Citations

Abstract Background The loss-of-function (LOF) classification of most missense variants in tumor suppressor breast cancer genes BRCA1, BRCA2, PALB2 , and RAD51C remains unclassified and confounds clinical actionability. Classifying these variants is challenging due to their rarity, leading clinicians to rely on in silico predictive methods. Protein stability changes are associated with function, making stability predictors valuable. Stability predictions upon missense variant perturbations require high-resolution protein structures. However, the availability of these high-resolution structures is lacking. This study explores using generative AI to predict high-resolution protein structures, which can then be analyzed with in silico protein stability prediction methods to assess LOF activity in ordered regions of the protein. This study also determines the appropriate in silico protein stability and dedicated in silico missense prediction methods in dbNSFP v4.7 database to predict LOF activity in ordered regions of these four genes. Functional classifications from homology recombination DNA repair (HDR) assays and variant classifications from the ClinVar database provide a reliable dataset for evaluating the performance of these in silico prediction methods. Results Complex AlphaFold2 structures of the BRCA1-C terminal (BRCT) domain and the DNA-binding (DB) domain of BRCA2, analyzed using protein stability tool FoldX predicts LOF activity from missense variants significantly better than experimentally-derived structures in ordered regions. The BRCT domain achieved an Area Under the Curve (AUC)= 0.861 (95 % CI:0.858–0.863) and AUC= 0.842 (95 % CI:0.840–0.845), while the DB domain achieved an AUC= 0.836 (95 % CI:0.8322–0.841), compared to AUC= 0.847 (95 % CI:0.844–0.850) and AUC= 0.835 (95 % CI:0.832–0.837) from the BRCT domain, and AUC= 0.830 (95 % CI:0.821–0.8320) from the DB domain from experimentally-derived structures. Protein stability does not predict LOF activity from missense variants better than dedicated in silico missense predictors. Overall, we find that AlphaMissense ranks highly, with an average AUC= 0.890 (95 % CI 0.886–0.895) from ordered regions across these four cancer genes, compared to all other in silico missense predictors present in the dbNSFP database. Conclusions The study reveals that generative AI protein predicted structures can outperform experimentally-derived structures in evaluating LOF activity from predicted protein stability in ordered regions of genes BRCA1, BRCA2, PALB2 and RAD51C. The study also highlights the predictive performance of AlphaMissense as the premier in silico missense prediction method to predict LOF activity from missense variants in these four tumor suppressor breast cancer genes. The code for this study can be downloaded for free on GitHub ( https://github.com/rohandavidg/CarePred )

Background Assessment of gastric conduit perfusion during esophagectomy is crucial to determine its viability and identify the optimal site for anastomosis. Indocyanine green (ICG) fluorescence imaging is commonly used for this purpose, but it is contraindicated in patients with hypersensitivity to ICG, iodine, or shellfish. Oxygen saturation endoscopic imaging (OXEI) is a newer, non-pharmacologic technique for assessing perfusion. We report our experience with OXEI in 3 esophagectomy patients who had contraindications to ICG. Methods All 3 patients underwent robot-assisted esophagectomies. None of the conduits had ischemic areas identified by white light. Using a 5 mm laparoscopic specialized camera (ELUXEO Vision, FUJIFILM Healthcare Americas Corp., USA), OXEI was deployed for intracorporeal assessment of gastric conduit perfusion after pull-up into the chest. Postoperative outcomes including anastomotic leaks and complications were recorded. Results In two patients, OXEI revealed ischemic zones, which were resected to ensure optimal conduit viability. In the remaining patient, OXEI indicated robust vascularity throughout the conduit. All three patients experienced uneventful postoperative courses and were discharged within 10 days. There were no instances of anastomotic leaks or other major complications. Conclusion In our experience, OXEI is a viable method for intraoperative assessment of gastric conduit perfusion in patients with contraindications to ICG. Prospective studies are needed to validate its efficacy in preventing anastomotic complications and to compare it with other methods of perfusion assessment including gross visual and ICG dye in a larger patient population.

363 Background: The incidence of BC in young adults is increasing; given their extended survivorship, characterizing healthcare utilization and adherence to surveillance guidelines can inform unmet health needs and gaps in care. Methods: The multi-center Young Women’s BC Cohort Study enrolled 1302 women ≤40 yrs with newly diagnosed (dx) BC from 2006-2016. Participants completed surveys every 6 mos for 3 yrs post-dx, then annually. The current analysis includes patients with Stage 0-III BC without recurrence who completed the 7-yr survey assessing survivorship care, including types of providers visited, BC surveillance, and other health maintenance practices. Multivariate logistic regression evaluated factors (clinical, demographics, concern about recurrence) associated with 1) full transition to a primary care provider (PCP) for follow-up; adherence to 2) mammography (among women who had a unilateral mastectomy or lumpectomy) and 3) bone density scans (among current hormonal therapy [HT] users), per ASCO/ACS guidelines. Results: Of 660 women with Stage 0-III BC, median age at dx was 37 (range: 17-40); 89% identified as White, 5%, Asian, 3%, Black, 3% as other/multiracial, and 4%, Hispanic. Most had received chemotherapy (75%) and radiation (61%) and 35% reported current HT; 12% had a BRCA1/2 mutation. For cancer-related follow-up, 57% reported seeing an oncology provider only, 12%, PCP only, and 29% saw a PCP + oncology provider. Among women with remaining breast(s) (n=348), 90% reported a mammogram in the last year. Adherence to other health maintenance practices varied: 68% reported having had a flu shot, 76% a pap test/pelvic exam, and 56% cholesterol screening within the last 2 yrs. Among current HT users (n=210), 46% reported a bone density scan within the last 2 yrs. In multivariate analyses assessing the odds of seeing a PCP only (vs. oncology + PCP), having stage 0 vs I disease (OR 2.74 95% CI 1.01-6.80) was associated with higher odds while any HT use (OR .31 95% CI .16-.58) and concern about recurrence (OR .23 95% CI .12-.47) were associated with lower odds. The table includes factors significantly associated with non-adherence to mammography and bone density scans. Conclusions: At 7-years post-dx, most young survivors participating in a cohort study receive cancer follow-up care from an oncology provider and have not fully transitioned their care to a PCP. Adherence to recommendations related to bone health among HT users was suboptimal. Additional research to identify barriers/facilitators to receipt of guideline-concordant follow-up care at the patient, provider, and systems levels may inform strategies to optimize survivorship in young BC survivors. Multivariable analysis: factors associated with non-adherence. MammogramOR 95% CI Bone density scanOR 95% CI Her2+ .38, .15 -.98 NS BRCA1/2 + 8.36, 1.38-50.47 .17, .05 -.62 Chemotherapy NS .22, .06 -.78 Unilateral mastectomy vs lumpectomy 6.64, 2.69-16.34 NS

Abstract Aims Radiation therapy (RT) is an integral component of cancer therapy but associated with adverse events. Our goal was to establish risk prediction models for major adverse cardiovascular and cerebrovascular events (MACCE) after chest RT. Methods and results A retrospective study of lung/breast cancer patients who had chest RT with planning CT at Mayo Clinic between 01/2010 and 01/2014. Predictive models were developed based on weighted independent predictors using a derivation (406 lung and 711 breast cancer) and validation cohort (179 lung and 234 breast cancer). Patient characteristics, pre-RT CT for coronary artery calcification (CAC), and post-RT MACCE data were reviewed. Post-RT MACCE occurred in 6.1 and 5.6% in the derivation and validation cohort over a mean follow-up of 42 ± 13 months. Post-therapy model (C2AD2) included CAC (two points), MACCE history (two points), age ≥74 (three points), DM (two points), and mean heart radiation dose ≥ 850 mGy (two points), and pre-therapy model (C2AD) included post-therapy model parameters minus mean heart radiation dose. Both models stratified patients into three risk groups: low (0–2), intermediate (3–5), and high (≥6). Post-RT MACCE across these groups were 2.7, 8.9, and 19.8% in the derivation, and 3.9, 6.6, and 16.4% in the validation cohort for post-therapy model (C2AD2) and 2.8, 9.2, and 20.4% in the derivation and 3.7, 9.2, and 13.2% in the validation cohort for pre-therapy model. Both models showed statistically significant graded survival outcome. Conclusion Post-therapy (C2AD2) and pre-therapy (C2AD) models are simple, easy to use and effective tools to stratify breast and lung cancer patients undergoing chest radiation for post-RT MACCE.

Context.— Generative artificial intelligence (AI) technologies are rapidly transforming numerous fields, including pathology, and hold significant potential to revolutionize educational approaches. Objective.— To explore the application of generative AI, particularly large language models and multimodal tools, for enhancing pathology education. We describe their potential to create personalized learning experiences, streamline content development, expand access to educational resources, and support both learners and educators throughout the training and practice continuum. Data Sources.— We draw on insights from existing literature on AI in education and the collective expertise of the coauthors within this rapidly evolving field. Case studies highlight practical applications of large language models, demonstrating both the potential benefits and unique challenges associated with implementing these technologies in pathology education. Conclusions.— Generative AI presents a powerful tool kit for enriching pathology education, offering opportunities for greater engagement, accessibility, and personalization. Careful consideration of ethical implications, potential risks, and appropriate mitigation strategies is essential for the responsible and effective integration of these technologies. Future success lies in fostering collaborative development between AI experts and medical educators, prioritizing ongoing human oversight and transparency to ensure that generative AI augments, rather than supplants, the vital role of educators in pathology training and practice.

ABSTRACTBackgroundFollowing breast cancer (BC), many young women are interested in future childbearing and some may wish to breastfeed. However, limited information is available regarding their lactation experiences.MethodsParticipants in the Young Women's Breast Cancer Study, a multicenter, prospective cohort study of women ≤40 years diagnosed with stage 0–III BC between 2006–2016 and who reported one or more live births following diagnosis, were surveyed about pregnancy and breastfeeding after BC treatment, including reasons for attempting and stopping breastfeeding, satisfaction, and supports.ResultsOf 143 eligible women sent a survey, 115 responded and 94 were included in the analytic cohort. Breastfeeding was attempted by 55% of women (52 of 94). Among those who had not attempted, 93% noted prior bilateral mastectomies (39 of 42). Among those who attempted breastfeeding, 69% had undergone lumpectomy and radiotherapy (36 of 52), 83% of whom reported no milk production from their treated breast (30 of 36). Most (65%, 34 of 52) were at least somewhat satisfied with their ability to breastfeed. Reasons for stopping breastfeeding included: having completed the planned duration (36%, 19 of 52); to start/resume endocrine therapy (21%, 11 of 52); and to resume breast imaging (8%, 4 of 52). Approximately half (27 of 55) of women who had not undergone bilateral mastectomies recalled receiving specific information about breastfeeding after BC, mostly from the oncology team (59%, 16 of 27), online resources (48%, 13 of 27), or a lactation consultant (44%, 12 of 27).ConclusionMost young BC survivors who attempted to breastfeed were able to and were satisfied with the experience, despite challenges. Specific resources to support BC survivors who wish to breastfeed are needed.

Distal radioulnar joint instability is commonly seen after surgical fixation of a distal radial fracture, and surgeons’ ability to reliably determine stability on examination is poor. Debate remains regarding whether to fix the ulnar styloid or reinsert the triangular fibrocartilaginous complex. Four surgeons with Level 5 expertise were asked to respond to questions surrounding this debate.

Importance Office-based phototherapy is cost-effective for psoriasis but difficult to access. Home-based phototherapy is patient preferred but has limited clinical data, particularly in patients with darker skin. Objective To compare the effectiveness of home- vs office-based narrowband UV-B phototherapy for psoriasis. Design, Setting, and Participants The Light Treatment Effectiveness study was an investigator-initiated, pragmatic, open-label, parallel-group, multicenter, noninferiority randomized clinical trial embedded in routine care at 42 academic and private clinical dermatology practices in the US. Enrollment occurred from March 1, 2019, to December 4, 2023, with follow-up through June 2024. Participants were 12 years and older with plaque or guttate psoriasis who were candidates for home- and office-based phototherapy. Interventions Participants were randomized to receive a home narrowband UV-B machine with guided mode dosimetry or routine care with office-based narrowband UV-B for 12 weeks, followed by an additional 12-week observation period. Main Outcomes and Measures The coprimary effectiveness outcomes were Physician Global Assessment (PGA) dichotomized as clear/almost clear skin (score of ≤1) at the end of the intervention period and Dermatology Life Quality Index (DLQI) score of 5 or lower (no to small effect on quality of life) at week 12. Results Of 783 patients enrolled (mean [SD] age, 48.0 [15.5] years; 376 [48.0%] male), 393 received home-based phototherapy and 390 received office-based phototherapy, with 350 (44.7%) having skin phototype (SPT) I/II, 350 (44.7%) having SPT III/IV, and 83 (10.6%) having SPT V/VI. A total of 93 patients (11.9%) were receiving systemic treatment. At baseline, mean (SD) PGA was 2.7 (0.8) and DLQI was 12.2 (7.2). At week 12, 129 patients (32.8%) receiving home-based phototherapy and 100 patients (25.6%) receiving office-based phototherapy achieved clear/almost clear skin, and 206 (52.4%) and 131 (33.6%) achieved DLQI of 5 or lower, respectively. Home-based phototherapy was noninferior to office-based phototherapy for PGA and DLQI in the overall population and across all SPTs. Home-based phototherapy, compared to office-based phototherapy, was associated with better treatment adherence (202 patients [51.4%] vs 62 patients [15.9%]; P < .001), lower burden of indirect costs to patients, and more episodes of persistent erythema (466 of 7957 treatments [5.9%] vs 46 of 3934 treatments [1.2%]; P < .001). Both treatments were well tolerated with no discontinuations due to adverse events. Conclusions and Relevance In this randomized clinical trial, home-based phototherapy was as effective as office-based phototherapy for plaque or guttate psoriasis in everyday clinical practice and had less burden to patients. Trial Registration ClinicalTrials.gov Identifier: NCT03726489