Exploring the Conformational Landscape and Stability of Aurora A Using Ion-Mobility Mass Spectrometry and Molecular Modeling.

Protein kinase inhibitors are highly effective in treating diseases driven by aberrant kinase signaling and as chemical tools to help dissect the cellular roles of kinase signaling complexes. Evaluating the effects of binding of small molecule inhibitors on kinase conformational dynamics can assist in understanding both inhibition and resistance mechanisms. Using gas-phase ion-mobility mass spectrometry (IM-MS), we characterize changes in the conformational landscape and stability of the protein kinase Aurora A (Aur A) driven by binding of the physiological activator TPX2 or small molecule inhibition. Aided by molecular modeling, we establish three major conformations, the relative abundances of which were dependent on the Aur A activation status: one highly populated compact conformer similar to that observed in most crystal structures, a second highly populated conformer possessing a more open structure infrequently found in crystal structures, and an additional low-abundance conformer not currently represented in the protein databank. Notably, inhibitor binding induces more compact configurations of Aur A, as adopted by the unbound enzyme, with both IM-MS and modeling revealing inhibitor-mediated stabilization of active Aur A.

Integrated pan-cancer of AURKA expression and drug sensitivity analysis reveals increased expression of AURKA is responsible for drug resistance.

INTRODUCTION: The AURKA gene encodes a protein kinase involved in cell cycle regulation and plays an oncogenic role in many cancers. The main objective of this study is to analyze AURKA expression in 13 common cancers and its role in prognostic and drug resistance. METHOD: Using the cancer genome atlas (TCGA) as well as CCLE and GDSC data, the level of AURKA gene expression and its role in prognosis and its association with drug resistance were evaluated, respectively. In addition, the expression level of AURKA was assessed in colorectal cancer (CRC) and gastric cancer (GC) samples. Besides, using Gene Expression Omnibus (GEO) data, drugs that could affect the expression level of this gene were also identified. RESULTS: The results indicated that the expression level of AURKA gene in 13 common cancers increased significantly compared to normal samples or it survived poorly (HR >1, p < 0.01) in lung, prostate, kidney, bladder, and uterine cancers. Also, the gene expression data showed increased expression in CRC and GC samples compared to normal ones. The level of AURKA was significantly associated with the resistance to SB 505124, NU-7441, and irinotecan drugs (p < 0.01). Eventually, GEO data showed that JQ1, actinomycin D1, and camptothecin could reduce the expression of AURKA gene in different cancer cell lines (logFC < 1, p < 0.01). CONCLUSION: Increased expression of AURKA is observed in prevalent cancers and associated with poor prognostic and the development of drug resistance. In addition, some chemotherapy drugs can reduce the expression of this gene.

Apocrine Variant of Pleomorphic Lobular Carcinoma In Situ: Further Clinical, Histopathologic, Immunohistochemical, and Molecular Characterization of an Emerging Entity.

To date, the apocrine variant of lobular carcinoma in situ (AP-LCIS) has been cursorily described as a subtype of lobular carcinoma in situ (LCIS). We retrospectively reviewed 34 cases of AP-LCIS (including 23 associated with invasive lobular carcinoma) to fully characterize it. AP-LCIS typically presented with screen-detected calcifications in older women (mean age: 65 y) and was characterized by distended terminal duct lobular units with relatively large "pleomorphic" cells, central necrosis, and calcifications. AP-LCIS cells exhibited abundant eosinophilic occasionally granular cytoplasm, hyperchromatic nuclei, and prominent nucleoli. Synchronous classic and/or florid LCIS was identified in 24/34 (70%) AP-LCIS, and in 9/11 (82%) pure AP-LCIS. Most (68%) cases of AP-LCIS were estrogen receptor-positive (50% strongly), 35% were progesterone receptor-positive, 26% were human epidermal growth factor 2-positive, 18% demonstrated high-proliferation rate (Ki67: >15%), and 90% were androgen receptor-positive. Aurora kinase A, immunoreactive in 38% of AP-LCIS cases, was not significantly associated with recurrence, development of invasion, or nodal positivity (P>0.05). Compared with conventional (nonapocrine) pleomorphic lobular carcinoma in situ (P-LCIS), aurora kinase A was expressed in a significantly greater proportion of P-LCIS (100%). AP-LCIS and P-LCIS did not otherwise differ in clinicopathologic features. Next-generation sequencing utilizing the Oncomine Comprehensive Panel v2, performed on 27 AP-LCIS cases, showed no specific molecular findings. In a mean follow-up of 57 months, 2 (of 11, 18%) pure AP-LCIS cases recurred (2 both in situ and invasive) and none metastasized or proved fatal. AP-LCIS should be regarded as another high-grade LCIS similar to P-LCIS in many respects, and pending additional studies should be managed similarly.

Automated screening of AURKA activity based on a genetically encoded FRET biosensor using fluorescence lifetime imaging microscopy.

Fluorescence Lifetime Imaging Microscopy (FLIM) is a robust tool to measure Förster Resonance Energy Transfer (FRET) between two fluorescent proteins, mainly when using genetically-encoded FRET biosensors. It is then possible to monitor biological processes such as kinase activity with a good spatiotemporal resolution and accuracy. Therefore, it is of interest to improve this methodology for future high content screening purposes. We here implement a time-gated FLIM microscope that can image and quantify fluorescence lifetime with a higher speed than conventional techniques such as Time-Correlated Single Photon Counting (TCSPC). We then improve our system to perform automatic screen analysis in a 96-well plate format. Moreover, we use a FRET biosensor of AURKA activity, a mitotic kinase involved in several epithelial cancers. Our results show that our system is suitable to measure FRET within our biosensor paving the way to the screening of novel compounds, potentially allowing to find new inhibitors of AURKA activity.

Insights into the non-mitotic functions of Aurora kinase A: more than just cell division.

AURKA is a serine/threonine kinase overexpressed in several cancers. Originally identified as a protein with multifaceted roles during mitosis, improvements in quantitative microscopy uncovered several non-mitotic roles as well. In physiological conditions, AURKA regulates cilia disassembly, neurite extension, cell motility, DNA replication and senescence programs. In cancer-like contexts, AURKA actively promotes DNA repair, it acts as a transcription factor, promotes cell migration and invasion, and it localises at mitochondria to regulate mitochondrial dynamics and ATP production. Here we review the non-mitotic roles of AURKA, and its partners outside of cell division. In addition, we give an insight into how structural data and quantitative fluorescence microscopy allowed to understand AURKA activation and its interaction with new substrates, highlighting future developments in fluorescence microscopy needed to better understand AURKA functions in vivo. Last, we will recapitulate the most significant AURKA inhibitors currently in clinical trials, and we will explore how the non-mitotic roles of the kinase may provide new insights to ameliorate current pharmacological strategies against AURKA overexpression.

Optimized FRET Pairs and Quantification Approaches To Detect the Activation of Aurora Kinase A at Mitosis.

Genetically encoded Förster's Resonance Energy Transfer (FRET) biosensors are indispensable tools to sense the spatiotemporal dynamics of signal transduction pathways. Investigating the crosstalk between different signaling pathways is becoming increasingly important to follow cell development and fate programs. To this end, FRET biosensors must be optimized to monitor multiple biochemical activities simultaneously and in single cells. In addition, their sensitivity must be increased to follow their activation even when the abundance of the biosensor is low. We describe here the development of a second generation of Aurora kinase A/AURKA biosensors. First, we adapt the original AURKA biosensor-GFP-AURKA-mCherry-to multiplex FRET by using dark acceptors as ShadowG or ShadowY. Then, we use the novel superYFP acceptor protein to measure FRET by 2-color Fluorescence Cross-Correlation Spectroscopy, in cytosolic regions where the abundance of AURKA is extremely low and undetectable with the original AURKA biosensor. These results pave the way to the use of FRET biosensors to follow AURKA activation in conjunction with substrate-based activity biosensors. In addition, they open up the possibility of tracking the activation of small pools of AURKA and its interaction with novel substrates, which would otherwise remain undetectable with classical biochemical approaches.

Elevated mRNA Levels of AURKA, CDC20 and TPX2 are associated with poor prognosis of smoking related lung adenocarcinoma using bioinformatics analysis.

Background and aim: Adenocarcinoma is a very common pathological subtype for lung cancer. We aimed to identify the gene signature associated with the prognosis of smoking related lung adenocarcinoma using bioinformatics analysis. Methods: A total of five gene expression profiles (GSE31210, GSE32863, GSE40791, GSE43458 and GSE75037) have been identified from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were analyzed using GEO2R software and functional and pathway enrichment analysis. Furthermore, the overall survival (OS) and recurrence-free survival (RFS) have been validated using an independent cohort from the Cancer Genome Atlas (TCGA) database. Results: We identified a total of 58 DEGs which mainly enriched in ECM-receptor interaction, platelet activation and PPAR signaling pathway. Then according to the enrichment analysis results, we selected three genes (AURKA, CDC20 and TPX2) for their roles in regulating tumor cell cycle and cell division. The results showed that the hazard ratio (HR) of the mRNA expression of AURKA for OS was 1.588 with (1.127-2.237) 95% confidence interval (CI) (P=0.009). The mRNA levels of CDC20 (HR 1.530, 95% CI 1.086-2.115, P=0.016) and TPX2 (HR 1.777, 95%CI 1.262-2.503, P=0.001) were also significantly associated with the OS. Expression of these three genes were not associated with RFS, suggesting that there might be many factors affect RFS. Conclusion: The mRNA signature of AURKA, CDC20 and TPX2 were potential biomarkers for predicting poor prognosis of smoking related lung adenocarcinoma.

Investigação das quinases Aurora A e Aurora B na tumorigenicidade mediada pelo oncogene KRAS / Investigation of Aurora kinases A and B in KRAS-induced lung tumorigenesis

O câncer de pulmão é a principal causa de morte relacionada ao câncer no mundo. Mutações em KRAS são altamente prevalentes no câncer e têm sido diretamente associadas ao processo tumorigênico. Apesar disso, até hoje todas as terapias visando inibir KRAS diretamente falharam e a caracterização de alvos indiretos, importantes para a oncogênese mediada por KRAS, é fundamental para o desenvolvimento de novas terapias contra o câncer de pulmão. Nós mostramos previamente que as quinases Aurora A (AURKA) e B (AURKB) são alvos a jusante de KRAS, importantes para o crescimento, viabilidade e oncogenicidade de linhagens celulares derivadas de tumores pulmonares mediados por KRAS. Aqui, nós aprofundamos os nossos estudos para melhor caracterizar AURKA e AURKB como potenciais alvos terapêuticos no câncer de pulmão. Os objetivos deste trabalho foram (1) investigar o mecanismo de perda de viabilidade induzido pela inibição de AURKA e/ou AURKB; (2) avaliar como a inibição de AURKA e/ou AURKB afeta propriedades oncogênicas relacionadas à agressividade tumoral; e (3) como a inibição destas quinases afeta o crescimento tumoral in vivo. Para tanto, nós utilizamos dois modelos celulares: (1) células A549 e H358, que apresentam mutações em KRAS, geneticamente modificadas para a expressão estável e induzível de shRNAs contra AURKA ou AURKB, e (2) células tumorais H1703, que não apresentam mutações em KRAS, geneticamente modificadas para a expressão induzível de KRASG12V, tratadas ou não com inibidores farmacológicos das quinases Aurora. A inibição farmacológica ou por interferência de RNA de AURKA e/ou AURKB em células H358 e A549 reduziu a proliferação celular, sendo esta inibição acompanhada de anomalias mitóticas, além de aneuploidia e poliploidia. A inibição destas quinases também induziu morte celular in vitro, tanto em mitose, quanto em interfase. Mais interessantemente, a inibição farmacológica dual de AURKA e AURKB induziu morte celular in vitro em células H1703, somente na presença de KRASG12V, indicando que a inibição das quinases Aurora afeta preferencialmente células portadoras de mutações em KRAS. Além disso, a inibição de AURKA e/ou AURKB reduziu propriedades malignas celulares relacionadas à agressividade tumoral, como migração, invasão e adesão. Finalmente, a inibição de AURKA por RNA de interferência em células A549 também reduziu a formação de tumores in vivo. Entretanto, como a inibição destas quinases levou a anomalias mitóticas e à instabilidade genética, nós resolvemos investigar se a inibição de TPX2, um substrato e ativador de AURKA, poderia ser uma abordagem alternativa para inibir esta via em câncer de pulmão induzido por KRAS. Primeiramente, nós observamos nos nossos modelos celulares que KRAS regula positivamente a expressão de TPX2. Além disso, a inibição de TPX2 em células pulmonares portadoras de KRAS oncogênica reduziu a viabilidade e proliferação celulares e induziu morte celular. Mais interessantemente, esses efeitos ocorreram preferencialmente em células que expressam KRAS oncogênica. Em conclusão, nossos resultados apoiam a hipótese de que a ativação de AURKA/TPX2 e AURKB por KRAS são eventos importantes no câncer de pulmão e sugerem a inibição destas vias, possivelmente em combinação com outras terapias citotóxicas, como uma nova abordagem terapêutica para o câncer de pulmão induzido por KRAS

Lung cancer is the leading cause of cancer-related deaths worldwide. KRAS mutations are widespread in lung cancer and have been causally linked to tumorigenesis. Nonetheless, therapies targeting KRAS directly have so far failed and characterization of indirect KRAS targets, which play important roles in KRAS-mediated oncogenesis, is crucial for the development of new therapies for lung cancer. We have previously shown that mitotic kinases Aurora A (AURKA) and B (AURKB) are downstream targets of oncogenic KRAS, important for the growth, viability, and oncogenicity of KRAS-transformed lung cancer cell lines. Here, we studied these kinases more in depth in order to better characterize them as potential therapeutical targets for KRAS-induced lung cancer. The aims of this study were (1) to investigate the mechanism leading to loss of viability upon AURKA and/or AURKB targeting; (2) to evaluate how AURKA and/or AURKB inhibition affects malignant properties associated with tumor aggressiveness; and (3) to determine whether AURKA and/or AURKB inhibition reduces KRAS-induced tumor growth in vivo. For that purpose, we used two cell-based models: (1) KRAS mutant A549 and H358 cells with stable and inducible shRNA-mediated knockdown of AURKA or AURKB, and (2) KRAS wildtype H1703 tumor cell lines, genetically engineered to inducibly express oncogenic KRASG12V treated or not with Aurora kinase pharmacological inhibitors. Targeting AURKA and/or AURKB pharmacologically or by RNA interference in H358 and A549 cells led to decreased cell proliferation, which was accompanied by mitotic abnormalities, leading to aneuploidy and hyperploidy. Aurora kinase targeting also induced cell death in vitro, both during mitosis and interphase. More importantly, AURKA and AURKB inhibition with a dual pharmacological inhibitor in H1703 cells induced cell death in vitro, but only in the presence of KRASG12V, indicating that Aurora kinase targeting affects preferentially lung cells harboring oncogenic KRAS. Furthermore, AURKA and/or AURKB targeting reduced malignant properties associated with tumor aggressiveness, such as cell migration, invasion and adhesion. Finally, AURKA targeting by RNA interference in A549 cells also reduced growth of xenograft tumors in vivo. Nonetheless, since Aurora targeting was associated with mitotic abnormalities and genetic instability, we decided to investigate if targeting TPX2, a substrate and an activator of AURKA, could constitute an alternative approach to targeting this pathway in KRAS-induced lung cancer. First, using our cell-based models, we determined that KRAS positively regulates TPX2 expression. In addition, TPX2 inhibition by RNA interference in KRAS-positive lung cells reduced cell viability and proliferation and induced cell death. Finally, these effects occurred preferentially in cells harboring oncogenic KRAS. In conclusion, our results support the hypothesis that activation of AURKA/TPX2 and AURKB by KRAS are important events in lung cancer and suggest inhibition of these pathways, possibly in combination with other cytotoxic therapies, as a new approach for KRAS-induced lung cancer therapy

Mismatch repair system in endometriotic tissue and eutopic endometrium of unaffected women.

OBJECTIVE: To test the immunohistochemical staining pattern of some mismatch repair (MMR) system proteins in endometriotic tissue (ET) and eutopic endometrium. METHODS: This was a retrospective study conducted at the Pathology and Obstetrics and Gynecology Departments of the Udine University Hospital. We analyzed 528 samples obtained from 246 patients affected by endometriosis and 71 samples from 71 patients with normal endometrium. A tissue microarray model was used to analyze the immunohistochemical expression of MMR system proteins. RESULTS: Significant loss of MMR proteins was found in the stromal component of ETs. We found MSH2 to be expressed at a higher level than any other MMR system proteins in eutopic endometrium and ETs, to be significantly correlated to Ki-67 expression in both stromal and glandular components of ETs, and to be expressed at a significantly higher level in ETs than in eutopic endometrium. When considering the subgroup of endometriosis with high recurrence rate and glandular cytoplasmic staining for aurora A kinase, we found MMR proteins expressed at a significantly higher level in these ETs than in other ETs and eutopic endometrium of unaffected women. CONCLUSIONS: We found significant loss of MMR proteins (known to be associated with microsatellite instability) in the stromal component of ETs. The group of ETs with glandular cytoplasmic staining for aurora A kinase had higher MMR protein expression, suggesting an increased activity of this system. Our result suggests a novel role of increased MSH2 expression in cellular proliferation of endometriosis.

Expression of proliferation markers Ki67, cyclin A, geminin and aurora-kinase A in primary breast carcinomas and corresponding distant metastases.

AIMS: To assess the expression of the following cell cycle regulatory proteins in primary metastatic breast carcinomas (MBCs) and on availability in matched distant metastases (DMs): Ki67, cyclin A, geminin and aurora-kinase A (aurkA); and to compare the expression of these markers in early MBC (EMBC) and late MBC separated into groups according to median time point on metastatic event occurred (28 months). METHODS: The expression of the above mentioned markers was analysed in a total of 47 primary MBCs and 59 DMs (out of which 37 were pairs) by immunohistochemistry. Fourteen breast carcinomas with no relapse over a 10-year follow-up period were utilised as control cases (CBC). RESULTS: Among the MBCs, 22 metastasised to the bone, 4 to the lung and 21 to the central nervous system (CNS). Geminin (p<0.001) and Ki67 (p=0.001) were increased in the MBCs while aurkA and cyclin A showed no difference when compared with CBCs. There were no differences between aurkA, cyclin A and geminin expression in MBCs and DMs in general. Expression of Ki67 was, however, elevated (p=0.027) in DMs. In CNS metastases all markers showed elevated expression as compared to MBCs. In bone metastases, geminin was lower (p<0.001) compared with primary MBCs. In the metastases of the lung, the evaluated markers did not show different expression. According to the median follow-up until the metastatic event, Ki67 was found to be significantly elevated in EMBC (p=0.018). CONCLUSIONS: Ki67 index and geminin distinguish a fraction of MBC with worse prognosis, showing increased levels in the latter in comparison to CBC being tumour-free over a 10-year follow-up period. Ki67 could possibly identify a group of MBCs that develop early DMs.

Aurora kinase A is superior to Ki67 as a prognostic indicator of survival in neuroblastoma.

AIMS: To compare the expression and prognostic value of the cell cycle markers Aurora kinase A (AURKA) and Ki67 in neuroblastoma, because AURKA expression levels have greater prognostic significance than those of Ki67 in some cancers. METHODS AND RESULTS: Eighty-eight neuroblastomas were immunostained with anti-AURKA and Ki67 antibodies. Digitally scanned slides were scored using imaging analysis software. Median AURKA and Ki67 proliferation indices (PIs) were 1.5% and 26%, respectively. Higher than median AURKA and Ki67 levels were detected in the neuroblastomas from patients belonging to the high-risk group, those with MYCN amplification, and those with unfavourable pathology, including a high mitosis-karyorrhexis index (MKI). High AURKA and Ki67 levels were significantly associated with shorter overall survival (OS) and event-free survival (EFS) in univariate analyses. In multivariate analyses, high AURKA level was associated with significantly shorter OS and EFS, independently of risk group, and of MYCN amplification and MKI. High Ki67 level was not associated with shorter OS or EFS after adjustment for risk group or MYCN amplification and MKI. CONCLUSIONS: High AURKA and Ki67 levels were associated with adverse prognostic factors and shorter survival, but AURKA provides more valuable prognostic information than Ki67 in neuroblastoma.

Aurora A overexpression in breast cancer patients induces taxane resistance and results in worse prognosis.

PURPOSE: The aim of this study was to determine the expression level of Aurora A in human breast cancer tissues and to test whether there is a relationship between its expression levels and clinicopathological parameters including response to taxanes, tumor grade, estrogen receptor (ER) status, human epidermal growth factor receptor 2 (HER2) status, and overall survival (OS). METHODS: We retrospectively analyzed paraffin-embedded tissue sections from 49 metastatic breast cancer patients whose clinical outcomes had been tracked after taxane treatment. The expression status of Aurora A was defined by immunohistochemistry (IHC) using the anti-Aurora A antibody. RESULTS: Aurora A was overexpressed in 73% of the examined specimens. There was significant correlation between high Aurora A expression and decreased taxane sensitivity (p=0.02). There was no association between the clinicopathological parameters including histologic grade, ER positivity and triple negative molecular subtype and the level of Aurora A expression. However, HER2 positive tumors showed significantly higher Aurora A expression compared with HER2 negative tumors (p=0.02). Kaplan-Meier survival analysis failed to show a significant correlation between expression levels of Aurora A and OS although patients with low Aurora A levels had a marginally longer survival compared to patients with high levels. CONCLUSION: Our data suggest that Aurora A may be a promising predictive and prognostic marker in patients with breast cancer.

Expression of regulators of mitotic fidelity are associated with intercellular heterogeneity and chromosomal instability in primary breast cancer.

Regulators of transition through mitosis such as SURVIVIN and Aurora kinase A (AURKA) have been previously implicated in the initiation of chromosomal instability (CIN), a driver of intratumour heterogeneity. We investigate the relationship between protein expression of these genes and directly quantified CIN, and their prognostic utility in breast cancer. The expression of SURVIVIN and AURKA was determined by immunohistochemistry in a cohort of 426 patients with primary breast cancer. The association between protein expression and histopathological characteristics, clinical outcome and CIN status, as determined by centromeric FISH and defined by modal centromere deviation, was analysed. Significantly poorer clinical outcome was observed in patients with high AURKA expression levels. Expression of SURVIVIN was elevated in ER-negative relative to ER-positive breast cancer. Both AURKA and SURVIVIN increased expression were significantly associated with breast cancer grade. There was a significant association between increased CIN and both increased AURKA and SURVIVIN expression. AURKA gene amplification was also associated with increased CIN. To our knowledge this is the largest study assessing CIN status in parallel with the expression of the mitotic regulators AURKA and SURVIVIN. These data suggest that elevated expression of AURKA and SURVIVIN, together with AURKA gene amplification, are associated with increased CIN in breast cancer, and may be used as a proxy for CIN in breast cancer samples in the absence of more advanced molecular measurements.

Prognostic role of Aurora-A expression in metastatic colorectal cancer patients.

PURPOSE: Aurora kinase family plays an important role in mitosis and cell cycle organization. Aurora-A is an important member of the aurora kinase family and its expression increases the genomic instability and contributes to carcinogenesis. In this study, the prognostic role of Aurora-A expression in colorectal cancer (CRC) was assessed. METHODS: Metastatic CRC patients, whose diagnoses were histopathologically confirmed and who were followed up at the Antalya Education and Research Hospital between 2008 and 2010, were included in the study. Aurora-A expression was assessed with immunohistochemistry. RESULTS: A total of 40 patients were included in the study. Aurora-A expression was determined as positive in 33 (82.5%) patients and as negative in 7 (17.5%). No significant correlation was determined between Aurora-A expression and tumor location, metastatic location and histological subtype (p=0.549, 0.511, and 0.709, respectively). Also, no significant correlation was determined between Aurora-A expression and overall survival (p=0.202). Median survival was 8.7 months (95) confidence interval/CI 6.9-10.4) in patients with negative Aurora-A expression, whereas it was 22.6 months (95% CI 12-33.3) in patients with positive Aurora-A expression (p=0.202). CONCLUSION: Despite the lack of statistical significance, we speculate that Aurora-A overexpression may have a positive effect on the survival of patients. With this regard, there is a need for further comprehensive studies examining the relation and effect of Aurora-A expression on survival and response to treatment.

Applications of pathology-assisted image analysis of immunohistochemistry-based biomarkers in oncology.

Immunohistochemistry-based biomarkers are commonly used to understand target inhibition in key cancer pathways in preclinical models and clinical studies. Automated slide-scanning and advanced high-throughput image analysis software technologies have evolved into a routine methodology for quantitative analysis of immunohistochemistry-based biomarkers. Alongside the traditional pathology H-score based on physical slides, the pathology world is welcoming digital pathology and advanced quantitative image analysis, which have enabled tissue- and cellular-level analysis. An automated workflow was implemented that includes automated staining, slide-scanning, and image analysis methodologies to explore biomarkers involved in 2 cancer targets: Aurora A and NEDD8-activating enzyme (NAE). The 2 workflows highlight the evolution of our immunohistochemistry laboratory and the different needs and requirements of each biological assay. Skin biopsies obtained from MLN8237 (Aurora A inhibitor) phase 1 clinical trials were evaluated for mitotic and apoptotic index, while mitotic index and defects in chromosome alignment and spindles were assessed in tumor biopsies to demonstrate Aurora A inhibition. Additionally, in both preclinical xenograft models and an acute myeloid leukemia phase 1 trial of the NAE inhibitor MLN4924, development of a novel image algorithm enabled measurement of downstream pathway modulation upon NAE inhibition. In the highlighted studies, developing a biomarker strategy based on automated image analysis solutions enabled project teams to confirm target and pathway inhibition and understand downstream outcomes of target inhibition with increased throughput and quantitative accuracy. These case studies demonstrate a strategy that combines a pathologist's expertise with automated image analysis to support oncology drug discovery and development programs.

Prediction of Oncotype DX and TAILORx risk categories using histopathological and immunohistochemical markers by classification and regression tree (CART) analysis.

Oncotype DX is an RT-PCR assay used to predict which patients with ER-positive node-negative (NN) disease will benefit from chemotherapy. Each patient is stratified into a risk category based on a recurrence score (RS) and the TAILORx trial is determining the benefit of chemotherapy for patients with mid-range RSs. We tested if Oncotype DX and TAILORx risk categories could be predicted by standard pathological features and protein markers corresponding to 10 genes in the assay (ER, PR, Ki67, HER2, BCL2, CD68, Aurora A kinase, survivin, cyclin B1 and BAG1) on 52 patients who enrolled on TAILORx. Immunohistochemistry for the protein markers was performed on whole tissue sections. Classification and regression tree (CART) analysis correctly classified 69% of cases into Oncotype DX risk categories based on the expression of PR, survivin and nuclear pleomorphism. All tumours with PR staining (Allred score ≥ 2) and marked nuclear pleomorphism were in the high-risk category. No case with PR <2, low survivin (≤ 15.5%) and nuclear pleomorphism <3 was high-risk. Similarly, 77% of cases were correctly classified into TAILORx categories based on nuclear pleomorphism, survivin, BAG1 and cyclin B1. Ki67 was the only variable that predicted the absolute RS with a cut-off for positivity of 15% (p = 0.003). In conclusion, CART revealed key predictors including proliferation markers, PR and nuclear pleomorphism that correctly classified over two thirds of ER-positive NN cancers into Oncotype DX and TAILORx risk categories. These variables could be used as an alternative to the RT-PCR assay to reduce the number of patients requiring Oncotype DX testing.

A comprehensive analysis of Aurora A; transcript levels are the most reliable in association with proliferation and prognosis in breast cancer.

BACKGROUND: Aurora A kinase, a centrosomal serine/threonine kinase which plays an essential role in chromosome segregation during cell division, is commonly amplified and/or over expressed in human malignancies. Aurora A is suggested to be one of the proliferation parameters which is an independent prognostic factor for early invasive breast cancer patients; however the individual clinical or prognostic relevance of this gene has been a matter of debate. METHODS: A comprehensive analysis of Aurora A at the levels of gene expression, gene copy number and protein expression was performed for 278 primary invasive breast cancer patients; and the correlation with clinical outcomes were investigated. RESULTS: Aurora A gene expression level not only correlated with gene amplification, but was also significantly associated with several clinicopathological parameters and patient prognosis. Patients with higher nuclear grade, negative progesterone receptor status and higher Ki67 expressed higher levels of Aurora A mRNA, which was associated not only with poor relapse-free survival (RFS) but was also found to be a significant multivariate parameter for RFS. Aurora A protein expression was also significantly associated with clinicopathological characteristics; lymph node status, nuclear grade, estrogen receptor status and Ki67, but not with prognosis. By contrast, Aurora A gene amplification correlated with tumor size, nuclear grade and Ki67, and had no prognostic value. CONCLUSION: Our data indicate that Aurora A gene expression is an effective tool, which defines both tumor proliferation potency and patient prognosis.

Differential expression of aurora-A kinase in T-cell lymphomas.

Aurora-A is a mitotic kinase implicated in oncogenesis and is known to be overexpressed in B-cell lymphomas and plasma cell myeloma. The expression of Aurora-A kinase (henceforth referred to as Aurora-A) in T-cell lymphomas is not well characterized. In this study, we assessed Aurora-A expression by immunohistochemical analysis in 100 lymphomas encompassing a variety of T-cell lymphomas as categorized in the World Health Organization classification. Aurora-A expression was highest in anaplastic large-cell lymphomas and variably expressed in other types of T-cell lymphomas. In addition, the pattern of Aurora-A expression was predominantly cytoplasmic in ALK-positive anaplastic large-cell lymphoma and was nuclear in ALK-negative anaplastic large-cell lymphoma and other T-cell lymphomas, suggesting altered biochemical mechanisms of Aurora-A nuclear transport in ALK-positive anaplastic large-cell lymphoma. Reverse transcriptase-PCR analysis showed that Aurora-A is more highly expressed in ALK-positive anaplastic large-cell lymphoma than in ALK-negative anaplastic large-cell lymphoma, and is relatively lower in peripheral T-cell lymphomas. Using western blot analysis and the DEL cell line (derived from ALK-positive anaplastic large-cell lymphoma), we showed that Aurora-A expression is decreased after treatment with either MYC or MEK inhibitors, consistent with the MYC and MAP kinase signaling pathways being involved in driving Aurora-A expression; the greatest decrease was observed after MYC inhibition. These findings provide insights into the possible importance of Aurora-A overexpression in anaplastic large-cell lymphoma pathogenesis, and also suggest that Aurora-A inhibition could be a potential therapeutic approach for patients with anaplastic large-cell lymphoma.