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Of the four molecular subtypes of endometrial cancer (EC), p53-abnormal (p53abn) EC is associated with abundant copy number alterations (CNAs) and the worst clinical outcome. Patients with p53abn EC have the highest risk of disease recurrence and death, independent of tumor grade and histologic subtype. Currently, all invasive p53abn ECs are considered high risk, and no prognostic biomarkers have yet been found that can aid in clinical management. Here, we aimed to test whether loss of retinoblastoma protein (RB) expression using immunohistochemistry (IHC) has potential for prognostic refinement of p53abn EC. A large cohort of 227 p53abn ECs collected from the PORTEC-1/2/3 clinical trials and the MST cohort study was investigated, and RB loss was identified in 7.0% (n=16/227). RB-lost p53abn ECs were predominantly high-grade endometrioid ECs (n=6, 37.5%) and carcinosarcomas with endometrioid-type epithelial component (n=5, 31.3%). Histologically, RB-lost p53abn EC were typified by high grade nuclear atypia (n=16, 100%), predominantly solid growth pattern (n=15/16, 93.8%), and polypoid growth (n=9/16, 56.3%). Copy number loss involving the RB1 locus was identified in the majority of RB-lost p53abn EC (n=13/14, 92.9%), explaining the loss of RB expression. Comparative analysis also showed that RB-lost p53abn EC were diagnosed at earlier stages than RB-retained p53abn EC (p=0.014). Interestingly, RB-lost p53abn EC showed prolonged time to overall recurrence (p=0.038), even within stage I alone (p=0.040). These findings highlight distinct morphomolecular features in RB-lost p53abn EC and confirm the utility of RB IHC as a surrogate for molecular RB1 alterations. This is the first study to show the potential use of RB in prognostic refinement of p53abn EC, although validation is warranted., (Copyright © 2024. Published by Elsevier Inc.)

Background: Endometrial cancer can be molecularly classified into POLE mut , mismatch repair deficient (MMRd), p53 abnormal (p53abn), and no specific molecular profile (NSMP) subgroups. We aimed to develop an interpretable deep learning pipeline for whole-slide-image-based prediction of the four molecular classes in endometrial cancer (im4MEC), to identify morpho-molecular correlates, and to refine prognostication., Methods: This combined analysis included diagnostic haematoxylin and eosin-stained slides and molecular and clinicopathological data from 2028 patients with intermediate-to-high-risk endometrial cancer from the PORTEC-1 (n=466), PORTEC-2 (n=375), and PORTEC-3 (n=393) randomised trials and the TransPORTEC pilot study (n=110), the Medisch Spectrum Twente cohort (n=242), a case series of patients with POLE mut endometrial cancer in the Leiden Endometrial Cancer Repository (n=47), and The Cancer Genome Atlas-Uterine Corpus Endometrial Carcinoma cohort (n=395). PORTEC-3 was held out as an independent test set and a four-fold cross validation was performed. Performance was measured with the macro and class-wise area under the receiver operating characteristic curve (AUROC). Whole-slide images were segmented into tiles of 360 μm resized to 224 × 224 pixels. im4MEC was trained to learn tile-level morphological features with self-supervised learning and to molecularly classify whole-slide images with an attention mechanism. The top 20 tiles with the highest attention scores were reviewed to identify morpho-molecular correlates. Predictions of a nuclear classification deep learning model serve to derive interpretable morphological features. We analysed 5-year recurrence-free survival and explored prognostic refinement by molecular class using the Kaplan-Meier method., Findings: im4MEC attained macro-average AUROCs of 0·874 (95% CI 0·856-0·893) on four-fold cross-validation and 0·876 on the independent test set. The class-wise AUROCs were 0·849 for POLE mut (n=51), 0·844 for MMRd (n=134), 0·883 for NSMP (n=120), and 0·928 for p53abn (n=88). POLE mut and MMRd tiles had a high density of lymphocytes, p53abn tiles had strong nuclear atypia, and the morphology of POLE mut and MMRd endometrial cancer overlapped. im4MEC highlighted a low tumour-to-stroma ratio as a potentially novel characteristic feature of the NSMP class. 5-year recurrence-free survival was significantly different between im4MEC predicted molecular classes in PORTEC-3 (log-rank p<0·0001). The ten patients with aggressive p53abn endometrial cancer that was predicted as MMRd showed inflammatory morphology and appeared to have a better prognosis than patients with correctly predicted p53abn endometrial cancer (p=0·30). The four patients with NSMP endometrial cancer that was predicted as p53abn showed higher nuclear atypia and appeared to have a worse prognosis than patients with correctly predicted NSMP (p=0·13). Patients with MMRd endometrial cancer predicted as POLE mut had an excellent prognosis, as do those with true POLE mut endometrial cancer., Interpretation: We present the first interpretable deep learning model, im4MEC, for haematoxylin and eosin-based prediction of molecular endometrial cancer classification. im4MEC robustly identified morpho-molecular correlates and could enable further prognostic refinement of patients with endometrial cancer., Funding: The Hanarth Foundation, the Promedica Foundation, and the Swiss Federal Institutes of Technology., Competing Interests: Declaration of interests HWN and JJJ declare grants from Merck, NH declares grants from Varian, and VHK declares research funding from Roche, unrelated to the subject of this manuscript. All other authors declare no competing interests., (Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.)

We aim to investigate the current state of brachytherapy (BT) training among the radiation oncology trainees in Europe., Material and Methods: A 22-question online survey based on the one by the American Association of Radiation Oncology Residents (2017) with added queries pertinent to training in Europe was sent to 1450 residents in two iterations. These included site-specific training, volume of experience, barriers to training, institutional support, and preferences for further education. Responses to individual statements were given on a 1 to 5 Likert-type scale. The answers were reported by junior (≤3 years of training) and senior years of training (year of training 4/5/6 and junior staff). Descriptive statistics were used to describe frequencies., Results: Residents from 21 European countries participated, 445 (31%) responded. 205 (47%) were senior residents. 60% residents consider that performing BT independently at the end of residency is very or somewhat important. Confidence in joining a brachytherapy practice at the end of residency was high or somewhat high in 34% of senior residents. They reported as barriers to achieving independence in BT to be lack of appropriate didactic/procedural training from supervisors (47%) and decreased case load (31%). 68% reported their program lacks a formal BT curriculum and standardized training assessment., Conclusions: Residents in Europe, feel independent BT practice is very or somewhat important, but do not feel confident they will achieve this goal. To address this gap, efforts are needed to develop and implement a formal and comprehensive BT curriculum with easy access to trained instructors., (Copyright © 2022. Published by Elsevier B.V.)

Purpose: To present a nomogram for prediction of overall survival (OS) in patients with locally advanced cervical cancer (LACC) undergoing definitive radiochemotherapy including image-guided adaptive brachytherapy (IGABT)., Methods and Materials: Seven hundred twenty patients with LACC treated with radiochemotherapy including IGABT in 12 institutions (median follow-up 56 months) were analyzed; 248 deaths occurred. Thirteen candidate predictors for OS were a priori chosen on the basis of the literature and expert knowledge. Missing data (7.2%) were imputed using multiple imputation and predictive mean matching. Univariate analysis with a multivariable Cox regression model for OS stratified by center was performed. Stepwise selection of predictive factors with the Akaike Information Criterion was used to obtain a predictive model and construct a nomogram for OS predictions 60 months from diagnosis; this was internally validated by concordance probability as a measure of discrimination and a calibration plot., Results: Thirteen potential predictive factors were evaluated; 10 factors reached statistical significance in univariate analysis (age, Hemoglobin, FIGO Stage 2009 , tumor width, corpus involvement, lymph node involvement, concurrent chemotherapy, dose to 90% of the high-risk clinical target volume , volume of CTV at the first brachytherapy [CTV HR VolumeBT], overall treatment time [OTT]). Four factors were confirmed significant within the multivariable Cox regression model (FIGO Stage 2009 , lymph node involvement, concurrent chemotherapy, CTV HR VolumeBT). The predictive model and corresponding nomogram were based on 7 Akaike Information Criterion-selected factors (age, corpus involvement, FIGO Stage 2009 , lymph node involvement, concurrent chemotherapy, CTV HR VolumeBT, OTT) and showed promising calibration and discrimination (cross-validated concordance probability c = 0.73)., Conclusions: This is the first nomogram to predict OS in patients with LACC treated with IGABT. In addition to previously reported factors (age, FIGO 2009 stage, corpus involvement, chemotherapy delivery, OTT, lymph node involvement), status of primary tumor at the time of brachytherapy seems to be an essential outcome predictor. These results can facilitate individualized tailoring of treatment and patient counseling during the treatment., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Vulvovaginal melanomas are rare tumors that account for a small fraction of all vulvovaginal cancers. Biologically, they seem to be similar to mucosal and acral melanomas of other sites. There are limited data specific to vulvovaginal melanomas, especially regarding systemic therapies. Most treatment decisions are based on extrapolation from data regarding cutaneous melanomas of other sites. It is reasonable to follow already established guidelines from other professional groups and societies. Outcomes tend to be worse compared with cutaneous melanomas likely because of the later presentation and physical biological characteristics of these tumors.

Purpose: To describe and compare long-term (> or = 36 months) effects of patients with 86 primary pterygia treated with bare sclera extirpation (BSE) followed by Beta-RT or by sham irradiation., Methods: Prospective, multicenter, randomized, double-blind study. After BSE of their pterygium, patients were randomized to either Beta-RT or sham irradiation. In the case of Beta-RT, within 24 hours after the operation, a 90Sr eye applicator was used to deliver 2500 cGy to the sclera surface at a dose rate of between 200 and 250 cGy/min. Sham irradiation was given using the same type of applicator without the 90Sr layer. After treatment, both a masked ophthalmologist and a radiation oncologist performed follow-up examinations. These were continued until either a relapse occurred or at least 36 months had elapsed., Results: Adequate follow-up was available of 86 pterygia in 81 patients, treated between February 1998 and September 2002. Fifty-two (60%) patients were male. The mean age of the patients was 50 years (range: 24-77). After a follow-up of at least 36 months (mean: 40 months, SD:13.9 months), 5 out of 44 eyes (11%) treated with Beta-RT showed a recurrence versus 32 out of 42 eyes (76%) treated with sham-RT (after a mean follow-up of 22 months) (p<0.001). In the Beta-RT group, 80% were satisfied with the cosmetic result, whereas in the sham group this percentage was 41% (p<0.001). In the Beta-RT group, no scar or a white scar could be detected in 86% of the treated eyes, versus in 24% of the sham irradiated eyes (p<0.001). A change of keratometry (Javal) was seen in 5 patients (12%) following Beta-RT compared to 16 (38%) after sham irradiation (p=0.002). Complications were few: a granuloma was seen in three patients after sham irradiation, mild limitation of abduction in two Beta-RT patients versus in five after sham irradiation, and mild scleromalacia in one Beta-RT patient., Conclusions: Bare sclera extirpation of a pterygium without adjuvant treatment has an unacceptably high recurrence rate and therefore should be considered obsolete. Bare sclera extirpation of a primary pterygium followed by a single-dose Beta-RT is a simple, effective, and safe treatment with lasting results and very few complications.