Checkpoint Inhibitor Treatment Research Articles

The Impact of Immune Checkpoint Inhibitors-Induced Skin Toxicity on Patients Quality of Life and the Role of Dermatologic Intervention.

Data regarding quality of life (QoL) of oncologic patients experiencing dermatologic immune-related adverse events (dirAEs) and their course after dermatologic intervention are scarce. To assess the impact of dirAEs on patients QoL and to investigate the correlation between dermatologic and oncologic indexes used for estimating QoL. We enrolled oncologic patients with dirAEs managed in two supportive onco-dermatology outpatient clinics in Greece. Patient-reported outcomes included DLQI, EORTC-QLQ-C30 and Numerical Rating Scale for pruritus (pNRS). Overall, 110 patients were enrolled in the study. Mean (standard deviation) DLQI and pNRS scores were 15.54 (5.44) and 7.25 (2.95), correspondingly, while functional, symptom and summary scores of EORTC-C30 were 79.17 (2.11), 17.66 (3.60) and 80.67 (3.08), respectively. After therapeutic interventions, there was a statistically significant decrease in DLQI scores after first intervention compared to baseline, and second intervention compared to first (mean decrease 4.38 (2.91), P < 0.001 and 5.16 (3.99), P < 0.001, respectively). DLQI showed no correlation with global health status/QoLs (rho 0.01, P = 0.90) of EORTC-C30. DirAEs negatively affect QoL. Dermatologic intervention improves patients QoL, facilitating an unimpaired oncologic treatment. Poor correlation between DLQI and EORTC-QLQ-30 highlights the need for adapted QoL measurement tools in the context of immune checkpoint inhibitors treatment.

Performance assessment of computational tools to detect microsatellite instability.

Microsatellite instability (MSI) is a phenomenon seen in several cancer types, which can be used as a biomarker to help guide immune checkpoint inhibitor treatment. To facilitate this, researchers have developed computational tools to categorize samples as having high microsatellite instability, or as being microsatellite stable using next-generation sequencing data. Most of these tools were published with unclear scope and usage, and they have yet to be independently benchmarked. To address these issues, we assessed the performance of eight leading MSI tools across several unique datasets that encompass a wide variety of sequencing methods. While we were able to replicate the original findings of each tool on whole exome sequencing data, most tools had worse receiver operating characteristic and precision-recall area under the curve values on whole genome sequencing data. We also found that they lacked agreement with one another and with commercial MSI software on gene panel data, and that optimal threshold cut-offs vary by sequencing type. Lastly, we tested tools made specifically for RNA sequencing data and found they were outperformed by tools designed for use with DNA sequencing data. Out of all, two tools (MSIsensor2, MANTIS) performed well across nearly all datasets, but when all datasets were combined, their precision decreased. Our results caution that MSI tools can have much lower performance on datasets other than those on which they were originally evaluated, and in the case of RNA sequencing tools, can even perform poorly on the type of data for which they were created.

Adjuvant Therapy with Immune Checkpoint Inhibitors after Carbon Ion Radiotherapy for Mucosal Melanoma of the Head and Neck: A Case-Control Study.

The development of new treatment strategies to improve the prognosis of mucosal malignant melanoma of the head and neck (MMHN) after carbon ion radiotherapy (CIRT) is essential because of the risk of distant metastases. Therefore, our objective was to evaluate the outcomes of immune checkpoint inhibitor (ICI) treatment to justify its inclusion in the regimen after CIRT. Thirty-four patients who received CIRT as an initial treatment were included in the analysis and stratified into three groups: those who did not receive ICIs (Group A), those who received ICIs after recurrence or metastasis (Group B), and those who received ICIs as adjuvant therapy after CIRT (Group C). In total, 62% of the patients (n = 21) received ICIs. The 2-year local control and overall survival (OS) rates for all patients were 90.0% and 66.8%, respectively. The 2-year OS rates for patients in Groups A, B, and C were 50.8%, 66.7%, and 100%, respectively. No significant differences were observed between Groups A and B (p = 0.192) and Groups B and C (p = 0.112). However, a significant difference was confirmed between Groups A and C (p = 0.017). Adjuvant therapy following CIRT for MMHN may be a promising treatment modality that can extend patient survival.

Baseline Blood CD8+ T Cell Activation Potency Discriminates Responders from Non-Responders to Immune Checkpoint Inhibition Combined with Stereotactic Radiotherapy in Non-Small-Cell Lung Cancer.

Tumor-infiltrating immune cells have been correlated with prognosis for patients treated with immune checkpoint inhibitor (ICI) treatment of various cancers. However, no robust biomarker has been described to predict treatment response yet. We hypothesized that the activation potency of circulating T cells may predict response to ICI treatment. An exploratory analysis was conducted to investigate the association between the response to immune checkpoint inhibition (ICI) combined with stereotactic radiotherapy (SBRT) and the potency of circulating T cells to be activated. Blood-derived lymphocytes from 14 patients were stimulated ex vivo with, among others, Staphylococcal enterotoxin B (SEB) and compared to healthy controls (HCs). Patients were grouped into responders (>median progression free survival (PFS)) and non-responders (<median PFS). The expression of the T cell activation marker CD69 and intracellular cytokines (IL-2, IFNγ, TNFα) in both CD4+ and CD8+ T cells in response to stimulation was measured using flow cytometry. In addition, serum levels of BAFF, IFNγ, and IL-2 receptor (sIL-2R) were measured by Luminex. At baseline, a higher percentage of activated CD8+ T cells (15.8% vs. 3.5% (p = <0.01)) and IL-2+CD69+CD8+ T cells (8.8% vs. 2.9% (p = 0.02)) was observed in responders compared to non-responders upon ex vivo stimulation with SEB. The concurrently measured serum cytokine levels were not different between responders and non-responders. Baseline blood CD8+ T cell activation potency, measured by intracellular cytokine production after ex vivo stimulation, is a potential biomarker to discriminate responders from non-responders to SBRT combined with ICI.

The association of nutritional and inflammatory biomarkers with overall survival in patients with non-small-cell lung cancer treated with immune checkpoint inhibitors.

Pretreatment biomarkers are needed to identify patients with non-small-cell lung cancer (NSCLC) likely to have worse survival. This ensures that only patients with a real chance of benefit receive immune checkpoint inhibitor (ICI) treatment. In this study, we examined the associations of baseline nutritional and inflammatory biomarkers with overall survival in a real-world cohort of NSCLC patients who received ICIs. We used prospectively collected data from the OncoLifeS data biobank. The cohort included 500 advanced-stage NSCLC patients treated with ICIs from May 2015 to June 2021. Biomarkers were evaluated within 2 weeks before ICI treatment: neutrophil-to-lymphocyte ratio, C-reactive protein (CRP), Glasgow prognostic score, CRP/albumin ratio (CAR), prognostic nutritional index (PNI), and advanced lung cancer inflammation index. For each biomarker, low- and high-risk groups were defined using literature-based cut-offs. Adjusted hazard ratios (aHRs) and 95% confidence intervals (95% CIs) were estimated using adjusted survival analysis. Most patients were male (60.8%), the mean baseline age was 65 ± 9 years, and 88% had stage IV disease. For each biomarker, low-risk patients had better overall survival (all, p < 0.001), with CAR and PNI showing the strongest associations. In multivariable analyses a combined CAR/PNI risk score had a stronger association with overall survival (aHR 3.09, 95% CI 2.36-4.06) than CAR alone (aHR 2.22, 95% CI 1.79-2.76) or PNI alone (aHR 2.09, 95% CI 1.66-2.61). These results highlight the potential value of nutritional and inflammatory biomarkers, in particular CAR and PNI, in identifying NSCLC patients with highest mortality risk before starting ICI treatment.

Plasma metabolomics of immune-related adverse events for patients with lung cancer treated with PD-1/PD-L1 inhibitors

BackgroundMetabolomics has the characteristics of terminal effects and reflects the physiological state of biological diseases more directly. Several current biomarkers of multiple omics were revealed to be associated with immune-related...

Evolution of liver function during immune checkpoint inhibitor treatment for hepatocellular carcinoma.

Deterioration of liver function is a leading cause of death in patients with advanced hepatocellular carcinoma (HCC). We evaluated the impact of immune checkpoint inhibitor (ICI)-treatment on liver function and outcomes. HCC patients receiving ICIs or sorafenib between 04/2003 and 05/2024 were included. Liver function (assessed by Child-Pugh score [CPS]) was evaluated at the start of ICI-treatment (baseline, BL) and 3 and 6months thereafter. A ≥1 point change in CPS was defined as deterioration (-) or improvement (+), while equal CPS points were defined as stable (=). Overall, 182 ICI-treated patients (66.8±11.8years; cirrhosis: n=134, 74%) were included. At BL, median CPS was 5 (IQR: 5-6; CPS-A: 147, 81%). After 3months, liver function improved/stabilized in 102 (56%) and deteriorated in 61 (34%) patients, while 19 (10%) patients deceased/had missing follow-up (d/noFU). Comparable results were observed at 6months (+/=: n=82, 45%; -: n=55, 30%; d/noFU: n=45, 25%). In contrast, 54 (34%) and 33 (21%) out of 160 sorafenib patients achieved improvement/stabilization at 3 and 6months, respectively. Radiological response was linked to CPS improvement/stabilization at 6months (responders vs. non-responders, 73% vs. 50%; p=0.007). CPS improvement/stabilization at 6months was associated with better overall survival following landmark analysis (6months: +/=: 28.4 [95% CI: 18.7-38.1] versus -: 14.2 [95% CI: 10.3-18.2] months; p<0.001). Of 35 ICI-patients with CPS-B at BL, improvement/stabilization occurred in 16 (46%) patients, while 19 (54%) patients deteriorated/d/noFU at 3months. Comparable results were observed at 6months (CPS +/=: 14, 40%, -: 8, 23%). Importantly, 6/35 (17%) and 9/35 (26%) patients improved from CPS-B to CPS-A at 3 and 6months. Radiological response to ICI-treatment was associated with stabilization or improvement in liver function, which correlated with improved survival, even in patients with Child-Pugh class B at baseline.

Enhancing Immunotherapy Response Prediction in Metastatic Lung Adenocarcinoma: Leveraging Shallow and Deep Learning with CT-Based Radiomics across Single and Multiple Tumor Sites.

This study aimed to evaluate the potential of pre-treatment CT-based radiomics features (RFs) derived from single and multiple tumor sites, and state-of-the-art machine-learning survival algorithms, in predicting progression-free survival (PFS) for patients with metastatic lung adenocarcinoma (MLUAD) receiving first-line treatment including immune checkpoint inhibitors (CPIs). To do so, all adults with newly diagnosed MLUAD, pre-treatment contrast-enhanced CT scan, and performance status ≤ 2 who were treated at our cancer center with first-line CPI between November 2016 and November 2022 were included. RFs were extracted from all measurable lesions with a volume ≥ 1 cm3 on the CT scan. To capture intra- and inter-tumor heterogeneity, RFs from the largest tumor of each patient, as well as lowest, highest, and average RF values over all lesions per patient were collected. Intra-patient inter-tumor heterogeneity metrics were calculated to measure the similarity between each patient lesions. After filtering predictors with univariable Cox p < 0.100 and analyzing their correlations, five survival machine-learning algorithms (stepwise Cox regression [SCR], LASSO Cox regression, random survival forests, gradient boosted machine [GBM], and deep learning [Deepsurv]) were trained in 100-times repeated 5-fold cross-validation (rCV) to predict PFS on three inputs: (i) clinicopathological variables, (ii) all radiomics-based and clinicopathological (full input), and (iii) uncorrelated radiomics-based and clinicopathological variables (uncorrelated input). The Models' performances were evaluated using the concordance index (c-index). Overall, 140 patients were included (median age: 62.5 years, 36.4% women). In rCV, the highest c-index was reached with Deepsurv (c-index = 0.631, 95%CI = 0.625-0.647), followed by GBM (c-index = 0.603, 95%CI = 0.557-0.646), significantly outperforming standard SCR whatever its input (c-index range: 0.560-0.570, all p < 0.0001). Thus, single- and multi-site pre-treatment radiomics data provide valuable prognostic information for predicting PFS in MLUAD patients undergoing first-line CPI treatment when analyzed with advanced machine-learning survival algorithms.

MOG Antibody-Associated Disease in the Setting of Metastatic Melanoma Complicated by Immune Checkpoint Inhibitor Use.

Myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) is an autoimmune demyelinating disease rarely associated with malignancy. We report the clinical, MRI, immunopathology, and treatment response in a person with MOGAD and melanoma. This is a case report of a person with a multidisciplinary evaluation at a tertiary referral center. A 52-year-old man presented with progressive encephalomyelitis that led to identification of metastatic melanoma. Investigations revealed positive MOG-IgG at high titers in serum (1:1,000; normal, <1:20) and CSF (1:4,096; normal, <1:2). MRI demonstrated multifocal T2 lesions with enhancement in the brain and spine. Brain biopsy showed demyelination and inflammation. MOG immunostaining was not present in the tumor tissue. He initially improved with methylprednisolone, plasmapheresis, prolonged oral steroid taper, and cancer-directed treatment with BRAF and MEK 1/2 inhibitors, but then developed bilateral optic neuritis. IV immunoglobulin (IVIG) was initiated. Five months later, he developed metastases and immune checkpoint inhibitor (ICI) treatment was started, which precipitated optic neuritis and myelitis despite IVIG and prednisone. Tocilizumab, an interleukin-6 receptor blocker, was started with excellent and sustained clinical and radiologic response. This case revealed a presentation of MOGAD concurrent with melanoma without tumor MOG immunostaining. We highlight tocilizumab as a dual-purpose treatment of MOGAD and the neurologic immune-related adverse effect of ICI.

The Complex Tumor Microenvironment in Ovarian Cancer: Therapeutic Challenges and Opportunities.

The tumor microenvironment (TME) in ovarian cancer (OC) has much greater complexity than previously understood. In response to aggressive pro-angiogenic stimulus, blood vessels form rapidly and are dysfunctional, resulting in poor perfusion, tissue hypoxia, and leakiness, which leads to increased interstitial fluid pressure (IFP). Decreased perfusion and high IFP significantly inhibit the uptake of therapies into the tumor. Within the TME, there are numerous inhibitor cells, such as myeloid-derived suppressor cells (MDSCs), tumor association macrophages (TAMs), regulatory T cells (Tregs), and cancer-associated fibroblasts (CAFs) that secrete high numbers of immunosuppressive cytokines. This immunosuppressive environment is thought to contribute to the lack of success of immunotherapies such as immune checkpoint inhibitor (ICI) treatment. This review discusses the components of the TME in OC, how these characteristics impede therapeutic efficacy, and some strategies to alleviate this inhibition.

Heterogeneity of lymphocyte subsets in predicting immune checkpoint inhibitor treatment response in advanced lung cancer: an analysis across different pathological types, therapeutic drugs, and age groups.

Immune checkpoint inhibitor (ICI) has become pivotal in the treatment of advanced lung cancer, yet the absence of reliable biomarkers for assessing treatment response poses a significant challenge. This study aims to explore the predictive value of various lymphocyte subsets in different lung cancer subtypes, thus potentially identifying novel biomarkers to improve ICI treatment stratification and outcomes. We conducted a retrospective analysis of 146 stage III or IV lung cancer patients undergoing ICI treatment. The study focused on exploring the relationship between various lymphocyte subsets and the efficacy of ICIs, aiming to determine their predictive value for post-treatment outcomes. Subgroup analysis revealed a positive correlation (P=0.01) between lower CD3+CD8+ T lymphocyte levels and treatment response in squamous cell carcinoma patients. However, no significance was observed in lung adenocarcinoma patients. Additionally, the predictive ability of lymphocyte subsets for different immunotherapy drugs varies. In individuals receiving anti-programmed cell death ligand 1 (PD-L1) treatment, a lower CD3+CD8+ T lymphocyte levels is significantly associated with a positive treatment outcome (P=0.002), while there is no difference for programmed death 1 (PD-1) drugs. Among patients under 60, higher expression of CD3+CD4+ T lymphocytes (P=0.03) combined with lower CD3+CD8+ T lymphocyte levels (P=0.006) showed a statistically significant association with improved treatment response. However, in patients aged over 60, no discernible correlation was ascertained between lymphocyte subsets and therapeutic response. Through prognostic analysis, two distinct lymphocyte subsets were identified, both exerting considerable impact on progression-free survival subsequent to ICIs treatment: CD3+CD4+ T lymphocytes [hazard ratio (HR) =0.50, P=0.006] and CD3+CD8+ T lymphocytes (HR =1.78, P=0.02). Our findings underscore the significant heterogeneity in the predictive value of distinct lymphocyte subsets for lung cancer patients undergoing ICI treatment. These findings are particularly salient when considering various pathological types, immunotherapeutic agents, and patient age groups.

Primary Tumor Characteristics as Biomarkers of Immunotherapy Response in Advanced Melanoma: A Retrospective Cohort Study.

Identifying patients likely to benefit from immune checkpoint inhibitor (ICI) treatment remains a crucial goal for melanoma. The objective of this study is to assess the association between primary tumor features and immunotherapy response and survival in advanced melanoma patients. In this single-center retrospective cohort study, disease characteristics, response to immunotherapy, PFS, and OS were assessed among melanoma patients (excluding mucosal and uveal primaries) treated with ICI. Among 447 patients, 300 (67.1%) received anti-PD-1 monotherapy and 147 (32.9%) received ipilimumab/nivolumab. A total of 338 (75.6%) had cutaneous melanoma, 29 (6.5%) had acral melanoma, and 80 (17.9%) had melanoma of unknown primary. Ulceration and stage at initial presentation were associated with inferior outcomes on univariate analysis. However, on multivariate analysis, this result was not observed, but cutaneous melanoma and each of its subtypes (superficial spreading, nodular, other, unknown) were positively associated with response, longer PFS, and longer OS. Metastatic stage (M1c, M1d) at presentation (OR = 1.8, p < 0.05) and BRAFV600E mutation status (OR = 1.6, p < 0.001) were associated with shorter PFS. This study is limited by its retrospective and single-center design. Cutaneous melanoma and its subtypes were significantly associated with response, PFS, and OS compared with acral or unknown primary melanoma.

The Role of Aging and Senescence in Immune Checkpoint Inhibitor Response and Toxicity.

Cellular senescence accumulates with age and has been shown to impact numerous physiological and pathological processes, including immune function. The role of cellular senescence in cancer is multifaceted, but the impact on immune checkpoint inhibitor response and toxicity has not been fully evaluated. In this review, we evaluate the impact of cellular senescence in various biological compartments, including the tumor, the tumor microenvironment, and the immune system, on immune checkpoint inhibitor efficacy and toxicity. We provide an overview of the impact of cellular senescence in normal and pathological contexts and examine recent studies that have connected aging and cellular senescence to immune checkpoint inhibitor treatment in both the pre-clinical and clinical contexts. Overall, senescence plays a multi-faceted, context-specific role and has been shown to modulate immune-related adverse event incidence as well as immune checkpoint inhibitor response.

Combination therapy with immune checkpoint inhibitors and denosumab improves clinical outcomes in non-small cell lung cancer with bone metastases

BackgroundThe concomitant use of denosumab and immune checkpoint inhibitor (ICI) treatment may have synergistic effects and enhance antitumor activity; however, this has not been fully evaluated. This study aimed to evaluate the clinical outcomes of non-small cell lung cancer (NSCLC) patients with bone metastases receiving combination therapy and to identify the best combination regimen. MethodsEighty-six NSCLC patients with bone metastases who received ICI treatment were enrolled in this study. The patients were divided into two groups; a denosumab combination group (D + ICI group; n = 47) and a non-combination group (non-D + ICI group; n = 39). The response rate (RR) for bone metastases, disease control rate (DCR), overall survival (OS), real world progression-free survival (rwPFS), and the incidence of immune-related adverse events (irAEs) were evaluated. Additionally, the time when denosumab treatment should commence and concomitant treatment duration were evaluated. ResultsThe D + ICI group showed significantly better RR (40.4 % vs. 20.5 %, p = 0.01), DCR (67.3 % vs. 38.7 %, p = 0.02), OS (14.2 vs. 8.6 months, p = 0.02), and rwPFS (7.4 vs. 3.6 months, p < 0.01) than the non-D + ICI group; however, incidence of irAEs showed no difference (29.7 % vs. 12.8 %, p = 0.07). Although clinical outcomes did not differ regardless of whether denosumab was initiated before or after ICI treatment, the group that received concomitant denosumab for more than four months had significantly better RR (46.2 % vs. 17.4 %, p = 0.03), OS (20.3 vs. 3.8 months, p < 0.01), and rwPFS (10.9 vs. 2.8 months, p < 0.01) than the group that received concomitant denosumab for less than four months. However, the landmark analysis showed no significant differences in OS (20.4 vs. 12.7 months, p = 0.11) and rwPFS (22.8 vs. 11.2 months, p = 0.21), and the results of denosumab duration were influenced by long-term survivors. ConclusionDenosumab showed favorable synergistic effects with ICI treatment and may significantly improve the response to bone metastasis and prognosis without increasing the incidence of irAEs.

Prognostic relevance of platelet lymphocyte ratio (PLR) in gastric cancer patients receiving immune checkpoint inhibitors: a systematic review and meta-analysis.

The prognostic relevance of the platelet-to-lymphocyte ratio (PLR) in gastric cancer (GC) patients undergoing immune checkpoint inhibitor (ICI) treatment remains unclear. This meta-analysis aimed to determine the prognostic impact of PLR in this specific patient cohort. We searched the PubMed, Cochrane Library, CNKI, and EMBASE databases, including literature published up to September 2023, to investigate the prognostic implications of PLR in patients with gastric cancer undergoing immune checkpoint inhibitor therapy. Outcome measures encompassed overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and disease control rates (DCR). Nine studies from seven articles comprising 948 eligible patients were selected. The results revealed a significant correlation between elevated PLR and poorer OS and progression-free survival (PFS) (OS: HR 1.67, 95% CI 1.39-2.00, p < 0.001; PFS: HR 1.51, 95% CI 1.29-1.76, p < 0.001). Subgroup analyses were performed to validate the robustness of the results. Moreover, a meta-analysis of four studies investigating the correlation between the PLR in gastric cancer (GC) patients and the objective response rate/disease control rate (ORR/DCR), showed no significant association between the PLR and ORR/DCR (ORR: RR = 1.01, p = 0.960; DCR: RR = 0.96, p = 0.319). This meta-analysis indicates that elevated PLR in GC patients undergoing ICI treatment is significantly linked to worse OS and PFS. Therefore, PLR can serve as a prognostic indicator of post-treatment outcomes in patients with GC receiving ICIs. Further prospective studies are required to assess the reliability of these findings. https://inplasy.com/, identifier INPLASY2023120103.

Immune phenotype profiling based on anatomic origin of melanoma and impact on clinical outcomes of immune checkpoint inhibitor treatment.

9569 Background: The inflamed immune phenotype is associated with a favorable response to immunotherapy in metastatic malignant melanoma. Although variations in molecular features across melanoma subtypes and differing ethnic distributions have been well reported, studies investigating immune phenotypes across multiple institutions within the context of different melanoma subtypes are scarce. We examined the association of immune phenotypes with outcomes after immunotherapy, based on subtypes of malignant melanoma. Methods: Two institutional advanced melanoma cohortsrepresenting Asian and Western populations (YUHS, n = 123; Stanford University, n = 102) were included. H&amp;E-stained tumor slides were assessed using Lunit SCOPE IO, an AI-powered whole slide image analyzer, to define the inflamed score (IS, % of inflamed area) and the inflamed phenotype (&gt;33.3% IS). Clinical outcomes after immune checkpoint inhibitor (anti-PD-1/PD-L1) treatment, including progression-free survival (PFS) and overall-survival (OS), were assessed. Results: In the overall cohort (n = 225), the inflamed phenotype was associated with prolonged PFS (HR = 0.634, 95% CI: 0.453 – 0.887, p = 0.007) and OS (HR = 0.655, 95% CI: 0.432 – 0.992, p = 0.044). On analysis of melanoma subtypes, we identified non-acral cutaneous melanomas (CM, n = 94), acral melanomas (AM, n = 52), mucosal melanomas (n = 43), uveal melanomas (n = 16), and melanomas of unknown primary site (n = 20), with a disproportionate enrichment of AM (37.4%) and mucosal (29.3%) melanoma cases in the YUHS cohort and CM cases (68.6%) in the Stanford cohort. The IS varied across different melanoma subtypes, with the highest IS observed in CM (median, [IQR]; 34.0, [5.8–52.2]), and significantly lower scores in AM (22.3, [7.7–36.9]), mucosal (13.6, [0–31.4]), and uveal melanoma (5.5, [0–13.6]). Among CM patients, the inflamed phenotype was significantly associated with better post-immunotherapy PFS (HR = 0.476, 95% CI: 0.274 – 0.826, p = 0.007). In contrast, the inflamed phenotype did not correlate with survival in AM patients (p = 0.58), who exhibited universally poorer PFS compared to non-AM patients (HR = 2.124, 95% CI: 1.486 - 3.005). Conclusions: AI-powered immune phenotype assessment highlights a heterogeneity of immune phenotypes across specific melanoma subtypes, as well as differential association with outcomes after immune checkpoint inhibitor treatment. While CM patients were well-stratified by immune phenotype, the predictive value of immune phenotyping was less pronounced in acral melanomas, which demonstrated poorer outcomes following immunotherapy.

Prognostic and predictive value of ultrasensitive ctDNA monitoring in a metastatic pan-cancer cohort treated with immune checkpoint inhibitors in the context of phase 1 clinical trials.

2510 Background: Determining which patients will achieve clinical benefit from immune checkpoint inhibition (ICI) therapy remains an open question. Liquid biopsy tests to assess baseline and early dynamics of circulating tumor DNA (ctDNA) may allow clinicians to track response more granularly and predict ICI response or resistance prior to imaging. However, lack of sensitivity may hinder accurate detection of low ctDNA levels in tumors with low shedding rates or during substantial drops and clearance in response. Methods: This study represents a cohort of 175 patients with refractory metastatic tumors from 18 different cancer types, who received 1-3 successive lines of ICI treatment in the context of phase-1 clinical trials. Thus far, 609 plasma samples from 90 stage-IV cancer patients receiving immune checkpoint inhibitor (ICI) treatment have been processed. ctDNA was profiled using the NeXT Personal assay, a liquid biopsy platform that leverages whole-genome sequencing of tumor and normal samples to create custom, patient-specific panels that include up to 1,800 somatic variants. This enables the detection of molecular residual disease (MRD) down to a detection threshold of 1 part per million (PPM) of ctDNA. Results: NeXT Personal assay detected positive levels of ctDNA in 99% (81/82) of plasma baseline samples, with a wide dynamic range, extending from 4.2 PPM (~0.00042% TF) to ~640,000 PPM (~64% TF) (median limit of detection = 2 PPM, 0.0002% TF). Lower ctDNA values at baseline were correlated with increased duration of PFS (log-rank p=0.017, HR=0.57, 95% CI 0.36-0.91) and extended OS (log-rank p=0.002, HR=0.46, 95% CI 0.28-0.75). Early reduction in ctDNA level from baseline to treatment cycle 3 was associated with significant increases in PFS (log-rank p=0.001, HR=0.36, 95% CI 0.19-0.67) and OS (log-rank p=0.015, HR=0.44, 95% CI 0.22-0.87), representing a &gt;3-fold increase in both median PFS and OS. ctDNA clearance resulted in significant improvement in both PFS and OS (PFS: log-rank p=0.002, HR=0.24, 95% CI 0.09-0.62; OS: log-rank p=0.01, HR=0.29, 95% CI 0.1-0.8). All plasma timepoints from periods of durable complete response (CR) assessed via RECIST 1.1 were ctDNA-negative, with a molecular clearance lead time of 277 days over radiographically confirmed CR. Conclusions: We demonstrate that early ctDNA dynamics are predictive of long-term ICI response in the advanced, pan-cancer ECT setting. Even in this refractory advanced cancer cohort, an ultra-sensitive assay was required for accurate MRD status determination, with low ctDNA detections down to 4.2 PPM that might otherwise have been missed. Taken together, these findings suggest a high sensitivity ctDNA assay is crucial for accurate monitoring of ICI response, providing information for more accurate patient management.

Retrospective analysis of change in frequency of STK11 mutation in lung adenocarcinomas over a 10-year period.

8032 Background: Previous studies have linked the presence of inactivating mutations in the tumor suppressor gene STK11 with reduced efficacy of immune checkpoint inhibitor (ICI) treatments in lung adenocarcinoma (LA). We queried whether there has been a change in the STK11 mutation frequency over the last 10-year period that could potentially reflect the emergence of additional acquired resistance mutations. Methods: Over a 10-year period from 2013 through 2022, 109,763 clinically advanced LA underwent hybrid capture based comprehensive genomic profiling (CGP) to assess all classes of genomic alterations (GA) at a single reference laboratory (Foundation Medicine). MSI-high status and tumor mutational burden (TMB) were determined from the sequencing data. PD-L1 status was measured by immunohistochemistry (IHC) using the Dako 22C3 kit with TPS scoring. Statistical comparisons utilized the 2-tailed Chi Square method with the Yates’ correction. Results: The frequency of STK11 inactivating GA in all cases of LA significantly increased during the study period from 2013 to 2022 (16.1% vs 20.1%; p=0.0005). This increase appeared to be predominantly in KRAS wild type LA (10.1% vs 15.5%; p&lt;0.0001). The STK11 GA frequency slightly declined in the KRAS mutated LA over the 10-year period (29.9% vs o 27.0%, P=0.25). During the same time period, the KEAP1 GA frequency increased from 12.6% to 14.9% (p= 0.076) and the frequency of combined STK11 and KEAP1 GA increased from 4.8% to 8.0% (p=.0006). The frequencies of MSI-high status, TMB and PD-L1 expression did not significantly change over the observation period. Conclusions: The continuously increasing approved indications for ICI-based treatments for both early stage and clinically advanced LA appears to be accompanied by a significant increase in the frequency of inactivating STK11 GA predominantly in the KRAS mutation negative LA population. This inactivation is associated with an attenuated response rate and progression-free survival in this population. Given the development of novel therapies focused on potential restoration of STK11 function by HDAC/CoREST inhibition, further study of the STK11 GA distribution in LA appears warranted. [Table: see text]

Durvalumab and tremelimumab versus doxorubicin in previously untreated patients with advanced or metastatic soft tissue sarcoma: Patient-reported outcomes (PROs) of the randomized phase II MEDISARC study (AIO-STS-0415).

11519 Background: The randomized phase II MEDISARC trial (NCT03317457) tested durvalumab (DUR) and tremelimumab (TRE) vs. doxorubicin (DOX) in soft tissue sarcoma (STS) patients in first-line therapy. The study showed no PFS benefit (HR 1.22; 95%CI 0,90-1.64; P = .4049), but a trend in prolonged OS (HR 0.73; 95%CI 0.54-0.99; P = .185) in favor of DUR-TRE (Grünwald et al. ESMO 2024: LBA90). The current analysis reports on patient reported outcomes (PROs) under treatment. Methods: We utilized EORTC QLQ-C30 printed questionnaires in randomized patients. PRO were assessed during screening and under treatment every 12 weeks until progression, and 4 weeks after last dose. Time to deterioration (TTD; decrease by 5 points) and mean change from baseline was measured for QLQ-C30 domains. Formal statistic testing was not performed. Results: The median follow-up for DUR-TREM vs. DOX were 34.0 mo. (25.6-42.2) and 37.9 mo. (31.5-37.9). The median duration of therapy was 2.8 (0-13) and 2.1 (0-4) mo., respectively. 86 of 92 (93.5%) patients had ≥1 PRO assessments and were included into the analyses. The completion rate at week 12 was 41.3%. Mean baseline global health status (GHS) was 54.1 (SD: 25.64) and 56.5 (SD: 28.47), respectively. GHS above the median was associated with improved OS and PFS in both arms, indicating a possible predictive biomarker. Under treatment, changes in PRO domains at 12 weeks were noted. TTD favored DUR-TRE in selected functional and symptom domains. Details will be shown at the meeting. Conclusions: MEDISARC is the first study to compare check-point inhibitor and doxorubicin treatment in sarcoma patients. PRO measures from baseline to week 12 favored DUR-TRE. Overall, results indicated better symptom and quality of life in patients treated with DUR-TRE. Clinical trial information: NCT03317457. [Table: see text]

Phenotyping Hepatic Immune-Related Adverse Events in the Setting of Immune Checkpoint Inhibitor Therapy.

We present and validate a rule-based algorithm for the detection of moderate to severe liver-related immune-related adverse events (irAEs) in a real-world patient cohort. The algorithm can be applied to studies of irAEs in large data sets. We developed a set of criteria to define hepatic irAEs. The criteria include: the temporality of elevated laboratory measurements in the first 2-14 weeks of immune checkpoint inhibitor (ICI) treatment, steroid intervention within 2 weeks of the onset of elevated laboratory measurements, and intervention with a duration of at least 2 weeks. These criteria are based on the kinetics of patients who experienced moderate to severe hepatotoxicity (Common Terminology Criteria for Adverse Events grades 2-4). We applied these criteria to a retrospective cohort of 682 patients diagnosed with hepatocellular carcinoma and treated with ICI. All patients were required to have baseline laboratory measurements before and after the initiation of ICI. A set of 63 equally sampled patients were reviewed by two blinded, clinical adjudicators. Disagreements were reviewed and consensus was taken to be the ground truth. Of these, 25 patients with irAEs were identified, 16 were determined to be hepatic irAEs, 36 patients were nonadverse events, and two patients were of indeterminant status. Reviewers agreed in 44 of 63 patients, including 19 patients with irAEs (0.70 concordance, Fleiss' kappa: 0.43). By comparison, the algorithm achieved a sensitivity and specificity of identifying hepatic irAEs of 0.63 and 0.81, respectively, with a test efficiency (percent correctly classified) of 0.78 and outcome-weighted F1 score of 0.74. The algorithm achieves greater concordance with the ground truth than either individual clinical adjudicator for the detection of irAEs.