Title | Patient-derived tumor organoids with p53 mutations, and not wild-type p53, are sensitive to synergistic combination PARP inhibitor treatment. |
Publication Type | Journal Article |
Year of Publication | 2023 |
Authors | Rowdo FPMadorsky, Xiao G, Khramtsova GF, Nguyen J, Olopade OI, Martini R, Stonaker B, Boateng R, Oppong JK, Adjei EK, Awuah B, Kyei I, Aitpillah FS, Adinku MO, Ankomah K, Osei-Bonsu EB, Gyan KK, Altorki NK, Cheng E, Ginter PS, Hoda S, Newman L, Elemento O, Davis MB, M Martin L, Bargonetti J |
Journal | bioRxiv |
Date Published | 2023 Jun 22 |
Abstract | Poly (ADP-ribose) polymerase inhibitors (PARPi) are used for patients with BRCA1/2 mutations, but patients with other mutations may benefit from PARPi treatment. Another mutation that is present in more cancers than BRCA1/2 is mutation to the TP53 gene. In 2D breast cancer cell lines, mutant p53 (mtp53) proteins tightly associate with replicating DNA and Poly (ADP-ribose) polymerase (PARP) protein. Combination drug treatment with the alkylating agent temozolomide and the PARPi talazoparib kills mtp53 expressing 2D grown breast cancer cell lines. We evaluated the sensitivity to the combination of temozolomide plus PARPi talazoparib treatment to breast and lung cancer patient-derived tumor organoids (PDTOs). The combination of the two drugs was synergistic for a cytotoxic response in PDTOs with mtp53 but not for PDTOs with wtp53. The combination of talazoparib and temozolomide induced more DNA double-strand breaks in mtp53 expressing organoids than in wild-type p53 expressing organoids as shown by increased γ-H2AX protein expression. Moreover, breast cancer tissue microarrays (TMAs) showed a positive correlation between stable p53 and high PARP1 expression in sub-groups of breast cancers, which may indicate sub-classes of breast cancers sensitive to PARPi therapy. These results suggest that mtp53 could be a biomarker to predict response to the combination of PARPi talazoparib-temozolomide treatment. |
DOI | 10.1101/2023.06.22.544406 |
Alternate Journal | bioRxiv |
PubMed ID | 38076873 |
PubMed Central ID | PMC10705575 |
Grant List | R01 CA239603 / CA / NCI NIH HHS / United States T32 CA203702 / CA / NCI NIH HHS / United States UL1 TR002384 / TR / NCATS NIH HHS / United States |