Age is a prognostic factor affecting survival in lung cancer patients

Survival predictors of older cancer patients in Bangladesh: A multicenter study

INTRODUCTION

The aging of the global population has led to an increased prevalence of cancer among older adults, particularly in Asia and in low- and middle-income countries. This demographic shift presents unique challenges to healthcare delivery, especially in developing countries like Bangladesh. This study aims to analyze survival outcomes and epidemiological patterns of elderly cancer patients in Bangladesh, addressing a critical knowledge gap in geriatric oncology in low- and middle-income countries METHODS: A 27-month prospective cohort study, conducted from October 2021 to January 2024 across three hospitals in Bangladesh, included 862 cancer patients aged 60 and older, 581 of whom completed the full study period. Demographic data, medical history, physical status, and treatment records were collected through questionnaires and follow-up. Survival analysis was performed using the Kaplan-Meier method and Cox proportional hazards regression models.

RESULTS

Of 581 patients with a mean age of 65.9 years, 67.47 % died during the study. Lung cancer was the most common diagnosis (43.5 %), while breast cancer patients had the highest survival rate of the cohort (56.61 %). Mortality risk slightly increased with age (HR 1.02, 95 % CI:1.01, 1.04, p = 0.04), while sex had no significant impact. Advanced stage cancer increased mortality risk (HR 1.67, 95 % CI:1.10, 2.54, p = 0.01), while adequate food intake (HR 0.47, 95 % CI:0.31, 0.72, p = 0.00), better mobility (HR 0.62, 95 % CI: 0.40, 0.94, p = 0.02), and positive health perception (HR 0.54, 95 % CI:0.38,0.75, p = 0.00), were linked to improved survival. Treatment with more than two drugs alongside platinum-based chemotherapy increased mortality (HR 2.03, 95 % CI:1.14, 3.63, p = 0.01) compared to non-platinum or oral drugs, while a history of post-diagnosis surgery was associated with reduced mortality. Comorbidities and BMI were not significant in the multivariate analysis.

CONCLUSION

The study underscores the need for comprehensive, individualized care plans for older cancer patients, considering both the type of cancer and the patient's overall health. Future research should focus on optimizing treatment strategies and care models tailored to older cancer patients in resource-limited settings.

Development of a nomogram for overall survival prediction in primary upper lobe lung cancer patients: A SEER population-based analysis

BACKGROUND

The upper lobe is the most common site of primary lung cancer, however, very few reports focus on its prognosis. This study aims to identify prognostic factors of lung cancer in the upper lobe, as well as to establish an effective nomogram for individualized overall survival (OS) prediction.

METHODS

Patients diagnosed with lung cancer were collected from the Surveillance, Epidemiology, and End Results Program (SEER) database for the period of 2010-2017,as recorder in the 2021 SEER database release. The demographic characteristics and OS differed in the primary sites of the upper, middle and lower lobes were drawn. The primary upper lobe lung cancer patients were further stratified by the risk indicators including Mets at DX-bone, stage, histology, grade and sex; and their OS differences in stratification were compared by the Kaplan-Meier method and the Log-Rank test. The univariate and the multivariate Cox regression were employed to determine the independent prognostic factors for the primary upper lobe lung cancer and to build a nomogram model for its OS prediction.

RESULTS

Depending on the different primary sites of lung cancer occurrence, all the collected patients were divided into three groups of the upper lobe (30295 individuals), the middle lobe (2801 individuals) and the lower lobe (16757 individuals), where the upper lobe group gained our attention with the largest population and an overwhelmingly low OS compared to the middle lobe group (P <0.0001). With the results of the univariate and multivariate Cox regression model analyses, age, sex, grade, histology type, stage, regional lymph nodes removed, bone metastasis and liver metastasis were selected as the prognostic factors and a prediction nomogram model was built. The calibration curves showed no significant bias from the reference line and the concordance index between the survival nomogram prediction and the actual outcome for 2-year and 3-year OS was 0.761 (95% CI, 0.757-0.765). The time-dependent receiver operating characteristic curves showed that the areas under curve for 2-year and 3-year OS were 0.840 and 0.836, respectively.

CONCLUSION

A novel nomogram was established which achieved good performance in predicting the probability of OS in the primary upper lobe lung cancer, indicating its potential value in individualized prediction of the clinical outcome in these patients.

Investigating the frequencies of EGFR mutations and EGFR single nucleotide polymorphisms genotypes and their predictive role in NSCLC patients in Republic of Serbia

BACKGROUND

Genetic factors influence non-small cell lung cancer (NSCLC) development, progression and treatment response. Epidermal growth factor receptor (EGFR) variants, particularly single nucleotide polymorphisms (SNPs), were linked to clinical outcomes in NSCLC. The general objective of this study was to examine frequencies of -191 C/A and - 216G/T EGFR SNPs, EGFR mutation profiles and their associations among gender, age, and smoking status.

PATIENTS AND METHODS

A cohort of 211 NSCLC patients (131 males and 80 females) from the Republic of Serbia was analyzed. PCR-RFLP genotyping was used for EGFR SNPs, and real-time PCR for detection of EGFR mutations. Cramér's V statistic, Chi-square tests, and binary logistic regression, were employed to explore the associations between EGFR SNPs, EGFR mutation status, and demographic factors. Data were analyzed using SPSS-27 software (SPSS, Inc.) and R software (version 4.3.2).

RESULTS

Statistical significance with moderate associations was found between smoking status and EGFR mutation status. A significant correlation was also observed between smoking and the - 216GG genotype (p = 0.016). Notably, male smokers with EGFR wild-type status and female non-smokers with EGFR mutations showed the highest frequencies of the - 216GG genotype. Binary logistic regression confirmed that the - 216G/T (p = 0.049) and smoking status (p ≤ 0.001) were significantly associated with the presence of EGFR mutations in females.

CONCLUSION

The - 216G/T SNP and smoking status may serve as potential predictors for EGFR mutation status in NSCLC patients. Further studies are warranted to confirm these associations and assess their implications for personalized treatment approach.

Spine Stereotactic Body Radiation Therapy in Geriatric Patients: Implications of Age and Dose on Iatrogenic Vertebral Compression Fracture Risk

PURPOSE

Stereotactic body radiation therapy (SBRT) is an effective treatment for spinal metastases; however, outcomes specific to a geriatric population have not been described. This study aims to investigate the efficacy and safety of spine SBRT, in particular the rate of iatrogenic vertebral compression fracture (VCF), in patients aged 70 and older.

PATIENTS AND METHODS

From a prospectively maintained single-institutional database of 976 patients and 2407 spinal segments treated with SBRT for vertebral metastases between 2008 and 2021, all patients aged 70 or above were retrospectively reviewed. The primary outcome is the risk of VCF. Secondary outcomes included magnetic resonance imaging-based local failure and overall survival.

RESULTS

A total of 252 consecutive patients with 580 spinal segments treated with spine SBRT were reviewed. The median age was 75.8 (range: 70-90.3) years and the median (interquartile range) follow-up duration was 16.9 (6.4-41.3) months. The median overall survival of the entire cohort was 20.3 months and the 2-year local failure rate was 14.3%. The cumulative risk of VCF at 12 and 24 months were 8.4% and 12.3%, respectively. Significant predictors of VCF on multivariable analyses included greater biologically equivalent dose, baseline fracture, and increasing age. In particular, the 2-year VCF rate and median time to VCF were 30.3% and 3.4 months for those 86 and older, compared with 11.2% and 12.8 months for those younger than 86, respectively (P = .0011).

CONCLUSION AND RELEVANCE

Spine SBRT should be considered in a geriatric population; however, for those 86 and older, we suggest caution due to the significant risk of VCF.

Efficacy and safety of stereotactic body radiation therapy in elderly patients with cirrhosis and large advanced hepatocellular carcinoma

OBJECTIVE

To evaluate the safety and efficacy of stereotactic body radiation therapy (SBRT) for 70 years or older patients with advanced hepatocellular carcinoma (aHCC).

MATERIALS AND METHODS

This observational retrospective study was done between May 2020 and March 2023. The data of 24 elderly patients with aHCC treated with SBRT were collected from the hospital electronic records. Patients with Child-Turcotte-Pugh status (CTP) A5 to B8 and a functional liver reserve of ≥700cc were included. Local control, overall survival (OS), progression-free survival (PFS), and postprocedure adverse events were recorded.

RESULTS

The median follow-up period of the study cohort was 13 months (range: 3-36 months). The median age was 75 years (range: 70-84 years) with CTP A (70.8%) and CTP B (29.2%). NASH was the most common etiology (n = 15, 62.5%). The median tumor diameter was 8.5 cm (range, 5-16). Portal vein and IVC tumor thrombosis were seen in 21 (87.5%) and 4 (16.67%) patients. The median SBRT dose to gross tumor of 35 Gy (range 25-40 Gy) is delivered in five fractions. Though the median AFP level was reduced from 136.5 (range 3.7-27533) to 34.5 (range 3-4964) ng/ml, the difference was not significant. The median PIVKA II level was significantly decreased from 2702 (range 23.8-385454) to 189 (range 15-56262) mAU/ml, P = 0.05. The estimated local control rates at 12 and 18 months were 90% and 62%, respectively. The 1-year estimated OS and PFS rates were 58% and 42%, respectively. The mOS and mPFS were 14 months (95% CI, 8.5-19.4) and 9 months (95% CI, 5.5-12.4), respectively. On multivariate analysis, baseline geriatric 8 (G8) score ≤9 and CTP B were the predictors of poor OS. SBRT was found to be generally safe in patients with geriatric 8 score >9 with postprocedure decompensation (increased CTP score by 2 points) in only one (4.16%) patient.

CONCLUSION

SBRT is a safe and effective locoregional therapy in elderly subjects with cirrhosis and locally advanced HCC. In elderly patients, with limited transplant and other therapeutic options, SBRT is safe and provides improved local disease control, OS, and PFS.

Burdens of Tracheal, Bronchus, and Lung Cancer From 1990 to 2021 in China Compared to the Global Projection of 2036: Findings From the 2021 Global Burden of Disease Study

BACKGROUND

Tracheal, bronchial, and lung cancers (TBL cancers) pose a significant global health challenge, with rising incidence and mortality rates, particularly in China. Studies from the Global Burden of Disease (GBD), 2021, can guide screening and prevention strategies for TBL cancer. This study aims to provide a comprehensive analysis of the burden of TBL cancers in China compared to global data.

METHODS

We conducted an analysis of incidence, prevalence, mortality, and disability-adjusted life years (DALYs) from 1990 to 2021. We also performed Joinpoint regression analysis and Bayesian age-period-cohort (BAPC) modeling to project future trends.

RESULTS

From 1990 to 2021, there was a substantial increase in TBL cancer indicators for all sexes in China, with the most significant rise observed in females. The female population showed alarming increases in age-standardized incidence rate (ASIR) and age-standardized prevalence rate (ASPR). While global efforts have managed to stabilize these rates, China's figures remain high, suggesting the impact of persistent risk factors such as smoking and air pollution, coupled with an aging population. Furthermore, we utilized the projection model in China to estimate that these indicators of TBL cancers in females will likely follow continuous and rapid upward trends, while the burden of TBL cancers among males is expected to have a steady trend.

CONCLUSION

Although global efforts have been effective in reducing the burden of TBL cancers over the past three decades, there still remains strong regional and gender heterogeneity. TBL cancers need more screening strategies and medical attention in China and in the female population.

ImmunoChemoradiation for Non-Small Cell Lung Cancer: A Meta-Analysis of Factors Influencing Survival Benefit in Combination Trials

PURPOSE

Adding immune checkpoint blockade (ICB) to concurrent chemoradiotherapy (cCRT) has improved overall survival (OS) for inoperable locally advanced non-small cell lung cancer. Trials of cCRT-ICB are heterogeneous for factors such as tumor stage and histology, programmed cell death ligand-1 (PDL-1) status, and cCRT-ICB schedules. We therefore aimed to determine the ICB contribution to survival across studies and identify factors associated with survival gain.

METHODS AND MATERIALS

Data were collated from cCRT-ICB clinical studies published 2018 to 2022 that treated 2196 patients with non-small cell lung cancer (99% stage 3). Associations between 2-year OS and ICB, CRT, patient and tumor factors were investigated using metaregression. A published model of survival after radiation therapy (RT) or CRT was extended to include ICB effects. The model was fitted simultaneously to the cCRT-ICB data and data previously compiled for RT/CRT treatments alone. The net ICB contribution (OS gain) and its associations with factors were described by fitted values of ICB terms added to the model. Statistical significance was determined by likelihood-ratio testing.

RESULTS

The gain in 2-year OS from ICB was 9.9% overall (95% CI, 7.6%, 12.2%; P = .018). Both OS gain and 2-year OS itself rose with increasing planned ICB duration (P = .008, .002, respectively) and with tumor PDL-1 ≥ 1% (P = .034, .023). Fitted OS gains were also greater for patients with stage 3B/C disease (P = .021). OS gain was not associated with tumor histology, patient performance status, radiation therapy dose, ICB drug type (anti-PDL-1 vs anti-programmed cell death-1), or whether ICB began concurrently with or after cCRT.

CONCLUSIONS

Fitted gains in 2-year OS due to ICB were higher in cohorts with greater fractions of stage 3B/C patients and patients with tumor PDL-1 ≥ 1%. OS gain was also significantly higher in a single cohort with a planned ICB duration of 2 years rather than 1, but was not associated with whether ICB treatment began during versus after CRT.

Patient- and Areal-Level Risk Factors Associated With Lung Cancer Mortality in Victoria, Australia: A Bayesian Spatial Survival Analysis

BACKGROUND

In Australia, lung cancer is the leading cause of cancer-related deaths. In Victoria, the mortality risk is assumed to vary across Local Government Areas (LGAs) due to variations in socioeconomic advantage, remoteness, and healthcare accessibility. Thus, we applied Bayesian spatial survival models to examine the geographic variation in lung cancer survival in Victoria.

METHODS

Data on lung cancer cases were extracted from the Victorian Lung Cancer Registry (VLCR). To account for spatial dependence and risk factors of survival in lung cancer patients, we employed a Bayesian spatial survival model. Conditional Autoregressive (CAR) prior was assigned to model the spatial dependence. Deviance Information Criterion (DIC), Watanabe Akaike Information Criterion (WAIC), and Log Pseudo Marginal Likelihood (LPML) were used for model comparison. In the final best-fitted model, the Adjusted Hazard Ratio (AHR) with the 95% Credible Interval (CrI) was reported. The outcome variable was the survival status of lung cancer patients, defined as whether they survived or died during the follow-up period (death was our interest).

RESULTS

Our study revealed substantial variations in lung cancer mortality in Victoria. Poor Eastern Cooperative Oncology Group (ECOG) performance status, diagnosed at a regional hospital, Small Cell Lung Cancer (SCLC), advanced age, and advanced clinical stage were associated with a higher risk of mortality, whereas being female, presented at Multidisciplinary Team (MDT) meeting, and diagnosed at a metropolitan private hospital were significantly associated with a lower risk of mortality.

CONCLUSION

Identifying geographical disparities in lung cancer survival may help shape healthcare policy to implement more targeted and effective lung cancer care services.

Nomogram predicting overall and cancer specific prognosis for poorly differentiated lung adenocarcinoma after resection based on SEER cohort analysis

The prognosis of poorly differentiated lung adenocarcinoma (PDLA) is determined by many clinicopathological factors. The aim of this study is identifying prognostic factors and developing reliable nomogram to predict the overall survival (OS) and cancer-specific survival (CSS) in patients with PDLA. Patient data from the Surveillance, Epidemiology and End Results (SEER) database was collected and analyzed. The SEER database was used to screen 1059 eligible patients as the study cohort. The whole cohort was randomly divided into a training cohort (n = 530) and a test cohort (n = 529). Cox proportional hazards analysis was used to identify variables and construct a nomogram based on the training cohort. C-index and calibration curves were performed to evaluate the performance of the model in the training cohort and test cohorts. For patients with PDLA, age at diagnosis, gender, tumor size were independent prognostic factors both for overall survival (OS) and cancer-specific survival (CSS), while race and number of nodes were specifically related to OS. The calibration curves presented excellent consistency between the actual and nomogram-predict survival probabilities in the training and test cohorts. The C-index values of the nomogram were 0.700 and 0.730 for OS and CSS, respectively. The novel nomogram provides new insights of the risk of each prognostic factor and can assist doctors in predicting the 1-year, 3-year and 5-year OS and CSS in patients with PDLA.

Sex Difference in Disease-Related Adverse Events Post-Diagnosis of Lung Cancer Brain Metastases in Medicare Individuals ≥ 66 Years of Age

Sex differences are evident in adverse events (AEs) related to brain tumors, yet sex differences in AEs specific to brain metastases (BrMs) are underexplored. Lung cancer BrMs dominate among BrM, comprising over half of cases. This study examined sex differences in AEs associated with lung cancer BrMs in individuals aged 66 or older using the SEER-Medicare dataset. Multivariable logistic regression, adjusted for demographic factors and comorbidities, stratified by histological subtype, treatment, age, and year of diagnosis were used to analyze AEs among those with BrMs from primary lung tumors. Year of diagnosis was grouped into prior/post-2013, to account for shifts in treatment paradigms. The results showed nuanced sex-specific AEs. Females diagnosed post-2013 with small-cell, squamous-cell, or other non-small-cell carcinoma BrMs had a higher headache likelihood than males. Males with adenocarcinoma post-2013 were more likely to experience brain herniation. Females aged 76 and older with small-cell BrM exhibited increased vision difficulty risk compared to males of the same age, with no significant difference in other age groups. Males treated for adenocarcinoma faced heightened hemorrhagic stroke risk. This study reveals sex-specific disparities in AEs among older individuals with lung cancer BrMs, varying by histological subtype, age, diagnosis year, and treatment.

Insights into treatment-specific prognostic somatic mutations in NSCLC from the AACR NSCLC GENIE BPC cohort analysis

BACKGROUND

Treatment of non-small lung cancer (NSCLC) has evolved in recent years, benefiting from advances in immunotherapy and targeted therapy. However, limited biomarkers exist to assist clinicians and patients in selecting the most effective, personalized treatment strategies. Targeted next-generation sequencing-based genomic profiling has become routine in cancer treatment and generated crucial clinicogenomic data over the last decade. This has made the development of mutational biomarkers for drug response possible.

METHODS

To investigate the association between a patient's responses to a specific somatic mutation treatment, we analyzed the NSCLC GENIE BPC cohort, which includes 2,004 tumor samples from 1,846 patients.

RESULTS

We identified somatic mutation signatures associated with response to immunotherapy and chemotherapy, including carboplatin-, cisplatin-, pemetrexed- or docetaxel-based chemotherapy. The prediction power of the chemotherapy-associated signature was significantly affected by epidermal growth factor receptor (EGFR) mutation status. Therefore, we developed an EGFR wild-type-specific mutation signature for chemotherapy selection.

CONCLUSION

Our treatment-specific gene signatures will assist clinicians and patients in selecting from multiple treatment options.

Age at lung cancer diagnosis in females versus males who never smoke by race and ethnicity

BACKGROUND

We characterized age at diagnosis and estimated sex differences for lung cancer and its histological subtypes among individuals who never smoke.

METHODS

We analyzed the distribution of age at lung cancer diagnosis in 33,793 individuals across 8 cohort studies and two national registries from East Asia, the United States (US) and the United Kingdom (UK). Student's t-tests were used to assess the study population differences (Δ years) in age at diagnosis comparing females and males who never smoke across subgroups defined by race/ethnicity, geographic location, and histological subtypes.

RESULTS

We found that among Chinese individuals diagnosed with lung cancer who never smoke, females were diagnosed with lung cancer younger than males in the Taiwan Cancer Registry (n = 29,832) (Δ years = -2.2 (95% confidence interval (CI):-2.5, -1.9), in Shanghai (n = 1049) (Δ years = -1.6 (95% CI:-2.9, -0.3), and in Sutter Health and Kaiser Permanente Hawai'i in the US (n = 82) (Δ years = -11.3 (95% CI: -17.7, -4.9). While there was a suggestion of similar patterns in African American and non-Hispanic White individuals. the estimated differences were not consistent across studies and were not statistically significant.

CONCLUSIONS

We found evidence of sex differences for age at lung cancer diagnosis among individuals who never smoke.

Distinguishing optimal candidates for primary tumor resection in patients with metastatic lung adenocarcinoma: A predictive model based on propensity score matching

Background

Primary tumor resection is associated with survival benefits in patients with metastatic lung adenocarcinoma (mLUAD). However, there are no established methods to determine which individuals would benefit from surgery. Therefore, we developed a model to predict the patients who are likely to benefit from surgery in terms of survival.

Methods

Data on patients with mLUAD were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Depending on whether surgery was performed on the primary tumor, patients were categorized into two groups: cancer-directed surgery (CDS) and no-cancer-directed surgery (No-CDS). Propensity Score Matching (PSM) was utilized to address bias between the CDS and No-CDS groups. The prognostic impact of CDS was assessed using Kaplan-Meier analysis and Cox proportional hazard models. Subsequently, we constructed a nomogram to predict the potential for surgical benefits based on multivariable logistic regression analysis using preoperative factors.

Results

A total of 89,039 eligible patients were identified, including 6.4% (5705) who underwent surgery. Following PSM, the CDS group demonstrated a significantly longer median overall survival (mOS) compared with the No-CDS group (23 [21-25] vs. 7 [7-8] months; P < 0.001). The nomogram showed robust performance in both the training and validation sets (area under the curve [AUC]: 0.698 and 0.717, respectively), and the calibration curves exhibited high consistency. The nomogram proved clinically valuable according to decision curve analysis (DCA). According to this nomogram, surgical patients were categorized into two groups: no-benefit candidates and benefit candidates groups. Compared with the no-benefit candidate group, the benefit candidate group was associated with longer survival (mOS: 25 vs. 6 months, P < 0.001). Furthermore, no difference in survival was observed between the no-benefit candidates and the no-surgery groups (mOS: 6 vs. 7 months, P = 0.9).

Conclusions

A practical nomogram was developed to identify optimal CDS candidates among patients with mLUAD.

Lung cancer outcomes in the elderly: potential disparity in screening

OBJECTIVES

The aim of this study was to analyse outcomes of lung cancer in the elderly.

METHODS

A retrospective analysis was performed of patients in the National Cancer Database with NSCLC from 2004 to 2017 grouped into 2 categories: 70-79 years (A) and 80-90 years (B). Patients with multiple malignancies were excluded. Kaplan-Meier curves estimated the overall survival for each age group based on stage.

RESULTS

In total, 466 051 patients were included. Less-invasive techniques (imaging and cytology) diagnosed cancer as a function of age: 14.6% in A vs 21.3% in B [P < 0.001, standardized mean difference (SMD) 0.175]. Clinical stage IA was least common in B (15%) compared to 17.3% in A (P < 0.001, SMD 0.079). Approximately 83.0% in B did not receive surgery compared to 70.0% in A (P < 0.001, SMD 0.299). Of the 83.0%, 8.0% were considered poor surgical candidates because of age or comorbidities compared with 6.2% in A (P < 0.001, SMD 0.299) For 71.0% in B, surgery was not the first treatment plan compared to 62.0% in A (P < 0.001, SMD 0.299). Survival curves showed worse prognosis for each clinical and pathologic stage for B compared to A.

CONCLUSIONS

Patients older than 80 years present less frequently as clinical stage IA, are less commonly offered surgical intervention and are more frequently diagnosed using less accurate measures. They also have worse outcomes for each stage compared to younger patients.

Cell-Free DNA 5-Hydroxymethylcytosine Signatures for Lung Cancer Prognosis

Accurate prognostic markers are essential for guiding effective lung cancer treatment strategies. The level of 5-hydroxymethylcytosine (5hmC) in tissue is independently associated with overall survival (OS) in lung cancer patients. We explored the prognostic value of cell-free DNA (cfDNA) 5hmC through genome-wide analysis of 5hmC in plasma samples from 97 lung cancer patients. In both training and validation sets, we discovered a cfDNA 5hmC signature significantly associated with OS in lung cancer patients. We built a 5hmC prognostic model and calculated the weighted predictive scores (wp-score) for each sample. Low wp-scores were significantly associated with longer OS compared to high wp-scores in the training [median 22.9 versus 8.2 months; p = 1.30 × 10-10; hazard ratio (HR) 0.04; 95% confidence interval (CI), 0.00-0.16] and validation (median 18.8 versus 5.2 months; p = 0.00059; HR 0.22; 95% CI: 0.09-0.57) sets. The 5hmC signature independently predicted prognosis and outperformed age, sex, smoking, and TNM stage for predicting lung cancer outcomes. Our findings reveal critical genes and signaling pathways with aberrant 5hmC levels, enhancing our understanding of lung cancer pathophysiology. The study underscores the potential of cfDNA 5hmC as a superior prognostic tool for guiding more personalized therapeutic strategies for lung cancer patients.

Factors associated with survival of patients with advanced lung cancer and long travel distances

BACKGROUND/PURPOSE

Patients with advanced cancer sometimes travel to locations that have the treatment that they need. We explored the prognostic factors of survival in patients with advanced lung cancer who travel long distances in Taiwan.

METHODS

We obtained data from the National Taiwan University Hospital (NTUH) Integrated Medical Database. Patients who received a diagnosis of stage IV lung cancer from 2010 to 2019 and were treated in NTUH and its Hsinchu and Yunlin branches were enrolled. Factors associated with survival were analyzed using a Cox hazard regression model.

RESULTS

In total, 6178 patients with stage IV lung cancer were enrolled. Young age, female sex, smaller primary tumor size, better performance, and non-squamous cell non-small cell histology were independently associated with longer survival. Treatment in medical centers and long travel distances (>50 km) were associated with longer survival in the univariate analysis but not in the multivariate analysis (hazard ratio [HR]: 1.04, p = 0.361; HR: 0.99, p = 0.775, respectively). Participation in clinical trials was associated with longer survival in the univariate (HR: 0.53, p < 0.001) and multivariate analyses (HR: 0.62, p < 0.001). For the 1144 patients in the Hsinchu area, enrolment in clinical trials was an independent prognostic factor (HR: 0.72, p = 0.040), whereas treatment in medical centers was not (HR: 0.95, p = 0.635).

CONCLUSION

Long travel distances and treatment in medical centers were not independently associated with survival for patients with advanced lung cancer. Enrolment in clinical trials was an independent prognostic factor.

Integrated Bulk and Single-cell RNA Sequencing Data Constructs and Validates a Prognostic Model for Non-small Cell Lung Cancer

Background: Most of the current research on prognostic model construction for non-small cell lung cancer (NSCLC) only involves in bulk RNA-seq data without integration of single-cell RNA-seq (scRNA-seq) data. Besides, most of the prognostic models are constructed by predictive genes, ignoring other predictive variables such as clinical features. Methods: We obtained scRNA-seq data from GEO database and bulk RNA-seq data from TCGA database. We construct a prognostic model through the Least Absolute Shrinkage and Selection Operator (LASSO) and Cox regression. Furthermore, we performed ESTIMATE, CIBERSORT, immune checkpoint-related analyses and compared drug sensitivity using pRRophetic method judged by IC50 between different risk groups. Results: 14 tumor-related genes were extracted for model construction. The AUC for 1-, 3-, and 5 years overall survival prediction in TCGA and three validation cohorts were almost higher than 0.65, some of which were even higher than 0.7, even 0.8. Besides, calibration curves suggested no departure between model prediction and perfect fit. Additionally, immune-related and drug sensitivity results revealed potential targets and strategies for treatment, which can provide clinical guidance. Conclusion: We integrated traditional bulk RNA-seq and scRNA-seq data, along with predictive clinical features to develop a prognostic model for patients with NSCLC. According to the constructed model, patients in different groups can follow precise and individual therapeutic schedules based on immune characteristics as well as drug sensitivity.

Development and validation of a nomogram for predicting overall survival in patients with stage III-N2 lung adenocarcinoma based on the SEER database

Background

There is variability in the prognosis of stage III-N2 lung adenocarcinoma (LUAD) patients. The current tumor-node-metastasis (TNM) staging is not sufficient to precisely estimate the prognosis of stage III-N2 LUAD patients. The Surveillance, Epidemiology, and End Results (SEER) database collected first-hand information from a large number of LUAD patients. Based on the SEER database, this study aimed to determine the prognostic factors that affect overall survival (OS) in stage III-N2 LUAD patients and then establish a nomogram for predicting OS in this type of cancer to identify the high-risk population that may require more frequent surveillance or intensive care.

Methods

Data for 1,844 stage III-N2 primary LUAD patients who were registered between 2010 and 2015 were obtained from the SEER database. These patients were randomly assigned to either training (n=1,290) or validation (n=554) cohorts at a 7:3 ratio. The univariate and multivariate Cox regression (UCR and MCR) analyses were performed to find the relevant independent prognostic factors. To predict the OS based on these prognostic factors, a nomogram was then developed. The performance of the nomogram was examined based on the calibration curves, and receiver operating characteristic (ROC) curves. The ability of nomogram to stratify patient risk was validated by Kaplan-Meier survival analysis.

Results

Age, gender, tumor location, T-stage and treatment modality (chemotherapy, radiation therapy, surgery and scope of lymph node dissection) of stage III-N2 LUAD patients were significantly associated with prognosis. The area under the curve (AUC) values of OS predicted by the nomogram constructed with these factors at 12-, 36- and 60-month were 0.784, 0.762 and 0.763 in the training cohort, whereas 0.707, 0.685 and 0.705 in the validation cohort, respectively. Additionally, calibration curves demonstrated concordance between predicted and observed outcomes. Nomogram risk stratification provides a meaningful distinction between patients with various survival risks.

Conclusions

A survival prediction model that may be useful for risk stratification and decision-making is developed and validated for stage III-N2 LUAD patients. A high-risk patient predicted by the prediction model may require more frequent surveillance or intensive care.

Prognostic factors and predictive nomogram models for early death in elderly patients with hepatocellular carcinoma: a population-based study

Background: Owing to an aging society, there has been an observed increase in the average age of patients diagnosed with hepatocellular carcinoma (HCC). Consequently, this study is centered on identifying the prognostic factors linked with early death among this elderly demographic diagnosed with HCC. Additionally, our focus extends to developing nomograms capable of predicting such outcomes. Methods: The Surveillance, Epidemiology and End Results (SEER) database underpinned this study, showcasing participants aged 75 and above diagnosed with HCC within the timeframe from 2010 to 2015. These participants were divided randomly, at a 7:3 ratio, into training and validation cohorts. Univariable and multivariable logistic regressions were applied to the training cohort in the identification of prognostic indicators of early death, forming the basis for nomogram development. To measure the efficacy of these nomograms within both cohorts, we resorted to Receiver Operating Characteristic (ROC) curves, along with GiViTI calibration belt and Decision Curve Analysis (DCA). Results: The study involved 1,163 elderly individuals diagnosed with HCC, having reported instances of 397 all-cause early deaths and 356 HCC-specific early deaths. The sample group was divided into two cohorts: a training group consisting of 815 individuals, and a validation cohort, comprised of 348 individuals. Multifactorial analysis identified grade, T-stage, surgery, radiation, chemotherapy, bone and lung metastasis as significant predictors of mortality from all causes. Meanwhile, race, grade, T-stage, surgery, radiation, chemotherapy, and bone metastasis were revealed to be estimative factors for cancer-specific mortality. Subsequently, these factors were used to develop nomograms for prediction. GiViTI calibration belt corroborated the acceptable coherence of the nomograms, DCA confirmed their valuable clinical applicability, and ROC curves evidenced satisfactory discriminative capacity within both training and validation cohorts. Conclusion: The nomograms utilized in this study proved instrumental in detecting early death among elderly individuals afflicted with HCC. This tool could potentially assist physicians in formulating individualized treatment strategies.

Metastatic non-small-cell lung cancer without driver mutations: projections by therapy line in Western Europe, 2021-2026

Aim: To estimate the incidence, prevalence and treated prevalence by line of therapy (LOT) for non-small-cell lung cancer (NSCLC) patients without driver mutations from 2021 to 2026. Materials & methods: Country-specific registry data for Western Europe were used to project incidence and prevalence of NSCLC; LOT information was obtained from CancerMPact® Treatment Architecture physician surveys. Results: Incidence, prevalence and treated prevalence across LOTs for NSCLC are projected to increase across five WE countries, including for stage IV patients without driver mutations (184,966 cases [2021] to 197,925 [2026]). Pembrolizumab monotherapy is utilized by ∼50% of NSCLC patients with programmed death-ligand 1 expression ≥50%. Conclusion: Improved treatment options for NSCLC patients without known driver mutations are important for combating the projected increase in prevalence.

Genome instability-derived genes as a novel prognostic signature for lung adenocarcinoma

Background: An increasing number of patients are being diagnosed with lung adenocarcinoma, but there remains limited progress in enhancing prognostic outcomes and improving survival rates for these patients. Genome instability is considered a contributing factor, as it enables other hallmarks of cancer to acquire functional capabilities, thus allowing cancer cells to survive, proliferate, and disseminate. Despite the importance of genome instability in cancer development, few studies have explored the prognostic signature associated with genome instability for lung adenocarcinoma. Methods: In the study, we randomly divided 397 lung adenocarcinoma patients from The Cancer Genome Atlas database into a training group (n = 199) and a testing group (n = 198). By calculating the cumulative counts of genomic alterations for each patient in the training group, we distinguished the top 25% and bottom 25% of patients. We then compared their gene expressions to identify genome instability-related genes. Next, we used univariate and multivariate Cox regression analyses to identify the prognostic signature. We also performed the Kaplan-Meier survival analysis and the log-rank test to evaluate the performance of the identified prognostic signature. The performance of the signature was further validated in the testing group, in The Cancer Genome Atlas dataset, and in external datasets. We also conducted a time-dependent receiver operating characteristic analysis to compare our signature with established prognostic signatures to demonstrate its potential clinical value. Results: We identified GULPsig, which includes IGF2BP1, IGF2BP3, SMC1B, CLDN6, and LY6K, as a prognostic signature for lung adenocarcinoma patients from 42 genome instability-related genes. Based on the risk score of the risk model with GULPsig, we successfully stratified the patients into high- and low-risk groups according to the results of the Kaplan-Meier survival analysis and the log-rank test. We further validated the performance of GULPsig as an independent prognostic signature and observed that it outperformed established prognostic signatures. Conclusion: We provided new insights to explore the clinical application of genome instability and identified GULPsig as a potential prognostic signature for lung adenocarcinoma patients.

Envonalkib versus crizotinib for treatment-naive ALK-positive non-small cell lung cancer: a randomized, multicenter, open-label, phase III trial

Anaplastic lymphoma kinase (ALK) rearrangements are present in about 5-6% of non-small cell lung cancer (NSCLC) cases and associated with increased risks of central nervous system (CNS) involvement. Envonalkib, a novel ALK inhibitor, demonstrated promising anti-tumor activity and safety in advanced ALK-positive NSCLC in the first-in-human phase I study. This phase III trial (ClinicalTrials.gov NCT04009317) investigated the efficacy and safety of first-line envonalkib in advanced ALK-positive NSCLC cases. Totally 264 participants were randomized 1:1 to receive envonalkib (n = 131) or crizotinib (n = 133). Median independent review committee (IRC)-assessed progression-free survival (PFS) times were 24.87 (95% confidence interval [CI]: 15.64-30.36) and 11.60 (95% CI: 8.28-13.73) months in the envonalkib and crizotinib groups, respectively (hazard ratio [HR] = 0.47, 95% CI: 0.34-0.64, p < 0.0001). IRC-assessed confirmed objective response rate (ORR) was higher (81.68% vs. 70.68%, p = 0.056) and duration of response was longer (median, 25.79 [95% CI, 16.53-29.47] vs. 11.14 [95% CI, 9.23-16.59] months, p = 0.0003) in the envonalkib group compared with the crizotinib group. In participants with baseline brain target lesions, IRC-assessed CNS-ORR was improved with envonalkib compared with crizotinib (78.95% vs. 23.81%). Overall survival (OS) data were immature, and median OS was not reached in either group (HR = 0.84, 95% CI: 0.48-1.47, p = 0.5741). The 12-month OS rates were 90.6% (95% CI, 84.0%-94.5%) and 89.4% (95% CI, 82.8%-93.6%) in the envonalkib and crizotinib groups, respectively. Grade ≥3 treatment-related adverse events were observed in 55.73% and 42.86% of participants in the envonalkib and crizotinib groups, respectively. Envonalkib significantly improved PFS and delayed brain metastasis progression in advanced ALK-positive NSCLC.

The Prognostic Significance of KIAA1522 Expression in Non-Small-Cell Lung Cancer Patients

The majority of lung cancers belong to the non-small-cell lung cancer (NSCLC) category, which is linked to a high mortality rate despite significant progress in diagnosis and treatment. Therefore, there is a need for novel prognostic NSCLC biomarkers to improve prognosis which currently remains poor. Recent studies and analyses of gene expression data of NSCLC revealed that high expression of KIAA1522 was significantly associated with poor prognosis and decreased overall survival. We identified 98 patients who underwent radical curative surgical resections or metastasectomy for pulmonary adenocarcinoma and squamous cell carcinoma at our institution or the pathological diagnosis confirmed by our pathologists. Following the latest data, we utilized immunohistochemistry to assess the expression of KIAA1522 and investigated its association with various clinic-demographic parameters, pathological stages, recurrence rates, overall survival, and disease-free survival in patients who achieved complete remission. Notably, there were no significant differences in the expression profiles of KIAA1522 between adenocarcinoma and squamous cell carcinoma samples (p=0.6). Survival analysis was conducted using log-rank tests and a multivariate Cox proportional hazard model. Of the 98 samples, 54 (55.1%) exhibited high expression of KIAA1522, and patients with high KIAA1522 expression had a significantly shorter overall survival than the low-expression group (p=0.01). Multivariate Cox proportional hazard models in which metastatic patients were included revealed that along with older age, higher TNM stage (tumor, node, metastasis system), and Eastern Cooperative Oncology Group (ECOG) performance status, high expression of KIAA1522 served as an independent prognostic factor. A high expression profile was not significantly associated with relapses in those whose complete remission had been achieved. Still, those patients with high expression of KIAA1522 tended to exhibit a shorter disease-free survival rate. In conclusion, our findings suggest that KIAA1522 expression is an independent factor for predicting overall survival and may serve as a valuable prognostic indicator for relapse and disease-free survival in NSCLC patients.

Survival Analysis of Lung Cancer patients in Brunei Darussalam

BACKGROUND

Cancer has been the most common cause of deaths in Brunei Darussalam including lung cancer as one of the top killers. This study presents the survival analysis of primary lung cancer patients in Brunei Darussalam.

METHODS

This is a retrospective cohort study of a 15-year period (2002-2016) involving 797 primary lung cancer cases. De-identified data extracted from Brunei Darussalam Cancer Registry was analyzed using Kaplan-Meier method and log-rank test. Bonferroni corrections were performed.

RESULTS

6 months, 1-year, 3-year, 5-year survival rates of lung cancer patients were 62.2%, 51.0%, 38.0% and 34.7% respectively. The median survival time was 12.4 months (95% Cl: 9.2, 15.7). Patients diagnosed 2002-2006 had significant longer survival than patients diagnosed 2007-2011 (p=0.039) and those diagnosed 2011-2016 (p<0.001). Survival time of patients diagnosed 2007-2011 was significantly longer than patients diagnosed 2012-2016 (p=0.049). Patients with localised disease had significantly longer survival time than patients with regional involvement (p<0.001) and distal site involvement (p<0.001). Patients with distal disease had significantly poorer survival rate than patients with regional involvement (p<0.001). Patients aged 50 or above had significantly shorter survival time than patients diagnosed at age 40-49 (p=0.003). There was no significant difference between survival time of other demographic characteristics.

CONCLUSIONS

The median survival time for lung cancer patients in this study was 12.4 months. Early diagnosis, early stage of cancer, and younger age were associated with longer survival time among lung cancer patients in Brunei Darussalam.

Effect of high-level PM2.5 on survival in lung cancer: a multicenter cohort study from Hebei Province, China

Globally, air pollution is the fourth leading risk factor for death, while lung cancer (LC) is the leading cause of cancer-related death. The aim of this study was to explore the prognostic factors of LC and the influence of high fine particulate matter (PM2.5) on LC survival. Data on LC patients were collected from 133 hospitals across 11 cities in Hebei Province from 2010 to 2015, and survival status was followed up until 2019. The personal PM2.5 exposure concentration (μg/m3) was matched according to the patient's registered address, calculated from a 5-year average for every patient, and stratified into quartiles. The Kaplan-Meier method was used to estimate overall survival (OS), and Cox's proportional hazard regression model was used to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The 1-, 3-, and 5-year OS rates of the 6429 patients were 62.9%, 33.2%, and 15.2%, respectively. Advanced age (75 years or older: HR = 2.34, 95% CI: 1.25-4.38), subsite at overlapping (HR = 4.35, 95% CI: 1.70-11.1), poor/undifferentiated differentiation (HR = 1.71, 95% CI: 1.13-2.58), and advanced stages (stage III: HR = 2.53, 95% CI: 1.60-4.00; stage IV: HR = 4.00, 95% CI: 2.63-6.09) were risk factors for survival, while receiving surgical treatment was a protective factor (HR = 0.60, 95% CI: 0.44-0.83). Patients exposed to light pollution had the lowest risk of death with a 26-month median survival time. The risk of death in LC patients was greatest at PM2.5 concentrations of 98.7-108.9 μg/m3, especially for patients at advanced stage (HR = 1.43, 95% CI: 1.29-1.60). Our study indicates that the survival of LC is severely affected by relatively high levels of PM2.5 pollution, especially in those with advanced-stage cancer.

Cardiovascular, respiratory and all-cause (natural) health endpoint estimation using a spatial approach in Malaysia

In 2016, the World Health Organization (WHO) estimated that approximately 4.2 million premature deaths worldwide were attributable to exposure to particulate matter 2.5 μm (PM_2.5). This study assessed the environmental burden of disease attributable to PM_2.5 at the national level in Malaysia. We estimated the population-weighted exposure level (PWEL) of PM10 concentrations in Malaysia for 2000, 2008, and 2013 using aerosol optical density (AOD) data from publicly available remote sensing satellite data (MODIS Terra). The PWEL was then converted to PM_2.5 using Malaysia's WHO ambient air conversion factor. We used AirQ+ 2.0 software to calculate all-cause (natural), ischemic heart disease (IHD), stroke, chronic obstructive pulmonary disease (COPD), lung cancer (LC), and acute lower respiratory infection (ALRI) excess deaths from the National Burden of Disease data for 2000, 2008 and 2013. The average PWELs for annual PM_2.5 for 2000, 2008, and 2013 were 22 μg m-3, 18 μg m-3 and 24 μg m-3, respectively. Using the WHO 2005 Air Quality Guideline cut-off point of PM_2.5 of 10 μg m-3, the estimated excess deaths for 2000, 2008, and 2013 from all-cause (natural) mortality were between 5893 and 9781 (95 % CI: 3347-12,791), COPD was between 164 and 957 (95 % CI: 95-1411), lung cancer was between 109 and 307 (95 % CI: 63-437), IHD was between 3 and 163 deaths, according to age groups (95 % CI: 2-394) and stroke was between 6 and 155 deaths, according to age groups (95 % CI: 3-261). An increase in estimated health endpoints was associated with increased estimated PWEL PM_2.5 for 2013 compared to 2000 and 2008. Adhering the ambient PM_2.5 level to the Malaysian Air Quality Standard IT-2 would reduce the national health endpoints mortality.

Clinical characteristics, management, and outcomes of patients with primary cardiac angiosarcoma: A systematic review

Primary cardiac angiosarcomas (PCA) are highly aggressive malignant heart tumors. Previous reports have shown a poor prognosis regardless of management, and no consensus or guidelines exist. It is necessary to clarify this information since patients with PCA have a short survival. Therefore, we aimed to systematically review clinical manifestations, management, and outcomes. We systematically searched in PubMed, Scopus, Web of Science, and EMBASE. We intended to include cross-sectional studies, case-control studies, cohort studies, and case series that reported clinical characteristics, management, and outcomes of patients with PCA. As a methodological approach, we used the Joanna Briggs Institute Critical Appraisal Checklist for Case Series and the Newcastle-Ottawa Scale for cohorts. We included six studies (five case series, one cohort). The mean/median age ranged from 39 to 48.9 years. Male sex was predominant. The most frequent manifestations were dyspnea (range: 50%-80%), pericardial effusion (29% & 56%), and chest pain (10%-39%). The mean tumor size ranged from 5.8 to 7.2 cm, with the majority of these localized in the right atrium (70-100%). The most common locations of metastasis were the lung (20%-55.6%), liver (10%-22.2%), and bone (10%-20%). Resection (22.9%-94%), and chemotherapy as neoadjuvant or adjuvant (30%-100%) were the most commonly used methods of treatment. Mortality ranged from 64.7% to 100%. PCA often presents late in its course and usually results in poor prognosis. We strongly recommend performing multi-institutional prospective cohorts to better study disease course and treatments to develop consensus, algorithms, and guidelines for this type of sarcoma.

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.

Serum cytokine levels and other associated factors as possible immunotherapeutic targets and prognostic indicators for lung cancer

Lung cancer is one of the most prevalent cancer types and the leading cause of cancer-related deaths worldwide. Non-small cell lung cancer (NSCLC) accounts for 80-85% of all cancer incidences. Lung cancer therapy and prognosis largely depend on the disease's degree at the diagnosis time. Cytokines are soluble polypeptides that contribute to cell-to-cell communication, acting paracrine or autocrine on neighboring or distant cells. Cytokines are essential for developing neoplastic growth, but they are also known to operate as biological inducers following cancer therapy. Early indications are that inflammatory cytokines such as IL-6 and IL-8 play a predictive role in lung cancer. Nevertheless, the biological significance of cytokine levels in lung cancer has not yet been investigated. This review aimed to assess the existing literature on serum cytokine levels and additional factors as potential immunotherapeutic targets and lung cancer prognostic indicators. Changes in serum cytokine levels have been identified as immunological biomarkers for lung cancer and predict the effectiveness of targeted immunotherapy.

Burden of tracheal, bronchus, and lung cancer in North Africa and Middle East countries, 1990 to 2019: Results from the GBD study 2019

OBJECTIVE

To provide estimates on the regional and national burden of tracheal, bronchus, and lung (TBL) cancer and its attributable risk factors from 1990 to 2019 in the North Africa and Middle East (NAME) region.

METHODS AND MATERIALS

The Global Burden of Disease (GBD) 2019 data were used. Disability-adjusted life years (DALYs), death, incidence, and prevalence rates were categorized by sex and age groups in the NAME region, in 21 countries, from 1990 to 2019. Decomposition analysis was performed to calculate the proportion of responsible factors in the emergence of new cases. Data are presented as point estimates with their 95% uncertainty intervals (UIs).

RESULTS

In the NAME region, TBL cancer caused 15,396 and 57,114 deaths in women and men, respectively, in 2019. The age-standardized incidence rate (ASIR) increased by 0.7% (95% UI -20.6 to 24.1) and reached 16.8 per 100,000 (14.9 to 19.0) in 2019. All the age-standardized indices had a decreasing trend in men and an increasing trend in women from 1990 to 2019. Turkey (34.9 per 100,000 [27.6 to 43.5]) and Sudan (8.0 per 100,000 [5.2 to 12.5]) had the highest and lowest age-standardized prevalence rates (ASPRs) in 2019, respectively. The highest and lowest absolute slopes of change in ASPR, from 1990 to 2019, were seen in Bahrain (-50.0% (-63.6 to -31.7)) and the United Arab Emirates (-1.2% (-34.1 to 53.8)), respectively. The number of deaths attributable to risk factors was 58,816 (51,709 to 67,323) in 2019 and increased by 136.5%. Decomposition analysis showed that population growth and age structure change positively contributed to new incident cases. More than 80% of DALYs could be decreased by controlling risk factors, particularly tobacco use.

CONCLUSION

The incidence, prevalence, and DALY rates of TBL cancer increased, and the death rate remained unchanged from 1990 to 2019. All the indices and contribution of risk factors decreased in men but increased in women. Tobacco is still the leading risk factor. Early diagnosis and tobacco cessation policies should be improved.

Favorable Mortality-to-Incidence Ratio Trends of Lung Cancer in Countries with High Computed Tomography Density

Background and Objectives: The prognoses of lung cancer deteriorate dramatically as the cancer progresses through its stages. Therefore, early screening using techniques such as low-dose computed tomography (LDCT) is critical. However, the epidemiology of the association between the popularization of CT and the prognosis for lung cancer is not known. Materials and Methods: Data were obtained from GLOBOCAN and the health data and statistics of the World Health Organization. Mortality-to-incidence ratios (MIRs) and the changes in MIR over time (δMIR; calculated as the difference between MIRs in 2018 and 2012) were used to evaluate the correlation with CT density disparities via Spearman's rank correlation coefficient. Results: Countries with zero CT density presented a relatively low incidence crude rate and a relatively high MIR in 2018 and a negative δMIR. Conversely, countries with a CT density over 30 had a positive δMIR. The CT density was significantly associated with the HDI score and MIR in 2018, whereas it demonstrated no association with MIR in 2012. The CT density and δMIR also showed a significant linear correlation. Conclusions: CT density was significantly associated with lung cancer MIR in 2018 and with δMIR, indicating favorable clinical outcomes in countries in which CT has become popularized.

Development of Clinical Prediction Score for Chemotherapy Response in Advanced Non-Small Cell Lung Cancer Patients

The outcomes of advanced non-small cell lung cancer (NSCLC) patients have been significantly improved with novel therapies, such as tyrosine kinase inhibitors and immune checkpoint inhibitors. However, in resource-limited countries, platinum-doublet chemotherapy is mainly used as a first-line treatment. We investigate clinical parameters to predict the response after chemotherapy, which may be useful for patient selection. A clinical prediction score (CPS) was developed, based on data from a retrospective cohort study of unresectable stage IIIB or IV NSCLC patients who were treated with platinum-doublet chemotherapy in the first-line setting with at least two cycles and an evaluated response by RECIST 1.1 at Surin Hospital Cancer Center, Thailand, between July 2014 and December 2018. The clinical parameters in the prediction model were derived by risk regression analysis. There were 117 responders (CR or PR) and 90 non-responders (SD or PD). The clinical prediction score was developed by six clinical parameters including gender, age, smoking status, ECOG, pre-treatment albumin, and histologic subtype. The AuROC of the model was 0.71 (95% CI 0.63-0.78). The internal validation was performed using a bootstrap technique and showed a consistent AuROC of 0.66 (95% CI 0.59-0.72). The prediction score ranged from 0-13, with a score of 0-8 meaning a low probability (PPV = 50%) and a score of 8.5-13 meaning a high probability (PPV = 83.7%) for chemotherapy response. Advanced NSCLC patients who cannot access novel therapies and have a CPS of 8.5-13 have a high probability for chemotherapy response in the first-line setting. This CPS could be used for risk communication and making decisions with patients, especially in regard to chemotherapy.

The Effect of Body Mass Index on Survival in Lung Cancer

The prognostic significance of body mass index in lung cancer and the direction of this relationship are not yet clear. This study aimed to evaluate the relationship between BMI and overall survival time of advanced-stage lung cancer patients treated in a center in Turkey, a developing country. In this study, the data of 225 patients diagnosed with stage III or stage IV lung cancer between 2016 and 2020 were analyzed. The effects of BMI and other variables on survival were examined by Cox regression analysis for NSCLC and SCLC. For NSCLC and SCLC, being underweight compared to the normal group, being diagnosed at a more advanced stage, and having a worse performance score were associated with a significantly higher risk of death. Other variables significantly associated with survival were gender, type of radiotherapy for NSCLC, age group, and family history for SCLC. This study showed that being underweight relative to the normal group was associated with worse survival for NSCLC and SCLC but did not support the obesity paradox. Studies that are representative of all BMI categories and free of bias are needed to understand the BMI-lung cancer survival relationship clearly.

Real-World Patterns and Decision Drivers of Radiotherapy for Lung Cancer Patients in Romania: RADIO-NET Study Results

Radiotherapy (RT) plays a crucial role in all stages of lung cancer. Data on recent real-world RT patterns and main drivers of RT decisions in lung cancer in Romania is scarce; we aimed to address these knowledge gaps through this physician-led medical chart review in 16 RT centers across the country. Consecutive patients with lung cancer receiving RT as part of their disease management between May-October 2019 (pre-COVID-19 pandemic) were included. Descriptive statistics were generated for all variables. This cohort included 422 patients: median age 63 years, males 76%, stages I-II 6%, III 43%, IV 50%, mostly adeno- and squamous cell carcinoma (76%), ECOG 0-1 50% at the time of RT. Curative intent RT was used in 36% of cases, palliative RT in 64%. Delays were reported in 13% of patients, mostly due to machine breakdown (67%). Most acute reported RT toxicity was esophagitis (19%). Multiple disease-, patient-, physician- and context-related drivers counted in the decision-making process. This is the first detailed analysis of RT use in lung cancer in Romania. Palliative RT still dominates the landscape. Earlier diagnosis, coordinated multidisciplinary strategies, and the true impact of the multimodal treatments on survival are strongly needed to improve lung cancer outcomes.

Adaptation criterion for segmentectomy in small-sized early stage non-small cell lung cancer

BACKGROUND

Although the utility of segmentectomy for early-stage non-small cell lung cancer (NSCLC) has been reported, the adaptation criterion for segmentectomy is unclear.

METHODS

In total, 171 NSCLC patients who underwent segmentectomy or lobectomy with a consolidation tumor diameter on computed tomography of ≤20 mm were analyzed.

RESULTS

Consolidation diameter (p = 0.01), consolidation to tumor ratio (CTR) (p < 0.01), maximum standardized uptake value (SUV_max ) (p < 0.01), and segmentectomy (p = 0.01) were significantly different upon univariate analysis among patients stratified by recurrence. Positive correlations were observed between the consolidation diameter on CT and CEA (correlation coefficient; r = 0.19, p = 0.01), SUV_max (r = 0.48, p < 0.01), and CTR (r = 0.83, p < 0.01). Because there was a significant correlation among the consolidation diameter of tumors on CT, CTR, and SUV_max in this study, we integrated these factors into one. Consolidation, CTR, and SUV_max (hazard ratio [HR]: 3.77, 95% confidence interval [CI]: 1.35-11.29, p = 0.01) and segmentectomy (HR: 0.24, 95% CI: 0.03-0.90, p = 0.03) were risk factors for recurrence in a multivariate analysis. There was a significant difference between the segmentectomy and lobectomy groups (5-year relapse-free survival [RFS] 96.5% vs. 80.7%, p = 0.02).

CONCLUSIONS

Consolidation tumor diameter on CT, CTR, and SUV_max is a risk factor for recurrence. These results suggest that for patients with small-sized early stage NSCLC, this combined factor is important for determining the indication for segmentectomy.

Invasive area to tumor ratio is a significant prognostic factor for non-small cell lung cancer

BACKGROUND

Although T factor is defined as the size of invasive area rather than total tumor size in the eighth edition of the TNM classification, whether the pathological invasive area to tumor ratio (ITR) is a prognostic factor has not yet been evaluated.

METHODS

In total, 432 lung adenocarcinoma patients were analyzed, among which 266 patients with pathological stage IA were used to perform a subanalysis.

RESULTS

Smoking status (odds ratio [OR]: 0.43, p = 0.01), neutrophil-to-lymphocyte ratio (NLR) (OR: 1.97, p = 0.03), maximum standardized uptake value (SUV_max ) (OR: 3.62, p < 0.01), and ITR (OR: 6.76, p < 0.01) were significantly different in univariate analysis. Smoking status (OR: 0.34, p < 0.01), SUV_max (OR: 3.05, p < 0.01), and ITR (OR: 5.44, p < 0.01) were risk factors for recurrence in multivariate analysis. In patients with pathological stage IA disease, smoking status (OR: 0.34, p = 0.03), NLR (OR: 2.30, p = 0.04), SUV_max (OR: 3.63, p < 0.01), pathological invasive area (OR: 4.00, p < 0.01), and ITR (OR: 6.03, p < 0.01) were significantly different in univariate analysis. Smoking status (OR: 0.27, p = 0.02), SUV_max (OR: 3.93, p < 0.01), and ITR (OR: 4.38, p < 0.01) were significant risk factors for recurrence in multivariate analysis.

CONCLUSIONS

SUV_max and ITR are risk factors for recurrence. These results suggest that SUV_max is important for deciding the indication for limited resection or adjuvant chemotherapy, and ITR is an adaptation criterion for adjuvant chemotherapy for early-stage lung adenocarcinoma patients.

The nomogram for the prediction of overall survival in patients with metastatic lung adenocarcinoma undergoing primary site surgery: A retrospective population-based study

Background

Lung adenocarcinoma (LUAD) is the most common type of Non-small-cell lung cancer (NSCLC). Distant metastasis of lung adenocarcinoma reduces the survival rate. we aim to develop a nomogram in order to predict the survival of patients with metastatic lung adenocarcinoma.

Methods

We retrospectively collected patients who were initially diagnosed as metastatic LUAD from 2010 to 2015 from SEER database. Based on the multivariate and univariate Cox regression analysis of the training cohorts, independent prognostic factors were assessed. The nomogram prediction model was then constructed based on these prognostic factors to predict the overall survival at 12, 24 and 36 months after surgery. Nomogram were identified and calibrated by c-index, time-dependent receiver operating characteristic curve (time-dependent AUC) and calibration curve. Decision curve analysis (DCA) was used to quantify the net benefit of the nomogram at different threshold probabilities, and to better compare with the TNM staging system, we calculated the c-index of this nomogram as well as the net reclassification improvement (NRI) and the integrated discrimination improvement (IDI).

Result

A total of 1102 patients with metastatic LUAD who met the requirements were included for analysis. They were randomly divided into 774 in the training cohorts and 328 in the validation cohorts. As can be seen from the calibration plots, the predicted nomogram and the actual observations in both of the training and validation cohorts were generally consistent. The time dependent AUC values of 12 months, 24 months and 36 months were 0.707, 0.674 and 0.686 in the training cohorts and 0.690, 0.680 and 0.688 in the verification cohorts, respectively. C-indexes for the training and validation cohorts were 0.653 (95%CI 0.626-0.68)and 0.663 (95%CI 0.626-1), respectively. NRI and IDI show that the model is more clinical applicable than the existing staging system. In addition, our risk scoring system based on Kaplan Meier (K-M) survival curve can accurately divide patients into three hierarchy risk groups.

Conclusion

This has led to the development and validation of a prognostic nomogram to assist clinicians in determining the prognosis of patients with metastatic lung adenocarcinoma after primary site surgery.

Real-life long-term outcomes of upfront surgery in patients with resectable stage I-IIIA non-small cell lung cancer

BACKGROUND

Treatment of early-stage non-small cell lung cancer (NSCLC) is rapidly evolving. When introducing novelties, real-life data on effectiveness of currently used treatment strategies are needed. The present study evaluated outcomes of stage I-IIIA NSCLC patients treated with upfront radical surgery in everyday clinical practice, between 2010-2017.

PATIENTS AND METHODS

Data of 539 consecutive patients were retrieved from a prospective hospital-based registry. All diagnostic, treatment and follow-up procedures were performed at the same thoracic oncology centre according to the valid guidelines. The primary outcome was overall survival (OS) analysed by clinical(c) and pathological(p) TNM (tumour, node, metastases) stage. The impact of clinicopathological characteristics on OS was evaluated using univariable (UVA) and multivariable regression analysis (MVA).

RESULTS

With a median follow-up of 53.9 months, median OS and 5-year OS rate in the overall population were 90.4 months and 64.4%. Five-year OS rates by pTNM stage I, II and IIIA were 70.2%, 60.21%, and 49.9%, respectively. Both cTNM and pTNM stages were associated with OS; but only pTNM retained its independent prognostic value (p = 0.003) in MVA. Agreement between cTNM and pTNM was 69.0%. Next to pTNM, age (p = 0.001) and gender (p = 0.004) retained their independent prognostic value for OS.

CONCLUSIONS

The study showed favourable outcomes of resectable stage I-IIIA NSCLC treated with upfront surgery in real-life. Relatively low agreement between cTNM and pTNM stages and independent prognostic value of only pTNM, observed in real-life data, suggest that surgery remains the most accurate provider of the anatomical stage of disease and important upfront therapy.

DNA methylation profiling identifies subgroups of lung adenocarcinoma with distinct immune cell composition, DNA methylation age, and clinical outcome

PURPOSE

Lung adenocarcinoma (LUAD) is a clinically heterogenous disease, which is highlighted by the unpredictable recurrence in low-stage tumors and highly variable responses observed in patients treated with immunotherapies, which cannot be explained by mutational profiles. DNA methylation-based classification and understanding of microenviromental heterogeneity may allow stratification into clinically relevant molecular subtypes of LUADs.

EXPERIMENTAL DESIGN

We characterize the genome-wide DNA methylation landscape of 88 resected LUAD tumors. Exome sequencing focusing on a panel of cancer-related genes was used to genotype these adenocarcinoma samples. Bioinformatic and statistical tools, the immune cell composition, DNA methylation age (DNAm age), and DNA methylation clustering were used to identify clinically relevant subgroups.

RESULTS

Deconvolution of DNA methylation data identified immunologically hot and cold subsets of lung adenocarcinomas. Additionally, concurrent factors were analyzed that could affect the immune microenvironment, such as smoking history, ethnicity, or presence of KRAS or TP53 mutations. When the DNAm age was calculated, a lower DNAm age was correlated with the presence of a set of oncogenic drivers, poor overall survival, and specific immune cell populations. Unsupervised DNA methylation clustering identified 6 molecular subgroups of LUAD tumors with distinct clinical and microenvironmental characteristics.

CONCLUSIONS

Our results demonstrate that DNA methylation signatures can stratify lung adenocarcinoma into clinically relevant subtypes, and thus such classification of LUAD at the time of resection may lead to better methods in predicting tumor recurrence and therapy responses.

Association of Diabetes Severity and Mortality with Lung Squamous Cell Carcinoma

Simple Summary

The survival impact of diabetes severity on lung cancer survival remains unclear. We performed head-to-head propensity score matching to estimate the survival impact of various adapted diabetes complications severity index (aDCSI) scores in patients with both diabetes and lung squamous cell carcinoma (SqCLC). The results indicated that diabetes severity (aDCSI ≥ 2) is an independent prognostic factor for the overall survival of patients with both diabetes and lung SqCLC who receive standard treatments. Prevention of diabetes progression is necessary for patients with diabetes; it affects not only diabetes control but also improves survival for patients with lung SqCLC.

Abstract

Purpose: The survival impact of diabetes severity on lung cancer remains unclear. We performed head-to-head propensity score matching to estimate the survival impact of various adapted diabetes complications severity index (aDCSI) scores in patients with both diabetes and lung squamous cell carcinoma (SqCLC). Patients and Methods: We enrolled patients with both diabetes and lung SqCLC and categorized them into the mild (aDCSI = 0–1) and moderate-to-severe (aDCSI ≥ 2) diabetes groups. The patients in both groups were matched at a 1:1 ratio. Results: the matching process yielded a final cohort of 5742 patients with both diabetes and lung SqCLC (2871 patients in the mild diabetes group and 2871 patients in the moderate-to-severe diabetes groups) who were eligible for further analysis. A multivariate Cox regression analysis revealed that the adjusted hazard ratio (aHR; 95% confidence interval) of all-cause death for the mild diabetes group relative to the moderate-to-severe diabetes group was 1.17 (1.08–1.28; p = 0.0005). Conclusion: severe diabetes (aDCSI ≥ 2) is an independent prognostic factor for OS among patients with both diabetes and lung SqCLC who receive standard treatments. Preventing diabetes progression is necessary for patients with diabetes because it not only supports diabetes control but also improves survival for patients with lung SqCLC.

Prognostic Impact of EGFR Amplification and Visceral Pleural Invasion in Early Stage Pulmonary Squamous Cell Carcinomas Patients after Surgical Resection of Primary Tumor

Over the last few decades, an increasing amount of information has been accumulated on biomarkers in non-small cell lung cancer (NSCLC). Despite these advances, most biomarkers have been identified in the adenocarcinoma histological subtype (AC). However, the application of molecular-targeted therapies in the prognosis and treatment of SCC in the clinical setting is very limited, becoming one of the main focus areas in research. Here, we prospectively analyzed the frequency of numerical/structural abnormalities of chromosomes 5, 7, 8, 9, 13 and 22 with FISH in 48 pulmonary SCC patients. From a total of 12 probes, only abnormalities of the 7p12 and 22q12 chromosomal regions were identified as unique genetic variables associated with the prognosis of the disease. The study for these two chromosomal regions was extended to 108 patients with SCC. Overall, chromosome losses were observed more frequently than chromosome gains, i.e., 61% versus 19% of all the chromosome abnormalities detected. The highest levels of genetic amplification were detected for the 5p15.2, 7p12, 8q24 and 22q11 chromosome bands, of which several genes are potentially involved in the pathogenesis of SCC, among others, include the EGFR gene at chromosome 7p12. Patients who displayed EGFR amplification (n = 13; 12%) were mostly older than 65 years (p = 0.07) and exclusively patients in early T-primary tumor stage (pT1−pT2; p = 0.03) with a significantly shortened overall survival (OS) (p ≤ 0.001). Regarding prognosis, the clinical, biological, and histopathologic characteristics of the disease that displayed a significant adverse influence on OS in the univariate analysis included patients older than 65 years (p = 0.02), the presence of lymph node involvement (p = 0.005), metastasis (p = 0.01) and, visceral pleural invasion (VPI) at diagnosis (p = 0.04). EGFR amplification also conferred an adverse impact on patient OS in the whole series (p = 0.02) and especially in patients in early stages (pT1−pT2; p = 0.01). A multivariate analysis of the prognostic factors for OS showed that the most informative combination of independent variables to predict an adverse outcome was the presence of VPI and/or EGFR amplification (p < 0.001). Based on these two variables, a scoring system was built to stratify patients into low- (no adverse features: score 0; n = 69), intermediate- (one adverse feature: score 1; n = 29) and high-risk (two adverse features: score 2; n = 5) groups, with significantly different (p = 0.001) OS rates at 50 months, which were as following: 32%, 28% and 0%, respectively. In the present study, we show that the presence of a high level of 7p12 (EGFR) amplification, exclusively detected in early stage SCC (pT1−pT2), is an independent adverse prognostic factor for OS. The identification of the EGFR gene copy number using FISH techniques may provide a more accurate diagnosis of high-risk populations after the complete resection of the primary tumor. When combined with VPI, three groups of pulmonary SCC were clearly identified that show the extent of the disease. This is of such importance that further prospective studies are necessary in larger series of SCC patients to be classified at the time of diagnosis. This could be achieved with the combined assessment of 7p12 amplification and VPI in primary tumor samples.

Prognostic Values of Inflammatory Indexes and Clinical Factors in Patients with Epidermal Growth Factor Receptor Mutations in Lung Adenocarcinoma and Treated with Tyrosine Kinase Inhibitors

This study aimed to access the predictive value of inflammatory indices and clinical factors in toxicity and survival in patients with epidermal growth factor receptor (EGFR)-mutated lung adenocarcinoma receiving first-line tyrosine kinase inhibitor (TKI)-treatment. A total of 259 patients with stage IIIB−IV lung adenocarcinoma and actionable EGFR mutation who received first-line TKI treatment between 2008 and 2020 were retrospectively enrolled and analyzed. The prognostic factors of TKI-related toxicity, overall survival (OS), and progression-free survival (PFS) were identified by using logistic regression analysis and Cox proportional hazards models. Pre-TKI high platelet-to-lymphocyte ratio (PLR) was associated with post-TKI anemia. Hypoalbuminemia was associated with acneiform rash. Elderly age (≥70 years) and lower body mass index (<18.5 kg/m2) were also associated with hypoalbuminemia. Elderly age, stage IV, EGFR-mutated with L858R and uncommon mutations, and neutrophil-to-lymphocyte ratio were found to be independent prognostic factors for PFS, while elderly age, uncommon EGFR-related mutations, and lymphocyte-to-monocyte ratio were found to be independent prognostic factors for OS. A useful prognostic scoring tool for improving the survival risk stratification of patients was established by incorporating the above essential factors. Baseline hypoalbuminemia and PLR could be crucial clinical assessment factors when initiating TKI therapy. In addition, the optimization of individualized treatment strategies for these patients may be assisted by using the risk-scoring model.

Longitudinal patient-reported outcomes and survival among early-stage non-small cell lung cancer patients receiving stereotactic body radiotherapy

BACKGROUND AND PURPOSE

The study objective was to determine whether longitudinal changes in patient-reported outcomes (PROs) were associated with survival among early-stage, non-small cell lung cancer (NSCLC) patients undergoing stereotactic body radiation therapy (SBRT).

MATERIALS AND METHODS

Data were obtained from January 2015 through March 2020. We ran a joint probability model to assess the relationship between time-to-death, and longitudinal PRO measurements. PROs were measured through the Edmonton Symptom Assessment Scale (ESAS). We controlled for other covariates likely to affect symptom burden and survival including stage, tumor diameter, comorbidities, gender, race/ethnicity, relationship status, age, and smoking status.

RESULTS

The sample included 510 early-stage NSCLC patients undergoing SBRT. The median age was 73.8 (range: 46.3-94.6). The survival component of the joint model demonstrates that longitudinal changes in ESAS scores are significantly associated with worse survival (HR: 1.04; 95% CI: 1.02-1.05). This finding suggests a one-unit increase in ESAS score increased probability of death by 4%. Other factors significantly associated with worse survival included older age (HR: 1.04; 95% CI: 1.03-1.05), larger tumor diameter (HR: 1.21; 95% CI: 1.01-1.46), male gender (HR: 1.87; 95% CI: 1.36-2.57), and current smoking status (HR: 2.39; 95% CI: 1.25-4.56).

CONCLUSION

PROs are increasingly being collected as a part of routine care delivery to improve symptom management. Healthcare systems can integrate these data with other real-world data to predict patient outcomes, such as survival. Capturing longitudinal PROs-in addition to PROs at diagnosis-may add prognostic value for estimating survival among early-stage NSCLC patients undergoing SBRT.

Racial Differences in Survival Among Advanced-stage Non-small-Cell Lung Cancer Patients Who Received Immunotherapy: An Analysis of the US National Cancer Database (NCDB)

Lung cancer is the most common cause of cancer death among men and women in the United States, with significant racial disparities in survival. It is unclear whether these disparities persist upon equal utilization of immunotherapy. The purpose of this study was to evaluate the association between race and all-cause mortality among non-small-cell lung cancer (NSCLC) patients who received immunotherapy. We obtained data from the 2016 National Cancer Database on patients diagnosed with advanced-stage (III-IV) NSCLC from 2015 to 2016. Multivariable Cox proportional hazards models were used to calculate hazard ratios (HR) and 95% confidence intervals (95% CI) by race/ethnicity. A total of 2940 patients were included. Non-Hispanic (NH)-Black patients had a lower risk of death relative to NH-White patients (HR: 0.85; 95% CI: 0.73, 0.98) after adjusting for sociodemographic, clinical, and treatment factors. Formal tests of interaction evaluating race with Charlson-Deyo comorbidity score and race with area-level median income were nonsignificant. However, in stratified analyses, NH-Black versus NH-White patients had a lower risk of death in models adjusted for sociodemographic factors among those with at least 1 comorbidity (HR: 0.75; 95% CI: 0.57, 0.97), and those living in regions within the 2 lowest quartiles of median income (HR: 0.82; 95% CI: 0.68, 0.99). Among advanced-stage NSCLC patients who received immunotherapy, NH-Black patients experienced higher survival compared with NH-White patients. We urge the implementation of policies and interventions that seek to equalize access to care as a means of addressing differences in overall NSCLC survival by race.

Prognostic factors for treatment response and survival outcomes after first-line management of Stage 4 non-small cell lung cancer: A real-world Indian perspective

Background:

Indian data on treatment outcomes and survival in advanced non-small cell lung cancer (NSCLC) remain scarce.

Materials and Methods:

A retrospective review of 537 advanced NSCLC patients treated at a tertiary care facility in North India from January 2008 to March 2018 was done to assess treatment response and survival in terms of objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), and overall survival (OS).

Results:

Median age of enrolled patients was 60 years (range: 26–89 years). The majority were males (78.2%) and smokers (66.5%). Adenocarcinoma (51.2%) was the most common pathological type. Most patients had good performance status (PS) (the Eastern Cooperative Oncology Group [ECOG] 0 or 1 in 55.7%) and received conventional chemotherapy (86.6%). ORR and DCR after 3–4 months of first-line treatment were 55.2% and 71.75%, respectively (n = 223). Never smokers had better ORR as well as DCR compared to chronic smokers whereas treatment with tyrosine kinase inhibitors achieved significantly better ORR, and patients with good PS had better DCR compared to those with poor PS. Median PFS (n = 455) was 7.0 months (95% confidence interval [CI]: 3.7–14.0) and median OS was 11.7 months (95% CI: 5.5–29.9 months). Good PS and nonsmoking status were independent predictors of better PFS on multivariate analysis. For OS, good PS, nonsmoking behavior, and treatment with epidermal growth factor receptor inhibitors were independent predictors.

Conclusion:

In advanced NSCLC, never-smokers, and patients with good baseline ECOG have favorable treatment and survival outcomes. Treatment with targeted therapy results in better ORR and OS but did not affect PFS.

OUP accepted manuscript

Background

Although immunotherapy can increase survival in non-small cell lung cancer (NSCLC), response rates are low. It is unclear which characteristics contribute to variability in immunotherapy efficacy and survival. Research is needed to identify reasons for heterogeneity in response rates to better tailor treatments.

Methods

Web of Science, Ovid EMBASE, and MEDLINE were queried from 2013 to January 2021, and all studies reporting overall or progression-free survival for patients treated with immunotherapy for NSCLC of at least stage IIIB were screened.

Results

Included were 18 randomized controlled trials (RCTs; 6534 immunotherapy RCTs; 11 192 nonimmunotherapy RCTs) and 16 observational studies (n = 9073 immunotherapy patients). Among RCTs, there was improved survival with the addition of immunotherapy in patients aged younger than 65 years in 10 of 17 studies; smokers in 8 of 15 studies; and males in 10 of 17 studies and 6 of 17 females. Only 5 studies reported outcomes by race. Among observational studies, younger patients (aged younger than 60, younger than 65, or younger than 70 years in most studies) had better survival than older patients (aged 60 years and older, 65 years and older, or 70 years and older) in 4 of 13 studies, ever-smokers in 7 of 13, and females in 2 of 14. Three studies reported race with mixed results.

Conclusion

Although evidence is mixed, younger patients, smokers, and males may derive more benefit from immunotherapy. Evidence on racial differences is limited. Physicians should be mindful of personal characteristics when formulating treatment plans. Further research is needed to understand underlying mechanisms and to identify the best immunotherapy candidates and alternative treatments for those unlikely to benefit.

Factors associated with diagnosis of stages I and II lung cancer: a multivariate analysis

OBJECTIVE

To present the overall survival rate for lung cancer and identify the factors associated with early diagnosis of stage I and II lung cancer.

METHODS

This is a retrospective cohort study including individuals diagnosed with lung cancer, from January 2009 to December 2017, according to the cancer registry at UMass Memorial Medical Center. Five-year overall survival and its associated factors were identified by Kaplan-Meier curves and Cox's proportional hazards model. Factors associated with diagnosing clinical stage I and II lung cancer were identified by bivariate and multivariate backward stepwise logistic regression (Log-likelihood ratio (LR)) at 95% confidence interval (CI).

RESULTS

The study was conducted with data on 2730 individuals aged 67.9 years on average, 51.5% of whom female, 92.3% white, and 6.6% never smoked. Five-year overall survival was 21%. Individuals diagnosed with early-stage disease had a 43% five-year survival rate compared to 8% for those diagnosed at late stages. Stage at diagnosis was the main factor associated with overall survival [HR = 4.08 (95%CI: 3.62-4.59)]. Factors associated with early diagnosis included patients older than 68 years [OR = 1.23 (95%CI: 1.04-1.45)], of the female gender [OR = 1.47 (95%CI: 1.24-1.73)], white [OR = 1.63 (95%CI: 1.16-2.30)], and never-smokers [OR = 1.37 (95%CI: 1.01-1.86)]; as well as tumors affecting the upper lobe [OR = 1.46 (95%CI: 1.24-1.73)]; adenocarcinoma [OR = 1.43 (95%CI: 1.21-1.69)]; and diagnosis after 2014 [OR = 1.61 (95%CI: 1.37-1.90)].

CONCLUSIONS

Stage at diagnosis was the most decisive predictor for survival. Non-white and male individuals were more likely to be diagnosed at a late stage. Thus, promoting lung cancer early diagnosis by improving access to health care is vital to enhance overall survival for individuals with lung cancer.