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Background: Dual HER2-inhibition combined with neoadjuvant chemotherapy allows increased pathological complete response (pCR) rate. However, with the addition of new agents, there is a growing need to select patients to minimise overtreatment. Herein, we evaluated the 41-gene classifier TRAR to predict pCR to anti-HER2 therapies in the NeoALTTO trial. Patients and methods: Gene expression data were obtained using RNA from 226 pretreatment tumour biopsies. Logistic regression analysis and the area under the receiver operating characteristic (ROC) curve (AUC) were used to evaluate TRAR predictive and discriminatory capabilities. Results: TRAR levels were associated with pCR (odds ratio, OR: 0.25, 95% confidence interval, CI: 0.15–0.42). The ROC analysis showed AUC values of 0.73 (95% CI: 0.67–0.80) overall; 0.70 (0.59–0.81) and 0.71 (0.62–0.80) for positive and negative oestrogen receptor cases and 0.74 (0.60–0.88), 0.76 (0.65–0.87) and 0.71 (0.59–0.83) for trastuzumab, lapatinib and combined treatment arms, respectively. TRAR provided reliable predictive information beyond established clinicopathological variables (OR: 0.26, 95% CI: 0.14–0.47). Furthermore, addition of TRAR to these variables provided greater predictive capability than the addition of PAM50: AUC 0.78 (0.72–0.84) versus 0.74 (0.67–0.81), p = 0.04. Conclusion: TRAR represents a promising tool to refine the ability to identify patients sensitive to anti-HER2 (including trastuzumab-only)-based therapy and eligible for de-escalated treatment strategies., SCOPUS: ar.j, info:eu-repo/semantics/published

Purpose: Little is known about the efficacy of HER2-targeted therapy in patients with breast cancer showing different HER2-pathway dependence and immune phenotypes. Herein, we report a NeoALTTO exploratory analysis evaluating the clinical value of 22 types of tumor-infiltrating immune cells by CIBERSORT and 5 immune-related metagenes in the overall patient population, and in subgroups defined by the TRAR classifier as HER2-addicted (TRAR-low) or not (TRAR-high). Patients and Methods: Association of baseline TRAR, immune-related metagenes, and CIBERSORT data with pathologic complete response (pCR) and event-free survival (EFS) were assessed using logistic and Cox regression models. Corrections for multiple testing were performed by the Bonferroni method. Results: A total of 226 patients were analyzed: 80 (35%) achieved a pCR, and 64 (28%) experienced a relapse with a median follow-up of 6.7 (interquartile range 6.1–6.8) years; 108 cases were classified as TRAR-low, and 118 TRAR-high. Overall, γδ T-cell fraction [OR = 2.69; 95% confidence interval (CI), 1.40–5.18], and no immune-related metagenes were predictive of pCR. Notably, lymphocyte-specific kinase (LCK) predicted pCR to combination (OR = 2.53; 95% CI, 1.12–5.69), but not to single-agent trastuzumab or lapatinib [OR = 0.74; 95% CI, 0.45–1.22 (Pinteraction = 0.01)]. Integrating LCK with γδ T cells in a multivariate model added to the discriminatory capability of clinical and molecular variables with a shift in AUC from 0.80 (95% CI, 0.74–0.86) to 0.83 (95% CI, 0.78–0.89). In TRAR-low cases, activated mast cells, IFN and MHCII were reduced, and STAT1, HCK1, and γδ T cells were associated with pCR. STAT1 was broadly associated with improved EFS regardless of pCR, and nodal status in overall (HR = 0.68; 95% CI, 0.49–0.94) and in TRAR-low cases (HR = 0.50; 95% CI, 0.30–0.86). Conclusions: Immuno-phenotyping holds the promise to complement current predictive models in HER2-positive breast cancer and to assist in new therapeutic development.

Circulating microRNA (ct-miRNAs) are able to identify patients with differential response to HER2-targeted therapy. However, their dynamics are largely unknown. We assessed 752 miRNAs from 52 NeoALTTO patients with plasma pairs prior and two weeks after trastuzumab. Increased levels of ct-miR-148a-3p and ct-miR-374a-5p were significantly associated with pathological complete response (pCR) (p = 0.008 and 0.048, respectively). At a threshold &ge, the upper limit of the 95%CI of the mean difference, pCR resulted 45% (95%CI 24%&ndash, 68%), and 44% (95%CI 22%&ndash, 69%) for ct-miR-148a-3p and ct-miR-374a-5p, respectively. Notably, ct-miR-148a-3p retained its predictive value (OR 3.42, 95%CI 1.23&ndash, 9.46, p = 0.018) in bivariate analysis along with estrogen receptor status. Combined information from ct-miR-148a-3p and ct-miR140-5p, which we previously reported to identify trastuzumab-responsive patients, resulted in greater predictive capability over each other, with pCR of 54% (95%CI 25%&ndash, 81%) and 0% (95%CI 0%&ndash, 31%) in ct-miR-148a/ct-miR-140-5p high/present and low/absent, respectively. GO and KEGG analyses showed common enriched terms between the targets of these ct-miRNAs, including cell metabolism regulation, AMPK and MAPK signaling, and HCC progression. In conclusion, early modulated ct-miR-148-3p may inform on the functional processes underlying treatment response, integrate the information from already available predictive biomarkers, and identify patients likely to respond to single agent trastuzumab-based neoadjuvant therapy.

Motor deficits are common outcomes of neurological conditions such as stroke. In order to design personalised motor rehabilitation programmes such as robot-assisted therapy, it would be advantageous to predict how a patient might respond to such treatment. Spontaneous neural activity has been observed to predict differences in the ability to learn a new motor behaviour in both healthy and stroke populations. This study investigated whether spontaneous resting-state functional connectivity could predict the degree of motor adaptation of right (dominant) upper limb reaching in response to a robot-mediated force field. Spontaneous neural activity was measured using resting-state electroencephalography (EEG) in healthy adults before a single session of motor adaptation. The degree of beta frequency (β; 15–25 Hz) resting-state functional connectivity between contralateral electrodes overlying the left primary motor cortex (M1) and the anterior prefrontal cortex (aPFC) could predict the subsequent degree of motor adaptation. This result provides novel evidence for the functional significance of resting-state synchronization dynamics in predicting the degree of motor adaptation in a healthy sample. This study constitutes a promising first step towards the identification of patients who will likely gain most from using robot-mediated upper limb rehabilitation training based on simple measures of spontaneous neural activity.

BACKGROUND: As a neoadjuvant regimen for HER2-positive early breast cancer (BC), the use of two HER2-directed agents is more effective in producing pathological complete (pCR) responses than trastuzumab alone. Nevertheless, highly effective dual anti-HER2 combination may be unnecessary in patients who already benefit from a single agent. We previously reported that our 41-gene TRAR score is an accurate predictor of response to trastuzumab, with low scores being predictive of response to trastuzumab and favorable prognosis (Triulzi T. et al., 2015). PATIENTS AND METHODS: Tissue specimens from HER2-positive BC patients of Neo-ALTTO trial who received neoadjuvant trastuzumab and/or lapatinib plus paclitaxel were included in this study. Analysing RNA from fresh tissue using the 41-gene signature test, the area under the ROC curve (AUC) and the corresponding 95% confidence interval was computed to evaluate the predictive ability of TRAR score with respect to pCR, the primary endpoint of Neo-ALTTO. The prognostic role of TRAR score was investigated using a Cox regression model in univariate fashion. The patterns of Event Free Survival (EFS) according to the dichotomized TRAR score were estimated using the Kaplan–Meier method. RESULTS: The TRAR score was assessed for 226 of the 455 (49.7%) patients enrolled in the Neo-ALTTO study: 136 (60%) presented with T2 tumors, 188 (83%) with N0/1 and 128 (56.6%) with estrogen receptor negative BC. In details, basal TRAR score was available for 69, 79 and 78 patients assigned to neoadjuvant trastuzumab, lapatinib, and their combination, respectively. Overall, patients achieving a pCR showed significantly lower levels of TRAR score than those with residual disease (p CONCLUSION: Overall, we show that our 41-gene signature is accurate in predicting patient response to neoadjuvant HER2 targeted therapy in terms of pCR. In particular, low levels of TRAR score can identify a HER2-positive breast cancer subgroup highly responsive to trastuzumab as monotherapy for whom combination with other HER2-targeted drugs does not appear justified and may be one tool used for exploring de-escalating strategies without sacrificing outcomes. Citation Format: Di Cosimo S, Triulzi T, De Cecco L, Pizzamiglio S, de Azambuja E, Fumagalli D, Pusztai L, Harbeck N, Izquierdo M, de la Pena L, Huober J, Baselga J, Piccart M, Verderio P, Tagliabue E. Identifying clinically relevant subgroups of women with HER2-positive breast cancer: An analysis of Neo-ALTTO using the 41-gene TRAR score [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P2-09-03.

Background Gait impairments during real-world locomotion are common in neurological diseases. However, very little is currently known about the neural correlates of walking in the real world and on which regions of the brain are involved in regulating gait stability and performance. As a first step to understanding how neural control of gait may be impaired in neurological conditions such as Parkinson’s disease, we investigated how regional brain activation might predict walking performance in the urban environment and whilst engaging with secondary tasks in healthy subjects. Methods We recorded gait characteristics including trunk acceleration and brain activation in 14 healthy young subjects whilst they walked around the university campus freely (single task), while conversing with the experimenter and while texting with their smartphone. Neural spectral power density (PSD) was evaluated in three brain regions of interest, namely the pre-frontal cortex (PFC) and bilateral posterior parietal cortex (right/left PPC). We hypothesized that specific regional neural activation would predict trunk acceleration data obtained during the different walking conditions. Results Vertical trunk acceleration was predicted by gait velocity and left PPC theta (4–7 Hz) band PSD in single-task walking (R-squared = 0.725, p = 0.001) and by gait velocity and left PPC alpha (8–12 Hz) band PSD in walking while conversing (R-squared = 0.727, p = 0.001). Medio-lateral trunk acceleration was predicted by left PPC beta (15–25 Hz) band PSD when walking while texting (R-squared = 0.434, p = 0.010). Conclusions We suggest that the left PPC may be involved in the processes of sensorimotor integration and gait control during walking in real-world conditions. Frequency-specific coding was operative in different dual tasks and may be developed as biomarkers of gait deficits in neurological conditions during performance of these types of, now commonly undertaken, dual tasks.

Central nervous system (CNS) tumors are the most common solid tumors in childhood. Since the sensitivity of combined cerebrospinal fluid (CSF) cytology and radiological neuroimaging in detecting meningeal metastases remains relatively low, we sought to characterize the CSF proteome of patients with CSF tumors to identify biomarkers predictive of metastatic spread. CSF samples from 27 children with brain tumors and 13 controls (extra-CNS non-Hodgkin lymphoma) were processed using core-shell hydrogel nanoparticles, and analyzed with reverse-phase liquid chromatography/electrospray tandem mass spectrometry (LC-MS/MS). Candidate proteins were identified with Fisher's exact test and/or a univariate logistic regression model. Reverse phase protein array (RPPA), Western blot (WB), and ELISA were used in the training set and in an independent set of CFS samples (60 cases, 14 controls) to validate our discovery findings. Among the 558 non-redundant proteins identified by LC-MS/MS, 147 were missing from the CSF database at http://www.biosino.org. Fourteen of the 26 final top-candidate proteins were chosen for validation with WB, RPPA and ELISA methods. Six proteins (type 1 collagen, insulin-like growth factor binding protein 4, procollagen C-endopeptidase enhancer 1, glial cell-line derived neurotrophic factor receptor α2, inter-alpha-trypsin inhibitor heavy chain 4, neural proliferation and differentiation control protein-1) revealed the ability to discriminate metastatic cases from controls. Combining a unique dataset of CSFs from pediatric CNS tumors with a novel enabling nanotechnology led us to identify CSF proteins potentially related to metastatic status.

Within the EU-SPIDIA project (www.spidia.eu), the quality parameters of blood genomic DNA were defined [SPIDIA-DNA: an External Quality Assessment for the pre-analytical phase of blood samples used for DNA-based analyses – [1]; Influence of pre-analytical procedures on genomic DNA integrity in blood samples: the SPIDIA experience – [2]; Combining qualitative and quantitative imaging evaluation for the assessment of genomic DNA integrity: the SPIDIA experience – [3]. DNA quality parameters were used to evaluate the laboratory performance within an External Quality Assessment (EQA) [Second SPIDIA-DNA External Quality Assessment (EQA): Influence of pre-analytical phase of blood samples on genomic DNA quality – [4]. These parameters included DNA purity and yield by UV spectrophotometric measurements, the presence of PCR interferences by Kineret software and genomic DNA integrity analysis by Pulsed Field Gel Electrophoresis.Here we present the specific laboratory report of the 2nd SPIDIA-DNA EQA as an example of data and performances evaluation.

Background In order to develop evidence-based quality guidelines for the pre-analytical phase of blood samples used for DNA molecular testing, two pan-European External Quality Assessments (EQAs) were implemented within the European Commission funded project SPIDIA. Here we report the results of the 2nd SPIDIA EQA that has been implemented on the basis of the 1st DNA EQA with the inclusion of some stringent conditions related to blood storage temperature and time. Methods SPIDIA facility sent to all the participants the same blood sample to be processed by their own procedure following SPIDIA suggestion for time and temperature storage. Evaluated genomic DNA (gDNA) quality parameters were: purity and yield by UV spectrophotometric analysis, PCR interferences by Kineret software and integrity by a dedicated algorithm. Results/conclusions 188 applications have been collected from 26 European countries. A high variability of gDNA integrity was observed whereas purity, yield and PCR interferences had a narrow distribution within laboratories. A dedicated analysis on pre-analytical variables and the evaluated gDNA quality parameters showed that blood storage and DNA extraction procedures influence gDNA integrity. The performances of the participants were improved in comparison with the 1st SPIDIA-DNA EQA, probably due to adopted more stringent pre-analytical conditions.

Purpose: To investigate the potential of circulating-miRNAs (ct-miRNA) as noninvasive biomarkers to predict the efficacy of single/dual HER2-targeted therapy in the NeoALTTO study. Experimental Design: Patients with plasma samples at baseline (T0) and/or after 2 weeks (T1) of treatment were randomized into training (n = 183) and testing (n = 246) sets. RT-PCR–based high-throughput miRNA profiling was employed in the training set. After normalization, ct-miRNAs associated with pathologic complete response (pCR) were identified by univariate analysis. Multivariate logistic regression models were implemented to generate treatment-specific signatures at T0 and T1, which were evaluated by RT-PCR in the testing set. Event-free survival (EFS) according to ct-miRNA signatures was estimated by Kaplan–Meier method and Cox regression model. Results: In the training set, starting from 51 ct-miRNAs associated with pCR, six signatures with statistically significant predictive capability in terms of area under the ROC curve (AUC) were identified. Four signatures were confirmed in the testing set: lapatinib at T0 and T1 [AUC 0.86; 95% confidence interval (CI), 0.73–0.98 and 0.71 (0.55–0.86)], respectively; trastuzumab at T1 (0.81; 0.70–0.92); lapatinib + trastuzumab at T1 (0.67; 0.51–0.83). These signatures were confirmed predictive after adjusting for known variables, including estrogen receptor status. ct-miRNA signatures failed to correlate with EFS. However, the levels of ct-miR-140-5p, included in the trastuzumab signature, were associated with EFS (HR 0.43; 95% CI, 0.22–0.84). Conclusions: ct-miRNAs discriminate patients with and without pCR after neoadjuvant lapatinib- and/or trastuzumab-based therapy. ct-miRNAs at week two could be valuable to identify patients responsive to trastuzumab, to avoid unnecessary combination with other anti-HER2 agents, and finally to assist deescalating treatment strategies.

Background: Patients with extremity and trunk wall soft tissue sarcoma (STS) with high malignancy grade and size >5 cm are at high-risk of death. This risk varies depending also on other patient and tumour features, including histologic subtype. This study investigated whether a prognostic nomogram can improve risk assessment of these patients. Methods: Data from high-risk STS patients enrolled in a randomised controlled trial investigating different perioperative chemotherapy regimens were analysed. Ten-year probability of overall survival (OS) and incidence of distant metastasis (DM) were computed using the prognostic nomogram Sarculator (pr-OS and inc-DM, respectively). Tumour response according to RECIST and Choi criteria was also investigated. Findings: Variation in pr-OS and inc-DM were observed and patients stratified in three prognostic groups. The 10-year OS in the low, intermediate, and high pr-OS categories were 0.42 (95%CI 0.32-0.52), 0.63 (95%CI 0.53-0.72), and 0.78 (95%CI 0.68-0.85), respectively. Patients in the intermediate (HR 0.51, P = 0.002) and high (HR 0.28, P < 0.001) pr-OS categories were at statistically significant lower risk of death compared with those in the low pr-OS category. Higher rate of Choi partial tumour responses were detected in intermediate pr-OS category. Tumour response according to Choi but not to RECIST criteria stratified patient survival of pr-OS categories, particularly for patients with intermediate to low pr-OS. Analyses conducted for 10-year inc-DM were consistent with results for pr-OS for prognostic value of Sarculator predictions and Choi tumour response. Interpretation: Sarculator identifies variations in outcomes of high-risk STS treated with perioperative chemotherapy and improve prognostic classification, which is also associated with different patterns of tumour response, an outcome that further stratifies survival particularly for patients predicted at higher risk. Future trials investigating neoadjuvant chemotherapy should consider prognostic tool for selecting patients to be enrolled. (C) 2018 Elsevier Ltd. All rights reserved.

The emergence of smart phones has had a positive impact on society as the range of features and automation has allowed people to become more productive while they are on the move. On the contrary, the use of these devices has also become a distraction and hindrance, especially for pedestrians who use their phones whilst walking on the streets. This is reinforced by the fact that pedestrian injuries due to the use of mobile phones has now exceeded mobile phone related driver injuries. This paper describes an approach that measures the different levels of distraction encountered by pedestrians whilst they are walking. To distinguish between the distractions within the brain the proposed work analyses data collected from mobile sensors (accelerometers for movement, mobile EEG for electroencephalogram signals from the brain). The long-term motivation of the proposed work is to provide pedestrians with notifications as they approach potential hazards while they walk on the street conducting multiple tasks such as using a smart phone.

Background Currently used CA15–3 and CEA have found their clinical application particularly in the follow-up of patients with advanced disease. Novel biomarkers are urgent, especially for improving early diagnosis as well as for discriminating between benign and malignant disease. Patients and methods In the present study, we used a proteomic approach based on surface-enhanced laser desorption/ionization–time of flight–mass spectrometry screening with the aim of identifying differentially expressed 2–30 kDa proteins in plasma of patients with malignant (65 cases) and benign (88 cases) breast lesions with respect to 121 healthy controls. Results We found that the most promising SELDI peaks were those corresponding to hepcidin-25 and ferritin light chain. We evaluated the capability of these peaks in predicting malignant and benign breast lesions using the area under the receiver operating characteristic curve (AUC). The results showed a good capacity to predict malignant breast lesions for hepcidin-25 [AUC: 0.82; 95% confidence interval (CI) 0.75–0.90] and ferritin light chain (AUC: 0.86; 95% CI 0.79–0.92). Conversely, a weak and satisfactory capability to predict benign breast lesion was observed for hepcidin-25 (AUC: 0.63; 95% CI 0.41–0.85) and ferritin light chain (AUC: 0.73; 95% CI 0.49–0.97). A significant association between HER2 status and hepcidin-25 was observed and the distribution of transferrin and ferritin were found significantly different in patients with breast cancer when compared with that of controls. Conclusions This study provides evidence that hepcidin and ferritin light chain level in plasma may be of clinical usefulness to predict malignant and benign disease with respect to healthy controls.

In this note, we present an ad hoc procedure that combines qualitative (visual evaluation) and quantitative (ImageJ software) evaluations of Pulsed-Field Gel Electrophoresis (PFGE) images to assess the genomic DNA (gDNA) integrity of analyzed samples. This procedure could be suitable for the analysis of a large number of images by taking into consideration both the expertise of researchers and the objectiveness of the software. We applied this procedure on the first SPIDIA DNA External Quality Assessment (EQA) samples. Results show that the classification obtained by this ad hoc procedure allows a more accurate evaluation of gDNA integrity with respect to a single approach.

The diagnostic use of in vitro molecular assays can be limited by the lack of guidelines for collection, handling, stabilization and storage of patient specimens. One of the major goals of the EC funded project SPIDIA (www.spidia.eu) is to develop evidence-based quality guidelines for the pre-analytical phase of blood samples used for molecular testing which requires intracellular RNA analytes. To this end, a survey and a pan-European external quality assessment (EQA) were implemented. This report is the summary of the results of that trial. With the European Federation of Laboratory Medicine (EFLM) support, 124 applications for participation in the trial were received from 27 different European countries, and 102 laboratories actually participated in the trial. Each participating laboratory described their respective laboratory policies and practices as well as blood collection tubes typically used in performing this type of testing. The participating laboratories received two identical blood specimens: in an EDTA tubes (unstabilized blood; n=67) or in tubes designed specifically for the stabilization of intracellular RNA in blood (PAXgene® Blood RNA tubes; n=35). Laboratories were requested to perform RNA extraction according to the laboratory's own procedure as soon as possible upon receipt of the tubes for one tube and 24h after the first extraction for the second tube. Participants (n=93) returned the two extracted RNAs to SPIDIA facility for analysis, and provided details about the reagents and protocols they used for the extraction. At the SPIDIA facility responsible for coordinating the study, the survey data were classified, and the extracted RNA samples were evaluated for purity, yield, integrity, stability, and the presence of interfering substances affecting RT-qPCR assays. All participants received a report comparing the performance of the RNA they submitted to that of the other participants. All the results obtained by participants for each RNA quality parameter were classified as "in control", "warning", "out of control" and "missing" by consensus mean analysis. From the survey data, the most variable parameters were the volume of blood collected and the time and storage temperature between blood collection and RNA extraction. Analyzing the results of quality testing of submitted RNA samples we observed a data distribution of purity, yield, and presence of assay interference in agreement with expected values. The RNA Integrity Number (RIN) values distribution was, on the other hand, much wider than the optimal expected value, which led to an "in control" classification, even for partly degraded RNA samples. On the other hand, RIN values below 5 significantly correlated with a reduction of GAPDH expression levels. Furthermore, the distribution of the values of the four transcripts investigated (c-fos, IL-1β, IL-8, and GAPDH) was wide and the RNA instability between samples separated by 24h were similar. Assuming the presence of at least two quality parameters "out of control" as an indication of a critical performance of the laboratory, 33% of the laboratories were included in this group. The results of this study will be the basis for implementing a second pan-European EQA and the results of both EQAs will be pooled and will provide the basis for the implementation of evidence-based guidelines for the pre-analytical phase of RNA analysis of blood samples.

article i nfo Background: Although important improvements of downstream molecular in vitro diagnostics assays based on RNA from blood were made, the pre-analytical workflow is still poorly defined. Methods: We performed a multicenter study within the EU-granted SPIDIA project to investigate blood col- lection and shipping influence on the following RNA quality parameters: yield, purity, integrity, RT-qPCR in- terference and IL1B, IL8, FOS and GAPDH gene expression. Two models were designed: Exp A. Ten laboratories collected blood from an own donor into two different tubes (with or without stabilizer) and extracted RNA at two different times; Exp B. Blood was drawn from a single donor and shipped to ten labo- ratories in two different tubes (with or without stabilizer) for RNA extraction. Results: In both models and collection tubes, reliable results were obtained for purity, yield, GAPDH expres- sion, and interferences. A substantial variation in RIN (Exp A) and in transcription levels of IL1B, IL8 and FOS (Exp B) was observed for blood collected in tube without stabilizer tubes. Overall the variability was higher among data obtained from unstabilized blood samples. Conclusions: We defined the experimental setup for a larger ring trial throughout Europe. The chosen down- stream analyses verified their potential, serving as adequate markers to test the quality of blood RNA.

11558Background: We already reported (Cancer 2012;118:5857) the correlation of Choi criteria (Choi) and RECIST with outcome of pts affected by high-risk STS entering a multicentric Italian/Spanish ...

11518Background: To determine whether high-risk STS patients identified using individual patient data and the nomogram Sarculator, benefitted from adjuvant chemotherapy in a RCT which failed to det...

Zito F A, Verderio P, Simone G, Angione V, Apicella P, Bianchi S, Conde A F, Hameed O, Ibarra J, Leong A, Pennelli N, Pezzica E, Vezzosi V, Ventrella V, Pizzamiglio S, Paradiso A & Ellis I (2010) Histopathology 56, 720–726 Reproducibility in the diagnosis of needle core biopsies of non-palpable breast lesions: an international study using virtual slides published on the world-wide web Aims: To conduct an internet-based study using virtual slides (VS) of sterotactic core biopsy specimens of non-palpable breast lesions in order to evaluate interobserver reproducibility between pathologists. Methods and results: A total of 18 breast lesions, determined to be histologically complex by two pathologists, were selected. Digitized VSs were then created using QuickTime Virtual Reality technology (Apple, Cupertino, CA, USA) and posted on the world-wide web. In all, 10 pathologists completed the evaluations of 18 VSs using the five diagnostic categories (B1–B5) from the European guidelines for quality assurance in breast cancer screening and diagnosis. Their results were compared with those of every other participating pathologist, and were then individually compared with the results of a highly experienced breast pathologist (referee). Of the 18 cases, 10 (56%) were classified by the referee as borderline (B3 and B4). Comparisons with reference values showed a less than satisfactory level of reproducibility (median κw = 0.60). As regards interobserver reproducibility, results showed that, in general, the level of agreement was not satisfactory (median κw = 0.53). Conclusions: Overall, the findings are comparable to those quality control studies using circulating slides when analysis is done on borderline cases.

Objective: Hepcidin-25 production is stimulated by systemic inflammation, and it interferes with iron utilization, leading to anemia. This study aimed to investigate the relationships between the plasma levels of hepcidin, interleukin-6 (IL-6), erythropoietin (EPO) and erythroferrone (ERFE) in patients with benign breast disease or cancer. Methods: Plasma samples from a cohort of 131 patients (47 with benign breast disease and 84 with breast cancer) were subjected to the evaluation of hepcidin, IL-6, EPO and ERFE using SELDI-TOF-MS or immunoassays. Results: An elevated hepcidin was observed in malignant breast tumors compared to benign ones. No correlation was observed between hepcidin and IL-6, EPO or ERFE. Conclusion: Since the study included a cohort of patients (87%) with breast cancers smaller than 2 cm, these results may support our previous evidence about the potential role of hepcidin in breast cancer disease.

The aim of our study was to evaluate the quality of histo- and cytomorphological features of PAXgene-fixed specimens and their suitability for histomorphological classification in comparison to standard formalin fixation. Fifteen colon cancer tissues were collected, divided into two mirrored samples and either formalin fixed (FFPE) or PAXgene fixed (PFPE) before paraffin embedding. HE- and PAS-stained sections were scanned and evaluated in a blinded, randomised ring trial by 20 pathologists from Europe and the USA using virtual microscopy. The pathologists evaluated histological grading, histological subtype, presence of adenoma, presence of lymphovascular invasion, quality of histomorphology and quality of nuclear features. Statistical analysis revealed that the reproducibility with regard to grading between both fixation methods was rather satisfactory (weighted kappa statistic (k w) = 0.73 (95 % confidence interval (CI), 0.41–0.94)), with a higher agreement between the reference evaluation and the PFPE samples (k w = 0.86 (95 % CI, 0.67–1.00)). Independent from preservation method, inter-observer reproducibility was not completely satisfactory (k w = 0.60). Histomorphological quality parameters were scored equal or better for PFPE than for FFPE samples. For example, overall quality and nuclear features, especially the detection of mitosis, were judged significantly better for PFPE cases. By contrast, significant retraction artefacts were observed more frequently in PFPE samples. In conclusion, our findings suggest that the PAXgene Tissue System leads to excellent preservation of histomorphology and nuclear features of colon cancer tissue and allows routine morphological diagnosis.

1 Unit of Medical Statistics, Biometry and Bioinformatics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy 2 Department of Experimental Oncology and Molecular Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy 3 Molecular Genetics of Cancer, Fondazione Istituto FIRC di Oncologia Molecolare, Milan, Italy 4 Department of Pathology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy 5 Scientific Directorate, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy

Background A significant portion of breast cancer patients treated in the neoadjuvant setting does not achieve a pathological complete response (pCR) and has an increased risk of relapse after surgery. The current lack of reliable predictors of response to guide patient therapy in clinical practice requires the identification of predictive biomarkers that could discriminate between responders and non-responders. The purpose of this study was to investigate the potential of circulating microRNAs (miRNAs) as novel non-invasive predictive biomarkers of response to neoadjuvant treatment in HER2-positive breast cancer patients enrolled in the Neo-ALTTO study. Methods We performed a longitudinal miRNA monitoring of the well-annotated and high-quality plasma samples of patients treated with neoadjuvant lapatinib, trastuzumab or their combination. Before profiling, the overall plasma samples were randomly splitted in two sets, namely the training set and the testing set, with distribution of timing of plasma collection, arm of treatment, rate of pCR, and tumor characteristics resembling that of the entire Neo-ALTTO patient population. To this end a PCR-based high-throughput approach was firstly employed in the training set. After a proper normalization step, for each treatment arm and time-point, a panel of potential miRNAs associated to pCR was identified by resorting to univariate approaches. Multivariate penalized logistic regression models were implemented thereafter, in order to identify specific signatures for each time-point and treatment arm. Finally, the predictive capability of the aforementioned signatures was evaluated in the testing set. Results Plasma miRNA profiles were available for 435 of the 455 (96%) patients enrolled in the Neo-ALTTO study. In details, miRNA levels were analyzed in 141, 151 and 143 patients assigned to neoadjuvant trastuzumab, lapatinib, and their combination, respectively, at baseline and after 2 weeks of treatment. A total of 30 miRNAs (including both normalizators and specific miRNAs) were identified and 6 signatures were found predictive of pCR in terms of Area Under the ROC Curve (AUC) in the training population. The predictive capability of 4 of 6 of the identified signatures was confirmed in the testing set, specifically: lapatinib at baseline AUC (95%CI) = 0.86 (0.73-0.98) and after two weeks AUC (95%CI) = 0.71 (0.55-0.86), trastuzumab after two weeks AUC (95%CI) = 0.81 (0.70-0.92), and lapatinib + trastuzumab after two weeks AUC (95%CI) = 0.67 (0.51-0.83). Of note, the predictive value of the signature of trastuzumab after two weeks was confirmed after adjustment for hormonal receptor status - training set AUC (95%CI) = 0.90 (0.80-0.99), testing set, AUC (95%CI) = 0.84 (0.74-0.94). Conclusion These findings provide the first evidence of the potential of circulating miRNAs to predict treatment response in HER2-positive breast cancer patients treated with neoadjuvant therapy. Results obtained in the trastuzumab arms are of special value as in women with unfavorable miRNA signature it is anticipated an unfavorable response to paclitaxel plus trastuzumab after just 2 weeks of treatment. Data on correlation with elapse free survival will be presented at the meeting. Citation Format: Di Cosimo S, Appierto V, Tiberio P, Verderio P, Pizzamiglio S, Bottelli S, Iorio M, Baselga J, Piccart M, Huober J, Brase J, de la Pena L, Fumagalli D, de Azambuja E, de Braud F, Daidone MG. Plasma microRNA levels for predicting therapeutic response to neoadjuvant treatment in HER2-positive breast cancer: Results from Neo-ALTTO [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr S3-02.

Purpose:Monoallelic germ-line deleterious mutations of PALB2 (partner and localizer of BRCA2) are associated with breast cancer risk and have been found in several populations, with carrier frequencies of ∼1-2%. Initially, these mutations were considered to have moderate penetrance, but accumulating evidence now indicates that they are associated with much higher risk.Methods:In this study, we sequenced the PALB2 coding regions unlinked to BRCA (breast cancer) genes in 575 probands from Italian breast cancer families recruited in Milan.Results:We found 12 carriers (2.1%) of deleterious mutations, and none of the mutations was found in 784 controls collected in Milan. One of these mutations, the c.1027C>T (p.Gln343X), was found to be recurrent in the province of Bergamo in northern Italy, being detected in 6/113 (5.3%) familial breast cancer cases and 2/477 (0.4%) controls recruited in this area (Fisher's exact test: P < 0.01).Conclusions:Our data provide confirmatory findings that, in the Italian population also, deleterious mutations of PALB2 are relatively frequent predisposing factors for breast cancer and may be associated with high risk of the disease.Genet Med 16 9, 688-694.

Background An External Quality Assessment (EQA) program was developed to investigate the state of the art of HER2 immunohistochemical determination in breast cancer (BC) in 16 Pathology Departments in the Lazio Region (Italy). This program was implemented through two specific steps to evaluate HER2 staining (step 1) and interpretation (step 2) reproducibility among participants. Methods The management activities of this EQA program were assigned to the Coordinating Center (CC), the Revising Centers (RCs) and the Participating Centers (PCs). In step 1, 4 BC sections, selected by RCs, were stained by each PC using their own procedures. In step 2, each PC interpreted HER2 score in 10 BC sections stained by the CC. The concordance pattern was evaluated by using the kappa category-specific statistic and/or the weighted kappa statistic with the corresponding 95% Jackknife confidence interval. Results In step 1, a substantial/almost perfect agreement was reached between the PCs for scores 0 and 3+ whereas a moderate and fair agreement was observed for scores 1+ and 2+, respectively. In step 2, a fully satisfactory agreement was observed for 6 out of the 16 PCs and a quite satisfactory agreement was obtained for the remaining 10 PCs. Conclusions Our findings highlight that in the whole HER2 evaluation process the two intermediate categories, scores 1+ and 2+, are less reproducible than scores 0 and 3+. These findings are relevant in clinical practice where the choice of treatment is based on HER2 positivity, suggesting the need to share evaluation procedures within laboratories and implement educational programs.

BackgroundGenome-wide gene expression analyses of tumors are a powerful tool to identify gene signatures associated with biologically and clinically relevant characteristics and for several tumor types are under clinical validation by prospective trials. However, handling and processing of clinical specimens may significantly affect the molecular data obtained from their analysis. We studied the effects of tissue handling time on gene expression in human normal and tumor colon tissues undergoing routine surgical procedures.MethodsRNA extracted from specimens of 15 patients at four time points (for a total of 180 samples) after surgery was analyzed for gene expression on high-density oligonucleotide microarrays. A mixed-effects model was used to identify probes with different expression means across the four different time points. The p-values of the model were adjusted with the Bonferroni method.ResultsThirty-two probe sets associated with tissue handling time in the tumor specimens, and thirty-one in the normal tissues, were identified. Most genes exhibited moderate changes in expression over the time points analyzed; however four of them were oncogenes, and two confirmed the effect of tissue handling by independent validation.ConclusionsOur results suggest that a critical time point for tissue handling in colon seems to be 60 minutes at room temperature. Although the number of time-dependent genes we identified was low, the three genes that already showed changes at this time point in tumor samples were all oncogenes, hence recommending standardization of tissue-handling protocols and effort to reduce the time from specimen removal to snap freezing accounting for warm ischemia in this tumor type.

Background To explore correlation between the quality of surgery and outcome in high-risk soft tissue sarcoma (STS) patients treated within a phase III randomized trial. Patients and Methods In the trial, all patients received three cycles of preoperative chemotherapy (CT) with epirubicin 120 mg/m2 and ifosfamide 9 g/m2 and were randomly assigned to receive two further postoperative cycles. Radiotherapy (RT) could be delivered in the preoperative or postoperative setting. The association between surgical margins and overall survival (OS) was studied in a univariate and multivariate fashion. Results Two hundred and fifty-two patients completed the whole treatment and were operated conservatively. At a median follow-up of 60 months (IQR, 45–74 months), the 5-year OS was 0.73, even in patients with positive and negative margins. The 5-year cumulative incidence (CI) of local recurrence (LR) in patients with positive and negative microscopic margins was 0.17 (standard error, SE, 0.08) and 0.03 (SE, 0.01), respectively. In the subgroup of patients receiving combined preoperative CT–RT and with positive surgical margins, the CI of LR was 0. Conclusions In this setting of high-risk STS treated by preoperative CT or CT–RT, the negative impact of positive margins on the outcome was limited. When close margins can be anticipated preoperative CT–RT may be a reasonable option to maximize the chance of cure.

Comment on ‘Circulating cell-free miRNAs as biomarker for triple-negative breast cancer’—Methodological challenges in combining miRNAs as circulating biomarkers

BACKGROUND. The objective of this study was to compare the prognostic relevance of Response Evaluation Criteria in Solid Tumors (RECIST) versus Choi criteria for the assessment of response in patients with high-risk soft tissue sarcoma of the extremities or trunk wall who received preoperative chemotherapy with or without radiotherapy in a phase 3 trial. METHODS. Patients received 3 cycles of preoperative epirubicin þ ifosfamide with or without radiotherapy. The diagnostic concordance between RECIST and Choi criteria and their correlation with overall survival (OS) and freedom from progression (FFP) were evaluated in a univariate Cox regression model. RESULTS. In 243 of 321 eligible patients, RECIST, Choi criteria, and histology were predictive for OS and FFP. In the subgroup of 69 patients who received chemotherapy alone and were evaluable by both RECIST and Choi criteria, Choi criteria were associated significantly with OS and FFP, whereas RECIST predicted only FFP, and the pattern of agreement observed between the 2 criteria was unsatisfactory. On a dichotomous scale, comparing objective response (complete and partial responses) and lack of response (stable and progressive disease) to preoperative chemotherapy according to RECIST and Choi criteria, only Choi criteria were predictive of OS and FFP, and fair agreement between RECIST and Choi criteria was observed. When lack of progression and progression were compared (complete and partial responses þ stable disease vs progressive disease), both assessment criteria were significantly predictive of OS and FFP, and there was substantial agreement between the 2 criteria. CONCLUSIONS. Response to chemotherapy with or without radiotherapy was associated with a better outcome in patients with high-risk soft tissue sarcoma. Choi criteria were better predictors than RECIST in patients who received preoperative chemotherapy alone. Cancer 2012;118:5857-66. V C 2012 American Cancer Society.

Although the introduction of the Nottingham/Tenovus classification has improved the criteria to assess the histological grading in breast cancer, several quality control studies have shown that good results in terms of reproducibility are hard to obtain. This paper reports the results obtained during an implemented quality control programme for histological grading aimed at evaluating the short- and long-term effects of a training session on pathologists' performance. The interobserver reproducibility for grading score along with its components was assessed. The reproducibility between each pathologist and the reference values was also evaluated, as well as the contribution of each grading category to the observed reproducibility. Results show the weakness of a single training course in improving the long-term performance of the participating pathologists, suggesting the need to continuously monitor the quality of the grading determination by planning quality control studies and training sessions sequentially repeated in short time intervals.

Background: Chromogranin A (CgA) is an acidic glycoprotein produced by many neuroendocrine cells and neurons. Currently, two different methods for assaying CgA, immunoradiometric assay (IRMA) and enzyme-linked immunosorbent assay (ELISA), are widely used in routine practice. Within the framework of a Ministry of Health project, an External Quality Control program was developed to investigate the state of the art of CgA determination in Italy and to monitor the performance of laboratories carrying out this assay. This paper reports the results regarding laboratory performance. Methods: A total of 43 laboratories participated in this program, in which 21 used the ELISA method and 22 the IRMA method. Each laboratory received six samples, three aliquots of serum and three of plasma, at high, intermediate and low concentrations. The results provided by the two assay methods were analyzed separately using two statistical approaches, the principal component analysis and the control chart method. Results: For the IRMA method, questionable results for all samples were obtained by two laboratories, while in two other laboratories performance was questionable for only one sample. For the ELISA method, questionable performances were obtained in only one laboratory for the low and intermediate concentration samples, whereas in three laboratories performance was questionable for only one sample. Interestingly, the coefficients of variation increased approximately five-fold when shifting from the IRMA to the ELISA method. Conclusions: This program demonstrated both the requirement and demand for external quality assessment of CgA assay.

Background: Quantitative gene expression analysis by real-time PCR is important in several diagnostic areas, such as the detection of minimum residual disease in leukemia and the prognostic assessment of cancer patients. To address quality assurance in this technically challenging area, the European Union (EU) has funded the EQUAL project to develop methodologic external quality assessment (EQA) relevant to diagnostic and research laboratories among the EU member states. We report here the results of the EQUAL-quant program, which assesses standards in the use of TaqMan™ probes, one of the most widely used assays in the implementation of real-time PCR. Methods: The EQUAL-quant reagent set was developed to assess the technical execution of a standard TaqMan assay, including RNA extraction, reverse transcription, and real-time PCR quantification of target DNA copy number. Results: The multidisciplinary EQA scheme included 137 participating laboratories from 29 countries. We demonstrated significant differences in performance among laboratories, with 20% of laboratories reporting at least one result lacking in precision and/or accuracy according to the statistical procedures described. No differences in performance were observed for the >10 different testing platforms used by the study participants. Conclusions: This EQA scheme demonstrated both the requirement and demand for external assessment of technical standards in real-time PCR. The reagent design and the statistical tools developed within this project will provide a benchmark for defining acceptable working standards in this emerging technology.

Irene Catucci, Paolo Verderio, Sara Pizzamiglio, Siranoush Manoukian, Bernard Peissel, Monica Barile, Laura Tizzoni, Loris Bernard, Fernando Ravagnani, Laura Galastri, Marco A.Pierotti, Paolo Radice and Paolo Peterlongo IFOM, Fondazione Istituto FIRC di Oncologia Molecolare, Milan 20139, Italy, Unit of Genetic Susceptibility to Cancer, Department of Experimental Oncology, Unit of Medical Statistics and Biometry and Unit of Medical Genetics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy, Division of Cancer Prevention and Genetics, Istituto Europeo di Oncologia, Milan 20141, Italy, Cogentech, Consortium for Genomic Technologies, Milan 21039, Italy, Department of Experimental Oncology, Istituto Europeo di Oncologia, Milan 20141, Italy, Immunohematology and Transfusion Medicine Service, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy, Direction, Associazione Volontari Italiani Sangue Comunale, Milan 20133, Italy and Scientific Direction, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy

The authors concludedthat proper training in breast pathology for patholo-gists and laboratory technicians is critical and providesthe underpinnings of program success for any countryat any level of economic wealth. Educational activitiesandqualitycontrol(QC)programshavebeenrecognizedas part of the proficiency assessment for the determina-tion of any biomarkers and have been demonstrated tobe valid tools for improving reproducibility in bio-markers determination. However, the question ofwhether the improvement in reproducibility because oftraining is maintained as time goes on is still of great in-terest. Five years ago, we initiated a QC program for his-tologic grading on behalf of the Italian Network forQuality Assurance of Tumour Biomarkers (INQAT).Because the first round of this QC indicated a less-than-optimal level of reproducibility

External Quality Assessment (EQA) schemes are well-established tools with which to evaluate, monitor and improve the output quality of clinical laboratories, recognising that high quality laboratory medicine is essential for patient care. EQA programs involve the testing of multiple laboratories and the statistical comparison of their results, according to a multistep workflow. New clinical laboratory activities, such as biomarker research, require new EQA schemes. Critical elements in designing EQA programs are choosing the statistical methods and defining reference values and control limits. This article summarizes the key features of an EQA scheme, including designing the study, identifying reference values and control limits for qualitative and quantitative data, and graphically reporting laboratory performance statistics. These steps are illustrated with examples taken from the authors’ experience in national and international quality assessment schemes for biomarker research.