PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 5, 2024Cancer Research0 citations

Abstract LB344: A novel approach to limit off-tumor toxicity of CAR-T cells targeting solid cancers

View Full Paper
ABA. BartlettMMMatthew R. McWhorterCCCamille Collier

Key Points

Key points are not available for this paper at this time.

Abstract

Abstract T cells genetically engineered to express a chimeric antigen receptor (CAR) specific for the molecule CD19 have achieved significant gains in the treatment of chemotherapy-resistant leukemia and lymphoma. Despite evidence of long-lived cures in patients with metastatic solid cancer after receiving tumor-specific T cells, no CAR-T cell treatment is currently approved for use against any solid cancer. A large majority of solid cancers express one of many tumor-associated antigens (TAAs) that are vulnerable to CAR T cell recognition. However, in nearly all cases those same TAAs are present in healthy tissues. Since CAR T cells cannot differentiate between cancer and normal cells, CAR T cell recognition of TAAs on healthy tissues provokes dose-limiting ‘on-target off-tumor’ toxicities at sites of endogenous expression (lung, intestine). Thus, there remains a pressing need to develop strategies to mitigate off-tumor toxicity of CAR T cells. To this end, we develop two immunocompetent models of CAR T cell transfer targeting TAAs abundant in metastatic colorectal cancer and pancreatic cancer. TAA-specific CAR T cells affected tumor shrinkage along with infiltrating and damaging sites of endogenous expression (primarily lung, pancreas, Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts) ; 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84 (7Suppl): Abstract nr LB344.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Bartlett et al. (2024) studied this question.

synapsesocial.com/papers/68e70461b6db64358767ea3chttps://doi.org/10.1158/1538-7445.am2024-lb344
Ask AI
Helpful
Bookmark
Share
View Full Paper