tbuckley/cabot-search huggingface dataset:
Population pharmacokinetics of trastuzumab deruxtecan (T-DXd) in subjects with HER2-mutant and HER2-overexpressing non-small cell lung cancer (NSCLC).
Authors: Amit Khatri, Enoch Cobbina, Shen Cheng, Malaz Abutarif, Tushar Garimella
Journal: Journal of Clinical Oncology (2024)

e20537 Background: T-DXd is a novel human epidermal growth factor receptor 2 (HER2) targeting antibody drug conjugate, approved globally at the dose of 5.4 mg/kg in HER2-positive or HER2-low breast cancer (BC) and HER2-mutant (HER2m) NSCLC 1,2 . The aim of the analysis was to characterize the populaton pharmacokinetics (PopPK) of T-DXd and its released payload, deruxtecan (DXd), in HER2m or HER2-overexpressing (HER2-OE) NSCLC subjects using data across tumor types (BC, NSCLC and others) from 12 Phase 1 to 3 studies with T-DXd doses ranging from 0.8-8.0 mg/kg. Methods: Analysis wasperformed using nonlinear mixed-effects modeling methods in NONMEM (version 7.4.3), similar to the previous analysis in HER2-positive BC 1 . Covariate effects were explored on the PK parameters of T-DXd and DXd. Results: Analysis included data across 1822 subjects, including 346, 1128, and 348 subjects with NSCLC, BC, and other cancers, respectively. The PK of T-DXd and DXd were adequately described by a PopPK model, judging by standard model diagnostics 3 . Covariate effects on T-DXd and DXd steady-state area under the concentration-time curve (AUC) were not clinically meaningful (within 0.8 to 1.25 AUC ratio interval for tested covariate level versus reference), except for subjects with high body weight (e.g., 90 kg; 95th percentile) showing a 31% and 37% higher T-DXd and DXd AUC, respectively, relative to typical subject with 58 kg body weight (median).The T-DXd and DXd AUC were also similar across subjects with BC, HER2m or HER2-OE NSCLC, with the same T-DXd dose. T-DXd and DXd AUC in NSCLC subjects were similar across subjects with mild hepatic or mild or moderate renal impairment (vs. normal counterparts), region (Asia, North America, Europe, and rest of the world), and race-country (Asian-Japan, Asian-Non-Japan, and Non-Asian) groups. Conclusions: T-DXd and DXd exposures were similar across subjects with BC and HER2m or HER2-OE NSCLC, as well as across hepatic function, renal function, region, and race-country groups within NSCLC supporting the use of 5.4 mg/kg dose (approved dose in BC) in HER2m or HER2-OE NSCLC from PK perspective. Reference: Enhertu [package insert]. Basking Ridge, NJ: Daiichi Sankyo, Inc.; 2022. Enhertu [summary of product characteristics]. Daiichi Sankyo Europe GmbH, Munich; 2022 Yin O et al. Clin Pharmacol Ther. 2021;109(5):1314-1325. Clinical trial information: NCT04644237 , NCT03505710 .
Real-world effectiveness and safety of amivantamab for exon 20 EGFR-mutant non-small cell lung cancer (NSCLC) in French early access program: Amexon 20 GFPC.
Authors: Thomas Pierret, Florian Guisier, Catherine Daniel, Renaud Descourt, Loick Galland, Olivier Molinier, Chantal Decroisette, Alexis B. Cortot, Diane Moreau, Laurence Bigay-Game, Marie Wislez, Nicolas Cloarec, Hubert Curcio, Nicolas Delberghe, Jacques Cadranel, Boris Duchemann, Anne-Claire Toffart, Lionel Moreau, Laurent Greillier, Jean-Bernard Auliac
Journal: Journal of Clinical Oncology (2024)

e20529 Background: Amivantamab is a bispecific EGFR/MET antibody approved for patients with NSCLC with EGFR exon 20 insertions. In France, early access has made it possible to use it as a second or further-line treatment after at least one line of chemotherapy. Methods: This is a retrospective multicentric cohort of consecutive patients with an adenocarcinoma and EGFR exon 20 insertions, who received at least one dose of amivantamab as part of the French early access program from September 3th, 2021 (date of approval in the French early access program) until April 30 th , 2022. Patients gave consent for the data collection and were enrolled in 28 sites. Primary end point was Real world Progression free Survival (Rw PFS) and secondary endpoints were description of clinical characteristics, best response, duration of treatment, overall survival (OS), CNS activity, toxicities and subsequent treatment. Results: Thirty-nine patients received amivantamab in early French access. Median age was 60 years [39-83]; 64 % of patients were female and 54% never smoker; 33% had PS 2 or more and 66 % had brain metastasis at inclusion. Amivantamab was administered as a second or third line and more in 30% and 70% of patients respectively. Patients received a median number of 10 injections [1-47]. Overall, 37 patients were evaluable for response; response rate was 35 % and disease control rate (DCR) was 62%. After a median follow-up of 11.3 months [8-16.7], median Rw PFS and OS were 3.5 months [2.6-5.8] and 11.3 months [8-17.8] respectively. Rw PFS and OS at 6 months were 33.3% and 74.4% respectively. Duration of response was 5.8 months [2.3-11.9]. Overall, 23 patients were evaluable for CNS response; 26 % had CNS response and CNS DCR was 69%. Main sites of progression were lung (43%), bone (28%), liver (12.8%) and brain (10%). Grade III/IV adverse events were reported in 11 patients (28.2%), mainly skin toxicity (n = 5), infusion reaction (n = 2), digestive disorders (n = 1), interstitial pneumonia (n = 1), neurological disorders (n = 1), fever (n = 1). Amivantamab was permanently discontinued due to toxicities in 4 patients (10.3%). Subsequent treatment was administered to 21 patients (53.8%) after amivantamab, mostly consisting of mono chemotherapy (n = 13). Conclusions: Our real-world multicenter analysis showed that amivantamab was an effective monotherapy treatment in second line and after for patients with EGFR exon 20 insertions. No new toxicities were reported.
Real-world clinical outcomes in Chinese patients with <i>EGFR</i>-mutated NSCLC progressed from first-line EGFR-TKI: A prospective multicenter study.
Authors: Panwen Tian, Lin Wu, Chengzhi Zhou, Jie Tan, Ke Wang, Feng Luo, Yongmei Liu, Yubiao Guo, Yinyin Li, Zhe Liu, Youling Gong, Yongsheng Wang, Weimin Li
Journal: Journal of Clinical Oncology (2024)

e20547 Background: EGFR-TKIs is standard of care for treatment-naïve EGFR mutated ( EGFRm) advanced NSCLC (aNSCLC). The clinical outcome after 1L EGFR-TKI in clinical practice is not well studied prospectively. Herein, we reported the real-world clinical outcomes in Chinese EGFRm aNSCLC progressed from 1L EGFR-TKI. Methods: This prospective, observational study enrolled 300 Chinese patients (pts) from 16 sites between March, 2020 and August, 2021. At data cut-off date of August 27, 2023. 291 eligible pts were included into the full analysis set (FAS) and 225 pts in FAS received second-line EGFR-TKI or chemotherapy were included into outcome analysis set (OAS). The clinical outcome (PFS and OS, measured from 2 nd line treatment) were presented. Results: The median age of 291 pts in FAS was 62 years, 57.0% was females and 29.3% pts with brain metastasis. EGFR mutation included 19del (143 pts, 49.1%), L858R (126 pts, 43.3%) and others (22 pts, 7.6%). 273 (93.8%) and 18 (6.2%) pts progressed from 1L 1G/2G EGFR-TKIs and 3G EGFR-TKIs, respectively. In OAS, overall mPFS and mOS in T790M + patients (90 pts) who received 2L 3G EGFR-TKIs were 14.7 (10.40-18.0) and 32 (25.20-NE) months, respectively. The mPFS and mOS by type of sample and T790M test results were presented in table. 85 pts with T790M- who progressed from 1L 1/2G EGFR-TKIs, including 51, 9 and 25 pts received 3G EGFR-TKIs, prior EGFR-TKIs plus local therapy, and chemotherapy as 2L therapy, respectively. The corresponding mPFS were 7.60 (95% CI, 4.70-10.40), 10.20 (2.30-14.90), and 4.90 (2.50-6.90) months, respectively. The corresponding mOS were 21.20 (12.10-NE), 16.60 (6.00-28.60), and 15.00 (9.40-NE) months, respectively. For T790M- patients with 19del (21 pts) and L858R (26 pts) mutation who received 2L 3G EGFR-TKIs, the mPFS was 21.00 (2.60-NE), and 8.00 (5.00-10.40) months, respectively. mOS was NE (21.00-NE) and 16.60 (8.20-24.60) months, respectively. 12 pts progressed from 1L 3G EGFR-TKIs, 10 and 2 pts received chemotherapy-based regimen and prior EGFR-TKIs plus local therapy as 2L therapy, respectively. The corresponding overall mPFS were 8.40 (95% CI: 1.20-11.80) months. The overall mOS was 14.20 (2.80-NE) months. Conclusions: The real-world treatment pattern and corresponding prognosis of EGFR-mutated NSCLC progressed from first-line EGFR-TKI were diverse, and among them those who received 3G EGFR-TKI at progression showed a better clinical outcome. These results supplemented the clinical evidence for the use of 3G EGFR-TKIs in EGFRm aNSCLC pts who progressed from 1L 1/2G EGFR-TKIs in the real-world setting. Clinical trial information: NCT04207775 . [Table: see text]
Single-cell transcriptome in the examination of the molecular characteristics of macrophages in lung cancer brain metastasis.
Authors: Jixing Zhao, Wu Yan, Wencong Huang, Yongsheng Li, Zhang Jing, Yingqiang Li, Jia Guo
Journal: Journal of Clinical Oncology (2024)

e20546 Background: Brain metastasis is one of the most common distant metastasis types in lung cancer patients. Its mechanism involves multiple factors, including cell-cell interactions, immune evasion, and the influence of the microenvironment. Single-cell RNA sequencing technology has significantly advanced our understanding of tumors at a single-cell resolution. It enables an in-depth understanding of the expression profiles of metastatic cells in brain tissue, providing potential predictive biomarkers for future monitoring, diagnosis, and effective treatment. Methods: We collected 50 samples from the GEO database, including 17 normal lung samples, 17 lung cancer samples, and 16 brain metastasis samples. We used the MNN method for batch correction and performed differential analysis using findAllMarkers and FindMarkers. Additionally, we conducted enrichment analysis using ClusterProfiler. Results: After batch correction and re-clustering of the macrophages, we identified 9 clusters. Based on their biological functions, they were classified into 5 macrophage subtypes: RTM_macro, Angio_macro, SEPP1_macro, Prolif_macro, and Mono_like. The angiogenic macrophages (Angio_macro) were most prominent in lung cancer brain metastasis samples (52%), followed by lung cancer (25%), and least present in normal samples (17%). Enrichment analysis revealed that iron death, antigen processing and presentation, and endoplasmic reticulum protein processing were more enriched in brain metastasis. This correlates with the high proportion of angiogenic macrophages present in the brain. The SEPP1_macro subtype showed high expression of SEPP1 and VCAN, genes associated with angiogenesis. Studies suggest that SEPP1 is associated with poor prognosis as it promotes neovascularization and tumor invasion. This subtype was highly expressed in brain metastasis (40%) and lung cancer (45%), but rare in normal samples (4%). In the SEPP1_macro subtype, brain metastasis samples were enriched in signaling pathways such as tumor necrosis factor, PI3K-AKT, NF-kB, and Mitogen-activated protein kinase (MAPK), focusing mainly on the interaction of cytokines and cytokine receptors. Conclusions: In lung cancer and lung cancer brain metastasis, there is a significant presence of macrophages that promote angiogenesis and subpopulations of tumor-promoting cells associated with poor prognosis. The existence of these two cell subsets may indicate their activation during tumor metastasis and their regulatory role in the formation of new blood vessels, thereby promoting tumor growth.
What is a bad ALK? A scoping review of molecular markers of poor prognosis.
Authors: Sze Wah Samuel Chan, Joy Zeng, Geoffrey Liu, Kevin Jao, Rosalyn A. Juergens
Journal: Journal of Clinical Oncology (2024)

e20530 Background: Patients with non-small cell lung cancer (NSCLC) with anaplastic lymphoma kinase ( ALK) rearrangements derive a significant and durable clinical benefit from tyrosine kinase inhibitors (TKI). However, a portion of patients have progressive disease as their best response and progress to death much earlier than expected which is termed primary resistance. This scoping review aims to summarize the known molecular mechanisms that underlie this lethal ALK phenotype. Methods: We performed a systematic scoping review from scientific databases such as Ovid Medline, Ovid Embase, and Cochrane Central Register of Controlled Trials. Data was extracted from the database inception to March 13, 2023. Studies included molecular markers of poor prognosis, with a focus on TP53, variant 3 re-arrangements, and reports of poor clinical response to TKIs (defined as progression-free survival less than 3 months on 1 st line TKI or overall survival less than 2 years from exposure to 1 st line TKI). 2 nd generation and 3 rd generation ALK TKI clinical trial data were also included. Results: A total of 4360 studies were screened and 136 studies were included. Numerous studies implicated the negative prognostic role of variant 3 likely mediated through the acquisition of on-target resistance mutations compared to other variants. TP53 mutations were also associated with a worse prognosis and implicated with greater chromosomal instability and mutational burden. Furthermore, reports of both variant 3 and TP53 mutations together were associated with even worse survival suggesting both molecular mechanisms combined can confer primary resistance phenotype. Other mediators of primary resistance included aberrations in cell cycle regulators such as CDKN2A/B loss, mutations in cell signalling pathways such as the PI3K/ AKT/mTOR pathway, deficiencies in DNA repair mechanisms, and uncommon fusion partners. Consistent with these prior studies, comprehensive genomic analysis from clinical trial data of 2 nd generation and 3 rd generation TKIs was unable to identify a singular genomic signature that underlies this lethal phenotype. However, a general trend from the literature suggested that the combination of multiple aberrations is likely necessary to confer a primary resistance phenotype, though the relative contribution of each somatic mutation likely will vary. Conclusions: This scoping review highlights that in NSCLC, the lethal ALK phenotype is likely composed of a heterogeneous population of various combinations of poor prognostic factors including variant 3, mutations in cell cycle regulators and other aberrations in cell signalling pathways. There remains an unmet need for a genomic assay to integrate all these various molecular markers to predict the lethal ALK phenotype.
Prediction of oncogene mutation status in non-small cell lung cancer leveraging radiomics from CT scans: A systematic review and meta-analysis with a special focus on artificial-intelligence-based methods.
Authors: Almudena Fuster-Matanzo, Alfonso Picó Peris, Fuensanta Bellvís Bataller, Ana Jiménez Pastor, Glen J. Weiss, Luis Martí-Bonmatí, Antonio David Lázaro Sánchez, Giuseppe Luigi Banna, Alfredo Addeo, Angel Alberich-Bayarri
Journal: Journal of Clinical Oncology (2024)

e20603 Background: In non-small cell lung cancer (NSCLC), alternative strategies to determine patient oncogene mutation status are essential to overcome some of the drawbacks associated with current methods. We aimed to review the use of radiomics alone or in combination with clinical data and to evaluate the performance of artificial intelligence (AI)-based models on the prediction of oncogene mutation status. Methods: A PRISMA-compliant literature review was conducted. The Medline (via Pubmed), Embase, and Cochrane Library databases were searched for studies published through June 30, 2023, predicting oncogene mutation status in patients with NSCLC using radiomics. Independent meta-analyses evaluating the performance of AI-based models developed with radiomics features or with a combination of radiomics features plus clinical data for the prediction of different oncogenic driver mutations were performed. A meta-regression to analyze the influence of methodological/clinical factors was also conducted. Results: Out of the 615 studies identified, 89 evaluating models for the prediction of epidermal growth factor-1 (EGFR), anaplastic lymphoma kinase (ALK), and Kirsten rat sarcoma virus (KRAS) mutations were included in the systematic review, including a total of 32,084 patients. A total of 38 met the inclusion criteria for the meta-analyses (encompassing 17,066 patients). The AI algorithms' sensitivity/false positive rate (FPR) in predicting EGFR, ALK, and KRAS mutations using radiomics-based models was 0.753 (95% CI 0.721–0.783)/0.346 (95% CI 0.305–0.390), 0.754 (95% CI 0.639–0.841)/ 0.225 (95% CI 0.163–0.302), and 0.744 (95% CI 0.605–0.846)/0.376 (95% CI 0.274–0.491), respectively. A meta-analysis of combined models was only possible for EGFR mutation, revealing a sensitivity/FPR of 0.800 (95% CI 0.767–0.830)/0.335 (95% CI 0.279–0.396). No statistically significant results were obtained in the meta-regression. Conclusions: Radiomics with a specific focus on CT-based models may represent valuable non-invasive tools for the determination of oncogene mutation status in NSCLC. Further investigation is required to analyze whether clinical data might boost their performance.
Prognostic factors for survival in NSCLC treated with immunotherapy: An institutional analysis.
Authors: Judy Huang, Rohit Khullar, Moinak Bhattacharya, Roger Keresztes, Prateek Prasanna, Amna Falak Sher
Journal: Journal of Clinical Oncology (2024)

e20591 Background: Immune check point inhibitors (ICIs) are the cornerstone of treatment for patients with advanced NSCLC. However, not all patients benefit from ICIs and some develop significant immune-mediated toxicities. There is limited data regarding prognostic factors in NSCLC patients treated with ICIs. Imaging features can complement clinical variables in predicting response to ICIs. This study aims to evaluate CEA, blood leukocyte markers, and novel CT-derived radiomic features as factors predictive of survival in this patient population. Methods: In this retrospective study, clinical data from patients with advanced stage NSCLC treated with ICIs at Stony Brook University Hospital from 2016 to 2021 were collected. Baseline and subsequent CEA (carcinoembryonic antigen), ANC (absolute neutrophil count), ALC (absolute lymphocyte count), NLR (neutrophil to lymphocyte ratio), AEC (absolute eosinophil count), and AMC (absolute monocyte count) were evaluated as independent prognostic factors. 3-D segmentation of ipsilateral lung lobe was obtained using U-Net and radiologist report of tumor location. 600 stable IBSI-standardized features were extracted from the region using PyRadiomics. The discriminative ability of clinical and image-derived variables was assessed using Kaplan-Meier survival and Cox proportional hazards regression analysis. Results: This study included 80 patients. Objective response rate (ORR) was 25.0% with 1-year OS of 58.0%. PD-L1 expression ≥ 50% was significantly associated with survival (p &lt; 0.02). Decrease in CEA (p &lt; 0.01) and 5% increase in AEC (p = 0.027) significantly correlated with survival. Age, sex, clinical stage, ANC, ALC, NLR, AMC did not significantly predict survival. Three image biomarkers that correlated with median enhancement of tissue on chest CT, and degree of tissue heterogeneity were significant predictors of mortality (p &lt; 0.02). A multivariable model with clinical inputs outperformed one with radiomic features only (C-index 0.70 vs. 0.64). Clinical and radiomic inputs together performed well in predicting survival (C-index 0.76). Conclusions: Changes in CEA and AEC were the strongest predictors of survival in advanced NSCLC patients treated with ICIs. This study suggests that combined clinical and radiomic biomarkers (quantifying local lobar heterogeneity) can identify patients most likely to benefit from immunotherapy. [Table: see text]
First-line immunotherapy in patients with mNSCLC with rare molecular alterations.
Authors: Sabrina Rossi, Giovanna Finocchiaro, Elena Lorenzi, Silvia Masini, Ettore D'Argento, Luca Toschi
Journal: Journal of Clinical Oncology (2024)

e20604 Background: Oncogene-addicted non-small cell lung cancer (NSCLC) is an heterogeneous group including different molecular alterations. Most single agent (IO) and combination immunotherapy (CT-IO) trials excluded specific oncogene-addicted NSCLCs such as ALK and EGFR; however, it is likely that other oncogene driven tumours were not tested for but included in these trials and could be actually treated with IO in clinical practice. Methods: Among 428 patients treated with IO or CT-IO as first-line treatment, 30 patients were identified to harbour rare molecular alterations (37% non-smokers, 63% former or current smokers): METex14 skipping mutation (n = 10), MET amplifications (n = 4), BRAF other than V600E mutations (n = 7), HER2 exon 20 insertions (n = 5), RET fusions (n = 2), EGFR exon 20 insertions (n = 2). We analyzed progression-free survival (PFS) and overall survival (OS) in patients harbouring these mutations who underwent first-line IO (if PD-L1≥50%; n = 23) or CT-IO (if PD-L1 &lt; 1-49% n = 2 or &lt; 1% n = 5). Results: In whole population median PFS was 5,1 months (95%CI: 2,39-11,29) and median OS 25,5 months (95%CI: 8,80-60,98); 13 patients experienced progressive disease as best response, the disease control rate (DCR) was 56,7%. Patients treated with IO (n = 22) had a mPFS of 4,7 m (95%CI: 2,13-23,48) and a mOS of 29,8 months (95%CI: 10,08-60,98); those treated with CT-IO (n = 8) had a mPFS of 5,1 m (95%CI: 2,29-6,01) and a mOS of 8,5 m (95%CI: 7,68-12,51). Among the most represented molecular alterations, MET alterations (n = 14, 3 treated with CT-IO and 11 with IO) had a mPFS of 5,1 m (95%CI: 1,67-23,90) and a mOS of 25,5 m (95%CI: 8,80-60,72). In particular METex14 skipping mutations had a mPFS of 5,1 m and a mOS of 25,5 m, while MET amplifications had a mPFS of 2,4 m and mOS of 10,3 m. BRAF nonV600E mutations (n = 7, 2 treated with CT-IO and 5 with IO) had a mPFS 5,3 m and mOS not reached. HER2 exon 20 insertions (n = 5, 2 treated with CT-IO and 3 with IO) had a similar mPFS (6,0 m) but a poorer OS outcome (8,5 m). ( Table 1) Conclusions: Our results show a limited effectiveness of both IO alone and CT-IO as first-line treatment in oncogene addicted mNSCLC, even taking into account survival outcomes of upfront CT compared to targeted agents in pivotal trials. [Table: see text]
Normalization of C1 Inhibitor in a Patient with Hereditary Angioedema
Authors: Nicholas E. Peters, Dylan J. Mac Lochlainn, Fatima Dhalla, Lucy Howarth, Girish L. Gupte, Khalid Sharif, Rashmi Jain, Dominic Kelly, Smita Y. Patel
Journal: New England Journal of Medicine (2024)

Hereditary angioedema is a potentially life-threatening autosomal dominant condition, causing attacks of angioedema due to failure to regulate bradykinin. Nearly all cases of hereditary angioedema are caused by mutations in the gene encoding C1 inhibitor,