The Advanced GAmma Tracking Array (AGATA) is a European project to develop and operate the next generation γ-ray spectrometer. AGATA is based on the technique of γ-ray energy tracking in electrically segmented high-purity germanium crystals. This technique requires the accurate determination of the energy, time and position of every interaction as a γ ray deposits its energy within the detector volume. Reconstruction of the full interaction path results in a detector with very high efficiency and excellent spectral response. The realisation of γ-ray tracking and AGATA is a result of many technical advances. These include the development of encapsulated highly segmented germanium detectors assembled in a triple cluster detector cryostat, an electronics system with fast digital sampling and a data acquisition system to process the data at a high rate. The full characterisation of the crystals was measured and compared with detector-response simulations. This enabled pulse-shape analysis algorithms, to extract energy, time and position, to be employed. In addition, tracking algorithms for event reconstruction were developed. The first phase of AGATA is now complete and operational in its first physics campaign. In the future AGATA will be moved between laboratories in Europe and operated in a series of campaigns to take advantage of the different beams and facilities available to maximise its science output. The paper reviews all the achievements made in the AGATA project including all the necessary infrastructure to operate and support the spectrometer

Objective. To compare sexual functioning and distress in women with systemic sclerosis (SSc) with that in healthy controls and determine the association between disease characteristics and sexual function. Methods. We conducted a cross-sectional study of 69 women with SSc (ages 18 -60 years) and 58 healthy, age-matched controls. Assessment included the Female Sexual Function Index (FSFI), Female Sexual Distress Scale (FSDS), Hospital Anxiety and Depression Scale, Short Form 36 health survey, sociodemographic characteristics, and in patients only, the Health Assessment Questionnaire. Results. Of 69 eligible patients with SSc, 37 (54%) responded, in addition to 37 (64%) of 58 controls. The FSFI total score and the subscale scores for lubrication, orgasm, arousal, and pain were significantly lower and the FSDS scores were significantly higher in patients with SSc. Longer disease duration and higher levels of marital dissatisfaction were significantly associated with low sexual function in patients with SSc. Longer disease duration, more depressive symptoms, and the use of antidepressants were significantly associated with sexual distress. Multivariate analyses indicated that marital distress was the only variable significantly associated with low sexual function in patients with SSc (␤ ‫؍‬ 0.40, P < 0.05), whereas depression was the only variable significantly associated with sexual distress (␤ ‫؍‬ 0.32, P < 0.05). The same pattern of associations was found in the healthy control group. Conclusion. Women with SSc reported significantly impaired sexual functioning and more sexual distress then healthy controls. Impaired sexual functioning and sexual distress were associated with marital distress and depressive symptoms. These results indicate that in daily practice, inquiring about sexuality and screening for depressive symptoms is indicated in every patient with SSc, irrespective of their clinical characteristics.

Women with high‐grade cervical intraepithelial neoplasia (HGCIN) frequently present with multiple cervical lesions and multiple concomitant Human papillomavirus (HPV) genotype infections. To elucidate HPV genotype attribution in different regions on the cervix, we performed molecular mapping of cervical disease in women with HGCIN. Thirteen subjects referred to colposcopy for abnormal cervical cancer screening results were included. A cervical smear and biopsies from 4 different areas on the cervix were collected. HPV genotyping using Linear Array (for cytology) or SPF10 LiPA25 (for histology) were performed in 13 smears, 52 whole sections from biopsies and 138 tissue regions isolated with laser capture microdissection (LCM). Twelve subjects had a diagnosis of CIN3 and one subject had a diagnosis of CIN2 based on the worst histology found in 4 biopsies. Eight of the 13 smears (62%) showed multiple genotype infections. Four of 13 women (31%) had multiple HPV infections in their biopsies. After performing LCM‐PCR, only one woman (8%) had two different carcinogenic HPV types in morphologically distinct, but colliding HGCIN lesions. HPV16 was identified as the causal type in all women with HPV16 in cytology. A large proportion of other HPV types found in cervical smears were not detected at the tissue level. Using tissue‐based genotyping and LCM‐PCR analysis, we were able to attribute an individual HPV type to each area of CIN lesions. We demonstrate that HPV16 is even more etiologically dominant than previously thought, based on various genotype attribution models.

Recent studies have shown that CADM1/MAL methylation levels in cervical scrapes increase with severity and duration of the underlying cervical intraepithelial neoplasia (CIN) lesion. Multiple lesions of different histological grades and duration are frequently present on the cervix. To gain more insight into the possible epigenetic heterogeneity and its consequences for the methylation status in cervical scrapes, we performed an exploratory study of CADM1/MAL methylation in different grades of CIN lesions present in women with multiple cervical biopsies. CADM1-M18 and MAL-M1 methylation was assessed using a standardised, multiplex, quantitative methylation specific PCR on 178 biopsies with various grades of CIN in 65 women, and in their corresponding cervical scrapes. CADM1/MAL methylation positivity increased with disease severity, from 5.5% in normal biopsies to 63.3% and 100% in biopsies with CIN3 and cervical cancer, respectively. In the majority (8/9) of women where besides a CIN2/3 lesion a biopsy from normal cervical tissue was present, the CIN2/3 biopsy was CADM1/MAL methylation positive and the normal biopsy was CADM1/MAL methylation negative. A good concordance (78%) was found between CADM1/MAL methylation results on the scrapes and the biopsy with the worst diagnosis, particularly between samples of women with CIN3 and cervical cancer (92% and 100% concordance, respectively). Thus, in women with multiple cervical biopsies, CADM1/MAL methylation increases with severity of the lesion and is lesion-specific. CADM1/MAL methylation status in cervical scrapes appears to be representative of the worst underlying lesion, particularly for CIN3 and cervical cancer.

Grading cervical intraepithelial neoplasia (CIN) determines clinical management of women after abnormal cytology with potential for overdiagnosis and overtreatment. We studied a novel biomarker of human papillomavirus (HPV) life-cycle completion (panHPVE4), in combination with the minichromosome maintenance (MCM) protein cell-cycle marker and the p16INK4a transformation marker, to improve CIN diagnosis and categorization. Scoring these biomarkers alongside CIN grading by 3 pathologists was performed on 114 cervical specimens with high-risk (HR) HPV. Interobserver agreement for histopathology was moderate (κ=0.43 for CIN1/negative, 0.54 for CIN2/≤CIN1, and 0.36 for CIN3). Agreement was good or excellent for biomarker scoring (E4: κ=0.896; 95% confidence interval [CI]: 0.763-0.969; p16INK4a : κ=0.798; 95% CI: 0.712-0.884; MCM: κ=0.894; 95% CI: NC (this quantity cannot be calculated). Biomarker expression was studied by immunofluorescence and immunohistochemistry and was correlated with 104 final CIN diagnoses after histologic review. All 25 histologically negative specimens were p16INK4a and panHPVE4 negative, although 9 were MCM-positive. There were variable extents of p16INK4a positivity in 11/11 CIN1 and extensive panHPVE4 staining in 9/11. Ten CIN2 lesions expressed panHPVE4 and p16INK4a, and 13 CIN2 expressed only p16INK4a. CIN3 showed extensive p16INK4a positivity with no/minimal panHPVE4 staining. PanHPVE4, unlike MCM, distinguished CIN1 from negative. PanHPVE4 with p16INK4a separated CIN2/3 showing only expression of p16INK4a, indicating transforming HR-HPV E7 expression, from CIN1/2 showing completion of HR-HPV life cycle by E4 expression and variable p16INK4a expression. PanHPVE4 and p16INK4a staining are complementary markers that could provide simple, reliable support for diagnosing CIN. Their value in distinguishing CIN1/2 that supports HR-HPV life-cycle completion (and which might ultimately regress) from purely transforming CIN2/3 needing treatment warrants further research.