Variability in MRI vs. ultrasound measures of prostate volume and its impact on treatment recommendations for favorable-risk prostate cancer patients: a case series

Background: Prostate volume can affect whether patients qualify for brachytherapy (desired size ≥20 mL and ≤60 mL) and/or active surveillance (desired PSA density ≤0.15 for very low risk disease). This study examines variability in prostate volume measurements depending on imaging modality used (ultrasound versus MRI) and volume calculation technique (contouring versus ellipsoid) and quantifies the impact of this variability on treatment recommendations for men with favorable-risk prostate cancer. Methods: We examined 70 patients who presented consecutively for consideration of brachytherapy for favorable-risk prostate cancer who had volume estimates by three methods: contoured axial ultrasound slices, ultrasound ellipsoid (height × width × length × 0.523) calculation, and endorectal coil MRI (erMRI) ellipsoid calculation. Results: Average gland size by the contoured ultrasound, ellipsoid ultrasound, and erMRI methods were 33.99, 37.16, and 39.62 mLs, respectively. All pairwise comparisons between methods were statistically significant (all p < 0.015). Of the 66 patients who volumetrically qualified for brachytherapy on ellipsoid ultrasound measures, 22 (33.33%) did not qualify on ellipsoid erMRI or contoured ultrasound measures. 38 patients (54.28%) had PSA density ≤0.15 ng/dl as calculated using ellipsoid ultrasound volumes, compared to 34 (48.57%) and 38 patients (54.28%) using contoured ultrasound and ellipsoid erMRI volumes, respectively. Conclusions: The ultrasound ellipsoid and erMRI ellipsoid methods appeared to overestimate ultrasound contoured volume by an average of 9.34% and 16.57% respectively. 33.33% of those who qualified for brachytherapy based on ellipsoid ultrasound volume would be disqualified based on ultrasound contoured and/or erMRI ellipsoid volume. As treatment recommendations increasingly rely on estimates of prostate size, clinicians must consider method of volume estimation

ctDNA-based detection of molecular residual disease in stage I-III non-small cell lung cancer patients treated with definitive radiotherapy

BackgroundSensitive and reliable biomarkers for early detection of recurrence are needed to improve post-definitive radiation risk stratification, disease management, and outcomes for patients with unresectable early-stage or locally advanced non-small cell lung cancer (NSCLC) who are treated with definitive radiation therapy (RT). This prospective, multistate single-center, cohort study investigated the association of circulating tumor DNA (ctDNA) status with recurrence in patients with unresectable stage I-III NSCLC who underwent definitive RT.MethodsA total of 70 serial plasma samples from 17 NSCLC patients were collected before, during, and after treatment. A personalized, tumor-informed ctDNA assay was used to track a set of up to 16 somatic, single nucleotide variants in the associated patient’s plasma samples.ResultsPre-treatment ctDNA detection rate was 82% (14/17) and varied based on histology and stage. ctDNA was detected in 35% (6/17) of patients at the first post-RT timepoint (median of 1.66 months following the completion of RT), all of whom subsequently developed clinical progression. At this first post-RT time point, patients with ctDNA-positivity had significantly worse progression-free survival (PFS) [hazard ratio (HR): 24.2, p=0.004], and ctDNA-positivity was the only significant prognostic factor associated with PFS (HR: 13.4, p=0.02) in a multivariate analysis. All patients who developed clinical recurrence had detectable ctDNA with an average lead time over radiographic progression of 5.4 months, and post-RT ctDNA positivity was significantly associated with poor PFS (p&lt;0.0001).ConclusionPersonalized, longitudinal ctDNA monitoring can detect recurrence early in patients with unresectable NSCLC patients undergoing curative radiation and potentially risk-stratify patients who might benefit most from treatment intensification

Abstract 3931: BRD4, BRD3, NSD3, and ZNF532 fusions in histologies beyond NUT carcinomas: Investigation of a large pan-cancer cohort

Abstract Background: NUT rearrangements drive NUT carcinomas (NCs), which are rare, poorly differentiated tumors with a survival from diagnosis of ~6-7 months. Common NUT fusion partners (NCFPs) include BRD4, BRD3, NSD3, and ZNF532, which are associated with epigenetic changes leading to tumor growth. Recent clinical trials have aimed to address NCs, but little is known about fusions involving NCFPs in other histologies. We characterized NCFPs in a large, pan-cancer cohort. Methods: The MSK-IMPACT (DNA sequencing; n=71,423) and MSK-Fusion (RNA sequencing; n=10,897) clinical cohorts were mined to identify patients (pts) with all forms of structural variants (SVs) involving NCFPs, detected between April, 2015 and June, 2022. The targeted NGS panels included BRD4 and NSD3 only; detection of BRD3 and ZNF532 SVs was possible for fusions with a partner present on either panel. SVs were manually reviewed to identify in-frame fusions with oncogenic potential if critical domains present in NC fusions were conserved. Pts were followed through July 2022 and manual chart review enabled assessment of treatment history and clinical outcomes. Results: SVs involving NCFP genes were detected in 182 (BRD4=110, NSD3=61, BRD3=8 and ZNF532=3) pts (0.002%). Putative NCFP fusions not involving any of the NUT gene family members comprised a total of 20 fusions with likely oncogenic potential including 11 with BRD4 (55%), 5 with NSD3 (25%), 3 with ZNF532 (15%), and 1 with BRD3 (5%). BRD4::NOTCH3 and ZNF532::MALT1 were the most enriched fusions, present in 3 samples each. The most common histologies were breast (3 ductal; 1 lobular), lung (2 squamous cell carcinoma, 1 adenocarcinoma and 1 mixed histology), and colon and esophageal adenocarcinoma (2 samples each). Median age at diagnosis was 62. 11 (55%) pts were female and 9 (45%) were male. 13 (65%) pts ultimately were diagnosed with stage IV disease and had a median overall survival from stage IV diagnosis of 2.5 years (95% CI: 1.41, NR). DNA sequencing in 19/20 tumors revealed a mean tumor mutational burden (TMB) of 5.0 mut/Mb including 15 with low TMB (10). No tumor showed microsatellite instability (MSI-high). TP53 mutations were the most common co-alteration, found in 11 (58%) cases. 18/20 pts received systemic therapy; 18 (90%) received cytotoxic chemotherapy and/or mAb therapy, including 13 (65%) who received a platinum. 8 pts (40%) received immunotherapy (IO), and 4 (20%) received small molecule inhibitors. No pts received BET inhibitors. Among pts who received IO, median time to treatment discontinuation was 64 days (95% CI: 20, NR). Conclusion: Tumor sequencing from a large cohort reveals potential oncogenic fusions involving BRD4, BRD3, NSD3, and ZNF532 across multiple histologies. Further biological characterization of their oncogenicity and potential targetability is warranted. Citation Format: Ian R. Nykaza, Christopher A. Febres-Aldana, Sabrina T. Lin, Ryma Benayed, Kerry Mullaney, Emiliano Cocco, Alexia Iasonos, Marc Ladanyi, Alexander E. Drilon, Yonina R. Murciano-Goroff. BRD4, BRD3, NSD3, and ZNF532 fusions in histologies beyond NUT carcinomas: Investigation of a large pan-cancer cohort. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3931

Abstract 5239: Switching inhibitor class overcomes crizotinib resistance in a MET fusion-positive NSCLC with a novel acquired MET G1090A mutation

Abstract Purpose: MET fusions are oncogenic drivers of multiple cancers including non-small cell lung cancer (NSCLC). While MET fusion-positive tumors can be sensitive to MET tyrosine kinase inhibitors (TKI), to date no mechanisms of TKI resistance have been identified or characterized for MET fusion-positive disease. Experimental Design: Serial targeted genomic sequencing (MSK-IMPACT) was performed in clinical samples from a MET fusion-positive NSCLC treated with the type Ia MET TKI crizotinib. Structural modeling and in vitro kinase assays were used to characterize crizotinib resistance and to test the activity of MET inhibitors with alternative binding modes. Results: A novel MET G1090A resistance mutation was identified in a patient with a CD47-MET-rearranged NSCLC after crizotinib progression. In silico structural modeling and simulations indicated that the 2,6-dichloro-3-fluorophenyl moiety present on crizotinib directly binds to the side chain of the Y1230 residue in the activation loop of the MET wild type (WT) kinase. In the MET G1090A mutant kinase, the position of the Y1230 residue is predicted to be flipped roughly 180°. As a result, the interaction between crizotinib and Y1230 is compromised; this in turn is predicted to reduce crizotinib’s binding affinity for the mutant kinase. Similar results were obtained when MET WT and G1090A mutant kinases were modeled in complex with selective type Ib MET TKI (i.e., capmatinib, savolitinib and tepotinib). Conversely, we found that type II agents (i.e., cabozantinib and foretinib) were not predicted to interact with Y1230. Therefore, their binding affinity to the mutant MET kinase was predicted to be retained. In vitro kinase assays performed using titrations of crizotinib and capmatinib (representative type I agents) and of cabozantinib (representative type II agent) showed that all three TKI were active against the MET WT kinase (calculated IC50 of 2.5nM, 3.89nM and 1.59nM, respectively). However, the calculated IC50 for crizotinib and capmatinib were 6.04- and 48.4-fold higher than the calculated IC50 for cabozantinib against the MET G1090A mutant kinase. Consistent with the prediction of type II inhibitor activity, the patient was transitioned to cabozantinib. A marked clinical, radiographic, and metabolic response was observed. Conclusions: In MET fusion-positive cancers, the novel MET G1090A resistance mutation drives resistance to type I MET kinase inhibition. Drug binding mode switching to type II MET inhibition overcomes preclinical and clinical resistance, highlighting the need for further rational type II inhibitor development. Citation Format: Yonina R. Murciano-Goroff, Srinivasaraghavan Kannan, Jason C. Chang, Ryma Benayed, Ilya Blokhin, Natasha Rekhtman, Ann Elizabeth Sisk, Jaime Gibson, Lia Judka, Lauren Kaplanis, Madeline Merrill, Erica Sgroe, Chandra S. Verma, Alexander Drilon, Emiliano Cocco. Switching inhibitor class overcomes crizotinib resistance in a MET fusion-positive NSCLC with a novel acquired MET G1090A mutation [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5239

Mechanisms of acquired resistance to TRK inhibitors

3104 Background: First-generation TRK tyrosine kinase inhibitors (TKIs) are approved in a tumor-agnostic fashion in more than 40 countries for patients with NTRK fusion-positive adult and pediatric cancers. While resistance to these agents has previously been described, the exact frequency with which major mechanisms of resistance emerges is not clearly understood. Methods: Patients with an NTRK-fusion-positive tumor who received a first-generation TRK TKI were eligible. We retrospectively identified those patients that had post-progression tumor tissue analyzed by next-generation sequencing (NGS). The pattern of serial resistance to a second-generation TKI was analyzed when available. Results: Eighteen patients were identified. The median age was 46 years (range 2-67). Nine unique fusions were detected in ten different tumor types. NTRK1, NTRK2, and NTRK3 fusions were found in eight (44%), one (6%), and nine (50%) patients, respectively. Thirteen patients (72%) were treated with larotrectinib and five patients (28%) received entrectinib. NGS (MSK-IMPACT n = 17, Foundation One n = 1) carried out on post-progression tissue revealed the following profile of acquired resistance: on-target resistance (83%, n = 15/18), off-target resistance (11%, n = 2/18), and no identifiable mechanism (6%, n = 1/18). Among patients with on-target resistance, the most common mutation involved the solvent front (87%, n = 13/15: n = 7 NTRK3 G623R, n = 4 NTRK1 G595R, n = 1 NTRK2 G639L, n = 1 NTRK3 G623E) followed by the gatekeeper region (13%, n = 2/15: n = 1 NTRK1 F589L, n = 1 NTRK3 F617I). Two patients developed off-target alterations. One acquired BRAF V600E mutation and the other MET amplification. Interestingly, solvent front mutation loss was observed in two patients who transitioned to and progressed on a second-generation TRK TKI. One patient with a baseline NTRK1 G595R mutation developed polyclonal resistance with acquisition of KRAS G12A and NTRK1 G667A alterations as well as NTRK1 G595R loss. The other patient with NTRK3 G623R developed an NTRK3 F617I gatekeeper mutation with NTRK3 G623R loss. Conclusions: In NTRK fusion-positive cancers, on-target resistance preferentially involving the solvent front is more frequent than off-target resistance to first-generation TKI therapy. Furthermore, the sequential use of second-generation therapy appears to alter the evolutionary kinetics of mutation retention and acquisition