Publications by authors named "P G Nuciforo"

Purpose: Innate immune cell-based therapies have shown promising antitumor activity against solid and hematologic malignancies. AFM24, a bispecific innate cell engager, binds CD16A on natural killer (NK) cells/macrophages and EGFR on tumor cells, redirecting antitumor activity towards tumors. The safety and tolerability of AFM24 was evaluated in this Phase 1/2a dose escalation/dose expansion study in patients with recurrent or persistent, advanced solid tumors known to express EGFR.

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Background: The efficacy of immune checkpoint inhibitors (ICIs) depends on the tumor immune microenvironment (TIME), with a preference for a T cell-inflamed TIME. However, challenges in tissue-based assessments via biopsies have triggered the exploration of non-invasive alternatives, such as radiomics, to comprehensively evaluate TIME across diverse cancers. To address these challenges, we develop an ICI response signature by integrating radiomics with T cell-inflamed gene-expression profiles.

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Background: Poly (ADP-ribose) polymerase 1 and 2 (PARP1/2) inhibitors (PARPi) are targeted therapies approved for homologous recombination repair (HRR)-deficient breast, ovarian, pancreatic, and prostate cancers. Since inhibition of PARP1 is sufficient to cause synthetic lethality in tumors with homologous recombination deficiency (HRD), PARP1 selective inhibitors such as saruparib (AZD5305) are being developed. It is expected that selective PARP1 inhibition leads to a safer profile that facilitates its combination with other DNA damage repair inhibitors.

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Article Synopsis
  • FGFR2 fusions, found in 10-15% of intrahepatic cholangiocarcinoma (iCCA) patients, may benefit from FGFR inhibitors, and this study evaluated detecting these fusions in plasma samples.
  • In a study of 18 iCCA patients with known FGFR2 fusions, 88.9% tested positive for the fusion in plasma, suggesting that lower levels of circulating tumor DNA (ctDNA) correlate with better clinical outcomes.
  • The research indicates that monitoring plasma biomarkers can not only predict treatment success but also detect disease progression earlier than traditional imaging methods, aiding in better clinical management for iCCA patients.
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