293 Background: We previously introduced a novel classification system for assessing “operability” in patients with localized pancreatic adenocarcinoma (PDAC) that integrates cancer biology, patient physiology, and tumor anatomy. We sought to analyze resection rates, reasons for no resection, and outcomes after neoadjuvant therapy (NT) of patients with both resectable anatomy and either “operable” or “borderline” biology/physiology. Methods: We evaluated consecutive patients (2002-2007) with radiographically resectable cancers treated with NT prior to potential resection. Borderline resectable anatomy (BR-A) was excluded. We compared clinical factors and outcomes of 217 patients classified by established criteria as “potentially resectable-operable” (PR-OP, no evidence of extrapancreatic disease, performance status [PS] ≤1); “borderline resectable-B” (BR-B, findings suspicious for extrapancreatic disease); or “borderline resectable-C” (BR-C, severe but reversible comorbidities or marginal PS ≥2). Results: 138 PR-OP, 41 BR-B, and 38 BR-C patients began NT. 62.7% of all patients underwent subsequent pancreatectomy. Resection rates after NT for PR-OP, BR-B, and BR-C were 74.6%, 46.3%, and 36.8%, respectively (p<0.001). Metastases were detected during NT in 23.0% of all patients and were the most common contraindication to resection in PR-OP (15.2%) and BR-B (46.3%) patients. PS rarely precluded surgery except in BR-C patients (31.6%). Factors independently predicting not utilizing surgery after NT were older age, poor PS, new pain medications, and complications on NT (p<0.05). Median OS of all patients was 20.9 (95% CI, 17.1-27.1) mo. Resected and unresected BR-B and BR-C patients had OS similar to that of PR-OP patients (resected medians 33.0, 39.8, 36.0 mo, respectively; unresected medians, 10.1, 12.6, 12.9 mo; p<0.001). Conclusions: Our operability classification system describes discrete clinical subgroups among PDAC patients with similar, resectable tumor anatomy but vastly heterogeneous physiology and cancer biology. It can be used with NT to predict outcomes, individualize treatment, and optimize survival rates.