Highly variable timing renders immunotherapy efficacy and toxicity impractical biomarkers of one another in clinical practice.

Background: A useful clinical biomarker requires not only association but also a consistent temporal relationship. For instance, chemotherapy-induced neutropenia and epidermal growth-factor inhibitor-related acneiform rash both occur within weeks of treatment initiation, thereby providing information prior to efficacy assessment. Although immune checkpoint inhibitor (ICI)-associated immune-related adverse events (irAE) have been associated with therapeutic benefit, irAE may have delayed and highly variable onset. To determine whether ICI efficacy and irAE could serve as clinically useful biomarkers for predicting each other, we determined the temporal relationship between initial efficacy assessment and irAE onset in a diverse population treated with ICI. Methods: Using two-sided Fisher exact and Cochran-Armitage tests, we determined the relative timing of initial efficacy assessment and irAE occurrence in a cohort of 155 ICI-treated patients (median age 68 years, 40% women). Results: Initial efficacy assessment was performed a median of 50 days [interquartile range (IQR) 39-59 days] after ICI initiation; median time to any irAE was 77 days (IQR 28-145 days) after ICI initiation. Median time to first irAE was 42 days (IQR 20-88 days). Overall, 58% of any irAE and 47% of first irAE occurred after initial efficacy assessment. For clinically significant (grade ≥2) irAE, 60% of any and 53% of first occurred after initial efficacy assessment. The likelihood of any future irAE did not differ according to response (45% for complete or partial response vs. 47% for other cases; P=1). In landmark analyses controlling for clinical and toxicity follow-up, patients demonstrating greater tumor shrinkage at initial efficacy assessment were more likely to develop future grade ≥2 (P=0.05) and multi-organ (P=0.02) irAE. Conclusions: In contrast to that seen with chemotherapy and molecularly targeted therapies, the temporal relationship between ICI efficacy and toxicity is complex and bidirectional. In practice, neither parameter can be routinely relied on as a clinical biomarker to predict the other.

A review of perioperative treatment strategies with immunotherapy and tyrosine kinase inhibitors in resectable and stage IIIA-N2 non-small cell lung cancer.

Stage IIIA-N2 non-small cell lung cancer (NSCLC) is a heterogeneous group with different potential therapeutic approaches. Treatment is typically multimodal with either surgical resection after neoadjuvant chemotherapy and/or radiation or concurrent chemotherapy and radiation if unresectable. Despite the multimodal treatment and early stage, cure rates have traditionally been low. The introduction of immunotherapy changed the treatment landscape for NSCLC in all stages, and the introduction of immunotherapy in early-stage lung cancer has improved event free survival and overall survival. Tyrosine Kinase inhibitors (TKIs) have also improved outcomes in early-stage mutation-driven NSCLC. Optimal treatment choice and sequence is increasingly becoming based upon personalized factors including clinical characteristics, comorbidities, programmed death-ligand 1 (PD-L1) score, and the presence of targetable mutations. Despite encouraging data from multiple trials, the optimal multimodal sequence of stage IIIA-N2 NSCLC treatment remains unresolved and warrants further investigation. This review article summarizes recent major clinical trials of neoadjuvant and adjuvant treatment including stage IIIA-N2 NSCLC with a focus on immunotherapy and TKIs.

pan-MHC and cross-Species Prediction of T Cell Receptor-Antigen Binding.

Profiling the binding of T cell receptors (TCRs) of T cells to antigenic peptides presented by MHC proteins is one of the most important unsolved problems in modern immunology. Experimental methods to probe TCR-antigen interactions are slow, labor-intensive, costly, and yield moderate throughput. To address this problem, we developed pMTnet-omni, an Artificial Intelligence (AI) system based on hybrid protein sequence and structure information, to predict the pairing of TCRs of αß T cells with peptide-MHC complexes (pMHCs). pMTnet-omni is capable of handling peptides presented by both class I and II pMHCs, and capable of handling both human and mouse TCR-pMHC pairs, through information sharing enabled this hybrid design. pMTnet-omni achieves a high overall Area Under the Curve of Receiver Operator Characteristics (AUROC) of 0.888, which surpasses competing tools by a large margin. We showed that pMTnet-omni can distinguish binding affinity of TCRs with similar sequences. Across a range of datasets from various biological contexts, pMTnet-omni characterized the longitudinal evolution and spatial heterogeneity of TCR-pMHC interactions and their functional impact. We successfully developed a biomarker based on pMTnet-omni for predicting immune-related adverse events of immune checkpoint inhibitor (ICI) treatment in a cohort of 57 ICI-treated patients. pMTnet-omni represents a major advance towards developing a clinically usable AI system for TCR-pMHC pairing prediction that can aid the design and implementation of TCR-based immunotherapeutics.

Systemic immune parameters after prior radiation therapy in patients receiving immune checkpoint inhibitors.

INTRODUCTION: Preclinical studies have demonstrated the ability of radiation therapy (RT) to augment immune response and tumor control by immune checkpoint inhibitors (ICI). However, numerous clinical trials combining RT and ICI have yielded relatively disappointing results. To improve understanding of optimal use of these therapies, we assessed systemic immune effects of prior RT in patients receiving ICI. METHODS AND MATERIALS: Pre- and post-ICI blood samples were collected from patients enrolled in a prospective immunotherapy biospecimen protocol. Mutiplex panels of 40 cytokines and 120 autoantibodies (Ab) were analyzed. We identified differences in these parameters according to receipt, timing, and type of prior RT. We calculated P values using the Pearson product-moment correlation coefficient and false discovery rate (FDR) using the Benjamini-Hochberg Procedure. RESULTS: Among 277 total patients, 69 (25%) received RT in the 6 months prior to ICI initiation. Among RT-treated patients, 23 (33%) received stereotactic RT, and 33 (48%) received curative intent RT. There was no significant difference in demographics or type of immunotherapy between patients according to prior RT exposure. Baseline complement C8 Ab and MIP-1d/CCL15 were significantly higher among patients with prior RT. For MIP-1d/CCL15, only prior stereotactic RT was associated with significant differences. CONCLUSIONS: Prior RT is associated with few changes in systemic immune parameters in patients receiving ICI. The underlying mechanisms and optimal approach to harnessing the potential synergy of RT and ICI require further prospective clinical investigation.

The toxicity associated with combining immune check point inhibitors with tyrosine kinase inhibitors in patients with non-small cell lung cancer.

Latest advances in non-small cell lung cancer (NSCLC) therapies have revolutionized the treatment regimens utilized for NSCLCs with or without a driver mutation. Molecular targeted treatments such as tyrosine kinase inhibitors (TKIs) are utilized to prevent tumor progression and improve survival. Despite the great benefit of immunotherapy in NSCLC tumors with no driver mutation, the use of immune checkpoint inhibitors (ICIs) in NSCLC tumors harboring a driver mutation has been under debate. Furthermore, several trials have been conducted investigating the use of these therapies with TKIs. A few trials were halted due to growing concerns of increased toxicity with the combination of TKI and immunotherapy. The adverse events ranged from low grade dermatologic complaints to fatal interstitial lung diseases. These toxicities occur with both concurrent and sequential administration of treatment. Thus, recommendations for the safest method of combination treatment have not yet been described. This review paper discusses recent views on combination treatment, previous clinical trials reporting grade 3-4 toxicities, and guidelines for a safe timeline of administration of treatment based on past evidence.

Antibiotic Prescriptions in Lung Cancer and Melanoma Populations: Differences With Potential Clinical Implications in the Immunotherapy Era.

INTRODUCTION: Antibiotic exposure is associated with worse clinical outcomes in patients receiving immune checkpoint inhibitors (ICI). We analyzed antibiotic prescription patterns in lung cancer and melanoma, two malignancies in which ICI are used broadly across stages. METHODS: We performed a retrospective cohort study of adults in the U.S. Veterans Affairs (VA) medical system diagnosed with lung cancer or melanoma from 2003 to 2016. We defined antibiotic exposure as receipt of a prescription for a systemic antibacterial agent between 6 months before and 6 months after cancer diagnosis. Demographics, clinical variables, prescriptions, and diagnostic codes were abstracted from the VA Corporate Data Warehouse. Antibiotic exposure was compared using t tests, Chi-square, and multivariate analyses. RESULTS: A total of 310,321 patients (280,068 lung cancer, 30,253 melanoma) were included in the analysis. Antibiotic exposure was more common among patients with lung cancer (42% vs. 24% for melanoma; P < .001). Among antibiotic-exposed patients, those with lung cancer were more likely to receive prescriptions for multiple antibiotics (47% vs. 30% for melanoma; P < .001). In multivariate analyses, antibiotic exposure was associated with lung cancer diagnosis (HR 1.50; 95% CI, 1.46-1.55), comorbidity score (HR 1.08; 95% CI, 1.08-1.09), non-white race (HR 1.11; 95% CI, 1.06-1.17), and female gender (HR 1.31; 95% CI, 1.24-1.37). CONCLUSION: Among cancer patients, antibiotics are prescribed frequently. Antibiotic exposure is more common in certain cancer types and patient populations. Given the negative effect antibiotic exposure has on immunotherapy outcomes, these observations may have clinical and healthy policy implications.

Potential Impact of Revised NCI Eligibility Criteria Guidance: Prior Malignancy Exclusion in Breast Cancer Clinical Trials.

BACKGROUND: Many individuals with cancer have survived a prior cancer and for this reason may have been excluded from clinical trials. Recent NCI guidance recommends including these individuals, especially when the risk of the prior malignancy interfering with either safety or efficacy endpoints is very low. Using breast cancer as an example, we determined the potential effect this policy change may have on clinical trial accrual. PATIENTS AND METHODS: We reviewed protocols of NCI-sponsored breast cancer clinical trials activated in 1991 through 2016. We quantified prevalence of prior cancer-related exclusion criteria and assessed the association with trial characteristics using Fisher's exact tests. Using SEER data, we estimated the prevalence and timing of prior primary (nonbreast) cancer diagnoses among patients with breast cancer. RESULTS: Among 87 clinical trials (total target enrollment, 137,253 patients), 77% excluded individuals with prior cancer, most commonly (79%) within the preceding 5 years. Among trials with radiographic response or toxicity endpoints, 69% excluded prior cancer. In SEER data, the prevalence of a prior (nonbreast) cancer diagnosis ranged from 5.7% to 7.7%, depending on breast cancer stage, of which 39% occurred within 5 years of the incident breast cancer. For trials excluding prior cancer, the estimated proportion of patients excluded for this reason ranged from 1.3% to 5.8%, with the estimated number of excluded patients ranging from 1 to 288. CONCLUSIONS: More than three-fourths of NCI-sponsored breast cancer clinical trials exclude patients with prior cancer, including almost 70% of trials with response or toxicity endpoints. Given that >5% of patients with breast cancer have a history of prior cancer, in large phase III trials this practice may exclude hundreds of patients. Following recent NCI eligibility guidance, the inclusion of patients with prior cancer on breast cancer trials may have a meaningful impact on accrual.

Humoral and cellular correlates of a novel immune-related adverse event and its treatment.

Immune-related adverse events (irAE) may affect almost any organ system and occur at any point during treatment with immune checkpoint inhibitors (ICI). We present a patient with advanced lung cancer receiving antiprogrammed death 1 checkpoint inhibitor who developed a delayed-onset visual irAE treated with corticosteroids. Through assessment of longitudinal biospecimens, we analyzed serial autoantibodies, cytokines, and cellular populations. Months after ICI initiation and preceding clinical toxicity, the patient developed broad increases in cytokines (most notably interleukin-6 (IL-6), interferon-γ (IFNγ), C-X-C motif chemokine ligand 2 (CXCL2), and C-C motif chemokine ligand 17 (CCL17)), autoantibodies (including anti-angiotensin receptor, α-actin, and amyloid), CD8 T cells, and plasmablasts. Such changes were not observed in healthy controls and ICI-treated patients without irAE. Administration of corticosteroids resulted in immediate and profound decreases in cytokines, autoantibodies, and inflammatory cells. This case highlights the potential for late-onset changes in humoral and cellular immunity in patients receiving ICI. It also demonstrates the biologic effects of corticosteroids on these parameters. Application of humoral and cellular immune biomarkers across ICI populations may inform toxicity monitoring and management.

Management of Immune-Related Adverse Events in Patients With Non-Small Cell Lung Cancer.

With proven efficacy of the use of immunotherapy in almost all stages of NSCLC, immunotherapy toxicity has become a very important topic that requires immediate recognition and management. The diagnosis of toxicities associated with immunotherapy in lung cancer can be very challenging and often requires multidisciplinary effort. This mini review gives an overview of the diagnosis and management of immune-related adverse events that arise from using immunotherapy in NSCLC, as well as the potential biomarkers for its early identification and future directions.

Narrative review: molecular and genetic profiling of oligometastatic non-small cell lung cancer.

OBJECTIVE: The objectives of this review are to discuss: the definition, clinical and biologic features of oligometastatic non-small cell lung cancer (NSCLC), as well as the concept of treating oligoprogression in oligometastatic NSCLC. BACKGROUND: A substantial proportion of patients diagnosed with lung cancer present with metastatic disease, and a large portion of patients who present with localized disease later develop metastases. Oligometastatic NSCLC is defined as an intermediate state between localized and widespread metastatic disease, where there may be a role for curative localized therapy approach by treating the primary tumor and all metastases with radiotherapy or surgery. Despite the increasing application of this approach in patients with lung cancer, the identification of patients who might benefit from this approach is yet to be well characterized. METHODS: After a systematic review of the literature, a PubMed search was performed using the English language and the key terms: oligometastatic, non-small cell lung cancer (NSCLC), localized consolidative treatment (LCT), biomarkers, biologic features, clinical features. Over 500 articles were retrieved between 1889-2021. A total of 178 papers discussing the definition, clinical and biologic factors leading to oligometastatic NSCLC were reviewed and included in the discussion of this paper. CONCLUSIONS: Oligometastatic NSCLC is a unique entity. Identifying patients who have oligometastatic NSCLC accurately using a combination of clinical and biologic features and treating them with localized consolidative approach appropriately results in improvement of outcome. Further understanding of the molecular mechanisms driving the formation of oligometastatic NSCLC is an important area of focus for future studies.

Prevalence and Significance of Potential Pharmacokinetic Drug-Drug Interactions Among Patients with Lung Cancer: Implications for Clinical Trials.

BACKGROUND: The overall prevalence of potential drug-drug interactions (DDIs) among patients with lung cancer is unknown. OBJECTIVE: The objective of this study was to determine the prevalence of potential DDIs and major DDIs among individuals newly diagnosed with lung cancer in a national cohort. PATIENTS AND METHODS: We performed a retrospective cross-sectional study of adult patients in the United States Veterans' Affairs (VA) medical system diagnosed with lung cancer between 2003 and 2016. The primary endpoint was the prevalence of prescriptions for medications associated with any potential DDIs during the 3 months leading up to and including the date of lung cancer diagnosis. The secondary endpoint was the prevalence of prescriptions associated with major DDIs during the same time period. RESULTS: Overall, 280,068 patients were included in the study; 55.9% of patients were prescribed medications associated with potential DDIs, while 5.3% received prescriptions for medications associated with major DDIs. Among the 20 most commonly prescribed drugs associated with potential DDIs, only two were associated with major DDIs. CONCLUSION: Medications with potential DDIs are prescribed to the majority of patients with lung cancer; however, only about 5% of patients are prescribed medications with major DDIs that might be prohibited in certain clinical trials.

QTc Interval-Prolonging Medications Among Patients With Lung Cancer: Implications for Clinical Trial Eligibility and Clinical Care.

BACKGROUND: Concomitant medication use, including agents that prolong the corrected QT (QTc) interval, can result in the exclusion of patients with cancer from clinical trials. To estimate the potential effects on accrual, we determined the prevalence of QTc-prolonging medication prescriptions in a national patient cohort. PATIENTS AND METHODS: We identified adult patients in the Veterans Affairs system with a diagnosis of lung cancer from 2003 to 2016. The use of QTc interval-prolonging medications and risk category were obtained from CredibleMeds. We calculated the prevalence of prescriptions for QTc-prolonging medications with a known or possible risk of torsade de pointes in the 3 months up to and including the date of cancer diagnosis. The rates across patient groups were compared using χ2 test. RESULTS: A total of 280,068 patients were included in the present study. The mean age was 70 years, 98% were male, and 72% were white. Overall, 28.4% had been prescribed a QTc-prolonging medication, and 7.3% had been prescribed ≥2 in the 3 months before the cancer diagnosis. The most commonly prescribed QTc-prolonging medications were antimicrobial agents (14.0%), psychiatric agents (10.2%), antiemetic agents (2.6%), and cardiac medications (1.7%). Excluding the antimicrobial agents, 18.4% of the patients had been prescribed a QTc-prolonging medication. CONCLUSIONS: A substantial proportion of individuals with lung cancer will be prescribed QTc-prolonging medications. These prescriptions can limit patients' eligibility for clinical trials and complicate the administration of standard cancer therapies. Further research into the actual clinical risks and optimal management of QTc-prolonging medications in cancer populations is warranted.

Diagnosis and management of pulmonary toxicity associated with cancer immunotherapy.

Pulmonary toxicity of cancer immunotherapies has emerged as an important clinical event that requires prompt identification and management. Although often referred to as pneumonitis, pulmonary toxicity associated with immunotherapy covers a broad and overlapping spectrum of pulmonary manifestations, and, once suspected, the range of differential diagnoses of infectious and neoplastic processes might make the diagnostic process challenging for physicians. Optimal care can require multidisciplinary effort by pulmonologists, medical oncologists, and radiologists, and awareness of the possibility of treatment-induced pulmonary toxicity by emergency department and primary care physicians. This Viewpoint gives an overview of the diagnosis and management of pulmonary toxicity arising from cancer immunotherapy, including widely used treatments, such as immune checkpoint inhibitors, and emerging therapies, such as chimeric antigen receptor T cells.

Salvage Therapy for Patients With Germ Cell Tumor.

The introduction of cisplatin combination chemotherapy, 40 years ago, transformed metastatic testicular germ cell tumors from an almost uniformly fatal disease into a model for a curable neoplasm. Before the era of platinum combination chemotherapy, the 5-year survival rate among men with metastatic testicular germ cell tumors was 5% to 10%. Currently, the 5-year survival rate is 80% for patients with metastatic disease and 95% overall. Despite the substantial advances in the treatment of germ cell tumors, 20% to 30% of patients will relapse after first-line chemotherapy and will require additional salvage therapies. Standard-dose or high-dose chemotherapy can cure ≤ 50% of these patients. Relapses after high-dose chemotherapy generally carry a poor prognosis; however, cure is still possible in a small percentage of patients by using further salvage chemotherapy or salvage surgery.

Nintedanib for the treatment of non-small-cell lung cancer.

INTRODUCTION: In NSCLC, increased microvessel count, often used as a measure of angiogenesis, has been correlated with poor prognosis and associated with advanced disease and inferior outcomes. In the clinical development of antiangiogenic therapies, two approaches have been used; the first has been to inhibit ligand binding and receptor activation using targeted antibodies, whereas the second has been to inhibit receptor activation using tyrosine kinase inhibitors that target VEGF receptor (VEGFR), platelet-derived growth factor receptor (PDGFR) and/or fibroblast growth factor receptor (FGFR). Nintedanib is a triple angiokinase inhibitor that simultaneously acts on VEGFR, PDGFR and FGFR. It has shown significant antiangiogenic and antineoplastic activities in vitro, in preventing tumor growth and overcoming drug resistance. AREAS COVERED: Medline search was used with the following keywords: non-small-cell lung cancer and nintedanib or BIBF 1120, ASCO abstracts 2013 with nintedanib, and Phase I and Phase II abstracts lung cancer and nintedanib. EXPERT OPINION: Recent Phase III trials have shown promising efficacy results of nintedanib in NSCLC; however, many questions still need to be answered before it is put into routine use.