HLA-I levels correlate with survival outcomes in response to immune checkpoint inhibitors in non-small cell lung cancer.

OBJECTIVES: Immune checkpoint inhibitors (ICIs) have provided a breakthrough in the treatment of non-small cell lung cancer (NSCLC) patients, but only some patients benefit substantively. Identifying definitive predictive biomarkers could overcome this limitation. MATERIALS AND METHODS: We selected 146 metastatic NSCLC patients treated with anti-PD-(L)1. Immunohistochemistry of HLA-I, PD-L1 and CD73 was performed in 122 tumor biopsies at diagnosis. The association with patients, tumor parameters, and the predictive value to ICI treatment were determined. RESULTS: In our cohort, 42 %, 25 %, and 21 % of the tumors exhibited high levels of HLA-I, PD-L1, and CD73, respectively. Lung adenocarcinomas displayed elevated CD73 levels, compared with lung squamous cell carcinomas (P = 0.026). High PD-L1 was significantly correlated with high levels of HLA-I (P = 0.005) and of CD73 (P = 0.025). Patients with high-level HLA-I tumors exhibited more favorable clinical outcomes following ICI, with a median overall survival of 30.7 months (95 % confidence interval [CI]: 18.3 months-not reached), compared with 18.2 months (95 % CI: 12.4-25.2 months) in patients with low-level HLA-I tumors (P = 0.016). The median progression-free survival (PFS) for patients with high-level HLA-I tumors was 18.5 months (95 % CI: 11.1-57.1 months), longer than patients with low-level HLA-I tumors, whose median PFS was 9.2 months (95 % CI: 7.2-11.9 months) (P = 0.006). In a multivariable analysis, high-level HLA-I was independently associated with lower risk of progression to ICI (HR = 0.46, 95 % CI 0.24-0.87; P = 0.018). CONCLUSIONS: High-level HLA-I were associated with better clinical outcomes to ICI in our cohort of NSCLC patients. Therefore, further investigations are warranted to refine this biomarker and validate its efficacy in prospective and larger set of patients.

Eftilagimod alpha (soluble LAG-3 protein) combined with pembrolizumab as second-line therapy for patients with metastatic head and neck squamous cell carcinoma.

PURPOSE: Eftilagimod alpha (efti), a soluble LAG-3 protein, activates antigen-presenting cells (APC) and downstream T-cells. TACTI-002 (Part C) evaluated whether combining efti with pembrolizumab led to strong anti-tumor responses in 2nd line recurrent or metastatic head and neck squamous cell carcinoma (R/M HNSCC) patients, while demonstrating good tolerability. METHODS: In this multinational phase 2 trial using Simon's 2-stage design, R/M HNSCC PD-L(1)-naïve patients who had failed first-line platinum-based therapy, unselected for PD-L1, received intravenous pembrolizumab (200 mg, Q3W) combined with subcutaneous efti (30 mg Q2W for 24 weeks and Q3W thereafter). The primary endpoint was objective response rate (ORR) per iRECIST by investigator assessment. Additional endpoints included duration of response (DoR), progression free survival (PFS), overall survival (OS) and tolerability. Pharmacodynamic effects (absolute lymphocyte count [ALC] and Th1 cytokine biomarkers [IFN-gamma/CXCL-10]) were evaluated in liquid biopsies. RESULTS: Between Mar 2019 - Jan 2021, 39 patients were enrolled; 37 were evaluated for response. All patients received prior chemotherapy and 40.5% were pretreated with cetuximab. 53.1% of patients had PD-L1 CPS <20. With a median follow up of 38.8 months, ORR was 29.7%, including 13.5% complete responders. Median DoR was not reached. Rapid and sustained ALC increase was observed in patients who had an objective response. Th1 biomarkers increased sustainably after first treatment. No unexpected safety signals were observed. CONCLUSION: Efti plus pembrolizumab was safe and showed encouraging antitumor activity and pharmacodynamic effects in 2nd line HNSCC patients, thus supporting further evaluation of this combination in earlier treatment lines.

Advanced non-squamous NSCLC with no actionable oncogenic driver in Spain: a cross-sectional descriptive analysis of data from the Thoracic Tumor Registry.

BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for the vast majority of all diagnosed lung cancers. According to their histology, most NSCLCs are considered non-squamous cell carcinoma (NSCC), and up to 85% of the latter may lack either one of the two main actionable oncogenic drivers (i.e., EGFR mutations and ALK rearrangements). OBJECTIVE: Our analysis aimed to describe the clinical and epidemiological characteristics of Spanish patients suffering from NSCC with no actionable oncogenic driver in daily clinical practice. DESIGN: A retrospective, cross-sectional, descriptive analysis. METHODS: We analyzed the records of all Spanish patients with advanced NSCC diagnosed between January 2011 and January 2020 and included in the Spanish Thoracic Tumor Registry database. We evaluated the presence of metastasis and molecular profiling at the time of diagnosis and treatments received. We also assessed overall survival (OS) and progression-free survival (PFS) according to first-line treatment. RESULTS: One thousand seven hundred ninety-seven Spanish patients with NSCC were included. They were mainly men (73.2%), smokers (current [44.4%] and former [44.4%]) and presented adenocarcinoma histology (97.6%). Most patients had at least one comorbidity (80.4%) and one metastatic site (96.8%), and a non-negligible number of those tested were PD-L1 positive (35.2%). Notably, the presence of liver metastasis indicated a shorter median OS and PFS than metastasis in other locations (p < 0.001). Chemotherapy was more often prescribed than immunotherapy as first-, second-, and third-line treatment in that period. In first-line, the OS rates were similar in patients receiving either regimen, but PFS rates significantly better in patients treated with immunotherapy (p = 0.026). Also, a high number of patients did not reach second- and third-line treatment, suggesting the failure of current early diagnostic measures and therapies. CONCLUSIONS: This analysis of the most lethal tumor in Spain could highlight the strengths and the weaknesses of its clinical management and set the ground for further advances and research.

Avelumab in Combination With Lorlatinib or Crizotinib in Patients With Previously Treated Advanced NSCLC: Phase 1b/2 Results From the JAVELIN Lung 101 Trial.

Introduction: The JAVELIN Lung 101 phase 1b/2 trial evaluated avelumab (immune checkpoint inhibitor) combined with lorlatinib or crizotinib (tyrosine kinase inhibitors) in ALK-positive or ALK-negative advanced NSCLC, respectively. Methods: Starting doses of lorlatinib 100 mg once daily or crizotinib 250 mg twice daily were administered with avelumab 10 mg/kg every 2 weeks. Primary objectives were assessment of maximum tolerated dose (MTD) and recommended phase 2 dose in phase 1 and objective response rate in phase 2. Primary end points were dose-limiting toxicity (DLT) and confirmed objective response per Response Evaluation Criteria in Solid Tumors, version 1.1. Results: In the avelumab plus lorlatinib group (ALK-positive; n = 31; 28 in phase 1b; three in phase 2), two of 28 assessable patients (7%) had DLT, and the MTD and recommended phase 2 dose was avelumab 10 mg/kg every 2 weeks plus lorlatinib 100 mg once daily. In the avelumab plus crizotinib group (ALK-negative; n = 12; all phase 1b), five of 12 assessable patients (42%) had DLT, and the MTD was exceeded with avelumab 10 mg/kg every 2 weeks plus crizotinib 250 mg twice daily; alternative crizotinib doses were not assessed. Objective response rate was 52% (95% confidence interval, 33%-70%) with avelumab plus lorlatinib (complete response, 3%; partial response, 48%) and 25% (95% confidence interval, 6%-57%) with avelumab plus crizotinib (all partial responses). Conclusions: Avelumab plus lorlatinib treatment in ALK-positive NSCLC was feasible, but avelumab plus crizotinib treatment in ALK-negative NSCLC could not be administered at the doses tested. No evidence of increased antitumor activity was observed in either group. ClinicalTrialsgov identifier: NCT02584634.

Family history of cancer and lung cancer: Utility of big data and artificial intelligence for exploring the role of genetic risk.

OBJECTIVES: Lung Cancer (LC) is a multifactorial disease for which the role of genetic susceptibility has become increasingly relevant. Our aim was to use artificial intelligence (AI) to analyze differences between patients with LC based on family history of cancer (FHC). MATERIALS AND METHODS: From August 2016 to June 2020 clinical information was obtained from Thoracic Tumors Registry (TTR), a nationwide database sponsored by the Spanish Lung Cancer Group. In addition to descriptive statistical analysis, an AI-assisted analysis was performed. The German Technical Information Library supported the merging of data from the electronic medical records and database of the TTR. The results of the AI-assisted analysis were reported using Knowledge Graph, Unified Schema and descriptive and predictive analyses. RESULTS: Analyses were performed in two phases: first, conventional statistical analysis including 11,684 patients of those 5,806 had FHC. Median overall survival (OS) for the global population was 23 months (CI 95 %: 21.39-24.61) in patients with FHC versus 21 months (CI 95 %: 19.53-22.48) in patients without FHC (NFHC), p < 0.001. The second AI-assisted analysis included 5,788 patients of those 939 had FHC. 58.48 % of women with FHC had LC. 9.53 % of patients had an EGFR or HER2 mutation or ALK translocation and at least one relative with cancer. A family history of LC was associated with an increased risk of smoking-related LC. Non-smokers with a family history of LC were more likely to have an EGFR mutation in NSCLC. In Bayesian network analysis, 55 % of patients with a family history of LC and never-smokers had an EGFR mutation. CONCLUSION: In our population, the incidence of LC in patients with a FHC is higher in women and younger patients. FHC is a risk factor and predictor of LC development, especially in people ≤ 50 years. These results were confirmed by conventional statistics and AI-assisted analysis.

Analysis of Diagnostic Delay and its Impact on Lung Cancer Survival: Results From the Spanish Thoracic Tumor Registry.

BACKGROUND: Early detection is crucial to improve lung cancer survival rates. Delays in diagnosis might negatively impact the prognosis of the disease. This study aims to analyze the diagnostic delay in lung cancer patients and describe if there is an association between delay and survival. METHODS: The data source used was the Thoracic Tumor Registry of the Spanish Lung Cancer Group. This analysis was restricted to lung cancer cases with information on the first date of consultation by symptoms and date of diagnosis. The delay was calculated as the number of days between the two dates. A descriptive analysis was performed, and ordinal logistic regressions were fitted with delay as the dependent variable. Kaplan-Meier survival analysis and Cox regression were performed. RESULTS: 22,755 lung cancer cases were included. Never smokers were 1.16 (95%CI: 1.06-1.27) times more likely to register longer delay than smokers. Stage 0-I-II cases had a 3.09 (95%CI: 2.88-3.32) higher risk of longer delay compared to III-IV stages. Overall, 5-year survival rate after diagnosis was 23.64% (95%CI: 22.88-24.41). In those categorized as having the shortest delay 5-year survival was 17.67% (95%CI: 16.31-19.07) and in the extreme delay it was 32.98% (95%CI: 31.28-34.69) (p<0.001). Adjusted mortality risk was higher in those with the shortest delay (HR 1.36, CI95%: 1.30-1.43) in comparison with the extreme delay. CONCLUSIONS: Diagnostic delay is short among Spanish lung cancer patients, indicating a relatively quick diagnostic process. Extreme delays appear to be associated with higher survival rates, possibly attributed to slow-growing tumors, earlier stage at diagnosis or basically the natural history of this disease.

Describing differences among populations of thoracic tumors patients under and over 80 years: Data analysis from the SLCG thoracic tumor registry.

OBJECTIVES: Cancer is a disease of old age; however, most studies usually included minority of patients fit elderly. The purpose is to investigate the clinical characteristics and genetic information of patients with thoracic tumors who are 80 years old or older compared to those under 80 years old. STUDY DESIGN AND METHODS: The Thoracic Tumor Registry (TTR) is a Spanish observational, prospective cohort study that included patients diagnosed with thoracic tumors. Data were collected from medical records related to sociodemographic, epidemiological, clinical, molecular/genetic, and treatment outcome variables. RESULTS: The total number of patients, recruited from August 2016 to April 2023, was 26.193 (93,1 % were younger than 80 years and 6,9 % were 80 years or older). In the group of older patients: the male ratio increased (72,9 % vs. 80 %); the number of elderly people who had never smoked or were ex-smokers increased (9,9 % vs. 21,1 % and 44,8 % vs. 61,3 %, respectively) and the number of current smokers decreased (43,3 % vs. 17,5 %); had higher ECOG performance status at diagnosis (for ECOG ≥ 2, 15 % vs. 32,9 %), and there were more patients with previous cancer (17,3 % vs. 28 %). The proportion of men is higher than that of women (73 % vs. 27 % in <80 years and 80 % vs. 20 % in ≥80 years). For all biomarkers, the proportion of patients who had a molecular determination was lower in older patients. There were no differences in terms of alterations in the biomarkers tested; except for EGFR, for which the positivity rate was higher in patients aged 80 years and older (25 % vs. 15,3 %). CONCLUSION: The proportion of older patients with targeted mutations is higher. So, at least at diagnosis, it should be proceeded in a standard way. Then, when it comes to treatment, comorbidities and patient's baseline situation should be considered. CLINICAL TRIAL REGISTRATION: NCT02941458.

Comparison of Clinical and Genetic Characteristics Between Younger and Older Lung Cancer Patients.

INTRODUCTION: The aim of this study was to analyze the clinical and genetic characteristics of young lung cancer cases, and to compare them with those of older cases. METHODS: We used the Thoracic Tumors Registry (TTR) as a data source representative of lung cancer cases diagnosed in Spain, and included all cases registered until 9/01/2023 which had information on age at diagnosis or the data needed to calculate it. We performed a descriptive statistical analysis and fitted logistic regressions to analyze how different characteristics influenced being a younger lung cancer patient. RESULTS: A total of 26,336 subjects were included. Lung cancer cases <50 years old had a higher probability of being women (OR: 1.38; 95% CI: 1.21-1.57), being in stage III or IV (OR: 1.32; 95% CI: 1.08-1.62), not having comorbidities (OR: 5.21; 95% CI: 4.59-5.91), presenting with symptoms at diagnosis (OR: 1.53; 95% CI: 1.29-1.81), and having ALK translocation (OR: 7.61; 95% CI: 1.25-46.32) and HER2 mutation (OR: 5.71; 95% CI: 1.34-24.33), compared with subjects ≥50 years. Among subjects <35 years old (n=61), our study observed a higher proportion of women (59.0% vs. 26.6%; p<0.001), never smokers (45.8% vs. 10.3%; p<0.001), no comorbidities (21.3% vs. 74.0%; p<0.001); ALK translocation (33.3% vs. 4.4%; p<0.001) and ROS1 mutation (14.3% vs. 2.3%; p=0.01), compared with subjects ≥35 years. CONCLUSIONS: Lung cancer displays differences by age at diagnosis which may have important implications for its clinical management.

Sotorasib (960 mg or 240 mg) once daily in patients with previously treated KRAS G12C-mutated advanced NSCLC.

BACKGROUND: Sotorasib 960 mg once daily is approved to treat KRAS G12C-mutated locally advanced or metastatic non-small cell lung cancer (NSCLC). Sotorasib exhibits non-dose proportional pharmacokinetics and clinical responses at lower doses; therefore, we evaluated the efficacy and safety of sotorasib 960 mg and 240 mg. METHODS: In this phase 2, randomized, open-label study, adults with KRAS G12C-mutated advanced NSCLC received sotorasib 960 mg or 240 mg once daily. Primary endpoints were objective response rate (ORR) and safety. Secondary endpoints included disease control rate (DCR), progression-free survival (PFS), overall survival (OS), and pharmacokinetics. The study was not powered for formal statistical hypothesis testing. RESULTS: In the 960 mg group (n = 104), ORR was 32.7 % and DCR was 86.5 %. In the 240 mg group (n = 105), ORR was 24.8 % and DCR was 81.9 %. Median PFS was 5.4 months (960 mg) and 5.6 months (240 mg). At a median follow-up of 17.5 months, median OS was 13.0 months (960 mg) and 11.7 months (240 mg). AUC0-24 h and Cmax were 1.3-fold numerically higher with the 960 mg dose. Treatment-emergent adverse events (TEAEs, ≥10 %) for 960 mg and 240 mg doses, respectively, were diarrhea (39.4 %; 31.7 %), nausea (23.1 %; 19.2 %), increased alanine aminotransaminase (14.4 %; 17.3 %), and increased aspartate aminotransferase (13.5 %; 13.5 %). CONCLUSIONS: Patients treated with sotorasib 960 mg once daily had numerically higher ORR and DCR, and longer DOR and OS, than patients treated with 240 mg in this descriptive analysis. TEAEs were manageable with label-directed dose modifications. CLINICAL TRIAL REGISTRATION: NCT03600883.

Spatially Preserved Multi-Region Transcriptomic Subtyping and Biomarkers of Chemoimmunotherapy Outcome in Extensive-Stage Small Cell Lung Cancer.

PURPOSE: Transcriptomic subtyping holds promise for personalized therapy in extensive-stage small cell lung cancer (ES-SCLC). In this study, we aimed to assess intratumoral transcriptomic subtype diversity and to identify biomarkers of long-term chemoimmunotherapy benefit in human ES-SCLC. EXPERIMENTAL DESIGN: We analyzed tumor samples from 58 patients with ES-SCLC enrolled in two multicenter single-arm phase IIIb studies evaluating frontline chemoimmunotherapy in Spain: n = 32 from the IMfirst trial and n = 26 from the CANTABRICO trial. We used the GeoMx Digital Spatial Profiler system to perform multi-region transcriptomic analysis. For subtype classification, we performed hierarchical clustering using the relative expression of ASCL1 (SCLC-A), NEUROD1 (SCLC-N), POU2F3 (SCLC-P), and YAP1 (SCLC-Y). RESULTS: Subtype distribution was found to be similar between bothcohorts, except for SCLC-P, which was not identified in the CANTABRICO_DSP cohort. A total of 44% of the patients in both cohorts had tumors with multiple coexisting transcriptional subtypes. Transcriptional subtypes or subtype heterogeneity was not associated with outcomes. Most potential targets did not show subtype-specific expression. Consistently in both cohorts, tumors from patients with long-term benefit (time to progression ≥12 months) contained an IFNγ-dominated mRNA profile, including enhanced capacity for antigen presentation. Hypoxia and glycolytic pathways were associated with resistance to chemoimmunotherapy. CONCLUSIONS: This work suggests that intratumoral heterogeneity, inconsistent association with outcome, and unclear subtype-specific target expression might be significant challenges for subtype-based precision oncology in SCLC. Preexisting IFNγ-driven immunity and mitochondrial metabolism seem to be correlates of long-term efficacy in this study, although the absence of a chemotherapy control arm precludes concluding that these are predictive features specific for immunotherapy.

Is oligoprogression a potentially curable disease in epidermal growth factor receptor mutant lung adenocarcinoma?

Third-generation epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) have shown impressive results in EGFR mutant lung cancer (LC) patients in terms of disease control rate with a positive impact on overall survival. Nevertheless, after months of treatment with targeted therapy, progression inevitably occurs. Some patients develop oligoprogression and local treatment is required for optimal disease control while maintaining EGFR-TKIs. This work features a clinical case of a patient harboring an EGFR mutant LC undergoing oligoprogression to EGFR-TKIs, first into the brain and afterward to the primary tumor, requiring local ablative strategies, including primary tumor resection three years after the start of osimertinib. Currently, the patient is still alive and continues with a complete response upon EGFR-TKIs maintenance. Hence, oligoprogression, even in driven oncogenic tumors, represents a distinct biological entity and potential curative disease that deserves particular consideration in multidisciplinary tumor boards. In this case, tumor primary resection after three years of the initial diagnosis represents a paradigm shift in the treatment of EGFR mutant patients.