Non-small Cell Lung Cancer Cohort Research Articles

Predictive value of ZFHX4 mutation for the efficacy of immune checkpoint inhibitors in non-small cell lung cancer and melanoma.

Studies have shown that the Zinc finger homeobox 4 (ZFHX4) might be a factor in the prognosis of malignancies. However, little is known about the association between the ZFHX4 mutation and the effectiveness of immune checkpoint inhibitors (ICIs) in non-small cell lung cancer (NSCLC) and melanoma. Three public ICIs-treated NSCLC cohorts were divided into discovery cohort (n=75) and validation cohort (n=62), which were used to evaluate the relationship between ZFHX4 mutation and ICIs effectiveness in NSCLC. Seven ICIs-treated melanoma cohorts (n = 418) were used to analyze the relationship between ZFHX4 mutation and immunotherapy efficacy in melanoma. NSCLC and skin cutaneous melanoma (SKCM) cohorts from The Cancer Genome Atlas (TCGA) were used to investigate underlying mechanism. Patients with ZFHX4 mutant-type (ZFHX4-Mut) showed a superior objective response rate (ORR) (P < 0.01) and longer progression-free survival (PFS) (P < 0.05) than patients with ZFHX4 wild-type (ZFHX4-WT) in NSCLC cohorts. In the melanoma cohorts, patients carrying ZFHX4-Mut had a higher ORR (P = 0.042) and longer overall survival (OS) (P = 0.011). Besides, patients with NSCLC and melanoma harboring ZFHX4-Mut had a higher tumor mutation burden (TMB) (P<0.001) and tumor neoantigen burden (TNB) (P<0.001) than those harboring ZFHX4-WT. ZFHX4 mutation was associated with higher levels of plasma B cells, activated CD4+ memory T cells, and CD8+ T cells. Seven DNA damage repair pathways were significantly enriched in the ZFHX4-Mut group. ZFHX4 mutation could serve as a predicter for the efficacy of ICIs therapy in NSCLC and melanoma.

Efficacy and safety of bintrafusp alfa, a bifunctional fusion protein targeting TGF-β and PD-L1, plus chemotherapy in patients with stage IV NSCLC

IntroductionIn a phase 1 study, bintrafusp alfa demonstrated encouraging clinical activity in patients with previously treated advanced non-small cell lung cancer (NSCLC). The current study evaluated the safety and efficacy of bintrafusp alfa with chemotherapy in patients with stage IV NSCLC regardless of the programmed death-ligand 1 (PD-L1) expression status. MethodsIn this open-label, phase 1b/2 study (NCT03840915), eligible patients were assigned to one of four cohorts. Patients with previously untreated metastatic NSCLC (cohorts A, B, and C) received bintrafusp alfa with chemotherapy as first-line treatment, whereas patients whose disease progressed on prior treatment with PD-1/PD-L1 inhibitors (cohort D) received bintrafusp alfa with chemotherapy as second-line treatment. The primary objective of this study was to evaluate the safety and tolerability of bintrafusp alfa with chemotherapy. ResultsFour serious and one nonserious treatment-emergent adverse events (AEs) were considered dose-limiting toxicities, none of which were assessed as related to bintrafusp alfa by the investigator. Any-grade bintrafusp alfa-related AEs occurred in 20.7% of patients in cohorts A+B+C and in 16.7% of patients in cohort D. Keratoacanthoma was the most common transforming growth factor-β inhibition-mediated skin lesion (cohorts A+B+C: 12.1% and cohort D: 8.3%). In cohorts A+B+C the overall response rate was 48.3% and in patients with PD-L1 tumor proportion score of ≥50.0% it was 71.4%. Based on an interim analysis, the data were considered mature, and no further analysis has been planned. ConclusionBintrafusp alfa with chemotherapy demonstrated a manageable safety profile and encouraging clinical activity in patients with stage IV NSCLC.

Circulating Interleukins as Biomarkers in Non-Small Cell Lung Cancer Patients: A Pilot Study Compared to Normal Individuals.

Identifying biomarkers in non-small cell lung cancer (NSCLC) can improve diagnosis and patient stratification. We evaluated plasmas and sera for interleukins (IL)-11, IL-6, IL-8, IL-17A, and IL-33 as biomarkers in primary NSCLC patients undergoing surgical treatment against normal volunteers. Exhaled-breath condensates (EBCs), a potential source without invasive procedures, were explored in normal individuals. Due to separate recruitment criteria and intrinsic cohort differences, the NSCLC and control cohorts were not well matched for age (median age: 65 vs. 40 years; p < 0.0001) and smoking status (p = 0.0058). Interleukins were first assessed through conventional ELISA. IL-11 was elevated in NSCLC plasma compared to controls (49.71 ± 16.90 vs. 27.67 ± 14.06 pg/mL, respectively, p < 0.0001) but undetectable in sera and EBCs by conventional ELISA. Therefore, high-sensitivity PCR-based IL-11 ELISA was repeated, albeit with concentration discrepancies. IL11 gene and protein upregulation by RT-qPCR and immunohistochemistry, respectively, were validated in NSCLC tumors. The lack of detection sensitivity across IL-6, IL-8, IL-17A, and IL-33 suggests the need for further, precise assays. Surprisingly, biomarker concentrations can be dissimilar across paired plasmas and sera. Our results identified a need to optimize detection limits for biomarker detection and caution against over-reliance on just one form of blood sample for biomarker assessment.

Validation of Non-Small Cell Lung Cancer Clinical Insights Using a Generalized Oncology Natural Language Processing Model.

Limited studies have used natural language processing (NLP) in the context of non-small cell lung cancer (NSCLC). This study aimed to validate the application of an NLP model to an NSCLC cohort by extracting NSCLC concepts from free-text medical notes and converting them to structured, interpretable data. Patients with a lung neoplasm, NSCLC histology, and treatment information in their notes were selected from a repository of over 27 million patients. From these, 200 were randomly selected for this study with the longest and the most recent note included for each patient. An NLP model developed and validated on a large solid and blood cancer oncology cohort was applied to this NSCLC cohort. Two certified tumor registrars and a curator abstracted concepts from the notes: neoplasm, histology, stage, TNM values, and metastasis sites. This manually abstracted gold standard was compared with the NLP model output. Precision and recall scores were calculated. The NLP model extracted the NSCLC concepts with excellent precision and recall with the following scores, respectively: Lung neoplasm 100% and 100%, NSCLC histology 99% and 88%, histology correctly linked to neoplasm 98% and 79%, stage value 98.8% and 92%, stage TNM value 93% and 98%, and metastasis site 97% and 89%. High precision is related to a low number of false positives, and therefore, extracted concepts are likely accurate. High recall indicates that the model captured most of the desired concepts. This study validates that Optum's oncology NLP model has high precision and recall with clinical real-world data and is a reliable model to support research studies and clinical trials. This validation study shows that our nonspecific solid tumor and blood cancer oncology model is generalizable to successfully extract clinical information from specific cancer cohorts.

Predictive power of different Akkermansia phylogroups in clinical response to PD-1 blockade against non-small cell lung cancer.

Immune checkpoint blockade has emerged as a promising form of cancer therapy. However, only some patients respond to checkpoint inhibitors, while a significant proportion of patients do not, calling for the discovery of reliable biomarkers. Recent studies reported the importance of the gut microbiome in the clinical response to PD-1 blockade against advanced non-small cell lung cancer (NSCLC), highlighting Akkermansia muciniphila as a candidate biomarker. Motivated by the genomic and phenotypic differences across Akkermansia muciniphila strains and Akkermansia (Akk) phylogroups (AmIa, AmIb, AmII, AmIII and AmIV), we analyzed fecal metagenomic sequencing data from three publicly available NSCLC cohorts (n=425). Encouragingly, we found that patients' responses to PD-1 blockade are significantly different across different Akk phylogroups, highlighting the relatively stronger association between AmIa and positive response than the other phylogroups. We built a machine learning model based on Akk gene profiles, which improved the predictive power and shed light on a group of Akk genes that may be associated with the response to PD-1 blockade. In summary, our study underlines the benefits of high-resolution analysis of Akk genomes in the search for biomarkers that may improve the prediction of patients' responses to cancer immunotherapy.

Clinical and molecular correlates of tumor aneuploidy in metastatic non-small cell lung cancer

Recent studies have linked elevated tumor aneuploidy to anti-tumor immune suppression and adverse survival following immunotherapy. Herein, we provide supportive evidence for tumor aneuploidy as a biomarker of response to immunotherapy in patients with non-small cell lung cancer (NSCLC). We identify a dose–response relationship between aneuploidy score and patient outcomes. In two independent NSCLC cohorts (n = 659 patients), we demonstrate a novel association between elevated aneuploidy and non-smoking-associated oncogenic driver mutations. Lastly, we report enrichment of TERT amplification and immune-suppressive phenotypes of highly aneuploid NSCLC. Taken together, our findings emphasize a potentially critical role for tumor aneuploidy in guiding immunotherapy treatment strategies.

Two-polarized roles of transcription factor FOSB in lung cancer progression and prognosis: dependent on p53 status

BackgroundActivator protein-1 (AP-1) represents a transcription factor family that has garnered growing attention for its extensive involvement in tumor biology. However, the roles of the AP-1 family in the evolution of lung cancer remain poorly characterized. FBJ Murine Osteosarcoma Viral Oncogene Homolog B (FOSB), a classic AP-1 family member, was previously reported to play bewilderingly two-polarized roles in non-small cell lung cancer (NSCLC) as an enigmatic double-edged sword, for which the reasons and significance warrant further elucidation.Methods and ResultsBased on the bioinformatics analysis of a large NSCLC cohort from the TCGA database, our current work found the well-known tumor suppressor gene TP53 served as a key code to decipher the two sides of FOSB – its expression indicated a positive prognosis in NSCLC patients harboring wild-type TP53 while a negative one in those harboring mutant TP53. By constructing a panel of syngeneically derived NSCLC cells expressing p53 in different statuses, the radically opposite prognostic effects of FOSB expression in NSCLC population were validated, with the TP53-R248Q mutation site emerging as particularly meaningful. Transcriptome sequencing showed that FOSB overexpression elicited diversifying transcriptomic landscapes across NSCLC cells with varying genetic backgrounds of TP53 and, combined with the validation by RT-qPCR, PREX1 (TP53-Null), IGFBP5 (TP53-WT), AKR1C3, and ALDH3A1 (TP53-R248Q) were respectively identified as p53-dependent transcriptional targets of FOSB. Subsequently, the heterogenous impacts of FOSB on the tumor biology in NSCLC cells via the above selective transcriptional targets were confirmed in vitro and in vivo. Mechanistic investigations revealed that wild-type or mutant p53 might guide FOSB to recognize and bind to distinct promoter sequences via protein-protein interactions to transcriptionally activate specific target genes, thereby creating disparate influences on the progression and prognosis in NSCLC.ConclusionsFOSB expression holds promise as a novel prognostic biomarker for NSCLC in combination with a given genetic background of TP53, and the unique interactions between FOSB and p53 may serve as underlying intervention targets for NSCLC.

Optimizing the spatial immune landscape of CD103+CD8+ tissue-resident memory T cells in non-small cell lung cancer by neoadjuvant chemotherapy.

Neoadjuvant chemotherapy (NAC) combined with immunotherapy is increasingly used in non-small cell lung cancer (NSCLC). Tissue-resident memory T (TRM) cells are the primary subset responding to anti-cancer immunity. However, the immunomodulatory effects of NAC on TRM cells remain unknown. We established two NSCLC cohorts including patients undergoing upfront surgery (US) and NAC followed by surgery. Beyond the unpaired comparison between the US cohort (n = 122) and NAC cohort (n = 141) with resection samples, 58 matched pre-NAC biopsy samples were available for paired comparisons. Using multiplex immunofluorescence, we characterized TRM cells (CD103+CD8+) and four heterogeneous TRM subsets, including naive TRM1 (PD-1-Tim-3-), pre-exhausted TRM2 (PD-1+Tim-3-), TRM3 (PD-1-Tim-3+), and terminally exhausted TRM4 (PD-1+Tim-3+). Cell density, cytotoxicity, and two spatial features were defined to evaluate the effect of NAC on TRM subsets. The cell densities, infiltration scores, and cancer-cell proximity scores of TRM cells, especially TRM1&2 subsets, were significantly increased after NAC and associated with better prognosis of patients. In Contrast, no significant change was observed in the TRM4 subset, which was associated with poor prognosis. Besides, the cytotoxicity of TRM subsets was unaltered after NAC. Compared with patients without major pathologic response (MPRs), patients with MPR had higher densities of TRM1&2 subsets and higher cancer-cell proximity scores of TRM2&3 subsets. Furthermore, increased density of CD31 + cancer microvessels was positively associated with both TRM and Tnon-RM cells after NAC. NAC may remodel the cell density and spatial distribution of TRM subsets, which is associated with favorable therapeutic effect and prognosis in patients with NSCLC.

A comprehensive meta-analysis of tissue resident memory T cell shaping non-small-cell lung cancer immune microenvironment and patient prognosis.

210 Background: Tissue-resident memory T cells (TRM) are a specialized subset of long-lived memory T cells that reside in peripheral tissues. However, the impact of TRM-related immunosurveillance on the tumor-immune microenvironment (TIME) and tumor progression across various non-small-cell lung cancer (NSCLC) patient populations is yet to be elucidated. Methods: Our comprehensive analysis of multiple independent single-cell and bulk RNA-seq datasets of patient NSCLC samples generated reliable, unique TRM signatures, through which we inferred the abundance of TRM in NSCLC. A machine learning model was developed to prognosticate survival, tested in multiple independent NSCLC cohorts. Model performance was corroborated through Kaplan-Meier survival plots, receiver operating characteristic (ROC) curves, principal component analysis, and t-SNE analyses. Results: We discovered that TRM abundance is consistently positively correlated with CD4+ T helper 1 cells, M1 macrophages, and resting dendritic cells in the TIME. In addition, TRM signatures are strongly associated with immune checkpoint genes and the prognosis of NSCLC patients. A TRM-based machine learning model to predict patient survival was validated and an 18-gene risk score was further developed to effectively stratify patients into low-risk and high-risk categories, wherein patients with high-risk scores had significantly lower overall survival than patients with low-risk. The prognostic value of the risk score was independently validated by the TCGA dataset and multiple independent NSCLC patient datasets. Notably, low-risk NSCLC patients with higher TRM infiltration exhibited enhanced T-cell immunity, nature killer cell activation, and other TIME immune responses related pathways, indicating a more active immune profile benefitting from immunotherapy. However, the TRM signature revealed low TRM abundance and a lack of prognostic association among lung squamous cell carcinoma patients in contrast to adenocarcinoma, indicating that the two NSCLC subtypes are driven by distinct TIMEs. Conclusions: Altogether, this study provides valuable insights into the complex interactions between TRM and TIME and their impact on NSCLC patient prognosis. The development of a simplified 18-gene risk score provides a practical prognostic marker for risk stratification. Keywords: Tissue resident memory T cell, non-small-cell lung cancer, prognosis, tumor immune microenvironment, machine learning.

Ancestry-, Sex-, and Age-Based Differences of Gene Alterations in NSCLC: From the Real-World Data of Cancer Genomic Profiling Tests.

Some genomic alterations in non-small cell lung cancer (NSCLC) are known to differ according to race, sex, or age. These studies have been limited in sample size and thus they cannot detect the differences precisely and comprehensively. Tissue-based comprehensive genomic profiling was performed on 75,362 patients with NSCLC from the United States during routine clinical care. Additionally, we examined data of a Japanese NSCLC cohort with 1,019 patients. In the US cohort, 296 genes were examined for pathogenic alterations. Predominant genetic ancestry was inferred using a SNP-based approach, and patients were categorized into European (EUR), African (AFR), East Asian (EAS), Admixed American (AMR), and South Asian (SAS) ancestry groups. Patients were additionally stratified by histologic type, age (<40/≥40 years, <75/≥75 years), and sex. The prevalence of high tumor mutational burden (TMB-High) and microsatellite instability status was also calculated. Stratified by ancestry, EGFR alterations were significantly enriched in EAS versus other ancestry groups. The prevalence of ALK was significantly higher in the AMR, EAS, and SAS patients than in AFR and EUR patients. KRAS and STK11 were enriched in EUR and AFR patients versus other groups. TMB-High was significantly enriched in AFR patients versus all other groups. An analysis based on sex revealed differences in prevalence of alterations in 80 genes and TMB-High status. For example, EGFR, ALK, BRAF, and KRAS alterations were significantly enriched in females, whereas TP53, STK11, KEAP1, and TMB-High were significantly enriched in males. With respect to age, the prevalence of alterations in 41 genes, including ALK, RET, MET, EGFR, STK11, KEAP1, BRAF, and KRAS, as well as TMB-High, were significantly different between patients aged <40 years and those aged ≥40 years. Comprehensive analysis from a large real-world dataset revealed ancestry-associated differences in genomic alterations in NSCLC. Age- and sex-related differences in prevalence of genomic alterations and TMB-High status were also observed.

Datopotamab deruxtecan (Dato-DXd) in Chinese patients (pts) with advanced or metastatic non-small cell lung cancer (NSCLC): Results from the phase 1/2 TROPION-PanTumor02 study.

8548 Background: Dato-DXd consists of a humanized anti-TROP2 IgG1 mAb conjugated to a potent topoisomerase I inhibitor via a stable cleavable linker. In the Phase 3 TROPION-Lung01 study, Dato-DXd demonstrated a statistically significant improvement in progression-free survival (PFS) over docetaxel in pts with previously treated, locally advanced or metastatic NSCLC (Ahn et al, ESMO 2023). The Phase 1/2, multicenter, open-label, multiple cohort TROPION-PanTumor02 study (NCT05460273) was designed to assess Dato-DXd in Chinese pts with advanced or metastatic solid tumors. Here we present results from the NSCLC cohort. Methods: Chinese pts (aged ≥18 years) with locally advanced or metastatic NSCLC with or without actionable genomic alterations (AGAs), who had been previously treated with immunotherapy and platinum-based chemotherapy (pts without AGAs) or targeted therapy and platinum-based chemotherapy (pts with AGAs), were enrolled. Pts received Dato-DXd (6 mg/kg IV Q3W). The primary endpoint was confirmed objective response rate (ORR) by independent central review (ICR) per RECIST v1.1. Analyses presented are based on the primary analysis data cut-off (DCO; Oct 9, 2023) with 6 months (mos) follow-up post the last pt’s first dose. Results: In the NSCLC cohort, 40 pts from 11 sites in China were enrolled. Median age was 59 years (range 33–74); 29 pts (72.5%) were male, and 18 (45.0%) were current or former smokers. 23 (57.5%)/17 (42.5%) pts had tumors with non-squamous/squamous histology. 5 pts (12.5%) had NSCLC with AGAs; 4 of these pts had sensitizing EGFR mutations. At DCO, 8 pts were ongoing treatment; median study follow-up was 8.1 mos (range 1.1–11.9). Overall, confirmed ORR by ICR was 45.0% (all partial responses), disease control rate by ICR was 85.0%, median duration of confirmed response was 8.3 mos, and median time to onset of response from first dose was 1.4 mos. ORR by ICR was 56.5% (13/23) in the non-squamous subgroup, 29.4% (5/17) in the squamous subgroup, and 75.0% (3/4) in pts with EGFR mutations. Median PFS by ICR (95% CI) was 7.4 mos (5.7–not calculable [NC]) overall, 9.6 mos (7.1–NC) in the non-squamous subgroup, and 5.5 mos (1.4–NC) in the squamous subgroup. Median treatment duration was 5.6 mos (range 0.7–10.6). Treatment-emergent adverse events (TEAEs) occurred in 95.0% of pts; grade ≥3 TEAEs occurred in 57.5%, and there were no fatal TEAEs. The most common TEAEs were nausea (62.5%), stomatitis (57.5%) and anemia (57.5%). TEAEs led to dose reduction/discontinuation in 20.0%/10.0% of pts. No adjudicated drug-related interstitial lung disease was reported. Conclusions: Dato-DXd showed encouraging efficacy in Chinese pts with advanced or metastatic NSCLC; the non-squamous subgroup appeared to derive the most benefit. The efficacy/safety profile was consistent with previous studies, with no new safety signals observed. Clinical trial information: NCT05460273 .

A phase 2 study of EIK1001, a Toll-like receptor 7/8 (TLR7/8) agonist, in combination with pembrolizumab and chemotherapy in patients with stage 4 non-small cell lung cancer.

TPS8667 Background: Immune checkpoint inhibitors (ICIs) relieve immunosuppression of tumor-reactive T cells and enhance antitumor immune response. Significant advances for the treatment of non-small cell lung cancer (NSCLC) have been made using the ICI pembrolizumab in combination with chemotherapy, which confers significant clinical benefit relative to chemotherapy and placebo. Not all patients benefit, however, and some become refractory. As a result, there remains a critical unmet need to develop therapies for the treatment of NSCLC. EIK1001 is a TLR7/8 agonist that stimulates myeloid and plasmacytoid dendritic cells, activating immune and inflammatory responses. This dual activity provides another pathway, distinct from effects on checkpoint proteins, to enhance antitumor T-cell activity alone or in combination with ICIs. Methods: Study EIK1001-005 is a multicenter, Phase 2, open-label study of EIK1001 in combination with pembrolizumab and chemotherapy – carboplatin plus either pemetrexed or paclitaxel – in participants (pts) with histologically confirmed Stage 4 nonsquamous or squamous NSCLC, respectively. This study includes a safety run-in period for pts enrolled in each NSCLC cohort. If &lt; 2 dose-limiting toxicities occur, an expansion phase for each NSCLC cohort will be conducted at the target dose to evaluate the tolerability and efficacy of EIK1001 (QW) in combination with pembrolizumab and chemotherapy (administered Q3W per label). Key eligibility criteria include pts ≥ 18 years of age with a life expectancy of at least 3 months, histologically or cytologically confirmed Stage 4 NSCLC (nonsquamous or squamous) without prior therapy for advanced NSCLC, confirmation that mutation-directed therapy is not indicated as first-line, and at least 1 measurable lesion at Baseline according to RECIST 1.1. The primary objective of this study is to determine the safety and tolerability of EIK1001 in combination with pembrolizumab and chemotherapy. The secondary objectives are evaluation of antitumor activity by objective response rate (ORR; defined as the proportion of pts who have a confirmed complete response [CR] or partial response [PR] per RECIST 1.1) and duration of response (DOR) by RECIST 1.1. Other exploratory objectives include evaluation of anti-tumor activity (ORR/DOR) by immune-related RECIST 1.1, overall survival, progression-free survival, investigation of the relationship between treatment with EIK1001 in combination with pembrolizumab/chemotherapy and biomarkers predictive of response, and the pharmacokinetic parameters of EIK1001. This study opened on 29 Jan 2024. Clinical trial information: NCT06246110 .

Correlation of immune phenotypes derived from H&amp;E-stained whole slide images with prognosis and response to checkpoint inhibitors in NSCLC.

8539 Background: The classification of tumors as inflamed, excluded or desert based on spatial patterns of tumor infiltrating lymphocytes (TILs) is a potential biomarker of patients likely to respond to checkpoint inhibitors (CPI). However, the subjectivity of manual methods to assess these immune phenotypes (IPs) and poor standardization in the methods and thresholds to define IPs have hampered their clinical adoption. Here, we describe a data-driven approach to inform IP threshold selection on hematoxylin and eosin (H&amp;E)-stained whole slide images (WSI) by maximizing differences in overall survival (OS) between IPs. Methods: A model to classify the IPs of NSCLC samples from H&amp;E images was developed using PathExplore models applied to a TCGA non-small cell lung cancer (NSCLC) cohort of LUAD (N=459) and LUSC (N=424). TIL densities were extracted within cancer and stroma for 0.01 mm2 patches tiled across each WSI. Cut-offs to define cancer and stroma patches as hot or cold were defined based on the 75th and 50th percentiles, respectively, of cancer TIL (cTIL) densities (386 cTIL/mm2) and stroma TIL (sTIL) densities (423 sTIL/mm2) in a TCGA cohort of 4,082 H&amp;E-stained WSI from 10 epithelial tumor types. Hierarchical fitting yielded optimal thresholds minimizing the p-values of OS differences between IPs, leading to classifications of inflamed (iIP, &gt;40% cancer hot patches), excluded (eIP, ≤40% cancer hot patches; &gt;45% stromal hot patches) and desert (dIP, ≤40% cancer hot patches; ≤45% stromal hot patches). The model was then deployed in a clinical cohort of PD-(L)1 inhibitor-treated NSCLC patients (N=95) enrolled in the BIP precision medicine study (NCT02534649; Institut Bergonié, Bordeaux, France). Model-predicted IPs were compared to progression-free survival (PFS) and OS. FDR correction was done with Benjamini-Hochberg. Results: In the TCGA NSCLC cohort, model-predicted iIP (N=196) and eIP (N=607) patients had significantly better OS compared to dIP (N=80; HR=0.53, p=0.003 and HR=0.59, p=0.003, respectively). In the clinical cohort, cTIL density and fraction of hot epithelial patches were significantly associated with PFS (HR=0.64, q=0.04 and HR=0.69, q=0.04, respectively). PFS was significantly shorter in model-predicted eIP patients (N=46) compared to iIP (N=39; HR=0.54, p=0.045). Notably, in PD-L1(-) patients (N=43, tumor proportion score ≤1%), iIP patients had longer PFS than eIP and dIP patients (HR=0.35, p=0.02). No difference in PFS was observed for PD-L1(+) patients. Conclusions: We developed a data-driven approach for predicting IPs using patch-level TIL features. Model-predicted IPs were prognostic in a TCGA NSCLC dataset and predictive of PFS in a CPI- treated clinical NSCLC cohort. Association of IP and PFS was independent of PD-L1 status, potentially allowing the identification of PD-L1(-) patients who may derive greater benefit from CPI.

Preliminary results from the phase 2 study of AFM24 in combination with atezolizumab in patients with EGFR wild-type (EGFR-WT) non-small cell lung cancer (NSCLC).

2522 Background: Immunotherapy combinations could be a promising strategy to overcome resistance to existing therapies. AFM24, a first in class, bispecific, tetravalent innate cell engager, binds CD16A on innate effector cells (NK cells and macrophages) and EGFR on solid tumors, redirecting and enhancing the innate and possibly the adaptive immune response towards tumors. Atezolizumab, a PD-L1 inhibitor, abrogates activation of the PD-1 immune checkpoint, potentiating the adaptive immune response. This Phase 1/2a study (NCT05109442) is evaluating if combining AFM24 with atezolizumab synergistically enhances both innate and adaptive immunity to effectively target EGFR+ solid tumors. Here we report initial results of the EGFR-WT NSCLC expansion cohort. Methods: The recommended Phase 2 dose of 480 mg AFM24 is given intravenously (IV) weekly in combination with 840 mg atezolizumab IV fortnightly, in patients with advanced or metastatic EGFR-WT NSCLC who progressed on ≥1 prior line of therapy including at least a platinum doublet and a checkpoint inhibitor (CPI). The primary endpoint is overall response rate by RECIST v1.1 by Investigator assessment. Secondary endpoints include safety, pharmacokinetics, and immunogenicity. Treatment is given in four-week cycles until disease progression, intolerable toxicity, investigator discretion, or patient withdrawal of consent. Tumor assessments are performed at screening, cycles 2, 4, 6, 8, 10, 12; and every three cycles thereafter. Results: As of January 2024, 17 patients in the EGFR-WT NSCLC cohort received AFM24 and atezolizumab for a mean (range) duration of 14.4 (1–33) weeks. Median (range) age is 66 (45–75) years; 82.4% male; European Cooperative Oncology Status Performance Score 0–1; median (range) number of prior lines is 2 (1–5). The combination was well tolerated with no new or unexpected toxicities observed compared to each single agent. The most common AFM24-related adverse events were infusion-related reactions (10 Grade 1–2, two Grade 3). Of the 15 response-evaluable patients, one complete response and three PRs were confirmed; two showed shrinkage of ≥50% in target lesions from baseline. All responders were resistant to prior CPI. Seven patients achieved stable disease as BOR. After a median follow-up time of 5.5 (95% CI 3.45; 5.55) months, 8 patients are still on treatment including all responders. Conclusions: AFM24 with atezolizumab shows remarkable signs of clinical efficacy, even in patients with resistance to prior CPI, and a well-tolerated and manageable safety profile in patients with EGFR-WT NSCLC. The study is ongoing and up to 40 patients will be enrolled into this cohort. Clinical trial information: NCT05109442 .

Impact of timing of immunotherapy in survival among patients with advanced lung adenocarcinoma treated with first-line immunochemotherapy: A propensity score matching.

e20560 Background: Immunochemotherapy combinations have been the mainstream first-line standard treatment of advanced non-small cell lung cancer (NSCLC), wherein concurrent chemotherapy and immunotherapy are conventionally fixed to an established dosing regimen. Few studies had suggested the remarkable impact of the timing of immunotherapy on immunochemotherapy combined therapy. However, this issue has not been addressed in advanced NSCLC cohort. Methods: This study was a retrospective analysis of 532 patients with advanced lung adenocarcinoma (LUAD) without EGFR/ALK mutations who underwent immunochemotherapy as first-line systemic treatment between June 2018 to June 2022 at 3 facilities. Patients were divided into two groups (induced and non-induced) according to the different timing of immunotherapy in combined therapy, which defined induced as receiving 1 or more cycles of full-dose chemotherapy alone before concurrent immunochemotherapy. The bias between induced and non-induced groups was minimized with Propensity Score Matching (PSM). Patients outcomes, including progression-free survival (PFS) and overall survival (OS), were compared between the two groups by Kaplan-Meier survival curves and Cox regression analyses. Results: Survival analysis showed that both PFS and OS of the induced chemotherapy group patients were significantly longer than that of non-induced group (PFS: 14.63 months vs. 10.13 months, p = 0.004; OS: Not reached vs. 20.27 months, p = 0.0013). In the COX regression, after adjusting for confounders, induction chemotherapy was found to be a remarkable favorable factor for both PFS and OS (PFS: HR = 0.73, p= 0.018; OS: HR = 0.69, p= 0.034). After pretreatment features and treatment parameters were included in PSM, 104 patients were identified in each groups with matched characteristics, and moreover, the results of survival analysis remained consistent and showed significant difference between induced and non-induced group (PFS: 14.63 months vs. 10.23 months, p = 0.029; HR = 0.71, p= 0.030. OS: Not reached vs 18.27 months, p = 0.0013; HR = 0.52, p= 0.002). Conclusions: For advanced LUAD patients treated with first-line immunochemotherapy combinations, the timing of immunotherapy had significant impact on prognosis, which suggested notable benefit of induction chemotherapy before concurrent immunochemotherapy.

Association of combination tumor texture and vessel tortuosity with progression free survival across PD-L1 subgroups in durvalumab treated non-small cell lung cancer (NSCLC): Blinded validation results from CP1108.

8600 Background: Immunotherapy (IO) has shown a durable response with minimal toxicity in the treatment of metastatic NSCLC. However, only 30-50% of these patients (pts) actually respond. Despite initial optimism surrounding PD-L1 expression as a potential biomarker, IO provides benefit across PD-L1 low (&lt;25%) and high (≥25%) status. This highlights a critical need for more effective biomarkers to guide treatment decisions. Here, we present blinded validation results of a CT-based biomarker of change in quantitative vessel tortuosity (1) (Δ-QVT) and texture radiomics (2) (Δ-Rad) between baseline (B) and 6 weeks post-treatment (TP1) for predicting response, overall survival (OS) and progression free survival (PFS) in CP1108 (NCT01693562). Methods: CT scans at B and TP1 were retrospectively analyzed from two studies (a) a multi-center training set (Str, N=110) of metastatic NSCLC pts treated with first line IO and (b) a blinded NSCLC cohort of N = 151 pts treated with Durvalumab in CP1108 study (Sv). In Sv, N=75 pts were PD-L1 high (Sv+) whereas N=65 pts were PD-L1 low (Sv-). An in-house MATLAB based algorithm was used to extract intra-tumoral, peri-tumoral texture and QVT features from up to two largest measurable tumors in each CT. A classifier (MCombo) was trained on Str to predict best overall response defined as per the RECIST v1.1 criteria using combination of Δ-QVT and Δ-Rad features. Area under the receiver operating characteristic (AUC) was used to evaluate MCombo against RECIST response whereas univariable and multivariable Cox regression models with log-rank test, hazard ratio (HR) with confidence interval (CI) and concordance index (C-index) were used to study the association of MCombo with OS and PFS in Sv, Sv+, and Sv-. Results: MCombo predicted objective response with an AUC of 0.78 in Sv and was statistically significantly associated with PFS (Table) in Sv, Sv+, and Sv-. MCombo was associated with OS in Sv, Sv+, but not in Sv-. Multivariable analysis with PD-L1 status, histological subtype, ECOG status, liver metastasis, line of therapy and sex showed independent association of MCombo across OS and PFS. Conclusions: Our results indicate that combination of radiomics and vessel tortuosity biomarker from CT is independently prognostic of response and PFS across PD-L1 levels. Prospective validation of this biomarker is needed. 1. Alilou et al. Sci Adv 2022. 2. Khorrami et al. Cancer Immunol Res 2020. [Table: see text]

Dysregulation of peripheral and intratumoral KLRG1+ CD8+T cells is associated with immune evasion in patients with non-small-cell lung cancer

ObjectivesKiller cell lectin like receptor G1 (KLRG1) is identified as a co-inhibitory receptor for NK cells and antigen-experienced T cells. The role of KLRG1 in immune regulation in patients with non-small cell lung cancer (NSCLC) remains poorly understood. Materials and MethodsWe measured the proportion and immune function of KLRG1+CD8+T cells derived from peripheral blood in patients with NSCLC by flow cytometry. Besides, using data from the gene expression profiles and single-cell sequencing, we explored the expression and immune role of KLRG1 in tumor tissues of patients with NSCLC. We further determined the prognostic value of KLRG1 in terms of overall survival (OS) in NSCLC patients. ResultsWe found that the proportion of KLRG1+CD8+T cells in peripheral blood significantly increased in patients with NSCLC as compared to those with benign pulmonary nodules and healthy donors. Peripheral KLRG1+CD8+T cell proportion was increased in elder subjects compared to that in younger ones, implying an immunosenescence phenotype. Moreover, the KLRG1+CD8+T cell levels were positively correlated with tumor size and TNM stage in the NSCLC cohort. In vitro stimulation experiments demonstrated that the KLRG1+CD8+T cells from peripheral blood expressed higher levels of Granzyme B and perforin than the KLRG1−CD8+ T cells. However, single-cell RNA sequencing data revealed that the KLRG1+CD8+ T cells were less infiltrated in tumor microenvironment and exhibited impaired cytotoxicity. The KLRG1 gene expression levels were significantly lower in tumor tissues than that in normal lung tissues, and were inversely correlated with CDH1 expression levels. Moreover, higher expression of CDH1 in tumor tissues predicted worse overall survival only in patients with KLRG1-high expression, but not in the KLRG1-low subset. ConclusionThis study demonstrates that KLRG1+CD8+T cells were associated with tumor immune evasion in NSCLC and suggests KLRG1 as a potential immunotherapy target.

A large-scale, multicenter characterization of BRAF G469V/A-mutant non-small cell lung cancer.

Mutated BRAF is identified in 1%-5% non-small cell lung cancer (NSCLC) patients, with non-V600 mutations accounting for 50%-70% of these. The most common non-V600 mutation is BRAF G469V/A. Currently, there are no targeted therapies available for non-V600 mutated patients. A recent report provided interesting preclinical evidence revealing sensitivity of BRAF G469V to epidermal growth factor receptor (EGFR) inhibitors, raising the possibility of repurposing anti-EGFR agents. It is therefore worthy to characterize the clinical and molecular features of BRAF G469V/A-mutant NSCLC to provide more insights for precision therapy. We conducted a retrospective screening of 25,694 Chinese patients with advanced or metastatic NSCLC to identify individuals with mutated BRAF. Additionally, we performed similar screenings on patients with adenocarcinoma (LUAD) from The Cancer Genome Atlas (TCGA) cohort (n = 567) and the MSKCC cohort (n = 1152). Subsequently, we characterized the clinical and molecular features of the patients carrying BRAF mutations. BRAF G469V was identified in 28 (0.1%) patients from the Chinese NSCLC cohort and 5 (0.9%) from TCGA-LUAD. Notably, none was identified in the MSKCC cohort. G469A was found in 79 (0.3%) Chinese patients, 2 (0.4%) from TCGA-LUAD, and 9 (0.8%) from the MSKCC cohort. Relative allele frequency analysis suggested most BRAF mutations as driven clones. Tumor mutation burden (median 4 mutations/Mb) was not significantly different between patients carrying G469V, G469A, V600E, or other BRAF mutations. Surprisingly, KRAS mutations were found in approximately 50% of patients with G469V mutation and about 8% of patients with G469A mutation, representing a prominent potential resistance mechanism against EGFR inhibitors. Structural modeling suggested BRAF G469V and G469A as binding partners of gefitinib. Our large-scale analysis characterized the prevalence and mutational landscape of BRAF G469V/A-mutant NSCLC and proposed gefitinib as a potential option, providing a basis for further investigations on treating BRAF-mutated NSCLC.

First-line Avelumab plus Chemotherapy in Patients with Advanced Solid Tumors: Results from the Phase Ib/II JAVELIN Chemotherapy Medley Study.

Chemotherapy can potentially enhance the activity of immune checkpoint inhibitors by promoting immune priming. The phase Ib/II JAVELIN Chemotherapy Medley trial (NCT03317496) evaluated first-line avelumab + concurrent chemotherapy in patients with advanced urothelial carcinoma or non-small cell lung cancer (NSCLC). Avelumab 800 or 1,200 mg was administered continuously every 3 weeks with standard doses of cisplatin + gemcitabine in patients with urothelial carcinoma, or carboplatin + pemetrexed in patients with nonsquamous NSCLC. Dual primary endpoints were dose-limiting toxicity (DLT; phase Ib) and confirmed objective response (phase Ib/II). In phase Ib, urothelial carcinoma and NSCLC cohorts received avelumab 800 mg (n = 13 and n = 6, respectively) or 1,200 mg (n = 6 each) + chemotherapy. In evaluable patients with urothelial carcinoma treated with avelumab 800 or 1,200 mg + chemotherapy, DLT occurred in 1/12 (8.3%) and 1/6 (16.7%), respectively; no DLT occurred in the NSCLC cohort. In phase II, 35 additional patients with urothelial carcinoma received avelumab 1,200 mg + chemotherapy. Across all treated patients, safety profiles were similar irrespective of avelumab dose. Objective response rates (95% confidence internal) with avelumab 800 or 1,200 mg + chemotherapy, respectively, across phase Ib/II, were 53.8% (25.1-80.8) and 39.0% (24.2-55.5) in urothelial carcinoma, and 50.0% (11.8-88.2) and 33.3% (4.3-77.7) in NSCLC. Preliminary efficacy and safety findings with avelumab + chemotherapy in urothelial carcinoma and NSCLC were consistent with previous studies of similar combination regimens. Conclusions about clinical activity are limited by small patient numbers. This phase Ib/II trial evaluated avelumab (immune checkpoint inhibitor) administered concurrently with standard first-line chemotherapy in patients with advanced urothelial carcinoma or advanced nonsquamous NSCLC without actionable mutations. Efficacy and safety appeared consistent with previous studies of similar combinations, although patient numbers were small.

Cancer-associated fibroblasts expressing fibroblast activation protein and podoplanin in non-small cell lung cancer predict poor clinical outcome.

Cancer-associated fibroblasts (CAFs) are a dominant cell type in the stroma of non-small cell lung cancer (NSCLC). Fibroblast heterogeneity reflects subpopulations of CAFs, which can influence prognosis and treatment efficacy. We describe the subtypes of CAFs in NSCLC. Primary human NSCLC resections were assessed by flow cytometry and multiplex immunofluorescence for markers of fibroblast activation which allowed identification of CAF subsets. Survival data were analysed for our NSCLC cohort consisting of 163 patients to understand prognostic significance of CAF subsets. We identified five CAF populations, termed CAF S1-S5. CAF-S5 represents a previously undescribed population, and express FAP and PDPN but lack the myofibroblast marker αSMA, whereas CAF-S1 populations express all three. CAF-S5 are spatially further from tumour regions then CAF-S1 and scRNA data demonstrate an inflammatory phenotype. The presence of CAF-S1 or CAF-S5 is correlated to worse survival outcome in NSCLC, despite curative resection, highlighting the prognostic importance of CAF subtypes in NSCLC. TCGA data suggest the predominance of CAF-S5 has a poor prognosis across several cancer types. This study describes the fibroblast heterogeneity in NSCLC and the prognostic importance of the novel CAF-S5 subset where its presence correlates to worse survival outcome.