Early fatigue in cancer patients receiving PD-1/PD-L1 checkpoint inhibitors: an insight from clinical practice.

BACKGROUND: Fatigue was reported as the most common any-grade adverse event (18.3%), and the most common grade 3 or higher immune-related adverse event (irAE) (0.89%) in patients receiving PD-1/PD-L1 checkpoint inhibitors in clinical trial. METHODS: The aim of this retrospective multicenter study was to evaluate the correlations between "early ir-fatigue", "delayed ir-fatigue", and clinical outcomes in cancer patients receiving PD-1/PD-L1 inhibitors in clinical practice. RESULTS: 517 patients were evaluated. After the 12-weeks landmark selection, 386 (74.7%) patients were eligible for the clinical outcomes analysis. 40.4% were NSCLC, 42.2% were melanoma, 15.3% renal cell carcinoma and 2.1% other malignancies. 76 patients (19.7%) experienced early ir-fatigue (within 1 month from treatment commencement), while 150 patients (38.9%) experienced delayed ir-fatigue. Early ir-fatigue was significantly related to shortened PFS (HR = 2.29 [95% CI 1.62-3.22], p < 0.0001) and OS (HR = 2.32 [95% CI 1.59-3.38], p < 0.0001) at the multivariate analysis. On the other hand, we found a significant association between the occurrence of early ir-fatigue, ECOG-PS ≥ 2 (p < 0.0001), and disease burden (p = 0.0003). Delayed ir-fatigue was not significantly related to PFS nor OS. CONCLUSIONS: Early ir-fatigue seems to be negative prognostic parameter, but to proper weight its role we must to consider the predominant role of performance status, which was related to early ir-fatigue in the study population.

A nomogram to predict 5-fluorouracil toxicity: when pharmacogenomics meets the patient.

Fluoropyrimidines combined with other agents are commonly used for gastrointestinal cancer treatment. Considering that severe toxicities occur in 30% of patients, we aimed to structure a nomogram to predict toxicity, based on metabolic parameter and patients' characteristics. We retrospectively enrolled patients affected by gastrointestinal tract cancers. Pretreatment 5-fluorouracil (5-FU) degradation rate and DPYD, TSER, MTHFR A1298T, and C677T gene polymorphisms were characterized. Data on toxicities were collected according to CTCAE v3.0. Multivariate logistic regression analysis was used to structure a nomogram. 642 patients were enrolled (384 men; 258 female; median age: 67 years, range: 27-87): 449 (69.9%) patients were affected by colorectal cancer; 118 (18.4%) by gastroesophageal cancer; 66 (10.3%) by pancreatic cancer; and nine (1.4%) by other cancers. Grade 3-4 toxicities were observed in 118 (18.4%) patients and were most frequently observed in patients with altered 5-FU degradation rate (43.5 and 26.7% of the patients in the poor metabolizer and in the ultrarapid metabolizer group respectively, vs. 17% in the normal metabolizer group) and in DPYD heterozygous mutated patients (83.3% of the patients). Age, DPYD status, the number of drugs administered, and 5-FU degradation rate value were associated to severe toxicities. On the basis of these findings, we structured a nomogram to assess a score to predict the risk of developing severe toxicity. Compared with the available pharmacogenetic tests, this approach can be applied to the whole population, predicting the risk for severe toxicity, with an easy, low-cost, and not invasive technique.