Disparities in lung cancer.

Lung cancer is the second most common cancer and the leading cause of cancer death among men and women in the United States. Despite a substantial decline in lung cancer incidence and mortality across all races in the last few decades, medically underserved racial and ethnic minority populations continue to carry the greatest burden of disease throughout the lung cancer continuum. Black individuals experience a higher incidence of lung cancer due to lower rates of low-dose computed tomography screening, which translate into advanced disease stage at diagnosis and poorer survival outcomes compared with White individuals. With respect to treatment, Black patients are less likely to receive gold standard surgery, have access to biomarker testing or high-quality treatment compared with White patients. The reasons for those disparities are multifactorial and include socioeconomic (eg, poverty, lack of health insurance, and inadequate education), and geographic inequalities. The objective of this article is to review the sources of racial and ethnic disparities in lung cancer, and to propose recommendations to help address them.

General population reference values for the Functional Assessment of Cancer Therapy-Lung and PROMIS-29.

BACKGROUND: Therapeutic advances in lung cancer have turned attention toward patient-reported outcome measures (PROMs) as important clinical outcomes. The Functional Assessment of Cancer Therapy-Lung (FACT-L) is a common endpoint in lung cancer trials. This study calculated FACT-L reference values for the United States (US) general population. METHODS: Adults from the US general population (N = 2001) were surveyed between September 2020 and November 2020. Surveys contained 126 questions, including the FACT-L [36 items; FACT-G and four subscales (Physical Well-Being [PWB], Social Well-Being [SWB], Emotional Well-Being [EWB], and Functional Well-Being [FWB]) and the Lung Cancer Subscale (LCS), and a Trial Outcome Index (TOI)]. Reference values for each FACT-L scale were calculated with means for the total sample and separately for participants with: no comorbidities, COVID-19 as only comorbidity, no COVID-19. RESULTS: In the total sample, the reference scores were as follows: PWB = 23.1; SWB = 16.8; EWB = 18.5; FWB = 17.6; FACT-G = 76.0; LCS = 23.0, TOI = 63.7, and FACT-L Total = 99.0. Scores were lower for those reporting a prior diagnosis of COVID-19, especially for SWB (15.7) and FWB (15.3). SWB scores were lower than previous references values. CONCLUSIONS: These data provide US general adult population reference value set for FACT-L. While some of the subscale results were lower than those found in the reference data for other PROMs, these data were obtained in a more contemporaneous time frame juxtaposed with the COVID-19 pandemic and may represent a new peri-pandemic norm. Thus, these reference values will be useful for future clinical research.

Risk factors and actionable molecular signatures in COVID-19-associated lung adenocarcinoma and lung squamous cell carcinoma patients.

The molecular mechanism of the pathological impact of COVID-19 in lung cancer patients remains poorly understood to date. In this study, we used differential gene expression pattern analysis to try to figure out the possible disease mechanism of COVID-19 and its associated risk factors in patients with the two most common types of non-small-cell lung cancer, namely, lung adenocarcinoma and lung squamous cell carcinoma. We also used network-based approaches to identify potential diagnostic and molecular targets for COVID-19-infected lung cancer patients. Our study showed that lung cancer and COVID-19 patients share 36 genes that are expressed differently and in common. Most of these genes are expressed in lung tissues and are mostly involved in the pathogenesis of different respiratory tract diseases. Additionally, we also found that COVID-19 may affect the expression of several cancer-associated genes in lung cancer patients, such as the oncogenes JUN, TNC, and POU2AF1. Moreover, our findings suggest that COVID-19 may predispose lung cancer patients to other diseases like acute liver failure and respiratory distress syndrome. Additionally, our findings, in concert with published literature, suggest that molecular signatures, such as hsa-mir-93-5p, CCNB2, IRF1, CD163, and different immune cell-based approaches could help both diagnose and treat this group of patients. Altogether, the scientific findings of this study will help formulate appropriate management measures and guide the development of diagnostic and therapeutic measures for COVID-19-infected lung cancer patients.

Review of Lung Cancer Patient Characteristics and Treatment Strategies in the Pandemic Covid-19 Year.

Introduction: It is estimated that delays in diagnosis due to the COVID-19 pandemic in North Macedonia could result in significant reductions in the number of potentially curative stages in lung cancer patients. Purpose: The aim of this study was to review patient characteristics and treatment strategies of lung cancer patients treated at the University Clinic of Radiotherapy and Oncology (UCRO), during the pre-pandemic year (from 1 of March 2019 to the end of February 2020) and the pandemic year (from 1 of March 2020 to the end of February 2021). Material: We analyzed eligible patients in the course of these two years according to patient characteristics and treatment strategies. Results: We have a record increasing in number of undefined lung cancer patients without any pathological or histological conformation (11% pandemic year compared to 7% in the previous year), and an increased number of stage III and IV NSCLC patients in the pandemic year 449 (87%), in comparison to the pre-pandemic year of 403 (74%) patients. We have found a decreasing number of stage II NSCLC patients in the pandemic year 82 (13%) compared to 141 (26%) patients in the pre-pandemic year. We also note a decreasing number of patients with NSCLC operated on from 218 to 123 in the pandemic group. Due to frequent check-ups for COVID-19, we report an increasing number of early stage IA and stage IB patients, treated only by surgery. Conclusions: The strict screening and admittance criteria put in place by hospitals during the pandemic might have improved the oncology treatment course of lung cancer patients.

Changes in Stage at Presentation among Lung and Breast Cancer Patients During the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic altered access to healthcare by decreasing the number of patients able to receive preventative care and cancer screening. We hypothesized that, given these changes in access to care, radiologic screening for breast and lung cancer would be decreased, and patients with these cancers would consequently present at later stages of their disease. STUDY DESIGN: This is a retrospective cross-sectional study of 2017 to September 2021 UMass Memorial Tumor Registry data for adult breast and lung cancer patients. Changes in stage at presentation of breast and lung cancer during the COVID-19 pandemic were measured, defined as before and during COVID-19. RESULTS: There were no statistically significant changes in the overall stage of presentation before or during the COVID-19 pandemic for either breast or lung cancer patients. Analysis of case presentation and stage during periods of COVID-19 surges that occurred during the time of this study compared with prepandemic data demonstrated a statistically significant decrease in overall presentation of breast cancer patients in the first surge, with no other statistically significant changes in breast cancer presentation. A nonstatistically significant decrease in lung cancer presentation was seen during the initial surge of COVID-19. There was also a statistically significant increase in early-stage presentation of lung cancer during the second and third COVID-19 surges. CONCLUSIONS: In the 2 years after the COVID-19 pandemic, we were not able to demonstrate stage migration at presentation of breast and lung cancer patients to later stages despite decreases in overall presentation during the initial 2 years of the COVID pandemic. An increase in early-stage lung cancer during the second and third surges is interesting and could be related to increased chest imaging for COVID pneumonia.

Feasibility of Single - Encounter Telemedicine Lung Cancer Screening: A Retrospective Cohort Study in an Underserved Population.

BACKGROUND: COVID-19 forced a delay of non-essential health services, including lung cancer screening. Our institution developed a single-encounter, telemedicine (SET) lung cancer screening whereby patients receive low-dose CT in-person, but counseling regarding results, coordination of follow-up care and smoking cessation is delivered using telemedicine. This study compares outcomes of SET lung cancer screening to our pre-COVID, single-visit, in-person (SIP) lung cancer screening. METHODS: A retrospective cohort study was performed we recorded independent variables of gender, race/ethnicity, age, educational attainment, smoking status and dependent variables including cancer diagnosis, stage and treatment between March 2019 to July 2021. Using retrospective analysis, we compared outcomes of SIP lung cancer screening before COVID-19 and SET lung cancer screening amid COVID-19. RESULTS: There was a significant difference in number of patients screened pre- and amid COVID-19.673 people were screened via SIP, while only 440 were screened via SET. SIP screening consisted of 52.5% Black/African American patients, which decreased to 37% with SET lung cancer screening. There was no significant difference in gender, age, or educational attainment. There was also no significant difference in Lung-RADS score between the 2 methods of screening or diagnostic procedures performed. Ultimately telemedicine based screening diagnosed fewer cancers, 1.6% diagnosed via telemedicine vs 3.3% screened by in person. CONCLUSION: We implemented SET lung cancer screening to continue lung cancer screening during a global pandemic. Our study established feasibility of telemedicine-based lung cancer screening among our predominantly African American/Black population, though fewer patients were screened. We found no difference in distribution between age, or educational attainment suggesting other factors discouraging lung cancer screening amid COVID-19.

Diagnosis and treatment outcomes from prebronchodilator spirometry performed alongside lung cancer screening in a Lung Health Check programme.

INTRODUCTION: Incorporating spirometry into low-dose CT (LDCT) screening for lung cancer may help identify people with undiagnosed chronic obstructive pulmonary disease (COPD), although the downstream impacts are not well described. METHODS: Participants attending a Lung Health Check (LHC) as part of the Yorkshire Lung Screening Trial were offered spirometry alongside LDCT screening. Results were communicated to the general practitioner (GP), and those with unexplained symptomatic airflow obstruction (AO) fulfilling agreed criteria were referred to the Leeds Community Respiratory Team (CRT) for assessment and treatment. Primary care records were reviewed to determine changes to diagnostic coding and pharmacotherapy. RESULTS: Of 2391 LHC participants undergoing prebronchodilator spirometry, 201 (8.4%) fulfilled the CRT referral criteria of which 151 were invited for further assessment. Ninety seven participants were subsequently reviewed by the CRT, 46 declined assessment and 8 had already been seen by their GP at the time of CRT contact. Overall 70 participants had postbronchodilator spirometry checked, of whom 20 (29%) did not have AO. Considering the whole cohort referred to the CRT (but excluding those without AO postbronchodilation), 59 had a new GP COPD code, 56 commenced new pharmacotherapy and 5 were underwent pulmonary rehabilitation (comprising 2.5%, 2.3% and 0.2% of the 2391 participants undergoing LHC spirometry). CONCLUSIONS: Delivering spirometry alongside lung cancer screening may facilitate earlier diagnosis of COPD. However, this study highlights the importance of confirming AO by postbronchodilator spirometry prior to diagnosing and treating patients with COPD and illustrates some downstream challenges in acting on spirometry collected during an LHC.

Validity of diagnoses of respiratory diseases recorded in a Japanese administrative database.

BACKGROUND: Validating the information recorded in administrative databases is essential. However, no study has comprehensively validated the accuracy of Japanese Diagnosis Procedure Combination (DPC) data on various respiratory diseases. Therefore, this study aimed to evaluate the validity of diagnoses of respiratory diseases in the DPC database. METHODS: We conducted chart reviews of 400 patients hospitalized in the departments of respiratory medicine in two acute-care hospitals in Tokyo, between April 1, 2019 and March 31, 2021, and used them as reference standards. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of DPC data on 25 respiratory diseases were determined. RESULTS: Sensitivity ranged from 22.2% (aspiration pneumonia) to 100% (chronic eosinophilic pneumonia and malignant pleural mesothelioma) and was <50% for eight diseases, while specificity was >90% for all diseases. PPV ranged from 40.0% (aspiration pneumonia) to 100% (coronavirus disease 2019, bronchiectasis, chronic eosinophilic pneumonia, pulmonary hypertension, squamous cell carcinoma, small cell carcinoma, lung cancer of other histological types, and malignant pleural mesothelioma) and was >80% for 16 diseases. Except for chronic obstructive pulmonary disease (82.9%) and interstitial pneumonia (other than idiopathic pulmonary fibrosis) (85.4%), NPV was >90% for all diseases. These validity indices were similar in both hospitals. CONCLUSIONS: The validity of diagnoses of respiratory diseases in the DPC database was high in general, thereby providing an important basis for future studies.

A rare case of pulmonary benign metastasising leiomyomatosis in a woman with a previous history of hysterectomy for uterine fibroids.

Benign metastasising leiomyomatosis (BML) is a rare disease, predominantly seen in premenopausal women. It poses a diagnostic dilemma and can be misdiagnosed as malignancy. Here we present a case of 41-year-old woman with a previous history of hysterectomy 10 years ago for multiple fibroids. She presented with shortness of breath and chest discomfort. Chest X-ray showed pulmonary infiltrates. She was diagnosed with sarcoidosis and treated with steroids without any improvement. Further investigations including CT scan and bronchoscopy and lavage failed to confirm a diagnosis. Subsequently she underwent video-assisted thoracoscopic surgery and histopathology revealed leiomyomatosis (so-called leiomyomatous hamartomas/benign metastasising leiomyomatosis). Oestrogen and progesterone receptors showed diffuse and strong nuclear staining. The patient was commenced on tamoxifen and a repeat chest X-ray in 8 weeks showed significant improvement. In women of reproductive age with previous hysterectomy and multiple lung nodules on imaging, the diagnosis of BML should be taken into consideration.

Identification of Potential Key Genes and Prognostic Biomarkers of Lung Cancer Based on Bioinformatics.

Objective: To analyze and identify the core genes related to the expression and prognosis of lung cancer including lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) by bioinformatics technology, with the aim of providing a reference for clinical treatment. Methods: Five sets of gene chips, GSE7670, GSE151102, GSE33532, GSE43458, and GSE19804, were obtained from the Gene Expression Omnibus (GEO) database. After using GEO2R to analyze the differentially expressed genes (DEGs) between lung cancer and normal tissues online, the common DEGs of the five sets of chips were obtained using a Venn online tool and imported into the Database for Annotation, Visualization, and Integrated Discovery (DAVID) database for Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. The protein-protein interaction (PPI) network was constructed by STRING online software for further study, and the core genes were determined by Cytoscape software and KEGG pathway enrichment analysis. The clustering heat map was drawn by Excel software to verify its accuracy. In addition, we used the University of Alabama at Birmingham Cancer (UALCAN) website to analyze the expression of core genes in P53 mutation status, confirmed the expression of crucial core genes in lung cancer tissues with Gene Expression Profiling Interactive Analysis (GEPIA) and GEPIA2 online software, and evaluated their prognostic value in lung cancer patients with the Kaplan-Meier online plotter tool. Results: CHEK1, CCNB1, CCNB2, and CDK1 were selected. The expression levels of these four genes in lung cancer tissues were significantly higher than those in normal tissues. Their increased expression was negatively correlated with lung cancer patients (including LUAD and LUSC) prognosis and survival rate. Conclusion: CHEK1, CCNB1, CCNB2, and CDK1 are the critical core genes of lung cancer and are highly expressed in lung cancer. They are negatively correlated with the prognosis of lung cancer patients (including LUAD and LUSC) and closely related to the formation and prediction of lung cancer. They are valuable predictors and may be predictive biomarkers of lung cancer.

Optimizing the implementation of lung cancer screening in Scotland: Focus group participant perspectives in the LUNGSCOT study.

INTRODUCTION: Targeted lung cancer screening is effective in reducing lung cancer and all-cause mortality according to major trials in the United Kingdom and Europe. However, the best ways of implementing screening in local communities requires an understanding of the population the programme will serve. We undertook a study to explore the views of those potentially eligible for, and to identify potential barriers and facilitators to taking part in, lung screening, to inform the development of a feasibility study. METHODS: Men and women aged 45-70, living in urban and rural Scotland, and either self-reported people who smoke or who recently quit, were invited to take part in the study via research agency Taylor McKenzie. Eleven men and 14 women took part in three virtual focus groups exploring their views on lung screening. Focus group transcripts were transcribed and analysed using thematic analysis, assisted by QSR NVivo. FINDINGS: Three overarching themes were identified: (1) Knowledge, awareness and acceptability of lung screening, (2) Barriers and facilitators to screening and (3) Promoting screening and implementation ideas. Participants were largely supportive of lung screening in principle and described the importance of the early detection of cancer. Emotional and psychological concerns as well as system-level and practical issues were discussed as posing barriers and facilitators to lung screening. CONCLUSIONS: Understanding the views of people potentially eligible for a lung health check can usefully inform the development of a further study to test the feasibility and acceptability of lung screening in Scotland. PATIENT OR PUBLIC CONTRIBUTION: The LUNGSCOT study has convened a patient advisory group to advise on all aspects of study development and implementation. Patient representatives commented on the focus group study design, study materials and ethics application, and two representatives read the focus group transcripts.

Multigroup prediction in lung cancer patients and comparative controls using signature of volatile organic compounds in breath samples.

Early detection of lung cancer is a crucial factor for increasing its survival rates among the detected patients. The presence of carbonyl volatile organic compounds (VOCs) in exhaled breath can play a vital role in early detection of lung cancer. Identifying these VOC markers in breath samples through innovative statistical and machine learning techniques is an important task in lung cancer research. Therefore, we proposed an experimental approach for generation of VOC molecular concentration data using unique silicon microreactor technology and further identification and characterization of key relevant VOCs important for lung cancer detection through statistical and machine learning algorithms. We reported several informative VOCs and tested their effectiveness in multi-group classification of patients. Our analytical results indicated that seven key VOCs, including C4H8O2, C13H22O, C11H22O, C2H4O2, C7H14O, C6H12O, and C5H8O, are sufficient to detect the lung cancer patients with higher mean classification accuracy (92%) and lower standard error (0.03) compared to other combinations. In other words, the molecular concentrations of these VOCs in exhaled breath samples were able to discriminate the patients with lung cancer (n = 156) from the healthy smoker and nonsmoker controls (n = 193) and patients with benign pulmonary nodules (n = 65). The quantification of carbonyl VOC profiles from breath samples and identification of crucial VOCs through our experimental approach paves the way forward for non-invasive lung cancer detection. Further, our experimental and analytical approach of VOC quantitative analysis in breath samples may be extended to other diseases, including COVID-19 detection.

Impact of the COVID-19 Pandemic on a Cancer Fast-Track Programme.

INTRODUCTION: The COVID-19 pandemic has disrupted many aspects of clinical practice in oncology, particularly regarding early cancer diagnosis, sparking public health concerns that possible delays could increase the proportion of patients diagnosed at advanced stages. In 2009, a cancer fast-track program (CFP) was implemented at the Clinico-Malvarrosa Health Department in Valencia, Spain with the aim of shortening waiting times between suspected cancer symptoms, diagnosis and therapy initiation. OBJECTIVES: The study aimed to explore the effects of the COVID-19 pandemic on our cancer diagnosis fast-track program. METHODS: The program workflow (patients included and time periods) was analysed from the beginning of the state of alarm on March 16th, 2020 until March 15th, 2021. Data was compared with data from the same period of time from the year before (2019). RESULTS: During the pandemic year, 975 suspected cancer cases were submitted to the CFP. The number of submissions only decreased during times of highest COVID-19 incidence and stricter lockdown, and overall, referrals were slightly higher than in the previous 2 years. Cancer diagnosis was confirmed in 197 (24.1%) cases, among which 33% were urological, 23% breast, 16% gastrointestinal and 9% lung cancer. The median time from referral to specialist appointment was 13 days and diagnosis was reached at a median of 18 days. In confirmed cancer cases, treatment was started at around 30 days from time of diagnosis. In total, 61% of cancer disease was detected at early stage, 20% at locally advanced stage, and 19% at advanced stage, displaying time frames and case proportions similar to pre-pandemic years. CONCLUSIONS: Our program has been able to maintain normal flow and efficacy despite the challenges of the current pandemic, and has proven a reliable tool to help primary care physicians referring suspected cancer patients.

The Impact of COVID-19 on the Diagnosis and Treatment of Lung Cancer over a 2-Year Period at a Canadian Academic Center.

BACKGROUND: We have recently reported a 35% drop in new lung cancer diagnoses and a 64% drop in lung cancer surgeries during the first year of the pandemic. METHODS: The target population was divided into three cohorts: pre-COVID-19 (2019), first year of COVID-19 (2020), and second year of COVID-19 (2021). RESULTS: The number of new lung cancer diagnoses during the second year of the pandemic increased by 75%, with more than 50% being in the advanced/metastatic stage. There was a significant increase in cases with multiple extrathoracic sites of metastases during the pandemic. During the first year of the pandemic, significantly more patients were treated with radiosurgery compared to the pre-COVID-19 year. During the second year, the number of radiosurgery and surgical cases returned to pre-COVID-19 levels. No significant changes were observed in systemic chemotherapy and targeted therapy. No statistical difference was identified in the mean wait time for diagnosis and treatment during the three years of observation. However, the wait time for surgery was prolonged compared to the pre-COVID-19 cohort. CONCLUSIONS: The significant drop in new diagnoses of lung cancer during the first year of the pandemic was followed by an almost two-fold increase in the second year, with the increased rate of metastatic disease with multiple extra-thoracic site metastases. Limited access to surgery resulted in the more frequent use of radiosurgery.

The impact of COVID-19 on lung cancer detection, diagnosis and treatment for Maori in Aotearoa New Zealand.

AIM: The purpose of this article is to examine disparities in the impact of the COVID-19 pandemic on access to lung cancer diagnosis and access to clinical services between Maori and non-Maori. METHODS: Using national-level data, we examined age-standardised lung cancer registrations, diagnostic procedures (bronchoscopy) and lung surgeries separately by ethnic group for the years 2018-2020, as well as patterns of stage of diagnosis. RESULTS: We found a trend toward a reduction in rates of lung cancer registration in Maori (but not non-Maori/non-Pacific) New Zealanders in 2020 compared to 2018 and 2019, but no apparent shift in the distribution of stage at diagnosis. We found a trend toward a reduction in rates of bronchoscopy for both Maori and non-Maori/non-Pacific patients, with the largest reduction observed for Maori. Rates of lung cancer surgery appeared to have reduced for Maori patients, although this was based on a small number of procedures. CONCLUSIONS: We observed disparities between Maori and non-Maori/non-Pacific patients in lung cancer registration and bronchoscopy as a result of the COVID-19 pandemic.

Optic neuritis in lung adenocarcinoma: A challenging diagnosis.

Optic neuritis with CRMP-5 IgG is a paraneoplastic inflammation of the optic nerve associated with lung cancer, mostly small-cell lung cancer. We present the case of a patient with lung adenocarcinoma who developed progressive bilateral visual loss a few months after immune-chemotherapy with pembrolizumab and after Covid-19 vaccination. Positive CRMP-5 IgG were detected in blood sample and complete work-up - including brain MRI - did not show any progression. High dose systemic corticoids were administered with transient improving, followed by intravenous immunoglobulins, methotrexate and rituximab but despite negativization of CRMP-5 IgG, the patient had a progressive visual loss.

Artificial Intelligence-Powered Prediction of ALK Gene Rearrangement in Patients With Non-Small-Cell Lung Cancer.

PURPOSE: Several studies reported the possibility of predicting genetic abnormalities in non-small-cell lung cancer by deep learning (DL). However, there are no data of predicting ALK gene rearrangement (ALKr) using DL. We evaluated the ALKr predictability using the DL platform. MATERIALS AND METHODS: We selected 66 ALKr-positive cases and 142 ALKr-negative cases, which were diagnosed by ALKr immunohistochemical staining in our institution from January 2009 to March 2019. We generated virtual slide of 300 slides (150 ALKr-positive slides and 150 ALKr-negative slides) using NanoZoomer. HALO-AI was used to analyze the whole-slide imaging data, and the DenseNet network was used to build the learning model. Of the 300 slides, we randomly assigned 172 slides to the training cohort and 128 slides to the test cohort to ensure no duplication of cases. In four resolutions (16.0/4.0/1.0/0.25 µm/pix), ALKr prediction models were built in the training cohort and ALKr prediction performance was evaluated in the test cohort. We evaluated the diagnostic probability of ALKr by receiver operating characteristic analysis in each ALKr probability threshold (50%, 60%, 70%, 80%, 90%, and 95%). We expected the area under the curve to be 0.64-0.85 in the model of a previous study. Furthermore, in the test cohort data, an expert pathologist also evaluated the presence of ALKr by hematoxylin and eosin staining on whole-slide imaging. RESULTS: The maximum area under the curve was 0.73 (50% threshold: 95% CI, 0.65 to 0.82) in the resolution of 1.0 µm/pix. In this resolution, with an ALKr probability of 50% threshold, the sensitivity and specificity were 73% and 73%, respectively. The expert pathologist's sensitivity and specificity in the same test cohort were 13% and 94%. CONCLUSION: The ALKr prediction by DL was feasible. Further study should be addressed to improve accuracy of ALKr prediction.

COVID-19 and lung cancer: update on the latest screening, diagnosis, management and challenges.

Lung cancer, considered one of the most common causes of cancer deaths worldwide, is a complex disease with its own challenges. The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), compounded these challenges and forced the medical healthcare system to alter its approach to lung cancer. This narrative review aims to identify the effect of the COVID-19 pandemic on lung cancer screening, diagnosis and management. During this public health crisis, various medical societies have worked on developing guidelines to protect patients with lung cancer from the deleterious effects of SARS-CoV-2 infection, as well as from the complications imposed by treatment delays. The different therapeutic approaches, such as surgery, radiation oncology and immune checkpoint inhibitor therapy, along with the latest international recommendations, will be discussed. Protecting patients with lung cancer from COVID-19 complications, while avoiding barriers in treatment delays, has brought unique challenges to healthcare facilities. Prompt modifications to guidelines, and constant evaluation of their efficacy, are thus needed.