Challenges Addressing Lung Cancer Screening for Patients With Multimorbidity in Primary Care: A Qualitative Study.

PURPOSE: Many individuals who are eligible for lung cancer screening have comorbid conditions complicating their shared decision-making conversations with physicians. The goal of our study was to better understand how primary care physicians (PCPs) factor comorbidities into their evaluation of the risks and benefits of lung cancer screening and into their shared decision-making conversations with patients. METHODS: We conducted semistructured interviews by videoconference with 15 PCPs to assess the extent of shared decision-making practices and explore their understanding of the intersection of comorbidities and lung cancer screening, and how that understanding informed their clinical approach to this population. RESULTS: We identified 3 themes. The first theme was whether to discuss or not to discuss lung cancer screening. PCPs described taking additional steps for individuals with complex comorbidities to decide whether to initiate this discussion and used subjective clinical judgment to decide whether the conversation would be productive and beneficial. PCPs made mental assessments that factored in the patient's health, life expectancy, quality of life, and access to support systems. The second theme was that shared decision making is not a simple discussion. When PCPs did initiate discussions about lung cancer screening, although some believed they could provide objective information, others struggled with personal biases. The third theme was that ultimately, the decision to be screened was up to the patient. Patients had the final say, even if their decision was discordant with the PCP's advice. CONCLUSIONS: Shared decision-making conversations about lung cancer screening differed substantially from the standard for patients with complex comorbidities. Future research should include efforts to characterize the risks and benefits of LCS in patients with comorbidities to inform guidelines and clinical application.

[Clinical pathway in Chinese county for lung cancer diagnosis and treatment (2023 edition)].

Lung cancer (LC) is the leading cause of death among patients with cancer both in worldwide and China. China accounts for 11.4% of the total number of cancer cases and 18.0% of the total number of cancer deaths in the world. Standardizing the diagnosis and treatment of LC is a key measure to improve the survival rate of LC patients and reduce the mortality rate. However, county hospitals generally face the problem of inaccessibility to advanced diagnostic and treatment technologies. Therefore, when developing quality control standards and clinical diagnosis and treatment specifications, it is necessary to combine the actual situation of county hospitals and formulate specific recommendations. The recommendations of treatment measures also need to consider the approval status of indications and whether it is included in the National Reimbursement Drug List (NRDL), to ensure the access to medicines. In order to solve the above problems, based on existing guidelines at home and abroad and the clinical work characteristics of county hospitals, the first clinical pathway in Chinese county for LC diagnosis and treatment (2023 edition) was compiled. This pathway elaborated on the imaging diagnosis, pathological diagnosis, molecular testing, and precision medicine based on histological-pathological types, tumor-node-metastasis (TNM) classification, and molecular classification, developed different diagnosis and treatment processes for different types of LC patients. Simultaneously, according to the actual work situation of county hospitals, the diagnosis and treatment recommendations in clinical scenarios are divided into basic strategies and optional strategies for elaboration. The basic strategies are the standards that county hospitals must meet, while the optional strategies provide more choices for hospitals, which are convenient for county doctors to put into clinical practice. All the recommended diagnostic and treatment plans strictly refer to existing guidelines and consensus, ensuring the scientificity.

Liquid Biopsy of Lung Cancer Before Pathological Diagnosis Is Associated With Shorter Time to Treatment.

PURPOSE: Studies have investigated the early use of liquid biopsy (LBx) during the diagnostic workup of patients presenting with clinical evidence of advanced lung cancer, but real-world adoption and impact has not been characterized. The aim of this study was to determine whether the use of LBx before diagnosis (Dx; LBx-Dx) enables timely comprehensive genomic profiling (CGP) and shortens time until treatment initiation for advanced non-small-cell lung cancer (aNSCLC). MATERIALS AND METHODS: This study used the Flatiron Health-Foundation Medicine electronic health record-derived deidentified clinicogenomic database of patients with aNSCLC from approximately 280 US cancer clinics. RESULTS: Of 1,076 patients with LBx CGP ordered within 30 days prediagnosis/postdiagnosis, we focused on 56 (5.2%) patients who ordered LBx before diagnosis date (median 8 days between order and diagnosis, range, 1-28). Compared with 1,020 patients who ordered LBx after diagnosis (Dx-LBx), LBx-Dx patients had similar stage and ctDNA tumor fraction (TF). LBx-Dx patients received CGP results a median of 1 day after Dx versus 25 days for Dx-LBx patients. Forty-three percent of LBx-Dx were positive for an National Comprehensive Cancer Network driver, and 32% had ctDNA TF >1% but were driver negative (presumed true negatives). In 748 patients with previously untreated aNSCLC, median time from Dx to therapy was shorter in the LBx-Dx versus Dx-LBx group (21 v 35 days; P < .001). CONCLUSION: Early LBx in anticipation of pathologic diagnosis of aNSCLC was uncommon in this real-world cohort, yet this emerging paradigm was associated with an abbreviated time to CGP results and faster therapy initiation. Forthcoming prospective studies will clarify the utility of LBx in parallel with biopsy for diagnostic confirmation for patients presenting with suspected advanced lung cancer.

Construction of Prognostic Model and miRNA-mRNA Regulatory Network for Lung Squamous Cell Carcinoma.

The purpose of this paper was to construct a prognostic model, miRNA-mRNA regulatory network and protein-protein interaction (PPI) network for lung squamous cell carcinoma (LUSC) used data from the cancer genome atlas (TCGA) database. In this study, we first downloaded and sorted out the expression matrix containing 19962 mRNA transcripts (including 502 LUSC and 51 normal control (NC) samples) and the expression matrix containing 2205 miRNA transcripts (including 478 LUSC and 45 NC samples) from the TCGA database. We obtained 389 differentially expressed miRNAs (DE-miRNAs), of which 305 were upregulated and 84 down-regulated DE-miRNAs. Next, a total of 7 prognosis-related DE-miRNAs (PDE-miRNAs) were identified by Cox regression analysis, and the prognosis model consisting of three PDE-miRNAs (hsa-miR-4746-5p, hsa-miR-556-3p and hsa-miR-489-3p) was optimized. Then, we drew the survival curves and found that the survival rates of the three PDE-miRNA high and low expression groups and the survival rates of the high-risk and low-risk patients in the prognosis model had significant statistical differences. In addition, the receiver operating characteristics (ROC) curve analysis and independent prognostic analysis confirmed that the prognostic model we built has a relatively accurate ability to predict the grouping and prognosis of LUSC patients. Finally, Cox regression analysis were used to construct the miRNA-mRNA regulatory network, which showed the regulatory relationship between PDE-miRNAs and targeted mRNAs. Moreover, we constructed the PPI network composed of 145 targeted mRNAs and the subnetwork composed of 10 hub-targeted mRNAs (FCGR3A, IL13, CCR2, PPARGC1A, FCGR3B, ACSL1, PLXNA4, LPL, KAT2B and AOC3), which showed the interaction between targeted mRNAs. The above results indicated that the prognosis model we built can predict LUSC patients relatively accurately. The miRNA-mRNA regulatory network and the PPI network of targeted mRNAs illustrated the regulatory mechanisms and interactions between RNAs, which were of certain reference significance for us to further understand the molecular pathogenesis of LUSC and for clinical early diagnosis and treatment.

Risk model-based management for second primary lung cancer among lung cancer survivors through a validated risk prediction model.

BACKGROUND: Recent therapeutic advances and screening technologies have improved survival among patients with lung cancer, who are now at high risk of developing second primary lung cancer (SPLC). Recently, an SPLC risk-prediction model (called SPLC-RAT) was developed and validated using data from population-based epidemiological cohorts and clinical trials, but real-world validation has been lacking. The predictive performance of SPLC-RAT was evaluated in a hospital-based cohort of lung cancer survivors. METHODS: The authors analyzed data from 8448 ever-smoking patients diagnosed with initial primary lung cancer (IPLC) in 1997-2006 at Mayo Clinic, with each patient followed for SPLC through 2018. The predictive performance of SPLC-RAT and further explored the potential of improving SPLC detection through risk model-based surveillance using SPLC-RAT versus existing clinical surveillance guidelines. RESULTS: Of 8448 IPLC patients, 483 (5.7%) developed SPLC over 26,470 person-years. The application of SPLC-RAT showed high discrimination area under the receiver operating characteristics curve: 0.81). When the cohort was stratified by a 10-year risk threshold of ≥5.6% (i.e., 80th percentile from the SPLC-RAT development cohort), the observed SPLC incidence was significantly elevated in the high-risk versus low-risk subgroup (13.1% vs. 1.1%, p < 1 × 10-6 ). The risk-based surveillance through SPLC-RAT (≥5.6% threshold) outperformed the National Comprehensive Cancer Network guidelines with higher sensitivity (86.4% vs. 79.4%) and specificity (38.9% vs. 30.4%) and required 20% fewer computed tomography follow-ups needed to detect one SPLC (162 vs. 202). CONCLUSION: In a large, hospital-based cohort, the authors validated the predictive performance of SPLC-RAT in identifying high-risk survivors of SPLC and showed its potential to improve SPLC detection through risk-based surveillance. PLAIN LANGUAGE SUMMARY: Lung cancer survivors have a high risk of developing second primary lung cancer (SPLC). However, no evidence-based guidelines for SPLC surveillance are available for lung cancer survivors. Recently, an SPLC risk-prediction model was developed and validated using data from population-based epidemiological cohorts and clinical trials, but real-world validation has been lacking. Using a large, real-world cohort of lung cancer survivors, we showed the high predictive accuracy and risk-stratification ability of the SPLC risk-prediction model. Furthermore, we demonstrated the potential to enhance efficiency in detecting SPLC using risk model-based surveillance strategies compared to the existing consensus-based clinical guidelines, including the National Comprehensive Cancer Network.

Biomarker Testing for Actionable Alterations in NSCLC-Perspectives from US-Based Academic and Community Oncologists: A Podcast.

The identification of actionable oncogenic driver mutations in patients with non-small cell lung cancer impacts therapy selection, and appropriate therapy administration results in improvements in clinical outcomes. Although biomarker testing for actionable oncogenic driver mutations is recommended in national and international guidelines, there are still unmet needs in the real world. Through this podcast we provide, from a US perspective, an overview and discuss challenges in biomarker testing from both an academic and a community oncologist viewpoint. We describe the importance of comprehensive testing, actionable biomarkers as recommended by guidelines such as National Comprehensive Cancer Network® (NCCN®) and European Society for Medical Oncology, types of tests and assessment techniques for detection of actionable biomarkers, and challenges in testing. These challenges include the lack of awareness of the biomarker testing guidelines among physicians, inconsistent reimbursement, longer turnaround time resulting in delays in therapy initiation, and nihilism associated with particular patient characteristics. To tackle these challenges, we offer recommendations from the perspective of our own clinical settings.

Untargeted Metabolomic Study of Lung Cancer Patients after Surgery with Curative Intent.

Lung cancer (LC) is a leading cause of mortality, claiming more than 1.8 million deaths per year worldwide. Surgery is one of the most effective treatments when the disease is in its early stages. The study of metabolic alterations after surgical intervention with curative intent could be used to assess the response to treatment or the detection of cancer recurrence. In this study, we have evaluated the metabolomic profile of serum samples (n = 110) from preoperative (PRE) and postoperative (POST) LC patients collected at two different time points (1 month, A; 3-6 months, B) with respect to healthy people. An untargeted metabolomic platform based on reversed phase (RP) and hydrophilic interaction chromatography (HILIC), using ultra-high performance liquid chromatography (UHPLC) and mass spectrometry (MS), was applied (MassIVE ID MSV000092213). Twenty-two altered metabolites were annotated by comparing all the different studied groups. DG(14,0/22:1), stearamide, proline, and E,e-carotene-3,3'-dione were found altered in PRE, and their levels returned to those of a baseline control group 3-6 months after surgery. Furthermore, 3-galactosyllactose levels remained altered after intervention in some patients. This study provides unique insights into the metabolic profiles of LC patients after surgery at two different time points by combining complementary analytical methods.

Optimizing Lung Cancer Screening With Risk Prediction: Current Challenges and the Emerging Role of Biomarkers.

The Oncology Grand Rounds series is designed to place original reports published in the Journal into clinical context. A case presentation is followed by a description of diagnostic and management challenges, a review of the relevant literature, and a summary of the authors' suggested management approaches. The goal of this series is to help readers better understand how to apply the results of key studies, including those published in Journal of Clinical Oncology, to patients seen in their own clinical practice.Lung cancer screening has been demonstrated to reduce lung cancer mortality, but its benefits must be weighed against the potential harms of unnecessary procedures, false-positive radiological findings, and overdiagnosis. Individuals at highest risk of lung cancer are more likely to maximize benefits while minimizing harm from screening. Although current lung cancer screening guidelines recommended by the US Preventive Services Task Force (USPSTF) only consider age and smoking history for screening eligibility, National Comprehensive Cancer Network and other society guidelines recommend screening on the basis of individualized risk assessment including family history, environmental exposures, and presence of chronic lung disease. Risk prediction models have been developed to integrate various risk factors into an individualized risk prediction score. Previous evidence showed that risk prediction model-based screening eligibility could improve sensitivity for detecting lung cancer cases without reducing specificity. Furthermore, recent advances in lung cancer biomarkers have enhanced the performance of risk prediction in identifying lung cancer cases relative to the USPSTF criteria. These risk prediction models can be used to guide shared decision-making discussions before proceeding with lung cancer screening. This study aims to provide a concise overview of these prediction models and the emerging role of biomarker testing in risk prediction to facilitate conversations with patients. The goal was to assist clinicians in assessing individual patient risk, leading to more informed decision making.

Enhancing Diagnostic Accuracy for Lung Cancer through Combined Detection of Multiple Tumor Markers.

Objective: To explore the application value of combined detection of multiple tumor markers in diagnosing lung cancer (LC). Methods: A total of 32 small cell lung cancer (SCLC) patients and 107 non-small cell lung cancer (NSCLC) patients, including 68 lung adenocarcinoma (LADC) patients and 39 lung squamous cell carcinoma (LSCC) patients diagnosed in our hospital from January 2019 to December 2021, were enrolled. 102 benign lung disease (BCD) patients (including pneumonia, pulmonary tuberculosis, and chronic obstructive pulmonary disease) were chosen as the control group. Serum tumor markers were detected in all patients, and their positive rates and concentrations were compared. Receiver operating characteristic (ROC) curve analysis was used to calculate the diagnostic performance of individual and combined tests. Results: The positive rate and concentration of carcinoembryonic antigen (CEA) were upregulated in the LADC group (P < .05). The positive rate and concentration of squamous cell carcinoma antigen (SCCAg) were upregulated in the LSCC group (P < .05). The positive rate and concentration of carbohydrate antigen 153 (CA153) were upregulated in the SCLC group (P < .05). The positive rate and concentration of cytokeratin fragment antigen 21-1 (CYFRA21-1) were the highest in the LADC and LSCC groups. The ROC curve demonstrated that CEA exhibited higher diagnostic sensitivity and specificity in LADC patients, SCCAg exhibited higher diagnostic sensitivity and specificity in LSCC patients, and CYFRA21-1 exhibited the highest diagnostic sensitivity in LADC and LSCC patients. In combined detection, the 4-marker combined detection and single-marker combined detection showed statistical significance in patients with different pathological types of LC (P < 0.05). Conclusions: CYFRA21-1 combined with CEA assists in diagnosing LADC, CYFRA21-1 combined with SCCAg assists in diagnosing LSCC, and CA153 assists in diagnosing SCLC. These four serum tumor markers can be used to aid in diagnosing LC and differentiating its pathological types.

Efficacy of hyperthermic intrathoracic chemotherapy for initially diagnosed lung cancer with symptomatic malignant pleural effusion.

Initially diagnosed malignant pleural effusion (MPE) has different systematic treatments, and defining the best drainage regimen according to the responsiveness of MPE to different systematic treatments is important. This study compared the efficacy of hyperthermic intrathoracic chemotherapy (HITHOC) and pleural catheter drainage (IPCD) for initially diagnosed lung cancer with symptomatic MPE. We retrospectively reviewed the medical records of initially diagnosed lung cancer patients with symptomatic MPE between January 2018 and May 2022. The patients were treated with IPCD or HITHOC for local control of MPE after diagnosis. Systematic regimens were conducted during 1 month according to guidelines after local treatment. Intrathoracic MPE progression-free survival (iPFS) and overall survival (OS) were calculated, Univariate and multivariable Cox-regression were used to identify factors associated with iPFS and OS. A total of 33 patients were evaluated; 10 (30.3%) patients received IPCD, and 23 (69.7%) patients received HITHOC. No difference in the MPE control rate at 1 month was found between the IPCD group (90%) and HITHOC group (95.7%). However, this control rate was significantly higher in the HITHOC group (69.6%) than in the IPCD group (30%) at 3 months (P = 0.035). Multivariate analysis showed that receiving tyrosine kinase inhibitors (TKIs) or chemotherapy was a significant protective factor for iPFS (HR = 0.376, 95% CI 0.214-0.659, P = 0.007) and OS (HR = 0.321, 95% CI 0.174-0.594, P < 0.001). According to subgroup analysis, among patients treated with TKIs, those who received HITHOC had longer iPFS and OS than those who received IPCD (P = 0.011 and P = 0.002, respectively), but this difference was not found in the palliative care subgroup. Moreover, no patients treated with chemotherapy showed reaccumulation of MPE. Systematic TKIs or chemotherapy prolonged iPFS and OS for those initially diagnosed with lung cancer with symptomatic MPE. HITHOC prolonged iPFS and OS for those treated with systematic TKIs.

Lung Cancer Screening Adherence Among People with HIV Treated at an Integrated Health System in Florida.

We evaluated low-dose computed tomography (LDCT) adherence among people with HIV (PWH) treated at University of Florida (UF). From the UF Health Integrated Data Repository, we identified PWH who underwent at least one LDCT procedure (January 1, 2012-October 31, 2021). Lung cancer screening adherence was defined as having a second LDCT within recommended observation window, based on the Lung Imaging Reporting and Data System (Lung-RADS®). We identified 73 PWH with a history of at least one LDCT. PWH were mostly male (66%), non-Hispanic Black (53%), and living in urban (86%), high poverty (45%) areas. Almost 1 in 10 of PWH were diagnosed with lung cancer after their first LDCT. Overall, 48% and 41% of PWH were diagnosed with Lung-RADS categories 1 and 2, respectively. We observed that 12% of PWH were adherent to LDCT. Only 25% of PWH diagnosed with category 4A were adherent. PWH may have poor adherence to lung cancer screening.

Vitamin D Status Is Associated With Immune Checkpoint Inhibitor Efficacy and Immune-related Adverse Event Severity in Lung Cancer Patients: A Prospective Cohort Study.

Vitamin D (VitD) is potentially immunomodulatory, so here we aimed to explore the relationships between serum VitD levels, immune checkpoint inhibitor (ICI) efficacy, and immune-related adverse events (irAEs). Serum 25-hydroxyvitamin D [25(OH)D] levels were quantified before and after ICI treatment in prospectively enrolled patients with advanced lung cancers. Of 77 enrolled patients, 29 developed 42 irAEs. Baseline 25(OH)D levels of partial response (PRs) patients were significantly higher than non-PR patients (19.39±7.16 vs. 16.28±5.99 ng/mL, P =0.04). The area under the curve of 25(OH)D >15.73 ng/mL to identify PR was 0.63 (95% CI, 0.51-0.76, P =0.047), and baseline 25(OH)D levels >15.73 ng/mL (odds ratio: 2.93, 95% CI, 1.10-7.79, P =0.03) and prior targeted therapy (odds ratio: 0.30, 95% CI, 0.10-0.92, P =0.04) were independent predictors of PR as best efficacy by multivariable logistic regression. With respect to irAEs, baseline 25(OH)D levels were higher in grade 1 irAE patients than in grade 2/3/4 irAE patients (20.07±8.64 vs. 15.22±2.30 ng/mL, P =0.02). However, the area under the curve was only 0.56 (95% CI, 0.42-0.70, P =0.39) for a baseline 25(OH)D of 20.99 ng/mL for predicting irAE occurrence. There was a direct monotonic relationship and U-shaped relationship between baseline 25(OH)D levels and ICI efficacy and irAE occurrence, respectively. Overall survival was significantly different between VitD sufficient, insufficient, and deficient patients (log-rank P =0.01), which remained after adjustment in Cox proportional hazards regression models. Baseline 25(OH)D levels seem to be associated with ICI efficacy and prognosis, it might be helpful to assess the baseline VitD status, and supplementation with VitD might bring some benefit to enhance ICI efficacy and reduce moderate-severe irAEs.

Identification of CLIC5 as a Prognostic Biomarker and Correlated Immunomodulator for Lung Adenocarcinoma.

BACKGROUND: Lung adenocarcinoma (LUAD) is one of the most common pathological types of lung cancer. The gene Chloride Intracellular Channel 5 (CLIC5) has an important role in neurophysiology, cardiovascular biology, and tumour biology. Here, we explored the prognostic value and immune infiltration of CLIC5 expression in LUAD patients. METHODS: We extracted transcriptional LUAD data from The Cancer Genome Atlas (TCGA) and the University of Alabama Cancer Database to explore CLIC5 expression profiles and their relation to CLIC5 and clinicopathological parameters. The relationship between CLIC5 and survival time was explored using Kaplan-Meier Plotter. Then, we integrated the data from TCGA and the Gene Expression Omnibus (GEO) database to perform univariate and multivariate Cox regression. We performed CLIC5 immunohistochemical staining on 167 lung adenocarcinoma samples for further verification. In addition, we analysed the Gene Ontology (GO) database, Kyoto Encyclopaedia of Genes and Genomes pathways and network analysis of protein-protein interactions in lung tissue, to explore the potential mechanism of CLIC5. To analyse the correlation between immune infiltration and CLIC5 expression, we first compared the expression of immune cells in tumour tissues and normal tissues based on the TCGA and GEO databases. We found 51 immunomodulators related to CLIC5 and structured their enrichment pathways as well as those of 50 correlated genes. We used a Cox regression model to identify multiple-gene risk prediction signatures. Finally, we assessed the prognostic accuracy of the risk scores via receiver operating characteristic curves. RESULTS: CLIC5 expression levels were significantly lower in LUAD tissue than in normal tissue. Lower CLIC5 expression was negatively correlated to the overall survival of LUAD patients based on survival analysis. We identified CLIC5 as an independent prognosis predictor. Functional network analysis suggested that CLIC5 is related to multiple pathways. CLIC5 expression is closely related to infiltration levels of many immune cells and immune marker sets in LUAD patients. Furthermore, the risk score based on immunomodulators related to CLIC5 was an independent prognosis predictor in the TCGA lung cohorts. CONCLUSION: Our findings suggest that CLIC5 is a promising molecular marker for the prognosis and immune infiltration of LUAD patients.

Correlation of PADI4, GBP1, miR-215, and TMB Expression Levels with Clinical Characteristics and Prognosis of Lung Cancer.

Objective: The study aims to explore the correlation between the expression levels of peptidylarginine deiminase 4 (PADI4), guanylate binding protein 1 (GBP1), miR-215, and tumor mutational burden (TMB) and clinical features and prognosis of lung cancer. Methods: A total of 156 patients with lung cancer admitted to our hospital from July 2021 to March 2022 were selected. Clinical characteristics of patients were collected and PADI4, GBP1, miR-215, and TMB levels were detected. The correlation between the expression levels of PADI4, GBP1, miR-215, and TMB and the clinical characteristics of lung cancer was analyzed. The predictive value of the expression levels of PADI4, GBP1, miR-215, and TMB for lung cancer prognosis was analyzed by the receiver operator characteristic (ROC) curve. Results: The expression levels of PADI4 and GBP1 were significantly different with respect to smoking history and histopathological type of lung cancer (P < .05). The expression levels of miR-215 and TMB were significantly different in terms of age, smoking history, lymph node metastasis, and tumor node metastasis (TNM) stage of lung cancer (P < .05). ROC curve results showed that the area under the curve (AUC) of PADI4, GBP1, miR-215, and TMB combined to predict the prognosis of lung cancer was 0.814 (0.789-0.912), which was higher than the diagnostic efficacy of single biomarker (P < .05). Its sensitivity and specificity were 85.75% and 89.34%, respectively. Conclusions: The expression levels of PADI4, GBP1, miR-215, and TMB are correlated with the clinical characteristics and prognosis of lung cancer, and can be used as prognostic markers.

Clinical Analysis of 80 Patients of Multiple Primary Lung Cancers Undergoing Simultaneous Video-Assisted Thoracoscopic Surgery.

Objective: To explore the diagnosis, treatment and prognosis of multiple primary lung cancers (MPLCs) through summarizing and analyzing the clinical data of 80 patients with MPLCs. Methods: The clinical and pathological data of 80 patients who were diagnosed with MPLCs according to the Martini-Melamed criteria and who underwent simultaneous video-assisted thoracoscopic surgery in our hospital from January 2017 to June 2018 were retrospectively analyzed. The Kaplan-Meier method was used for survival analysis. Log-rank test was used for univariate analysis and Cox proportional hazards regression model for multivariate analysis to evaluate the independent risk factors affecting the prognosis of MPLCs. Results: Among the 80 patients, there were 22 cases with MPLCs and 58 cases with double primary lung cancers. The surgical approach was mainly pulmonary lobectomy and pulmonary segmental or wedge resection (41.25%, 33/80), and lesions occurred predominantly in the upper lobe of the right lung (39.8%, 82/206). The pathology of lung cancers was mainly adenocarcinoma (89.8%, 185/206), with invasive adenocarcinoma as a dominant pathological type (68.6%, 127/185), in which acinar subtype was found to be predominant (79.5%, 101/127). The proportion of MPLCs with the same histopathological type (96.3%, 77/80) was higher than that with different histopathological types (3.7%, 3/80). Postoperative pathological staging showed stage I in most patients (86.25%, 69/80). Univariate analysis revealed that the maximum tumor diameter, highest pathological stage and lymph node metastasis were correlated with disease-free survival (P < .05). The overall median survival time of patients was 50 months. Cox multivariate regression analysis indicated that lymph node metastasis was an independent risk factor affecting the prognosis of MPLC patients (P < .05). Conclusion: MPLCs occur principally in the upper lobe of the right lung and pulmonary adenocarcinoma is the most dominant pathological type, with acinar type as the predominant pathological subtype. Lymph node metastasis is an independent risk factor affecting the prognosis of MPLC patients. A favorable prognosis can be achieved through early diagnosis and active surgical treatment for individuals who are highly suspected of MPLCs indicated by imaging examination.

Occupational asbestos exposure and survival among lung cancer patients.

OBJECTIVE: This study investigated the association between occupational asbestos exposure (OAE) and survival in patients with histologically confirmed lung cancer (LC). METHODS: This monocentric study was conducted in the Comprehensive Cancer Centre Léon Bérard, Lyon, France. A systematic screening has been in place since 2014 for occupational exposure to carcinogens using a self-assessment questionnaire sent to all patients newly diagnosed with histologically confirmed LC identified through the multidisciplinary LC board from 2014 to 2019. When the physician suspected a work-related exposure from the questionnaire including job history, an occupational cancer consultation was carried out to detail carcinogen exposures and assess if the LC was work-related. Demographics, clinical characteristics and survival data were extracted from medical records. The association between asbestos exposure and overall survival (hazard ratio and 95% confidence intervals) was estimated by Cox proportional hazards regression. RESULTS: Overall, 702 patients were eligible to the present study, including 180 patients with OAE. In the crude analysis, LCs assessed as moderately or highly attributable to OAE were associated with decreased overall survival (HR = 1.32, 95 %CI 1.04-1.67) compared to LC without OAE or with a low degree of imputability to OAE (median follow-up 28.8 months). After adjustment for confounding (age at diagnosis, smoking status, stage, brain metastasis at diagnosis, and histology), the association of OAE with overall survival was no longer statistically significant (HR = 1.21, 95 %CI 0.94-1.56). CONCLUSION: Overall survival in occupationally asbestos exposed LC patients may be decreased in comparison with non-exposed LC patients, warranting further investigations in larger studies.

Assessing the Contribution of Scanned Outside Documents to the Completeness of Real-World Data Abstraction.

PURPOSE: Electronic health record (EHR) data are widely used in precision medicine, quality improvement, disease surveillance, and population health management. However, a significant amount of EHR data are stored in unstructured formats including scanned documents external to the treatment facility presenting an informatics challenge for secondary use. Studies are needed to characterize the clinical information uniquely available in scanned outside documents (SODs) to understand to what extent the availability of such information affects the use of these real-world data for cancer research. MATERIALS AND METHODS: Two independent EHR data abstractions capturing 30 variables commonly used in oncology research were conducted for 125 patients treated for advanced non-small-cell lung cancer at a comprehensive cancer center, with and without consideration of SODs. Completeness and concordance were compared between the two abstractions, overall, and by patient groups and variable types. RESULTS: The overall completeness of the data with SODs was 77.6% as compared with 54.3% for the abstraction without SODs. The differences in completeness were driven by data related to biomarker tests, which were more likely to be uniquely available in SODs. Such data were prone to missingness among patients who were diagnosed externally. CONCLUSION: There were no major differences in completeness between the two abstractions by demographics, diagnosis, disease progression, performance status, or oral therapy use. However, biomarker data were more likely to be uniquely contained in the SODs. Our findings may help cancer centers prioritize the types of SOD data being abstracted for research or other secondary purposes.

Method of Tissue Acquisition Affects Success of Comprehensive Genomic Profiling in Lung Cancer.

CONTEXT.­: Multiple procedural techniques can be used to obtain tissue to create a formalin-fixed, paraffin-embedded specimen for comprehensive genomic profiling (CGP) in lung cancer. The literature is mixed on whether the procedure affects CGP success. OBJECTIVE.­: To examine whether biopsy procedure affects lung cancer CGP success. DESIGN.­: This was a cross-sectional study of all patients with lung cancer whose specimens were submitted for CGP between January and February 2020. Multiple quality control metrics were used to determine whether cases were successfully profiled. RESULTS.­: In all, 3312 samples were identified. Overall, 67.5% (2236 of 3312) of samples were obtained from biopsies, 13.0% (432 of 3312) from fine-needle aspirations (FNAs), 9.7% (321 of 3312) from resections, 5.3% (174 of 3312) from fluid cytology cell blocks, and 4.5% (149 of 3312) from bone biopsies. Overall, 70.1% (2321 of 3312) of cases passed CGP, 15.4% (510 of 3312) of cases were released as qualified reports, and 14.5% (481 of 3312) of cases failed CGP. Resection samples were the most likely to be successfully sequenced, failing in only 2.8% (9 of 321) of instances, while fluid cytology specimens were the least likely, failing in 23.0% (40 of 174) of instances. Biopsy (14.5% [324 of 2236]), FNA (18.5% [80 of 432]), and bone biopsy (18.8% [28 of 149]) specimens failed at intermediate frequencies. On multivariate logistic regression analysis of CGP success on specimen type, fluid cytology (odds ratio [OR], 0.08; 95% CI, 0.03-0.19), biopsy (OR, 0.25; 95% CI, 0.11-0.52), FNA (OR, 0.14; 95% CI, 0.06-0.32), and bone biopsy (OR, 0.07; 95% CI, 0.03-0.17) specimens had decreased odds of CGP success relative to resection samples. Among patients with successfully sequenced samples, 48.0% were eligible for at least 1 therapy, based on a companion diagnostic or National Comprehensive Cancer Network biomarker. CONCLUSIONS.­: The method of tissue acquisition was an important preanalytic factor that determined whether a sample would be successfully sequenced and whether a clinically actionable genomic alteration would be detected.

Observation of the Curative Effect of Acupuncture for Tonifying Kidney and Removing Blood Stasis Combined with Radiofrequency Surgery in Patients with NSCLC and the Diagnostic Efficacy of Combined Detection of NTx, BGP, and CYFRA21-1 in the Occurrence of Bone Metastases.

The curative effect observation of acupuncture for tonifying kidney and removing blood stasis combined with radiofrequency surgery in patients with non-small-cell lung carcinoma (NSCLC) and the diagnostic efficacy of combined detection of NTx, BGP, and CYFRA21-1 for bone metastases are investigated. 122 NSCLC patients admitted to our hospital from January 2019 to December 2021 are selected for the examination, and the two sets of patients are randomly divided into the study set and the control set using the random number table method, with 61 cases in each set. Patients in the control set are given CT-guided percutaneous radiofrequency ablation therapy, and patients in the study set are given a combination of acupuncture therapy for tonifying the kidney and removing blood stasis on the basis of the therapy of the control set. The experimental results show that for NSCLC patients, the application of kidney-tonifying and stasis-removing acupuncture therapy combined with radiofrequency surgery can notoriously enhance the clinical therapy effect and enhance the quality of life of patients, and the detection of NTx, BGP, and CYFRA21-1 indicators can effectively predict the prognosis.