Literature DB >> 31447001

Toward improving prognosis prediction in patients undergoing small lung adenocarcinoma resection: Radiological and pathological assessment of diversity and intratumor heterogeneity.

Satoshi Koezuka1, Tetuo Mikami2, Naobumi Tochigi3, Atsushi Sano1, Yoko Azuma1, Takashi Makino1, Hajime Otsuka1, Keiko Matsumoto4, Nobuyuki Shiraga4, Akira Iyoda5.   

Abstract

OBJECTIVES: Prediction of prognosis based on the ground-glass opacity (GGO) ratio for small (≤2 cm) lung adenocarcinomas is not completely accurate. The aim of this study was to clarify the diversity of small adenocarcinomas and to identify ways to more accurately predict prognosis.
MATERIALS AND METHODS: We retrospectively reviewed 62 patients (64 lesions) that underwent lobectomy for small (≤2 cm) lung adenocarcinoma. Proportions of histological components were measured and the presence of tumor spread through air spaces (STAS) was assessed. The correlations between GGO and histological components were examined. Furthermore, histological components of pure GGO lesions were analyzed using CT values. The intratumor heterogeneity of programmed death ligand 1 (PD-L1) expression was analyzed in 40 lesions. Furthermore, the relationship between CT/histological findings and prognoses was analyzed.
RESULTS: In 13 pure GGO lesions, 7 (53.8%) lesions contained invasive components such as papillary, acinar, solid, and colloid. Tumor spread through air spaces (STAS) was also found in pure GGO lesions. Pure GGO lesions containing invasive components (p =  0.002) and STAS-positive lesions (p =  0.011) demonstrated strongly higher CT value. Differences in expression of PD-L1 among histological subtypes were observed in four of six (66.7%) PD-L1 positive lesions. Patients with papillary component, positivity for STAS, or CT value ≥ -140.6 Hounsfield units (HU) had significant poorer prognoses than patients without those in disease-free survival analyses (p =  0.007, p =  0.048, p = 0.012). Patients with the CT value < -383.4 HU and GGO ≥ 50% did not have recurrence.
CONCLUSIONS: Invasive component and STAS can be present even in small GGO lesions, and patients with papillary components or STAS showed significantly poorer prognoses. STAS-positive lesions were strongly associated with a high CT value, and combined use of GGO ratio and CT value may be able to predict recurrences of lung cancer more accurately.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adenocarcinoma; Diversity; Ground-glass opacity; Intratumor heterogeneity; Programmed cell death ligand 1 expression

Mesh:

Substances:

Year:  2019        PMID: 31447001     DOI: 10.1016/j.lungcan.2019.06.023

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  5 in total

1.  Clinicopathological Impact of the Spread through Air Space in Non-Small Cell Lung Cancer: A Meta-Analysis.

Authors:  Jung-Soo Pyo; Nae Yu Kim
Journal:  Diagnostics (Basel)       Date:  2022-04-28

Review 2.  Spread Through Air Spaces (STAS) in Lung Cancer: A Multiple-Perspective and Update Review.

Authors:  Meng Jia; Shili Yu; Hongwen Gao; Ping-Li Sun
Journal:  Cancer Manag Res       Date:  2020-04-23       Impact factor: 3.989

3.  Combination of mean CT value and maximum CT value as a novel predictor of lepidic predominant lesions in small lung adenocarcinoma presenting as solid nodules.

Authors:  Satoshi Koezuka; Atsushi Sano; Yoko Azuma; Takashi Sakai; Keiko Matsumoto; Nobuyuki Shiraga; Tetuo Mikami; Naobumi Tochigi; Yoshitaka Murakami; Akira Iyoda
Journal:  Sci Rep       Date:  2022-03-31       Impact factor: 4.379

4.  The pattern of lymph node metastasis in peripheral pulmonary nodules patients and risk prediction models.

Authors:  Lei Ke; Honghai Ma; Qingyi Zhang; Yiqing Wang; Pinghui Xia; Li Yu; Wang Lv; Jian Hu
Journal:  Front Surg       Date:  2022-08-09

5.  Role of ground-glass opacity in pure invasive and lepidic component in pure solid lung adenocarcinoma for predicting aggressiveness.

Authors:  Takahiro Mimae; Yoshihiro Miyata; Yasuhiro Tsutani; Yoshihisa Shimada; Hiroyuki Ito; Haruhiko Nakayama; Norihiko Ikeda; Morihito Okada
Journal:  JTCVS Open       Date:  2022-05-02
  5 in total

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