Citations

AbstractArtificial intelligence (AI) has been influencing healthcare and medical research for several years and will likely become indispensable in the near future. AI is intended to support healthcare professionals to make the healthcare system more efficient and ultimately improve patient outcomes. Despite the numerous benefits of AI systems, significant concerns remain. Errors in AI systems can pose serious risks to human health, underscoring the critical need for safety, as well as adherence to ethical and moral standards, before these technologies can be integrated into clinical practice. To address these challenges, the development, certification, and deployment of medical AI systems must adhere to strict and transparent regulations. The European Commission has already established a regulatory framework for AI systems by enacting the European Union Artificial Intelligence Act. This review article, part of an AI learning series, discusses key considerations for medical AI systems such as reliability, accuracy, trustworthiness, lawfulness and legal compliance, ethical and moral alignment, sustainability, and regulatory oversight.Level of EvidenceLevel V.

PURPOSE Sertoli-Leydig cell tumors (SLCTs) are rare sex cord-stromal tumors, representing <0.5% of all ovarian tumors. We analyze the role of germline DICER1 status in outcomes of ovarian SLCT. METHODS Patients with SLCT were enrolled in the International Pleuropulmonary Blastoma/ DICER1 Registry and/or the International Ovarian and Testicular Stromal Tumor Registry. Medical records were systematically abstracted, and those with known germline DICER1 status were selected for analysis. RESULTS Of 162 patients with SLCT, 60% had a germline DICER1 pathogenic or likely pathogenic (P/LP) variant. The adjusted 3-year recurrence-free survival (RFS) was 87.2% (95% CI, 79.4 to 95.8) for patients with a germline DICER1 P/LP variant compared with 78.1% (95% CI, 66.4 to 91.9) for those without a germline DICER1 P/LP variant ( P = .043). The adjusted 3-year and 5-year overall survival (OS) was 93.9% (95% CI, 87.3 to 100.0) for those with a germline DICER1 P/LP variant compared with the 3-year OS of 91.3% (95% CI, 83.4 to 100.0) and the 5-year OS of 78.2% (95% CI, 63.8 to 95.9) for those without a germline DICER1 P/LP variant ( P = .021). Among patients with a germline DICER1 P/LP variant, the risk of a subsequent, nonrecurrent event was 36.2% (95% CI, 21.4 to 48.1) within 10 years. Previous/concurrent and subsequent neoplasms were rare among those without a germline DICER1 P/LP variant. CONCLUSION This cohort study of patients with SLCT demonstrated that those with germline DICER1 P/LP variants had superior RFS and OS even when adjusting for other prognostic factors. Beyond prognostic implications of a germline DICER1 P/LP variant, germline testing helps identify patients at risk of subsequent neoplasms, including metachronous SLCT.

AbstractBackgroundOvarian juvenile granulosa cell tumors (juvGCT) are rare sex cord‐stromal tumors that occur primarily in children and adolescents. This study summarizes the clinical presentation and outcomes of patients with juvGCT.MethodsPatients were enrolled in the International Ovarian and Testicular Stromal Tumor and/or International Pleuropulmonary Blastoma/DICER1 Registries. Available medical records were abstracted, and pathology was centrally reviewed. Surgical staging was classified using the 2014 International Federation of Gynecology and Obstetrics (FIGO) criteria.ResultsIn total, 70 patients with juvGCT enrolled and were diagnosed between 2001 and 2024; most patients (81%, 57 of 70) presented with FIGO stage I disease. Adjuvant chemotherapy was given in 30% (21 of 70); all regimens were platinum‐based. Three‐year event‐free survival among patients with stage IA tumors was 80.2% (95% confidence interval [CI], 62.4%–100.0%), IC1 was 87.4 (95% CI, 72.4%–100.0%), IC2‐IC3 was 63.6% (95% CI, 40.7%–99.5%), and II‐IV was 48% (95% CI, 24.6%–93.8%). Of the patients with recurrent juvGCT with known mitotic index (MI), all had MI greater than 19 mitoses per 10 high power fields (HPF) at diagnosis.ConclusionOutcomes were worse for patients with FIGO stage ≥IC2 disease and for tumors with >19 mitoses per 10 HPF. Given the prognostic significance of MI, the authors strongly recommend the assessment of MI for all juvGCTs. More information about tumor biology is critical to identify which patients may benefit from adjuvant chemotherapy and to facilitate the development of novel therapies.

Abstract Introduction DISTINCT is a randomized controlled trial evaluating passive recharge burst SCS compared with CMM in improving pain and pain‐related physical function in patients suffering from chronic back pain without prior lumbar surgery, and for whom corrective surgery is not an option. Sub‐analyses of outcome measures are presented for a subset implanted with paddle leads at both 6 and 12 months. Objective To investigate the treatment effect of using BurstDR‐capable SCS in nonsurgical low back pain (NSLBP) patients with paddle leads. Methods An independent board‐certified spine surgeon reviewed each case, confirming a lack of corrective surgical options. Out of 29 sites and 115 implants, 10 sites implanted 50 patients with paddle leads. Primary and secondary endpoints assessed improvements in low back pain intensity (NRS), low back pain‐related disability (ODI), pain catastrophizing (PCS), and patient global impression of change (PGIC). Results Data for patients with NSLBP and implanted with paddle leads are available for 47 and 44 patients at 6 and 12 months, respectively. Patients reported significant reductions in pain relief at 6 and 12 months, decreasing from 7.8 ± 1.2 at baseline to 2.0 ± 1.6 and 2.2 ± 2.2, respectively ( p < 0.0001). Disability was substantially reduced (> 20 points) from severe to mild at 6 and 12 months; ODI reduced from 54.4 ± 15.0 at baseline to 19.9 ± 14.1 and 22.1 ± 13.6, respectively ( p < 0.0001). Pain catastrophizing improved to reflect the average of a non‐chronic pain population; decreased from 27.6 ± 13.1 at baseline to 8.1 ± 8.2 and 7.8 ± 9.9 ( p < 0.0001). 93.2% of patients reported a moderately better‐much‐improved outcome on PGIC. Ten complications occurred in 9 patients, 3 being severe device‐related events. Two explants were required; one due to infection and one due to persistent pain at the IPG site, and one lead‐related event was resolved by surgical repositioning. Conclusions Passive recharge burst using paddle leads provides substantial relief to patients suffering from severe, debilitating, NSLBP. Patients report significant improvements in pain, function, and pain‐related emotional distress. In addition, the rate of adverse events is low, supporting a favorable safety profile.

Abstract Background In 2021, the American Academy of Physical Medicine and Rehabilitation established the Multi‐Disciplinary Post‐Acute Sequelae of SARS‐CoV‐2 Infection Collaborative to provide guidance from established Long COVID clinics for the evaluation and management of Long COVID. The collaborative previously published eight Long COVID consensus guidance statements using a primarily symptom‐based approach. However, Long COVID symptoms most often do not occur in isolation. Aims This compendium aims to equip clinicians with an efficient, up‐to‐date clinical resource for evaluating and managing adults experiencing Long COVID symptoms. The primary intended audience includes physiatrists, primary care physicians, and other clinicians who provide first‐line assessment and management of Long COVID symptoms, especially in settings where subspecialty care is not readily available. This compendium provides a holistic framework for assessment and management, symptom‐specific considerations, and updates on prevalence, health equity, disability considerations, pathophysiology, and emerging evidence regarding treatments under investigation. Because Long COVID closely resembles other infection‐associated chronic conditions (IACCs) such as myalgic encephalomyelitis/chronic fatigue syndrome, the guidance in this compendium may also be helpful for clinicians managing these related conditions. Methods Guidance in this compendium was developed by the collaborative's established modified Delphi approach. The collaborative is a multidisciplinary group whose members include physiatrists, primary care physicians, pulmonologists, cardiologists, psychiatrists, neuropsychologists, neurologists, occupational therapists, physical therapists, speech and language pathologists, patients, and government representatives. Over 40 Long COVID centers are represented in the collaborative. Results Long COVID is defined by the National Academies of Sciences, Engineering, and Medicine as “an IACC that occurs after SARS‐CoV‐2 infection and is present for at least 3 months as a continuous, relapsing and remitting, or progressive disease state that affects one or more organ systems.” The current global prevalence of Long COVID is estimated to be 6%. Higher prevalence has been identified among female gender, certain racial and ethnic groups, and individuals who live in nonurban areas. However, anyone can develop Long COVID after being infected with the SARS‐CoV‐2 virus. Long COVID can present as a wide variety of symptom clusters. The most common symptoms include exaggerated fatigue and diminished energy windows, postexertional malaise (PEM)/postexertional symptom exacerbation (PESE), cognitive impairment (brain fog), dysautonomia, pain/myalgias, and smell and taste alterations. Holistic assessment should include a traditional history, physical examination, and additional diagnostic testing, as indicated. A positive COVID‐19 test during acute SARS‐CoV‐2 infection is not required to diagnose Long COVID, and currently, there is no single laboratory finding that is definitively diagnostic for confirming or ruling out the diagnosis of Long COVID. A basic laboratory assessment is recommended for all patients with possible Long COVID, and consideration for additional labs and diagnostic procedures is guided by the patient's specific symptoms. Current management strategies focus on symptom‐based supportive care. Critical considerations include energy conservation strategies and addressing comorbidities and modifiable risk factors. Additionally, (1) it is essential to validate the patient's experience and provide reassurance that their symptoms are being taken seriously because many patients have had their symptoms dismissed by loved ones and clinicians; (2) physical activity recommendations must be carefully tailored to the patient's current activity tolerance because overly intense activity can trigger PEM/PESE and worsened muscle damage; and (3) treatment recommendations should be delivered with humility because there are many persistent unknowns related to Long COVID. To date, there are limited data to guide medication management specifically in the context of Long COVID. As such, medication use generally follows standard practice regarding indications and dosing, with extra attention to prioritize (1) patient preference via shared decision‐making and (2) cautious use of medications that may improve some symptoms (eg, cognitive/attention impairment) but may worsen other symptoms (eg, PEM/PESE). Numerous clinical trials are investigating additional treatments. The return‐to‐work process for individuals with Long COVID can be challenging because symptoms can fluctuate, vary in nature, affect multiple functional areas (eg, physical and cognitive), and often manifest as an “invisible disability” that may not be readily acknowledged by employers or coworkers. Clinicians can help patients return to work by identifying suitable workplace accommodations and resources, providing necessary documentation, and recommending occupational or vocational therapy when needed. If these efforts are unsuccessful and work significantly worsens Long COVID symptoms or impedes recovery, applying for disability may be warranted. Long COVID is recognized as a potential disability under the Americans with Disabilities Act. Conclusion To contribute to the overall health and well‐being for all patients, Long COVID care should be delivered in a holistic manner that acknowledges challenges faced by the patient and uncertainties in the field. For more detailed information on assessment and management of specific Long COVID symptoms, readers can reference the collaborative's symptom‐specific consensus guidance statements.

Abstract Background: The goal of this study is to evaluate the immunomodulatory effects of daratumumab-(anti-CD38)-based therapy on fHRMM patients enrolled in the MMRF sponsored MyDRUG umbrella clinical trial (NCT03732703) over the duration of therapy and to correlate immune changes with patient response. Methods: fHRMM who had received 1-3 prior therapies (exposed to at least one proteasome inhibitor and an IMiD) were given a combination of daratumumab (D), ixazomib (I), pomalidomide (P) and dexamethasone (d) (D-IPd) quadruplet therapy. Bone marrow (BM) aspirates were then collected from patients prior to therapy (BL), after 2 cycles (EOC2), after 4 cycles (EOC4) of the quadruplet therapy and at the end of treatment or disease progression (EOT). Immune and tumor fractions were enriched by CD138 selection. Here, CD138- bone marrow mononuclear cells were isolated and transcriptionally profiled by scRNAseq and scTCRseq. Results: Single-cell RNA and TCR profiles were generated from ∼90,000 cells across 41 samples from 16 subjects. scRNAseq identified CD3+ T cells, NK cells, classical and non-classical monocytes and B cells. CD8+ T cells were further resolved into their subsets including precursor (TPEX) and terminally exhausted T cells (TEX) within the bone marrow microenvironment. Within the CD8+ T cell compartment, an expansion of the effector memory (TEM) cell population was observed following 2-cycles of therapy (EOC2). However, this TEM expansion was not sustained at timepoint EOC4. Towards the end of therapy, enrichment of precursors to exhausted and terminal dysfunctional effector memory cells (TEMRA) was observed. Subjects with partial (PR), very good partial (VGPR) and complete (CR) best overall responses showed an initial increase in TEM cells followed by a slow expansion of TEX and TEMRA cells over time. Longitudinal tracking of T cell clonality showed preferential progressive expansion of TEMRA cells after the therapy. We mapped hyperexpanded (more than 16 copies) clonotypes, presumed to be tumor-reactive, to various CD8+ T cell subsets. These hyperexpanded clonotypes mapped to the TEMRA, TEX and TEM CD8+ T cells. Analysis of TCR repertoires clonality and diversity also demonstrated a reduced richness and increased clonality of CD8+ TCRs in responders. Conclusions: Paired single cell RNA and TCR sequencing of BM T cells from RRMM patients receiving D-IPd quadruplet therapy revealed a selective expansion of clonotypic CD8+ T cells with a clonal replacement of BM exhausted clonotypes by dysfunctional circulating CD8+ T cells in responders over time. Citation Format: Chaitanya R. Acharya, Darwin D'souza, Reyka Jayasinghe, Mark Hamilton, Zhihong Zhihong, Seunghee Kim-Schulze, Hearn J. Cho, Shaji Kumar, George Mulligan. The immunomodulatory effects of daratumumab-based therapy on functional high-risk relapse/refractory multiple myeloma (fHRMM) patients enrolled in the MyDRUG trial [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 5258.

Observational studies have demonstrated that aspirin and/or PTSG2 inhibitor (e.g., celecoxib) use, before or after colon cancer (CC) diagnosis, is associated with a lower risk of recurrence. However, a randomized trial of adjuvant celecoxib therapy in stage III CC did not show improved survival compared to placebo treatment. We therefore hypothesized that immune microenvironment features may identify patient subgroups with stronger survival benefits from anti-inflammatory celecoxib treatment. Drawing from an NCI-Intergroup trial (Cancer and Leukemia Group B [now Alliance for Clinical Trials in Oncology]/SWOG 80702) for patients with stage III resected CC that compared 3 versus 6 months of adjuvant fluorouracil, leucovorin, and oxaliplatin ± 3 years of celecoxib, we conducted tissue-based tumor microenvironment profiling on 1,098 resected tumors using a custom 9-plex, T-cell multiplex immunofluorescence assay coupled with digital image analysis and supervised machine learning. The Kaplan-Meier method was used to describe disease-free survival, based on T cell density, and log-rank testing was performed. Cox proportional hazards models were used to examine unadjusted and adjusted associations between T cell density and disease-free survival (DFS). Two-sided P values ≤0.05 were considered statistically significant. We found that higher CD3+ T cell density was associated with longer DFS with an adjusted hazard ratio (HR) of 0.69 (95% confidence interval [CI] 0.52-0.91) for patients with densities in the highest tertile as compared the lowest tertile (P=0.01). T cell subset analysis showed that stromal regulatory T helper cells (HR 0.42 comparing highest to lowest tertile, CI 0.31-0.58, P&lt;0.001) and stromal memory cytotoxic T cells (HR 0.55 comparing highest to lowest tertile, CI 0.42-0.74, P&lt;0.001) were most strongly associated with longer DFS. Compared to the placebo group, adjuvant celecoxib use associated with improved DFS for patients with low but not high stromal CD3+ T cell density (adjusted HRs of 0.45 [CI 0.31-0.65] for lowest tertile and 1.13 [CI 0.73-1.74] for highest tertile; Pinteraction=0.01). This association was also seen when the analysis was restricted to microsatellite stable tumors (HR 0.50 [CI 0.32-0.80] for lowest density tertile and 1.50 [CI 0.87-2.59] for highest density tertile; Pinteraction=0.01). T cell subset analysis showed that DFS benefit for celecoxib use most strongly associated with stromal memory helper T cell density (HR 0.38 [CI 0.26-0.56] for lowest density tertile and 1.26 [CI 0.80-1.97] for highest density tertile; Pinteraction&lt;0.001). Together, these results show that while higher T cell infiltration is associated with improved DFS, lower T cell infiltration is associated with improved DFS for patients treated with celecoxib. This unexpected finding may inform immunomodulatory treatment strategies for CC. Citation Format: Yasutoshi Takashima, Chao Ma, Qian Shi, Andressa Dias Costa, Tyler Twombly, Juha P. Väyrynen, Melissa Zhao, Ardaman Shergill, Pankaj Kumar, Felix Couture, Philip Kuebler, Smitha Krishnamurthi, Benjamin Tan, Eileen M. O'Reilly, Anthony F. Shields, Shuji Ogino, Charles S. Fuchs, Jeffrey A. Meyerhardt, Jonathan A. Nowak. Prognostic and predictive role of T cell infiltration in stage III colon cancer (CC) treated with celecoxib: CALGB/SWOG 80702 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 5858.

Abstract Introduction: We previously developed a urine liquid biopsy assay to measure urine tumor DNA (utDNA) levels in bladder cancer (BC) patients. Here, we extended this approach significantly by layering in cell-free DNA fragmentomic and cell-free RNA analysis, and extending the method to the full spectrum of genitourinary (GU) cancers, to enable both GU cancer detection and tumor tissue of origin prediction. Methods: A total of 155 GU cancer patients and 34 healthy adults were enrolled in this prospective study. Preoperative urine was collected from 94 bladder cancer (BC) patients, including 65 with muscle-invasive disease, all undergoing cystectomy. Additionally, urine samples were collected from 18 renal cell carcinoma (RCC) patients undergoing nephrectomy and 42 metastatic prostate cancer (mPC) patients. Urine cfDNA and cfRNA were isolated and sequenced, with cfRNA sequenced to 100 million reads per sample on an Illumina NovaSeq X and cfDNA sequenced at 5x genome-wide coverage on a Novoseq S4 flow cell. To identify malignant tissue of origin, we analyzed somatic copy number alterations (CNAs), genome-wide fragment length ratios, and 4-mer end motifs. Tumor fraction (TFx) was estimated using ichorCNA, while DELFI was employed for fragment length ratios in 5 megabase bins across the genome and chromosome arm-level z-scores. Individual logistic regression models were developed based on each fragmentomic feature, and validated using a training and held-out testing approach. Outputs from these models were combined into a single comprehensive model, also trained and held-out tested using the same approach. Urine cfRNA transcript isoform abundance was quantified using Salmon and normalized to Transcripts Per Million (TPM) to account for sequencing depth variations. Results: Bladder cancer (BC) showed the highest mean tumor fraction (TFx, 10.5%), followed by RCC (3.8%) and mPC (3.4%). Among 94 BC patients, 42% achieved a pCR, while 58% had residual disease and did not. Patients without pCR had significantly higher urine TFx compared to those with pCR (14.7% vs. 4.7%, p=0.0008). A machine learning model based on genome-wide fragment length ratios achieved an ROC AUC of 0.74, while models using genome-wide CNAs and end motifs achieved AUCs of 0.81 and 0.88, respectively. Combining all features into a single model yielded an AUC of 0.92, with classification accuracies of 89% for bladder cancer, 80% for RCC, and 60% for prostate cancer. Additionally, urine cfRNA analysis using the top 1, 000 coding transcripts achieved an AUC of 0.95, with classification accuracies of 100% for mPC, 87% for BC, and 78% for RCC. Conclusion: Fragmentomic features from urine cfDNA and transcriptomic features from urine cfRNA demonstrate strong potential for predicting tumor tissue-of-origin in GU cancers, underscoring the promise of non-invasive diagnosis across the spectrum of GU malignancies through urine liquid biopsy. Citation Format: Pradeep Singh Chauhan, Irfan Alahi, Jessica Linford, Arpit Panda, Nathan Colon, Ryan Mueller, Faridi Qaium, Peter K. Harris, John Sheng, Eric H. Kim, Melissa A. Reimers, Zachary L. Smith, Woodson W. Smelser, Aadel A. Chaudhuri. Predicting genitourinary cancer tissue-of-origin using urine cell-free DNA fragmentomics and cell-free RNA [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 3258.

Abstract Recurrence after surgery remains a major cause of failure in head and neck squamous cell carcinoma (HNSCC), particularly for HPV-negative patients whose 2-year failure rate is &gt; 50%. There is unmet need for an accurate diagnostic test that predicts risk of recurrence prior to adjuvant therapy selection. We evaluated ctDNA in lymphatic exudate (“lymph”) collected via surgical drains at 24 hours to detect molecular residual disease (MRD) and compared its performance to plasma and adverse pathology features. Lymph, plasma and blood were collected from 76 HPV- HNSCC patients 24 hours after surgery. Tumor tissue was collected at surgery. 73 patients passed QC. Samples were sequenced using a 699-gene custom panel to a median of 6322x (lymph and plasma cfDNA) or 533x (tumor and blood genomic DNA). Tumor variants were directly genotyped in lymph and plasma using a tumor-informed pipeline. MRD status was determined using a calibrated cutoff based on mean variant allele fraction. Wilcoxon signed-rank test was used for comparisons. Kaplan-Meier estimator with log-rank test and Cox proportional hazards model were used for survival analysis. We previously demonstrated that 24 hour postoperative lymph ctDNA detects recurrence in HPV(-) HNSCC across two independent multi-site cohorts and by orthogonal sequencing approaches (sensitivity (SN) = 72%, specificity (SP) = 65%, p = 0.003, hazard ratio (HR) = 3.1, n = 73). When compared to other data available at this early time point (pathology and 24 hour postoperative plasma), lymph ctDNA outperformed each for recurrence detection (extranodal extension (ENE, p = 0.30), lymphovascular invasion (p = 0.02), perineural invasion (p = 0.38), positive lymph nodes (p = 0.03), plasma (p = 0.8)). We next evaluated lymph ctDNA in a critical subpopulation: patients considered intermediate risk by pathology (negative for ENE or margins but with one or more other adverse pathologic feature). Current NCCN guidelines recommend radiotherapy and to “consider systemic therapy” for these patients. Lymph ctDNA accurately stratified recurrence in this group with high sensitivity (SN = 88%, SP = 69%; P = 0.013, HR = 9.1, n = 24). Within this cohort, 77% of patients who received RT alone and later recurred were positive for lymph ctDNA at 24 hours, suggesting an opportunity to use molecular data in concert with pathology to identify patients who may benefit from adjuvant treatment intensification. Postoperative lymph represents a novel proximal analyte for MRD detection in HPV- HNSCC designed specifically for use in the immediate post-surgical window when adjuvant therapy decisions must be made. Lymph ctDNA is significantly associated with recurrence and outperforms both time-matched plasma and pathology. Accurate MRD identification at this early timepoint has the potential to augment traditional pathology and personalize adjuvant treatment paradigms in HPV-negative HNSCC. Citation Format: Seka Lazare, Zhuosheng Gu, Noah Earland, Adam Harmon, Maciej Pacula, Megan Long, Ashley Tellis, Damion Whitfield, Adam Benson, Lucien Khalil, Robert L. Ferris, Marra Francis, Aadel A. Chaudhuri, Jose P. Zevallos, Wendy Winckler. Postoperative lymphatic exudate in HPV-negative head and neck cancer detects recurrence prior to adjuvant treatment decisions [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 1946.