Prognostic role of preoperative circulating systemic inflammatory response markers in primary breast cancer: meta-analysis.

BACKGROUND: Circulating markers of the systemic inflammatory response are prognostic in several cancers, but their role in operable breast cancer is unclear. A systematic review and meta-analysis of the literature was carried out. METHODS: A search of electronic databases up to August 2020 identified studies that examined the prognostic value of preoperative circulating markers of the systemic inflammatory response in primary operable breast cancer. A meta-analysis was carried out for each marker with more than three studies, reporting a HR and 95 per cent confidence interval for disease-free survival (DFS), breast cancer-specific survival (BCSS) or overall survival (OS). RESULTS: In total, 57 studies were reviewed and 42 were suitable for meta-analysis. Higher neutrophil-to-lymphocyte ratio (NLR) was associated with worse overall survival (OS) (pooled HR 1.75, 95 per cent c.i. 1.52 to 2.00; P < 0.001), disease-free survival (DFS) (HR 1.67, 1.50 to 1.87; P < 0.001), and breast cancer-specific survival (BCSS) (HR 1.89, 1.35 to 2.63; P < 0.001). This effect was also seen with an arithmetically-derived NLR (dNLR). Higher platelet-to-lymphocyte ratio (PLR) was associated with worse OS (HR 1.29, 1.10 to 1.50; P = 0.001) and DFS (HR 1.58, 1.33 to 1.88; P < 0.001). Higher lymphocyte-to-monocyte ratio (LMR) was associated with improved DFS (HR 0.65, 0.51 to 0.82; P < 0.001), and higher C-reactive protein (CRP) level was associated with worse BCSS (HR 1.22, 1.07 to 1.39; P = 0.002) and OS (HR 1.24, 1.14 to 1.35; P = 0.002). CONCLUSION: Current evidence suggests a role for preoperative NLR, dNLR, LMR, PLR, and CRP as prognostic markers in primary operable breast cancer. Further work should define their role in clinical practice, particularly reproducible thresholds and molecular subtypes for which these may be of most value.

Evaluation of the role of KPNA2 mutations in breast cancer prognosis using bioinformatics datasets.

Breast cancer, comprising of several sub-phenotypes, is a leading cause of female cancer-related mortality in the UK and accounts for 15% of all cancer cases. Chemoresistant sub phenotypes of breast cancer remain a particular challenge. However, the rapidly-growing availability of clinical datasets, presents the scope to underpin a data-driven precision medicine-based approach exploring new targets for diagnostic and therapeutic interventions.We report the application of a bioinformatics-based approach probing the expression and prognostic role of Karyopherin-2 alpha (KPNA2) in breast cancer prognosis. Aberrant KPNA2 overexpression is directly correlated with aggressive tumour phenotypes and poor patient survival outcomes. We examined the existing clinical data available on a range of commonly occurring mutations of KPNA2 and their correlation with patient survival.Our analysis of clinical gene expression datasets show that KPNA2 is frequently amplified in breast cancer, with differences in expression levels observed as a function of patient age and clinicopathologic parameters. We also found that aberrant KPNA2 overexpression is directly correlated with poor patient prognosis, warranting further investigation of KPNA2 as an actionable target for patient stratification or the design of novel chemotherapy agents.In the era of big data, the wealth of datasets available in the public domain can be used to underpin proof of concept studies evaluating the biomolecular pathways implicated in chemotherapy resistance in breast cancer.

A gap analysis of UK biobank publications reveals SNPs associated with intrinsic subtypes of breast cancer.

Breast cancer is a multifaceted disease and a leading cause of cancer morbidity and mortality in females across the globe. In 2020 alone, 2.3 million women were diagnosed and 685,000 died of breast cancer worldwide. With the number of diagnoses projected to increase to 3 million per year by 2040 it is essential that new methods of detection and disease stratification are sought to decrease this global cancer burden. Although significant improvements have been made in breast cancer diagnosis and treatment, the prognosis of breast cancer remains poor in some patient groups (i.e. triple negative breast cancer), necessitating research into better patient stratification, diagnosis and drug discovery. The UK Biobank, a comprehensive biomedical and epidemiological database with a wide variety of multiomics data (genomics, proteomics, metabolomics) offers huge potential to uncover groundbreaking discoveries in breast cancer research leading to improved patient stratification. Combining genomic, proteomic, and metabolic profiles of breast cancer in combination with histological classification, can aid treatment decisions through accurate diagnosis and prognosis prediction of tumor behaviour. Here, we systematically reviewed PubMed publications reporting the analysis of UK Biobank data in breast cancer research. Our analysis of UK Biobank studies in the past five years identified 125 publications, of which 76 focussed on genomic data analysis. Interestingly, only two studies reported the analysis of metabolomics and proteomics data, with none performing multiomics analysis of breast cancer. A meta-analysis of the 76 publications identified 2870 genetic variants associated with breast cancer across 445 genes. Subtype analysis revealed differential genetic alteration in 13 of the 445 genes and the identification of 59 well-established breast cancer genes. in differential pathways. Pathway interaction analyses illuminated their involvement in general cancer biomolecular pathways (e.g. DNA damage repair, Gene expression). While our meta-analysis only measured genetic differences in breast cancer due to current usage of UK Biobank data, minimal multi-omics analyses have been performed and the potential for harnessing multi-omics strategies within the UK Biobank cohort holds promise for unravelling the biological signatures of distinct breast cancer subtypes further in the future.

Imprint cytology from core biopsies increases the sensitivity of fine needle aspiration (FNA) in breast cancer patients.

BACKGROUND: Fine needle aspiration cytology (FNAC) can have high inadequate results. The main objective of this study was to validate the sensitivity of imprint cytology and compare it to that of FNAC across all levels of staff experience. Our other objective was to find out whether handling of a core biopsy to obtain an imprint slide affected its morphology so as to make histopathological reporting from that tissue difficult. This we thought could be of significance while trying to diagnose smaller cancers where just one core could contain tumour. METHODS: Patients (n = 56) with a suspicious breast lump had fine needle aspiration (FNA) and core biopsy. The core biopsy used to prepare the two imprint cytology slides was sent separately for histopathology reporting. RESULTS: Simultaneous imprint cytology from a core biopsy increased the sensitivity of cytology results by 12% compared to that of FNAC alone. In this series we found imprint cytology to have a sensitivity of 84%, a specificity of 100%, a positive predictive value of 100% and a negative predictive value of 82.7%. The histopathologists did not report any distortion in tissue morphology so as to affect histological reporting of the core used. CONCLUSION: Since most patients will have a core biopsy to confirm invasive cancer and the technique of imprint cytology is easily performed, perhaps it should be more widely used especially in units where the sensitivity of FNA is low.

A prospective cohort study of the safety of breast cancer surgery during COVID-19 pandemic in the West of Scotland.

INTRODUCTION: In order to minimise the risk of breast cancer patients for COVID-19 infection related morbidity and mortality prioritisation of care has utmost importance since the onset of the pandemic. However, COVID-19 related risk in patients undergoing breast cancer surgery has not been studied yet. We evaluated the safety of breast cancer surgery during COVID-19 pandemic in the West of Scotland region. METHODS: A prospective cohort study of patients having breast cancer surgery was carried out in a geographical region during the first eight weeks of the hospital lockdown and outcomes were compared to the regional cancer registry data of pre-COVID-19 patients of the same units (n = 1415). RESULTS: 188 operations were carried out in 179 patients. Tumour size was significantly larger in patients undergoing surgery during hospital lockdown than before (cT3-4: 16.8% vs. 7.4%; p < 0.001; pT2 - pT4: 45.5% vs. 35.6%; p = 0.002). ER negative and HER-2 positive rate was significantly higher during lockdown (ER negative: 41.3% vs. 17%, p < 0.001; HER-2 positive: 23.4% vs. 14.8%; p = 0.004). While breast conservation rate was lower during lockdown (58.6% vs. 65%; p < 0.001), level II oncoplastic conservation was significantly higher in order to reduce mastectomy rate (22.8% vs. 5.6%; p < 0.001). No immediate reconstruction was offered during lockdown. 51.2% had co-morbidity, and 7.8% developed postoperative complications in lockdown. There was no peri-operative COVID-19 infection related morbidity or mortality. CONCLUSION: breast cancer can be safely provided during COVID-19 pandemic in selected patients.

Variation in the management of elderly patients in two neighboring breast units is due to preferences and attitudes of health professionals.

Introduction: Elderly breast cancer patients have been shown to be managed less aggressively than younger patients. There is evidence that their management varies between institutions. We audited the management of elderly patients in two neighboring units in Glasgow and aimed to identify reasons for any differences in practice found. Methods: Patients aged ≥70 years, who were managed for a new diagnosis of breast cancer in the two units between 2009 and 2013, were identified from a prospectively maintained database. Tumor pathology, treatment details, postcode and consultant in charge of care were obtained from the same database. Comorbidities were obtained from each patient's electronic clinical record. Questionnaires were distributed to members of each multidisciplinary teams. Results: 487 elderly patients in Unit 1 and 467 in Unit 2 were identified. 76.2% patients in Unit 1 were managed surgically compared to 63.7% in Unit 2 (p<0.0001). There was no difference between the two units in patient age, tumor pathology, deprivation or comorbidity. 16.2% patients managed surgically in Unit 1 had a comorbidity score of 6 and above compared to 11% of surgically managed patients in Unit 2 (p=0.036). Responses to questionnaires suggested that staff at Unit 1 were more confident of the safety of general anesthetic in elderly patients and were more willing to consider local anesthetic procedures. Conclusion: A higher proportion of patients aged >70 years with breast cancer were managed surgically in Unit 1 compared to Unit 2. Reasons for variation in practice seem to be related to attitudes of medical professionals toward surgery in the elderly, rather than patient or pathological factors.

Radioimmunohistochemistry of epidermal growth factor receptor in breast cancer.

CONTEXT: Conflicting reports of epidermal growth factor receptor (EGFR) expression in breast cancer and inconstant relationships with established prognostic indicators and outcomes suggest difficulties with EGFR measurement. OBJECTIVE: To compare EGFR measurement in a panel of cell lines and in breast carcinomas by radioimmunohistochemistry (R-IHC), conventional immunohistochemistry (IHC), and a ligand binding (LB) assay. DESIGN: Eight EGFR-expressing cell lines and 50 primary breast carcinoma specimens were analyzed for EGFR by IHC, R-IHC, and LB assays. A further 153 primary breast cancer specimens were analyzed by R-IHC alone. RESULTS: All 3 assays were in good agreement for the cell lines. In the subset of the 50 carcinoma specimens, EGFR was detected by LB assays in 19 (38%) and by IHC in 24 (48%). However, R-IHC detected EGFR in 46 (92%) of 50 and in 186 (92%) of all 203 carcinoma specimens. The LB assay agreed poorly with R-IHC of carcinomas, possibly because the LB assay is sensitive to EGFR-expressing nontumor breast parenchyma in the tissue analyzed. Both IHC and R-IHC on carcinoma specimens agreed better, but 26 carcinoma specimens (52%) in which EGFR was not detectable by IHC had a 10-fold range in receptor level detectable by R-IHC. CONCLUSION: To elucidate the role of EGFR or other growth factor receptors in breast cancer requires accurate, sensitive receptor assays. With its dynamic range, R-IHC returned meaningful results over the entire range of expression actually present in breast cancer, which LB assays and IHC failed to do.