Circulating L-arginine predicts the survival of cancer patients treated with immune checkpoint inhibitors.

BACKGROUND: The discovery of immune checkpoint inhibitors (ICIs) has revolutionized the systemic approach to cancer treatment. Most patients receiving ICIs, however, do not derive benefits. Therefore, it is crucial to identify reliable predictive biomarkers of response to ICIs. One important pathway in regulating immune cell reactivity is L-arginine (ARG) metabolism, essential to T-cell activation. We therefore aimed to evaluate the association between baseline plasma ARG levels and the clinical benefit of ICIs. PATIENTS AND METHODS: The correlation between ARG levels and clinical ICI activity was assessed by analyzing plasma samples obtained before treatment onset in two independent cohorts of patients with advanced cancer included in two institutional molecular profiling programs (BIP, NCT02534649, n = 77; PREMIS, NCT03984318, n = 296) and from patients in a phase 1 first-in-human study of budigalimab monotherapy (NCT03000257). Additionally, the correlation between ARG levels and ICI efficacy in preclinical settings was evaluated using a syngeneic mouse model of colorectal cancer responsive to ICIs. Using matched peripheral blood mononuclear cell (PBMC) plasma samples, we analyzed the correlation between ARG levels and PBMC features through multiplexed flow cytometry analysis. RESULTS: In both discovery and validation cohorts, low ARG levels at baseline (<42 µM) were significantly and independently associated with a worse clinical benefit rate, progression-free survival, and overall survival. Moreover, at the preclinical level, the tumor rejection rate was significantly higher in mice with high baseline ARG levels than in those with low ARG levels (85.7% versus 23.8%; P = 0.004). Finally, PBMC immunophenotyping showed that low ARG levels were significantly associated with increased programmed death-ligand 1 expression in several immune cell subsets from the myeloid lineage. CONCLUSIONS: We demonstrate that baseline ARG levels predict ICI response. Plasma ARG quantification may therefore represent an attractive biomarker to tailor novel therapeutic regimens targeting the ARG pathway in combination with ICIs.

Impact of acetaminophen on the efficacy of immunotherapy in cancer patients.

BACKGROUND: Acetaminophen (APAP) use has been associated with blunted vaccine immune responses. This study aimed to assess APAP impact on immunotherapy efficacy in patients with cancer. PATIENTS AND METHODS: Exposure to APAP was assessed by plasma analysis and was correlated with clinical outcome in three independent cohorts of patients with advanced cancer who were treated with immune checkpoint blockers (ICBs). The immunomodulatory effects of APAP were evaluated on a preclinical tumor model and on human peripheral blood mononuclear cells (PBMCs) from healthy donors. RESULTS: Detectable plasma APAP levels at treatment onset were associated with a significantly worse clinical outcome in ICB-treated cancer patients, independently of other prognostic factors. APAP significantly reduced ICB efficacy in the preclinical MC38 model, as well as the production of PD-1 blockade-related interferon-γ secretion by human PBMCs. Moreover, reduction of ICB efficacy in vivo was associated with significantly increased tumor infiltration by regulatory T cells (Tregs). Administration of APAP over 24 h induced a significant expansion of peripheral Tregs in healthy individuals. In addition, interleukin-10, a crucial mediator of Treg-induced immune suppression, was significantly up-regulated upon treatment with ICB in cancer patients taking APAP. CONCLUSIONS: This study provides strong preclinical and clinical evidence of the role of APAP as a potential suppressor of antitumor immunity. Hence, APAP should be used with caution in patients treated with ICB.

Plasma proteomics identifies leukemia inhibitory factor (LIF) as a novel predictive biomarker of immune-checkpoint blockade resistance.

BACKGROUND: Immune checkpoint blockers (ICBs) are now widely used in oncology. Most patients, however, do not derive benefit from these agents. Therefore, there is a crucial need to identify novel and reliable biomarkers of resistance to such treatments in order to prescribe potentially toxic and costly treatments only to patients with expected therapeutic benefits. In the wake of genomics, the study of proteins is now emerging as the new frontier for understanding real-time human biology. PATIENTS AND METHODS: We analyzed the proteome of plasma samples, collected before treatment onset, from two independent prospective cohorts of cancer patients treated with ICB (discovery cohort n = 95, validation cohort n = 292). We then investigated the correlation between protein plasma levels, clinical benefit rate, progression-free survival and overall survival by Cox proportional hazards models. RESULTS: By using an unbiased proteomics approach, we show that, in both discovery and validation cohorts, elevated baseline serum level of leukemia inhibitory factor (LIF) is associated with a poor clinical outcome in cancer patients treated with ICB, independently of other prognostic factors. We also demonstrated that the circulating level of LIF is inversely correlated with the presence of tertiary lymphoid structures in the tumor microenvironment. CONCLUSION: This novel clinical dataset brings strong evidence for the role of LIF as a potential suppressor of antitumor immunity and suggests that targeting LIF or its pathway may represent a promising approach to improve efficacy of cancer immunotherapy in combination with ICB.

[Clonal haematopoiesis: A concise review]. / L'hématopoïèse clonale : un concept émergent à la croisée des spécialités.

Clonal hematopoiesis of undetermined significance or CHIP describes the identification, in individuals without hematologic disease, of one or more somatic mutations in hematopoietic cells. These mutations, detected by high-throughput genes sequencing (Next-Generation Sequencing or NGS), affect genes first identified in acute myeloid leukemia or myelodysplastic syndrome, such as DNMT3A, TET2 and ASXL1. CHIP is associated with an increased risk of malignant hemopathy, both myeloid and lymphoid, evaluated from 0.5 to 1% per year. CHIP is also associated with an increased risk of overall mortality and cardiovascular diseases. CHIP detection using NGS is currently limited to basic science field, but recent studies suggest that it may be of clinical interest.

Inflammatory gastrointestinal diseases associated with PD-1 blockade antibodies.

BACKGROUND: Immune check-point blockade agents have shown clinical activity in cancer patients but are associated with immune-related adverse events that could limit their development. The aim of this study was to describe the gastrointestinal immune-related adverse events (GI-irAE) in patients with cancer treated with anti-PD-1. METHODS: this is a retrospective study of consecutive adult patients who had a suspected GI-irAE due to anti-PD-1 antibodies between 2013 and 2016. Patients were recruited through a pharmacovigilance registry. Patients' data were reviewed by a multidisciplinary committee that included gastroenterologists, oncologists and a pathologist. Quantitative variables are described by median (range), qualitative variable by frequency (percentage). RESULTS: Forty-four patients were addressed to a Gastroenterology unit for a suspected GI-IrAE. Twenty patients had a confirmed GI-irAE related to anti-PD-1, which occurred 4.2 months (0.2; 22.1) after the initiation of anti-PD-1. GI-IrAE incidence rate under anti-PD-1 treatment was estimated to be 1.5%. Among patients with GI-IrAE, main symptoms were diarrhoea (n = 16, 80%), abdominal pain (n = 13, 65%), nausea and vomiting (n = 11, 55%), intestinal obstruction (n = 1, 5%), and haematochezia (n = 2, 10%). No patient had colectomy. Four distinct categories of GI-irAE were observed: acute colitis (n = 8, 40%), microscopic colitis (n = 7, 35%), upper gastrointestinal tract inflammation (n = 4, 20%) and pseudo-obstruction (n = 1, 5%). Response rates to corticosteroids were 87.5% (7/8) in acute colitis, 57% (4/7) in microscopic colitis and 75% (3/4) in upper gastrointestinal tract inflammation. Median time to resolution was 36 days (6-172) in acute colitis, and 98 days (42-226) in microscopic colitis. CONCLUSION: This study suggests that GI-irAE are different and less frequent with anti PD-1 than with anti CTLA-4.