Metabolic interrogation as a tool to optimize chemotherapeutic regimens
Vlad C Sandulache1,2, Yunyun Chen1, Lei Feng3
1Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Abstract:
Platinum-based (Pt) chemotherapy is broadly utilized in the treatment of cancer. Development of more effective, personalized treatment strategies require identification of novel biomarkers of treatment response. Since Pt compounds are inactivated through cellular metabolic activity, we hypothesized that metabolic interrogation can predict the effectiveness of Pt chemotherapy in a pre-clinical model of head and neck squamous cell carcinoma (HNSCC).We tested the effects of cisplatin (CDDP) and carboplatin (CBP) on DNA damage, activation of cellular death cascades and tumor cell metabolism, specifically lactate production. Pt compounds induced an acute dose-dependent, transient drop in lactate generation in vitro, which correlated with effects on DNA damage and cell death. Neutralization of free radical stress abrogated these effects. The magnitude of this effect on lactate production correlated with the differential sensitivity of HNSCC cells to Pt compounds (CDDP vs CBP) and p53-driven Pt chemotherapy resistance. Using dual flank xenograft tumors, we demonstrated that Pt-driven effects on lactate levels correlate with effects on tumor growth delay in a dose-dependent manner and that lactate levels can define the temporal profile of Pt chemotherapy-induced metabolic stress. Lactate interrogation also predicted doxorubicin effects on cell death in both solid tumor (HNSCC) and acute myelogenous leukemia (AML) cell lines.Real-time metabolic interrogation of acute changes in cell and tumor lactate levels reflects chemotherapy effects on DNA damage, cell death and tumor growth delay. We have identified a real-time biomarker of chemotherapy effectiveness which can be used to develop adaptive, iterative and personalized treatment regimens against a variety of solid and hematopoietic malignancies.
Insights
Measuring lactate levels can predict how well platinum-based chemotherapy works. This metabolic biomarker helps personalize cancer treatment by tracking real-time effects on tumor growth and cell death.
Area of Science:
- Biochemistry
- Oncology
- Metabolomics
Background:
- Platinum-based chemotherapy is a cornerstone in cancer treatment.
- Identifying biomarkers for treatment response is crucial for personalized medicine.
- Cellular metabolism influences platinum compound efficacy.
Purpose of the Study:
- To investigate if metabolic interrogation, specifically lactate production, can predict platinum-based chemotherapy effectiveness.
- To explore lactate levels as a real-time biomarker for treatment response in head and neck squamous cell carcinoma (HNSCC).
Main Methods:
- Assessed effects of cisplatin (CDDP) and carboplatin (CBP) on DNA damage, cell death, and lactate production in vitro.
- Utilized dual flank xenograft tumor models to correlate lactate levels with tumor growth delay.
- Tested lactate interrogation for predicting doxorubicin effects in HNSCC and acute myelogenous leukemia (AML) cell lines.
Main Results:
- Platinum compounds induced a transient, dose-dependent drop in lactate production, correlating with DNA damage and cell death.
- Lactate production changes predicted differential sensitivity to CDDP vs. CBP and p53-mediated resistance.
- In vivo, platinum-induced lactate level changes correlated with tumor growth delay, defining metabolic stress profiles.
- Lactate interrogation predicted doxorubicin efficacy in both solid tumors and leukemia.
Conclusions:
- Real-time monitoring of lactate levels reflects chemotherapy's impact on DNA damage, cell death, and tumor growth.
- Lactate levels serve as a novel, real-time biomarker for chemotherapy effectiveness.
- This biomarker facilitates the development of adaptive, personalized treatment regimens for various malignancies.
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