Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2023Abstract 3194: Anti-mesothelin CAR.CIK lymphocytes are effective against ovarian cancer in 3D models of peritoneal carcinomatosiscitations
  • 2022Fibroblasts Impair Migration and Antitumor Activity of NK-92 Lymphocytes in a Melanoma-on-Chip Model7citations

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Rotolo, Ramona
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Capellero, Sonia
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Proment, Alessia
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Galvagno, Federica
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Leuci, Valeria
1 / 1 shared
Donini, Chiara
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Massa, Annamaria
1 / 1 shared
Vitali, Letizia
1 / 1 shared
Puliafito, Alberto
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Primo, Luca
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Valabrega, Giorgio
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Vigna, Elisa
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Tuninetti, Valentina
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2022

Co-Authors (by relevance)

  • Rotolo, Ramona
  • Capellero, Sonia
  • Proment, Alessia
  • Galvagno, Federica
  • Leuci, Valeria
  • Donini, Chiara
  • Massa, Annamaria
  • Vitali, Letizia
  • Puliafito, Alberto
  • Primo, Luca
  • Valabrega, Giorgio
  • Vigna, Elisa
  • Tuninetti, Valentina
  • Olivero, Martina
  • Kundu, Subhas C.
  • Iaia, Ilenia
  • Brancato, Virginia
  • Aglietta, Massimo
  • Reis, Rui Luís
  • Caballero, David
OrganizationsLocationPeople

document

Abstract 3194: Anti-mesothelin CAR.CIK lymphocytes are effective against ovarian cancer in 3D models of peritoneal carcinomatosis

  • Rotolo, Ramona
  • Capellero, Sonia
  • Proment, Alessia
  • Galvagno, Federica
  • Leuci, Valeria
  • Donini, Chiara
  • Massa, Annamaria
  • Vitali, Letizia
  • Sangiolo, Dario
  • Puliafito, Alberto
  • Primo, Luca
  • Valabrega, Giorgio
  • Vigna, Elisa
  • Tuninetti, Valentina
  • Olivero, Martina
Abstract

<jats:title>Abstract</jats:title><jats:p>Peritoneal carcinomatosis (PC) from ovarian cancer (OC) has poor prognosis and is in need for innovative therapies. Such clinical condition displays a composite structure with floating cell aggregates within ascites and solid-like masses invading the peritoneum. A deep understanding of the dynamics is thus crucial to propose more effective treatments.</jats:p><jats:p>Chimeric antigen receptor (CAR)-based immunotherapies are emerging as promising approaches, and ex vivo expanded cytokine-induced killer lymphocytes (CIK), intrinsically endowed with HLA-independent antitumor activity, are a valid platform to be exploited against solid tumors. Appropriate preclinical models, recapitulating the clinical complexity, are needed in the perspective of clinical translation. Here we explored the activity of mesothelin (MSLN) CAR-redirected CIK (CAR.CIK) against advanced OC, by developing 3D models resembling PC structural complexity.</jats:p><jats:p>CAR.CIK were generated from patients’ PBMC (n=11), engineered with 2nd generation MSLN-CAR with 4-1BB costimulation. As tumor targets we employed and characterized a panel of ascites-derived OC cell lines (aOC). Anti-aOC CAR.CIK killing ability was evaluated mostly by flow cytometry.</jats:p><jats:p>CAR.CIK were successfully generated with a mean CAR expression of 42%. MSLN was highly expressed (&amp;gt;75%) in 5/6 aOC. CAR.CIK effectively killed tumor targets in standard 2D assays, even at very low effector/target ratios (E/T), with significant improvement compared to unmodified CIK (NTD.CIK): 78% vs 36%, 46% vs 15% respectively at 5:1 and 1:2 E/T (p&amp;lt;0.05). The re-growth capability of residual aOC following treatment with CAR.CIK was significantly delayed as compared with NTD.CIK (p&amp;lt;0.05).</jats:p><jats:p>In order to recapitulate the clinical complexity we generated 3D aOC spheroids, either floating in liquid medium or embedded in a 3D hydrogel and co-cultured with CAR.CIK. To measure CAR.CIK activity we employed live-imaging and image processing.</jats:p><jats:p>CAR.CIK were found to localize faster than NTD.CIK in both liquid and solid settings. Recruitment kinetics of CAR.CIK on aOC aggregates in liquid was significantly faster in shaking cultures, reminiscent of spontaneous patient movement, than in absence of flow. Even in the 3D solid setting, CAR.CIK were functionally more efficient and localized faster on aOC spheroids than NTD.CIK.</jats:p><jats:p>Our data indicate that MSLN-CAR.CIK are effective against aOC in both 2D and 3D settings. Kinetics measurements in 3D show that recruitment in liquid requires shorter times when coupled to fluid flow. The solid setting is instead characterized by slower kinetics but CAR.CIK anti-tumor activity remains comparable to the liquid condition. The kinetics of recruitment should therefore be considered when assessing CAR.CIK killing.</jats:p><jats:p>Our findings provide reliable translational bases for clinical studies to explore intraperitoneal cellular immunotherapy with CAR.CIK against OC PC.</jats:p><jats:p>Citation Format: Federica Galvagno, Valeria Leuci, Chiara Donini, Annamaria Massa, Ramona Rotolo, Sonia Capellero, Alessia Proment, Letizia Vitali, Valentina Tuninetti, Martina Olivero, Elisa Vigna, Giorgio Valabrega, Luca Primo, Alberto Puliafito, Dario Sangiolo. Anti-mesothelin CAR.CIK lymphocytes are effective against ovarian cancer in 3D models of peritoneal carcinomatosis [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 3194.</jats:p>

Topics
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