Literature DB >> 26617762

Variation in the expression levels of predictive chemotherapy biomarkers in histological subtypes of lung adenocarcinoma: an immunohistochemical study of tissue samples.

Yuichi Fujimoto1, Shinsaku Togo1, Miniwan Tulafu1, Kazue Shimizu1, Takuo Hayashi2, Toshimasa Uekusa3, Yuichirou Honma1, Yukiko Namba1, Kazuya Takamochi4, Shiaki Oh4, Kenji Suzuki4, Kazuhisa Takahashi1.   

Abstract

BACKGROUND: Lung adenocarcinoma is often composed of a complex and heterogeneous mixture of histological subtypes. Invasive adenocarcinomas are now classified by their predominant pattern, using the comprehensive histological subtyping of the International Association for the Study of Lung Cancer (IASLC), the American Thoracic Society (ATS), and the European Respiratory Society (ERS) classifications. This study aimed to determine whether the expression levels of predictive chemotherapy biomarkers are associated with the histological subtypes proposed by the IASLC/ATS/ERS classification.
MATERIALS AND METHODS: We reviewed data on representative tissue samples from 27 patients who received surgical resection and the expression of excision repair cross complementation group 1 (ERCC1), class III β-tubulin, thymidylate synthase (TS), ribonucleotide reductase M1 (RRM1), and c-Met were examined using immunostaining on tumor tissue slides. We assessed immunohistochemical H-scores, as calculated from the intensity and distribution of intratumor expression, according to the IASLC/ATS/ERS histological subtype.
RESULTS: The expression levels of predictive chemotherapy biomarkers varied according to histological subtype. The H-scores of TS and class III β-tubulin expression levels were higher in solid-type components than they were in lepidic-type components Tumors with solid predominant histology tended to recur earlier than non-solid predominant tumors. However, none of the H-scores in histologically predominant tissues was significantly associated with staging or overall survival.
CONCLUSIONS: Immunohistochemical H-scores of the predictive chemotherapy biomarkers were strongly associated with histological subtype. The presence of a solid subtype, which was associated with poor outcomes, might be assessed by measuring these biomarkers in mixed subtype adenocarcinomas.

Entities:  

Keywords:  Class III β-tubulin; Thymidylate synthase; c-Met; excision repair cross complementation group 1; immunohistochemistry; ribonucleotide reductase M1

Mesh:

Substances:

Year:  2015        PMID: 26617762      PMCID: PMC4637577     

Source DB:  PubMed          Journal:  Int J Clin Exp Pathol        ISSN: 1936-2625


  34 in total

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Journal:  Cancer       Date:  2006-10-01       Impact factor: 6.860

4.  Role of dihydropyrimidine dehydrogenase inhibitory fluoropyrimidine against non-small cell lung cancer--in correlation with the tumoral expression of thymidylate synthase and dihydropyrimidine dehydrogenase.

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5.  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.

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7.  Clinical application of biological markers for treatments of resectable non-small-cell lung cancers.

Authors:  C Huang; D Liu; D Masuya; T Nakashima; K Kameyama; S Ishikawa; M Ueno; R Haba; H Yokomise
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8.  Expression of c-met/HGF receptor in human non-small cell lung carcinomas in vitro and in vivo and its prognostic significance.

Authors:  E Ichimura; A Maeshima; T Nakajima; T Nakamura
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9.  The tumour-stromal interaction between intratumoral c-Met and stromal hepatocyte growth factor associated with tumour growth and prognosis in non-small-cell lung cancer patients.

Authors:  D Masuya; C Huang; D Liu; T Nakashima; K Kameyama; R Haba; M Ueno; H Yokomise
Journal:  Br J Cancer       Date:  2004-04-19       Impact factor: 7.640

10.  Association between TYMS expression and efficacy of pemetrexed-based chemotherapy in advanced non-small cell lung cancer: a meta-analysis.

Authors:  Ting Wang; Chang Chuan Pan; Jing Rui Yu; Yu Long; Xiao Hong Cai; Xu De Yin; Li Qiong Hao; Li Li Luo
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  1 in total

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