Classification of usual interstitial pneumonia in patients with interstitial lung disease: assessment of a machine learning approach using high-dimensional transcriptional data.

BACKGROUND: Idiopathic pulmonary fibrosis is a progressive fibrotic lung disease that distorts pulmonary architecture, leading to hypoxia, respiratory failure, and death. Diagnosis is difficult because other interstitial lung diseases have similar radiological and histopathological characteristics. A usual interstitial pneumonia pattern is a hallmark of idiopathic pulmonary fibrosis and is essential for its diagnosis. We aimed to develop a molecular test that distinguishes usual interstitial pneumonia from other interstitial lung diseases in surgical lung biopsy samples. The eventual goal of this research is to develop a method to diagnose idiopathic pulmonary fibrosis without the patient having to undergo surgery. METHODS: We collected surgical lung biopsy samples from patients with various interstitial lung diseases at 11 hospitals in North America. Pathology diagnoses were confirmed by an expert panel. We measured RNA expression levels for 33 297 transcripts on microarrays in all samples. A classifier algorithm was trained on one set of samples and tested in a second set. We subjected a subset of samples to next-generation RNA sequencing (RNAseq) generating expression levels on 55 097 transcripts, and assessed a classifier trained on RNAseq data by cross-validation. FINDINGS: We took 125 surgical lung biopsies from 86 patients. 58 samples were identified by the expert panel as usual interstitial pneumonia, 23 as non-specific interstitial pneumonia, 16 as hypersensitivity pneumonitis, four as sarcoidosis, four as respiratory bronchiolitis, two as organising pneumonia, and 18 as subtypes other than usual interstitial pneumonia. The microarray classifier was trained on 77 samples and was assessed in a test set of 48 samples, for which it had a specificity of 92% (95% CI 81-100) and a sensitivity of 82% (64-95). Based on a subset of 36 samples, the RNAseq classifier had a specificity of 95% (84-100) and a sensitivity of 59% (35-82). INTERPRETATION: Our results show that the development of a genomic signature that predicts usual interstitial pneumonia is feasible. These findings are an important first step towards the development of a molecular test that could be applied to bronchoscopy samples, thus avoiding surgery in the diagnosis of idiopathic pulmonary fibrosis. FUNDING: Veracyte.

Biopsy-site changes in lung adenocarcinoma with prior core needle biopsy: a potential pitfall in the assessment of stromal invasion.

Although biopsy-site changes are known to cause diagnostic difficulties in thyroid and breast specimens, especially when assessing invasion, such changes have not been described in the lung. Assessment of invasion is important in lung cancers to distinguish bronchioloalveolar carcinoma [adenocarcinoma in situ (AIS)] from invasive adenocarcinoma. The aim of this study was to determine whether biopsy-site changes occur in the lung and whether they may impact this differential diagnosis. Lobectomy specimens were examined from patients whose previous core needle biopsies showed well-differentiated adenocarcinoma with a lepidic pattern. There were 26 adenocarcinomas, including 14 minimally invasive adenocarcinomas, 2 invasive well-differentiated adenocarcinomas, and 10 AISs. Biopsy-site changes were identified in 9 of 26 (35%), including 4 minimally invasive adenocarcinomas, 3 AISs, and 2 well-differentiated adenocarcinomas. The interval between biopsy and resection ranged from 12 to 45 days (mean, 26.1 d). The biopsy sites consisted of a linear scar composed of collagen and plump fibroblasts, ranging from 2.0 to 13.1 mm in length and 0.5 to 1.6 mm in width. Scattered lymphocytes and plasma cells were present in 8 cases, pigment-laden macrophages in 4, and foreign body giant cells in 3. Benign entrapped lung epithelium was present within the scar in all 9 and entrapped malignant epithelium in 4. Biopsy-site changes can be identified in a significant proportion of lung tumors after core needle biopsy. They need to be distinguished from tumor-related stromal reactions that are considered an indication of invasion and are important in the differentiation of AIS and invasive adenocarcinoma.