OBJECTIVES: Among patients with cancer and other diseases, pain is a common experience that can negatively impact daily living. It is unclear whether pain experiences and their impact are diagnosis-specific or shared across conditions. We examined whether the United States general population-based PROMIS Pain Impact item bank can be used for measuring cancer pain, and the relationship between pain experience and pain impact. METHODS: PROMIS Pain Impact items included in field testing with oncology populations were selected through expert consensus. Multidisciplinary clinical input was obtained to ensure content coverage and the relevance of PROMIS pain items to cancer. Items’ psychometric properties were reviewed when applicable. As a result, PROMIS-Ca Pain Impact consisted of 36 items across 3 areas: physical, emotion and social. The sample included 529 cancer patients (74% female, 82% White, mean age=56). Analyses included item scalability (item-scale correlation >0.3), unidimensionality (exploratory and confirmatory factor analysis, and multidimensional scaling), and IRT model fit (S2-G2 & S2-X2). RESULTS: All 36 PROMIS-Ca Pain Impact items met preset analysis criteria to form a unidimensional item bank. Additional analyses showed that scores from Pain Impact were significantly correlated with Pain Quality items assessing pain intensity (r=0.56), frequency (r=0.58) and duration (r=0.64), and could significantly differentiate patients with different degrees of neuropathic pain, F(4527)=37.4, p<0.0001, emotional distress as measured by two items F(4472)=122.53, p<0.001, and F(4453)=74.94, p<0.001. Similar results were found regardless of whether patients based their responses on their “worst” or “least” pain experience. CONCLUSIONS: PROMIS-Ca Pain is a psychometrically-sound and clinically meaningful measure for cancer patients. It is correlated with patients’ pain experience. Our next step is to examine whether the same conclusion can be made with other disease groups. Ultimately, a statistical cross-walk of pain scores could be created to enable the comparison of pain scores between disease groups.