Dataset Information

Schedule-dependent interaction between anticancer treatments.

ABSTRACT: The oncogene MDMX is overexpressed in many cancers, leading to suppression of the tumor suppressor p53. Inhibitors of the oncogene product MDMX therefore might help reactivate p53 and enhance the efficacy of DNA-damaging drugs. However, we currently lack a quantitative understanding of how MDMX inhibition affects the p53 signaling pathway and cell sensitivity to DNA damage. Live cell imaging showed that MDMX depletion triggered two distinct phases of p53 accumulation in single cells: an initial postmitotic pulse, followed by low-amplitude oscillations. The response to DNA damage was sharply different in these two phases; in the first phase, MDMX depletion was synergistic with DNA damage in causing cell death, whereas in the second phase, depletion of MDMX inhibited cell death. Thus a quantitative understanding of signal dynamics and cellular states is important for designing an optimal schedule of dual-drug administration.

SUBMITTER: Chen SH

PROVIDER: S-EPMC5217461 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Schedule-dependent interaction between anticancer treatments.

Chen Sheng-Hong SH Forrester William W Lahav Galit G

Science (New York, N.Y.) 20160310 6278

The oncogene MDMX is overexpressed in many cancers, leading to suppression of the tumor suppressor p53. Inhibitors of the oncogene product MDMX therefore might help reactivate p53 and enhance the efficacy of DNA-damaging drugs. However, we currently lack a quantitative understanding of how MDMX inhibition affects the p53 signaling pathway and cell sensitivity to DNA damage. Live cell imaging showed that MDMX depletion triggered two distinct phases of p53 accumulation in single cells: an initial ...[more]

PMID: 26965628

Similar Datasets

Project description:Malignant pleural mesothelioma (MPM) is a rare but aggressive thoracic malignancy with limited treatment options. One of the standard treatments for MPM is chemotherapy, which consists of concurrent treatment with pemetrexed and cisplatin. Pemetrexed limits tumor growth by inhibiting critical metabolic enzymes involved in nucleotide synthesis. Cisplatin causes direct DNA damage, such as intra-strand and inter-strand cross-links, which are repaired by the nucleotide excision repair pathway, which depends on relatively high nucleotide levels. We hypothesized that prolonged pretreatment with pemetrexed might deplete nucleotide pools, thereby sensitizing cancer cells to subsequent cisplatin treatment. The MPM cell lines ACC-MESO-1 and NCI-H28 were treated for 72 h with pemetrexed. Three treatment schedules were evaluated by initiating 24 h of cisplatin treatment at 0 h (concomitant), 24 h, and 48 h relative to pemetrexed treatment, resulting in either concomitant administration or pemetrexed pretreatment for 24 h or 48 h, respectively. Multicolor flow cytometry was performed to detect γH2AX (phosphorylation of histone H2AX), a surrogate marker for the activation of the DNA damage response pathway. DAPI staining of DNA was used to analyze cell cycle distribution. Forward and side scatter intensity was used to distinguish subpopulations based on cellular size and granularity, respectively. Our study revealed that prolonged pemetrexed pretreatment for 48 h prior to cisplatin significantly reduced long-term cell growth. Specifically, pretreatment for 48 h with pemetrexed induced a cell cycle arrest, mainly in the G2/M phase, accumulation of persistent DNA damage, and induction of a senescence phenotype. The present study demonstrates that optimizing the treatment schedule by pretreatment with pemetrexed increases the efficacy of the pemetrexed-cisplatin combination therapy in MPM. We show that the observed benefits are associated with the persistence of treatment-induced DNA damage. Our study suggests that an adjustment of the treatment schedule could improve the efficacy of the standard chemotherapy regimen for MPM and might improve patient outcomes.

Dataset Information

Schedule-dependent interaction between anticancer treatments.

Publications

Schedule-dependent interaction between anticancer treatments.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets