Jett, James R.

Introduction. We investigated the expression of microRNAs and mRNAs in pleural tissues from patients with either malignant pleural mesothelioma or benign asbestos-related pleural effusion.Methods. Fresh frozen tissues from a total of 18 malignant pleural mesothelioma and 6 benign asbestos-related pleural effusion patients were studied. Expression profiling of mRNA and microRNA was performed using standard protocols.Results. We discovered significant upregulation of multiple microRNAs in malignant pleural mesothelioma compared to benign asbestos-related pleural effusion. Hsa-miR-484, hsa-miR-320, hsa-let-7a, and hsa-miR-125a-5p were able to discriminate malignant from benign disease. Dynamically regulated mRNAs were also identified. MET was the most highly overexpressed gene in malignant pleural mesothelioma compared to benign asbestos-related pleural effusion. Integrated analyses examining microRNA-mRNA interactions suggested multiple altered targets within the Notch signaling pathway.Conclusions. Specific microRNAs and mRNAs may have diagnostic utility in differentiating patients with malignant pleural mesothelioma from benign asbestos-related pleural effusion. These studies may be particularly helpful in patients who reside in a region with a high incidence of mesothelioma.

AbstractEfforts in lung cancer screening with chest X‐ray (CXR) and sputum cytology in the 1970s and 1980s were negative. In the ensuing decade, the early lung cancer action project (ELCAP), and the Mayo screening study showed the promise of low‐dose CT. These and other studies led to the National lung screening study (NLST), which showed definitively that low‐dose spiral computed tomography had a measurable impact on mortality and could be justified as a tool for lung cancer screening. This review examines the results of past and recent studies of lung cancer screening. J. Surg. Oncol. 2013 108:275–279. © 2013 Wiley Periodicals, Inc.

Abstract Studies suggest that screening with spiral computed tomography can detect lung cancers at a smaller size and earlier stage than chest radiography can. To evaluate low-radiation-dose spiral computed tomography and sputum cytology in screening for lung cancer, we enrolled 1,520 individuals aged 50 yr or older who had smoked 20 pack-years or more in a prospective cohort study. One year after baseline scanning, 2,244 uncalcified lung nodules were identified in 1,000 participants (66%). Twenty-five cases of lung cancer were diagnosed (22 prevalence, 3 incidence). Computed tomography alone detected 23 cases; sputum cytology alone detected 2 cases. Cell types were: squamous cell, 6; adenocarcinoma or bronchioalveolar, 15; large cell, 1; small cell, 3. Twenty-two patients underwent curative surgical resection. Seven benign nodules were resected. The mean size of the non-small cell cancers detected by computed tomography was 17 mm (median, 13 mm). The postsurgical stage was IA, 13; IB, 1; IIA, 5; IIB, 1; IIIA, 2; limited, 3. Twelve (57%) of the 21 non-small cell cancers detected by computed tomography were stage IA at diagnosis. Computed tomography can detect early-stage lung cancers. The rate of benign nodule detection is high.

Abstract Background: Current management of lung nodules is complicated by nontherapeutic resections and missed chances for cure. We hypothesized that a serum proteomic signature may add diagnostic information beyond that provided by combined clinical and radiographic data. Methods: Cohort A included 265 and cohort B 114 patients. Using multivariable logistic regression analysis we calculated the area under the receiver operating characteristic curve (AUC) and quantified the added value of a previously described serum proteomic signature beyond clinical and radiographic risk factors for predicting lung cancer using the integration discrimination improvement (IDI) index. Results: The average computed tomography (CT) measured nodule size in cohorts A and B was 37.83 versus 23.15 mm among patients with lung cancer and 15.82 versus 17.18 mm among those without, respectively. In cohort A, the AUC increased from 0.68 to 0.86 after adding chest CT imaging variables to the clinical results, but the proteomic signature did not provide meaningful added value. In contrast, in cohort B, the AUC improved from 0.46 with clinical data alone to 0.61 when combined with chest CT imaging data and to 0.69 after adding the proteomic signature (IDI of 20% P = 0.0003). In addition, in a subgroup of 100 nodules between 5 and 20 mm in diameter, the proteomic signature added value with an IDI of 15% (P ≤ 0.0001). Conclusions: The results show that this serum proteomic biomarker signature may add value to the clinical and chest CT evaluation of indeterminate lung nodules. Impact: This study suggests a possible role of a blood biomarker in the evaluation of indeterminate lung nodules. Cancer Epidemiol Biomarkers Prev; 21(5); 786–92. ©2012 AACR.

Abstract Rationale Bronchoscopically collected cytology specimens are commonly used to obtain a diagnosis of cancer in patients with pulmonary lesions. However, the sensitivity of cytology is suboptimal, especially for peripheral lesions less than 2 cm in diameter. Objectives We assessed the performance of a testing algorithm using cytology and fluorescence in situ hybridization (FISH) as part of clinical practice. Methods Bronchial brushing specimens (n = 343) were obtained from patients undergoing bronchoscopy for indeterminate pulmonary lesions. Routine cytology was performed and specimens without a positive diagnosis (n = 294) were analyzed by FISH, using residual brushing material. Pathology-confirmed lung cancer or clinical/radiographic evidence of disease was considered diagnostic of malignancy. Measurements and Main Results Routine cytology had a sensitivity and specificity of 41% (23 of 56) and 100% (45 of 45) for central lesions and 20% (26 of 133) and 100% (109 of 109) for peripheral nodules, respectively. FISH detected an additional 32% of lung cancers (18 central and 43 peripheral) not detectable by cytology alone, while producing false positive diagnoses in 22% (10 of 45) and 6% (6 of 109) benign central and peripheral lesions, respectively. In peripheral nodules, FISH detected (relative to routine cytology) an additional 44% (15 of 34) and 28% (25 of 91) of lung cancers less than 2 cm and 2 cm or more in size, respectively. A positive FISH result had a likelihood ratio of 1.45 and 5.87 for central and peripheral lesions and 3.44 and 15.38 for peripheral nodules less than 2 cm and 2 cm or more in size, respectively. Conclusions FISH testing significantly increases the detection of lung cancer over routine cytology alone. It is especially useful for peripheral nodules.