Literature DB >> 26927890

Clinical Relevance of Different Papillary Growth Patterns of Pulmonary Adenocarcinoma.

Arne Warth1, Thomas Muley, Alexander Harms, Hans Hoffmann, Hendrik Dienemann, Peter Schirmacher, Wilko Weichert.   

Abstract

Growth patterns of pulmonary adenocarcinoma (ADC) have high prognostic impact and are accepted as a novel classification 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: 67.1 mo, type 2: 56.8 mo, type 3: 49.9 mo, 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.

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Year:  2016        PMID: 26927890     DOI: 10.1097/PAS.0000000000000622

Source DB:  PubMed          Journal:  Am J Surg Pathol        ISSN: 0147-5185            Impact factor:   6.394


  13 in total

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2.  Spread Through Air Spaces (STAS) Is Prognostic in Atypical Carcinoid, Large Cell Neuroendocrine Carcinoma, and Small Cell Carcinoma of the Lung.

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3.  Spread through air spaces (STAS): prognostic impact of a semi-quantitative assessment.

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Journal:  J Thorac Dis       Date:  2017-07       Impact factor: 2.895

Review 4.  [Aerogenic tumor seeding : A new invasive criterion for lung carcinomas].

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Journal:  Pathologe       Date:  2018-05       Impact factor: 1.011

5.  Low-depth whole genome sequencing reveals copy number variations associated with higher pathologic grading and more aggressive subtypes of lung non-mucinous adenocarcinoma.

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6.  Spread through Air Spaces (STAS) Is an Independent Predictor of Recurrence and Lung Cancer-Specific Death in Squamous Cell Carcinoma.

Authors:  Shaohua Lu; Kay See Tan; Kyuichi Kadota; Takashi Eguchi; Sarina Bains; Natasha Rekhtman; Prasad S Adusumilli; William D Travis
Journal:  J Thorac Oncol       Date:  2016-09-28       Impact factor: 15.609

Review 7.  Spread through air spaces (STAS): a comprehensive update.

Authors:  Arne Warth
Journal:  Transl Lung Cancer Res       Date:  2017-10

8.  Papillary predominant histological subtype predicts poor survival in lung adenocarcinoma.

Authors:  Demet Yaldız; Arkın Acar; Şeyda Örs Kaya; Zekiye Aydoğdu; Soner Gürsoy; Sadık Yaldız
Journal:  Turk Gogus Kalp Damar Cerrahisi Derg       Date:  2019-06-21       Impact factor: 0.332

Review 9.  Controversies and challenges in the histologic subtyping of lung adenocarcinoma.

Authors:  Kelly J Butnor
Journal:  Transl Lung Cancer Res       Date:  2020-06

10.  Relationship between stromal cells and tumor spread through air spaces in lung adenocarcinoma.

Authors:  Xie Qiu; Donglai Chen; Yangyang Liu; Shanzhou Duan; Fuquan Zhang; Yongsheng Zhang; Feng Li; Chang Chen; Yongbing Chen
Journal:  Thorac Cancer       Date:  2019-01-03       Impact factor: 3.500

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