RESUMEN
Soluble CD26 (sCD26), a glycoprotein with dipeptidyl peptidase (DPP4) enzymatic activity, can contribute to early diagnosis of colorectal cancer and advanced adenomas and has been studied, including for prognostic purposes, across various other types of cancer and disease. The latest research in this field has confirmed that most, though not all, serum/plasma sCD26 is related to inflammation. The shedding and/or secretion of sCD26 from different immune cells are being investigated, and blood DPP4 activity levels do not correlate very strongly with protein titers. Some of the main substrates of this enzyme are key chemokines involved in immune cell migration, and both soluble and cell-surface CD26 can bind adenosine deaminase (ADA), an enzyme involved in the metabolism of immunosuppressor extracellular adenosine. Of note, there are T cells enriched in CD26 expression and, in mice tumor models, tumor infiltrating lymphocytes exhibited heightened percentages of CD26+ correlating with tumor regression. We employed sCD26 as a biomarker in the follow-up after curative resection of colorectal cancer for the early detection of tumor recurrence. Changes after treatment with different biological disease-modifying antirheumatic drugs, including Ig-CTLA4, were also observed in rheumatoid arthritis. Serum soluble CD26/DPP4 titer variation has recently been proposed as a potential prognostic biomarker after a phase I trial in cancer immunotherapy with a humanized anti-CD26 antibody. We propose that dynamic monitoring of sCD26/DPP4 changes, in addition to well-known inflammatory biomarkers such as CRP already in use as informative for immune checkpoint immunotherapy, may indicate resistance or response during the successive steps of the treatment. As tumor cells expressing CD26 can also produce sCD26, the possibility of sorting immune- from non-immune-system-originated sCD26 is discussed.
RESUMEN
Adiponectin is a circulating hormone secreted by adipose tissue that exerts, unlike other adipokines such as leptin, anti-inflammatory, anti-atherosclerotic and other protective effects on health. Adiponectin receptor agonists are being tested in clinical trials and are expected to show benefits in many diseases. In a recent article, LW Chen's group used monocyte chemoattractant protein-1 (MCP-1/CCL2) to improve plasma levels of adiponectin, suggesting the involvement of dipeptidyl peptidase 4 (DPP4/CD26) in the mechanism. Here, we discuss the significance of the role of DPP4, favoring the increase in DPP4-positive interstitial progenitor cells, a finding that fits with the greater stemness and persistence of other DPP4/CD26-positive cells.
Asunto(s)
Adipogénesis , Tejido Adiposo , Dipeptidil Peptidasa 4 , Dipeptidil Peptidasa 4/metabolismo , Dipeptidil Peptidasa 4/genética , Adipogénesis/genética , Adipogénesis/efectos de los fármacos , Humanos , Tejido Adiposo/metabolismo , Animales , Adiponectina/metabolismo , Adiponectina/genética , Regulación de la Expresión Génica/efectos de los fármacos , Quimiocina CCL2/metabolismo , Quimiocina CCL2/genética , Células del Estroma/metabolismo , Adipocitos/metabolismo , Adipocitos/efectos de los fármacosRESUMEN
In the advanced renal cell carcinoma (RCC) scenario, there are no consistent biomarkers to predict the clinical benefit patients derived from immune checkpoint blockade (ICB). Taking this into consideration, herein, we conducted a retrospective study in order to develop and validate a gene expression score for predicting clinical benefit to the anti-PD-1 antibody nivolumab in the context of patients diagnosed with advanced clear cell RCC enrolled in the CheckMate-009, CheckMate-010, and CheckMate-025 clinical trials. First, a three-gene expression score (3GES) with prognostic value for overall survival integrating HMGA1, NUP62, and ARHGAP42 transcripts was developed in a cohort of patients treated with nivolumab. Its prognostic value was then validated in the TCGA-KIRC cohort. Second, the predictive value for nivolumab was confirmed in a set of patients from the CheckMate-025 phase 3 clinical trial. Lastly, we explored the correlation of our 3GES with different clinical, molecular, and immune tumor characteristics. If the results of this study are definitively validated in other retrospective and large-scale, prospective studies, the 3GES will represent a valuable tool for guiding the design of ICB-based clinical trials in the aRCC scenario in the near future.