Blockade of the pathway including Programmed death-ligand 1 (PD-L1) and its receptor Programmed cell death protein 1 (PD-1) has produced clinical benefits in patients with a variety of cancers. Elevated levels of soluble PD-L1 (sPD-L1) have been associated with worse prognosis in renal cell carcinoma and multiple myeloma. However, the regulatory roles and function of sPD-L1 particularly in connection with immune checkpoint blockade treatment are not fully understood. We identified four splice variants of PD-L1 in melanoma cells, and all of them are secreted. Secretion of sPD-L1 resulted from alternate splicing activities, cytokine induction, cell stress, cell injury and cell death in melanoma cells. Pretreatment levels of sPD-L1 were elevated in stage IV melanoma patient sera compared to healthy donors. High pre-treatment levels of sPD-L1 were associated with increased likelihood of progressive disease in patients treated by CTLA-4 or PD-1 blockade. Although changes in circulating sPD-L1 early after treatment could not distinguish responders from those with progressive disease, after five months of treatment by CTLA-4 or PD-1 blockade patients who had increased circulating sPD-L1 had greater likelihood of developing a partial response. Induction of sPD-L1 was associated with increased circulating cytokines after CTLA-4 blockade but not following PD-1 blockade. Circulating sPD-L1 is a prognostic biomarker that may predict outcomes for subgroups of patients receiving checkpoint inhibitors.

PURPOSE Effective management of fatigue in cancer patients requires a clear delineation of what constitutes nontrivial fatigue. We defined numeric cutpoints for fatigue severity based on functional interference and described fatigue’s prevalence and characteristics in cancer patients and survivors. METHODS In a multicenter study, outpatients with breast, prostate, colorectal, or lung cancer rated fatigue severity and symptom interference with functioning on the M. D. Anderson Symptom Inventory (MDASI) 0–10 scale. MDASI ratings of symptom interference guided selection of numeric rating cutpoints between mild, moderate, and severe fatigue levels. Regression analysis identified significant factors related to reporting moderate/severe fatigue. RESULTS The statistically optimal cutpoints were ≥4 for moderate fatigue and ≥7 for severe fatigue. Moderate/severe fatigue was reported by 45% (983/2177) of patients undergoing active treatment and was more likely to occur in patients taking strong opioids (odds ratio [OR], 3.00), had poor performance status (OR, 2.00), had >5% weight loss within 6 months (OR, 1.60), were taking >10 medications (OR, 1.58), had lung cancer (OR, 1.55), or had a history of depression (OR, 1.42). Among survivors (patients with complete remission or no evidence of disease, and no current cancer treatment), 29% (150/515) had moderate/severe fatigue that was associated with poor performance status (OR, 3.48) and a history of depression (OR, 2.21). CONCLUSION This study statistically defined fatigue-severity categories related to significantly increased symptom interference. The high prevalence of moderate/severe fatigue in both actively treated cancer patients and survivors warrants the promoting of routine assessment and management of patient-reported fatigue.

BACKGROUND A set of common cancer-related and treatment-related symptoms has been proposed for quality-of-care assessment and clinical research. Using data from a large, multicenter, prospective study, we assessed effects of disease site and stage on the percentages of patients rating these proposed symptoms as moderate to severe. METHODS The severity of 13 symptoms proposed to represent “core” oncology symptoms was rated by 3106 ambulatory patients with cancer of the breast, prostate, colon/rectum, or lung, regardless of disease stage or phase of care; 2801 patients (90%) repeated the assessment 4–5 weeks later. RESULTS At the initial assessment, approximately one third of the patients reported ≥3 symptoms in the moderate-to-severe range; 11 of the 13 symptoms were rated as moderate to severe by at least 10% of all patients and 6 by at least 20% of those in active treatment. Fatigue/tiredness was the most-severe symptom, followed by disturbed sleep, pain, dry mouth, and numbness/tingling. More lung cancer patients and patients in active treatment reported moderate-to-severe symptoms. Percentages of symptomatic patients increased by disease stage, less-adequate response to therapy, and declining performance status. Percentages of patients reporting moderate-to-severe symptoms were stable across both assessments. CONCLUSIONS These results support a core set of moderate-to-severe symptoms common across outpatients with solid tumors that can guide consideration of progression-free survival as a trial outcome and that should be considered in clinical care and in assessments of quality of care and treatment benefit.

BACKGROUND Obesity has been associated with inferior outcomes in operable breast cancer, but the relation between body mass index (BMI) and outcomes by breast cancer subtype has not been previously evaluated. METHODS The authors evaluated the relation between BMI and outcomes in 3 adjuvant trials coordinated by the Eastern Cooperative Oncology Group that included chemotherapy regimens with doxorubicin and cyclophosphamide, including E1199, E5188, and E3189. Results are expressed as hazard ratios (HRs) from Cox proportional hazards models (HR >1 indicates a worse outcome). All P values are 2-sided. RESULTS When evaluated as a continuous variable in trial E1199, increasing BMI within the obese (BMI, ≥30 kg/m2) and overweight (BMI, 25-29.9 kg/m2) ranges was associated with inferior outcomes in hormone receptor-positive, human epidermal growth receptor 2 (HER-2)/neu-negative disease for disease-free survival (DFS; P = .0006) and overall survival (OS; P = .0007), but not in HER-2/neu–overexpressing or triple-negative disease. When evaluated as a categorical variable, obesity was associated with inferior DFS (HR, 1.24; 95% confidence interval [CI], 1.06-1.46; P = .0008) and OS (HR, 1.37; 95% CI, 1.13-1.67; P = .002) in hormone receptor-positive disease, but not other subtypes. In a model including obesity, disease subtype, and their interaction, the interaction term was significant for OS (P = .02) and showed a strong trend for DFS (P = .07). Similar results were found in 2 other trials (E5188, E3189). CONCLUSIONS In a clinical trial population that excluded patients with significant comorbidities, obesity was associated with inferior outcomes specifically in patients with hormone receptor-positive operable breast cancer treated with standard chemohormonal therapy.