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AbstractBackgroundPrimary‐progressive multiple sclerosis (PPMS) and relapsing‐remitting multiple sclerosis (RRMS) are two frequent multiple sclerosis (MS) subtypes that involve 10%–15% of patients. PPMS progresses slowly and is diagnosed later in life. Both subtypes are influenced by genetic and environmental factors such as smoking, obesity, and vitamin D insufficiency. Although there is no cure, ocrelizumab can reduce symptoms and delay disease development. RRMS is an autoimmune disease that causes inflammation, demyelination, and disability. Early detection, therapy, and lifestyle changes are critical. This study delves into genetics, immunology, biomarkers, neuroimaging, and the usefulness of ocrelizumab in the treatment of refractory patients of PPMS.MethodIn search of published literature providing up‐to‐date information on PPMS and RRMS, this review conducted numerous searches in databases such as PubMed, Google Scholar, MEDLINE, and Scopus. We looked into genetics, immunology, biomarkers, current breakthroughs in neuroimaging, and the role of ocrelizumab in refractory cases.ResultsOur comprehensive analysis found considerable advances in genetics, immunology, biomarkers, neuroimaging, and the efficacy of ocrelizumab in the treatment of refractory patients.ConclusionEarly detection, timely intervention, and the adoption of lifestyle modifications play pivotal roles in enhancing treatment outcomes. Notably, ocrelizumab has demonstrated potential in symptom control and mitigating the rate of disease advancement, further underscoring its clinical significance in the management of MS.

Abstract Importance: The poly-adenosine diphosphate–ribose polymerase (PARP) enzymes are important for DNA single-strand break repair and PARP inhibitors (PARPi) cause an accumulation of unresolved DNA damage in tumors with BRCA1/2 mutations, resulting in cell death. However, because platinum salts also ultimately cause double-strand DNA breaks and may have overlapping mechanisms of resistance with PARPi, the efficacy of PARPi in patients with prior platinum therapy is unknown. Objective We sought to evaluate the efficacy of PARPi in patients with BRCA1/2-related breast cancer and previous platinum exposure. Data Sources: PubMed, Embase, and Cochrane Central Register of Controlled Trials databases were searched for papers up to June 26, 2022. Study Selection: We performed a systematic review and meta-analysis of studies that evaluated the efficacy of PARPi in patients with advanced or metastatic breast cancer and germline BRCA1/2 mutations. Two independent investigators identified double-blind, randomized controlled trials (RCTs) that included the subgroup of previous exposure to platinum. Data Extraction and Synthesis: Data extraction from published reports and quality assessment were performed under Cochrane recommendations. The software Review Manager 5.3 was selected for conducting the statistical analyses. Main Outcome(s) and Measure(s): The primary endpoint of interest was progression-free survival (PFS). Hazard ratios (HRs) with a 95% confidence interval (CI) were pooled, and a p-value of < 0.05 was considered statistically significant. Results From 2,069 database results (487 on PubMed; 1,376 on Embase; and 206 on Cochrane), 42 studies were fully reviewed, and 4 RCTs (total of 249 patients) were included in the final investigation. The PARPi included were Olaparib, Talazoparib, Niraparib, and Veliparib. Pooled analysis showed that PARPi improved PFS in breast cancer patients with prior treatment with platinum-based therapy compared to the control group [HR = 0.72; 95% CI, 0.53–0.97; p = 0.03]. For comparison, the population without previous platinum exposure had a similar magnitude of benefit from PARPi [HR = 0.68; 95% CI, 0.52–0.89; p = 0.005]. Conclusions and Relevance: Despite the concerns about cross-resistance between PARPi and platinum agents, patients with advanced breast cancer and previous exposure to platinum therapy have a longer PFS with PARPi when compared to standard chemotherapy.

Respiratory disorders, being one of the leading causes of disability worldwide, account for constant evolution in management technologies, resulting in the incorporation of artificial intelligence (AI) in the recording and analysis of lung sounds to aid diagnosis in clinical pulmonology practice. Although lung sound auscultation is a common clinical practice, its use in diagnosis is limited due to its high variability and subjectivity. We review the origin of lung sounds, various auscultation and processing methods over the years and their clinical applications to understand the potential for a lung sound auscultation and analysis device. Respiratory sounds result from the intra-pulmonary collision of molecules contained in the air, leading to turbulent flow and subsequent sound production. These sounds have been recorded via an electronic stethoscope and analyzed using back-propagation neural networks, wavelet transform models, Gaussian mixture models and recently with machine learning and deep learning models with possible use in asthma, COVID-19, asbestosis and interstitial lung disease. The purpose of this review was to summarize lung sound physiology, recording technologies and diagnostics methods using AI for digital pulmonology practice. Future research and development in recording and analyzing respiratory sounds in real time could revolutionize clinical practice for both the patients and the healthcare personnel.

Abstract Background The relationship between body mass index (BMI) and outcomes in patients with nonalcoholic fatty liver disease (NAFLD) is not well defined. This study aimed to assess the presentations, outcomes, and development of liver-related events (LREs) and non-LREs in patients with NAFLD stratified by BMI. Methods Records of NAFLD patients from 2000–2022 were reviewed. Patients were categorized as lean (18.5–22.9 kg/m2), overweight (23–24.9 kg/m2), and obese (&gt;25 kg/m2) based on BMI. Stage of steatosis, fibrosis, and NAFLD activity score were noted in the patients undergoing liver biopsy in each group. Results Out of 1051 NAFLD patients, 127 (12.1%) had normal BMI, 177 (16.8%) and 747 (71.1%) were overweight and obese, respectively. Median [interquartile range] BMI was 21.9 [20.6–22.5], 24.2 [23.7–24.6], and 28.3 [26.6–30.6] kg/m2 in each group, respectively. Prevalence of metabolic syndrome and dyslipidemia were significantly higher in the obese. Obese patients had significantly higher median [interquartile range] liver stiffness (6.4 [4.9–9.4] kPa) than overweight and lean subjects. A higher proportion of obese patients had significant and advanced liver fibrosis. At follow-up, there were no significant differences in the progression of liver disease, new LREs, coronary artery disease, or hypertension across the BMI groups. Overweight and obese patients were more likely to develop new-onset diabetes by follow-up. The mortality rates in the three groups were comparable (0.47, 0.68, and 0.49 per 100 person-years, respectively), with similar causes of death (liver-related vs non-liver-related). Conclusions Patients with lean NAFLD have similar disease severity and rates of progression as the obese. BMI is not a reliable determinant of outcomes in NAFLD patients. Key messages What is already known on this topic What this study adds How this study might affect research, practice, or policy

Background and motivation: Lung computed tomography (CT) techniques are high-resolution and are well adopted in the intensive care unit (ICU) for COVID-19 disease control classification. Most artificial intelligence (AI) systems do not undergo generalization and are typically overfitted. Such trained AI systems are not practical for clinical settings and therefore do not give accurate results when executed on unseen data sets. We hypothesize that ensemble deep learning (EDL) is superior to deep transfer learning (TL) in both non-augmented and augmented frameworks. Methodology: The system consists of a cascade of quality control, ResNet–UNet-based hybrid deep learning for lung segmentation, and seven models using TL-based classification followed by five types of EDL’s. To prove our hypothesis, five different kinds of data combinations (DC) were designed using a combination of two multicenter cohorts—Croatia (80 COVID) and Italy (72 COVID and 30 controls)—leading to 12,000 CT slices. As part of generalization, the system was tested on unseen data and statistically tested for reliability/stability. Results: Using the K5 (80:20) cross-validation protocol on the balanced and augmented dataset, the five DC datasets improved TL mean accuracy by 3.32%, 6.56%, 12.96%, 47.1%, and 2.78%, respectively. The five EDL systems showed improvements in accuracy of 2.12%, 5.78%, 6.72%, 32.05%, and 2.40%, thus validating our hypothesis. All statistical tests proved positive for reliability and stability. Conclusion: EDL showed superior performance to TL systems for both (a) unbalanced and unaugmented and (b) balanced and augmented datasets for both (i) seen and (ii) unseen paradigms, validating both our hypotheses.

10585 Background: The 21-gene recurrence score assay (Oncotype DX, Genomic Health Inc., CA) is prognostic, quantifies predicted benefit of adjuvant chemotherapy, and informs clinical decisions for patients with early-stage, hormone receptor-positive (HR+) breast cancer (BC). Differences in Oncotype recurrence scores (RS) in individuals with and without BRCA1 and BRCA2 pathogenic variants (PV) have been demonstrated, but the results of this assay in patients with BC and germline CHEK2 or ATM PV have not previously been described. This is of particular relevance as CHEK2 BC have been associated with a worse prognosis. Methods: Prospective Registry of MultiPlex Testing (PROMPT) is an online research registry for individuals who have had multigene panel testing for inherited cancer susceptibility. We retrospectively evaluated Oncotype DX recurrence scores from PROMPT participants (pts) with PV or likely PV in CHEK2 or ATM. Mood’s median tests were used to compare median RS, and Yates corrected Chi-square tests were used to compare RS distributions between carriers and a genetically unselected reference population. Results: Oncotype DX reports were reviewed for 75 pts with 77 BC (n = 50 pts with CHEK2 PV with 51 BC; n = 24 with ATM PV; n = 1 with CHEK2 and ATM PV with 2 BC). Among CHEK2 carriers, median RS was 17 (range 2-43) overall, 17 (2-36) for pts < age 50, and 18.5 (8-43) for pts ≥age 50 (p-value 0.47), with distributions not significantly different than reference ( < 50, p = 0.70; ≥50, p = 0.93). Ten pts had low penetrance CHEK2 alleles (p.S428F or p.I157T) with median RS 16 (9-28) compared to 18 (2-43) in those with other CHEK2 alleles (p = 0.35). Among ATM carriers, median RS was 17 (1-35) overall, 17 (1-35) for pts < age 50, and 16 (11-32) for pts ≥age 50 (p = 0.51), with distributions also not significantly different ( < 50, p = 0.78; ≥50, p = 0.79). Conclusions: Unlike data seen in BC associated with BRCA1 and BRCA2, Oncotype DX RS in individuals with CHEK2 and ATM-associated BC are similar to the published genetically unselected commercial database median RS of 16, with no clear difference based on penetrance of CHEK2 allele. Proportions of patients < 50 and ≥50 with CHEK2 and ATM PV with RS within the range for chemoendocrine therapy consideration are also similar to the historical reference. The inferior prognosis that has been suggested in CHEK2 BC is not reflected in Oncotype DX RS. [Table: see text]

10501 Background: Greater than 90% of missense variants in BRCA2 are classified as variants of uncertain significance (VUS). In addition, among the few known missense pathogenic variants (PVs) in BRCA2, breast cancer risk has been reported to be lower compared to pathogenic truncating variants (PTVs) (Li et al., 2022) . Herein, we aim to reclassify several missense variants in BRCA2 and investigate the associated breast cancer risk. Methods: A total of 450 BRCA2 missense variants in the C-terminal DNA binding domain (DBD) were evaluated for functional effect utilizing a previously validated homology-directed DNA double-strand repair (HDR) assay. The results of the functional evaluation along with clinical, structural, and in-silico data were applied to the rules-based ACMG/AMP criteria for variant classification to identify pathogenic/likely pathogenic (P/LP) variants and benign/likely benign (B/LB) variants. A pooled case-control analysis was performed comparing the frequency of reclassified P/LP missense variants among 82,372 women with breast cancer within the Ambry Genetics database as cases and 174,167 unaffected women within gnomAD, CARRIERS, and BRIDGES datasets as controls to evaluate associated breast cancer risk. Separate case-control analysis and comparisons with BRCA2 DBD PTVs, exon 11 PTVs, and known missense PV standards in ENIGMA were also performed. Results: From the 450 missense variants in the DBD, 137 (30.4%) were noted to be functionally deleterious and 313 (69.6%) were functionally neutral by the HDR assay. Incorporation of the functional and other data into an ACMG/AMP model led to the reclassification of 439 (97.6%) variants, with 131 as P/LP and 308 as B/LB variants. In a pooled case-control analysis, reclassified BRCA2 missense P/LP variants were associated with clinically significant increased risks of breast cancer (Odds Ratio (OR):5.6, 95%CI:3.9–8.0), whereas B/LB missense variants were not (OR:1.1, 95%CI:1.1–1.2). Similarly elevated risks of breast cancer were observed for BRCA2 PTVs in the DBD (OR:6.8, 95%CI:5.1–9.0) and missense PV standards in ENIGMA (OR:7.8, 95%CI:4.1–14.7). However, PTVs in exon 11 of BRCA2 were associated with a lower risk of breast cancer (OR:4.4, 95%CI:3.8–4.9) compared to PTVs in DBD, confirming the ovarian cancer cluster region effect in BRCA2. Conclusions: The study demonstrates that the HDR functional assay in conjunction with other clinical and genomic data can be a powerful tool that can aid in the reclassification of > 95% of missense variants in BRCA2. In addition, missense PVs in DBD were noted to have a similarly elevated risk of breast cancer as PTVs. The reclassification of the BRCA2 missense VUS and identification of associated breast cancer risk in this study will significantly influence breast cancer risk assessment and management strategies among carriers of these missense variants.

6557 Background: Trials that inadequately include underrepresented minority (URM) populations widen inequities in cancer care. We assessed reporting patterns, representation, and trends of URM representation in breast cancer (BC) trials. Methods: We analyzed all phase 2/3 trials for age disparity and trials recruiting from the US for racial/ethnic disparity amongst BC RCTs (1990-2021). Enrollment-incidence ratios (EIR), which compare trial proportions (TP) from age subgroups against global estimates of incidence in the corresponding age group (from Global Burden of Disease) and racial/ethnic subgroups against US-population-based incidence in the corresponding racial/ethnic group (from SEER 22), were calculated. Individual-trial EIRs were pooled using random-effects meta-analyses. EIRs of <0.80 indicated meaningful underrepresentation, while EIRs >1.20 indicated meaningful overrepresentation. Meta-regression was used to explore associations between key trial characteristics and EIR, and trends in EIR over the last three decades. Results: Of 842 global trials with 490,657 participants, 232 (27.6%) reported the number of participants in specific age strata and 144 (17.1%) reported outcomes by age. Only 60 trials recruited exclusively from the US. Of these, 41 (68.3%) reported race and 24 (40.0%) reported ethnicity, and 2 (3.3%) analyzed outcomes by race. Older adults aged ≥65 years (TP: 24.3%; EIR: 0.53 [95% CI: 0.47-0.60]) and Hispanic women (TP: 5.3%; 0.54; 0.40-0.75) were underrepresented across global trials and US-only trials respectively. Black women were significantly underrepresented in trials that led to FDA approval (0.38; 0.25-0.58) but not in US-only trials. Stratified analysis by BC subtype (with subtype-specific population incidence) showed underrepresentation of Black women in US-only trials for HER2+ BC (0.66; 0.47-0.93), Hispanic women in ER+ BC (0.42; 0.20-0.90), Asians in triple-negative BC (0.24; 0.11-0.53), and older women in HER2+ BC (0.35; 0.31-0.40) and triple-negative BC (0.36; 0.29-0.45). From 1990-2021, the representation of older women declined significantly (meta-regression coefficient for EIR: -0.4 per 10 years), while Black and Hispanic representation showed no significant change. Black (p = 0.02) and Hispanic representation (p = 0.05) worsened significantly in larger trials. Conclusions: Published reports of BC trials do not consistently report the inclusion of URM. Older and Hispanic women were consistently underrepresented, whereas Black women were underrepresented in large, practice-changing trials. [Table: see text]

e15050 Background: Molecular tumour boards (MTB) facilitate discussions among medical professionals, scientists, bioinformaticians and geneticists for clinical application of precision oncology, via interpretation of various genomic sequencing studies, most commonly Next Generation Sequencing (NGS). NGS test vendor recommendation may differ from the MTB recommendations. We aim to study the discordance rate between these recommendations. Methods: MTB discussions between April 1, 2021 and December 31, 2021, were retrospectively evaluated. MTBs which assessed NGS reports with or without significant genetic mutations but with drug recommendations were included. NGS testing was done with multiple vendors. Patients from all over India, Nepal, Bangladesh, Dubai and Abu Dhabi were discussed. We excluded MTBs which assessed NGS data without any drug recommendations. We compared therapeutic recommendations provided in the NGS report with the first-choice recommendation in the MTB discussion. Recommendation discordance was defined as disagreement between the NGS recommendation and the first MTB recommendation that either instructed its implementation either immediately or on disease progression. Results: 70 MTB data was studied. 49 MTBs assessing NGS reports of 49 unique patients (median age 54 years; range, 32-82) were included in the study. 13 patients had lung cancer, 10 colorectal, 6 breast, 7 hepatopancreatobiliary, 4 carcinoma of unknown primary and 9 others. 17 did not provide any treatment recommendations and hence were excluded. 4 were discussions based on NGS reports previously discussed in an MTB that was already included in the study, hence were excluded. Recommendation discordance rate was 49% (24 of 49). Conclusions: To our knowledge, this is the first study that assessed discordance rate in recommendations between NGS report and MTB from a low- and middle-income country setting. Accurate clinical translation of complex genomic data is at the forefront of personalized cancer care.