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Comparative Study
. 2016 Feb;95(6):e2795.
doi: 10.1097/MD.0000000000002795.

Distinctive Patterns of Initially Presenting Metastases and Clinical Outcomes According to the Histological Subtypes in Stage IV Non-Small Cell Lung Cancer

Affiliations
Comparative Study

Distinctive Patterns of Initially Presenting Metastases and Clinical Outcomes According to the Histological Subtypes in Stage IV Non-Small Cell Lung Cancer

Dong Soo Lee et al. Medicine (Baltimore). 2016 Feb.

Erratum in

Abstract

This study was designed to compare the primary patterns of metastases and clinical outcomes between adenocarcinoma (Adenoca) and squamous cell carcinoma (SQ) in initially diagnosed stage IV non-small cell lung cancer (NSCLC).Between June 2007 and June 2013, a total of 427 eligible patients were analyzed. These patients were histologically confirmed as Adenoca or SQ and underwent systemic imaging studies, including 18F-fluorodeoxyglucose positron emission tomography/computed tomography and brain imaging. Synchronous metastatic sites were categorized into 7 areas, and whole-body metastatic scores were calculated from 1 to 7 by summation of each involved region. We compared the patient, tumor, and metastatic characteristics according to the histological subtypes, and examined clinical outcomes.The enrolled study cohort comprised 81% (n = 346) Adenoca patients and 19% (n = 81) SQ patients. The median age of the study population was 65 years (range, 30-94 years), and 263 (61.6%) patients were male. The most common metastatic sites were thoracic lymph nodes (LNs) (84.3%), followed by lung to lung/lymphangitic spread (59%) and bone (54.8%). The distribution of patient characteristics revealed that age ≥65 years (69.1% vs 50.6%; P = 0.003) and male sex (84% vs 56.4%; P < 0.001) were more frequently found in SQ patients. Regarding metastatic features, bone metastasis (60.4% vs 30.9%; P < 0.001), lung to lung/lymphangitic metastasis (63% vs 42%; P = 0.001), and brain metastasis (35% vs 16%; P = 0.001) were significantly and more frequently found in Adenoca patients. Patients with high metastatic scores (score 3-6) were more frequently found to have Adenoca (91.6% vs 73.4%; P < 0.001). In multivariate prognostic evaluation, sex (P = 0.001), age (P < 0.001), histology (P < 0.001), LN status (P = 0.032), pleural/pericardial metastasis (P = 0.003), abdomen/pelvis metastasis (P < 0.001), axilla/neck metastasis (P = 0.006), and treatment factors (P < 0.001) remained independent prognostic factors affecting overall survival.We observed distinctive patterns of primary metastases and clinical outcomes according to the histological subtypes in stage IV NSCLC. Future studies need to disclose the underlying mechanism of these unique metastatic features and tumor biologies.

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Conflict of interest statement

The authors have no conflicts of interest to disclose.

Figures

FIGURE 1
FIGURE 1
Overall survival curves according to the EGFR mutation status and administered treatment in the Adenoca subgroup with available EGFR mutation statuses and treatment factors (n = 184, P < 0.001). Total number of patients in each group was as follows: EGFR mutation (+)/TKI (+) = 68; EGFR mutation (−)/TKI (+) = 49; EGFR mutation (+)/chemotherapy only = 11; and EGFR mutation (−)/chemotherapy only = 56.
FIGURE 2
FIGURE 2
Overall survival curves according to the histological subtype (N = 427: Adenoca = 346 and SQ = 81, P < 0.001).

References

    1. Edge SB. AJCC Cancer Staging Handbook: From the AJCC Cancer Staging Manual (Edge, AJCC Cancer Staging Handbook). 7th edNew York: Springer; 2010.
    1. Torre LA, Bray F, Siegel RL, et al. Global cancer statistics, 2012. CA Cancer J Clin 2015; 65:87–108. - PubMed
    1. Jung KW, Won YJ, Kong HJ, et al. Cancer statistics in Korea: incidence, mortality, survival, and prevalence in 2011. Cancer Res Treat 2014; 46:109–123. - PMC - PubMed
    1. Janssen-Heijnen ML, Coebergh JW. The changing epidemiology of lung cancer in Europe. Lung Cancer 2003; 41:245–258. - PubMed
    1. Toh CK. The changing epidemiology of lung cancer. Methods Mol Biol 2009; 472:397–411. - PubMed

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