2021
DOI: 10.1080/2162402x.2021.1960729
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PD-1 inhibition in patient derived tissue cultures of human gastric and gastroesophageal adenocarcinoma

Abstract: Emerging immunotherapies quest for better patient stratification in cancer treatment decisions. Moderate response rates of PD-1 inhibition in gastric and esophagogastric junction cancers urge for meaningful human model systems that allow for investigating immune responses ex vivo . Here, the standardized patient-derived tissue culture (PDTC) model was applied to investigate tumor response to the PD-1 inhibitor Nivolumab and the CD3/CD28 t-lymphocyte activator ImmunoCult TM … Show more

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Cited by 8 publications
(9 citation statements)
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“…Our data suggest that ex vivo ICI treatment of PDE simulates an active antitumor immune response, thereby providing a proof-of-concept strategy to identify patients who might benefit from such kind of treatment. Our results are in line with the numerous other investigators operating in the 3D cancer model field (15,17,20,22,24,25) and we encourage the establishment in the clinics of personalized ex vivo platforms to test immunotherapy efficacy, define prediction markers and develop combination strategies. We underline that preclinical or co-clinical testing of immunotherapeutic agents must rely on 3D models, such as PDO (59), PDOTS (17) or PDTF (22), representing the most accurate patient-tailored TME replicas.…”
Section: Discussionsupporting
confidence: 88%
See 1 more Smart Citation
“…Our data suggest that ex vivo ICI treatment of PDE simulates an active antitumor immune response, thereby providing a proof-of-concept strategy to identify patients who might benefit from such kind of treatment. Our results are in line with the numerous other investigators operating in the 3D cancer model field (15,17,20,22,24,25) and we encourage the establishment in the clinics of personalized ex vivo platforms to test immunotherapy efficacy, define prediction markers and develop combination strategies. We underline that preclinical or co-clinical testing of immunotherapeutic agents must rely on 3D models, such as PDO (59), PDOTS (17) or PDTF (22), representing the most accurate patient-tailored TME replicas.…”
Section: Discussionsupporting
confidence: 88%
“…In this setting, the secretion of cyto/chemokines, along with T cell activation levels measured in a PDE model of patient-derived tumor fragments (PDTF) from different tumor types embedded into an artificial extracellular matrix, could predict clinical response to PD-1 blockade ( 22 ). Similar observations were recorded following PD-1 inhibition in explant cultures of head and neck cancer, gastric and gastroesophageal adenocarcinoma ( 23 , 24 ). Importantly, the PDTF platform can be also applied to identify suitable neoadjuvant treatment strategies in patients with early-stage cancer, as recently described for anti-CTLA-4 plus anti-PD-1 combined with IL-2 in PDE of checkpoint inhibitor-resistant melanoma patients ( 25 ).…”
Section: Patient-derived Models For Cancer Drug Testingsupporting
confidence: 81%
“…Thus, the immunomodulatory effects of nanoparticles will require tissue material from an immunocompetent background. However, in these tissues, immune cells, such as T lymphocytes, can retain their viability in ALI tissue slice culture for several days, [ 26 ] which is sufficient for assessing nanoparticle effects. Similarly, (cyto‐)toxic effects can also be monitored.…”
Section: Discussionmentioning
confidence: 99%
“… 25 However, in many cases ICI monotherapy fails to confer sufficient benefit due to the lack of pre-existing immune priming. 26–28 Therefore, ICD-inducing regimens that are capable of stimulating adaptive anticancer immunity appear as particularly promising combinations for generating synergistic effects with ICIs. The concept of combining immunogenic chemotherapies with ICIs is supported by several preclinical studies generally employing ICD inducers to prime an adaptive antitumor immune response several days or weeks before the administration of ICIs ( Table 1 ).…”
Section: Main Textmentioning
confidence: 99%