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Abstract Prostate cancer is the most frequent cancer in men and a leading cause of cancer death. Determining a patient’s optimal therapy is a challenge, where oncologists must select a therapy with the highest likelihood of success and the lowest likelihood of toxicity. International standards for prognostication rely on non-specific and semi-quantitative tools, commonly leading to over- and under-treatment. Tissue-based molecular biomarkers have attempted to address this, but most have limited validation in prospective randomized trials and expensive processing costs, posing substantial barriers to widespread adoption. There remains a significant need for accurate and scalable tools to support therapy personalization. Here we demonstrate prostate cancer therapy personalization by predicting long-term, clinically relevant outcomes using a multimodal deep learning architecture and train models using clinical data and digital histopathology from prostate biopsies. We train and validate models using five phase III randomized trials conducted across hundreds of clinical centers. Histopathological data was available for 5654 of 7764 randomized patients (71%) with a median follow-up of 11.4 years. Compared to the most common risk-stratification tool—risk groups developed by the National Cancer Center Network (NCCN)—our models have superior discriminatory performance across all endpoints, ranging from 9.2% to 14.6% relative improvement in a held-out validation set. This artificial intelligence-based tool improves prognostication over standard tools and allows oncologists to computationally predict the likeliest outcomes of specific patients to determine optimal treatment. Outfitted with digital scanners and internet access, any clinic could offer such capabilities, enabling global access to therapy personalization.

Medulloblastoma is an aggressive primary brain tumor that is extremely rare in adults; therefore, prospective studies are limited. We reviewed the information of all MB patients treated at the CHUM between 2006 and 2017. We divided our cohort by age and further divided adult patients (53%) in two groups, those diagnosed between 2006–2012 and 2013–2017. In our adult population, median follow up was 26 months and SHH-activated MB comprised 39% of tumors. Adult 5yOS was 80% and first-line therapy led to a 5yPFS of 77%. The absence of radiosensitizing chemotherapy (100% vs. 50%; p = 0.033) negatively influenced 5yPFS. 96% of adult patients received radiotherapy and 48% of them received concomitant radiosensitizing chemotherapy. Complete surgical resection was performed on 85% of adults, but the extent of resection did not have a discernable impact on survival and did not change with time. Adjuvant chemotherapy did not clearly affect prognosis (5yOS 80% vs. 67%, p = 0.155; 5yPFS 78% vs. 67%, p = 0.114). From 2006–2012, the most common chemotherapy regimen (69%) was Cisplatinum, Lomustine and Vincristine, which was replaced in 2013 by Cisplatinum, Etoposide and Cyclophosphamide (77%) with a trend for worse survival. Nine patients recurred and seven of these (78%) were treated with palliative chemotherapy. In conclusion, we did not identify prognostic demographic or tumor factors in our adult MB population. The presence of radiosensitizing chemotherapy was associated with a more favorable PFS. Cisplatinum, Lomustine and Vincristine regimen might be a better adjuvant chemotherapy regimen.

Purpose: The progress of women in academic medicine appears to be curtailed. We evaluated gender differences in academia for residents in radiation oncology compared with 2 of its related specialties, radiology and medical oncology, across Canada. Methods and Materials: We analyzed abstracts presented between 2013 and 2016 at the annual meetings of the Canadian Association of Radiation Oncologists and compared it to the corresponding data for the meetings of the Canadian Association of Radiologists and Canadian Association of Medical Oncology. We further evaluated gender composition of abstracts, presentations, and publications available on PubMed. Conversion rates according to gender and to medical specialties were assessed. Proportions were compared using Fisher exact test or the chi-squared test. Results: Among the 198 presented abstracts, 103 (52%) were published. Radiation oncology had the highest publishing rate with 90% (oncology 56%, radiology 40%). The publication rate between the medical specialties was significantly different (P < .001).Fifty-seven percent of abstracts presented by women were published versus 48% of abstracts presented by men. Overall, there was no significant difference between genders in terms of subsequent conversions into a scientific publication within each specialty (P = .25-1.0).In radiation oncology, women presented 67% of abstracts and published 95% of their presented abstracts, and in medical oncology, 66% of abstracts were from women and 57% of the presented abstracts were published. Among the published abstracts, 83% had the same first author in the abstract and the publication. Among those who lost their first-authorship status, 59% were women. However, there was no statistically significant difference between specialties for loss of first-author status. Conclusions: We observed that from 2013 to 2016, women had the highest presentation and publication rate in radiation oncology. More prospective data are needed to monitor the progress of women in all specialties and their specific needs.

Objectives: We reviewed testosterone changes for patients who were treated with radiation therapy (RT) alone on NRG oncology RTOG 9408. Methods and materials: Patients (T1b-T2b, prostate-specific antigen

O artigo faz avaliação de 52 pacientes com metástase cerebral tratados com radiocirurgia estereotática na Universidade McGill, em Montreal. A radiocirurgia foi realizada com a técnica dinâmica em que, ao mesmo tempo, giram a mesa e a cabeça do acelerador linear de 10 MV. Todos os pacientes (56 tratamentos ao todo) foram tratados com um único isocentro e uma dose única mediana de 1800 cGy na periferia da metástase. Em 88% dos casos a radiocirurgia foi usada após falha de tratamento radioterápico fracionado em todo cérebro. Todos os 52 casos tiveram avaliação com CT pós radiocirurgia. O seguimento mediano foi de 6 meses (variou entre 1 e 37 meses) e a taxa de resposta, parcial ou completa, foi de 64%. Apenas 4 pacientes (7%) tiveram algum tipo de complicação tardia relacionada ao tratamento. Estes achados vão de encontro com dados da literatura. A radiocirurgia é tratamento pouco agressivo, bem tolerado e com alta taxa de resposta para lesões locais e pode ser útil para pacientes selecionados. O seu valor definitivo, como tratamento único ou combinado com radioterapia em todo cérebro, está sendo avaliado de forma prospectiva e randomizada.This is a retrospective review of 52 patients with metastatic brain disease who underwent stereotactic radiosurgery at McGill University in Montreal. The radiosurgical treatment was performed with the dynamic rotation technique in which there is continuous and simultaneous movement of treatment couch and machine gantry of a 10 MV linac. All patients were treated with a single isocenter and a median dose of 1800 cGy was delivered. In 88% of the cases radiosurgery was given after failure from whole brain conventional irradiation. All 52 cases were assessed with brain CT post radiosurgery. The median follow up time was 6 months (range 1 -37 months) and the response rate (partial or complete) was 64%. Only 4 patientes (7%) developed late complications related to the treatment. These findings are similar to the literature. Stereotactic radiosurgery is a well tolerated, effective and minimally invasive treatment technique which has a high response rate in selected patients with small, well delineated metastatic brain lesion. Its definitive value as a single therapy or combined with whole brain conventional radiotherapy is being studied in prospective and randomized trials.