No abstract

We have previously provided evidence showing an association between some precursor lesions with low nuclear grade breast carcinomas (LNGBCs). In this study, further immunophenotypic support to our proposed route of pathogenesis of LNGBC and their precursor lesions was provided. Precursor lesions including columnar cell lesions, atypical ductal hyperplasia, ductal carcinoma in situ, usual epithelial hyperplasia, and lobular neoplasia were compared with matching "morphologically normal" terminal lobular duct units and matching invasive carcinoma. The epithelial cells in the putative precursor flat epithelial atypia, atypical ductal hyperplasia, lobular neoplasia, ductal carcinoma in situ lesions, and their coexisting LNGBC were negative for basal and myoepithelial markers, but positive for CK19/18/8, estrogen receptor (ER)-alpha, Bcl-2, and cyclin D1. The ER-alpha/ER-beta expression ratio increased during carcinogenesis, as did expression of cyclin D1 and Bcl-2. p53 immunopositivity was found 3% in LNGBC versus 43% in high nuclear grade breast carcinoma (HNGBC), whereas ataxia telangiectasia mutated expression was absent or reduced in 22% of LNGBC versus 53% of HNGBC cases. In summary, our findings support the concept that flat epithelial atypia is the earliest morphologically identifiable nonobligate precursor lesion of LNGBC. These may represent a family of precursor, in situ and invasive neoplastic lesions belonging to the luminal "A" subclass of breast cancer. The balance between ER-alpha and ER-beta expression may be important in driving cyclin D-1 and Bcl-2 expression. Ataxia telangiectasia mutated may be one of the alternative regulatory mechanisms to TP53 mutation or dysfunction in low-grade and high-grade breast carcinoma. Our findings support the concept that progression of LNGBC to HNGBC (basal-like or HER2+) phenotype is an unlikely biologic phenomenon.

FEN1 has key roles in Okazaki fragment maturation during replication, long patch base excision repair, rescue of stalled replication forks, maintenance of telomere stability and apoptosis. FEN1 may be dysregulated in breast and ovarian cancers and have clinicopathological significance in patients. We comprehensively investigated FEN1 mRNA expression in multiple cohorts of breast cancer [training set (128), test set (249), external validation (1952)]. FEN1 protein expression was evaluated in 568 oestrogen receptor (ER) negative breast cancers, 894 ER positive breast cancers and 156 ovarian epithelial cancers. FEN1 mRNA overexpression was highly significantly associated with high grade (p=4.89 × 10−57), high mitotic index (p=5.25 × 10−28), pleomorphism (p=6.31 × 10−19), ER negative (p=9.02 × 10−35), PR negative (p=9.24 × 10−24), triple negative phenotype (p=6.67 × 10−21), PAM50.Her2 (p=5.19 × 10−13), PAM50.Basal (p=2.7 × 10−41), PAM50.LumB (p=1.56 × 10−26), integrative molecular cluster 1 (intClust.1) (p=7.47 × 10−12), intClust.5 (p=4.05 × 10−12) and intClust. 10 (p=7.59 × 10−38) breast cancers. FEN1 mRNA overexpression is associated with poor breast cancer specific survival in univariate (p= 4.4 × 10−16) and multivariate analysis (p= 9.19 × 10−7). At the protein level, in ER positive tumours, FEN1 overexpression remains significantly linked to high grade, high mitotic index and pleomorphism (ps<0.01). In ER negative tumours, high FEN1 is significantly associated with pleomorphism, tumour type, lymphovascular invasion, triple negative phenotype, EGFR and HER2 expression (ps<0.05). In ER positive as well as in ER negative tumours, FEN1 protein overexpression is associated with poor survival in univariate and multivariate analysis (ps<0.01). In ovarian epithelial cancers, similarly, FEN1 overexpression is associated with high grade, high stage and poor survival (ps<0.05). We conclude that FEN1 is a promising biomarker in breast and ovarian epithelial cancer.

Dicer is a protein that plays a pivotal role in the final steps of the microRNA (miRNA) processing pathway, to produce mature miRNAs from their precursor molecules. The purpose of the current study was to assess the biological and prognostic value of Dicer protein expression in breast cancer (BC). Dicer protein expression was assessed immunohistochemically in two sets of BC: (1) full-face sections of selected BC series with distinct stages of tumour progression (normal, in situ (DCIS), primary invasive BC and nodal metastases) to evaluate its differential expression. (2) Tissue microarray comprising a large and well-characterised series of unselected clinically annotated invasive BC (n = 1,174) to investigate its correlation with clinicopathological features and patient outcome. A gradual loss of Dicer protein expression was observed in malignant compared to normal breast tissues, with the loss being the least in DCIS and most prominent in metastatic malignant cells. In invasive BC, loss of Dicer expression was associated with features of aggressive behaviour including higher histological grade, loss of hormone receptor and BRCA1 protein expression and with shorter disease-free survival (DFS). Dicer expression was an independent predictor of recurrence in the aggressive HER2-positive subgroup. Moreover, loss of Dicer was predictive of better response to chemotherapy and to endocrine therapy. This study provides evidence that Dicer protein plays a role in human BC progression and behaviour, and assessment of its expression could provide prognostic information in BC including the HER2-positive class.

X-ray repair cross-complementing gene 1 (XRCC1) is essential for DNA base excision repair, single strand break repair and nucleotide excision repair. We investigated clinicopathological and functional significance of XRCC1 expression in ovarian cancers. XRCC1 protein expression was evaluated in 195 consecutive human ovarian cancers and correlated with clinicopathological variables and survival outcomes. Functional preclinical studies were conducted in a panel of XRCC1 deficient and proficient Chinese hamster and Human cancer cells for cisplatin chemosensitivity. Clonogenic assay, neutral COMET assay, cH2AX immunocytochemistry and flow cytometric analyses were performed in cells. In ovarian cancer, 48% of the tumors were positive for XRCC1 expression and significantly associated with higher stage (p 5 0.006), serous type tumors (p 5 0.008), suboptimal de-bulking (p 5 0.004) and platinum resistance (p < 0.0001). Positive XRCC1 had twofold increase of risk of death (p 5 0.007) and progression (p < 0.0001). In the multivariate Cox model, XRCC1 expression was independently associated with cancer specific [p 5 0.038] and progression free survival [p 5 0.003]. Preclinically, XRCC1 negative cells were sensitive to cisplatin compared to XRCC1 positive cells. Sensitivity to cisplatin in XRCC1 negative cells was associated with accumulation of DNA double strand breaks and G2/M cell cycle arrest. XRCC1 expression is associated with adverse clinicopathological and survival outcomes in patients. Preclinical data provides mechanistic functional evidence for cisplatin sensitivity in XRCC1 negative cells. XRCC1 is a promising predictive biomarker in ovarian cancer.

Gene expression microarrays allow for the high throughput analysis of huge numbers of gene transcripts and this technology has been widely applied to the molecular and biological classification of cancer patients and in predicting clinical outcome. A potential handicap of such data intensive molecular technologies is the translation to clinical application in routine practice. In using an artificial neural network bioinformatic approach, we have reduced a 70 gene signature to just 9 genes capable of accurately predicting distant metastases in the original dataset. Upon validation in a follow-up cohort, this signature was an independent predictor of metastases free and overall survival in the presence of the 70 gene signature and other factors. Interestingly, the ANN signature and CA9 expression also split the groups defined by the 70 gene signature into prognostically distinct groups. Subsequently, the presence of protein for the principal prognosticator gene was categorically assessed in breast cancer tissue of an experimental and independent validation patient cohort, using immunohistochemistry. Importantly our principal prognosticator, CA9, showed that it is capable of selecting an aggressive subgroup of patients who are known to have poor prognosis.

Ovarian cancer is routinely treated with surgery and platinum-based chemotherapy. Resistance is a major obstacle in the efficacy of this chemotherapy regimen and the ability to identify those patients at risk of developing resistance is of considerable clinical importance. The expression of calpain-1, calpain-2 and calpastatin were determined using standard immunohistochemistry on a tissue microarray of 154 primary ovarian carcinomas from patients subsequently treated with platinum-based adjuvant chemotherapy. High levels of calpain-2 expression was significantly associated with platinum resistant tumours (P = 0.031). Furthermore, high expression of calpain-2 was significantly associated with progression-free (P = 0.049) and overall survival (P = 0.006) in this cohort. The association between calpain-2 expression and overall survival remained significant in multivariate analysis accounting for tumour grade, stage, optimal debulking and platinum sensitivity (hazard ratio = 2.174; 95% confidence interval = 1.144–4.130; P = 0.018). The results suggest that determining calpain-2 expression in ovarian carcinomas may allow prognostic stratification of patients treated with surgery and platinum-based chemotherapy. The findings of this study warrant validation in a larger clinical cohort.

Bloom syndrome helicase (BLM) has key roles in homologous recombination repair, telomere maintenance, and DNA replication. Germ-line mutations in the BLM gene causes Bloom syndrome, a rare disorder characterized by premature aging and predisposition to multiple cancers, including breast cancer. The clinicopathologic significance of BLM in sporadic breast cancers is unknown. We investigated BLM mRNA expression in the Molecular Taxonomy of Breast Cancer International Consortium cohort (n ¼ 1,950) and validated in an external dataset of 2,413 tumors. BLM protein level was evaluated in the Nottingham Tenovus series comprising 1,650 breast tumors. BLM mRNA overexpression was significantly associated with high histologic grade, larger tumor size, estrogen receptor-negative (ER À ), progesterone receptor-negative (PR À ), and triple-negative phenotypes (ps < 0.0001). BLM mRNA overexpression was also linked to aggressive molecular phenotypes, including PAM50.Her2 (P < 0.0001), PAM50. Basal (P < 0.0001), and PAM50.LumB (P < 0.0001) and Genufu subtype (ER þ /Her2 À /high proliferation; P < 0.0001). PAM50. LumA tumors and Genufu subtype (ER þ /Her2 À /low proliferation) were more likely to express low levels of BLM mRNA (ps < 0.0001). Integrative molecular clusters (intClust) intClust.1 (P < 0.0001), intClust.5 (P < 0.0001), intClust.9 (P < 0.0001), and intClust.10 (P < 0.0001) were also more likely in tumors with high BLM mRNA expression. BLM mRNA overexpression was associated with poor breast cancer-specific survival (BCSS; ps < 0.000001). At the protein level, altered subcellular localization with high cytoplasmic BLM and low nuclear BLM was linked to aggressive phenotypes. In multivariate analysis, BLM mRNA and BLM protein levels independently influenced BCSS. This is the first and the largest study to provide evidence that BLM is a promising biomarker in breast cancer.