Clinical relevance of different papillary growth patterns of pulmonary adenocarcinoma

Arne Warth, Thomas Muley, Alexander Harms, Hans Hoffmann, Hendrik Dienemann, Peter Schirmacher, Wilko Weichert

Research output: Contribution to journalArticlepeer-review

27 Scopus citations


Growth patterns of pulmonary adenocarcinoma (ADC) have high prognostic impact and are accepted as a novel classi-fication system for this entity. However, specifically for the papillary pattern, divergent data with respect to prevalence, clinical associations, and prognostic impact have been reported. By evaluating 674 resected pulmonary ADCs containing 308 cases with a papillary component and 101 papillary predominant cases, we documented differences in the morphologic composition of papillary growth patterns and delineated 3 different types. The different types were correlated with pathologic and clinical data including survival. Type 3 papillary cases with any or predominant papillary growth were associated with extensive spread through alveolar spaces, high proliferation, higher stage, low rates of EGFR mutations, and smoking, whereas type 1 papillary tumors showed the opposite associations. The subclassification of papillary growth revealed type-specific associations for overall and disease-free survival (disease-free survival type 1: 67.1mo, type 2: 56.8mo, type 3: 49.9mo, P=0.025). The presence of any papillary type 3 pattern was a predominant pattern independent predictor of worse overall survival (hazard ratio=2.5, P=0.02). For a future grading system of lung ADC, categorization of papillary growth in 1 single category might not be adequate, as this pattern contains a heterogenous mix of tumors with a divergent prognosis. We suggest that papillary pattern types should be separated to further improve the prognostic power of ADC growth pattern analysis.

Original languageEnglish
Pages (from-to)818-826
Number of pages9
JournalAmerican Journal of Surgical Pathology
Issue number6
StatePublished - 2016


  • Adenocarcinoma
  • Lung cancer
  • Papillary
  • Pattern
  • Prognosis


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