Sex Differences in Efficacy and Toxicity of Systemic Treatments: An Undervalued Issue in the Era of Precision Oncology

The programmed death 1 (PD-1) receptor and its ligands programmed death ligand 1 (PD-L1) and PD-L2, members of the CD28 and B7 families, play critical roles in T cell coinhibition and exhaustion. Overexpression of PD-L1 and PD-1 on tumor cells and tumor-infiltrating lymphocytes, respectively, correlates with poor disease outcome in some human cancers. Monoclonal antibodies (mAbs) blockading the PD-1/PD-L1 pathway have been developed for cancer immunotherapy via enhancing T cell functions. Clinical trials with mAbs to PD-1 and PD-L1 have shown impressive response rates in patients, particularly for melanoma, non-small-cell lung cancer (NSCLC), renal cell carcinoma (RCC), and bladder cancer. Further studies are needed to dissect the mechanisms of variable response rate, to identify biomarkers for clinical response, to develop small-molecule inhibitors, and to combine these treatments with other therapies. Copyright © 2014 Elsevier Ltd. All rights reserved.

Significant differences that exist between the sexes affect the prevalence, incidence and severity of a broad range of diseases and conditions. Men and women also differ in their response to drug treatment. It is therefore essential to understand these reactions in order to appropriately conduct risk assessment and to design safe and effective treatments. Even from that modest perspective, how and when we use drugs can result in unwanted and unexpected outcomes. This review summarizes the sex-based differences that impact on pharmacokinetics, and includes a general comparison of clinical pharmacology as it applies to men, women and pregnant women. Sex-related or pregnancy-induced changes in drug absorption, distribution, metabolism and elimination, when significant, may guide changes in dosage regimen or therapeutic monitoring to increase its effectiveness or reduce potential toxicity. Given those parameters, and our knowledge of sex differences, we can derive essentially all factors necessary for therapeutic optimization. Since this is a rapidly evolving area, it is essential for the practitioner to review drug prescribing information and recent literature in order to fully understand the impact of these differences on clinical therapeutics.