Literature DB >> 11713138

Grading of tumor regression in non-small cell lung cancer : morphology and prognosis.

K Junker1, K Langner, F Klinke, U Bosse, M Thomas.   

Abstract

OBJECTIVE: Different types of multimodality therapy, including chemoradiotherapy and surgery, increasingly are being used for the treatment of patients with locally advanced non-small cell lung cancer (NSCLC; stages IIIA and IIIB). In this context, the applicability of a morphologic regression grading and its prognostic value were investigated. PATIENTS AND METHODS: In a multicenter phase II trial, 54 patients with locally advanced NSCLC received neoadjuvant bimodality treatment (ie, two cycles of ifosfamide, carboplatin, and etoposide, followed by twice-daily radiation up to 45 Gy with simultaneous administration of carboplatin and vindesine). Forty patients underwent resections. Using the corresponding resection specimens of the primary and regional lymph nodes, the following regression grading was established: grade I, no regression or only spontaneous tumor regression; grade II, morphologic evidence of therapy-induced tumor regression with at least 10% (grade IIa) or < 10% (grade IIb) vital tumor tissue; and grade III, complete tumor regression with no evidence of vital tumor tissue. Regression grading then was correlated with the survival time.
RESULTS: Three tumors were classified as regression grade I, 10 were classified as regression grade IIa, 20 were classified as regression grade IIb, and 7 were classified as regression grade III. Patients with tumors of regression grades IIb or III showed significantly longer survival times than those with tumors of regression grades I or IIa (median survival time, 36 vs 14 months, respectively; 3-year survival rate, 52% vs 9%, respectively; p = 0.02). These survival times were also compared for patients who had undergone complete resection (median survival time, not reached vs 23 months, respectively; 3-year survival rate, 56% vs 11%, respectively; p = 0.03). The presurgical clinical response after patients had received neoadjuvant multimodality therapy had no predictive value in assessing the extent of therapy-induced tumor regression in the resection specimen.
CONCLUSIONS: After neoadjuvant therapy of patients with NSCLC, the proposed tumor regression grading was of predictive value for long-term survival. Beyond the achievement of complete tumor resection (R0), a therapy-induced tumor regression of < 10% of vital tumor tissue is pivotal for superior long-term outcomes.

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Mesh:

Year:  2001        PMID: 11713138     DOI: 10.1378/chest.120.5.1584

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  46 in total

1.  [Cellular changes in non-small cell lung cancer after neoadjuvant therapy].

Authors:  K Junker; K-M Müller; S Abker; U Bosse; F Klinke; M Thomas
Journal:  Pathologe       Date:  2004-05       Impact factor: 1.011

2.  [Regression of oesophageal carcinomas after neoadjuvant radiochemotherapy: criteria of the histopathological evaluation].

Authors:  S E Baldus; S P Mönig; W Schröder; R Metzger; S Lang; T K Zirbes; J Thiele; R P Müller; H P Dienes; A H Hölscher; P M Schneider
Journal:  Pathologe       Date:  2004-11       Impact factor: 1.011

3.  Pathologic Assessment After Neoadjuvant Chemotherapy for NSCLC: Importance and Implications of Distinguishing Adenocarcinoma From Squamous Cell Carcinoma.

Authors:  Yang Qu; Katsura Emoto; Takashi Eguchi; Rania G Aly; Hua Zheng; Jamie E Chaft; Kay See Tan; David R Jones; Mark G Kris; Prasad S Adusumilli; William D Travis
Journal:  J Thorac Oncol       Date:  2018-11-29       Impact factor: 15.609

4.  PET-CT in the staging and treatment of non-small-cell lung cancer.

Authors:  Patricia Ibeas; Blanca Cantos; José Manuel Gasent; Begoña Rodríguez; Mariano Provencio
Journal:  Clin Transl Oncol       Date:  2011-06       Impact factor: 3.405

5.  Survivin mRNA Level in Blood Predict the Efficacy of Neoadjuvant Chemotherapy in Patients with Stage IIIA-N2 Non-Small Cell Lung Cancer.

Authors:  Yi-Ming Hu; Jing Li; Li-Chao Yu; Shun-Bing Shi; Yong-Jie Du; Jian-Nong Wu; Wei Lin Shi
Journal:  Pathol Oncol Res       Date:  2014-07-01       Impact factor: 3.201

Review 6.  Monitoring chemotherapy and radiotherapy of solid tumors.

Authors:  Wolfgang A Weber; Hinrich Wieder
Journal:  Eur J Nucl Med Mol Imaging       Date:  2006-07       Impact factor: 9.236

Review 7.  [Therapy-induced tumor regression and regression grading in lung cancer].

Authors:  K Junker
Journal:  Pathologe       Date:  2014-11       Impact factor: 1.011

8.  [Apoptosis and tumor regression in locally advanced non-small cell lung cancer with neoadjuvant therapy].

Authors:  K Junker; K-M Müller; U Bosse; F Klinke; A Heinecke; M Thomas
Journal:  Pathologe       Date:  2003-03-13       Impact factor: 1.011

9.  [Small cell lung cancer: pathology and molecular pathology].

Authors:  K Junker; I Petersen
Journal:  Pathologe       Date:  2009-03       Impact factor: 1.011

Review 10.  Histopathological markers of treatment response and recurrence risk in ovarian cancers and borderline tumors.

Authors:  S Avril
Journal:  Pathologe       Date:  2017-11       Impact factor: 1.011

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