Literature DB >> 22499226

A grading system combining architectural features and mitotic count predicts recurrence in stage I lung adenocarcinoma.

Kyuichi Kadota1, Kei Suzuki, Stefan S Kachala, Emily C Zabor, Camelia S Sima, Andre L Moreira, Akihiko Yoshizawa, Gregory J Riely, Valerie W Rusch, Prasad S Adusumilli, William D Travis.   

Abstract

The International Association for the Study of Lung Cancer (IASLC)/American Thoracic Society (ATS)/European Respiratory Society (ERS) has recently proposed a new lung adenocarcinoma classification. We investigated whether nuclear features can stratify prognostic subsets. Slides of 485 stage I lung adenocarcinoma patients were reviewed. We evaluated nuclear diameter, nuclear atypia, nuclear/cytoplasmic ratio, chromatin pattern, prominence of nucleoli, intranuclear inclusions, mitotic count/10 high-power fields (HPFs) or 2.4 mm(2), and atypical mitoses. Tumors were classified into histologic subtypes according to the IASLC/ATS/ERS classification and grouped by architectural grade into low (adenocarcinoma in situ, minimally invasive adenocarcinoma, or lepidic predominant), intermediate (papillary or acinar), and high (micropapillary or solid). Log-rank tests and Cox regression models evaluated the ability of clinicopathologic factors to predict recurrence-free probability. In univariate analyses, nuclear diameter (P=0.007), nuclear atypia (P=0.006), mitotic count (P<0.001), and atypical mitoses (P<0.001) were significant predictors of recurrence. The recurrence-free probability of patients with high mitotic count (≥5/10 HPF: n=175) was the lowest (5-year recurrence-free probability=73%), followed by intermediate (2-4/10 HPF: n=106, 80%), and low (0-1/10 HPF: n=204, 91%, P<0.001). Combined architectural/mitotic grading system stratified patient outcomes (P<0.001): low grade (low architectural grade with any mitotic count and intermediate architectural grade with low mitotic count: n=201, 5-year recurrence-free probability=92%), intermediate grade (intermediate architectural grade with intermediate-high mitotic counts: n=206, 78%), and high grade (high architectural grade with any mitotic count: n=78, 68%). The advantage of adding mitotic count to architectural grade is in stratifying patients with intermediate architectural grade into two prognostically distinct categories (P=0.001). After adjusting for clinicopathologic factors including sex, stage, pleural/lymphovascular invasion, and necrosis, mitotic count was not an independent predictor of recurrence (P=0.178). However, patients with the high architectural/mitotic grade remained at significantly increased risk of recurrence (high vs low: P=0.005) after adjusting for clinical factors. We proposed this combined architectural/mitotic grade for lung adenocarcinoma as a practical method that can be applied in routine practice.

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Year:  2012        PMID: 22499226      PMCID: PMC4382749          DOI: 10.1038/modpathol.2012.58

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  38 in total

1.  Computed tomographic images reflect the biologic behavior of small lung adenocarcinoma: they correlate with cell proliferation, microvascularization, cell adhesion, degradation of extracellular matrix, and K-ras mutation.

Authors:  Boming Dong; Masami Sato; Akira Sakurada; Motoyasu Sagawa; Chiaki Endo; Shulin Wu; Sumitaka Yamanaka; Akira Horii; Takashi Kondo
Journal:  J Thorac Cardiovasc Surg       Date:  2005-09       Impact factor: 5.209

2.  Prognostic ability of simplified nuclear grading of renal cell carcinoma.

Authors:  Nathalie Rioux-Leclercq; Pierre I Karakiewicz; Quoc-Dien Trinh; Vincenzo Ficarra; Luca Cindolo; Alexandre de la Taille; Jacques Tostain; Richard Zigeuner; Arnaud Mejean; Jean-Jacques Patard
Journal:  Cancer       Date:  2007-03-01       Impact factor: 6.860

3.  Prognostic significance of histomorphologic parameters in diffuse malignant peritoneal mesothelioma.

Authors:  Carlos A Cerruto; Erwin A Brun; David Chang; Paul H Sugarbaker
Journal:  Arch Pathol Lab Med       Date:  2006-11       Impact factor: 5.534

4.  Breast carcinoma malignancy grading by Bloom-Richardson system vs proliferation index: reproducibility of grade and advantages of proliferation index.

Authors:  John S Meyer; Consuelo Alvarez; Clara Milikowski; Neal Olson; Irma Russo; Jose Russo; Andrew Glass; Barbara A Zehnbauer; Karen Lister; Reza Parwaresch
Journal:  Mod Pathol       Date:  2005-08       Impact factor: 7.842

5.  International lung cancer trends by histologic type: male:female differences diminishing and adenocarcinoma rates rising.

Authors:  Susan S Devesa; Freddie Bray; A Paloma Vizcaino; D Max Parkin
Journal:  Int J Cancer       Date:  2005-11-01       Impact factor: 7.396

6.  Cytologic factors associated with prognosis in patients with peripheral adenocarcinoma of the lung measuring 3 cm or less in greatest dimension.

Authors:  Yukihiro Kobayashi; Tomoyuki Yokose; Kimihiko Kawamura; Seiji Iwasaki; Yukinori Murata; Shinkichi Onuma; Takahiro Hasebe; Kanji Nagai; Satoshi Sasaki; Atsushi Ochiai
Journal:  Cancer       Date:  2005-02-25       Impact factor: 6.860

7.  A grading system of lung adenocarcinomas based on histologic pattern is predictive of disease recurrence in stage I tumors.

Authors:  Gabriel Sica; Akihiko Yoshizawa; Camelia S Sima; Christopher G Azzoli; Robert J Downey; Valerie W Rusch; William D Travis; Andre L Moreira
Journal:  Am J Surg Pathol       Date:  2010-08       Impact factor: 6.394

8.  Apoptosis and cell proliferation correlated with tumor grade in patients with lung adenocarcinoma.

Authors:  A Kalogeraki; M Tzardi; O Zoras; E Giannikaki; M Papadakis; D Tamiolakis; P E Petraki; A Diamantis; N Siafakas; E Stathopoulos
Journal:  In Vivo       Date:  2010 Sep-Oct       Impact factor: 2.155

9.  Cytopathologic factors can predict invasion in small-sized peripheral lung adenocarcinoma with a bronchioloalveolar carcinoma component.

Authors:  Naoki Maezawa; Koji Tsuta; Yasuo Shibuki; Shigeki Yamazaki; Akiko M Maeshima; Shun-ichi Watanabe; Yoshihiro Matsuno
Journal:  Cancer       Date:  2006-12-25       Impact factor: 6.860

10.  Clinically relevant characterization of lung adenocarcinoma subtypes based on cellular pathways: an international validation study.

Authors:  Christopher M Bryant; Daniel L Albertus; Sinae Kim; Guoan Chen; Christian Brambilla; Mickael Guedj; Chinatsu Arima; William D Travis; Yasushi Yatabe; Takashi Takahashi; Elisabeth Brambilla; David G Beer
Journal:  PLoS One       Date:  2010-07-22       Impact factor: 3.240

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  52 in total

1.  Tumor Budding Correlates With the Protumor Immune Microenvironment and Is an Independent Prognostic Factor for Recurrence of Stage I Lung Adenocarcinoma.

Authors:  Kyuichi Kadota; Yi-Chen Yeh; Jonathan Villena-Vargas; Leonid Cherkassky; Esther N Drill; Camelia S Sima; David R Jones; William D Travis; Prasad S Adusumilli
Journal:  Chest       Date:  2015-09       Impact factor: 9.410

Review 2.  [Grading of lung cancer].

Authors:  R M Bohle; P A Schnabel
Journal:  Pathologe       Date:  2016-07       Impact factor: 1.011

Review 3.  [The new TNM classification for lung tumors : Changes and the assessment of multiple tumor foci].

Authors:  A Harms; M Kriegsmann; L Fink; F Länger; A Warth
Journal:  Pathologe       Date:  2017-02       Impact factor: 1.011

4.  Deciphering intra-tumor heterogeneity of lung adenocarcinoma confirms that dominant, branching, and private gene mutations occur within individual tumor nodules.

Authors:  Giuseppe Pelosi; Alessio Pellegrinelli; Alessandra Fabbri; Elena Tamborini; Federica Perrone; Giulio Settanni; Adele Busico; Benedetta Picciani; Maria Adele Testi; Lucia Militti; Patrick Maisonneuve; Barbara Valeri; Angelica Sonzogni; Claudia Proto; Marina Garassino; Filippo De Braud; Ugo Pastorino
Journal:  Virchows Arch       Date:  2016-04-07       Impact factor: 4.064

5.  Associations between mutations and histologic patterns of mucin in lung adenocarcinoma: invasive mucinous pattern and extracellular mucin are associated with KRAS mutation.

Authors:  Kyuichi Kadota; Yi-Chen Yeh; Sandra P D'Angelo; Andre L Moreira; Deborah Kuk; Camelia S Sima; Gregory J Riely; Maria E Arcila; Mark G Kris; Valerie W Rusch; Prasad S Adusumilli; William D Travis
Journal:  Am J Surg Pathol       Date:  2014-08       Impact factor: 6.394

6.  What is better/reliable, mitosis counting or Ki67/MIB1 staining?

Authors:  Mark Kriegsmann; Arne Warth
Journal:  Transl Lung Cancer Res       Date:  2016-10

7.  Inverse correlation between galectin-4 and TTF-1 in lung adenocarcinoma.

Authors:  Kieko Hara; Tsuyoshi Saito; Takuo Hayashi; Keiko Mitani; Kazuya Takamochi; Shiaki Oh; Kenji Suzuki; Takashi Yao
Journal:  Virchows Arch       Date:  2017-07-19       Impact factor: 4.064

Review 8.  Unraveling tumor grading and genomic landscape in lung neuroendocrine tumors.

Authors:  Giuseppe Pelosi; Mauro Papotti; Guido Rindi; Aldo Scarpa
Journal:  Endocr Pathol       Date:  2014-06       Impact factor: 3.943

9.  Thyroid transcription factor-1 expression is an independent predictor of recurrence and correlates with the IASLC/ATS/ERS histologic classification in patients with stage I lung adenocarcinoma.

Authors:  Kyuichi Kadota; Jun-Ichi Nitadori; Inderpal S Sarkaria; Camelia S Sima; Xiaoyu Jia; Akihiko Yoshizawa; Valerie W Rusch; William D Travis; Prasad S Adusumilli
Journal:  Cancer       Date:  2012-10-23       Impact factor: 6.860

10.  Lepidic and micropapillary growth pattern and expression of Napsin A can stratify patients of stage I lung adenocarcinoma into different prognostic subgroup.

Authors:  Xin Yang; Yu Liu; Fang Lian; Lei Guo; Peng Wen; Xiu-Yun Liu; Dong-Mei Lin
Journal:  Int J Clin Exp Pathol       Date:  2014-03-15
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