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Immunotherapy using a checkpoint inhibitor (CPI) alone or in combination with chemotherapy is the standard of care for treatment-naive patients with advanced non-small cell lung cancer (NSCLC) without driver mutations for which targeted therapies have been approved. It is unknown whether continuing CPI treatment beyond disease progression results in improved outcomes.Patients who experienced progressive disease (PD) after a clinical benefit from chemotherapy plus a CPI were enrolled. Patients received pembrolizumab (200 mg every 3 weeks) plus next-line chemotherapy. The primary end point was progression-free survival (PFS) according to the Response Evaluation Criteria in Solid Tumors (version 1.1). Key secondary end points included the overall survival (OS), clinical benefit rate, and toxicity. The authors' hypothesis was that continuing pembrolizumab beyond progression would improve the median PFS to 6 months in comparison with a historical control of 3 months with single-agent chemotherapy alone.Between May 2017 and February 2020, 35 patients were enrolled. The patient and disease characteristics were as follows: 51.4% were male; 82.9% were current or former smokers; and 74.3%, 20%, and 5.7% had adenocarcinoma, squamous cell carcinoma, and NSCLC not otherwise specified, respectively. The null hypothesis that the median PFS would be 3 months was rejected (p .05). The median PFS was 5.1 months (95% confidence interval [CI], 3.6-8.0 months). The median OS was 24.5 months (95% CI, 15.6-30.9 months). The most common treatment-related adverse events were fatigue (60%), anemia (54.3%), and nausea (42.9%). There were no treatment-related deaths.Pembrolizumab plus next-line chemotherapy in patients with advanced NSCLC who experienced PD after a clinical benefit from a CPI was associated with statistically significant higher PFS in comparison with historical controls of single-agent chemotherapy alone.

The treatment of lung cancer has improved significantly in recent years however, lung cancer remains as a leading cause of cancer-related mortality worldwide. Lung cancer screening has been explored, over the past several decades, as a means of reducing lung cancer mortality, to identify asymptomatic disease when it is potentially curable. The National Lung Screening Trial (NLST) established that low-dose computed tomography (LDCT) scans of the chest can be instrumental in reducing lung cancer mortality but the criteria for screening implemented in this trial may not be equitably sensitive across racial and sex subpopulations. Furthermore, the high false detection rate reported in this trial has raised concerns regarding overdiagnosis with LDCT alone. The aim of this review is to summarize the history of lung cancer screening trials, limitations of lung cancer screening, the impact of alternative risk prediction models in reducing disparities, and the use of biomarkers in conjunction with imaging to improve diagnostic authenticity.

Purpose:Low-dose CT screening can reduce lung cancer–related mortality. However, CT screening has an FDR of nearly 96%. We sought to assess whether urine samples can be a source for DNA methylation–based detection of non–small cell lung cancer (NSCLC).Experimental Design:This nested case–control study of subjects with suspicious nodules on CT imaging obtained plasma and urine samples preoperatively. Cases (n = 74) had pathologic confirmation of NSCLC. Controls (n = 27) had a noncancer diagnosis. We detected promoter methylation in plasma and urine samples using methylation on beads and quantitative methylation–specific real-time PCR for cancer-specific genes (CDO1, TAC1, HOXA7, HOXA9, SOX17, and ZFP42).Results:DNA methylation at cancer-specific loci was detected in both plasma and urine, and was more frequent in patients with cancer compared with controls for all six genes in plasma and in CDO1, TAC1, HOXA9, and SOX17 in urine. Univariate and multivariate logistic regression analysis showed that methylation detection in each one of six genes in plasma and CDO1, TAC1, HOXA9, and SOX17 in urine were significantly associated with the diagnosis of NSCLC, independent of age, race, and smoking pack-years. When methylation was detected for three or more genes in both plasma and urine, the sensitivity and specificity for lung cancer diagnosis were 73% and 92%, respectively.Conclusions:DNA methylation–based biomarkers in plasma and urine could be useful as an adjunct to CT screening to guide decision-making regarding further invasive procedures in patients with pulmonary nodules.

Univariate logistic regression analysis for risk of having NSCLC.

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Summary Background Data on patients with COVID-19 who have cancer are lacking. Here we characterise the outcomes of a cohort of patients with cancer and COVID-19 and identify potential prognostic factors for mortality and severe illness. Methods In this cohort study, we collected de-identified data on patients with active or previous malignancy, aged 18 years and older, with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection from the USA, Canada, and Spain from the COVID-19 and Cancer Consortium (CCC19) database for whom baseline data were added between March 17 and April 16, 2020. We collected data on baseline clinical conditions, medications, cancer diagnosis and treatment, and COVID-19 disease course. The primary endpoint was all-cause mortality within 30 days of diagnosis of COVID-19. We assessed the association between the outcome and potential prognostic variables using logistic regression analyses, partially adjusted for age, sex, smoking status, and obesity. This study is registered with ClinicalTrials.gov, NCT04354701, and is ongoing. Findings Of 1035 records entered into the CCC19 database during the study period, 928 patients met inclusion criteria for our analysis. Median age was 66 years (IQR 57–76), 279 (30%) were aged 75 years or older, and 468 (50%) patients were male. The most prevalent malignancies were breast (191 [21%]) and prostate (152 [16%]). 366 (39%) patients were on active anticancer treatment, and 396 (43%) had active (measurable) cancer. At analysis (May 7, 2020), 121 (13%) patients had died. In logistic regression analysis, independent factors associated with increased 30-day mortality, after partial adjustment, were: increased age (per 10 years; partially adjusted odds ratio 1·84, 95% CI 1·53–2·21), male sex (1·63, 1·07–2·48), smoking status (former smoker vs never smoked: 1·60, 1·03–2·47), number of comorbidities (two vs none: 4·50, 1·33–15·28), Eastern Cooperative Oncology Group performance status of 2 or higher (status of 2 vs 0 or 1: 3·89, 2·11–7·18), active cancer (progressing vs remission: 5·20, 2·77–9·77), and receipt of azithromycin plus hydroxychloroquine (vs treatment with neither: 2·93, 1·79–4·79; confounding by indication cannot be excluded). Compared with residence in the US-Northeast, residence in Canada (0·24, 0·07–0·84) or the US-Midwest (0·50, 0·28–0·90) were associated with decreased 30-day all-cause mortality. Race and ethnicity, obesity status, cancer type, type of anticancer therapy, and recent surgery were not associated with mortality. Interpretation Among patients with cancer and COVID-19, 30-day all-cause mortality was high and associated with general risk factors and risk factors unique to patients with cancer. Longer follow-up is needed to better understand the effect of COVID-19 on outcomes in patients with cancer, including the ability to continue specific cancer treatments. Funding American Cancer Society, National Institutes of Health, and Hope Foundation for Cancer Research.

Background The frequency of coinfections and their association with outcomes have not been adequately studied among patients with cancer and coronavirus disease 2019 (COVID-19), a high-risk group for coinfection. Methods We included adult (≥18 years) patients with active or prior hematologic or invasive solid malignancies and laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) infection, using data from the COVID-19 and Cancer Consortium (CCC19, NCT04354701). We captured coinfections within ±2 weeks from diagnosis of COVID-19, identified factors cross-sectionally associated with risk of coinfection, and quantified the association of coinfections with 30-day mortality. Results Among 8765 patients (hospitalized or not; median age, 65 years; 47.4% male), 16.6% developed coinfections: 12.1% bacterial, 2.1% viral, 0.9% fungal. An additional 6.4% only had clinical diagnosis of a coinfection. The adjusted risk of any coinfection was positively associated with age >50 years, male sex, cardiovascular, pulmonary, and renal comorbidities, diabetes, hematologic malignancy, multiple malignancies, Eastern Cooperative Oncology Group Performance Status, progressing cancer, recent cytotoxic chemotherapy, and baseline corticosteroids; the adjusted risk of superinfection was positively associated with tocilizumab administration. Among hospitalized patients, high neutrophil count and C-reactive protein were positively associated with bacterial coinfection risk, and high or low neutrophil count with fungal coinfection risk. Adjusted mortality rates were significantly higher among patients with bacterial (odds ratio [OR], 1.61; 95% CI, 1.33–1.95) and fungal (OR, 2.20; 95% CI, 1.28–3.76) coinfections. Conclusions Viral and fungal coinfections are infrequent among patients with cancer and COVID-19, with the latter associated with very high mortality rates. Clinical and laboratory parameters can be used to guide early empiric antimicrobial therapy, which may improve clinical outcomes.

Recommending video-assisted thoracic surgery (VATS) over open thoracotomy to patients with early-stage non-small-cell lung cancer (NSCLC) is controversial. Accordingly, we reviewed randomized comparative studies to determine the risks and benefits of VATS lobectomy. Electronic searches on PubMed with standard search terms revealed 97 comparative studies published between 1990 and 2022. Of those, only 5 were randomized controlled clinical trials (RCT) and 1 is still ongoing although initial data has been published as an abstract form. A total of 918 patients were evaluated in 5 RCT's. All studies included patients with known or suspected primary lung cancer randomized in a 1:1 ratio to VATS or thoracotomy. Between 2 studies, reports of 1-year, 3-year and 5-year overall survival were found to be similar across surgical modalities. Additionally, no differences were found in the rates of locoregional and distant recurrence. Three studies reported no statistical differences in the number of hilar and mediastinal lymph nodes sampled. Two studies found decreased length of stay following VATS (4 days v 5 days, P = 0.027 and P = 0.008), while 2 found no difference. Increased in-hospital complications were seen in 2 studies (P = 0.008 and P = 0.039). VATS was associated with decreased pain scores, better self-reported QOL at 52 weeks (P = 0.014). Few randomized clinical trials comparing VATS lobectomy to open thoracotomy and lobectomy in early stage NSCLC have been reported. These studies suggest that VATS lobectomy offers similar outcomes with decreased in-hospital complications, pain, length of stay, and improved physical functioning when compared to thoracotomy.

Lung cancer is the leading cause of cancer death in women in the United States. Prospective randomized lung screening trials suggest a greater lung cancer mortality benefit from screening women compared with men.Do the United States Preventative Services Task Force (USPSTF) lung screening guidelines that are based solely on age and smoking history contribute to sex disparities in eligibility, and if so, does the use of the PLCOm2012 risk prediction model that is based on 11 predictors of lung cancer reduce sex disparities?This retrospective analysis of 883 lung cancer cases in the Chicago Race Eligibility for Screening Cohort (CREST) determined the sensitivity of USPSTF vs PLCOm2012 eligibility criteria, stratified according to sex. For comparisons vs the USPSTF 2013 and the recently published USPSTF 2021 (released March 9, 2021) eligibility criteria, the PLCOm2012 model was used with risk thresholds of ≥ 1.7%/6 years (6y) and ≥ 1.0%/6y, respectively.The sensitivities for screening by the USPSTF 2013 were 46.7% for women and 64.6% for men (P = .003) and by the USPSTF 2021 were 56.8% and 71.8%, respectively (P = .02). In contrast, the PLCOm2012 ≥ 1.7%/6y sensitivities were 64.6% and 70.4%, and the PLCOm2012 ≥ 1.0%/6y sensitivities were 77.4% and 82.4%. The PLCOm2012 differences in sensitivity using ≥ 1.7%/6y and ≥ 1.0%/6y thresholds between women and men were nonsignificant (both, P = .07). Compared with men, women were more likely to be ineligible according to the USPSTF 2021 criteria because their smoking exposures were 20 pack-years (22.8% vs 14.8%; ORAlthough the USPSTF 2021 eligibility criteria are more sensitive than the USPSTF 2013 guidelines, sex disparities in eligibility remain. Adding the PLCOm2012 risk prediction model to the USPSTF guidelines would improve sensitivity and attenuate sex disparities.

Background and Objectives of the Study: For the past several decades, lung cancer has had amongst the highest cancer incidence and mortality rates across the world. In the United States, African American (AA) individuals carry a disproportionate share of the lung cancer burden, with higher incidence, later-stage diagnosis, and poorer 5-year overall survival rate when compared with that of Whites. However, there is yet to be a race-specific biomarker for lung cancer. Most genomic data continue to include a small proportion of AA individuals, further contributing to the racial health disparity. Thus, the goal of our study was to conduct a genome-wide analysis to identify lung cancer biomarkers specific for AA individuals, to understand the role that these biomarkers play in overall survival, and to discover how epigenetic modulations may impact outcomes by race. Methods: We utilized clinical and genomic data from The Cancer Genome Atlas (TCGA) for lung adenocarcinoma (LUAD). We conducted a differential expression analysis to identify the differentially expressed genes (DEGs) amongst AA individuals compared with Whites with LUAD. Two-tailed log rank tests with univariate and multivariate Cox proportional hazard models adjusted by age, gender, prior malignancy and stage were used to analyze overall survival for mRNA expression and DNA methylation for each racial subgroup. We investigated the epigenetic modifications that are correlated with the expression of the DEGs that play a significant role in the survival of AA individuals with lung cancer. Results: CEACAM7 was the single gene that was both differentially expressed in AA individuals compared to Whites with LUAD and that had an impact on LUAD survival. CEACAM7 RNA expression showed trend towards significant direct correlation with LUAD stage in AA individuals but not for Whites. High RNA expression of CEACAM7 was associated with shorter median survival (P Conclusion: This TCGA study suggests that the expression of CEACAM7 and its associated DNA methylation may play an important role in the survival of AA individuals with LUAD but not for Whites. Further studies are necessary to understand the mechanics of how the epigenetic regulation of CEACAM7 is associated with survival in AA individuals with LUAD and to identify new possible therapeutic targets. Citation Format: Richies Tiv, Ignacio Jusue-Torres, Apurva Mallisetty, Leglys Contreras-Vargas, Ludmila Danilova, Lawrence E. Feldman, Alicia Hulbert. CEACAM7 as epigenetic prognostic marker in African Americans with lung adenocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr LB118.

When the COVID-19 pandemic began, formal frameworks to collect data about affected patients were lacking. The COVID-19 and Cancer Consortium (CCC19) was formed to collect granular data on patients with cancer and COVID-19 at scale and as rapidly as possible. CCC19 has grown from five initial institutions to 125 institutions with >400 collaborators. More than 5,000 cases with complete baseline data have been accrued. Future directions include increased electronic health record integration for direct data ingestion, expansion to additional domestic and international sites, more intentional patient involvement, and granular analyses of still-unanswered questions related to cancer subtypes and treatments.

An understanding of the mechanism of apoptosis has received a substantial amount of interest over the past decades. It is evident from many works that mitochondria play a pivotal role in keeping cell homeostasis in both physiological and pathological conditions. The ability of mitochondria to reprogram cell metabolism is a key function to cell life and death. Therefore, recent advances in mitochondrial bioenergetics have yielded underlying knowledge for basic biology and applied biology, particularly providing crucial insights in therapeutic strategies. A detailed scenario of full apoptosis biology exceeds the scope of this current chapter and has been covered elsewhere in the book (i.e., first and third chapters). In line with this, we discuss the role of mitochondrial morphology, mitochondrial bioenergetics, and cell metabolism into the context of cellular life‐or‐death decision, addressing how the contribution made by many apoptosis pathways has deepened our understanding of human diseases, especially for cancer and neurodegenerative diseases