women with SPAG5 protein expression of locally advanced disease stage IIA through IIIC. Women with SPAG5 transcript and SPAG5 protein expressions achieved higher pathological complete response compared with those without SPAG5 transcript or SPAG5 protein expressions (transcript: odds ratio, 2.45 [95% CI, 1.71-3.51]; P < .001; protein: odds ratio, 7.32 [95% CI, 3.33-16.22]; P < .001). Adding adjuvant anthracycline chemotherapy to adjuvant endocrine therapy for SPAG5 mRNA expression in estrogen receptor-positive breast cancer was associated with prolonged 5-year distal relapse-free survival in patients without lymph node involvement (hazard ratio, 0.34 [95% CI, 0.14-0.87]; P = .03) and patients with lymph node involvement (hazard ratio, 0.35 [95% CI, 0.18-0.68]; P = .002) compared with receiving 5-year endocrine therapy alone. Mean (SD) SPAG5 transcript was found to be downregulated after 2 weeks of neoadjuvant endocrine therapy compared with pretreatment levels in 68 of 92 patients (74%) (0.23 [0.18] vs 0.34 [0.24]; P < .001).

DCM (by gavage or inhalation) or DCP +DCM (by gavage), and spontaneous tumours from vehicle/sham-exposed mice were analysed by whole-exome sequencing. Somatic mutation calling was performed to define exome-wide mutation patterns induced by DCP and DCM in these assays. Mutation data obtained in biliary tract cancers of workers in the printing industry who have been exposed to DCP and DCM as single agents or as mixtures, as well as with public somatic mutation data from biliary tract cancers were mined for the presence of the experimentally defined DCP and DCM mutational signatures. Results and discussions Liver tumours from DCP and DCM exposed mice had distinct somatic mutations patterns compared to spontaneous liver tumours from vehicle/sham-exposed mice. While mutations in DCP-exposed mice were dominated by C:G>T:A transitions, the most frequent types of mutations in DCM-exposed mice were T:A>A:T and T:A>C:G substitutions. An average of 10.3 somatic mutations was observed per Mb in tumours from DCM-exposed mice, approximately 3-fold higher than in DCP-exposed or sham-treated mice. The mutation patterns found in DCP-exposed mice, but not DCMexposed mice, presented some similarities with the mutational signature observed in cholangiocarcinomas of Japanese patients with occupational DCP/DCM exposure history. Conclusion These results show that the analysis of tumour genomes from mouse carcinogenicity assays can support the characterisation of mutational signatures of carcinogenic compounds relevant to human exposures.

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model, and the fast and synchronous tumour onset makes it very suitable to design and validate new treatment regimens for this deadly disease. Introduction The mitotic checkpoint, or spindle assembly checkpoint (SAC), is a safeguard mechanism that prevents chromosome missegregation during mitosis. It is well established that overexpression of the mitotic checkpoint component MAD2 leads to chromosome instability (CIN) and tumorigenesis. MAD2 expression is controlled by transcriptional activator and repressor E2Fs, as well as by cell cycle dependent element/cell cycle homology region (CDE/CHR) sequences in its promoter. However, precisely how MAD2 transcription is regulated has remained elusive. Focusing on breast cancer, we therefore aimed to identify novel MAD2 transcriptional regulators and to characterise how these might contribute to CIN and tumour formation. Material and methods Potential MAD2 transcriptional regulators were identified using a DNA-protein pull-down assay and mass spectrometry. In-depth characterisation of protein-DNA interactions and transcriptional effects were studied using chromatin immunoprecipitation, promoter mutagenesis and reporter assays. Cell lines in which identified repressors were stably knocked-down by shRNAs were used to investigate changes in MAD2 protein levels, cell cycle progression and chromosome segregation fidelity. In silico analyses and immunohistochemistry on tissue microarrays were used to study associations between expression of the regulators and MAD2 at the mRNA and protein levels in breast cancer. Repressor expression levels were also assessed in the context of breast cancer patient prognosis and survival. Results and discussions We identified the forkhead box transcription factor FOXP1 as a main transcriptional repressor of MAD2 expression. FOXP1 reduces MAD2 promoter activity via direct binding to CDE/CHR elements. Furthermore, knockdown of FOXP1 expression increases the proportion of cells in G2/M phase. In addition, low FOXP1 expression strongly correlates with high MAD2 expression at the mRNA and protein levels, and with poor patient prognosis in breast cancer, especially triple-negative breast cancer. Conclusion We identified FOXP1 as a novel transcriptional repressor of MAD2 expression. Our results suggest that reduced FOXP1 levels in breast cancer affect both MAD2 expression and cell cycle progression. This may promote CIN and tumour formation via upregulation of MAD2. Our results may have important implications for breast cancer diagnostics and, potentially, therapeutic targeting. Genetic instability