JCO Precision Oncology

Purpose: Metastatic pheochromocytoma and paraganglioma (PPGL) are rare neuroendocrine malignancies with limited systemic treatment options. Although inhibition of vascular endothelial growth factor (VEGF) signaling has demonstrated clinical benefit in metastatic PPGL, prospective data evaluating selective VEGF receptor inhibition remain limited. Axitinib is a potent and selective inhibitor of VEGFR-1, -2, and -3 with established activity in several solid tumors. We evaluated the efficacy and safety of axitinib in patients with progressive metastatic PPGL. Methods: Patients with progressive metastatic or unresectable PPGL were enrolled in a prospective, open-label, single-arm, phase II study (NCT03839498). Eligible patients had measurable disease according to RECIST version 1.1 and no prior treatment with a tyrosine kinase inhibitor. Axitinib was administered orally at an initial dose of 5 mg twice daily with protocol-defined dose modifications based on tolerability. The primary endpoints were objective response rate (ORR) and progression-free survival (PFS). Safety was assessed using the National Cancer Institute Common Terminology Criteria for Adverse Events (CTCAE). Results: Nineteen patients were enrolled, and 17 received study treatment. A confirmed partial response was achieved in 35.3% of treated patients. Median progression-free survival was 7.9 months (95% CI, 6.1-16.8 months), median duration of response was 7.4 months, median duration of treatment was 9.5 months, and median overall survival was 29 months. Hypertension, the most common treatment-related adverse event, occurring in 79% of patients, was effectively managed with antihypertensive therapy and dose modification. Other common treatment-related adverse events included fatigue, diarrhea, oral mucositis, and palmar-plantar erythrodysesthesia. No patient permanently discontinued treatment because of treatment-related toxicity. Conclusions: In patients with progressive metastatic PPGL, single-agent axitinib demonstrated clinically meaningful antitumor activity with a manageable safety profile. The observed efficacy compares favorably with sunitinib in this rare disease. The ability to maintain treatment despite predictable VEGF-associated toxicities suggests that axitinib represents a viable therapeutic option for patients with metastatic PPGL.

ABSTRACT BACKGROUND: Next-generation sequencing (NGS) and the development of targeted therapies have revolutionized cancer treatment. Molecular Tumour Boards (MTB) serve as collaborative platforms to integrate individual clinical and molecular information to make recommendations for personalized treatment. METHOD: This is a single-center, retrospective cohort study of patients presented at the Jewish General Hospital (JGH) MTB between July 2018 and Dec 2022. Clinical, molecular/pathologic data, MTB recommendations, and treatment details were collected. Treatment response was determined by radiological evaluation and physician clinical assessment. Fishers exact test and Log-rank tests were used to assess differences between groups. RESULTS: A total of 328 patients were presented to the MTB, including 23 with repeat presentations, resulting in 355 case reviews. Tumour-agnostic biomarkers were detected in 18.9% of cases, most commonly high tumour mutational burden (TMB, 9.5%) and HER2 amplification (4.3%). The most frequent actionable mutations were PIK3CA (19.8%) and PTEN (13.1%), often leading to recommendations for mTOR inhibitor therapy (26.0%). Overall, therapeutic recommendations were issued in 84.5% (300/355) of cases, and implemented in 43.3% (130/300). Patients who received MTB-recommended therapies achieved significantly higher objective response rates (ORR) (14.2% vs. 4.2%; P = 0.047), longer real-world progression-free survival (rwPFS) (5.6 vs. 3.5 months; HR 0.57; 95% CI 0.390 - 0.828; P = 0.003), and improved median overall survival (OS) (12.8 vs. 5.2 months; HR 0.60, 95% CI 0.452 - 0.793; P < 0.001) compared with those treated without MTB guidance. CONCLUSION: MTB is effective in identifying biomarker-matched therapeutic recommendations for advanced malignancies where limited standard-of-care treatment option is available.

Background: Severe hepatotoxicity has been reported when sotorasib follows immune checkpoint inhibitor (ICI) therapy, and fixed washout intervals have been proposed. We assessed prior ICI exposure and the ICI-to-sotorasib interval as separate risk factors. Materials and methods: We searched PubMed, Europe PMC, Embase, Web of Science, Scopus, CENTRAL, and meeting proceedings for comparative studies of grade 3 or higher hepatotoxicity after KRAS G12C inhibitors. Matched risk ratios (RRs) and unadjusted cohort data were synthesized separately, the latter with an exact conditional odds ratio (OR). Certainty was rated with GRADE. Results: Of 530 unique records screened, seven sources were included, all involving sotorasib. In the only matched analysis (meeting abstract, 386 patients per arm), prior ICI exposure was associated with higher risk (13.2% vs 4.4%, RR 3.00, 95% CI 1.76-5.10), whereas matched comparisons at 6 weeks (RR 1.11, 0.61-2.03) and 12 weeks (RR 1.08, 0.52-2.27) detected no difference but could not exclude important effects. All five unadjusted cohorts showed higher risk with shorter intervals, including 21/74 versus 8/75 patients in the earlier versus later interval quartiles of the CodeBreaK 200 trial, although effect sizes were heterogeneous (exact homogeneity P=0.006). Certainty was very low throughout. Conclusions: Prior ICI exposure was associated with higher risk of severe sotorasib-associated hepatotoxicity, with very low certainty. A shorter interval was associated with higher risk in unadjusted data only, and current evidence does not establish a mandatory washout period. Liver-test monitoring per the prescribing information applies to all patients, whereas additional surveillance after ICI exposure remains an untested precaution.

Purpose: Mifamurtide (liposomal muramyl tripeptide phosphatidylethanolamine [L-MTP-PE] is approved in many countries for osteosarcoma but remains unavailable for routine use in the United States (US). We describe the feasibility and outcomes of patients with osteosarcoma treated with mifamurtide at Memorial Sloan Kettering Cancer Center (MSK) through expanded access (EAP) and compassionate use (SPU) pathways. Methods: Medical records were retrospectively reviewed for patients with completely resected, high-grade osteosarcoma treated with mifamurtide at MSK from 2016-2026 through EAP or SPU protocols. Mifamurtide 2 mg per meter squared was administered intravenously twice weekly for 12 weeks, followed by weekly administration for 24 weeks. Outcomes were evaluated by treatment setting and, for upfront therapy, metastatic status and histologic necrosis. Results: Fifty-seven patients received mifamurtide (median age, 14 years; range, 2-60); 72% had localized and 28% metastatic disease at diagnosis. No serious adverse events were considered possibly or probably related to mifamurtide, and no new grade 3-4 safety signals emerged. Five patients with localized disease and [&ge;]90% necrosis at resection had no events, with 100% progression-free survival (PFS) and overall survival (OS) at median follow-up of 29 months. Among 22 patients with localized disease and <90% necrosis treated upfront, PFS was 82%, 66%, and 59% at 12, 24, and 48 months, respectively; OS was 95% at 12, 24, and 60 months. Among 8 patients with metastatic disease treated upfront, PFS was 73%, 58%, and 39% at 12, 24, and 36 months, respectively; OS was 100%, 86%, and 86%. Among 22 patients treated after relapse, PFS was 34%, 23%, and 17% at 12, 24, and 36 months, respectively; OS was 91%, 70%, and 35% at 12, 24, and 60 months. Conclusions: In this real-world US cohort, mifamurtide was feasible and safe to administer. Despite limitations of the EAP/SPU setting, single-institution administration, and patient heterogeneity, overall survival outcomes were encouraging.

Purpose Tarlatamab, a bispecific T-cell engager, has generated favorable response and survival outcomes in relapsed small cell lung cancer (SCLC). Factors influencing tarlatamab-associated treatment outcomes and toxicity have yet to be established. We performed a multivariate analysis to identify biomarkers associated with cytokine release syndrome (CRS) and immune effector cell associated neurotoxicity syndrome (ICANS) and integrated these variables into a novel risk stratification tool to identify patients at high risk of clinically significant toxicity. Patients and Methods Logistic and ordinal regression analyses evaluated the predictive value of variables contributing to the presence and severity, respectively, of CRS and ICANS in 115 patients with ES-SCLC receiving tarlatamab. Selected variables were then tuned using 5-fold cross-validation and incorporated into novel elastic net-based prediction models. Results Rates of observed CRS, ICANS, and dysgeusia were 46%, 28%, and 47%, respectively. ORR (overall response rate) and DCR (disease control rate) were 44% and 58.2%, while 6-month PFS (progression free survival) and OS (overall survival) rates were 30.4% and 54.9%, respectively. Excluding patients on tarlatamab <30 days, presence of dysgeusia was associated with a lower rate of disease progression (HR 0.44, p=0.00691) and death (HR 0.34, p=0.0145). The presence of, increased size and number of extracranial metastases as well as elevated baseline LDH were significantly associated with increased likelihood of CRS. Increased ECOG performance status, increased volume of brain metastases, development of CRS, and elevated baseline LDH were all associated with increased risk of developing ICANS. Our cross-validated risk model successfully predicted CRS grade [&ge;]2 and ICANS events with 90.9% and 75% sensitivity, respectively. Conclusions This exploratory analysis identified several predictive biomarkers of toxicity that successfully stratified low and high-risk populations as part of an internally validated novel risk scoring tool.

Background Immune checkpoint inhibitor (ICI) therapies have revolutionized oncology, but identifying patients who benefit remains a challenge, particularly in populations where ICIs are not the standard of care, including microsatellite stable colorectal cancer (MSS CRC) and rare solid cancers. We evaluated real-world performance of the Immune Profile Score (IPS), a validated DNA- and RNA-based molecular signature, in these cohorts. Methods In an exploratory analysis, we analyzed two real-world cohorts: 1) MSS CRC; and 2) MSS, tumor mutational burden-low rare solid cancers treated with off-label ICI. IPS-High and IPS-Low were calculated using a previously validated threshold. Cox proportional hazards models were fit to demonstrate prognostic utility for real-world overall survival (rwOS). In MSS CRC, time-to-next-treatment (TTNT) on prior non-ICI therapy was compared to rwOS on subsequent ICI therapy. Results In MSS CRC (n=46), IPS-High patients (13%) demonstrated clinically meaningful improvement in rwOS versus IPS-Low (Median OS: not reached vs 7.3 months; HR = 0.22, 90% CI 0.04-1.16). While IPS was not associated with TTNT on the preceding non-ICI line (HR = 1.07, 90% CI 0.60-1.91), it was associated with OS in patients receiving later line ICI (HR 0.21, 90% CI 0.04-1.22). In the rare cancers cohort (n=90; 26 unique malignancies), IPS-High (17.8%) was associated with longer OS to ICI therapy (HR = 0.26, 90% CI 0.11-0.61), even when restricted to histologies represented in both IPS groups (HR = 0.18, 90%, CI 0.05-0.62). Conclusions Preliminary evidence suggests that IPS may serve as a generalizable, pan-cancer biomarker capable of stratifying outcomes for ICI treatment in populations traditionally excluded from immunotherapy benefit.

Background: Pheochromocytomas and paragangliomas (PPGLs) are rare neuroendocrine neoplasms originating from chromaffin cells that express somatostatin receptors (SSTRs) and may therefore be susceptible to somatostatin analogue therapy. Despite this biological rationale, prospective evidence supporting the antiproliferative activity of somatostatin analogues in PPGL is limited. We conducted a multicenter phase 2 clinical trial to assess the efficacy and safety of lanreotide in patients with advanced or metastatic PPGL. [LAMPARA, NCT03946527] Methods: Patients with advanced or metastatic PPGL and evidence of recent disease progression received lanreotide depot/autogel 120 mg subcutaneously every 4 weeks. Treatment was planned for 52 weeks with an option to continue for an additional 52 weeks. Endpoints included overall survival (OS), progression-free survival (PFS), and response according to RECIST. Serum chromogranin A (CgA) was evaluated as an exploratory biomarker. A tumor growth rate analysis was planned to allow comparison with data from the CLARINET trial in gastroenteropancreatic NETs. Results: Eighteen patients (median age 42 years; range 28-77) across three centers participated; 78% carried SDHx mutations. Lanreotide was well tolerated with predominantly grade 1-2 adverse events and no treatment discontinuations due to toxicity. The most common treatment-emergent adverse events were diarrhea (67%), injection-site reaction (44%), constipation (39%), fatigue (39%), and abdominal pain (39%). Serious adverse events were reported in four patients and were assessed as not related or unlikely related to lanreotide. All 18 patients had at least one recorded post-baseline tumor assessment. Two partial responses were recorded during extended follow-up. At approximately 1 year, disease stabilization was observed in 11 of 13 patients (85%) with an available assessment, while two patients (15%) had progressive disease. Biomarker analysis showed substantial variability in serum CgA values. Tumor growth rate analysis revealed a median growth rate of 0.00124/day (tumor doubling time 559 days), comparable in order of magnitude to the rate of 0.00046/day observed in 83 lanreotide-treated patients in CLARINET, and consistent with a median PFS [&ge;]2 years. Conclusions: Lanreotide exhibits promising antiproliferative activity in PPGL, with a favorable safety profile and extended periods of disease stabilization. These findings support the consideration of SSAs as an option in managing SSTR-positive PPGLs, delaying more aggressive treatments until disease progression mandates escalation.

Background Immune checkpoint blockade (ICB) has become the standard of treatment for metastatic melanoma (MM). However, patients with melanoma brain metastases (MBM) are often excluded from clinical trials. Here we analyse patients within the real-world OxCITE cohort receiving ICB treatment for metastatic melanoma, with a focus on MBM, aiming to discern outcomes, prognostic factors and peripheral biomarkers. Methods Patients eligible for ICB treatment were recruited prospectively. Demographic, clinical and radiological data were collected from electronic patient records. Plasma samples were collected prior to the first cycle of treatment for plasma proteomic analysis. Results 307 patients were included, 81 of whom had MBM on commencing ICB. No difference in overall survival between patients with and without brain metastases was noted on multivariable analysis (HR=1.1, 95% CI 0.73-1.6, p=0.68), whereas hepatic metastases were associated with increased risk of death (HR 1.7, 95% CI 1.2-2.4, p=0.0019). Within the MBM group, steroid treatment (HR=2.5, 95% CI 1.3-5.0, p=0.006) was associated with poor OS, whilst treatment with single agent ICB (HR=1.9, 95% CI 0.86-3.9, p=0.11), symptomatic first presentation of MBM (HR=1.5, 95% CI 0.76-2.8, p=0.25) and anti-seizure drug treatment (HR=1.74, 95% CI 0.89-3.4, p=0.10) were not. Amongst all patients carriage of a BRAF mutation was associated with increased risk of MBM (OR 2.49, 95% CI 1.4-4.4, p=0.0007), and increased propensity to new brain metastases on ICB treatment (OR 2.5, 95% CI 1.1-5.9, p=0.036). Analysis of blood and plasma samples demonstrated that patients with MBM have altered haematological profiles, with raised NLR and increased plasma glial fibrillary acidic protein levels, reinforcing the distinct systemic features of MBM. Conclusions In this real-world cohort of patients receiving ICB for metastatic melanoma, the presence of MBM did not associate with worse OS. Conversely, baseline corticosteroid use was adversely prognostic. Intriguingly, plasma GFAP was significantly elevated in patients with MBM and correlated with the burden of intracranial disease, highlighting a potential role for GFAP as a candidate biomarker for MBM in high-risk surveillance. Our observations indicate the adversely prognostic weight historically attached to M1d disease is no longer applicable in the ICB era.

Background and Objective: Adding belzutifan to adjuvant pembrolizumab improved disease-free survival (DFS) in LITESPARK-022, but its durability beyond the 1-year treatment is unknown. Methods: Following a registered plan, we reconstructed individual patient data from published Kaplan-Meier curves of ten phase 3 adjuvant renal cell carcinoma trials. Within each trial, we estimated restricted mean survival time differences ({Delta}RMST), hazard ratios (HRs) before and after planned treatment ended, and DFS differences. Key Findings and Limitations: In LITESPARK-022 (central review), the 24-month {Delta}RMST was 1.34 months (95% confidence interval 0.73-1.95), and the belzutifan arm remained ahead after month 12 ({Delta}RMST increment 0.74 months/yr, 0.32-1.19). The HR was 0.55 (0.43-0.71) before month 12 and 1.16 (0.87-1.54) afterwards (post/pre ratio 2.10); investigator assessment showed similar attenuation. Similar ratios occurred in KEYNOTE-564 at its first interim analysis (2.02), whose benefit persisted, and in SORCE and PROTECT (2.09, 2.59), whose benefit faded. From months 12 to 30 (post hoc), the DFS difference changed by -3.7 percentage points (-8.1 to 0.8) with central review and 0.6 (-4.0 to 5.0) with investigator assessment. Data were reconstructed, and follow-up was short. Conclusions and Clinical Implications: Relative hazard reductions with belzutifan were greater before month 12; durability of the absolute DFS advantage is uncertain and assessment-dependent, so single-HR projections should be avoided.

Background: Although perioperative fluorouracil, leucovorin, oxaliplatin and docetaxel (FLOT) is the standard neoadjuvant regimen for resectable gastric and gastro-oesophageal junction adenocarcinoma, evidence describing treatment delivery in routine clinical practice remains limited, particularly regarding relative dose intensity (RDI) and treatment completion. Objectives: To evaluate real-world delivery of preoperative FLOT chemotherapy, including treatment completion, progression to surgery, RDI, toxicity and exploratory changes in estimated lean body mass (LBM). Methods: A retrospective single-centre service evaluation included consecutive patients receiving neoadjuvant FLOT during 2024. Outcomes included treatment completion, surgery, RDI, toxicity, pathological response and estimated LBM. Descriptive statistics were used. Results: Twelve patients were included (median age 68.6 years; 91.7% male). Eleven (91.6%) completed all four preoperative cycles and proceeded to surgery. Mean RDI was 76.7%. Pre-emptive dose capping was the predominant dose modification strategy, with only one reactive dose reduction. Two grade 3 adverse events occurred. Major pathological response (Mandard grade 1-2) was observed in 2/12 patients (16.7%). Mean estimated LBM declined from 54.3 to 53.4 kg. Greater LBM loss appeared to coincide with poorer clinical outcomes. Conclusions: High treatment completion and progression to surgery were achieved despite reduced RDI. These findings support prospective evaluation of strategies to optimise chemotherapy delivery while maintaining tolerability in routine clinical practice.

Background Chemotherapy (CT) de-escalation strategies based on dual HER2 blockade with trastuzumab and pertuzumab (HP) have shown promising efficacy in HER2-positive (HER2+) early breast cancer (EBC), but biomarkers to guide patient selection are lacking. The Ataraxis Breast platform (ATX) uses artificial intelligence (AI) models integrating hematoxylin-eosin (H&E) whole-slide images and clinical variables to predict pathological complete response (pCR) and long-term outcomes. We evaluated ATX in the phase II PHERGain (NCT03161353) and PHERGain-2 (NCT04733118) trials. Methods The ATX NEO model was assessed for pCR prediction in PHERGain (n=306 evaluable patients) and PHERGain-2 (n=383 evaluable patients). The ATX RISK model was evaluated for prognosis in PHERGain (n=309 evaluable patients). Prespecified cutoffs classified patients into low-, medium-, and high-probability groups for pCR and low- or high-risk groups for recurrence. Associations with pCR were assessed using logistic regression. Prognostic performance was evaluated using Cox proportional hazards models, Kaplan-Meier estimates, and Harrell's C-index. Results Overall pCR rates were 40.2% in PHERGain and 60.3% in PHERGain-2. Continuous NEO scores were significantly associated with pCR in both PHERGain (odds ratio [OR], 1.28; 95% CI, 1.11-1.48; P<0.001) and PHERGain-2 (OR, 1.30; 95% CI, 1.13-1.52; P<0.001). Using prespecified cutoffs, pCR rates increased across low-, medium-, and high-probability groups (19.2%, 41.3%, and 48.3% in PHERGain; 29.5%, 61.6%, and 70.1% in PHERGain-2). In PHERGain, the RISK score was significantly associated with event-free survival (hazard ratio per 1-SD increase, 1.56; 95% CI, 1.17-2.08; P=0.002; C-index, 0.66). Five-year event-free survival was 93.9% in the low-risk group and 83.1% in the high-risk group. Conclusions NEO score was consistently associated with pCR across two independent HER2+ EBC trials, while RISK score provided prognostic information for long-term outcomes in PHERGain. Prespecified score categories identified clinically distinct response and risk groups. These findings support further evaluation of AI-based biomarkers to refine patient selection for CT de-escalation strategies in HER2+ EBC.

New prognostic biomarkers for oesophageal adenocarcinoma (OAC) may help treatment planning as current staging does not accurately predict survival for many patients. We used a 451 cancer-associated gene panel to assess genomic alterations associated with survival for a cohort of 65 OAC patients who underwent surgical resection without perioperative treatment, reflecting institutional practice at the time. Median age at operation was 72 years, 88% were male, median 32 lymph nodes were removed per patient, and minimum follow-up exceeded 11 years. TNM stages (pTNM, 8th ed.) were 14% stage 1, 14% stage 2, 45% stage 3, and 6% stage 4 (non-locoregional nodal metastases). Copy number changes were common, and somatic mutations were similar to those reported previously. Genetic associations with worse survival included amplification of CCND1 (HR=3.08, p=0.02), EGFR (HR=2.98, p=0.01), loss of ARID2 (HR=2.12, p=0.05), KMT2D (HR=1.99, p=0.07) and missense mutation within RYR1 (HR=2.68, p=0.01). This study identifies candidate genomic prognostic biomarkers in OAC using a cohort treated by surgery alone, enabling assessment of tumour biology independent of the confounding effects of peri-operative systemic therapy and radiotherapy. Several of the identified alterations are potentially targetable, supporting further investigation of genomic profiling to refine prognostication and guide treatment selection.

The FORESEE trial (NCT04450706) was a prospective study to evaluate the feasibility of integrating organoid-based drug testing with comprehensive genomic characterization to inform treatment selection in patients with HER2-negative metastatic breast cancer. The primary objective of the study was to determine the feasibility of providing personalized therapy recommendations using a combination of genomic vulnerability information with drug testing in patient-derived organoids (PDOs) in a clinically relevant time frame. Of the 15 patients enrolled, 10 cases had biopsies with adequate tumor content, and PDOs were successfully established in 4 of 10 cases. Drug profiling and genomic testing was completed in all established organoids, yielding an overall success rate of 40% in cases of biopsies with adequate tumor content. Drug sensitivity and genomic results were returned within 12 weeks and informed subsequent treatment selection in all evaluable cases. The primary endpoint - demonstrating that PDO-based drug screening combined with genomic characterization would identify clinically actionable outcomes in at least 46% of patients based on prior data - was not met. In conclusion, successful PDO establishment represents a limiting step in the implementation of FPO for metastatic breast cancer; however when PDO were successful, drug responses were always obtained and physicians chose to use the information in 100% of cases. These findings highlight the need for improved strategies optimizing use of patient biopsy material for drug testing in order to fully realize the clinical potential of FPO.

Deep learning (DL) applied to haematoxylin and eosin (H&E)-stained pathology images can predict microsatellite instability (MSI) in gastric cancer (GC). We evaluated its diagnostic accuracy and discriminative performance. PubMed, Embase, Cochrane Library and Web of Science were searched for studies applying DL to H&E images for MSI prediction in GC. The protocol was prospectively registered in PROSPERO (CRD420261503140). Risk of bias was assessed with QUADAS-2. Pooled sensitivity and specificity were estimated with a bivariate random-effects model, with subgroup analyses by validation strategy and data source; slide-level areas under the curve (AUCs) were pooled after logit transformation. Prespecified scenario analyses assessed robustness. Ten studies were included; seven independent datasets from six studies entered the primary synthesis. Pooled sensitivity, specificity and summary receiver operating characteristic AUC were 0.78 (95% CI 0.63-0.88), 0.85 (95% CI 0.77-0.90) and 0.89 (95% CI 0.86-0.91); nine studies contributed to the secondary AUC synthesis (pooled AUC 0.85, 95% CI 0.80-0.89). Hospital-derived cohorts showed numerically higher sensitivity (0.86) and diagnostic odds ratio (39.8) than TCGA-derived cohorts (0.71 and 11.5), but subgroup differences were limited by the small number of studies and substantial heterogeneity. DL models show good diagnostic accuracy for MSI prediction in GC, but clinical utility still requires confirmation in standardised multicentre, independent external and prospective studies.

This was a cohort study of 1,663 subjects (1196 women, 467 men; median age 48 years, IQR 37-57) with thyroid nodules recruited from 2020 to 2025 in five tertiary medical centers. Cytological/histopathological diagnoses were established by an independent review committee, and preoperative serum thyroid hormone metabolites (THMs) were tested using liquid chromatography tandem mass spectrometry. A diagnostic model on this serum THM test to distinguish between differentiated thyroid cancer (DTC) and benign thyroid nodule (BTN) was trained on 872 retrospective subjects (454 DTC and 418 BTN), followed, prospectively, by model validation on 392 subjects (195 DTC and 197 BTN) and a second validation on 399 subjects (300 DTC and 99 BTN). Following successful diagnostic model training, the model validation demonstrated a diagnostic specificity of 99.5% (196/197), sensitivity of 92.3% (180/195), positive predictive value (PPV) of 99.4%, negative predictive value (NPV) of 92.9%, and diagnostic accuracy of 95.9% (95% CI, 90.8 to 100.0%) for DTC. Combination of the two validation cohorts showed a diagnostic specificity of 99.7% (295/296), sensitivity of 92.1% (456/495), PPV of 99.8%, NPV of 88.3%, and diagnostic accuracy of 94.9% (95% CI, 91.5 to 98.0%) for DTC. The test on indeterminate Bethesda categories III-IV (139 DTC, 87 BTN) showed a diagnostic specificity of 100.0% (87/87), sensitivity of 93.5% (130/139), PPV of 100.0%, NPV of 90.6%, and diagnostic accuracy of 96.0% (95% CI, 89.2 to 100.0%) for DTC. This study develops a novel molecular blood test of serum THMs for preoperative diagnostic evaluation of thyroid nodules, which displays a high PPV and decent NPV with an excellent overall diagnostic accuracy for DTC.

Introduction: Tumors are known to develop genomic heterogeneity over time, particularly in metastatic disease, raising concerns that a single-site biopsy may be insufficient to accurately predict response to medications. Methods: We used our 3D microtumor functional profiling platform that preserves key features of the native tumor microenvironment. We tested (i) six split samples from primary tumors and (ii) seven samples from primary tumors (ovarian, colon, and breast cancer) matched with their locoregional or distant metastases. Fresh tissue specimens were processed within 24 hours after surgery and treated with NCCN guideline-recommended chemo or targeted therapies at concentrations over four orders of magnitude. Cytotoxicity was evaluated after three days to generate dose response curves. The response correlations between the split sample or between the two matched sites were quantified using the concordance correlation coefficient ({rho}c) for the drug efficacy metrics. Results: We compared a total of 275 drug responses. The six split samples resulted in a strong correlation between the two tumor areas ({rho}c=0.95, p<0.001), supporting high assay reproducibility across distinct regions of the same tumor. Locoregional metastases were highly correlated with their primaries (ovarian to omentum {rho}c=0.97, p<0.001; ovarian to liver capsule {rho}c=0.93, p<0.001; colon to peritoneum {rho}c=0.91, p<0.001). A lesser correlation was observed with lymphogenic metastases (breast to axilla {rho}c=0.87, p<0.001), and the correlations of hematogenic metastases were even lower (colon to lung {rho}c=0.69 p<0.001; ovarian to soft tissue/colon {rho}c=0.58, p<0.001). No correlation was observed among specimens that were resistant to all tested medications. Conclusion: Tumor drug responses were highly preserved in locoregional metastases, whereas somewhat greater divergence was observed in lymphogenic or hematogenic metastases. Single-site functional profiling may remain informative for identifying treatment resistance and might reduce the risk of ineffective therapy selection in metastatic disease.

Purpose: Cyclin-dependent kinase 4/6 inhibitors in combination with endocrine therapy have become widely adopted as a first-line treatment approach for hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2-) advanced breast cancer (ABC). Through a collaboration between Novartis and the US Food and Drug Administration, we integrated multimodal data from phase III MONALEESA trials to identify novel prognostic factors for HR+/HER2- ABC. Experimental Design: Baseline clinical and genomics data were collected from patients in the MONALEESA-2, -3, and -7 trials. Circulating tumor DNA (ctDNA) from plasma samples and gene expression in archival tumor biopsies were analyzed. Machine learning models were trained (n = 1,355) on progression-free survival (PFS) using multimodal features via fusion models. In a test set (n = 382), prognostic performances were evaluated using the Kaplan-Meier, Cox, and Weibull models. Results: The late fusion model achieved a prognostic performance (C-index: 0.727, 95% CI: 0.641-0.799) slightly outperforming early fusion (C-index: 0.718, 95% CI: 0.631-0.791) and single-modality models. Model-based risk stratification identified distinct low- and high-risk groups (PFS HR, 0.28; 95% CI: 0.20-0.38). Among the top 40 features for progression risk (18 clinical, 20 gene expression, and 2 ctDNA), these were associated with higher risk: liver involvement, higher histological grades, early relapse; lower STC2 and RBBP8 expressions and higher FBX05 expression; and higher tumor mutational burden and ctDNA purity. Conclusions: Integrating clinical and genomic modalities improved progression risk prediction compared with single-modality models, while highlighting salient features that inform the underlying biology and support hypothesis generation.

Introduction: Perioperative systemic therapy improves outcomes in gastroesophageal adenocarcinoma, but many patients do not receive postoperative treatment. We examined whether host characteristics and perioperative inflammatory and albumin changes provided information about adjuvant initiation beyond tumour pathology, and whether initiation was associated with survival and disease control. Method: This retrospective cohort included patients undergoing curative-intent resection for gastroesophageal adenocarcinoma at the McGill University Health Centre between 2006 and 2025. Sequential logistic models evaluated pathological characteristics, pre-treatment host variables and perioperative changes in CBC-derived neutrophil-to-lymphocyte ratio (cNLR) and albumin. Postoperative measurements preceded adjuvant initiation. Nested comparisons used matched complete cases. Day-90 landmark and time-varying Cox models assessed associations between adjuvant initiation and survival. Results: Among 243 patients, 78 (32.1%) did not initiate adjuvant therapy. Adding host variables improved apparent discrimination for initiation beyond pathology (AUC 0.672 to 0.763; P=0.002). Greater perioperative cNLR increase was associated with lower odds of initiation (adjusted OR 0.67 per unit increase in {Delta}log2; cNLR, 95% CI 0.47-0.95), whereas more favourable albumin change was associated with higher odds (OR 1.07 per g/L, 95% CI 1.01-1.13). Neither marker retained a clear independent association when modelled together. Adjuvant initiation by day 90 was associated with longer overall survival (adjusted HR 0.53, 95% CI 0.36-0.78) and disease-free survival (HR 0.57, 95% CI 0.39-0.84), with similar time-varying findings. Conclusion: Host inflammatory and albumin changes added information about adjuvant initiation beyond tumour pathology, and initiation was associated with longer survival. Prospective evaluation should determine whether host-directed perioperative strategies can improve postoperative treatment delivery.

Background: Gemcitabine-based chemotherapy is first-line for advanced biliary tract cancer (BTC) and pancreatic ductal adenocarcinoma (PDAC), but toxicity patterns are poorly defined at high altitude (>2,000 m). Clinical observations of heightened treatment toxicity at our high-altitude institution (Xining, ~2,261 m) prompted this population-level baseline study of gemcitabine toxicity signals. The present analysis uses only publicly available, de-identified FAERS data; institutional clinical experience motivates but does not validate the signals reported here. Methods: Four-metric disproportionality analysis (ROR primary, PRR, IC BCPNN, EBGM MGPS) of FAERS 2014-2026 (18.37M reports) across five non-exclusive gemcitabine groups (monotherapy, +ICI, +TKI, triple, BTC/PDAC disease-specific). Liver toxicity stratified into three MedDRA PT groups; fatal toxicity analyzed with dual definitions. BTC/PDAC queried via correct patient.drug.drugindication field. BH-FDR post hoc. EBGM used two implementations: a non-standard single-pair gamma(1,1) closed-form approximation (positivity-screening column in S1) and the standard openEBGM two-component MGPS. Complete-MGPS EB05 > 2 is the primary Bayesian criterion (10/17 pass); closed-form count (12/17) is labeled non-standard. Results: 14/17 exposure-AE combinations passed the three frequentist criteria (ROR/PRR/IC lower bounds); 10/17 additionally passed complete-MGPS EB05 > 2 (standard openEBGM caers fit). The non-standard closed-form count (12/17) is a labeled approximation only. Myelosuppression is the most consistent signal across all regimens (ROR 3.35-7.74); under complete MGPS the sparse all-role triple-combination cell had EB05=1.59. Triple combo liver toxicity (ROR=10.32, a=28, n=181 all-role) is driven by the Severe failure/hepatitis PT group (ROR=23.51); this cell is unstable under primary-suspect restriction (ROR=1.62, a=0, n=31; Supplementary S9) and is hypothesis-generating. Restricted to expanded fatal bridge: triple ROR 1.62 to 4.64 (zero overlap verified). BTC/PDAC thrombocytopenia (ROR=19.36) was independently reproduced at 19.70 after deduplication/PS filtering; PPV=94%. Conclusions: This study establishes baseline gemcitabine toxicity signals from a largely sea-level FAERS population. The fatal-liver-failure bridge and PT-stratified liver toxicity are hypothesis-generating signals. High-altitude hypotheses are mechanistic and not FAERS-testable; they require prospective validation.

Background: Pancreatic ductal adenocarcinoma (PDAC) is projected to become the second leading cause of cancer-related mortality, with an increasing incidence and dismal 10% survival at 5 years despite best available care. PDAC is characterized by low tumour cellularity, recurrent driver mutation alterations, and substantial inter and intra-tumoural heterogeneity. The influence of individual genetic features such as sex and ancestry on tumour heterogeneity remains poorly understood. Methods: We assembled a cohort of PDAC across five datasets for a total of 7,527 tumours. Measures of genomic instability were assessed across sex and ancestry on a global level (SNV density and percent genome altered by copy number events), and at a gene level for recurrent events. KRAS variant frequencies, ploidy and mRNA abundance were also evaluated. Ancestry was assigned using ADMIXTURE from germline genotypes where available, and patient reported otherwise. Results: We observed ancestry-specific mutation patterns in global point mutation density, with higher SNV burden in African PDAC tumours and lower SNV burden in Asian PDAC tumours as compared to European tumours. We also identified an ancestry bias in the driver gene, GNAS, in which driver SNVs in GNAS was detected more frequently in those of Asian ancestry, and less frequently in those of African ancestry. No sex- or ancestry-associations were found for KRAS, but individual KRAS variants showed a trend towards ancestry-related variation. Conclusions: These findings demonstrate that ancestry contributes to the genomic heterogeneity of PDAC, shaping both global and gene-specific mutation patterns. This work underscores the importance of including diverse ancestries in PDAC molecular profiling efforts which may inform the development of tailored molecular diagnostics and targeted therapies.