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Toxicology and Applied Pharmacology 2020-Apr

A drug potency signature links progression of chronic lymphocytic leukemia to mitochondria-related stress responses and metabolic reprogramming under hypoxia.

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Laura Kornblihtt
María Lorenzo
Martin Folgar
Clelia Minissale
Cecilia Malusardi
Francisca Rojas
Tomás Lombardo
Guillermo Blanco

Keywords

Abstract

Chronic lymphocytic leukemia (CLL) cells change their metabolic program between normoxia and hypoxia, possibly affecting cytotoxic drug potency by altering mitochondria-related cell stress responses (MRCSR) including mitophagy, mitochondrial biogenesis, and mitochondrial proteostasis. We evaluated in CLL cells from nine patients, the single and multiple-combined drug potency of arsenic trioxide (ATO), valproic acid (VPA), vincristine (VCR) and MG132 as four pharmacological sensors influencing mitochondrial apoptosis, mitochondrial biogenesis, mitophagy, and mitochondrial proteostasis respectively, under normoxia and hypoxia to force hypoxia-induced metabolic reprogramming (HMR). Untreated cells from all patients remained viable under O2 levels below 0.5% for 72 h. We obtained 21 measures of drug potency and interaction at 50% effect level that we denoted drug potency signature (DPS). Using the comparative DPS between normoxia and hypoxia, two non-supervised classification algorithms discriminated CLL patients with active disease (ADT) and stable disease (NAD) and showed complete consistency with their clinical characteristics. In ADT group under hypoxia, the potency of MG132 was increased, the interaction of ATO + VPA and ATO + VPA + VCR shifted towards antagonism, and ATO + VPA + VCR + MG132 shifted towards synergism, indicating a prominent role of mitochondrial proteostasis. Classification of patients based on DPS, depended on the contrasting response of drugs under hypoxia and normoxia, owing to HMR. Using these drugs as pharmacological sensors, we linked the metabolic arrangement of CLL cells under hypoxia, to potency of drugs targeting MRCSR, and to the clinical features of individual patients, therefore providing new sources of data on disease progression, drug response and risk prognosis.

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