Unmet Needs, Quality of Life, and Financial Toxicity Among Survivors of Lung Cancer

Importance

Despite a growing population of survivors of lung cancer, there is limited understanding of the survivorship journey. Survivors of lung cancer experience unmet physical, social, emotional, and medical needs regardless of stage at diagnosis or treatment modalities.

Objective

To investigate the association of unmet needs with quality of life (QOL) and financial toxicity (FT) among survivors of lung cancer.

Design, Setting, and Participants

This survey study was conducted at Johns Hopkins Sidney Kimmel Comprehensive Cancer Center thoracic oncology clinics between December 1, 2020, and September 30, 2021, to assess needs (physical, social, emotional, and medical), QOL, and FT among survivors of lung cancer. Patients had non-small cell lung cancer of any stage and were alive longer than 1 year from diagnosis. A cross-sectional survey was administered, which consisted of an adapted needs survey developed by the Mayo Survey Research Center, the Comprehensive Score for Financial Toxicity measure, and the European Organization for Research and Treatment of Cancer QLQ-C30 QOL scale. Demographic and clinical information was obtained through retrospective medical record review. Data analysis was performed between May 9 and December 8, 2022.

Main Outcomes and Measures

Separate multiple linear regression models, treating QOL and FT as dependent variables, were performed to assess the adjusted association of total number of unmet needs and type of unmet need (physical, emotional, social, or medical) with QOL and FT.

Results

Of the 360 survivors of lung cancer approached, 232 completed the survey and were included in this study. These 232 respondents had a median age of 69 (IQR, 60.5-75.0) years. Most respondents were women (144 [62.1%]), were married (165 [71.1%]), and had stage III or IV lung cancer (140 [60.3%]). Race and ethnicity was reported as Black (33 [14.2%]), White (172 [74.1%]), or other race or ethnicity (27 [11.6%]). A higher number of total unmet needs was associated with lower QOL (β [SE], -1.37 [0.18]; P < .001) and higher FT (β [SE], -0.33 [0.45]; P < .001). In the context of needs domains, greater unmet physical needs (β [SE], -1.24 [0.54]; P = .02), social needs (β [SE], -3.60 [1.34]; P = .01), and medical needs (β [SE], -2.66 [0.98]; P = .01) were associated with lower QOL, whereas only greater social needs was associated with higher FT (β [SE], -3.40 [0.53]; P < .001).

Conclusions and Relevance

The findings of this survey study suggest that among survivors of lung cancer, unmet needs were associated with lower QOL and higher FT. Future studies evaluating targeted interventions to address these unmet needs may improve QOL and FT among survivors of lung cancer.

Neoadjuvant Chemoimmunotherapy for NSCLC: A Systematic Review and Meta-Analysis

Importance

To date, no meta-analyses have comprehensively assessed the association of neoadjuvant chemoimmunotherapy with clinical outcomes in non-small cell lung cancer (NSCLC) in randomized and nonrandomized settings. In addition, there exists controversy concerning the efficacy of neoadjuvant chemoimmunotherapy for patients with NSCLC with programmed cell death 1 ligand 1 (PD-L1) levels less than 1%.

Objective

To compare neoadjuvant chemoimmunotherapy with chemotherapy by adverse events and surgical, pathological, and efficacy outcomes using recently published randomized clinical trials and nonrandomized trials.

Data Sources

MEDLINE and Embase were systematically searched from January 1, 2013, to October 25, 2023, for all clinical trials of neoadjuvant chemoimmunotherapy and chemotherapy that included at least 10 patients.

Study Selection

Observational studies and trials reporting the use of neoadjuvant radiotherapy, including chemoradiotherapy, molecular targeted therapy, or immunotherapy monotherapy, were excluded.

Main Outcomes and Measures

Surgical, pathological, and efficacy end points and adverse events were pooled using a random-effects meta-analysis.

Results

Among 43 eligible trials comprising 5431 patients (4020 males [74.0%]; median age range, 55-70 years), there were 8 randomized clinical trials with 3387 patients. For randomized clinical trials, pooled overall survival (hazard ratio, 0.65; 95% CI, 0.54-0.79; I2 = 0%), event-free survival (hazard ratio, 0.59; 95% CI, 0.52-0.67; I2 = 14.9%), major pathological response (risk ratio, 3.42; 95% CI, 2.83-4.15; I2 = 31.2%), and complete pathological response (risk ratio, 5.52; 95% CI, 4.25-7.15; I2 = 27.4%) favored neoadjuvant chemoimmunotherapy over neoadjuvant chemotherapy. For patients with baseline tumor PD-L1 levels less than 1%, there was a significant benefit in event-free survival for neoadjuvant chemoimmunotherapy compared with chemotherapy (hazard ratio, 0.74; 95% CI, 0.62-0.89; I2 = 0%).

Conclusion and Relevance

This study found that neoadjuvant chemoimmunotherapy was superior to neoadjuvant chemotherapy across surgical, pathological, and efficacy outcomes. These findings suggest that patients with resectable NSCLC with tumor PD-L1 levels less than 1% may have an event-free survival benefit with neoadjuvant chemoimmunotherapy.

Impact of Tumor-intrinsic Molecular Features on Survival and Acquired Tyrosine Kinase Inhibitor Resistance in ALK-positive NSCLC

While tyrosine kinase inhibitors (TKI) have shown remarkable efficacy in anaplastic lymphoma kinase (ALK) fusion-positive advanced non-small cell lung cancer (NSCLC), clinical outcomes vary and acquired resistance remains a significant challenge. We conducted a retrospective study of patients with ALK-positive NSCLC who had clinico-genomic data independently collected from two academic institutions (n = 309). This was paired with a large-scale genomic cohort of patients with ALK-positive NSCLC who underwent liquid biopsies (n = 1,118). Somatic co-mutations in TP53 and loss-of-function alterations in CDKN2A/B were most commonly identified (24.1% and 22.5%, respectively in the clinical cohort), each of which was independently associated with inferior overall survival (HR: 2.58; 95% confidence interval, CI: 1.62-4.09 and HR: 1.93; 95% CI: 1.17-3.17, respectively). Tumors harboring EML4-ALK variant 3 (v3) were not associated with specific co-alterations but were more likely to develop ALK resistance mutations, particularly G1202R and I1171N (OR: 4.11; P < 0.001 and OR: 2.94; P = 0.026, respectively), and had inferior progression-free survival on first-line TKI (HR: 1.52; 95% CI: 1.03-2.25). Non-v3 tumors were associated with L1196M resistance mutation (OR: 4.63; P < 0.001). EML4-ALK v3 and somatic co-alterations in TP53 and CDKN2A/B are associated with inferior clinical outcomes. v3 status is also associated with specific patterns of clinically important ALK resistance mutations. These tumor-intrinsic features may inform rational selection and optimization of first-line and consolidative therapy.

SIGNIFICANCE

In a large-scale, contemporary cohort of patients with advanced ALK-positive NSCLC, we evaluated molecular characteristics and their impact on acquired resistance mutations and clinical outcomes. Our findings that certain ALK variants and co-mutations are associated with differential survival and specific TKI-relevant resistance patterns highlight potential molecular underpinnings of the heterogenous response to ALK TKIs and nominate biomarkers that may inform patient selection for first-line and consolidative therapies.

Evaluation of Major Pathologic Response and Pathologic Complete Response as Surrogate End Points for Survival in Randomized Controlled Trials of Neoadjuvant Immune Checkpoint Blockade in Resectable in NSCLC

INTRODUCTION

Controversy remains as to whether pathologic complete response (pCR) and major pathologic response (MPR) represent surrogate end points for event-free survival (EFS) and overall survival (OS) in neoadjuvant trials for resectable NSCLC.

METHODS

A search of PubMed and archives of international conference abstracts was performed from June 2017 through October 31, 2023. Studies incorporating a neoadjuvant arm with immune checkpoint blockade alone or in combination with chemotherapy were included. Those not providing information regarding pCR, MPR, EFS, or OS were excluded. For trial-level surrogacy, log ORs for pCR and MPR and log hazard ratios for EFS and OS were analyzed using a linear regression model weighted by sample size. The regression coefficient and R2 with 95% confidence interval were calculated by the bootstrapping approach.

RESULTS

Seven randomized clinical trials were identified for a total of 2385 patients. At the patient level, the R2 of pCR and MPR with 2-year EFS were 0.82 (0.66-0.94) and 0.81 (0.63-0.93), respectively. The OR of 2-year EFS rates by response status was 0.12 (0.07-0.19) and 0.11 (0.05-0.22), respectively. For the 2-year OS, the R2 of pCR and MPR were 0.55 (0.09-0.98) and 0.52 (0.10-0.96), respectively. At the trial level, the R2 for the association of OR for response and HR for EFS was 0.58 (0.00-0.97) and 0.61 (0.00-0.97), respectively.

CONCLUSIONS

Our analyses reveal a robust correlation between pCR and MPR with 2-year EFS but not OS. Trial-level surrogacy was moderate but imprecise. More mature follow-up and data to assess the impact of study crossover are needed.

Biomarker-directed targeted therapy plus durvalumab in advanced non-small-cell lung cancer: a phase 2 umbrella trial

For patients with non-small-cell lung cancer (NSCLC) tumors without currently targetable molecular alterations, standard-of-care treatment is immunotherapy with anti-PD-(L)1 checkpoint inhibitors, alone or with platinum-doublet therapy. However, not all patients derive durable benefit and resistance to immune checkpoint blockade is common. Understanding mechanisms of resistance-which can include defects in DNA damage response and repair pathways, alterations or functional mutations in STK11/LKB1, alterations in antigen-presentation pathways, and immunosuppressive cellular subsets within the tumor microenvironment-and developing effective therapies to overcome them, remains an unmet need. Here the phase 2 umbrella HUDSON study evaluated rational combination regimens for advanced NSCLC following failure of anti-PD-(L)1-containing immunotherapy and platinum-doublet therapy. A total of 268 patients received durvalumab (anti-PD-L1 monoclonal antibody)-ceralasertib (ATR kinase inhibitor), durvalumab-olaparib (PARP inhibitor), durvalumab-danvatirsen (STAT3 antisense oligonucleotide) or durvalumab-oleclumab (anti-CD73 monoclonal antibody). Greatest clinical benefit was observed with durvalumab-ceralasertib; objective response rate (primary outcome) was 13.9% (11/79) versus 2.6% (5/189) with other regimens, pooled, median progression-free survival (secondary outcome) was 5.8 (80% confidence interval 4.6-7.4) versus 2.7 (1.8-2.8) months, and median overall survival (secondary outcome) was 17.4 (14.1-20.3) versus 9.4 (7.5-10.6) months. Benefit with durvalumab-ceralasertib was consistent across known immunotherapy-refractory subgroups. In ATM-altered patients hypothesized to harbor vulnerability to ATR inhibition, objective response rate was 26.1% (6/23) and median progression-free survival/median overall survival were 8.4/22.8 months. Durvalumab-ceralasertib safety/tolerability profile was manageable. Biomarker analyses suggested that anti-PD-L1/ATR inhibition induced immune changes that reinvigorated antitumor immunity. Durvalumab-ceralasertib is under further investigation in immunotherapy-refractory NSCLC.ClinicalTrials.gov identifier: NCT03334617.

The Emerging Role of Immunotherapy in Resectable Non-Small Cell Lung Cancer

BACKGROUND

Despite surgical resection, long-term survival of patients with resectable non-small cell lung cancer (NSCLC) remains poor. Adjuvant chemotherapy, the standard of care for locally advanced NSCLC, provides a marginal 5.4% benefit in survival. Immune checkpoint inhibitors (ICIs) have shown a significant survival benefit in some patients with advanced NSCLC and are being evaluated for perioperative use in resectable NSCLC.

METHODS

We conducted a literature search using the PubMed online database to identify clinical trials of immunotherapy in resectable NSCLC and studies analyzing biomarkers and immune priming strategies.

RESULTS

Building on previous phase I and II trials, randomized phase III trials have shown efficacy of neoadjuvant nivolumab, perioperative pembrolizumab, adjuvant atezolizumab, and adjuvant pembrolizumab in the treatment of NSCLC with improvement of event-free/disease-free survival of 24% to 42%, leading to United States Food and Drug Administration approval of these drugs in the treatment of resectable NSCLC. Three additional phase III trials have also recently reported the use of immunotherapy both before and after surgery, with pathologic complete response rates of 17% to 25%, significantly better than chemotherapy alone. Perioperative ICI therapy has comparable perioperative morbidity to chemotherapy alone and does not impair surgical outcomes.

CONCLUSIONS

Perioperative immunotherapy, in combination with chemotherapy, is safe and improves outcomes in patients with resectable NSCLC. Questions regarding patient selection, the need for adjuvant ICI therapy after neoadjuvant chemoimmunotherapy, and the duration of perioperative immunotherapy remain to be answered by future trials.

Elucidating the Heterogeneity of Immunotherapy Response and Immune-Related Toxicities by Longitudinal ctDNA and Immune Cell Compartment Tracking in Lung Cancer

PURPOSE

Although immunotherapy is the mainstay of therapy for advanced non-small cell lung cancer (NSCLC), robust biomarkers of clinical response are lacking. The heterogeneity of clinical responses together with the limited value of radiographic response assessments to timely and accurately predict therapeutic effect-especially in the setting of stable disease-calls for the development of molecularly informed real-time minimally invasive approaches. In addition to capturing tumor regression, liquid biopsies may be informative in capturing immune-related adverse events (irAE).

EXPERIMENTAL DESIGN

We investigated longitudinal changes in circulating tumor DNA (ctDNA) in patients with metastatic NSCLC who received immunotherapy-based regimens. Using ctDNA targeted error-correction sequencing together with matched sequencing of white blood cells and tumor tissue, we tracked serial changes in cell-free tumor load (cfTL) and determined molecular response. Peripheral T-cell repertoire dynamics were serially assessed and evaluated together with plasma protein expression profiles.

RESULTS

Molecular response, defined as complete clearance of cfTL, was significantly associated with progression-free (log-rank P = 0.0003) and overall survival (log-rank P = 0.01) and was particularly informative in capturing differential survival outcomes among patients with radiographically stable disease. For patients who developed irAEs, on-treatment peripheral blood T-cell repertoire reshaping, assessed by significant T-cell receptor (TCR) clonotypic expansions and regressions, was identified on average 5 months prior to clinical diagnosis of an irAE.

CONCLUSIONS

Molecular responses assist with the interpretation of heterogeneous clinical responses, especially for patients with stable disease. Our complementary assessment of the peripheral tumor and immune compartments provides an approach for monitoring of clinical benefits and irAEs during immunotherapy.

Association between pathologic response and survival after neoadjuvant therapy in lung cancer

Neoadjuvant immunotherapy plus chemotherapy improves event-free survival (EFS) and pathologic complete response (0% residual viable tumor (RVT) in primary tumor (PT) and lymph nodes (LNs)), and is approved for treatment of resectable lung cancer. Pathologic response assessment after neoadjuvant therapy is the potential analog to radiographic response for advanced disease. However, %RVT thresholds beyond pathologic complete response and major pathologic response (≤10% RVT) have not been explored. Pathologic response was prospectively assessed in the randomized, phase 3 CheckMate 816 trial (NCT02998528), which evaluated neoadjuvant nivolumab (anti-programmed death protein 1) plus chemotherapy in patients with resectable lung cancer. RVT, regression and necrosis were quantified (0-100%) in PT and LNs using a pan-tumor scoring system and tested for association with EFS in a prespecified exploratory analysis. Regardless of LN involvement, EFS improved with 0% versus >0% RVT-PT (hazard ratio = 0.18). RVT-PT predicted EFS for nivolumab plus chemotherapy (area under the curve = 0.74); 2-year EFS rates were 90%, 60%, 57% and 39% for patients with 0-5%, >5-30%, >30-80% and >80% RVT, respectively. Each 1% RVT associated with a 0.017 hazard ratio increase for EFS. Combining pathologic response from PT and LNs helped differentiate outcomes. When compared with radiographic response and circulating tumor DNA clearance, %RVT best approximated EFS. These findings support pathologic response as an emerging survival surrogate. Further assessment of the full spectrum of %RVT in lung cancer and other tumor types is warranted. ClinicalTrials.gov registration: NCT02998528 .

Clinical features and outcomes of advanced HER2+ esophageal/GEJ cancer with brain metastasis

BACKGROUND

Brain metastasis (BRM) is uncommon in gastroesophageal cancer. As such, clinicopathologic and molecular determinants of BRM and impact on clinical outcome remain incompletely understood.

METHODS

We retrospectively analyzed clinicopathologic data from advanced esophageal/gastroesophageal junction (E/GEJ) patients at Johns Hopkins from 2003 to 2021. We investigated the association between several clinical and molecular features and the occurrence of BRM, with particular focus on human epidermal growth factor receptor 2 (HER2) overexpression. Survival outcomes and time to BRM onset were also evaluated.

RESULTS

We included 515 patients with advanced E/GEJ cancer. Tumors were 78.3% esophageal primary, 82.9% adenocarcinoma, 31.0% HER2 positive. Cumulative incidence of BRM in the overall cohort and within HER2+ subgroup was 13.8% and 24.3%, respectively. HER2 overexpression was associated with increased risk of BRM [odds ratio 2.45; 95% confidence interval (CI) 1.10-5.46]. On initial presentation with BRM, 50.7% had a solitary brain lesion and 11.3% were asymptomatic. HER2+ status was associated with longer median time to onset of BRM (14.0 versus 6.3 months, P < 0.01), improved median progression free survival on first-line systemic therapy (hazard ratio 0.35, 95% CI 0.16-0.80), and improved median overall survival (hazard ratio 0.20, 95% CI 0.08-0.54) in patients with BRM.

CONCLUSION

HER2 overexpression identifies a gastroesophageal cancer molecular subtype that is significantly associated with increased risk of BRM, though with later onset of BRM and improved survival likely reflecting the impact of central nervous system-penetrant HER2-directed therapy. The prevalence of asymptomatic and solitary brain lesions suggests that brain surveillance for HER2+ patients warrants prospective investigation.

Surgical and survival outcomes with perioperative or neoadjuvant immune-checkpoint inhibitors combined with platinum-based chemotherapy in resectable NSCLC: A systematic review and meta-analysis of randomised clinical trials

The use of neoadjuvant or perioperative anti-PD(L)1 was recently tested in multiple clinical trials. We performed a systematic review and meta-analysis of randomised trials comparing neoadjuvant or perioperative chemoimmunotherapy to neoadjuvant chemotherapy in resectable NSCLC. Nine reports from 6 studies were included. Receipt of surgery was more frequent in the experimental arm (odds ratio, OR 1.39) as was pCR (OR 7.60). EFS was improved in the experimental arm (hazard ratio, HR 0.55) regardless of stage, histology, PD-L1 expression (PD-L1 negative, HR 0.74) and smoking exposure (never smokers, HR 0.67), as was OS (HR 0.67). Grade > = 3 treatment-related adverse events were more frequent in the experimental arm (OR 1.22). The experimental treatment improved surgical outcomes, pCR rates, EFS and OS in stage II-IIIB, EGFR/ALK negative resectable NSCLC; confirmatory evidence is warranted for stage IIIB tumours and with higher maturity of the OS endpoint.

Neoadjuvant Durvalumab Alone or Combined with Novel Immuno-Oncology Agents in Resectable Lung Cancer: The Phase II NeoCOAST Platform Trial

Neoadjuvant chemoimmunotherapy improves pathologic complete response rate and event-free survival in patients with resectable non-small cell lung cancer (NSCLC) versus chemotherapy alone. NeoCOAST was the first randomized, multidrug platform trial to examine novel neoadjuvant immuno-oncology combinations for patients with resectable NSCLC, using major pathologic response (MPR) rate as the primary endpoint. Eighty-three patients received a single cycle of treatment: 26 received durvalumab (anti-PD-L1) monotherapy, 21 received durvalumab plus oleclumab (anti-CD73), 20 received durvalumab plus monalizumab (anti-NKG2A), and 16 received durvalumab plus danvatirsen (anti-STAT3 antisense oligonucleotide). MPR rates were higher for patients in the combination arms versus durvalumab alone. Safety profiles for the combinations were similar to those of durvalumab alone. Multiplatform immune profiling suggested that improved MPR rates in the durvalumab plus oleclumab and durvalumab plus monalizumab arms were associated with enhanced effector immune infiltration of tumors, interferon responses and markers of tertiary lymphoid structure formation, and systemic functional immune cell activation.

SIGNIFICANCE

A neoadjuvant platform trial can rapidly generate clinical and translational data using candidate surrogate endpoints like MPR. In NeoCOAST, patients with resectable NSCLC had improved MPR rates after durvalumab plus oleclumab or monalizumab versus durvalumab alone and tumoral transcriptomic signatures indicative of augmented immune cell activation and function. See related commentary by Cooper and Yu, p. 2306. This article is featured in Selected Articles from This Issue, p. 2293.

Neoadjuvant Immunotherapy for Non-Small Cell Lung Cancer

Immune checkpoint blockade (ICB) has improved outcomes for patients with advanced non-small cell lung carcinoma (NSCLC). Building off of this, it has been hypothesized that the utilization of ICB early during the disease course may be advantageous, particularly in the neoadjuvant setting prior to definitive surgical resection. Preclinical studies have suggested that a more potent immune response may be induced by neoadjuvant ICB in the presence of a higher antigen burden and intact tumor draining lymph nodes. Recent clinical trials evaluating neoadjuvant ICB with or without chemotherapy combinations in patients with resectable NSCLC led to improved pathological responses and longer event-free survival when neoadjuvant ICB was added to chemotherapy. Surgical outcomes were also supportive of this approach, with encouraging rates of pathological downstaging. Additionally, the availability of pre-treatment biopsy samples and post-treatment surgical resection tissues facilitates the conducting of correlative studies that continue to improve our understanding of the mechanisms of response and resistance to ICB. As long-term survival outcomes from ongoing clinical trials are awaited, several important questions require further investigation, including the optimal duration of neoadjuvant therapy, the clinical endpoints most predictive of long-term outcomes, and translational studies that should be investigated in future trial designs. Additionally, the optimal clinical management of patients with residual disease at the time of surgical resection and those who experience recurrence remains to be determined. In this review, we will (1) discuss the rationale behind neoadjuvant ICB-based therapy in NSCLC, (2) summarize the clinical data available thus far, and (3) highlight unanswered questions that need to be addressed in future studies to maximize the clinical benefits of this approach.

Ablative radiation alone in stage I lung cancer produces an adaptive systemic immune response: insights from a prospective stud

Stereotactic ablative body radiation (SABR) delivers high rates of local control in early-stage non-small cell lung cancer (NSCLC); however, systemic immune effects are poorly understood. Here, we evaluate the early pathologic and immunologic effects of SABR. Blood/core-needle tumor biopsies were collected from six patients with stage I NSCLC before and 5-7 days after SABR (48 Gy/4 or 50 Gy/5 fractions). Serial blood was collected up to 1-year post-SABR. We used immunohistochemistry to evaluate pathological changes, immune-cell populations (CD8, FoxP3), and PD-L1/PD-1 expression within the tumor. We evaluated T-cell receptor (TCR) profile changes in the tumor using TCR sequencing. We used the MANAFEST (Mutation-Associated Neoantigen Functional Expansion of Specific T-cells) assay to detect peripheral neoantigen-specific T-cell responses and dynamics. At a median follow-up of 40 months, 83% of patients (n=5) were alive without tumor progression. Early post-SABR biopsies showed viable tumor and similar distribution of immune-cell populations as compared with baseline samples. Core-needle samples proved insufficient to detect population-level TCR-repertoire changes. Functionally, neoantigen-specific T-cells were detected in the blood prior to SABR. A subset of these patients had a transient increase in the frequency of neoantigen-specific T-cells between 1 week and 3-6 months after SABR. SABR alone could induce a delayed, transient neoantigen-specific T-cell immunologic response in patients with stage I NSCLC.

Immune-checkpoint inhibition for resectable non-small-cell lung cancer - opportunities and challenges

Therapeutic strategies harnessing the immune system to eliminate tumour cells have been successfully used for several cancer types, including in patients with advanced-stage non-small-cell lung cancer (NSCLC). In these patients, immune-checkpoint inhibitors (ICIs) can provide durable responses and improve overall survival either as monotherapy, or combined with chemotherapy or other immunotherapeutic agents. However, the implementation of ICIs in early stage NSCLC has been hampered by the continuous struggle to develop robust end points to assess their efficacy in this setting, especially those enabling a fast and reproducible evaluation of the clinical activity of neoadjuvant strategies. Several trials are testing ICIs, alone or in combination with chemotherapy, in early stage NSCLC as an adjuvant, neoadjuvant or perioperative approach. As a novelty, most trials in the neoadjuvant setting have adopted pathological response as a primary end point. ICIs have been approved for use in the neoadjuvant and adjuvant settings on the basis of event-free survival and disease-free survival benefit, respectively; however, the correlation of these end points with overall survival remains unclear in these settings. Unresolved challenges for the optimal use of ICIs with curative intent include concerns about their applicability in daily clinical practice and about improving patient selection based on predictive biomarkers or assessment of pathological response and minimal residual disease. In this Review, we discuss the rationale, available strategies and current trial landscape for the implementation of ICIs in patients with resectable NSCLC, and we further elaborate on future approaches to optimize their clinical benefit.

Non-invasive PD-L1 quantification using [18F]DK222-PET imaging in cancer immunotherapy

BACKGROUND

Combination therapies that aim to improve the clinical efficacy to immune checkpoint inhibitors have led to the need for non-invasive and early pharmacodynamic biomarkers. Positron emission tomography (PET) is a promising non-invasive approach to monitoring target dynamics, and programmed death-ligand 1 (PD-L1) expression is a central component in cancer immunotherapy strategies. [18F]DK222, a peptide-based PD-L1 imaging agent, was investigated in this study using humanized mouse models to explore the relationship between PD-L1 expression and therapy-induced changes in cancer.

METHODS

Cell lines and xenografts derived from three non-small cell lung cancers (NSCLCs) and three urothelial carcinomas (UCs) were used to validate the specificity of [18F]DK222 for PD-L1. PET was used to quantify anti-programmed cell death protein-1 (PD-1) therapy-induced changes in PD-L1 expression in tumors with and without microsatellite instability (MSI) in humanized mice. Furthermore, [18F]DK222-PET was used to validate PD-L1 pharmacodynamics in the context of monotherapy and combination immunotherapy in humanized mice bearing A375 melanoma xenografts. PET measures of PD-L1 expression were used to establish a relationship between pathological and immunological changes. Lastly, spatial distribution analysis of [18F]DK222-PET was developed to assess the effects of different immunotherapy regimens on tumor heterogeneity.

RESULTS

[18F]DK222-PET and biodistribution studies in mice with NSCLC and UC xenografts revealed high but variable tumor uptake at 60 min that correlated with PD-L1 expression. In MSI tumors treated with anti-PD-1, [18F]DK222 uptake was higher than in control tumors. Moreover, [18F]DK222 uptake was higher in A375 tumors treated with combination therapy compared with monotherapy, and negatively correlated with final tumor volumes. In addition, a higher number of PD-L1+ cells and higher CD8+-to-CD4+ cell ratio was observed with combination therapy compared with monotherapy, and positively correlated with PET. Furthermore, spatial distribution analysis showed higher [18F]DK222 uptake towards the core of the tumors in combination therapy, indicating a more robust and distinct pattern of immune cell infiltration.

CONCLUSION

[18F]DK222-PET has potential as a non-invasive tool for monitoring the effects of immunotherapy on tumors. It was able to detect variable PD-L1 expression in tumors of different cancer types and quantify therapy-induced changes in tumors. Moreover, [18F]DK222-PET was able to differentiate the impact of different therapies on tumors.

Improved lung cancer clinical outcomes in patients with autoimmune rheumatic diseases

PURPOSE

Concomitant autoimmune rheumatic diseases (ARD) can add morbidity and complicate treatment decisions for patients with lung cancer. We evaluated the tumour characteristics at diagnosis and clinical outcomes in lung cancer patients with or without ARD.

METHODS

This retrospective cohort study included 10 963 patients with lung cancer, treated at Johns Hopkins. Clinical data including tumour characteristics and outcomes were extracted from the cancer registry. Data on patients' history of 20 ARD were extracted from the electronic medical record. Logistic regression was used to compare tumour characteristics between those with and without ARD; Kaplan-Meier curves and Cox proportional hazards models were performed to compare survival outcomes.

RESULTS

ARD was present in 3.6% of patients (n=454). The mean age at diagnosis was 69 (SD 10) and 68 (SD 12) in patients with and without ARD (p=0.02). Female sex and smoking history were significantly associated with a history of ARD (OR: 1.75, OR: 1.46, p<0.05). Patients with ARD were more likely to be diagnosed with stage 1 lung cancer (36.8% vs 26.9%, p<0.001) and with smaller tumour size (OR: 0.76, p=0.01), controlling for sex, race and histology. Notably, lung cancer patients with ARD had a significantly prolonged median overall survival (OS) (7.11 years vs 1.7 years, p<0.001), independent of stage.

CONCLUSION

Patients with ARD and lung cancer had better OS compared with their counterparts, independent of cancer stage and treatments and were less likely to have advanced stage lung cancer at diagnosis. Additional studies are needed to investigate the differential immunological anti-tumour immune activity and genomic variations in patients with and without ARD.

Lung tumor-infiltrating Treg have divergent transcriptional profiles and function linked to checkpoint blockade response

Regulatory T cells (Treg) are conventionally viewed as suppressors of endogenous and therapy-induced antitumor immunity; however, their role in modulating responses to immune checkpoint blockade (ICB) is unclear. In this study, we integrated single-cell RNA-seq/T cell receptor sequencing (TCRseq) of >73,000 tumor-infiltrating Treg (TIL-Treg) from anti-PD-1-treated and treatment-naive non-small cell lung cancers (NSCLC) with single-cell analysis of tumor-associated antigen (TAA)-specific Treg derived from a murine tumor model. We identified 10 subsets of human TIL-Treg, most of which have high concordance with murine TIL-Treg subsets. Only one subset selectively expresses high levels of TNFRSF4 (OX40) and TNFRSF18 (GITR), whose engangement by cognate ligand mediated proliferative programs and NF-κB activation, as well as multiple genes involved in Treg suppression, including LAG3. Functionally, the OX40hiGITRhi subset is the most highly suppressive ex vivo, and its higher representation among total TIL-Treg correlated with resistance to PD-1 blockade. Unexpectedly, in the murine tumor model, we found that virtually all TIL-Treg-expressing T cell receptors that are specific for TAA fully develop a distinct TH1-like signature over a 2-week period after entry into the tumor, down-regulating FoxP3 and up-regulating expression of TBX21 (Tbet), IFNG, and certain proinflammatory granzymes. Transfer learning of a gene score from the murine TAA-specific TH1-like Treg subset to the human single-cell dataset revealed a highly analogous subcluster that was enriched in anti-PD-1-responding tumors. These findings demonstrate that TIL-Treg partition into multiple distinct transcriptionally defined subsets with potentially opposing effects on ICB-induced antitumor immunity and suggest that TAA-specific TIL-Treg may positively contribute to antitumor responses.

Neoadjuvant immune checkpoint blockade: A window of opportunity to advance cancer immunotherapy

Among new treatment approaches for patients with cancer, few have accelerated as quickly as neoadjuvant immune checkpoint blockade (ICB). Neoadjuvant cancer therapy is administered before curative-intent surgery in treatment-naïve patients. Conventional neoadjuvant chemotherapy and radiotherapy are primarily intended to reduce tumor size, improving surgical resectability. However, recent scientific evidence outlined here suggests that neoadjuvant immunotherapy can expand and transcriptionally modify tumor-specific T cell clones to enhance both intratumoral and systemic anti-tumor immunity. It further offers a unique "window of opportunity" to explore mechanisms and identify novel biomarkers of ICB response and resistance, opening possibilities for refining long-term clinical outcome predictions and developing new, more highly effective ICB combination therapies. Here, we examine advances in clinical and scientific knowledge gleaned from studies in select cancers and describe emerging key principles relevant to neoadjuvant ICB across many cancer types.

Neoadjuvant immune checkpoint inhibitor therapy in resectable non-small cell lung cancer

Only a minority of lung cancers are resectable at diagnosis, and many of these will eventually relapse. Adjuvant chemotherapy in this setting has a modest survival advantage, and there is significant need for new approaches to improve cure rates. Checkpoint inhibitor immunotherapy has transformed the prognosis for advanced lung cancer, and is increasingly being used in the neoadjuvant setting alone, or in combination with cytotoxic chemotherapy. While this has demonstrated convincing improvements in event-free survival and pathologic response, questions remain over optimal duration of therapy, predictive and prognostic biomarkers, response assessment and combination with other modalities. In addition, these results must be considered in the context of recent positive studies of adjuvant immunotherapy. Here, we summarise preclinical context and clinical trials in this space, discuss areas of controversy and pitfalls, and consider future challenges.

Neoadjuvant immunotherapy in resectable non-small cell lung cancer

Lung cancer is the leading cause of cancer-related deaths worldwide and is associated with poor 5-year outcomes, even among the 20% to 25% of patients who present with operable disease. Cisplatin-based adjuvant chemotherapy has long been the standard of care for patients with resected non-small cell lung cancer (NSCLC). With the incorporation of immunotherapy, however, the treatment paradigm for NSCLC has changed dramatically. The introduction of immune checkpoint blockade has improved clinical outcomes in multiple phase 2 and 3 trials in both the neoadjuvant and adjuvant setting, resulting in new US Food and Drug Administration approvals in the management of early-stage resectable lung cancer. This review explores the biological rationale for immune checkpoint blockade, both as monotherapy and in combination with chemotherapy, in conjunction with surgical management of patients with NSCLC. It also highlights the reported clinical trial data that have led to significant advances in the management of early-stage NSCLC. Additionally, this review summarizes ongoing key studies that will provide vital data on the clinical efficacy of these treatment approaches. The outcomes of ongoing trials and the associated biomarker-focused correlative studies will be critical to furthering the mechanistic understanding of immune checkpoint blockade in early-stage NSCLC. This, in turn, will help to uncover biomarkers of response and resistance in these patients.

Elucidating the heterogeneity of immunotherapy response and immune-related toxicities by longitudinal ctDNA and immune cell compartment tracking in lung cancer

Purpose

Although immunotherapy is the mainstay of therapy for advanced non-small cell lung cancer (NSCLC), robust biomarkers of clinical response are lacking. The heterogeneity of clinical responses together with the limited value of radiographic response assessments to timely and accurately predict therapeutic effect -especially in the setting of stable disease-call for the development of molecularly-informed real-time minimally invasive predictive biomarkers. In addition to capturing tumor regression, liquid biopsies may be informative in evaluating immune-related adverse events (irAEs).

Experimental design

We investigated longitudinal changes in circulating tumor DNA (ctDNA) in patients with metastatic NSCLC who received immunotherapy-based regimens. Using ctDNA targeted error-correction sequencing together with matched sequencing of white blood cells and tumor tissue, we tracked serial changes in cell-free tumor load (cfTL) and determined molecular response for each patient. Peripheral T-cell repertoire dynamics were serially assessed and evaluated together with plasma protein expression profiles.

Results

Molecular response, defined as complete clearance of cfTL, was significantly associated with progression-free (log-rank p=0.0003) and overall survival (log-rank p=0.01) and was particularly informative in capturing differential survival outcomes among patients with radiographically stable disease. For patients who developed irAEs, peripheral blood T-cell repertoire reshaping, assessed by significant TCR clonotypic expansions and regressions were noted on-treatment.

Conclusions

Molecular responses assist with interpretation of heterogeneous clinical responses especially for patients with stable disease. Our complementary assessment of the tumor and immune compartments by liquid biopsies provides an approach for monitoring of clinical benefit and immune-related toxicities for patients with NSCLC receiving immunotherapy.

Statement of translational relevance

Longitudinal dynamic changes in cell-free tumor load and reshaping of the peripheral T-cell repertoire capture clinical outcomes and immune-related toxicities during immunotherapy for patients with non-small cell lung cancer.

Safety and clinical efficacy of immune checkpoint inhibition and stereotactic body radiotherapy in patients with spine metastasis

OBJECTIVE

Immunotherapy, particularly immune checkpoint inhibitors (ICIs), has revolutionized the treatment of patients with many tumor histologies. Simultaneously, stereotactic body radiotherapy (SBRT) provides excellent local control (LC) and plays an important role in the management of spine metastasis. Promising preclinical work suggests the potential therapeutic benefit of combining SBRT with ICI therapy, but the safety profile of combined therapy is unclear. This study aimed to evaluate the toxicity profile associated with ICI in patients receiving SBRT and, secondarily, whether ICI administration sequence with respect to SBRT affects LC or overall survival (OS) outcomes.

METHODS

The authors retrospectively reviewed patients with spine metastasis treated with SBRT at an academic center. Patients who received ICI at any point during their disease course were compared to those with the same primary tumor types who did not receive ICI by using Cox proportional hazards analyses. Primary outcomes were long-term sequelae, including radiation-induced spinal cord myelopathy, esophageal stricture, and bowel obstruction. Secondarily, models were created to evaluate OS and LC in the cohort.

RESULTS

Two hundred forty patients who received SBRT to 299 spine metastases were included in this study. The most common primary tumor types were non-small cell lung cancer (n = 59 [24.6%]) and renal cell carcinoma (n = 55 [22.9%]). One hundred eight patients received at least 1 dose of ICI, with the most common regimen being single-agent anti-PD-1 (n = 80 [74.1%]), followed by combination CTLA-4/PD-1 inhibitors (n = 19 [17.6%]). Three patients experienced long-term radiation-induced sequelae: 2 had esophageal stricture and 1 had bowel obstruction. No patients developed radiation-induced myelopathy. There was no association between receipt of ICI and development of any of these adverse events (p > 0.9). Similarly, ICI was not significantly associated with either LC (p = 0.3) or OS (p = 0.6). In the entire cohort, patients who received ICI prior to beginning SBRT had worse median survival, but ICI sequence with respect to SBRT was not significantly prognostic of either LC (p > 0.3) or OS (p > 0.07); instead, baseline performance status was most predictive of OS (HR 1.38, 95% CI 1.07-1.78, p = 0.012).

CONCLUSIONS

Treatment regimens that combine ICIs before, concurrent with, and after SBRT for spine metastases are safe, with minimal risk for increased rates of long-term toxicity.

Addressing resistance to PD-1/PD-(L)1 pathway inhibition: considerations for combinatorial clinical trial designs

With multiple PD-(L)1 inhibitors approved across dozens of indications by the US Food and Drug Administration, the number of patients exposed to these agents in adjuvant, first-line metastatic, second-line metastatic, and refractory treatment settings is increasing rapidly. Although some patients will experience durable benefit, many have either no clinical response or see their disease progress following an initial response to therapy. There is a significant need to identify therapeutic approaches to overcome resistance and confer clinical benefits for these patients. PD-1 pathway blockade has the longest history of use in melanoma, non-small cell lung cancer (NSCLC), and renal cell carcinoma (RCC). Therefore, these settings also have the most extensive clinical experience with resistance. In 2021, six non-profit organizations representing patients with these diseases undertook a year-long effort, culminating in a 2-day workshop (including academic, industry, and regulatory participants) to understand the challenges associated with developing effective therapies for patients previously exposed to anti-PD-(L)1 agents and outline recommendations for designing clinical trials in this setting. This manuscript presents key discussion themes and positions reached through this effort, with a specific focus on the topics of eligibility criteria, comparators, and endpoints, as well as tumor-specific trial design options for combination therapies designed to treat patients with melanoma, NSCLC, or RCC after prior PD-(L)1 pathway blockade.

Genomic and transcriptomic analysis of checkpoint blockade response in advanced non-small cell lung cancer

Anti-PD-1/PD-L1 agents have transformed the treatment landscape of advanced non-small cell lung cancer (NSCLC). To expand our understanding of the molecular features underlying response to checkpoint inhibitors in NSCLC, we describe here the first joint analysis of the Stand Up To Cancer-Mark Foundation cohort, a resource of whole exome and/or RNA sequencing from 393 patients with NSCLC treated with anti-PD-(L)1 therapy, along with matched clinical response annotation. We identify a number of associations between molecular features and outcome, including (1) favorable (for example, ATM altered) and unfavorable (for example, TERT amplified) genomic subgroups, (2) a prominent association between expression of inducible components of the immunoproteasome and response and (3) a dedifferentiated tumor-intrinsic subtype with enhanced response to checkpoint blockade. Taken together, results from this cohort demonstrate the complexity of biological determinants underlying immunotherapy outcomes and reinforce the discovery potential of integrative analysis within large, well-curated, cancer-specific cohorts.

Abstract 3366: A machine learning approach to determine the cellular origin of variants in liquid biopsies

Introduction: Targeted next-generation sequencing (NGS) of cell-free DNA in plasma, referred to as liquid biopsy, has become a valuable diagnostic tool in clinical oncology. However, detection of variants related to clonal hematopoiesis (CH) is a major confounder that significantly impairs the clinical utility of liquid biopsies. Here we developed a machine-learning model to determine tumor versus CH origin of variants identified in plasma-only NGS.

Methods: We assembled a training cohort of 352 variants identified by targeted deep plasma sequencing from 199 patients with stage I-IV breast, colorectal, esophageal, lung, and ovarian cancer, coupled with matched white blood cell (WBC) and tumor tissue NGS to allow determination of the reference origin for each plasma variant. We employed Extreme Gradient Boosting (XGBoost) to integrate fragment, variant, gene, and patient level features to predict tumor versus CH plasma variant origin, evaluating the performance of this approach within the training cohort using 10-fold cross-validation. We applied the fixed model to two independent validation cohorts: a small cell lung cancer (SCLC) cohort comprising of 74 variants from targeted plasma NGS from 26 patients and a multi-cancer cohort of 409 variants detected using the MSK-Impact panel from 74 patients with breast, colorectal, and prostate cancer.

Results: Variant allele frequencies (VAF) did not differentiate tumor from CH variants, as the VAFs between tumor (median VAF 0.53%) and CH (median VAF 0.409%) variants in the training cohort were largely overlapping (area under the ROC curve-AUC 0.54, 95% confidence interval-CI 0.48-0.61). Similarly, individual fragmentomic features (mutant fragment length, cut points, and endpoint motifs) had limited ability to distinguish tumor from CH variants (AUC range 0.51-0.76). Using serial plasma samples, we identified stable statistical measures of differences in fragment feature distributions between mutant and wild type fragments; these were subsequently incorporated into an XGBoost machine-learning model along with variant, gene and patient features to predict tumor versus CH variant origin. Our model predicted variant origin with an AUC of 0.95 (95% CI 0.87-1) from 10-fold cross validation in the training cohort. The performance of the model was tested in independent SCLC and multi-cancer validation cohorts; the fixed model predicted plasma variant origin with an AUC of 0.87 (95% CI 0.73-1) and 0.89 (95% CI 0.86-0.92) respectively.

Conclusion: We developed a machine-learning model that integrates patient, gene, variant and fragment features to predict tumor versus CH origin of plasma variants across solid tumors and NGS sequencing platforms. The ability to identify bona fide tumor variants in plasma-only sequencing fills a critical need in the clinical implementation of liquid biopsy-guided cancer therapy by reducing misinterpretation due to CH contamination.

Citation Format: Jenna V. Canzoniero, Archana Balan, Jillian Phallen, Blair V. Landon, Lavanya Sivapalan, Benjamin Green, Zineb Belcaid, Susan C. Scott, Gavin Pereira, Vincent K. Lam, Ali H. Zaidi, Ronan J. Kelly, Christine L. Hann, Wade T. Iams, Christine M. Lovly, Patrick M. Forde, Gerrit A. Meijer, Geraldine R. Vink, Remond J. Fijneman, The MEDOCC Group, Victor E. Velculescu, Robert B. Scharpf, Valsamo Anagnostou. A machine learning approach to determine the cellular origin of variants in liquid biopsies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3366.

Abstract 4483: Distinct spatial distribution patterns of ALK-inhibitor naïve versus ALK-inhibitor treated ALK-positive NSCLC brain metastases

Background: Non-small cell lung cancer (NSCLC) with anaplastic lymphoma kinase rearrangement (ALK+) has a high affinity to form brain metastases (BrM). The cumulative incidence of BrMs in ALK+ lung cancer is over 50%, despite highly effective ALK tyrosine kinase inhibitors (TKIs) with CNS activity. Pharmacokinetic (PK) data from other CNS-active lung cancer TKIs (e.g., osimertinib) have revealed major brain white vs. gray matter drug concentration differences, raising the possibility of a PK-driven effect on BrM formation and response. This study aims to compare the size and distribution of ALK+ NSCLC BrMs at diagnosis in a TKI-naïve and TKI-exposed cohort.

Methods: We retrospectively reviewed brain MRIs from the date of BrM diagnosis for patients with ALK+ NSCLC at Johns Hopkins. Demographic and clinical information were collected by chart review. Each tumor was marked in a standard space brain model in the corresponding anatomic location represented by a sphere of corresponding diameter using 3D Slicer 4.11. FreeSurfer white-gray matter atlases were used to assess BrM distribution. The data for patients who were on TKI vs TKI-naïve at the time of BrM diagnosis were then analyzed separately. T-tests were used to compare the metastatic burden (sum of BrM diameters), mean BrM diameter per patient, number of BM per patient, per individual mean of white matter exclusive (defined as no overlap with gray matter) and deep white matter (≥5mm away from gray matter) BrMs between patient groups.

Results: 429 BrMs were identified in 39 patients, with 25 patients being TKI-naïve at the time of BrM diagnosis while 14 patients were on TKI therapy. TKI-exposed patients had significantly smaller BrM diameters than those in the TKI-naïve group (6.1±3.8 vs 10.2±5.5mm, p=0.02). While metastatic burden was very similar between the groups, the mean number of BrM per patient was numerically higher in the TKI-exposed group (10.6±11.9 vs 6.2±9.5; p=0.22). Notably, patients in the TKI-exposed group also had higher numbers of white matter exclusive (3.5±4.4 vs 1.4±2.0, p=0.05) and deep white matter metastases (3.2±4.3 vs 1.3±2.0, p=0.06) than those who were TKI-naïve.

Conclusion: Our data highlight the differences in BrM characteristics among ALK+ NSCLC exposed to ALK TKI. TKI therapy was associated with similar BrM burden but smaller individual lesions that were more likely to be exclusive to the white matter where drug concentrations might be significantly lower. These findings suggest that suboptimal drug CNS distribution in the white matter may underly brain progression of ALK+ NSCLC despite TKI therapy. Spatial analyses evaluating ALK TKIs of varying CNS penetrance and later disease time points in more granular anatomic regions are ongoing.

Citation Format: Tia Cheunkarndee, Paola Ganem, Kristen A. Marrone, Joseph C. Murray, Josephine L. Feliciano, Christine L. Hann, Susan C. Scott, David Ettinger, Valsamo Anagnostou, Patrick M. Forde, Julie R. Brahmer, Benjamin P. Levy, Vincent Lam, David O. Kamson. Distinct spatial distribution patterns of ALK-inhibitor naïve versus ALK-inhibitor treated ALK-positive NSCLC brain metastases. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4483.

Abstract 1393: Persistent mutation burden drives sustained anti-tumor immune responses in human cancers

INTRODUCTION: Tumor mutation burden (TMB) is a commonly used biomarker for cancer immunotherapy however TMB only partially captures tumor foreignness. We hypothesized that mutations in single-copy regions of the genome or mutations present in multiple copies (hereafter referred to as persistent mutations) are retained during cancer evolution and immunoediting, may render the tumor continuously visible to the immune system and promote sustained tumor control during immune checkpoint blockade (ICB).

METHODS: We performed pan-cancer analyses of whole exome sequencing data across 31 tumor types in TCGA to quantify the landscape of persistent mutations (n=9,242). We then evaluated the association between persistent tumor mutation burden (pTMB) and ICB response compared to TMB in eight ICB-treated cohorts of patients with NSCLC, melanoma, mesothelioma, and head and neck cancer (n=524). To investigate the clonal evolution of persistent mutations we serially analyzed whole exome sequence data from NSCLCs prior to and at emergence of acquired resistance to ICB. Finally, we evaluated the composition of the tumor microenvironment (TME) in baseline and on-ICB melanomas by RNA sequencing differential enrichment analyses and deconvolution.

RESULTS: Integration of sequence alterations in only-copy and multi-copy states for 9,242 tumors across 31 tumor types revealed a cancer lineage-dependent distribution of persistent mutations that was largely independent of the overall TMB. In evaluating differential classification based on pTMB- vs TMB-high, we found re-classification rates as high as 53% in individual tumor types, with a median reclassification rate of 33% across all tumor types (range 15% - 53%). We then evaluated the clonal composition of persistent mutations and found a wide range of correlations between pTMB and fraction of clonal mutations (Spearman ρ range: -0.11 - 0.59). In ICB-treated cohorts, pTMB better distinguished responding tumors compared to TMB, and a number of mutation and copy-number related features including tumor aneuploidy (melanoma: Mann-Whitney p=2.3e-06, NSLC: p&lt;2.0e-03, mesothelioma p=0.03, HNSCC p=0.05). Using in silico simulations, we found a similar advantage for pTMB when estimated from gene-panel targeted next generation sequencing. To support the biological plausibility of pTMB in the context of tumor evolution, we evaluated the rate loss of persistent mutations in longitudinal analyses of pre- and post-ICB NSCLC and found that a rate of loss significantly lower for persistent compared to loss-prone mutations (odds ratio 61.43, p&lt;2.2e-16). Consistent with our hypothesis, pTMB-high tumors had a more inflamed TME (p&lt;1e-11).

CONCLUSIONS: Persistent mutations represent a biologically distinct subset within the overall TMB that is unlikely to be lost under selective pressure of ICB and may function as an intrinsic driver of sustained immunologic tumor control.

Citation Format: Noushin Niknafs, Archana Balan, Christopher Cherry, Karlijn Hummelink, Kim Monkhorst, Xiaoshan M. Shao, Zineb Belcaid, Kristen A. Marrone, Joseph Murray, Kellie N. Smith, Benjamin Levy, Josephine Feliciano, Christine L. Hann, Vincent Lam, Drew M. Pardoll, Rachel Karchin, Tanguy Y. Seiwert, Julie R. Brahmer, Patrick M. Forde, Victor E. Velculescu, Valsamo K. Anagnostou. Persistent mutation burden drives sustained anti-tumor immune responses in human cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1393.

Plain language summary of the CheckMate 816 study results: nivolumab plus chemotherapy given before surgery for non-small-cell lung cancer

WHAT IS THIS SUMMARY ABOUT?

In this article, we summarize results from the ongoing phase 3 CheckMate 816 clinical study that were published in The New England Journal of Medicine in 2022. The goal of CheckMate 816 was to find out if nivolumab, an immunotherapy that activates a person's immune system (the body's natural defense system) to fight cancer, plus chemotherapy works better than chemotherapy alone when given before surgery in people with non-small-cell lung cancer (NSCLC) that can be removed surgically (resectable NSCLC).

WHAT HAPPENED IN THE STUDY?

Adults who had not previously taken medications to treat NSCLC and whose cancer could be removed with surgery were included in CheckMate 816. During this study, a computer randomly assigned the treatment each person would receive before surgery for NSCLC. In total, 179 people were randomly assigned to receive nivolumab plus chemotherapy, and 179 people were randomly assigned to receive chemotherapy alone. The researchers assessed whether people who received nivolumab plus chemotherapy lived longer without the cancer geting worse or coming back and whether there were any cancer cells left in the tumor and lymph nodes removed by surgery. The researchers also assessed how adding nivolumab to chemotherapy affected the timing and outcomes of surgery and whether the combination of these drugs was safe.

WHAT WERE THE RESULTS?

Researchers found that people who took nivolumab plus chemotherapy lived longer without the cancer getting worse or coming back compared with those who took chemotherapy alone. More people in the nivolumab plus chemotherapy group had no cancer cells left in the tumor and lymph nodes removed by surgery. Most people went on to have surgery in both treatment groups; the people who took nivolumab plus chemotherapy instead of chemotherapy alone had less extensive surgeries and were more likely to have good outcomes after less extensive surgeries. Adding nivolumab to chemotherapy did not lead to an increase in the rate of side effects compared with chemotherapy alone, and side effects were generally mild and manageable.

WHAT DO THE RESULTS OF THE STUDY MEAN?

Results from CheckMate 816 support the benefit of using nivolumab plus chemotherapy before surgery for people with resectable NSCLC. Clinical Trial Registration: NCT02998528 (ClinicalTrials.gov).

Five-Year Clinical Outcomes after Neoadjuvant Nivolumab in Resectable Non-Small Cell Lung Cancer

PURPOSE

Neoadjuvant anti-PD-1 therapy has shown promise for resectable non-small cell lung cancer (NSCLC). We reported the first phase I/II trial of neoadjuvant nivolumab in resectable NSCLC, finding it to be safe and feasible with encouraging major pathological responses (MPR). We now present 5-year clinical outcomes from this trial, representing to our knowledge, the longest follow-up data for neoadjuvant anti-PD-1 in any cancer type.

PATIENTS AND METHODS

Two doses of nivolumab (3 mg/kg) were administered for 4 weeks before surgery to 21 patients with Stage I-IIIA NSCLC. 5-year recurrence-free survival (RFS), overall survival (OS), and associations with MPR and PD-L1, were evaluated.

RESULTS

With a median follow-up of 63 months, 5-year RFS and OS rates were 60% and 80%, respectively. The presence of MPR and pre-treatment tumor PD-L1 positivity (TPS ≥1%) each trended toward favorable RFS; HR, 0.61 [95% confidence interval (CI), 0.15-2.44] and HR, 0.36 (95% CI, 0.07-1.85), respectively. At 5-year follow-up, 8 of 9 (89%) patients with MPR were alive and disease-free. There were no cancer-related deaths among patients with MPR. In contrast, 6/11 patients without MPR experienced tumor relapse, and 3 died.

CONCLUSIONS

Five-year clinical outcomes for neoadjuvant nivolumab in resectable NSCLC compare favorably with historical outcomes. MPR and PD-L1 positivity trended toward improved RFS, though definitive conclusions are limited by cohort size.

Persistent mutation burden drives sustained anti-tumor immune responses

Tumor mutation burden is an imperfect proxy of tumor foreignness and has therefore failed to consistently demonstrate clinical utility in predicting responses in the context of immunotherapy. We evaluated mutations in regions of the genome that are unlikely to undergo loss in a pan-cancer analysis across 31 tumor types (n = 9,242) and eight immunotherapy-treated cohorts of patients with non-small-cell lung cancer, melanoma, mesothelioma, and head and neck cancer (n = 524). We discovered that mutations in single-copy regions and those present in multiple copies per cell constitute a persistent tumor mutation burden (pTMB) which is linked with therapeutic response to immune checkpoint blockade. Persistent mutations were retained in the context of tumor evolution under selective pressure of immunotherapy and tumors with a high pTMB content were characterized by a more inflamed tumor microenvironment. pTMB imposes an evolutionary bottleneck that cancer cells cannot overcome and may thus drive sustained immunologic tumor control in the context of immunotherapy.

Definitive Chemoradiation and Durvalumab Consolidation for Locally Advanced, Unresectable KRAS-mutated Non-Small Cell Lung Cancer

BACKGROUND

Consolidation durvalumab immunotherapy following definitive chemoradiation (CRT) for unresectable stage III non-small cell lung cancer (NSCLC) improves overall survival. As therapeutic options for patients with KRAS-driven disease evolve, more understanding regarding genomic determinants of response and patterns of progression for durvalumab consolidation is needed to optimize outcomes.

METHODS

We conducted a single-institutional retrospective analysis of real-world patients with locally advanced, unresectable NSCLC who completed CRT and received durvalumab consolidation. Kaplan-Meier analyses compared progression-free survival (PFS) and overall survival (OS) from start of durvalumab consolidation between patients with KRAS-mutated and non-mutated tumors. Fisher's exact test was used to compare rates of intrathoracic or extrathoracic progression.

RESULTS

Of 74 response-evaluable patients, 39 had clinical genomic profiling performed. 18 patients had tumors with KRAS mutations, 7 patients had tumors with non-KRAS actionable alterations (EGFR, ALK, ERBB2, BRAF, MET, RET, or ROS1), and 14 patients had tumors without actionable alterations. Median PFS for the overall cohort was 16.1 months. PFS for patients with KRAS-mutated NSCLC was 12.6 months versus 12.7 months for patients with non-actionable tumors (P= 0.77, log-rank). Fisher's exact test revealed a statistically significantly higher rate of extrathoracic progression versus intrathoracic-only progression for patients with KRAS-driven disease compared to patients with non-actionable tumors (P= 0.015).

CONCLUSION

Patients with KRAS-mutated NSCLC derived similar benefit from durvalumab as patients with non-actionable tumors. A higher rate of extrathoracic progression was also observed among the patients with KRAS-mutated NSCLC compared to patients with non-actionable tumors. This highlights the potential unmet needs for novel systemic therapies and surveillance methods for KRAS-mutated stage III NSCLC.

Murine fecal microbiota transfer models selectively colonize human microbes and reveal transcriptional programs associated with response to neoadjuvant checkpoint inhibitors

Human gut microbial species found to associate with clinical responses to immune checkpoint inhibitors (ICIs) are often tested in mice using fecal microbiota transfer (FMT), wherein tumor responses in recipient mice may recapitulate human responses to ICI treatment. However, many FMT studies have reported only limited methodological description, details of murine cohorts, and statistical methods. To investigate the reproducibility and robustness of gut microbial species that impact ICI responses, we performed human to germ-free mouse FMT using fecal samples from patients with non-small cell lung cancer who had a pathological response or nonresponse after neoadjuvant ICI treatment. R-FMT mice yielded greater anti-tumor responses in combination with anti-PD-L1 treatment compared to NR-FMT, although the magnitude varied depending on mouse cell line, sex, and individual experiment. Detailed investigation of post-FMT mouse microbiota using 16S rRNA amplicon sequencing, with models to classify and correct for biological variables, revealed a shared presence of the most highly abundant taxa between the human inocula and mice, though low abundance human taxa colonized mice more variably after FMT. Multiple Clostridium species also correlated with tumor outcome in individual anti-PD-L1-treated R-FMT mice. RNAseq analysis revealed differential expression of T and NK cell-related pathways in responding tumors, irrespective of FMT source, with enrichment of these cell types confirmed by immunohistochemistry. This study identifies several human gut microbial species that may play a role in clinical responses to ICIs and suggests attention to biological variables is needed to improve reproducibility and limit variability across experimental murine cohorts.

Anti-RA33 antibodies are present in a subset of patients with immune checkpoint inhibitor-induced inflammatory arthritis

OBJECTIVE

Patients with inflammatory arthritis (IA) associated with immune checkpoint inhibitor (ICI) treatment for cancer are typically seronegative for anti-cyclic citrullinated peptide (CCP) antibodies and rheumatoid factor, but little is known about the presence of other autoantibodies in this patient population. We investigated the prevalence and characteristics of anti-RA33 antibodies in patients with ICI-induced IA.

METHODS

Anti-RA33 ELISAs were performed on sera from four groups of patients: 79 with ICI-induced IA, 52 with rheumatoid arthritis (RA), 35 treated with ICIs without IA during follow-up and 50 healthy controls. Anti-RA33 positivity and level, clinical and demographic data were compared across groups.

RESULTS

Anti-RA33 antibodies were found in 9/79 (11.4%) patients with ICI-induced IA but in 0/35 patients treated with ICIs who did not develop IA (0%; p=0.04). Of the patients positive for anti-RA33, two had sera available from before ICI treatment; anti-RA33 antibodies were present in both pre-ICI treatments. In patients with RA, 7.7% were positive for anti-RA33 antibodies as were 2% of healthy controls. In ICI-induced IA, anti-RA33 antibodies were associated with anti-CCP antibodies (p=0.001). We found no statistically significant differences in other clinical characteristics in those with and without anti-RA33 antibodies.

CONCLUSIONS

Anti-RA33 antibodies are present in a subset of patients with ICI-induced IA, absent in other ICI-treated patients and may be a biomarker for developing IA. Additional studies evaluating serial samples before and after ICI treatment will further establish the temporal relationship of these antibodies to IA development.

A New Approach to Simplifying and Harmonizing Cancer Clinical Trials-Standardizing Eligibility Criteria

Importance

Clinical trial sponsors rely on eligibility criteria to control the characteristics of patients in their studies, promote the safety of participants, and optimize the interpretation of results. However, in recent years, complex and often overly restrictive inclusion and exclusion criteria have created substantial barriers to patient access to novel therapies, hindered trial recruitment and completion, and limited generalizability of trial results. A LUNGevity Foundation working group developed a framework for lung cancer clinical trial eligibility criteria. The goals of this framework are to (1) simplify eligibility criteria, (2) facilitate stakeholders' (patients, clinicians, and sponsors) search for appropriate trials, and (3) harmonize trial populations to support intertrial comparisons of treatment effects.

Observations

Clinicians and representatives from the pharmaceutical industry, the National Cancer Institute, the US Food and Drug Administration (FDA), the European Medicines Agency, and the LUNGevity Foundation undertook a process to identify and prioritize key items for inclusion in trial eligibility criteria. The group generated a prioritized library of terms to guide investigators and sponsors in the design of first-line, advanced non-small cell lung cancer clinical trials intended to support marketing application. These recommendations address disease stage and histologic features, enrollment biomarkers, performance status, organ function, brain metastases, and comorbidities. This effort forms the basis for a forthcoming FDA draft guidance for industry.

Conclusions and Relevance

As an initial step, the recommended cross-trial standardization of eligibility criteria may harmonize trial populations. Going forward, by connecting diverse stakeholders and providing formal opportunity for public input, the emerging FDA draft guidance may also provide an opportunity to revise and simplify long-standing approaches to trial eligibility. This work serves as a prototype for similar efforts now underway for other cancers.

Clinical Features, Survival, and Burden of Toxicities in Survivors More Than One Year After Lung Cancer Immunotherapy

INTRODUCTION

Anti-PD-(L)1 immune checkpoint inhibitors (ICI) improve survival in patients with advanced non-small cell lung cancer (aNSCLC). The clinical features, survival, and burden of toxicities of patients with aNSCLC alive >1 year from ICI initiation are poorly understood.

MATERIALS AND METHODS

We defined ICI survivors as patients alive >1 year after ICI start and retrospectively reviewed demographics, treatment, and immune-related adverse events (irAEs). Long-term irAEs were defined as ongoing irAEs lasting >1 year; burden of toxicity measures were based on percentage of days a patient experienced toxicity. Using linear and logistic regression, we evaluated association between demographics and disease characteristics with burden of toxicity.

RESULTS

We identified 114 ICI survivors from 317 patients with aNSCLC. Half (52%) experienced an irAE of any grade, and 23.7% developed long-term irAEs. More ICI survivors with irAES in the first year had never smoked (P = .018) or received ICIs as frontline therapy (P = .015). The burden of toxicity in the first year significantly correlated with the burden of toxicity afterward (ρ = 0.72; P < .001). No patients with progressive disease had a high burden of toxicity, and they experienced 30.6% fewer days with toxicity than those with stable disease. Increased duration of therapy was associated with higher odds of experiencing toxicity. Half of ICI survivors with irAEs were still receiving treatment for unresolved irAEs at time of death or last follow-up.

CONCLUSION

Significant proportions of ICI survivors have unresolved long-term toxicities. These data support a growing need to understand long-term toxicity to optimize management of those treated with ICIs.

Sex-specific differences in immunogenomic features of response to immune checkpoint blockade

Introduction

The magnitude of response to immune checkpoint inhibitor (ICI) therapy may be sex-dependent, as females have lower response rates and decreased survival after ICI monotherapy. The mechanisms underlying this sex dimorphism in ICI response are unknown, and may be related to sex-driven differences in the immunogenomic landscape of tumors that shape anti-tumor immune responses in the context of therapy.

Methods

To investigate the association of immunogenic mutations with HLA haplotypes, we leveraged whole exome sequence data and HLA genotypes from 482 non-small cell lung cancer (NSCLC) tumors from The Cancer Genome Atlas (TCGA). To explore sex-specific genomic features linked with ICI response, we analyzed whole exome sequence data from patients with NSCLC treated with ICI. Tumor mutational burden (TMB), HLA class I and II restricted immunogenic missense mutation (IMM) load, and mutational smoking signature were defined for each tumor. IMM load was combined with HLA class I and II haplotypes and correlated with therapeutic response and survival following ICI treatment. We examined rates of durable clinical benefit (DCB) for at least six months from ICI treatment initiation. Findings were validated utilizing whole exome sequence data from an independent cohort of ICI treated NSCLC.

Results

Analysis of whole exome sequence data from NSCLC tumors of females and males revealed that germline HLA class II diversity (≥9 unique HLA alleles) was associated with higher tumor class II IMM load in females (p=0.01) and not in males (p=0.64). Similarly, in tumors of female patients, somatic HLA class II loss of heterozygosity was associated with increased IMM load (p=0.01) while this association was not observed in tumors in males (p=0.20). In females, TMB (p=0.005), class I IMM load (p=0.005), class II IMM load (p=0.004), and mutational smoking signature (p<0.001) were significantly higher in tumors responding to ICI as compared to non-responding tumors. In contrast, among males, there was no significant association between DCB and any of these features. When IMM was considered in the context of HLA zygosity, high MHC-II restricted IMM load and high HLA class II diversity was significantly associated with overall survival in males (p=0.017).

Conclusions

Inherent sex-driven differences in immune surveillance affect the immunogenomic determinants of response to ICI and likely mediate the dimorphic outcomes with ICI therapy. Deeper understanding of the selective pressures and mechanisms of immune escape in tumors in males and females can inform patient selection strategies and can be utilized to further hone immunotherapy approaches in cancer.

Neoadjuvant immunotherapy of locoregionally advanced solid tumors

Definitive management of locoregionally advanced solid tumors presents a major challenge and often consists of a combination of surgical, radiotherapeutic and systemic therapy approaches. Upfront surgical treatment with or without adjuvant radiotherapy carries the risks of significant morbidities and potential complications that could be lasting. In addition, these patients continue to have a high risk of local or distant disease relapse despite the use of standard adjuvant therapy. Preoperative neoadjuvant systemic therapy has the potential to significantly improve clinical outcomes, particularly in this era of expanding immunotherapeutic agents that have transformed the care of patients with metastatic/unresectable malignancies. Tremendous progress has been made with neoadjuvant immunotherapy in the treatment of several locoregionally advanced resectable solid tumors leading to ongoing phase 3 trials and change in clinical practice. The promise of neoadjuvant immunotherapy has been supported by the high pathologic tumor response rates in early trials as well as the durability of these responses making cure a more achievable potential outcome compared with other forms of systemic therapy. Furthermore, neoadjuvant studies allow the assessment of radiologic and pathological responses and the access to biospecimens before and during systemic therapy. Pathological responses may guide future treatment decisions, and biospecimens allow the conduct of mechanistic and biomarker studies that may guide future drug development. On behalf of the National Cancer Institute Early Drug Development Neoadjuvant Immunotherapy Working Group, this article summarizes the current state of neoadjuvant immunotherapy of solid tumors focusing primarily on locoregionally advanced melanoma, gynecologic malignancies, gastrointestinal malignancies, non-small cell lung cancer and head and neck cancer including recent advances and our expert recommendations related to future neoadjuvant trial designs and associated clinical and translational research questions.

An Oncology Urgent Care Clinic for the Management of Immune-Related Adverse Events: A Descriptive Analysis

Introduction: With the increasing use of immune checkpoint inhibitors (ICI) for cancer, there is a growing burden on the healthcare system to provide care for the toxicities associated with these agents. Herein, we aim to identify and describe the distribution of encounters seen in an urgent care setting for immune-related adverse events (irAEs) and the clinical outcomes from irAE management. Methods: Patient demographics, disease characteristics, and treatment data were collected retrospectively from encounters at an oncology Urgent Care Clinic (UCC) from a single tertiary center for upper aerodigestive malignancies from 1 July 2018 to 30 June 2019. Data were summarized using descriptive statistics with odds ratios for associations between patient features and hospitalization after UCC evaluation. Results: We identified 494 encounters from 289 individual patients over the study period. A history of ICI therapy was noted in 34% (n = 170/494) of encounters and 29 encounters (29/170, 17%) were confirmed and treated as irAEs. For those treated for irAEs, the majority (n = 19/29; 66%) were discharged home. Having an irAE was associated with an increased risk of hospitalization compared to non-irAEs (OR 5.66; 95% CI 2.15−14.89; p < 0.001). Conclusion: In this single institution experience, the majority of UCC encounters for confirmed irAEs were safely managed within the UCC. In ICI-treated patients, having an irAE was associated with an increased risk of hospitalization versus non-irAEs.

Abstract 2477: PD-L1 PET quantifies the pharmacodynamic effects of immunotherapy

Introduction: Immune checkpoint protein targeted therapeutics have transformed cancer treatment but only a subset of patients derive benefit. To improve efficacy, a variety of combination therapies are being studied. Programmed death ligand-1 (PD-L1) immunohistochemistry (IHC) is used as a biomarker to guide many of those therapies. Non-invasive evaluation of therapy induced changes in PD-L1 levels in the whole body could provide insights to guide those therapies. Here, we investigated the potential of [18F]DK222, a novel PD-L1 binding positron emission tomography (PET) imaging agent, to quantify PD-L1 levels and pharmacodynamics in humanized mouse modes.

Methods: Non-small cell lung cancer (NSCLC), urothelial carcinoma (UC) and melanoma cell lines were screened by flow cytometry (FC) for PD-L1 expression and density. In vitro cell uptake assays, in vivo PET imaging and ex vivo biodistribution studies were used to evaluate the specificity of [18F]DK222 to bind PD-L1 (n=5-6/tumor). To quantify immunotherapy induced changes in PD-L1, A375 melanoma xenografts were inoculated in NSG mice humanized with CD34+ cells. Mice were treated with either 5 mg/kg anti- PD-1; (pembrolizumab) or 5 mg/kg of anti-PD-1 + 4 mg/kg of anti- CTLA-4 (ipilimumab) (n=5) and [18F]DK222 PET was acquired before and 7 days after start of treatment. Tumor growth was monitored. FC of tumors was performed to measure changes in TME and immune cell infiltrates.

Results: In vitro uptake of [18F]DK222 in NSCLC (H244 &gt; H226 &gt; A549) and UC (BFTC909 &gt; T24 &gt; SCaBER) correlated with PD-L1 density (R2=0.96). [18F]DK222 PET and biodistribution studies in mice with NSCLC and UC xenografts revealed high and variable tumor uptake at 60 min, which was in agreement with PD-L1 levels detected by IHC. These data established sensitivity of [18F]DK222 PET to quantify variable PD-L1 levels in vivo. We next sought to quantify therapy induced changes in PD-L1 levels. We observed higher [18F]DK222 uptake in tumors of mice treated with combination therapy compared to monotherapy (1.83 vs 0.47 %ID/cc). A significant delay in tumor growth was observed with combination therapy compared to monotherapy. Two out of five mice with highest increase in [18F]DK222 uptake in combination therapy group exhibited least tumor growth. Also, final tumor volumes negatively correlated with [18F]DK222 uptake (R2=0.33) irrespective of treatment regimen. FC analysis showed higher immune infiltrates (1320 vs 230 per milligram of tumor), PD-L1+ cells (6005 vs 2739/mg) and ratio of CD8+ to CD4+ cells (1.94 vs 0.47) in tumors treated with combination therapy compared with monotherapy. These observations confirmed that immunotherapy induced changes in PD-L1 levels in tumors can be quantified using [18F]DK222 PET.

Conclusion: [18F]DK222 PET can effectively quantify variable PD-L1 levels in tumors. Moreover, [18F]DK222 PET exhibits the sensitivity to quantify PD-L1 pharmacodynamics to inform on tumor response to therapy.

Citation Format: Akhilesh Mishra, Dhiraj Kumar, Kuldeep Gupta, Patrick M. Forde, Edward Gabrielson, Sridhar Nimmagadda. PD-L1 PET quantifies the pharmacodynamic effects of immunotherapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2477.

Abstract 463: Highly accurate machine learning assessment of immune-related pathologic response criteria (irPRC) scoring in patients with non-small cell lung carcinoma (NSCLC) treated with neoadjuvant anti-PD-1-based therapies

Pathological complete response (no residual viable tumor, RVT) and/or major pathologic response (≤10% RVT) are now primary or secondary endpoints for a large proportion of clinical trials studying neoadjuvant immunotherapeutic regimens. We previously developed a scoring system for assessing pathologic response after immunotherapy, termed irPRC (Cottrell et al. Ann Oncol 2018). By these criteria, %RVT is assessed by dividing RVT by the sum of the surface area on the slide composed of RVT + necrosis + regression bed– the latter feature is where the tumor used to be and is characterized by fibroinflammatory stroma that is distinct from tumoral stroma. We have previously reported high inter-observer reproducibility for pathologic response assessment following immunotherapy. However, these assessments involve performing evaluations that are currently outside the scope of routine surgical pathology training and may be time-consuming. To date, these assessments have primarily been performed by academic pathologists who have seen the largest number of these cases as a part of clinical trials. A machine learning (ML)-powered assessment of irPRC would allow for faster, standardized evaluation and expanded access to patients treated outside of large academic centers. We trained a supervised convolutional neural network to assess pathologic response using irPRC on n=92 H&E-stained slides from patients with advanced, resectable NSCLC treated with neoadjuvant anti-PD-1 +/- anti-CTLA-4 at a single institution. The ML algorithm was trained based on ground-truth manual annotations by pathologists on whole slide digital scans and tested using leave-one-out cross validation. Each of ~830,000 image tiles was classified into one of four classes: tumor, necrosis, immune-mediated regression, or background lung tissue. Receiver operating curves showed that the algorithm exhibited high accuracy for predicting the various tissue classes with an area under the curve of 0.95, 0.96, 0.90, and 0.90 for the four classes, respectively. %RVT was calculated by dividing the surface area of RVT by total tumor bed surface area (RVT + necrosis + regression). There was a strong positive correlation between the machine assessed RVT and the human assessed RVT at both the slide level and case level (aggregate %RVT based on surface area from all slides for a given patient), Pearson’s r=0.95 and r=0.99, respectively. Here, we demonstrate that a ML algorithm performs as well as an experienced pathologist assessment in scoring pathologic response. These findings will need to be validated in larger studies. Additionally, the association of pathologic response with longer term patient outcomes will be evaluated as survival data matures to determine whether pathologic response is a robust surrogate of survival.

Citation Format: Julie E. Stein, Vinay Pulim, Tricia R. Cottrell, Patrick M. Forde, Janis M. Taube. Highly accurate machine learning assessment of immune-related pathologic response criteria (irPRC) scoring in patients with non-small cell lung carcinoma (NSCLC) treated with neoadjuvant anti-PD-1-based therapies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 463.

Neoadjuvant nivolumab (NIVO) + platinum-doublet chemotherapy (chemo) versus chemo for resectable (IB–IIIA) non-small cell lung cancer (NSCLC): Association of pathological regression with event-free survival (EFS) in CheckMate 816

LBA8511

Background: Several studies have shown an association of pathological response, a common efficacy endpoint in neoadjuvant therapy trials, with survival for chemo in various cancers including resectable NSCLC. However, the association between pathological complete response (pCR) and survival as well as the degree of pathological regression that may be predictive of EFS for neoadjuvant immunotherapy has not been rigorously studied. CheckMate 816 (NCT02998528), a randomized phase 3 study of neoadjuvant NIVO + chemo vs chemo in resectable NSCLC, met both of its primary endpoints with a statistically significant and clinically meaningful improvement in EFS and pCR. Here, we report a post hoc analysis from CheckMate 816, characterizing the association between pathological regression and EFS. Methods: Adults with resectable NSCLC were randomized to NIVO 360 mg + platinum-doublet chemo Q3W or chemo alone Q3W for 3 cycles. Primary endpoints were EFS and pCR (0% residual viable tumor [RVT] in the primary tumor [PT] and lymph nodes [LN] based on immune-related pathological response criteria), both assessed by blinded independent review. Major pathological response (MPR; ≤10% RVT in the PT and LN) was a secondary endpoint. In this post hoc analysis, EFS was assessed based on depth of pathological regression (measured by %RVT) in the PT only. Also, a time-dependent receiver operating characteristic curve analysis assessed the predictive ability of %RVT (PT only) for EFS outcome at 2 years, using area under the curve (AUC) to summarize the overall diagnostic accuracy (0.5 = random chance; 1 = perfect accuracy). Results: Baseline characteristics in patients (pts) with pathologically evaluable samples were well balanced between the NIVO + chemo and chemo arms, similar to the overall population. In both treatment arms, EFS (minimum follow-up, 21 months) was improved in pts with vs without pCR or MPR (Table). %RVT appeared to be predictive of EFS at 2 years for NIVO + chemo (AUC = 0.74) but an association was not clear for chemo (AUC = 0.54). 2-year EFS rates for NIVO + chemo were 90%, 60%, 57%, and 39% for pts with 0–5%, >5–30%, >30–80%, and >80% RVT, respectively. Conclusions: In CheckMate 816, pathological response (pCR and MPR) in the PT was associated with improved EFS with neoadjuvant NIVO + chemo. Additionally, depth of pathological regression appeared to be predictive of improved EFS. Clinical trial information: NCT02998528. [Table: see text]

Tumor-induced double positive T cells display distinct lineage commitment mechanisms and functions

Transcription factors ThPOK and Runx3 regulate the differentiation of "helper" CD4+ and "cytotoxic" CD8+ T cell lineages respectively, inducing single positive (SP) T cells that enter the periphery with the expression of either the CD4 or CD8 co-receptor. Despite the expectation that these cell fates are mutually exclusive and that mature CD4+CD8+ double positive (DP) T cells are present in healthy individuals and augmented in the context of disease, yet their molecular features and pathophysiologic role are disputed. Here, we show DP T cells in murine and human tumors as a heterogenous population originating from SP T cells which re-express the opposite co-receptor and acquire features of the opposite cell type's phenotype and function following TCR stimulation. We identified distinct clonally expanded DP T cells in human melanoma and lung cancer by scRNA sequencing and demonstrated their tumor reactivity in cytotoxicity assays. Our findings indicate that antigen stimulation induces SP T cells to differentiate into DP T cell subsets gaining in polyfunctional characteristics.

Society for Immunotherapy of Cancer (SITC) clinical practice guideline on immunotherapy for the treatment of lung cancer and mesothelioma

Immunotherapy has transformed lung cancer care in recent years. In addition to providing durable responses and prolonged survival outcomes for a subset of patients with heavily pretreated non-small cell lung cancer (NSCLC), immune checkpoint inhibitors (ICIs)— either as monotherapy or in combination with other ICIs or chemotherapy—have demonstrated benefits in first-line therapy for advanced disease, the neoadjuvant and adjuvant settings, as well as in additional thoracic malignancies such as small-cell lung cancer (SCLC) and mesothelioma. Challenging questions remain, however, on topics including therapy selection, appropriate biomarker-based identification of patients who may derive benefit, the use of immunotherapy in special populations such as people with autoimmune disorders, and toxicity management. Patient and caregiver education and support for quality of life (QOL) is also important to attain maximal benefit with immunotherapy. To provide guidance to the oncology community on these and other important concerns, the Society for Immunotherapy of Cancer (SITC) convened a multidisciplinary panel of experts to develop a clinical practice guideline (CPG). This CPG represents an update to SITC’s 2018 publication on immunotherapy for the treatment of NSCLC, and is expanded to include recommendations on SCLC and mesothelioma. The Expert Panel drew on the published literature as well as their clinical experience to develop recommendations for healthcare professionals on these important aspects of immunotherapeutic treatment for lung cancer and mesothelioma, including diagnostic testing, treatment planning, immune-related adverse events, and patient QOL considerations. The evidence- and consensus-based recommendations in this CPG are intended to give guidance to cancer care providers using immunotherapy to treat patients with lung cancer or mesothelioma.

Peripheral blood immune cell dynamics reflect antitumor immune responses and predict clinical response to immunotherapy

BACKGROUND

Despite treatment advancements with immunotherapy, our understanding of response relies on tissue-based, static tumor features such as tumor mutation burden (TMB) and programmed death-ligand 1 (PD-L1) expression. These approaches are limited in capturing the plasticity of tumor-immune system interactions under selective pressure of immune checkpoint blockade and predicting therapeutic response and long-term outcomes. Here, we investigate the relationship between serial assessment of peripheral blood cell counts and tumor burden dynamics in the context of an evolving tumor ecosystem during immune checkpoint blockade.

METHODS

Using machine learning, we integrated dynamics in peripheral blood immune cell subsets, including neutrophil-lymphocyte ratio (NLR), from 239 patients with metastatic non-small cell lung cancer (NSCLC) and predicted clinical outcome with immune checkpoint blockade. We then sought to interpret NLR dynamics in the context of transcriptomic and T cell repertoire trajectories for 26 patients with early stage NSCLC who received neoadjuvant immune checkpoint blockade. We further determined the relationship between NLR dynamics, pathologic response and circulating tumor DNA (ctDNA) clearance.

RESULTS

Integrated dynamics of peripheral blood cell counts, predominantly NLR dynamics and changes in eosinophil levels, predicted clinical outcome, outperforming both TMB and PD-L1 expression. As early changes in NLR were a key predictor of response, we linked NLR dynamics with serial RNA sequencing deconvolution and T cell receptor sequencing to investigate differential tumor microenvironment reshaping during therapy for patients with reduction in peripheral NLR. Reductions in NLR were associated with induction of interferon-γ responses driving the expression of antigen presentation and proinflammatory gene sets coupled with reshaping of the intratumoral T cell repertoire. In addition, NLR dynamics reflected tumor regression assessed by pathological responses and complemented ctDNA kinetics in predicting long-term outcome. Elevated peripheral eosinophil levels during immune checkpoint blockade were correlated with therapeutic response in both metastatic and early stage cohorts.

CONCLUSIONS

Our findings suggest that early dynamics in peripheral blood immune cell subsets reflect changes in the tumor microenvironment and capture antitumor immune responses, ultimately reflecting clinical outcomes with immune checkpoint blockade.

Clinical and molecular characteristics of advanced esophageal/GEJ cancer with brain metastasis

e16092

Background: Brain metastasis (BRM) in gastroesophageal (GE) cancer is uncommon, but contributes to poor prognosis and significant symptom burden. While HER2 overexpression has been suggested as a potential driver of BRM, clinicopathologic and molecular determinants of BRM in GE cancer and their impact on clinical outcome remain incompletely understood. Methods: We retrospectively analyzed clinicopathologic data from 323 advanced esophageal/GEJ patients (pts) at Johns Hopkins from 2003 to 2021. Univariate and multivariate logistic regression were performed to investigate the association between several clinical and molecular features and the occurrence of BRM, with particular focus on HER2 overexpression (by IHC and FISH) and PD-L1 expression (by IHC) as measured by the combined positive score (CPS). Overall survival was estimated using the Kaplan-Meier method. Results: Median age was 64 and most pts were white (90.4%). Tumors were 73.7% esophageal primary, 82.7% adenocarcinoma, 43.8% HER2+, and 11.1% CPS ≥ 1. Cumulative incidence of BRM in overall cohort and within HER2+ subgroup was 14.6% (47 pts) and 25.4% (16 pts), respectively. Pts with BRM (not already present at time of stage IV diagnosis) had median onset of 10.8 months. Seventeen (36.2%) pts had a solitary brain lesion and 10 (21.7%) were asymptomatic. On univariate analysis, adenocarcinoma and HER2 overexpression were associated with increased risk of BRM (OR 3.45; 95% CI 0.09-0.96; p = 0.043 and OR 2.72; 95% CI 1.11-6.67; p = 0.028, respectively). Notably, the HER2 association was strengthened when HER2 equivocal tumors were re-classified as positive in an exploratory analysis (OR 3.55; 95% CI 1.38-9.14; p = 0.009). Adenocarcinoma and HER2 overexpression were collinear in the multivariate model. In pts with BRM, OS was improved in HER2+ pts (16.72 months; 95% CI 12.3-21.1 months; log-rank p = 0.039 and OR 0.33; 95% CI 0.11-0.99; Cox regression p = 0.049). CPS and primary tumor location were not associated with increased BRM. Conclusions: HER2 overexpression identifies an esophageal/GEJ molecular subtype that is significantly associated with increased risk of BRM; though with improved OS (compared to non-HER2+ BRM) and later onset CNS progression, likely reflecting durable extra-CNS control on targeted systemic therapy and a potential HER2+ subgroup with relatively indolent biology. Prevalence of asymptomatic and solitary brain lesions supports increased brain surveillance for this population.

Phase 2 randomized trial of neoadjuvant or palliative chemotherapy with or without immunotherapy for peritoneal mesothelioma (Alliance A092001)

TPS8598

Background: Peritoneal mesothelioma is a rare and poorly studied disease with few treatment options. For patients who are not surgical candidates, treatment recommendations for systemic therapy have been extrapolated from clinical trials for pleural mesothelioma that commonly exclude patients with peritoneal mesothelioma. Recently, the combination of the PD-1 inhibitor nivolumab and the CTLA-4 inhibitor ipilimumab received FDA-approval for the frontline treatment of non-resectable pleural mesothelioma. Additionally, a prospective, non-randomized phase 2 trial demonstrated activity with combined PD-L1 (atezolizumab) and VEGF (bevacizumab) blockade in peritoneal mesothelioma. In parallel, encouraging activity with combined chemo-immunotherapy has been reported in pleural mesothelioma. Given the benefits observed with immunotherapy, and the potential to improve upon those with chemotherapy and VEGF inhibition, we seek to determine whether the addition of the PD-L1 inhibitor atezolizumab improves outcomes with chemotherapy and bevacizumab in patients with newly diagnosed peritoneal mesothelioma. Methods: A092001 is a prospective, randomized phase 2 clinical trial. All patients with newly diagnosed peritoneal mesothelioma will be randomized 1:1 using a dynamic allocation Pocock-Simon procedure to receive carboplatin, pemetrexed, and bevacizumab, with or without atezolizumab, every 21 days for four cycles. Patients who are eligible to proceed with surgery after four cycles of therapy will then do so. Patients who are not eligible to proceed with surgery may receive maintenance bevacizumab and atezolizumab, or second-line atezolizumab with bevacizumab until progression of disease or toxicity. The primary objective is to determine whether frontline treatment with carboplatin, pemetrexed, bevacizumab and atezolizumab results in a superior best response rate (RR) to carboplatin, pemetrexed and bevacizumab as determined by RECIST. With 31 eligible patients per arm (62 eligible total), this randomized design has 80% power to detect an improvement in the RR from 20% to 45%, with a 1-sided significance level of 0.10 where an interim futility analysis will be conducted after 32 patients are enrolled. As stratification factors we have included eligibility for cytoreductive surgery at diagnosis, and histologic subtype. Secondary endpoints include assessment of progression-free survival, overall survival, and adverse events. As integrated biomarkers, we will determine if soluble mesothelin-related peptides and megakaryocyte potentiating factor correlate with responses. This trial was recently approved by the National Cancer Institute Central IRB and is activating at sites across the country. Support: U10CA180821, U10CA180882. Clinical trial information: NCT05001880.

DREAM3R: Durvalumab with chemotherapy as first-line treatment in advanced pleural mesothelioma—A phase 3 randomized trial

TPS8599

Background: Combination PD1/CTLA4 immune checkpoint blockade and platinum-pemetrexed (CP) chemotherapy are standard first-line options for the treatment of unresectable malignant pleural mesothelioma (MPM). Two recent, single-arm, phase 2 trials (DREAM and PrE0505) combining the PD-L1 inhibitor durvalumab and standard first line CP both exceeded pre-specified efficacy criteria. The Phase 3 DREAM3R trial aims to determine the effectiveness of including durvalumab with first line CP chemotherapy in advanced MPM. Methods: Treatment-naïve patients with advanced MPM will be randomized (2:1) to either durvalumab 1500 mg every 3 weeks plus chemotherapy (cisplatin 75 mg/m2 or carboplatin AUC 5 and pemetrexed 500 mg/m2) every 3 weeks for 4-6 cycles (Arm A), followed by durvalumab 1500 mg every 4 weeks until disease progression, unacceptable toxicity or patient withdrawal, versus doublet chemotherapy alone for 4-6 cycles with all patients monitored for progression. The target sample size is 480 patients recruited over 27 months, with follow up for an additional 24 months. This provides over 85% power if the true hazard ratio for overall survival (OS) is 0.70, with 2-sided alpha of 0.05, assuming a median OS of 15 months in the control group. Key eligibility criteria include: MPM of any histological subtype; measurable disease per RECIST 1.1 modified for mesothelioma (mRECIST 1.1); ECOG PS 0-1; and adequate hematologic, renal, and liver function. Exclusions: Prior systemic anticancer treatment for MPM, diagnosis based solely on cytology or fine needle aspiration biopsy, contraindication to immunotherapy or conditions requiring immunosuppressive agents or corticosteroids. Patients will be further stratified at randomization by: Age (18-70 years vs. > 70), sex, histology (epithelioid vs. non-epithelioid), planned platinum (cisplatin vs. carboplatin) and geographic region (USA vs. ANZ). The primary endpoint is OS. Secondary endpoints include progression-free survival; objective tumor response; adverse events; health-related quality of life; and healthcare resource use in ANZ. Tertiary correlative objectives aim to further explore and validate potential prognostic and/or predictive biomarkers (including those identified in the DREAM and PrE0505 studies, PD-L1 expression, tumor mutation burden, genomic characteristics, and HLA subtypes) via tissue and serial blood samples. An imaging databank will be assembled for validation of radiological measures of response, and studies of possible radiomic biomarkers in mesothelioma. The study is active and enrolling in both ANZ and in the US. Clinical trial information: NCT04334759 and ACTRN 12620001199909.