Use of a Personalized Multimedia Education Platform Improves Preoperative Teaching for Lung Cancer Patients.

We sought to develop and evaluate a personalized multimedia education (ME) tool for preoperative patient education to improve patient health knowledge, quality of life and satisfaction with care in thoracic surgery. The ME tool was developed and deployed in outpatient clinic during preoperative teaching for patients undergoing surgical resection for lung cancer for quality improvement. Patients were given an electronic survey prior to preoperative teaching and at initial postoperative visit to assess teaching effectiveness and care satisfaction. Sequential patients received either standard preoperative teaching or teaching using the ME tool. Pre- and postoperative survey responses were compared using independent sample paired t test and multivariable linear regression modeling for adjustment. The final ME tool was an iPad application that incorporated real-time annotations of 3-dimensional, interactive anatomic diagrams. The tool featured video tours of operations, and radiology image import for annotation by the surgeon. Forty-eight patients were included in this pilot study (standard education n = 26; ME, n = 22). ME patients had significantly higher satisfaction scores compared to SE patients with respect to length of education materials, clarity of content, supportiveness of content and willingness to recommend materials to others. There was no difference in length of clinic visit between groups. Both patient and provider input can be used to create an innovative electronic preoperative educational tool that prepares and empowers patients in shared decision-making before surgery. Improvements in health literacy and self-efficacy may be more difficult to achieve but remain important as multimedia teaching tools are further developed.

Genomic Profiling of Bronchoalveolar Lavage Fluid in Lung Cancer.

Genomic profiling of bronchoalveolar lavage (BAL) samples may be useful for tumor profiling and diagnosis in the clinic. Here, we compared tumor-derived mutations detected in BAL samples from subjects with non-small cell lung cancer (NSCLC) to those detected in matched plasma samples. Cancer Personalized Profiling by Deep Sequencing (CAPP-Seq) was used to genotype DNA purified from BAL, plasma, and tumor samples from patients with NSCLC. The characteristics of cell-free DNA (cfDNA) isolated from BAL fluid were first characterized to optimize the technical approach. Somatic mutations identified in tumor were then compared with those identified in BAL and plasma, and the potential of BAL cfDNA analysis to distinguish lung cancer patients from risk-matched controls was explored. In total, 200 biofluid and tumor samples from 38 cases and 21 controls undergoing BAL for lung cancer evaluation were profiled. More tumor variants were identified in BAL cfDNA than plasma cfDNA in all stages (P < 0.001) and in stage I to II disease only. Four of 21 controls harbored low levels of cancer-associated driver mutations in BAL cfDNA [mean variant allele frequency (VAF) = 0.5%], suggesting the presence of somatic mutations in nonmalignant airway cells. Finally, using a Random Forest model with leave-one-out cross-validation, an exploratory BAL genomic classifier identified lung cancer with 69% sensitivity and 100% specificity in this cohort and detected more cancers than BAL cytology. Detecting tumor-derived mutations by targeted sequencing of BAL cfDNA is technically feasible and appears to be more sensitive than plasma profiling. Further studies are required to define optimal diagnostic applications and clinical utility. SIGNIFICANCE: Hybrid-capture, targeted deep sequencing of lung cancer mutational burden in cell-free BAL fluid identifies more tumor-derived mutations with increased allele frequencies compared with plasma cell-free DNA. See related commentary by Rolfo et al., p. 2826.

Intraoperative costs of video-assisted thoracoscopic lobectomy can be dramatically reduced without compromising outcomes.

OBJECTIVE: To determine whether surgeon selection of instrumentation and other supplies during video-assisted thoracoscopic lobectomy (VATSL) can safely reduce intraoperative costs. METHODS: In this retrospective, cost-focused review of all video-assisted thoracoscopic surgery anatomic lung resections performed by 2 surgeons at a single institution between 2010 and 2014, we compared VATSL hospital costs and perioperative outcomes between the surgeons, as well as costs of VATSL compared with thoracotomy lobectomy (THORL). RESULTS: A total of 100 VATSLs were performed by surgeon A, and 70 were performed by surgeon B. The preoperative risk factors did not differ significantly between the 2 groups of surgeries. Mean VATSL total hospital costs per case were 24% percent greater for surgeon A compared with surgeon B (P = .0026). Intraoperative supply costs accounted for most of this cost difference and were 85% greater for surgeon A compared with surgeon B (P < .0001). The use of nonstapler supplies, including energy devices, sealants, and disposables, drove intraoperative costs, accounting for 55% of the difference in intraoperative supply costs between the surgeons. Operative time was 25% longer for surgeon A compared with surgeon B (P < .0001), but this accounted for only 11% of the difference in total cost. Surgeon A's overall VATSL costs per case were similar to those of THORLs (n = 100) performed over the same time period, whereas surgeon B's VATSL costs per case were 24% less than those of THORLs. On adjusted analysis, there was no difference in VATSL perioperative outcomes between the 2 surgeons. CONCLUSIONS: The costs of VATSL differ substantially among surgeons and are heavily influenced by the use of disposable equipment/devices. Surgeons can substantially reduce the costs of VATSL to far lower than those of THORL without compromising surgical outcomes through prudent use of costly instruments and technologies.

GFPT2-Expressing Cancer-Associated Fibroblasts Mediate Metabolic Reprogramming in Human Lung Adenocarcinoma.

Metabolic reprogramming of the tumor microenvironment is recognized as a cancer hallmark. To identify new molecular processes associated with tumor metabolism, we analyzed the transcriptome of bulk and flow-sorted human primary non-small cell lung cancer (NSCLC) together with 18FDG-PET scans, which provide a clinical measure of glucose uptake. Tumors with higher glucose uptake were functionally enriched for molecular processes associated with invasion in adenocarcinoma and cell growth in squamous cell carcinoma (SCC). Next, we identified genes correlated to glucose uptake that were predominately overexpressed in a single cell-type comprising the tumor microenvironment. For SCC, most of these genes were expressed by malignant cells, whereas in adenocarcinoma, they were predominately expressed by stromal cells, particularly cancer-associated fibroblasts (CAF). Among these adenocarcinoma genes correlated to glucose uptake, we focused on glutamine-fructose-6-phosphate transaminase 2 (GFPT2), which codes for the glutamine-fructose-6-phosphate aminotransferase 2 (GFAT2), a rate-limiting enzyme of the hexosamine biosynthesis pathway (HBP), which is responsible for glycosylation. GFPT2 was predictive of glucose uptake independent of GLUT1, the primary glucose transporter, and was prognostically significant at both gene and protein level. We confirmed that normal fibroblasts transformed to CAF-like cells, following TGFß treatment, upregulated HBP genes, including GFPT2, with less change in genes driving glycolysis, pentose phosphate pathway, and TCA cycle. Our work provides new evidence of histology-specific tumor stromal properties associated with glucose uptake in NSCLC and identifies GFPT2 as a critical regulator of tumor metabolic reprogramming in adenocarcinoma.Significance: These findings implicate the hexosamine biosynthesis pathway as a potential new therapeutic target in lung adenocarcinoma. Cancer Res; 78(13); 3445-57. ©2018 AACR.

A radiogenomic dataset of non-small cell lung cancer.

Medical image biomarkers of cancer promise improvements in patient care through advances in precision medicine. Compared to genomic biomarkers, image biomarkers provide the advantages of being non-invasive, and characterizing a heterogeneous tumor in its entirety, as opposed to limited tissue available via biopsy. We developed a unique radiogenomic dataset from a Non-Small Cell Lung Cancer (NSCLC) cohort of 211 subjects. The dataset comprises Computed Tomography (CT), Positron Emission Tomography (PET)/CT images, semantic annotations of the tumors as observed on the medical images using a controlled vocabulary, and segmentation maps of tumors in the CT scans. Imaging data are also paired with results of gene mutation analyses, gene expression microarrays and RNA sequencing data from samples of surgically excised tumor tissue, and clinical data, including survival outcomes. This dataset was created to facilitate the discovery of the underlying relationship between tumor molecular and medical image features, as well as the development and evaluation of prognostic medical image biomarkers.

Smad3 initiates oxidative stress and proteolysis that underlies diaphragm dysfunction during mechanical ventilation.

Prolonged use of mechanical ventilation (MV) leads to atrophy and dysfunction of the major inspiratory muscle, the diaphragm, contributing to ventilator dependence. Numerous studies have shown that proteolysis and oxidative stress are among the major effectors of ventilator-induced diaphragm muscle dysfunction (VIDD), but the upstream initiator(s) of this process remain to be elucidated. We report here that periodic diaphragm contraction via phrenic nerve stimulation (PNS) substantially reduces MV-induced proteolytic activity and oxidative stress in the diaphragm. We show that MV rapidly induces phosphorylation of Smad3, and PNS nearly completely prevents this effect. In cultured cells, overexpressed Smad3 is sufficient to induce oxidative stress and protein degradation, whereas inhibition of Smad3 activity suppresses these events. In rats subjected to MV, inhibition of Smad3 activity by SIS3 suppresses oxidative stress and protein degradation in the diaphragm and prevents the reduction in contractility that is induced by MV. Smad3's effect appears to link to STAT3 activity, which we previously identified as a regulator of VIDD. Inhibition of Smad3 suppresses STAT3 signaling both in vitro and in vivo. Thus, MV-induced diaphragm inactivity initiates catabolic changes via rapid activation of Smad3 signaling. An early intervention with PNS and/or pharmaceutical inhibition of Smad3 may prevent clinical VIDD.