Patient-reported outcomes for determining prognostic groups in veterans with stage IV solid tumors starting systemic therapy.

Abstract

48 Background: A Recursive Partitioning Analysis (RPA) prognostic algorithm based on quality of life and symptoms predicted 4 groups with distinct median survivals in patients with metastatic solid tumors receiving chemotherapy (ASCO 2013, Abst 9567). We update our findings. Methods: The RPA algorithm is based upon Karnofsky performance status (KPS), Functional Assessment of Cancer Therapy (FACT) physical well-being (PWB) subscale, and Memorial Symptom Assessment Scale Short Form (MSAS-SF) physical symptom distress (PHYS) subscale. Starting in 2007, a convenience sample of Veterans who were prescribed systemic treatment for their cancer was enrolled in an IRB approved protocol, and completed quality of life (FACT- G) and symptom (MSAS SF) questionnaires at the first cycle of treatment. We analyzed records of patients with stage IV metastatic solid tumors enrolled through June 2013, and determined survival as of June 15, 2014. Analyses were performed with STATA 11.0. Results: There were 97 patients(pts). The median age was 64 yrs, range 27-88. Males comprised 95 (98%) pts. First line chemotherapy was given to 78 (80%) pts. The most common primary sites were lung cancer 33 (35%), prostate 17 (17%) and colon 11 (11%) pts. Median KPS was 90% range 40-100%, PWB median 23 (range 6-28), and MSAS SF median PHYS 0.76 (range 0-3.2). Overall median survival was 285 days (range 6-2,358) and 80 pts (82%) had died. There was 1 pt in group 1, 58 in group 2, 12 in group 3, and 23 in group 4. The patient in group 1 had uterine sarcoma. Median survival (days) by RPA group was 155 for group 1, 177 for group 2, 292 for group 3, and 674 for group 4 (p=.011). Conclusions: These preliminary findings suggest that this algorithm is capable of dividing patients with metastatic solid tumor who are starting systemic therapy into prognostic groups. Further development is indicated.