B cell-dependent subtypes and treatment-based immune correlates to survival in stage 3 and 4 lung adenocarcinomas.

Lung cancer is the leading cause of cancer-related deaths worldwide. Surgery and chemoradiation are the standard of care in early stages of non-small cell lung cancer (NSCLC), while immunotherapy is the standard of care in late-stage NSCLC. The immune composition of the tumor microenvironment (TME) is recognized as an indicator for responsiveness to immunotherapy, although much remains unknown about its role in responsiveness to surgery or chemoradiation. In this pilot study, we characterized the NSCLC TME using mass cytometry (CyTOF) and bulk RNA sequencing (RNA-Seq) with deconvolution of RNA-Seq being performed by Kassandra, a recently published deconvolution tool. Stratification of patients based on the intratumoral abundance of B cells identified that the B-cell rich patient group had increased expression of CXCL13 and greater abundance of PD1+ CD8 T cells. The presence of B cells and PD1+ CD8 T cells correlated positively with the presence of intratumoral tertiary lymphoid structures (TLS). We then assessed the predictive and prognostic utility of these cell types and TLS within publicly available stage 3 and 4 lung adenocarcinoma (LUAD) RNA-Seq datasets. As previously described by others, pre-treatment expression of intratumoral 12-chemokine TLS gene signature is associated with progression free survival (PFS) in patients who receive treatment with immune checkpoint inhibitors (ICI). Notably and unexpectedly pre-treatment percentages of intratumoral B cells are associated with PFS in patients who receive surgery, chemotherapy, or radiation. Further studies to confirm these findings would allow for more effective patient selection for both ICI and non-ICI treatments.

Precise reconstruction of the TME using bulk RNA-seq and a machine learning algorithm trained on artificial transcriptomes.

Cellular deconvolution algorithms virtually reconstruct tissue composition by analyzing the gene expression of complex tissues. We present the decision tree machine learning algorithm, Kassandra, trained on a broad collection of >9,400 tissue and blood sorted cell RNA profiles incorporated into millions of artificial transcriptomes to accurately reconstruct the tumor microenvironment (TME). Bioinformatics correction for technical and biological variability, aberrant cancer cell expression inclusion, and accurate quantification and normalization of transcript expression increased Kassandra stability and robustness. Performance was validated on 4,000 H&E slides and 1,000 tissues by comparison with cytometric, immunohistochemical, or single-cell RNA-seq measurements. Kassandra accurately deconvolved TME elements, showing the role of these populations in tumor pathogenesis and other biological processes. Digital TME reconstruction revealed that the presence of PD-1-positive CD8+ T cells strongly correlated with immunotherapy response and increased the predictive potential of established biomarkers, indicating that Kassandra could potentially be utilized in future clinical applications.

Evaluation of Release Maneuvers After Airway Reconstruction.

BACKGROUND: Airway release (AR) maneuvers performed during airway resection to reduce anastomotic tension have not been thoroughly studied. METHODS: This study retrospectively analyzed consecutive resections for postintubation stenosis (PITS) and primary tracheal neoplasms (PTNs) at Massachusetts General Hospital (Boston, MA). Anastomotic complications were defined as stenosis, separation, necrosis, granulation tissue, and air leak. Logistic regression modeling was used to identify factors associated with AR and adverse outcome. RESULTS: From 1993 to 2019, 545 patients with PITS (375; 68.8%) and PTNs (170; 31.2%) underwent laryngotracheal, tracheal, or carinal (resections and reconstructions; 5.7% (31 of 545) were reoperations. AR was performed in 11% (60 of 545): in 3.8% of laryngotracheal resections (6 of 157; all laryngeal), in 9.8% of tracheal resections (34 of 347; laryngeal, 12, and hilar, 22), and in 49% of carinal resections (20 of 41; laryngeal, 1, and hilar, 19). Mean resected length was 3.5 cm (range, 1to- 6.3 cm) with AR and 3.0 cm (range, 0.8 to 6.5 cm) without AR (P < .01). Operative mortality was 0.7% (4 of 545); all 4 anastomoses were intact until death. Anastomotic complications were present in 5% of patients who underwent AR (3 of 60) and in 9.3% (45 of 485) of patients who did not. AR was associated with resection length of 4 cm or longer (odds ratio [OR], 6.15; 95% confidence interval [CI], 1.37 to 27.65), PTNs (OR, 7.81; 95% CI, 3.31 to 18.40), younger age (OR, 0.96; 95% CI, 0.94 to 0.98), and lung resection (OR, 6.09; 95% CI, 1.33 to 27.90). Anastomotic complications in patients with tracheal anastomoses were associated with preexisting tracheostomy (OR, 2.68; 95% CI, 1.50 to 4.80), but not release. CONCLUSIONS: Tracheal reconstruction succeeds, even when anastomotic tension requires AR. Because intraoperative assessment may underestimate tension, lowering the threshold for AR seems prudent, particularly in patients with diabetes.

Diagnostic Accuracy of Endobronchial Optical Coherence Tomography for the Microscopic Diagnosis of Usual Interstitial Pneumonia.

Rationale: Early, accurate diagnosis of interstitial lung disease (ILD) informs prognosis and therapy, especially in idiopathic pulmonary fibrosis (IPF). Current diagnostic methods are imperfect. High-resolution computed tomography has limited resolution, and surgical lung biopsy (SLB) carries risks of morbidity and mortality. Endobronchial optical coherence tomography (EB-OCT) is a low-risk, bronchoscope-compatible modality that images large lung volumes in vivo with microscopic resolution, including subpleural lung, and has the potential to improve the diagnostic accuracy of bronchoscopy for ILD diagnosis. Objectives: We performed a prospective diagnostic accuracy study of EB-OCT in patients with ILD with a low-confidence diagnosis undergoing SLB. The primary endpoints were EB-OCT sensitivity/specificity for diagnosis of the histopathologic pattern of usual interstitial pneumonia (UIP) and clinical IPF. The secondary endpoint was agreement between EB-OCT and SLB for diagnosis of the ILD fibrosis pattern. Methods: EB-OCT was performed immediately before SLB. The resulting EB-OCT images and histopathology were interpreted by blinded, independent pathologists. Clinical diagnosis was obtained from the treating pulmonologists after SLB, blinded to EB-OCT. Measurements and Main Results: We enrolled 31 patients, and 4 were excluded because of inconclusive histopathology or lack of EB-OCT data. Twenty-seven patients were included in the analysis (16 men, average age: 65.0 yr): 12 were diagnosed with UIP and 15 with non-UIP ILD. Average FVC and DlCO were 75.3% (SD, 18.5) and 53.5% (SD, 16.4), respectively. Sensitivity and specificity of EB-OCT was 100% (95% confidence interval, 75.8-100.0%) and 100% (79.6-100%), respectively, for both histopathologic UIP and clinical diagnosis of IPF. There was high agreement between EB-OCT and histopathology for diagnosis of ILD fibrosis pattern (weighted κ: 0.87 [0.72-1.0]). Conclusions: EB-OCT is a safe, accurate method for microscopic ILD diagnosis, as a complement to high-resolution computed tomography and an alternative to SLB.

Integrating tobacco treatment into thoracic oncology settings: Lessons learned.

Clinical practice guidelines recommend tobacco treatment for all cancer patients. However, little is known about how to integrate tobacco treatment into cancer care. The results of our pilot study of an evidence-based tobacco treatment integrated into a thoracic oncology clinic demonstrated good feasibility and efficacy, providing an opportunity to inform future tobacco treatment integration efforts. Here, we describe the process of intervention development, clinic integration, patient identification, and patient enrollment. We report on the intervention content and delivery, patterns of quitting for participants in the tobacco treatment group, and changes in smoking-related psychosocial variables. Clinical implications and suggestions for future research are discussed.

Comparative cost-effectiveness of stereotactic body radiation therapy versus intensity-modulated and proton radiation therapy for localized prostate cancer.

OBJECTIVE: To determine the cost-effectiveness of several external beam radiation treatment modalities for the treatment of patients with localized prostate cancer. METHODS: A lifetime Markov model incorporated the probabilities of experiencing treatment-related long-term toxicity or death. Toxicity probabilities were derived from published sources using meta-analytical techniques. Utilities and costs in the model were obtained from publicly available secondary sources. The model calculated quality-adjusted life expectancy and expected lifetime cost per patient, and derived ratios of incremental cost per quality-adjusted life year (QALY) gained between treatments. Analyses were conducted from both payer and societal perspectives. One-way and probabilistic sensitivity analyses were performed. RESULTS: Compared to intensity-modulated radiation therapy (IMRT) and proton beam therapy (PT), stereotactic body radiation therapy (SBRT) was less costly and resulted in more QALYs. Sensitivity analyses showed that the conclusions in the base-case scenario were robust with respect to variations in toxicity and cost parameters consistent with available evidence. At a threshold of $50,000/QALY, SBRT was cost-effective in 75% and 94% of probabilistic simulations compared to IMRT and PT, respectively, from a payer perspective. From a societal perspective, SBRT was cost-effective in 75% and 96% of simulations compared to IMRT and PT, respectively, at a threshold of $50,000/QALY. In threshold analyses, SBRT was less expensive with better outcomes compared to IMRT at toxicity rates 23% greater than the SBRT base-case rates. CONCLUSION: Based on the assumption that each treatment modality results in equivalent long-term efficacy, SBRT is a cost-effective strategy resulting in improved quality-adjusted survival compared to IMRT and PT for the treatment of localized prostate cancer.

A smoking cessation intervention for thoracic surgery and oncology clinics: a pilot trial.

INTRODUCTION: Although most smokers diagnosed with lung cancer report that they want to quit smoking, many do not succeed. Smokers who quit when lung cancer is diagnosed have improved treatment efficacy, quality of life, and survival. Effective smoking cessation interventions targeted to thoracic oncology patients are needed. METHODS: This pilot study examined the feasibility and potential efficacy of a 12-week program that combined smoking cessation counseling with varenicline. Seven-day point prevalence tobacco abstinence rates at the end of treatment were compared with a usual care control group. From January 2008 to August 2009, patients with a diagnosed or suspected thoracic malignancy were recruited at their initial visit to a thoracic surgeon or thoracic oncologist at Massachusetts General Hospital. RESULTS: Of 1130 patients screened, 187 (17%) were current smokers, and an additional 66 (6%) reported quitting within the past 6 months. One hundred sixteen (67%) of smokers were eligible, and 49 (42%) of eligible smokers enrolled (control group n = 17, intervention group n = 32). Intervention participants completed a median of nine counseling sessions; 50% of intervention participants completed the full varenicline course. At 12-week follow-up, biochemically validated 7-day point prevalence tobacco abstinence rates were 34.4% in the intervention group versus 14.3% in the control group (odds ratio = 3.14, 95% confidence interval = 0.59-16.62, p = 0.18). CONCLUSION: Our findings support the feasibility and acceptability of this program. At the end of treatment, quit rates were higher in the intervention [corrected] group. Further testing is indicated to establish the efficacy of this treatment package in a randomized clinical trial.

Prognostic factors in non-small cell lung cancer: a decade of progress.

STUDY OBJECTIVES: To provide a systematic overview of the literature investigating patient and tumor factors that are predictive of survival for patients with non-small cell lung cancer (NSCLC), and to analyze patterns in the design of these studies in order to highlight problematic aspects of their design and to advocate for appropriate directions of future studies. DESIGN: A systematic search of the MEDLINE database and a synthesis of the identified literature. MEASUREMENTS AND RESULTS: The database search (January 1990 to July 2001) was carried out combining the MeSH terms prognosis and carcinoma, nonsmall cell lung. Eight hundred eighty-seven articles met the search criteria. These studies identified 169 prognostic factors relating either to the tumor or the host. One hundred seventy-six studies reported multivariate analyses. Concerning 153 studies reporting a multivariate analysis of prognostic factors in patients with early-stage NSCLC, the median number of patients enrolled per study was 120 (range, 31 to 1,281 patients). The median number of factors reported to be significant in univariate analyses was 4 (range, 2 to 14 factors). The median number of factors reported to be significant in multivariate analyses per study was 2 (range, 0 to 6 factors). The median number of studies examining each prognostic factor was 1 (range, 1 to 105 studies). Only 6% of studies addressed clinical outcomes other than patient survival. CONCLUSIONS: While the breadth of prognostic factors studied in the literature is extensive, the scope of factors evaluated in individual studies is inappropriately narrow. Individual studies are typically statistically underpowered and are remarkably heterogeneous with regard to their conclusions. Larger studies with clinically relevant modeling are required to address the usefulness of newly available prognostic factors in defining the management of patients with NSCLC.

Lifestyle risks for three disease outcomes in spinal cord injury.

OBJECT: The majority of research focusing on lifestyle risks in the spinal cord-injured population to date has mainly been descriptive in nature. Limited research has examined the relationships between lifestyle risks and morbidity. This study was undertaken to quantify the associations between selected lifestyle risks and morbidity associated with three top causes of mortality in adults with spinal cord injury (SCI). METHOD: Ninety-seven adults who had incurred a spinal cord injury between 1972 and 1992 were interviewed over the telephone to assess morbidity and lifestyle exposure history. Logistic regression modelling was used to assess the association between lifestyle risks and cardiovascular, respiratory and urinary tract disorders. RESULTS: Risk of cardiovascular morbidity was found to be positively associated with age and duration of cigarette use. Risk of respiratory morbidity was found to be positively associated with quadriplegia, number of cigarettes smoked per day, and the interaction between cigarettes smoked per day and excessive alcohol consumption. Risk of urinary tract morbidity was found to be positively associated with a complete lesion, number of cigarettes smoked per day and, surprisingly, physical activity. Risk of urinary tract morbidity was negatively associated with monthly alcohol consumption, a traumatic injury and the interaction between monthly alcohol consumption and a complete lesion. CONCLUSION: With respect to the three morbidity outcomes in this study, cigarette smoking is the most damaging lifestyle behaviour in the spinal cord-injured population. Attention and resources should be directed towards SCI-specific smoking prevention and cessation programmes to prevent the development and exacerbation of chronic diseases in this unique population. Further research is needed to fully understand the associations between lifestyle and chronic diseases in the SCI population.

A treatment trade-off based decision aid for patients with locally advanced non-small cell lung cancer.

Purpose To describe the structure and use of a decision aid for patients with locally advanced non-small cell lung cancer (LA-NSCLC) who are eligible for combined-modality treatment (CMT) or for radiotherapy alone (RT). METHODS: The aid included a structured description of the treatment options and trade-off exercises designed to help clarify the patient's values for the relevant outcomes by determining the patient's survival advantage threshold (the increase in survival conferred by CMT over RT that the patient deemed necessary for choosing CMT). Additional outcome measures included each patient's strength of treatment preference, decisional conflict, objective understanding of survival information, decisional role preference, and evaluation of the aid itself. RESULTS: Twenty-five patients met the eligibility criteria for study. Of these, seven declined the decision aid because they had a clear treatment preference (four chose CMT and three chose RT). The remaining 18 participants completed the decision aid; 16 chose CMT and two chose RT. All 18 patients wished to participate in the decision to some extent. All patients reported that using the decision support was useful to them and recommended its use for others. No patient or physician reported that the aid interfered with the physician-patient relationship. Patients' 3-year survival advantage thresholds, and their median survival advantage thresholds, were each strongly correlated with their strengths of treatment preference (rho=0.80, P < 0.001 and rho=0.77, P < 0.001, respectively). For all but one patient, either their 3-year or median survival threshold was consistent with their final treatment choice. Eight patients reported a stronger treatment preference after using the decision aid. CONCLUSIONS: We conclude that a treatment trade-off based decision aid for patients with locally advanced non-small cell lung cancer is feasible, that it demonstrates internal consistency and convergent validity, and that it is favourably evaluated by patients and their physicians. The aid seems to help patients understand the benefits and risks of treatment and to choose the treatment that is most consistent with their values.