Ovarian cancer is usually detected at a late stage and the overall 5-year survival is only 30–40%. Additional means for early detection and improved diagnosis are acutely needed. To search for novel biomarkers, we compared circulating plasma levels of 593 proteins in three cohorts of patients with ovarian cancer and benign tumors, using the proximity extension assay (PEA). A combinatorial strategy was developed for identification of different multivariate biomarker signatures. A final model consisting of 11 biomarkers plus age was developed into a multiplex PEA test reporting in absolute concentrations. The final model was evaluated in a fourth independent cohort and has an AUC = 0.94, PPV = 0.92, sensitivity = 0.85 and specificity = 0.93 for detection of ovarian cancer stages I–IV. The novel plasma protein signature could be used to improve the diagnosis of women with adnexal ovarian mass or in screening to identify women that should be referred to specialized examination.

The aim of the study was to compare overall survival (OS) and diseasefree survival (DFS) after open and robotic radical hysterectomy for early-stage cervical cancer. Patients and methods: This was a nationwide population-based cohort study on all women with cervical cancer stage IA1-IB of squamous, adenocarcinoma or adenosquamous histological subtypes, from January 2011 to December 2017, for whom radical hysterectomy was performed. The Swedish Quality Register of Gynaecologic Cancer was used for identification. To ensure quality and conformity of data and to disclose patients not yet registered, hospital registries were reviewed and validated. Cox and propensity score regression analysis and univariable and multivariable regression analysis were performed in regard to OS and DFS. Results: There were 864 women (236 open and 628 robotic) included in the study. The 5-year OS was 92% and 94% and DFS was 84% and 88% for the open and robotic cohorts, respectively. The recurrence pattern was similar in both groups. Using propensity score analysis and

BackgroundRadical hysterectomy with pelvic lymphadenectomy represents the standard treatment for early-stage cervical cancer. Results from a recent randomized controlled trial demonstrate that minimally invasive surgery is inferior to laparotomy with regards to disease-free and overall survival.Primary ObjectiveTo investigate the oncologic safety of robot-assisted surgery for early-stage cervical cancer as compared with standard laparotomy.Study HypothesisRobot-assisted laparoscopic radical hysterectomy is non-inferior to laparotomy in regards to recurrence-free survival with the advantage of fewer post-operative complications and superior patient-reported outcomes.Trial DesignProspective, multi-institutional, international, open-label randomized clinical trial. Consecutive women with early-stage cervical cancer will be assessed for eligibility and subsequently randomized 1:1 to either robot-assisted laparoscopic surgery or laparotomy. Institutional review board approval will be required from all participating institutions. The trial is coordinated from Karolinska University Hospital, Sweden.Major Inclusion/Exclusion CriteriaWomen over 18 with cervical cancer FIGO (2018) stages IB1, IB2, and IIA1 squamous, adenocarcinoma, or adenosquamous will be included. Women are not eligible if they have evidence of metastatic disease, serious co-morbidity, or a secondary invasive neoplasm in the past 5 years.Primary EndpointRecurrence-free survival at 5 years between women who underwent robot-assisted laparoscopic surgery versus laparotomy for early-stage cervical cancer.Sample SizeThe clinical non-inferiority margin in this study is defined as a 5-year recurrence-free survival not worsened by >7.5%. With an expected recurrence-free survival of 85%, the study needs to observe 127 events with a one-sided level of significance (α) of 5% and a power (1−β) of 80%. With 5 years of recruitment and 3 years of follow-up, the necessary number of events will be reached if the study can recruit a total of 768 patients.Estimated Dates for Completing Accrual and Presenting ResultsTrial launch is estimated to be May 2019 and the trial is estimated to close in May 2027 with presentation of data shortly thereafter.Trial RegistrationThe trial is registered at ClinicalTrials.gov (NCT03719547).

Background: Progress in cancer biomarker discovery is dependent on access to high-quality biological materials and high-resolution clinical data from the same cases. To overcome current limitations, a systematic prospective longitudinal sampling of multidisciplinary clinical data, blood and tissue from cancer patients was therefore initiated in 2010 by Uppsala and Umeå Universities and involving their corresponding University Hospitals, which are referral centers for one third of the Swedish population. Material and Methods: Patients with cancer of selected types who are treated at one of the participating hospitals are eligible for inclusion. The healthcare-integrated sampling scheme encompasses clinical data, questionnaires, blood, fresh frozen and formalin-fixed paraffin-embedded tissue specimens, diagnostic slides and radiology bioimaging data. Results: In this ongoing effort, 12,265 patients with brain tumors, breast cancers, colorectal cancers, gynecological cancers, hematological malignancies, lung cancers, neuroendocrine tumors or prostate cancers have been included until the end of 2016. From the 6914 patients included during the first five years, 98% were sampled for blood at diagnosis, 83% had paraffin-embedded and 58% had fresh frozen tissues collected. For Uppsala County, 55% of all cancer patients were included in the cohort. Conclusions: Close collaboration between participating hospitals and universities enabled prospective, longitudinal biobanking of blood and tissues and collection of multidisciplinary clinical data from cancer patients in the U-CAN cohort. Here, we summarize the first five years of operations, present U-CAN as a highly valuable cohort that will contribute to enhanced cancer research and describe the procedures to access samples and data.ARTICLE HISTORY

The data in the Swedish Quality Register for Gynecologic Cancer are of adequate quality in order to be used as a basis for research and to evaluate possible differences in treatment, lead times and treatment results.