Citations

ABSTRACT Purpose Malignant rhabdoid tumor of the kidney (MRTK) is a rare, aggressive tumor seen in young children. The optimal timing of resection for locally advanced tumors is not well‐defined. The purpose of this study is to evaluate modern oncologic outcomes and the impact of surgical timing. Methods A multicenter retrospective review was performed by institutions participating in the Pediatric Surgical Oncology Research Collaborative. Children younger than 21 years old with MRTK diagnosed between 2000 and 2022 were included. Results Sixty‐nine patients were identified with MRTK and met the inclusion criteria. Median age of diagnosis was 10.1 months. Overall survival (OS) at 1, 5, and 10 years was 49%, 32%, and 19%, respectively. Patients with local Stage III disease who underwent upfront resection ( n = 18) compared to those who had delayed resection after NAT ( n = 15) had a similar OS, median OS greater than 60 months versus 14.6 months, respectively; p = 0.396. The surgical timing groups were balanced in terms of the presence of metastasis, length of follow‐up, and tumor characteristics. There was one occurrence of primary intraoperative tumor spill and two occurrences of organ injury in the upfront resection group compared to none in the delayed resection group. Conclusion MRTK carries a poor prognosis despite multimodal treatment. Histologic diagnosis may not be confirmed at presentation, and MRTK cannot be reliably distinguished from Wilms tumor on imaging alone. As overall survival is similar, the decision regarding surgical timing in locally advanced tumors should be individualized based on perceived resectability, balancing the risk of intraoperative complications against the possibility of tumor progression during neoadjuvant therapy.

Context.— The Goldman criteria are widely used to categorize diagnostic discrepancies in autopsy reports for hospital quality assurance. Despite their adoption, little is known about how consistently they are applied across institutions. Objective.— To evaluate the interrater reliability among academic pathologists applying the Goldman criteria to classify missed diagnoses in autopsy cases. Design.— Thirty autopsy cases from 2 academic hospitals were reviewed by 5 experienced autopsy pathologists. Each reviewer independently assigned Goldman classification scores (class I–IV) to missed diagnoses based on the original 1983 definitions. Consensus was defined as at least 60% agreement (≥3 of 5 raters). Fleiss κ and Gwet AC1 were calculated to assess interrater reliability. Results.— A total of 196 missed diagnoses were identified by at least 1 rater. Only 26% (51 of 196) achieved a consensus Goldman classification, and just 4% (8 of 196) had unanimous classification agreement. Most diagnoses (65%; 127 of 196) were not identified by at least 3 raters. Among consensus classification ratings, 49% (25 of 51) were class IV. Fleiss κ was 0.176 (slight agreement) while Gwet AC1 was 0.390 (fair agreement). Collapsing major (classes I–II) and minor (classes III–IV) categories modestly improved agreement. Conclusions.— Interrater agreement in applying the Goldman criteria is only fair to moderate, suggesting significant subjectivity in their application. As the criteria are used for institutional comparison and quality metrics, efforts to standardize definitions and provide reviewer training are warranted to improve reproducibility and utility.

Bruton tyrosine kinase inhibitors (BTKis) and BCL2 inhibitor (BCL2i)–containing regimens significantly improve survival outcomes in patients with chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL). Results from randomized clinical trials have demonstrated that time-limited treatment with BCL2i-containing regimens resulted in higher rates of undetectable measurable residual disease (uMRD) than BTKi monotherapy or chemoimmunotherapy (CIT). Pirtobrutinib (a noncovalent BTKi) and lisocabtagene maraleucel (CD19-directed CAR T-cell therapy) are newer options for relapsed or refractory disease after prior therapy with BTKi and BCL2i-contining regimens. Histologic transformation of CLL/SLL to diffuse large B-cell lymphoma (Richter transformation) is associated with a poor prognosis. Molecular analysis to determine whether there is clonal relationship between CLL/SLL and transformed diffuse large B-cell lymphoma is useful to select an appropriate treatment option. These NCCN Guideline Insights highlight significant updates to the NCCN Guidelines for the treatment of CLL/SLL and Richter transformation.

TPS577 Background: Pembrolizumab (pembro) for one year following resection of localized high risk clear cell renal cell carcinoma (ccRCC) in a phase 3 trial resulted in improvement in relapse-free survival and overall survival (Choueiri, NEJM 2024). However, 20% of patients still experienced a relapse within 2 years with no biomarker yet identified to predict who will respond to or needs adjuvant therapy. Addition of a tyrosine kinase inhibitor (TKI) to immunotherapy (IO) is a standard of care in metastatic ccRCC, but to date no studies have addressed the addition of a TKI to IO in the adjuvant setting. Subsequently, phase 3 STRIKE! was developed to explore the benefit of 6 months of tivozanib (tivo) added to pembro vs pembro alone in the adjuvant setting for resected high risk ccRCC. Methods: Eligible patients have an ECOG performance status ≤2 and a histologically confirmed diagnosis of RCC with clear cell component with or without sarcomatoid features after complete resection of the primary tumor, with pathology revealing pT2 grade 4 disease or any grade ≥ T3 or TxN1. Patients are also eligible if they developed metastasis within a year after resection and then underwent resection, definitive radiation or ablation of solid, isolated, soft tissue metastases (excluding brain and bone lesions) with no evidence of active disease (M1NED). Patients will be randomized 1:1 to intravenous pembro for 48 weeks with or without the addition of tivo 1.34 mg by mouth daily D1-21 q28D for 6 months stratified by stage (T2T3 vs T4/N1 vs M1NED) . With no limit on dose holds or interruptions of tivo, dose reductions of tivo to 0.89 mg D1-21 q28D or tivo 0.89 mg every other day are allowed. No dose reductions of pembro are permitted. Following baseline imaging to confirm no disease, imaging is performed every 12 weeks for first year, every 16 weeks for second year, every 24 weeks for third year and then annually until 5 years after registration or progression. The primary endpoint will be disease-free survival (DFS) as assessed by investigator, with secondary endpoints being overall survival, safety and tolerability. The study will enroll 1040 patients to detect a minimum detectable hazard ratio of 0.67 (24-month DFS 84% in experimental arm) with 90% power. Quality of life analysis will compare global quality of life and fatigue between the two arms. Imaging and specimens will be banked for future research. The study opened to accrual in April 2025 and at this time 106 patients have enrolled. Clinical trial information: NCT06661720 .

476 Background: Lack of standardized reporting and collection of patient-reported outcomes (PROs) limits cross-trial comparisons of first-line IO-based regimens for mRCC. Prospectively collected real world data may fill this important knowledge gap. Pts with stable/improved QoL at 3 mo versus baseline have longer median OS than pts with worse/unobserved HRQoL versus baseline (Cella, 2024). Methods: ODYSSEY is a multi-site, prospective observational study of 468 US pts with mRCC. Pts must have mRCC (any histology), no prior systemic therapy (ST), and follow up at a PCORnet study site. Exclusion criteria include treatment for cancer except mRCC. Descriptive statistics are used to show PRO score changes from baseline. We evaluate longitudinal change from baseline in PRO scores using least squares mean (LSM). Minimally important differences (MID) are 3 points for FKSI-19 total score, 1 point for the FKSI-Disease Related Symptoms (DRS) subscale and 7 points for FACT-G. Higher score indicates better QOL. The primary objective is to determine patterns of change in QOL and symptom burden of pts with mRCC. Results: As of 10/1/25, 360 pts were managed with ST, including 266 pts on IO-based combinations: 35 cabozantinib + nivolumab (C+N), 49 lenvatinib + pembrolizumab (L+P), 40 axitinib + pembrolizumab (A+P), and 142 ipilimumab + nivolumab (I+N). Overall median follow-up is 12.1 mos (IQR 6, 24). Age, sex and race were similar across regimens. Prior nephrectomy (50%) was lower than in trials. C+N and L+P pts had less clear cell (56 and 65%) versus A+P and I+N pts (94 and 82%). A+P pts had more favorable IMDC risk (19%) and less poor risk (14%). Baseline QOL was variable across regimens, with L+P generally the lowest. Absolute changes in PROs from enrollment to mo 3 (early change) by regimen are shown in the Table. LSM change from baseline in FKSI-19 and FKSI-DRS favored IO-IO versus IO-TKI at 3 mos but not at 6 mos (not shown). Conclusions: While early change in PROs did not meet the MID threshold between the IO-TKI and I+N cohorts, different patterns of early change are apparent among specific IO-TKI regimens. IO-TKI regimens exhibited higher variation in early PRO change vs I+N. As the data matures, we will associate baseline PROs and early PRO changes with early death and other outcomes. Clinical trial information: NCT04919122 . 3 month change. Instrument C+N (N=35) L+P (N=49) A+P (N=40) All IO-TKI(N=124) I+N(N=142) FKSI-19, N (%) 26 (74) 33 (67) 33 (83) 92 (74) 104 (73) Mean (SD) -0.3 (11) 2.8 (13) -3.2 (12) -0.2 (12) 0.7 (10) Median (IQR) 1.4 (-7, 6) 5.0 (-7, 11) -1.0 (-14, 5) 1.4 (-10, 8) -0.3 (-5, 6) FKSI-DRS, N (%) 26 (74) 33 (67) 33 (83) 92 (74) 104 (73) Mean (SD) -0.8 (5) 1.5 (7) -1.8 (6) -0.3 (6) 0.8 (5) Median (IQR) -0.5 (-5, 3) 2.0 (-5, 5) -1.0 (-5, 3) 0.0 (-5, 4) 0.0 (-2, 4) FACT-G, N (%) 27 (77) 32 (65) 29 (73) 88 (71) 102 (72) Mean (SD) 2.1 (14) 5.2 (16) -3.5 (15) 1.4 (15) 0.3 (13) Median (IQR) 4.0 (-4, 10) 1.2 (-6, 13) -6.4 (-11, 4) 1.6 (-8, 10) 1.6 (-7, 8)

Abstract The adoption of electronic health records (EHRs) has transformed health care, improving efficiency and chart accessibility. However, the widespread reliance on unstructured data entry and the lack of standardized documentation frameworks have resulted in significant data fragmentation across health care systems. The prevalence of unstructured data in EHRs limits their potential for clinical decision support, trial matching, real‐world evidence (RWE) generation, and quality measurement. Data fragmentation in health care triggers a cascade of challenges that ultimately compromise patient care. Clinicians face an excessive documentation burden and struggle to locate critical information buried in unstructured notes. Researchers encounter difficulties in extracting reliable clinical data. EHR vendors grapple with standardizing unstructured information for interoperability, and payers are unable to process unstructured clinical data efficiently to support value‐based care models. These challenges are particularly acute in oncology, where complex clinical elements like cancer staging, disease status, and treatment changes require precise, structured documentation. Emerging artificial intelligence (AI) technologies, such as large language models (LLMs) and ambient listening, offer a path to automate structured data generation while reducing the workload on providers. Here, the authors propose LLM‐based workflows that balance automation with clinician verification, streamlining data entry without compromising accuracy. Realizing these benefits requires coordinated efforts among clinicians, researchers, EHR vendors, payers, and policymakers to align regulatory frameworks with AI‐driven innovations. This article outlines a strategy to enhance structured data capture within EHRs, ultimately improving patient care, research, and health care efficiency.

TPS259 Background: Despite currently approved therapies, most patients with metastatic colorectal cancer (mCRC) progress through all approved treatments and eventually succumb to their disease. Thus, novel therapies for chemotherapy-refractory mCRC are desperately needed. Inhibition of the DNA unwinding enzyme TOP1 is a well-characterized and clinically successful treatment strategy for mCRC. CBX-12 is a novel peptide-drug conjugate comprised of an exatecan warhead linked to a pH-Low Insertion Peptide (pHLIP). The principle behind this targeting mechanism is based on the Warburg effect, in which tumors establish a low pH extracellular environment. The pHLIP moiety of CBX-12 preferentially forms a unidirectional, transmembrane alpha helix in a low-pH extracellular environment. Thus, CBX-12 delivers its exatecan cytotoxic warhead preferentially into tumor cells. In mouse xenograft models, CBX-12 inhibited the HCT116 CRC xenograft model more potently than an equimolar dose of free exatecan. The phase 1 study of CBX-12 reported cytopenias as the predominant AEs and confirmed responses in several solid tumors including mCRC. Methods: This is a single-arm, phase 2 trial, with a Simon 2-stage design assessing CBX-12 for the treatment of chemotherapy-refractory mCRC. The primary objective is efficacy determined by RECIST v1.1 response rate. Secondary and exploratory objectives include evaluating the PK and PD as well as the progression-free survival (PFS) on CBX-12. Key inclusion criteria include: age ≥18 years, ECOG performance status ≤1, histologically or cytologically confirmed mCRC that is MSS/pMMR based on CLIA-approved testing, and progression on 2 or more lines of chemotherapy. This design requires 17 patients for stage 1, with termination if 1 or fewer objective responses are seen out of 17. If 2 or more patients out of 17 responds, then an additional 18 patients will be enrolled for stage 2. If 5 out of the total of 35 patients (14%) respond, then the trial would be declared successful. Correlative studies will include tumor plus peripheral blood PK to evaluate effectiveness of CBX-12 tumor targeting, ctDNA, and several tumor PD markers including TOP1-DNA trapping, SLFN11 expression, DNA damage, and apoptosis. The trial opened to enrollment on 8/21/25. Clinical trial information: NCT06730100 .