14 research outputs found

    SERS analysis of serum for detection of early and locally advanced breast cancer

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    n this contribution, we investigated whether surface-enhanced Raman scattering (SERS) of serum can be a candidate method for detecting \u201cluminal A\u201d breast cancer (BC) at different stages. We selected three groups of participants aged over 50 years: 20 healthy women, 20 women with early localized small BC, and 20 women affected by BC with lymph node involvement. SERS revealed clear spectral differences between these three groups. A predictive model using principal component analysis (PCA) and linear discriminant analysis (LDA) was developed based on spectral data, and its performance was estimated with cross-validation. PCA-LDA of SERS spectra could distinguish healthy from BC subjects (sensitivity, 92 %; specificity, 85 %), as well as subjects with BC at different stages, with a promising diagnostic performance (sensitivity and specificity, 6580 %; overall accuracy, 84 %). Our data suggest that SERS spectroscopy of serum, combined with multivariate data analysis, represents a minimally invasive, easy to use, and fast approach to discriminate healthy from BC subjects and even to distinguish BC at different clinical stages

    Surface-enhanced Raman spectroscopy of urine for prostate cancer detection: a preliminary study

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    Surface-enhanced Raman scattering (SERS) spectra were obtained from urine samples from subjects diagnosed with prostate cancer as well as from healthy controls, using Au nanoparticles as substrates. Principal component analysis (PCA) of the spectral data, followed by linear discriminant analysis (LDA), leads to a classification model with a sensitivity of 100 %, a specificity of 89 %, and an overall diagnostic accuracy of 95 %. Even considering the very limited number of samples involved in this report, preliminary results from this approach are extremely promising, encouraging further investigation

    A New Genetic Risk Score to Predict the Outcome of Locally Advanced or Metastatic Breast Cancer Patients Treated With First-Line Exemestane: Results From a Prospective Study

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    Currently there are no reliable biomarkers to predict outcome of exemestane treatment. We designed a prospective study to investigate whether constitutive genetic background might affect response to therapy. In a population of 302 advanced breast cancer patients treated with exemestane we showed that a 5-polymorphism-based genetic score could be used to identify patients with different risks of progression and death.Introduction: Approximately 50% of locally advanced or metastatic breast cancer (MBC) patients treated with first-line exemestane do not show objective response and currently there are no reliable biomarkers to predict the outcome of patients using this therapy. The constitutive genetic background might be responsible for differences in the outcome of exemestane-treated patients. We designed a prospective study to investigate the role of germ line polymorphisms as biomarkers of survival. Patients and Methods: Three hundred two locally advanced or MBC patients treated with first-line exemestane were genotyped for 74 germ line polymorphisms in 39 candidate genes involved in drug activity, hormone balance, DNA replication and repair, and cell signaling pathways. Associations with progression-free survival (PFS) and overall survival (OS) were tested with multivariate Cox regression. Bootstrap resampling was used as an internal assessment of results reproducibility. Results: Cytochrome P450 19A1-rs10046TC/CC, solute carrier organic anion transporter 1B1-rs4149056TT, adenosine triphosphate binding cassette subfamily G member 2-rs2046134GG, fibroblast growth factor receptor-4-rs351855TT, and X-ray repair cross complementing 3-rs861539TT were significantly associated with PFS and then combined into a risk score (0-1, 2, 3, or 4-6 risk points). Patients with the highest risk score (4-6 risk points) compared with ones with the lowest score (0-1 risk points) had a median PFS of 10 months versus 26.3 months (adjusted hazard ratio [AdjHR], 3.12 [95% confidence interval (CI), 2.18-4.48]; P < .001) and a median OS of 38.9 months versus 63.0 months (AdjHR, 2.41 [95% CI, 1.22-4.79], P = .012), respectively. Conclusion: In this study we defined a score including 5 polymorphisms to stratify patients for PFS and OS. This score, if validated, might be translated to personalize locally advanced or MBC patient treatment and management

    Is the dissociative experiences scale able to identify detachment and compartmentalization symptoms? Factor structure of the dissociative experiences scale in a large sample of psychiatric and nonpsychiatric subjects

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    Background: In this study, we explored the ability of the Dissociative Experiences Scale (DES) to catch detachment and compartmentalization symptoms. Participants and methods: The DES factor structure was evaluated in 768 psychiatric patients (546 women and 222 men) and in 2,403 subjects enrolled in nonpsychiatric settings (1,857 women and 546 men). All participants were administered the Italian version of DES. Twenty senior psychiatric experts in the treatment of dissociative symptoms independently assessed the DES items and categorized each of them as follows: “C” for compartmentalization, “D” for detachment, and “NC” for noncongruence with either C or D. Results: Confirmatory factor analysis supported the three-factor structure of DES in both clinical and nonclinical samples and its invariance across the two groups. Moreover, factor analyses results overlapped with those from the expert classification procedure. Conclusion: Our results showed that DES can be used as a valid instrument for clinicians to assess the frequency of different types of dissociative experiences including detachment and compartmentalizatio

    Comparison of primary breast cancer and paired metastases: biomarkers discordance influence on outcome and therapy

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    Aim: Discordance between primary tumor and paired metastases biology has been widely detected in metastatic breast cancer. The aim of this study was to evaluate the prognostic impact of Ki67, estrogen receptor (ER), progesterone receptor (PR) and HER2 discordance. Methods: We retrospectively analyzed a cohort of 544 patients affected by metastatic breast cancer. Variation in ER, PR, Ki67 and HER2 expression between primary site and recurrence was tested through the McNemar test. Results: A significant variation was observed in respect to ER, PR and Ki67 status (12.65%, p = 0.0072; 49.71%, p &lt; 0.0001; 35%, p &lt; 0.0001, respectively). Among patients with ER or PR discordance, the driver of therapeutic decisions was the ER status. Moreover, we observed a therapy-related reduction of ER in taxanes or aromatase inhibitors-exposed patients (odds ratio: 3.59; 95% CI: 1.66–7.77; p = 0.001 and odds ratio: 2.07; 95% CI: 0.96–4.44; p = 0.06, respectively). Conclusion: Biopsy of metastatic lesions may influence the decision-making process translating into better outcome.</jats:p
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