Affiliation:
1. Department of Thoracic Surgery, Shandong Provincial Hospital Shandong University Jinan China
2. Department of Thoracic Surgery Shandong Provincial Hospital Jinan China
3. Peking Union Medical College Beijing China
4. Department of Anesthesiology Shandong Provincial Hospital Jinan China
Abstract
AbstractBackgroundThe aim of this study was to investigate the imaging features, lymph node metastasis, and genetic mutations in micropapillary lung adenocarcinoma (imaging with mixed ground‐glass nodules) ≤2 cm, to provide a more precise and refined basis for the selection of lung segment resection.MethodsA retrospective analysis of 162 patients with surgically resected pathologically confirmed cancers ≤2.0 cm in diameter (50 cases of micropapillary mixed ground‐glass nodules [mGGNs], 50 cases of nonmicropapillary mGGNs, and 62 cases of micropapillary SNs [solid nodules]) was performed. mGGNs were classified into five categories according to imaging features. The distribution of these five morphologies in micropapillary with mGGN and nonmicropapillary with mGGN was analyzed. The postoperative pathology and prognosis of lymph node metastasis were also compared between micropapillary mGGNs and micropapillary with SNs. After searching the TCGA database, we demonstrated heterogeneity, high malignancy and high risk of microcapillary lung cancer cancers.ResultsDifferent pathological subtypes of mGGN differed in morphological features (p < 0.05). The rate of lymph node metastasis was significantly higher in micropapillary mGGNs than in nonmicropapillary mGGNs. In the TCGA database samples, lactate transmembrane protein activity, collagen transcription score, and fibroblast EMT score were remarkably higher in micropapillary adenocarcinoma. Other pathological subtypes had a better survival prognosis and longer disease‐free survival compared with micropapillary adenocarcinoma.ConclusionmGGNs ≤2 cm with a micropapillary pattern have a higher risk of lymph node metastasis compared with SNs, and computed tomography (CT) imaging features can assist in their diagnosis.
Funder
Natural Science Foundation of Shandong Province
Subject
Pulmonary and Respiratory Medicine,Oncology,General Medicine