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The NCCN Guidelines for Genetic/Familial High-Risk Assessment: Breast, Ovarian, and Pancreatic focus primarily on assessment of pathogenic/likely pathogenic (P/LP) variants associated with increased risk of breast, ovarian, pancreatic, and prostate cancer, including BRCA1, BRCA2, CDH1, PALB2, PTEN, and TP53, and recommended approaches to genetic counseling/testing and care strategies in individuals with these P/LP variants. These NCCN Guidelines Insights summarize important updates regarding: (1) a new section for transgender, nonbinary and gender diverse people who have a hereditary predisposition to cancer focused on risk reduction strategies for ovarian cancer, uterine cancer, prostate cancer, and breast cancer; and (2) testing criteria and management associated with TP53 P/LP variants and Li-Fraumeni syndrome.

PurposeThe use of concurrent doublet chemotherapy with radiation for locoregionally advanced cervical cancer (LACC) is limited by gastrointestinal and hematologic toxicity. By reducing radiation dose to bowel and bone marrow, image guided intensity modulated radiation therapy (IG-IMRT) may improve chemotherapy tolerance. The goal of this study was to determine whether IG-IMRT could lead to improved tolerance to concurrent cisplatin and gemcitabine for LACC.Methods and materialsWe conducted an open-label, nonrandomized, prospective phase 1 dose escalation trial at a tertiary academic cancer center (ClinicalTrials.gov identifier: NCT01554410). We enrolled patients with stage IB-IVA cervical cancer, with either an intact cervix or posthysterectomy with residual/recurrent pelvic or paraortic nodal involvement, undergoing radical pelvic or extended field chemoradiation therapy. Treatment consisted of chemoradiation with IG-IMRT (45-47.6 Gy, 25-28 fractions to the pelvis ± paraortic nodes with simultaneous nodal boost to 53.2-59.4 Gy, 28 fractions) plus 5 cycles of concurrent weekly cisplatin 40 mg/m2 with escalating doses of gemcitabine (50, 75, 100, or 125 mg/m2). Cohorts were separated preregistration according to whether the patient received pelvic or extended field IG-IMRT and whether gemcitabine followed (CG) or preceded (GC) cisplatin delivery. Dose-limiting toxicity (DLT) events were monitored up to 30 days after chemoradiation therapy. The primary endpoint was maximum tolerated dose (MTD) resulting in DLT probability ≤20%.ResultsBetween February 2011 and June 2019, 35 patients were registered. Overall, 7 patients (20.0%) experienced DLTs. For the pelvic field cohort, the estimated MTD was 100 mg/m2 with GC sequencing, which is higher than the previously reported MTD for this regimen. The extended field cohort was closed after 2 of 3 patients experienced a DLT at the first dose level.ConclusionsIG-IMRT can permit higher doses of concurrent gemcitabine with cisplatin and pelvic radiation for LACC. However, acute toxicity remains a factor with this regimen, depending on radiation volume and chemotherapy sequencing.

Background: 3D neural network dose predictions are useful for automating brachytherapy (BT) treatment planning for cervical cancer. Cervical BT can be delivered with numerous applicators, which necessitates developing models that generalize to multiple applicator types. The variability and scarcity of data for any given applicator type poses challenges for deep learning. Purpose: The goal of this work was to compare three methods of neural network training—a single model trained on all applicator data, fine‐tuning the combined model to each applicator, and individual (IDV) applicator models—to determine the optimal method for dose prediction. Methods: Models were produced for four applicator types—tandem‐and‐ovoid (T&O), T&O with 1–7 needles (T&ON), tandem‐and‐ring (T&R) and T&R with 1–4 needles (T&RN). First, the combined model was trained on 859 treatment plans from 266 cervical cancer patients treated from 2010 onwards. The train/validation/test split was 70%/16%/14%, with approximately 49%/10%/19%/22% T&O/T&ON/T&R/T&RN in each dataset. Inputs included four channels for anatomical masks (high‐risk clinical target volume [HRCTV], bladder, rectum, and sigmoid), a mask indicating dwell position locations, and applicator channels for each applicator component. Applicator channels were created by mapping the 3D dose for a single dwell position to each dwell position and summing over each applicator component with uniform dwell time weighting. A 3D Cascade U‐Net, which consists of two U‐Nets in sequence, and mean squared error loss function were used. The combined model was then fine‐tuned to produce four applicator‐specific models by freezing the first U‐Net and encoding layers of the second and resuming training on applicator‐specific data. Finally, four IDV models were trained using only data from each applicator type. Performance of these three model types was compared using the following metrics for the test set: mean error (ME, representing model bias) and mean absolute error (MAE) over all dose voxels and ME of clinical metrics (HRCTV D90% and D2cc of bladder, rectum, and sigmoid), averaged over all patients. A positive ME indicates the clinical dose was higher than predicted. 3D global gamma analysis with the prescription dose as reference value was performed. Dice similarity coefficients (DSC) were computed for each isodose volume. Results: Fine‐tuned and combined models showed better performance than IDV applicator training. Fine‐tuning resulted in modest improvements in about half the metrics, compared to the combined model, while the remainder were mostly unchanged. Fine‐tuned MAE = 3.98%/2.69%/5.36%/3.80% for T&O/T&R/T&ON/T&RN, and ME over all voxels = –0.08%/–0.89%/–0.59%/1.42%. ME D2cc were bladder = –0.77%/1.00%/–0.66%/–1.53%, rectum = 1.11%/–0.22%/–0.29%/–3.37%, sigmoid = –0.47%/–0.06%/–2.37%/–1.40%, and ME D90 = 2.6%/–4.4%/4.8%/0.0%. Gamma pass rates (3%/3 mm) were 86%/91%/83%/89%. Mean DSCs were 0.92%/0.92%/0.88%/0.91% for isodoses ≤ 150% of prescription. Conclusions: 3D BT dose was accurately predicted for all applicator types, as indicated by the low MAE and MEs, high gamma scores and high DSCs. Training on all treatment data overcomes challenges with data scarcity in each applicator type, resulting in superior performance than can be achieved by training on IDV applicators alone. This could presumably be explained by the fact that the larger, more diverse dataset allows the neural network to learn underlying trends and characteristics in dose that are common to all treatment applicators. Accurate, applicator‐specific dose predictions could enable automated, knowledge‐based planning for any cervical brachytherapy treatment. [ABSTRACT FROM AUTHOR]

PURPOSE:We investigate the use and impact of a vaginal brachytherapy boost (VBB) after pelvic radiotherapy for stage III endometrial adenocarcinoma on vaginal and pelvic control. MATERIAL AND METHODS:One hundred patients treated from 1998-2011 with surgery and adjuvant therapy with or without a VBB were included. Variables examined were grade, stage, lymphovascular space invasion (LVSI), vaginal involvement (VI), cervical stromal involvement (CSI), myometrial invasion (MI), and a VBB. Failure was scored as vaginal, or pelvic. Fisher's exact test assessed association between variables with vaginal and pelvic control. RESULTS:With a median follow up of 43 months, 31% were stage IIIA, 6% stage IIIB, and 63% stage IIIC. Thirty-eight (38%) received pelvic radiotherapy alone, and 62% received adjuvant chemotherapy. Of the 100 patients, 82 were treated with a VBB, 10 were not treated with a VBB, and 8 were not treated with RT. Of the 82 patients who received a VBB, 5 failed in the vagina with vaginal and pelvic control rates of 94% and 92%. The impact of VB reached borderline significance with its impact on pelvic control, 92% vs. 70% (p = 0.056), and did not affect vaginal control, 94% and 90% (p = 0.50). Neither tumor grade, LVSI, CSI, stage, nor LVSI (p > 0.05) statistically significantly impacted vaginal control. CONCLUSIONS:There are no clinical guidelines for the use of a VBB in stage III endometrial cancer. The majority of our patients were treated with a VBB and experienced excellent pelvic and vaginal control. The presence of traditional adverse features did not negatively impact control in our patient cohort. However, the role of a VBB needs further investigation to understand the incremental benefit beyond pelvic RT.

ImportanceSurvival of patients with head and neck cancer can be affected by competing causes of mortality, as well as comorbidities that result in radiation treatment interruptions.ObjectiveTo discern how differences in preexisting medical and psychosocial comorbidities potentially influence adherence to radiation therapy according to human papillomavirus (HPV) status.Design, setting, and participantsRetrospective analysis at a comprehensive cancer center of 162 consecutive patients with locally advanced squamous cell carcinoma of the oropharynx treated with primary chemoradiation (n = 95) or primary surgery followed by adjuvant radiation (n = 67). Immunostaining for p16 was used to determine HPV status.Main outcomes and measuresDifference in alcohol, tobacco, and marijuana use was compared between patients with HPV-positive and HPV-negative tumors, as well as the prevalence of the following comorbidities: diabetes mellitus, chronic obstructive pulmonary disease (COPD), anxiety disorder, and major depression. The number of total missed treatment days was analyzed as both a continuous and categorical variable.ResultsRates of self-reported heavy alcohol use (47% vs 16%; P = .02) and any marijuana use (47% vs 23%; P = .003) were significantly higher among HPV-negative patients. Fifty-four percent of HPV-positive patients self-identified as never smokers, compared with only 12% of HPV-negative patients (P

Importance: Survival of patients with head and neck cancer can be affected by competing causes of mortality, as well as comorbidities that result in radiation treatment interruptions., Objective: To discern how differences in preexisting medical and psychosocial comorbidities potentially influence adherence to radiation therapy according to human papillomavirus (HPV) status., Design, Setting, and Participants: Retrospective analysis at a comprehensive cancer center of 162 consecutive patients with locally advanced squamous cell carcinoma of the oropharynx treated with primary chemoradiation (n = 95) or primary surgery followed by adjuvant radiation (n = 67). Immunostaining for p16 was used to determine HPV status., Main Outcomes and Measures: Difference in alcohol, tobacco, and marijuana use was compared between patients with HPV-positive and HPV-negative tumors, as well as the prevalence of the following comorbidities: diabetes mellitus, chronic obstructive pulmonary disease (COPD), anxiety disorder, and major depression. The number of total missed treatment days was analyzed as both a continuous and categorical variable., Results: Rates of self-reported heavy alcohol use (47% vs 16%; P = .02) and any marijuana use (47% vs 23%; P = .003) were significantly higher among HPV-negative patients. Fifty-four percent of HPV-positive patients self-identified as never smokers, compared with only 12% of HPV-negative patients (P < .001). HPV-negative patients had more missed treatment days (mean, 2.8 vs 1.7 days; P = .02), as well as an increased rate of at least 5 missed days (24% vs 10%; P = .04), and higher prevalences of COPD (12% vs 7%; P = .37) and anxiety disorder (12% vs 6%; P = .35)., Conclusions and Relevance: Pronounced differences exist in lifestyle habits between patients with HPV-negative and HPV-positive oropharyngeal cancer at diagnosis. These differences, as well as those of medical and psychosocial burden, may contribute to observed discrepancies in treatment adherence and need to be considered in outcomes reporting and clinical trial design.