The IASLC Lung Cancer Staging Project: External Validation of the Revision of the TNM Stage Groupings in the Eighth Edition of the TNM Classification of Lung Cancer

An Analysis of JADE2 in Non-Small Cell Lung Cancer (NSCLC)

The JADE family comprises three members encoded by individual genes and roles for these proteins have been identified in chromatin remodeling, cell cycle progression, cell regeneration and the DNA damage response. JADE family members, and in particular JADE2 have not been studied in any great detail in cancer. Using a series of standard biological and bioinformatics approaches we investigated JADE2 expression in surgically resected non-small cell lung cancer (NSCLC) for both mRNA and protein to examine for correlations between JADE2 expression and overall survival. Additional correlations were identified using bioinformatic analyses on multiple online datasets. Our analysis demonstrates that JADE2 expression is significantly altered in NSCLC. High expression of JADE2 is associated with a better 5-year overall survival. Links between JADE2 mRNA expression and a number of mutated genes were identified, and associations between JADE2 expression and tumor mutational burden and immune cell infiltration were explored. Potential new drugs that can target JADE2 were identified. The results of this biomarker-driven study suggest that JADE2 may have potential clinical utility in the diagnosis, prognosis and stratification of patients into various therapeutically targetable options.

Preoperative CT-based radiomics combined with tumour spread through air spaces can accurately predict early recurrence of stage I lung adenocarcinoma: a multicentre retrospective cohort study

OBJECTIVE

To develop and validate a prediction model for early recurrence of stage I lung adenocarcinoma (LUAD) that combines radiomics features based on preoperative CT with tumour spread through air spaces (STAS).

MATERIALS AND METHODS

The most recent preoperative thin-section chest CT scans and postoperative pathological haematoxylin and eosin-stained sections were retrospectively collected from patients with a postoperative pathological diagnosis of stage I LUAD. Regions of interest were manually segmented, and radiomics features were extracted from the tumour and peritumoral regions extended by 3 voxel units, 6 voxel units, and 12 voxel units, and 2D and 3D deep learning image features were extracted by convolutional neural networks. Then, the RAdiomics Integrated with STAS model (RAISm) was constructed. The performance of RAISm was then evaluated in a development cohort and validation cohort.

RESULTS

A total of 226 patients from two medical centres from January 2015 to December 2018 were retrospectively included as the development cohort for the model and were randomly split into a training set (72.6%, n = 164) and a test set (27.4%, n = 62). From June 2019 to December 2019, 51 patients were included in the validation cohort. RAISm had excellent discrimination in predicting the early recurrence of stage I LUAD in the training cohort (AUC = 0.847, 95% CI 0.762-0.932) and validation cohort (AUC = 0.817, 95% CI 0.625-1.000). RAISm outperformed single modality signatures and other combinations of signatures in terms of discrimination and clinical net benefits.

CONCLUSION

We pioneered combining preoperative CT-based radiomics with STAS to predict stage I LUAD recurrence postoperatively and confirmed the superior effect of the model in validation cohorts, showing its potential to assist in postoperative treatment strategies.

Clinicopathological features and survival of rare primary pulmonary lymphoepithelial carcinoma: A cohort from a single center

BACKGROUND

Primary pulmonary lymphoepithelial carcinoma (PLEC) is a rare subtype of nonsmall cell lung cancer. This study aimed to investigate the clinicopathological and prognostic characteristics of resected primary PLEC.

MATERIALS AND METHODS

In this retrospective study, 95 consecutive patients with primary PLEC, who received radical surgical resection treatment, were examined from October 2009 to January 2022. The clinicopathological features and their association with survival outcomes were analyzed.

RESULTS

Primary PLEC predominated in relatively younger patients and nonsmokers, who lacked driver mutations and were always positive for immunohistochemical markers of the squamous cell lineage. Further, 21.1% of patients had abnormally elevated preoperative serum marker fragments of cytokeratin 19 (Cyfra21-1). The median follow-up time was 43.5 months. The 1-, 3-, and 5-year recurrence-free survival (RFS) rates were 96.5%, 81.8%, and 64.3%, respectively. The median RFS time was not reached. Cox univariate survival analysis showed that patients with positive lymph nodes had significantly worse RFS than those with negative ones (p = 0.017). The patients with open surgery experienced significantly worse RFS than those with video-assisted thoracoscopic surgery (p = 0.038). The multivariate survival analysis confirmed that only lymph node involvement (hazard ratio: 2.769; 95% confidence interval: 1.171-6.548, p = 0.020) was an independent prognostic factor.

CONCLUSIONS

Primary PLEC is a rare type of lung cancer with a favorable outcome, more common in young and nonsmoking Asian populations. Driver gene mutations are rare. Regional lymph node metastasis is an independent prognostic factor for RFS after radical surgical resection.

The 8th Edition TNM Stage Reclassification of T4 Non-Small Cell Lung Cancer: A Granular Examination of Short and Long-Term Outcomes

INTRODUCTION

Whilst the American Joint Committee on Cancer 7th edition (AJCC7) classified pT4 non-small-cell lung cancers (NSCLC) as those with extra-pulmonary invasion, the revised 8th edition (AJCC8) included tumors > 7cm regardless of extra-pleural spread. We examined perioperative and long-term outcomes of classical T4 definitions with patients whose tumors were greater than 7cm without extra-pulmonary invasion.

MATERIALS AND METHODS

A retrospective single center cohort study was performed. All consecutive patients with pT4 lesions between 2011 and 2018 were identified based on either the AJCC7 or AJCC8 classification. Clinicopathological variables were extracted and compared in a univariate manner. A multivariate Cox regression analysis was performed to assess factors associated with overall survival.

RESULTS

Forty patients were allocated to AJCC7 and 118 to AJCC8. Patients in the former were more likely to have positive lymph nodes, synchronous metastasis, multifocal disease and lymphovascular invasion. AJCC7 patients were more likely to undergo pneumonectomy despite significantly more being treated with neoadjuvant therapy. Ninety-day mortality was higher in the AJCC7 group. There was no difference in long-term overall survival. On multivariate analysis male gender, squamous cell histology and increasing tumor size were associated with an increased risk of death.

CONCLUSION

Although long-term outcomes were similar, the heterogenicity within the AJCC8 classification emphasizes the need to contextualize the perioperative outcomes for patients with pT4 NSCLC. These data are important for future iterations of the TNM classification in view of emerging neoadjuvant options for patients with cT4 operable NSCLC.

The prognostic value of TMB in early-stage non-small cell lung cancer: a systematic review and meta-analysis

Background

Tumor mutation burden (TMB) has been validated as a predictive biomarker for immunotherapy response and survival in numerous cancer types. Limited data is available on the inherent prognostic role of TMB in early-stage tumors.

Objective

To evaluate the prognostic role of TMB in early-stage, resected non-small cell lung cancer (NSCLC).

Design

Systematic review and meta-analysis of pertinent prospective and retrospective studies.

Data sources and methods

Publication search was performed in PubMed, Embase, Cochrane Library, and Web of Science databases. Based on the level of heterogeneity, a random- or fixed-effects model was used to calculate pooled effects of hazard ratio (HR) for overall survival (OS) and disease-free survival (DFS). The source of heterogeneity was investigated using sensitivity analysis, subgroup analysis, and publication bias assessment.

Results

Ten studies comprising 2520 patients were included in this analysis. There was no statistically significant difference in OS (HR, 1.18, 95% CI, 0.70, 1.33; p 0.53, I2 = 80%; phet < 0.0001) and DFS (HR, 1.18, 95% CI, 0.91, 1.52; p = 0.53, I2 = 75%; phet = 0.0001) between the high-TMB and low-TMB group. Subgroup analyses indicated that East Asian ethnicity, and TMB detected using whole exome sequencing, and studies with <100 patients had poor DFS in the high-TMB group.

Conclusion

The inherent prognostic role of TMB is limited in early-stage NSCLC. Ethnic differences in mutation burden must be considered while designing future trials on neoadjuvant immunotherapy. Further research in the harmonization and standardization of panel-based TMB is essential for its widespread clinical utility.Registration: CRD42023392846.

A study on fractional tumor-immune interaction model related to lung cancer via generalized Laguerre polynomials

BACKGROUND

Cancer, a complex and deadly health concern today, is characterized by forming potentially malignant tumors or cancer cells. The dynamic interaction between these cells and their environment is crucial to the disease. Mathematical models can enhance our understanding of these interactions, helping us predict disease progression and treatment strategies.

METHODS

In this study, we develop a fractional tumor-immune interaction model specifically for lung cancer (FTIIM-LC). We present some definitions and significant results related to the Caputo operator. We employ the generalized Laguerre polynomials (GLPs) method to find the optimal solution for the FTIIM-LC model. We then conduct a numerical simulation and compare the results of our method with other techniques and real-world data.

RESULTS

We propose a FTIIM-LC model in this paper. The approximate solution for the proposed model is derived using a series of expansions in a new set of polynomials, the GLPs. To streamline the process, we integrate Lagrange multipliers, GLPs, and operational matrices of fractional and ordinary derivatives. We conduct a numerical simulation to study the effects of varying fractional orders and achieve the expected theoretical results.

CONCLUSION

The findings of this study demonstrate that the optimization methods used can effectively predict and analyze complex phenomena. This innovative approach can also be applied to other nonlinear differential equations, such as the fractional Klein-Gordon equation, fractional diffusion-wave equation, breast cancer model, and fractional optimal control problems.

5-Year survival in Danish patients with advanced non-small cell lung cancer treated with immune checkpoint inhibitor monotherapy

BACKGROUND

Convincing results from randomized controlled trials (RCTs) have led to increasing use of immune checkpoint inhibitors (ICI) as part of standard therapies in real-world (RW) scenarios. However, RW patients differ clinically from RCT populations and might have reduced long-term survival. Currently, only sparse data on 3-5-year survival rate for RW patients with advanced non-small cell lung cancer (NSCLC) treated with ICI exist.

MATERIALS AND METHODS

A multicenter study was performed including 729 patients with advanced NSCLC receiving monotherapy with ICI (retrospective data (n = 566) and prospective data (n = 163)). Detailed baseline clinical characteristics, programmed death-ligand 1 (PD-L1) tumor proportion score (TPS), and baseline haematological count were registered. Kaplan-Meier estimates and log-rank test were used for survival analyses, Cox regression for determination of prognostic factors.

RESULTS

Median time of follow-up (FU) was 48.7 months (IQR 37.2-54.3). Median overall survival (OS) in first line treatment was 20.4 months (IQR 8.5-45.0) compared to 11.4 months (IQR 4.6-27.1) in ≥2nd line (HR 1.48, 95% CI 1.25-1.75). Estimated probability of OS was 30% at 3 years, 23% at 4 years, and 13% at 5 years in first line compared to 17, 13, and 11% in ≥2nd line, respectively. For those with performance status (PS) 2, the 2-year OS rate was 32% (95% CI 0.22-0.43) compared to 5% (95% CI 0.01-0.15) in patients with PD-L1 ≥ 50% versus <50%, respectively.

CONCLUSIONS

Compared to RCTs, long-term OS and PFS rates are lower in real-world patients treated with ICI in first line but much improved compared to historic rates on chemotherapy. A promising flattening of both the OS and progression free survival curves illustrates that also a subset of real-world patients obtain long-term remission. Patients with PS 2 and PD-L1 ≥ 50% may obtain clinically meaningful 2-year PFS and OS rates.

Identification of FUT7 hypomethylation as the blood biomarker in the prediction of early-stage lung cancer

Early detection of lung cancer (LC) is vital for reducing LC-related mortality. However, noninvasive diagnostic tools remain a great challenge. We aim to identify blood-based biomarkers for the early detection of LC. Here, LC-associated hypomethylation in alpha-1,3-fucosyltransferase VII (FUT7) is identified via the Illumina 850K array in a discovery study and validated by mass spectrometry in two independent case-control studies with blood samples from 1720 LC patients (86.8% LC at stage I, blood is collected before surgery and treatment) and 3143 healthy controls. Compared to the controls, blood-based FUT7 hypomethylation is identified in LC patients at stage I, and even in LC patients with malignant nodules ≤ 1 cm and in patients with adenocarcinoma in situ. Gender plays a role in the LC-associated FUT7 hypomethylation in blood, which is more significant in males than in females. We also reveal that FUT7 hypomethylation in LC could be enhanced by the advanced stage of cancer, involvement of lymph nodes, and larger tumor size. Based on a large sample size and semi-quantitative methods, our study reveals a strong association between blood-based FUT7 hypomethylation and LC, suggesting that methylation signatures in blood may be a group of potential biomarkers for detection of early-stage LC.

Real-world study of disease-free survival & patient characteristics associated with disease-free survival in early-stage non-small cell lung cancer: A retrospective observational study

INTRODUCTION/ BACKGROUND

Surgical resection remains standard of care for patients with early-stage non-small cell lung cancer (NSCLC), but research shows that adjuvant therapy can reduce the risk of disease recurrence. Our objective was to characterize disease-free survival (DFS) using real-world data.

MATERIALS AND METHODS

This was a retrospective study using the COTA real-world database derived from electronic health records in the United States (US). Adults diagnosed with stage IB-IIIA NSCLC from 2013 to 2018 who underwent complete surgical resection (index date) for NSCLC were included. DFS was analyzed using the Kaplan-Meier method. A multivariable Cox-Proportional Hazard (PH) model stratified by year of diagnosis was developed to evaluate covariates associated with DFS.

RESULTS

703 patients met the study criteria (mean age 66.2 years, female (56%), White (82%), and median follow-up time was 37.4 months from index date. Approximately 48% of patients experienced recurrence or death with a median DFS of 42.9 months (95% CI: 37.4-52.2). Patients who received adjuvant therapy, neoadjuvant and adjuvant therapy, neoadjuvant therapy, and surgery only experienced a median DFS of 43.7, 32.3, 33.7, and 49.4 months, respectively. After adjustment, stage at diagnosis and adjuvant therapy status were significantly associated with DFS events.

CONCLUSIONS

Higher stage at diagnosis and lack of adjuvant therapy were associated with greater risk of recurrence. Future research should focus on the adoption and effect of adjuvant/ neoadjuvant therapies on disease recurrence, including in patients with oncogenic driver mutations.

B-Cell Infiltrate in the Tumor Microenvironment Is Associated With Improved Survival in Resected Lung Adenocarcinoma

Introduction

Relapse is common after resection of lung adenocarcinoma (LUAD). Features of the tumor microenvironment (TME) which influence postsurgical survival outcomes are poorly characterized. Here, we analyzed the TME of more than 1500 LUAD specimens to identify the relationship between B-cell infiltration and prognosis.

Methods

Whole exome sequencing and bulk RNA sequencing were performed on LUADs and adjacent normal lung tissue. Relapse-free survival and overall survival (OS) were retrospectively correlated with characteristics of the tumor and TME in three data sets.

Results

High B-cell content (defined as >10% B cells) was associated with improved OS in both a The Cancer Genome Atlas-resected LUAD data set (p = 0.01) and a separate institutional stage II LUAD data set (p = 0.04, median not reached versus 89.5 mo). A validation cohort consisting of pooled microarray data representing more than 1400 resected stage I to III LUADs confirmed the association between greater B-cell abundance, specifically higher B-cell expression, and longer postsurgical survival (median OS 90 versus 71 mo, p < 0.01). Relapse-free survival was longer for patients with adenocarcinomas with high B-cell content across data sets, but it did not reach statistical significance. Subcategorization of B-cell subsets indicated that high naive B-cell content was most predictive of survival. There was no correlation between programmed death-ligand 1 expression, lymphoid aggregates, or overall immune infiltrate density and survival outcomes across the cohorts.

Conclusions

The growing adjuvant immunotherapy repertoire has increased the urgency for identifying prognostic and predictive biomarkers. Comprehensive profiling of more than 1500 LUADs suggests that high tumor-infiltrating B-cell content is a favorable prognostic marker.

Locally advanced non-small cell lung cancer: current issues and recent trends

The focus of this paper was to review and summarise the current issues and recent trends within the framework of locally advanced (LA) non-small cell lung cancer (NSCLC). The recently proposed 8^th tumour-node-metastases (TNM) staging system exhibited significant amendments in the distribution of the T and M descriptors. Every revision to the TNM classification should contribute to clinical improvement. This is particularly necessary regarding LA NSCLC stratification, therapy and outcomes. While several studies reported the superiority of the 8^th TNM edition in comparison to the previous 7^th TNM edition, in terms of both the discrimination ability among the various T subgroups and clinical outcomes, others argued against this interpretation. Synergistic cytotoxic chemotherapy with radiotherapy is most prevalent in treating LA NSCLC. Clinical trial experience from multiple references has reported that the risk of locoregional relapse and distant metastasis was less evident for patients treated with concomitant radiochemotherapy than radiotherapy alone. Nevertheless, concern persists as to whether major incidences of toxicity may occur due to the addition of chemotherapy. Cutting-edge technologies such as four-dimensional computed tomography (4D-CT) and volumetric modulated arc therapy (VMAT) should yield therapeutic gains due to their capability to conform radiation doses to tumours. On the basis of the preceding notion, the optimum radiotherapy technique for LA NSCLC has been a controversial and much-disputed subject within the field of radiation oncology. Notably, no single-perspective research has been undertaken to determine the optimum radiotherapy modality for LA NSCLC. The landscape of immunotherapy in lung cancer is rapidly expanding. Currently, the standard of care for patients with inoperable LA NSCLC is concurrent chemoradiotherapy followed by maintenance durvalumab according to clinical outcomes from the PACIFIC trial. An estimated 42.9% of patients randomly assigned to durvalumab remained alive at five years, and free of disease progression, thereby establishing a new benchmark for the standard of care in this setting.

A Retrospective Analysis Comparing VATS Cost Discrepancies and Outcomes in Primary Lung Cancer vs. Second Primary Lung Cancer Patients

This study aimed to compare the outcomes and cost differences between primary lung cancer (PLC) and second primary lung cancer (SPLC) patients who underwent video-assisted thoracoscopic surgery (VATS). This was a retrospective analysis of 124 patients with lung cancer stages I, II, and III who underwent VATS between January 2018 and January 2023. The patients were divided into two groups based on their cancer status that was matched by age and gender: the PLC group (n = 62) and the SPLC group (n = 62). The results showed that there was no significant difference in the clinical characteristics between the 2 groups, except for the Charlson Comorbidity Index (CCI), with a score above 3 in 62.9% of PLC patients and 80.6% among SPLC patients (p = 0.028). Regarding the surgical outcomes, the operative time for the VATS intervention was significantly higher in the SPLC group, with a median of 300 min, compared with 260 min in the PLC group (p = 0.001), varying by the cancer staging as well. The average duration of hospitalization was significantly longer before and after surgery among patients with SPLC (6.1 days after surgery), compared with 4.2 days after surgery in the PLC group (0.006). Regarding the cost analysis, the total hospitalization cost was significantly higher in the SPLC group (15,400 RON vs. 12,800 RON; p = 0.007). Lastly, there was a significant difference in the survival probability between the two patient groups (log-rank p-value = 0.038). The 2-year survival was 41.9% among PLC patients and only 24.2% among those with SPLC. At the 5-year follow-up, there were only 1.6% survivors in the SPLC group, compared with 11.3% in the PLC group (p-value = 0.028). In conclusion, this study found that VATS is a safe and effective surgical approach for both PLC and SPLC patients. However, SPLC patients have a higher VATS operating time and require more healthcare resources than PLC patients, resulting in higher hospitalization costs. These findings suggest that careful pre-operative evaluation and individualized surgical planning are necessary to optimize the outcomes and cost-effectiveness of VATS for lung cancer patients. Nevertheless, the 5-year survival remains very low and concerning.

Efficacy and safety of adjuvant EGFR TKI alone and in combination with chemotherapy for resected EGFR mutation-positive non-small cell lung cancer: A Bayesian network meta-analysis

Adjuvant therapy with epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI), alone or with chemotherapy, is used for early-stage non-small cell lung cancer (NSCLC) with EGFR mutations. A Bayesian meta-analysis was conducted to compare the efficacy and safety of adjuvant EGFR-TKI and adjuvant chemotherapy plus EGFR-TKI to determine whether additional adjuvant chemotherapy is beneficial. Randomised controlled trials and retrospective comparative studies examining the efficacy of adjuvant EGFR-TKI were searched from inception to July 2022. Ten studies (1344 patients) were analysed. Disease-free survival (DFS), overall survival (OS), and adverse events (AEs) were the endpoints. Our network meta-analysis demonstrated that EGFR-TKI monotherapy is noninferior to chemotherapy plus EGFR-TKI for DFS and OS in the adjuvant setting. However, combination treatment was associated with a higher AE incidence and severity. Adjuvant EGFR-TKI monotherapy seems a viable alternative to chemotherapy plus EGFR-TKI in patients with resected EGFR mutation-positive NSCLC.

Evaluation of pre-diagnostic blood protein measurements for predicting survival after lung cancer diagnosis

BACKGROUND

To evaluate whether circulating proteins are associated with survival after lung cancer diagnosis, and whether they can improve prediction of prognosis.

METHODS

We measured up to 1159 proteins in blood samples from 708 participants in 6 cohorts. Samples were collected within 3 years prior to lung cancer diagnosis. We used Cox proportional hazards models to identify proteins associated with overall mortality after lung cancer diagnosis. To evaluate model performance, we used a round-robin approach in which models were fit in 5 cohorts and evaluated in the 6th cohort. Specifically, we fit a model including 5 proteins and clinical parameters and compared its performance with clinical parameters only.

FINDINGS

There were 86 proteins nominally associated with mortality (p < 0.05), but only CDCP1 remained statistically significant after accounting for multiple testing (hazard ratio per standard deviation: 1.19, 95% CI: 1.10-1.30, unadjusted p = 0.00004). The external C-index for the protein-based model was 0.63 (95% CI: 0.61-0.66), compared with 0.62 (95% CI: 0.59-0.64) for the model with clinical parameters only. Inclusion of proteins did not provide a statistically significant improvement in discrimination (C-index difference: 0.015, 95% CI: -0.003 to 0.035).

INTERPRETATION

Blood proteins measured within 3 years prior to lung cancer diagnosis were not strongly associated with lung cancer survival, nor did they importantly improve prediction of prognosis beyond clinical information.

FUNDING

No explicit funding for this study. Authors and data collection supported by the US National Cancer Institute (U19CA203654), INCA (France, 2019-1-TABAC-01), Cancer Research Foundation of Northern Sweden (AMP19-962), and Swedish Department of Health Ministry.

Evaluation of the significance of subcarinal lymph node dissection in stage IB non‑small cell lung cancer

Lymph node dissection is used to treat early-stage lung cancer. The present study aimed to investigate if resecting the subcarinal lymph nodes affects prognosis of patients with stage IB non-small cell lung cancer (NSCLC). A total of 597 patients with stage IB NSCLC who underwent lung cancer surgery at Sun Yat-Sen University Cancer Center from January 1999 to December 2009 were included in the present study. The potential prognostic factors were evaluated using the Cox proportional hazard regression model. A total of 252 cases were obtained following propensity score matching (PSM). To compare overall survival (OS) and recurrence-free survival (RFS), Kaplan-Meier method and log-rank test were used. Among the 597 cases included, 185 did not undergo subcarinal lymph node resection, whereas 412 did. There were statistically significant differences between the two groups in terms of bronchial invasion, number of resected lymph node stations and resected lymph node numbers (P<0.05). Age, family history of cancer and the number of resected lymph nodes were prognostic factors for OS, whereas age and the number of resected lymph nodes were prognostic factors for RFS (P<0.05). Resection of subcarinal lymph nodes was not associated with OS and RFS. After PSM, survival analysis was recalculated using the Kaplan-Meier method and log-rank test; subcarinal lymph node resection was not statistically associated with OS and RFS. (P>0.05). For stage IB NSCLC, there was no statistically significant association between subcarinal lymph node resection and OS and RFS. Subcarinal lymph node resection in surgery of stage IB NSCLC may be considered optional.

A prognostic and immunotherapeutic predictive model based on the cell-originated characterization of tumor microenvironment in lung adenocarcinoma

Tumor microenvironment (TME) plays a crucial role in predicting prognosis and response to therapy in lung cancer. Our study established a prognostic and immunotherapeutic predictive model, the tumor immune cell score (TICS), by differentiating cell origins in lung adenocarcinoma (LUAD) based on the transcriptomic data of 2,510 patients in 14 independent cohorts, including 12 public datasets and two in-house cohorts. The high TICS was associated with prolonged overall survival (OS), especially in the early-stage LUAD. For the advanced-stage LUAD, high TICS predicted a superior OS in patients who were treated with immunotherapy instead of chemotherapy or TKI. The result suggested that TICS could serve as an indicator for the prognostic stratification management of patients in the early-stage LUAD, and as a potential guide for therapeutic decision-marking in the advanced-stage LUAD. Our findings provided an insight into prognosis stratification and potential guidance for treatment strategy selection.

UPF1 regulates FOXO1 protein expression by promoting PBK transcription in non-small cell lung cancer

Up-frameshift protein 1 (UPF1) is essential for nonsense-mediated messenger RNA decay (NMD). It is best known for its cytoprotective role in degrading aberrant and specific RNAs. UPF1 is dysregulated in multiple tumors, which correlates with poor prognosis and low overall survival.However,the role of UPF1 in lung cancer remains unclear.Current study shows that UPF1 could be a potential target for oncology therapies. The results also demonstrated the potential efficiency of UPF1 in regulating the proliferation and metastasis of lung cancer. Our findings suggest that those functions can be attributed to the inhibition of the stability of FOXO1 protein. In addition, PBK participates in the regulation of FOXO1 by UPF1.This result provides a new therapeutic strategy for lung cancer patients.

Artificial neural network-based diagnostic models for lung cancer combining conventional indicators with tumor markers

This study set out to establish a lung cancer diagnosis and prediction model uses conventional laboratory indicators combined with tumor markers, so as to help early screening and auxiliary diagnosis of lung cancer through a convenient, fast, and cheap way, and improve the early diagnosis rate of lung cancer. A total of 221 patients with lung cancer, 100 patients with benign pulmonary diseases, and 184 healthy subjects were retrospectively studied. General clinical data, the results of conventional laboratory indicators, and tumor markers were collected. Statistical Product and Service Solutions 26.0 was used for data analysis. The diagnosis and prediction model of lung cancer was established by artificial neural network - multilayer perceptron. After correlation and difference analysis, five comparison groups (lung cancer-benign lung disease group, lung cancer-health group, benign lung disease-health group, early-stage lung cancer-benign lung disease group, and early-stage lung cancer-health group) obtained 5, 28, 25, 16, and 25 valuable indicators for predicting lung cancer or benign lung disease, and then established five diagnostic prediction models, respectively. The area under the curve (AUC) of each combined diagnostic prediction model (0.848, 0.989, 0.949, 0.841, and 0.976) was higher than that of the diagnostic prediction model established only using tumor markers (0.799, 0.941, 0.830, 0.661, and 0.850), and the difference in the lung cancer-health group, the benign lung disease-health group, the early-stage lung cancer-benign lung disease group, and early-stage lung cancer-health group was statistically significant (P < 0.05). The artificial neural network-based diagnostic models for lung cancer combining conventional indicators with tumor markers have high performance and clinical significance in assisting the diagnosis of early lung cancer.

Multi-omics integrated circulating cell-free DNA genomic signatures enhanced the diagnostic performance of early-stage lung cancer and postoperative minimal residual disease

BACKGROUND

Liquid biopsy is a promising non-invasive alternative for cancer screening and minimal residual disease (MRD) detection, although there are some concerns regarding its clinical applications. We aimed to develop an accurate detection platform based on liquid biopsy for both cancer screening and MRD detection in patients with lung cancer (LC), which is also applicable to clinical use.

METHODS

We applied a modified whole-genome sequencing (WGS) -based High-performance Infrastructure For MultIomics (HIFI) method for LC screening and postoperative MRD detection by combining the hyper-co-methylated read approach and the circulating single-molecule amplification and resequencing technology (cSMART2.0).

FINDINGS

For early screening of LC, the LC score model was constructed using the support vector machine, which showed sensitivity (51.8%) at high specificity (96.3%) and achieved an AUC of 0.912 in the validation set prospectively enrolled from multiple centers. The screening model achieved detection efficiency with an AUC of 0.906 in patients with lung adenocarcinoma and outperformed other clinical models in solid nodule cohort. When applied the HIFI model to real social population, a negative predictive value (NPV) of 99.92% was achieved in Chinese population. Additionally, the MRD detection rate improved significantly by combining results from WGS and cSMART2.0, with sensitivity of 73.7% at specificity of 97.3%.

INTERPRETATION

In conclusion, the HIFI method is promising for diagnosis and postoperative monitoring of LC.

FUNDING

This study was supported by CAMS Innovation Fund for Medical Sciences, Chinese Academy of Medical Sciences, National Natural Science Foundation of China, Beijing Natural Science Foundation and Peking University People's Hospital.

Single-cell sequencing analysis fibrosis provides insights into the pathobiological cell types and cytokines of radiation-induced pulmonary fibrosis

BACKGROUND

Radiotherapy is an essential treatment for chest cancer. Radiation-induced pulmonary fibrosis (RIPF) is an almost irreversible interstitial lung disease; however, its pathogenesis remains unclear.

METHODS

We analyzed specific changes in cell populations and potential markers by using single-cell sequencing datasets from the Sequence Read Archive database, PERFORMED from control (0 Gy) and thoracic irradiated (20 Gy) mouse lungs at day 150 post-radiation. We performed IHC and ELISA on lung tissue and cells to validate the potential marker cytokines identified by the analysis on rat thoracic irradiated molds (30 Gy).

RESULTS

Single-cell sequencing analysis showed changes in abundance across cell types and at the single-cell level, with B and T cells showing the most significant changes in abundance. And four cytokines, CCL5, ICAM1, PF4, and TNF, were significantly upregulated in lung tissues of RIPF rats and cell supernatants after ionizing radiation.

CONCLUSION

Cytokines CCL5, ICAM1, PF4, and TNF may play essential roles in radiation pulmonary fibrosis. They are potential targets for the treatment of radiation pulmonary fibrosis.

Emerging evidence and treatment paradigm of non-small cell lung cancer

Research on biomarker-driven therapy and immune check-point blockade in non-small cell lung cancer (NSCLC) is rapidly evolving. The width and depth of clinical trials have also dramatically improved in an unprecedented speed. The personalized treatment paradigm evolved every year. In this review, we summarize the promising agents that have shifted the treatment paradigm for NSCLC patients across all stages, including targeted therapy and immunotherapy using checkpoint inhibitors. Based on recent evidence, we propose treatment algorithms for NSCLC and propose several unsolved clinical issues, which are being explored in ongoing clinical trials. The results of these trials are likely to impact future clinical practice.

Association of lung-intestinal microecology and lung cancer therapy

In recent years, the incidence of lung cancer is increasing. Lung cancer has become one of the most malignant tumors with the highest incidence in the world, which seriously affects people's health. The most important cause of death of lung cancer is metastasis. Therefore, it is crucial to understand the mechanism of lung cancer progression and metastasis. This review article discusses the physiological functions, pathological states and disorders of the lung and intestine based on the concepts of traditional Chinese medicine (TCM), and analyzes the etiology and mechanisms of lung cancer formation from the perspective of TCM. From the theory of "the exterior and interior of the lung and gastrointestinal tract", the theory of "the lung-intestinal axis" and the progression and metastasis of lung cancer, we proposed e "lung-gut co-treatment" therapy for lung cancer. This study provides ideas for studying the mechanism of lung cancer and the comprehensive alternative treatment for lung cancer patients.

No association of postoperative opioid usage with long-term surgery outcomes in patients with liver cancer: a population-based retrospective cohort study

ABSTRACT

Hepatocellular carcinoma (HCC) is a fatal cancer worldwide, and surgical resection remains the standard treatment. Postoperative opioid prescription has been believed to affect cancer recurrence through complex biological pathways. We conducted a retrospective cohort study using the Longitudinal Health Insurance Database of Taiwan to evaluate the relationship between postoperative opioid use and long-term surgical outcomes of patients with HCC. This study had a retrospective cohort design. In total, 812 patients older than 20 years who underwent hepatectomy because of HCC were included. The exposure group comprised patients who used opioids during hospitalization postoperatively. The comparison group included those who never used opioids during hospitalization postoperatively. A Cox proportional hazards model was used to evaluate the overall survival or recurrence-free survival rate between the opioid group and the nonopioid group. A total of 530 patients received opioids postoperatively and 282 patients did not. The hazard ratios of overall survival and recurrence-free survival were 1.10 (95% confidence interval [CI], 0.85-1.41) and 1.15 (95% CI, 0.91-1.46), respectively. Total postoperative opioids were converted into oral morphine milligram equivalents and then divided into 3 equal subgroups: low dose, <40 mg; medium dose, 40 to 144 mg; and high dose, ≥145 mg. The hazard ratios of overall survival were 0.88 (95% CI, 0.63-1.24) for the low-dose group, 1.27 (95% CI, 0.92-1.74) for the medium-dose group, and 1.14 (95% CI, 0.83-1.58) for the high-dose group. Postoperative opioids do not affect overall and recurrence-free survival in patients undergoing hepatectomy or liver transplantation because of HCC. Cancer recurrence should not be a clinical concern regarding postoperative opioid prescription.

Non‑diagnostic electromagnetic navigation bronchoscopy biopsy: Predictive factors and final diagnoses

The present study aimed to explore the final diagnosis of pulmonary nodules with an initial non-diagnostic result on electromagnetic navigation bronchoscopy (ENB) biopsy and the predictive factors for a non-diagnostic result. A total of 198 nodules from 194 patients that were suspected to be malignant tumors were included in the present study. The initial biopsy pathology results were divided into two groups: The diagnostic group and the non-diagnostic group. The diagnostic group was defined as a successful initial biopsy to obtain a diagnosis, including malignant and benign diagnoses. The non-diagnostic group was defined as a non-specific benign diagnosis, normal lung tissue or an unsuccessful biopsy. Among the 198 nodules, 139 (70.2%) were in the diagnostic group and 59 (29.8%) were in the non-diagnostic group. Predictive factors for a non-diagnostic biopsy included nodule size ≤1.5 cm [odds ratio (OR), 2.05; 95% confidence interval (CI), 1.03-4.09], non-solid nodules (OR, 2.71; 95% CI, 1.33-5.64) and nodules in the left lung (OR, 2.50; 95% CI, 1.27-4.92). Of the 59 non-diagnostic biopsies, 46 were finally confirmed to be malignant by surgery. Notably, non-diagnostic biopsies with non-solid nodules (OR, 7.64; 95% CI, 3.11-18.76) were more likely to be malignant. In conclusion, the predictive factors for a non-diagnostic biopsy were nodule size ≤1.5 cm and non-solid nodules. It was not rare for patients to finally be diagnosed with a malignancy in the non-diagnostic group. Therefore, care should be taken when the results of an ENB are non-diagnostic to prevent misdiagnosis.

Prognostic significance of eighth edition TNM stage criteria in combined small-cell lung cancer

Objectives

This study aimed to evaluate the prognostic significance of the eighth edition TNM stage criteria in patients with combined small-cell lung cancer (C-SCLC) on a population level.

Methods

Using the Surveillance, Epidemiology, and End Results (SEER) database, patients diagnosed with C-SCLC (histology code 8245) between the years 2004 and 2015 were identified. We performed a Kaplan–Meier analysis and used the multivariable cox regression proportional hazards model to obtain prognostic overall survival estimates for each group of patients.

Results

A total of 477 patients diagnosed with C-SCLC were identified. The T, N, M, TNM, and combined TNM stage status of the eighth edition were all significant prognostic factors for patients’ overall survivals, with the best discrimination identified in the combined stages. Surgery was also found to be a prognostic factor (HR =1.95, 95%CI =1.49-2.56, p&lt;0.01) for patients with C-SCLC.

Conclusions

The combined eighth edition of the TNM staging criteria shows reliable prognostic significance in patients with C-SCLC. Moreover, surgery might be significant for improving the patients’ prognosis.

Pretreatment Platelet Count is a Prognostic Marker in Lung Cancer: A Danish Registry-based Cohort Study

BACKGROUND

Thrombocytosis has been associated with a poor prognosis in a wide range of malignancies. However, the results have been conflicting for lung cancer. Therefore, we evaluated the prognostic value of platelet count in a large cohort of lung cancer patients.

PATIENTS AND METHODS

All lung cancer patients diagnosed in The Central Denmark Region from 2009 to 2018 were included in the study. Data from the Danish Lung Cancer Registry were combined with data from the clinical laboratory information system on pretreatment platelet count. Platelet count was defined as low, normal, or high based on being below, within, or above the reference intervals. The prognostic value of platelet count was assessed by the Cox proportional hazard model. C-statistics were conducted to investigate if the platelet count added additional prognostic value to existing prognostic markers.

RESULTS

Totally, 6,758 patients with non-small-cell lung cancer (NSCLC) and 1150 patients with small-cell lung cancer (SCLC) were included. Low and high platelet count were significantly associated with decreased overall survival (OS) in NSCLC patients (low: adjusted hazard ratio (HR)=1.75 (95% confidence interval [CI]: 1.49-2.06); high: adjusted HR=1.24 (95% CI: 1.16-1.33)). In SCLC patients, only low platelet count was significantly associated with decreased OS (adjusted HR = 2.71 [95% CI: 2.02-3.65]). C-statistics showed that the prognostic models were significantly improved by the addition of platelet count for both NSCLC and SCLC patients (P < .0001).

CONCLUSION

Low and high platelet count were adverse prognostic factors in NSCLC patients, while only low platelet count was a prognostic marker in SCLC patients.

Naples Prognostic Score as an Independent Predictor of Survival Outcomes for Resected Locally Advanced Non-Small Cell Lung Cancer Patients After Neoadjuvant Treatment

Background

The Naples Prognostic Score (NPS) can reflect patient's nutritional and inflammatory status, which is identified as a prognostic indicator for various malignant tumors. However, its significance in patients with resected locally advanced non-small cell lung cancer (LA-NSCLC) patients who receive neoadjuvant treatment remains unclear so far.

Methods

A total of 165 LA-NSCLC patients surgically treated from May 2012 to November 2017 were retrospectively investigated. The LA-NSCLC patients were divided into three groups according to NPS scores. The receiver operating curve (ROC) analysis was performed to reveal the discriminatory ability of NPS and other indicators for predicting the survival. The NPS and clinicopathological variables were further evaluated the prognostic value by univariate and multivariate Cox analysis.

Results

The NPS was related to age (P = 0.046), smoking history (P = 0.004), Eastern Cooperative Oncology Group (ECOG) score (P = 0.005), and adjuvant treatment (P = 0.017). Patients with high NPS scores had worse overall survival (OS) (group 1 vs 0, P = 0.006; group 2 vs 0, P < 0.001) and disease-free survival (DFS) (group 1 vs 0, P < 0.001; group 2 vs 0, P < 0.001). The ROC analysis demonstrated that NPS had better predictive ability than other prognostic indicators. Multivariate analysis revealed that NPS was independent prognostic indicator of OS (group 1 vs 0, hazard ratio [HR] =2.591, P = 0.023; group 2 vs 0, HR = 8.744, P = 0.001) and DFS (group 1 vs 0, HR =3.754, P < 0.001; group 2 vs 0, HR = 9.673, P < 0.001).

Conclusion

The NPS could be an independent prognostic indicator in patients with resected LA-NSCLC receiving neoadjuvant treatment and more reliable than the other nutritional and inflammatory indicators.

Distinct respiratory microbiota associates with lung cancer clinicopathological characteristics

Introduction

Commensal microbiota dysbiosis is associated with the development of lung cancer. The current studies about composition of respiratory microbiota in lung cancer patients yielded inconsistent results. This study aimed to examine the association between airway microbiota and lung cancer clinicopathological characteristics.

Methods

Surgically removed lesion tissues from 75 non-small cell lung cancer patients and 7 patients with benign pulmonary diseases were analyzed by 16S rRNA sequencing. Taxonomy, relative abundance, and diversity of respiratory microbiota were compared among lung cancer of different pathology and TNM stages. The effects of antibiotic and cigarette exposure on respiratory microbiota in lung cancer patients were also evaluated.

Results

Bacterial relative abundance and alpha- and beta-diversity analysis of lung microbiota showed significant differences among lung cancer of different pathology and benign pulmonary diseases. At the genus level, the abundance differences of 13 taxa between lung squamous cell carcinoma and lung adenocarcinoma, 63 taxa between lung squamous cell carcinoma and benign pulmonary diseases, and 4 taxa between lung adenocarcinoma and benign pulmonary diseases reached statistical significance. In contrast, diversity differences were not as significant across lung cancer of different stages. No significant differences were observed in tissue taxonomic abundances and diversity at all taxonomic levels between lung cancer patients with and without antibiotic exposure 3 months prior to surgery. For lung adenocarcinoma, respiratory bacterial abundance and diversity at all taxonomic levels did not show significant differences between smokers and non-smokers.

Conclusions

Our results confirm significantly differential respiratory microbiome taxa, abundance, and diversity in lung cancer of different pathology and some stages. Short-term antibiotic application might play a minor role in molding airway microbiota in lung cancer patients. Composition and diversity of respiratory microbiota in lung adenocarcinoma are not affected by cigarette exposure.

Post-operative and early oncological results of simple and complex full thoracoscopic segmentectomies for non-small-cell lung cancer

BACKGROUND

The role of video-assisted thoracoscopic segmentectomy in the treatment of clinical IA non-small-cell lung cancer is not well established. The aim of our retrospective analysis was to evaluate the oncological results of complex and simple video-assisted thoracoscopic segmentectomy.

METHODS

From 2015 to June 2020, data of n = 163 consecutive patients undergoing video-assisted thoracoscopic segmentectomy for solitary pulmonary nodule were analysed. The Kaplan-Meier method, log-rank test and Cox regression were used to estimate, compare survivals and identify risk factors of worse oncological outcomes.

RESULTS

In this period, n = 123 patients underwent video-assisted thoracoscopic segmentectomy for non-small-cell lung cancer: we performed n = 65 simple and n = 58 complex video-assisted thoracoscopic segmentectomy; n = 99 (80.5%) had a solid appearance on computed tomography scan and n = 78 (63.4%) a moderate-to-high [18F]-2-fluoro-2-deoxy-D-glucose (FDG)-positron emission tomographic computed tomography scan avidity. Mortality was 0%, and complications occurred in n = 14 (21.5%) and 9 (15.5%) patients. The median follow-up was 24 (range: 6-60) months and the 5-year overall survival was 96% without difference between video-assisted thoracoscopic segmentectomies (p = 0.16). Local recurrence developed in n = 2 (3.1%) and n = 3 (5.2%) patients; regional in n = 2 (3.1%) and 1 (1.8%) and distant in 8 (12.3%) and 2 (3.4%), without difference between video-assisted thoracoscopic segmentectomies (p = 0.51). The overall 5-year disease-free survival rate was 78%. Pathological upstaging was observed in n = 13 patients (nodal in n = 6, tumour in n = 7) and it was the only significant factor for worse disease-free survival at the multivariable analysis (hazard ratio: 2.43, 95% CI: 1.04-8.68, p = 0.049), value confirmed also in the group of intended video-assisted thoracoscopic segmentectomy (p = 0.047).

CONCLUSIONS

Pathological upstaging after simple or complex video-assisted thoracoscopic segmentectomy is a risk factor for recurrence and then video-assisted thoracoscopic segmentectomy should be considered an appropriate therapeutic option for selected stage IA non-small-cell lung cancer patients.

Increased levels of microRNA-320 in blood serum and plasma is associated with imminent and advanced lung cancer

Lung cancer (LC) incidence is increasing globally and altered levels of microRNAs (miRNAs) in blood may contribute to identification of individuals with LC. We identified miRNAs differentially expressed in peripheral blood at LC diagnosis and evaluated, in pre-diagnostic blood specimens, how long before diagnosis expression changes in such candidate miRNAs could be detected. We identified upregulated candidate miRNAs in plasma specimens from a hospital-based study sample of 128 patients with confirmed LC and 62 individuals with suspected but confirmed negative LC (FalsePos). We then evaluated the expression of candidate miRNAs in pre-diagnostic plasma or serum specimens of 360 future LC cases and 375 matched controls. There were 1663 miRNAs detected in diagnostic specimens, nine of which met our criteria for candidate miRNAs. Higher expression of three candidates, miR-320b, 320c, and 320d, was associated with poor survival, independent of LC stage and subtype. Moreover, miR-320c and miR-320d expression was higher in pre-diagnostic specimens collected within 2 years of LC diagnosis. Our results indicated that elevated levels of miR-320c and miR-320d may be early indications of imminent and advanced LC.

Evolution of treatment patterns and survival outcomes in patients with advanced non-small cell lung cancer treated at Frankfurt University Hospital in 2012-2018

BACKGROUND

Immune checkpoint inhibitors (ICIs) have improved outcomes for patients with advanced non-small cell lung cancer (NSCLC) versus chemotherapy in clinical trials. In Germany, ICIs have been used clinically since 2015 for patients with advanced/metastatic NSCLC without epidermal growth factor receptor (EGFR)/anaplastic lymphoma kinase (ALK) aberrations. As part of I-O Optimise, a multinational research program utilizing real-world data on thoracic malignancies, we describe real-world treatment patterns and survival following reimbursement of ICIs for advanced NSCLC in Germany.

METHODS

This retrospective cohort study included patients with locally advanced/metastatic NSCLC without known EGFR/ALK aberrations who received a first line of therapy at Frankfurt University Hospital between January 2012 and December 2018, with follow-up to December 2019 or death, whichever occurred first. Using electronic medical records, treatment patterns and survival outcomes were described by histology (squamous cell [SQ]; non-squamous cell [NSQ]/other) and time period (pre- and post-ICI approval).

RESULTS

Among eligible patients who started first-line treatment, 136 (pre-ICI) and 126 (post-ICI) had NSQ/other histology, and 32 (pre-ICI) and 38 (post-ICI) had SQ histology. Use of an ICI in the NSQ/other cohort increased from 5.9% (all second- or third-line) in the pre-ICI period to 57.1% (22.2% in first-line, including 13.5% as monotherapy and 8.7% combined with chemotherapy) in the post-ICI period. This was paralleled by a significant (P < 0.0001) prolongation of median (95% CI) OS from 9.4 (7.1-11.1) to 14.8 (12.7-20.5) months between the pre-ICI and post-ICI periods. A similar increase in the uptake of ICI was observed for the SQ cohort (from 3.1% pre-ICI [fourth-line] to 52.6% post-ICI [28.9% as first-line, including 15.8% as monotherapy and 13.2% combined with chemotherapy]); however, analysis of survival outcomes was limited by small group sizes.

CONCLUSION

These real-world data complement clinical trial evidence on the effectiveness of ICIs in patients with advanced NSCLC and NSQ/other histology in Germany.

Added prognostic value of molecular imaging parameters over proliferation index in typical lung carcinoid: an [18F]FDG PET/CT and SSTR imaging study

OBJECTIVE

This study was performed to evaluate the prognostic meaning of volumetric and semi-quantitative parameters measured using [18F]FDG PET/CT and somatostatin receptor (SSTR) imaging in patients with typical lung carcinoid (TC), and their relationship with proliferative index (Ki67).

METHODS

We retrospectively reviewed 67 patients (38-94 years old, mean: 69.7) with diagnosis of TC who underwent [18F]FDG PET/CT and/or SSTR scintigraphy/SPECT with [111In]DTPA-Octreotide plus contrast-enhanced CT (CECT) at staging evaluation. All patients had Ki67 measured and a follow-up (FU) of at least 1 year. SSTR density (SSTRd) was calculated as the percentage difference of tumor/non-tumor ratio at 4 and 24 h post-injection. At PET/CT, metabolic activity was measured using SUVmax and SUVratio; volumetric parameters included MTV and TLG of the primary tumor, measured using the threshold SUV41%. ROC analysis, discriminant analysis and Kaplan-Meier curves (KM) were performed.

RESULTS

11 patients died during FU. Disease stage (localized versus advanced), SUVratio, SUVmax, Ki67, MTV and TLG were significantly higher in non-survivors than in survivors. ROC curves resulted statistically significant for Ki67, SUVratio, SUVmax, MTV and TLG. On multivariate analysis, stage of disease and TLG were significant independent predictors of overall survival (OS). In KM curves, the combination of disease stage and TLG identified four groups with significantly different outcomes (p < 0.005). Metabolic activity (SUVmax and SUVratio) was confirmed as significant independent prognostic factor for OS also in patients with advanced disease, with the best AUC using SUVmax. In patients with advanced and localized disease, SSTRd proved to be the best imaging prognostic factor for progression and for disease-free survival (DFS), respectively. In localized disease, SSTRd 31.5% identified two subgroups of patients with significant different DFS distribution and in advanced disease, a high cutoff value (58.5%) was a significant predictor of adverse prognosis.

CONCLUSION

Volumetric and semi-quantitative parameters measured using [18F]FDG PET/CT and SSTR imaging combined with Ki67 may provide a reference for prognosis evaluation of patients with TC, to better stratify risk groups with the goal of developing individualized therapeutic strategies.

Surgical resection versus radiotherapy for clinical stage IA lung cancer ≤1 cm in size: A population-based study

OBJECTIVE

With the increasing incidence of stage IA lung cancer ≤1 cm in size, the optimal primary treatment remains to be controversial, and thus, we compared the survival of these patients treated with radiotherapy, wedge resection, segmentectomy, or lobectomy in a large population.

METHODS

We identified patients with stage IA lung cancer ≤1 cm in size between 2004 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) database. We compared the overall survival (OS) via Kaplan-Meier analysis and conducted Cox regression analysis via propensity score matching (PSM) method to identify the relative hazard ratio (HR) and difference of OS among these treatments in the subgroup stratified by four variables (age, total number of tumors, pathological grade, and histology).

RESULTS

A total of 5435 patients were included with a median age of 68 years (range, 6-94 years), of which 2131 (39.2%) were male, and 3510 (64.6%) were adenocarcinoma. The 5-year OS rate was 67.1%, 34.5%, 61.6%, 72.1%, and 75.0% for the entire study population, radiotherapy, wedge resection, segmentectomy, and lobectomy, respectively. In PSM analysis, wedge resection and segmentectomy were all superior to radiotherapy (P < 0.001), and segmentectomy was superior to wedge resection (P = 0.043), while segmentectomy was comparable with lobectomy (P = 0.058). In patients with multiple tumors, radiotherapy brought similar survival to surgery (wedge resection versus radiotherapy, P = 0.323; segmentectomy versus radiotherapy, P = 0.170; lobectomy versus radiotherapy, P = 0.796).

CONCLUSIONS

Among stage IA lung cancer with ≤1 cm, segmentectomy and lobectomy were identified as the potential effective treatments, with segmentectomy more preferred, while radiotherapy would be recommended in those with multiple tumors, which requires further verification.

Systems biology strategy and experimental validation to uncover the pharmacological mechanism of Xihuang Pill in treating non-small cell lung cancer

BACKGROUND

Non-small cell lung cancer (NSCLC) accounts for almost 85% of lung cancer-related deaths worldwide. Xihuang Pill (XHP) is a representative anticancer Chinese patented medicine used to treat NSCLC in China. However, to date, a systematic analysis of XHP's antitumour effects and its impact on the immune microenvironment has not been performed.

PURPOSE

Based on the systems biology strategy and experimental validation, the present study aimed to investigate the pharmacological mechanisms involved in treating NSCLC with XHP.

METHODS

A subcutaneous tumour model was established to evaluate XHP's tumour-inhibitory effect in BALB/c nude mice. RNA sequencing (RNA-seq) and bioinformatics analysis were conducted to identify differentially expressed genes (DEGs) and signalling pathways related to XHP treatment. Network analysis based on network pharmacology and protein-to-protein networks was applied to identify the compounds and genes targeted by XHP. External data from the TCGA-NSCLC cohort were used to verify the clinical significance of XHP-targeted genes in NSCLC. The expression of survival-related candidate genes after XHP treatment was verified via qPCR. The protein expression of calcium voltage-gated channel subunit alpha 1C (CACNA1C) in different NSCLC cell lines was analysed in the Human Protein Atlas database (HPA) and DepMap Portal. Using the Estimation of STromal and Immune cells in MAlignant Tumour tissues using Expression data (ESTIMATE) algorithm and the single-sample gene set enrichment analysis (ssGSEA) algorithm uncovered the role of CACNA1C in the NSCLC tumour microenvironment (TME).

RESULTS

XHP (2 g/kg/d) significantly inhibited the growth of transplanted A549 tumours. RNA-seq identified a total of 529 DEGs (189 upregulated and 340 downregulated). In addition, 542 GO terms, 41 significant KEGG pathways, 9 upregulated hallmarks pathways, and 18 downregulated hallmark pathways were enriched. These GO terms and signalling pathways were closely related to cell proliferation, immunity, energy metabolism, and the inflammatory response of NSCLC. In addition, XHP's network pharmacology analysis identified 301 compounds and 1,432 target genes. A comprehensive strategic analysis identified CACNA1C as a promising gene by which XHP targets and regulates the TME of NSCLC, benefiting patient survival. CACNA1C expression was positively correlated with both the immune score and stromal score but negatively correlated with the tumour purity score. Additionally, CACNA1C expression was significantly correlated with the infiltration levels of 15 types of immune cells and the expression levels of 6 well-known checkpoint genes.

CONCLUSIONS

Our results show that by regulating the pathways associated with cell proliferation and immunity, XHP can suppress cancer cell growth in NSCLC. Additionally, XHP may increase the expression of CACNA1C to suppress immune cell infiltration and regulate the expression of checkpoint-related genes, thereby improving the overall survival of NSCLC patients.

Detection of Single Non-small Cell Lung Cancer Cell Multidrug Resistance with Single-Cell Bioanalyzer

Non-small cell lung cancer (NSCLC) is one of the leading causes of cancer death in the world. Despite the development of various lung cancer treatment methods, including surgery, radiation therapy, endocrine therapy, immunotherapy, and gene therapy, chemotherapy remains the most common approach for treating cancer. The risk of tumors acquiring resistance to chemotherapy remains a significant hurdle to the use of this approach for the successful treatment of various types of cancer. The majority of cancer-related deaths are related to metastasis. Circulating tumor cells (CTCs) are cells that have been detached from the primary tumor or have metastasized and entered the circulation. CTCs can cause metastases in various organs by reaching them through the bloodstream. The CTCs exist in peripheral blood as single cells or as oligoclonal clusters of tumor cells along with platelets and lymphocytes. The detection of CTCs is an important component of liquid biopsy which aids in the diagnosis, treatment, and prognosis of cancer. Here, we describe a method for extracting CTCs from the tumor of patients and using the microfluidic single-cell technique to study the inhibition of multidrug resistance due to drug efflux on a single cancer cell, to propose novel methods that can provide clinicians with more appropriate choices in their diagnostic and treatment approaches.

Prognostic value of the modified advanced lung cancer inflammation index in overweight or obese patients with lung cancer: Results from a multicenter study

BACKGROUND

This study aimed to explore the relationship between the modified advanced lung cancer inflammation index (mALI) and the survival of overweight or obese patients with lung cancer (LC).

METHODS

The mALI was defined as the appendix skeletal muscle index multiplied by the serum albumin level/neutrophil-to-lymphocyte ratio. The cutoff values for males and females were assessed separately. Survival curves were estimated using the Kaplan-Meier method, and statistical differences were determined using the log-rank test. Univariate and multivariate Cox proportional hazards models were used for the survival analysis. The area under the receiver operating characteristic curve was used to compare the prognostic value of mALI with other nutrition assessment indicators.

RESULTS

The mALI cut-offs for males and females were 8.59 and 8.26, respectively. Malnutrition, high systemic inflammation, and advanced stage for overweight or obese LC patients were found to be correlated with a low mALI. The median survival of patients with a low mALI was significantly lower than patients with a high mALI by approximately 25 months. In addition, the mALI can be used as an effective supplement to the traditional pathological stage. Multivariable analysis found that mALI was an independent prognostic factor of overall survival (hazard ratio = 0.531; 95% CI, 0.402-0.700; P < 0.001). The prognostic predictive performance of mALI was superior to that of other nutrition assessment indicators.

CONCLUSIONS

The mALI was an independent risk factor for the prognosis of overweight or obese LC patients, and a useful supplement to the pathological stage.

Safety and effectiveness of neoadjuvant PD-1 inhibitor (toripalimab) plus chemotherapy in stage II-III NSCLC (LungMate 002): an open-label, single-arm, phase 2 trial

BACKGROUND

This trial aimed to analyse the safety, effectiveness and transcriptomic characteristics of neoadjuvant toripalimab plus chemotherapy in II-III non-small-cell lung cancer (NSCLC).

METHODS

Patient eligibility mainly involved treatment-naive, clinical stage II-III and wild-type EGFR/ALK NSCLC. The patients received 2-4 cycles of toripalimab (240 mg q3w) plus carboplatin-based chemotherapy. After the second treatment cycle, all patients were re-evaluated by a multidisciplinary team. Candidates eligible for surgery underwent surgery; otherwise, patients received the remaining treatment cycles. The primary endpoints were safety and major pathological response (MPR). Secondary endpoints were R0 resection rate, progression-free survival (PFS) and overall survival (OS). RNA sequencing of baseline and post-treatment samples was conducted to explore the transcriptomic characteristics of the therapeutic response.

RESULTS

In total, 50 eligible patients were enrolled, including 12 (24.0%) with resectable disease (RD) and 38 (76.0%) with potentially resectable disease (PRD). Treatment-related adverse events (TRAEs) were recorded in 48 cases (96.0%). Severe TRAEs occurred in 3 (6.0%) cases, including myelosuppression, drug-induced liver injury and death related to haemoptysis. The objective response rate (ORR) was 76.0%, with 8 (16.0%) patients having a complete response (CR), 30 (60.0%) partial response (PR), 10 (20.0%) stable disease (SD) and 2 (4.0%) progressive disease (PD). Surgery could be achieved in 12 (100%) patients with RD and 25 (65.8%) with PRD; 1 (2.0%) with PRD refused surgery. Therefore, R0 resection was performed for all 36 (100%) patients who underwent surgery; 20 (55.6%) achieved MPR, including 10 (27.8%) with a complete pathological response (pCR). The CHI3L1 (chitinase-3-like protein 1) immunohistochemistry (IHC) expression of baseline tumour samples could predict the therapeutic response (AUC=0.732), OS (P=0.017) and PFS (P=0.001). Increased PD-1 expression, T cell abundance and immune-related pathway enrichment were observed in post-treatment samples compared to baseline in the response group (CR+PR) but not in the non-response group (SD+PD).

CONCLUSIONS

Neoadjuvant toripalimab plus chemotherapy was safe and effective, with a high MPR and manageable TRAEs for II-III NSCLC, even converting initially PRD to RD. Disparate transcriptomic characteristics of therapeutic efficiency were observed, and CHI3L1 expression predicted therapeutic response and survival.

TRIAL REGISTRATION

ChiCTR1900024014, June 22, 2019.

Treatment Patterns and Outcomes in Resected Early-stage Non-small Cell Lung Cancer: An Analysis of the SEER-Medicare Data

BACKGROUND

As the non-small cell lung cancer (NSCLC) adjuvant treatment landscape evolves, an evaluation of treatment patterns and outcomes of patients with early-stage, resected NSCLC eligible for adjuvant treatment in routine clinical practice is needed to better understand the unmet needs in this patient population.

MATERIALS AND METHODS

Data from the Surveillance, Epidemiology, and End Results (SEER)-Medicare database (2007-2019) were used to identify patients with newly diagnosed stage IB (tumor size ≥4cm)-IIIA (AJCC 7th edition) NSCLC who received primary surgery (index date). We assessed adjuvant treatment patterns, real-world disease-free survival (rwDFS; time from index date to first recurrence or death) and overall survival (OS; time from index date to death), and loco-regional recurrence pattern and treatment distribution.

RESULTS

Among 1761 patients with primary surgery, mean age was 73.8 years; 47.9% were male; and 83.9% were white. Approximately 41% of patients received adjuvant chemotherapy; median time from surgery to adjuvant chemotherapy initiation was 48 days, and the most frequently observed adjuvant chemotherapy regimen was carboplatin+paclitaxel (24.5%). In the overall population, median rwDFS was 24.8 months and OS was 76.7 months; 5-year rwDFS and OS rates were 29.3% and 57.5%, respectively. Among 392 patients with loco-regional recurrence, the most frequently observed treatment was curative radiation monotherapy (28.2%).

CONCLUSION

Despite clinical guideline recommendations, rate of adjuvant chemotherapy among patients with resected early-stage NSCLC was low in clinical practice. Overall, among patients with early-stage NSCLC treated with conventional primary surgery, poor survival outcomes were observed, highlighting the need for and importance of more effective adjuvant treatments.

Prognostic Factors in Patients with Clinic Locally Advanced T4 Lung Cancer: Surgical Considerations

Background Inclusion of surgery in the treatment of T4 lung cancer has been a debate for the last two decades. The aim of this study is to investigate the potential prognostic factors which could affect the outcome.

Methods Fifty-seven clinical T4 non-small cell lung carcinoma (NSCLC) patients out of 716 lung resections, who were operated at a single institution in 7 years period, were included in this study. Patients are grouped into three groups as patients with neoadjuvant treatment group (group 1 n: 16), salvage surgery group (surgery after 3 months of definitive chemotherapy and radiotherapy) (group 2 n: 14), and straightforward surgery group (group 3 n: 27) with adjuvant treatment. Groups were analyzed and compared in terms of postoperative complications, 30 days of mortality, disease free survival, and overall survival.

Results Mean overall survival (OS) was 48.43 ± 4.4 months and mean disease-free survival (DFS) 40.55 ± 4.46 months for all patients. Thirty days mortality was 5.2% and complication rates were 63.1%. Two years OS was 61.4 ± 6.4%, DFS was 58.1 ± 7.8%. Group 1, Group 2, and Group 3 patients had mean 39.14 ± 5.6, 44.7 ± 7.1, and 62.9 ± 4.8 months for OS (p: 0.09), and 29.6 ± 7.2, 38.4 ± 9.1, and 46.9 ± 6 months for DFS (p: 0.27). Patients who received blood transfusion showed significantly worse outcomes (p: 0.001 for DFS and p: 0.004 for OS).

Conclusion According to our outcomes, surgery should be included in the treatment of clinical T4 lung cancer when physiologically and oncologically possible with careful patient selection. This study demonstrates that patients receiving straightforward surgery have longer survival, in spite of higher perioperative mortality rate. Risks and benefits should be considered carefully.

Stage Migration and Lung Cancer Incidence After Initiation of Low-Dose Computed Tomography Screening

INTRODUCTION

Despite evidence from clinical trials of favorable shifts in cancer stage and improvements in lung cancer-specific mortality, the effectiveness of lung cancer screening (LCS) in clinical practice has not been clearly revealed.

METHODS

We performed a multicenter cohort study of patients diagnosed with a primary lung cancer between January 1, 2014, and September 30, 2019, at one of four U.S. health care systems. The primary outcome variables were cancer stage distribution and annual age-adjusted lung cancer incidence. The primary exposure variable was receipt of at least one low-dose computed tomography for LCS before cancer diagnosis.

RESULTS

A total of 3678 individuals were diagnosed with an incident lung cancer during the study period; 404 (11%) of these patients were diagnosed after initiation of LCS. As screening volume increased, the proportion of patients diagnosed with lung cancer after LCS initiation also rose from 0% in the first quartile of 2014 to 20% in the third quartile of 2019. LCS did not result in a significant change in the overall incidence of lung cancer (average annual percentage change [AAPC]: -0.8 [95% confidence interval (CI): -4.7 to 3.2]) between 2014 and 2018. Stage-specific incidence rates increased for stage I cancer (AAPC = 8.0 [95% CI: 0.8-15.7]) and declined for stage IV disease (AAPC = -6.0 [95% CI: -11.2 to -0.5]).

CONCLUSIONS

Implementation of LCS at four diverse health care systems has resulted in a favorable shift to a higher incidence of stage I cancer with an associated decline in stage IV disease. Overall lung cancer incidence did not increase, suggesting a limited impact of overdiagnosis.

Glutathione peroxidase 2 overexpression promotes malignant progression and cisplatin resistance of KRAS‑mutated lung cancer cells

Kirsten rat sarcoma viral oncogene homolog (KRAS) aberrations frequently occur in patients with lung cancer. Oncogenic KRAS is characterized by excessive reactive oxygen species (ROS) accumulation, thus, ROS detoxification may contribute to KRAS‑driven lung tumorigenesis. In the present study, the influence of glutathione peroxidase 2 (GPX2) on malignant progression and cisplatin resistance of KRAS‑driven lung cancer was explored. The RNA sequencing data from TCGA lung cancer samples and GEO database were downloaded and analyzed. The effects of GPX2 on KRAS‑driven lung tumorigenesis were evaluated by western blotting, cell viability assay, soft agar assay, Transwell assay, tumor xenograft model, flow cytometry, BrdU incorporation assay, transcriptome RNA sequencing, luciferase reporter assay and RNA immunoprecipitation. In the present study, GPX2 was upregulated in patients with non‑small cell lung carcinoma (NSCLC), and positively correlated with poor overall survival. Ectopic GPX2 expression facilitated malignant progression of KRAS^G12C‑transformed BEAS‑2B cells. Moreover, GPX2 overexpression promoted growth, migration, invasion, tumor xenograft growth and cisplatin resistance of KRAS‑mutated NSCLC cells, while GPX2 knockdown exhibited the opposite effects. GPX2 overexpression reduced ROS accumulation and increased matrix metalloproteinase‑1 (MMP1) expression in KRAS‑mutated NSCLC cells. In addition, GPX2 was directly targeted by miR‑325‑3p, while MMP1 knockdown or miR‑325‑3p overexpression partially abrogated the effects of GPX2 in NSCLC cells. In conclusion, the results indicated that GPX2 facilitated malignant progression and cisplatin resistance of KRAS‑driven lung cancer, and inhibition of GPX2 may be a feasible strategy for lung cancer treatment, particularly in patients with active KRAS mutations.

Chemoradiation-induced pneumonitis in patients with unresectable stage III non-small cell lung cancer: A systematic literature review and meta-analysis

INTRODUCTION

High-grade pneumonitis is a severe and potentially life-threatening adverse event associated with concurrent chemoradiation (cCRT) in patients with non-small cell lung cancer (NSCLC). The aim of this study was to summarize and quantify the incidence of severe (grade 3-5) cCRT-induced pneumonitis in unresectable stage III NSCLC patients.

METHODS

A systematic literature review and meta-analysis were performed in accordance with PRISMA guidelines. Published literature was searched for randomized controlled trials (RCTs), observational studies, and non-randomized trials from 2014 to April 2020. The primary outcome of interest was incidence of grade 3-5 pneumonitis.

RESULTS

Included were 17 studies for the review and 11 for the meta-analysis (1,788 participants); all studies examined radiation-related pneumonitis (RP). The pooled incidence of cCRT-induced grade 3-5 RP in unresectable stage III NSCLC patients was estimated to be 3.62% [95% confidence interval (CI): 1.65-6.21] in RCTs, 5.98% [95% CI: 2.26-12.91] in observational studies, and 7.85% [95% CI: 4.08-13.10] in observational studies using platinum-based doublet chemotherapies.

CONCLUSION

These results suggest the incidence of severe and fatal RP in patients with unresectable stage III NSCLC treated with cCRT ranges from 3.62% to 7.85%, with incidence varying by study design and chemotherapy regimen. Estimates of RP incidence were higher in the real-world setting compared to RCTs. These results can be used to contextualize the baseline risk of cCRT-induced pneumonitis in unresectable stage III NSCLC to better understand the adverse event of pneumonitis associated with novel immunotherapy treatments indicated for concomitant use with this modality.

The combination of a seven-autoantibody panel with computed tomography scanning can enhance the diagnostic efficiency of non-small cell lung cancer

Background

Non-small cell lung cancer (NSCLC) is still of concern in differentiating it from benign disease. This study aims to validate the diagnostic efficacy of a novel seven-autoantibody (7-AAB) panel for the diagnosis of NSCLC.

Methods

We retrospectively enrolled 2650 patients who underwent both the 7-AAB panel test and CT scanning. We compared the sensitivity, specificity, and PPV of 7-AAB, CT, and PET-CT in the diagnosis of NSCLC in different subgroups. Then, we established a nomogram based on CT image features and the 7-AAB panel to further improve diagnostic efficiency. Moreover, we compared the pathological and molecular results of NSCLC patients in the 7-AABs positive group and the negative group to verify the prognostic value of the 7-AAB panel.

Results

The strategy of a “both-positive rule” combination of 7-AABs and CT had a specificity of 95.4% and a positive predictive value (PPV) of 95.8%, significantly higher than those of CT or PET-CT used alone (P&lt;0.05). The nomogram we established has passed the calibration test (P=0.987&gt;0.05) with an AUC of 0.791. Interestingly, it was found that the 7-AABs positive group was associated with higher proportion of EGFR mutations (P&lt;0.001), lower pathological differentiation degrees (P=0.018), more advanced pathological stages (P=0.040) and higher Ki-67 indexes (P=0.011) in patients with adenocarcinoma.

Conclusion

This study shows that combination of a 7-AAB panel with CT has can significantly enhance the diagnostic efficiency of lung cancer. Moreover, the 7-AAB panel also has potential prognostic value and has reference significance for the formulation of the treatment plan.

Characterizing microbiota and metabolomics analysis to identify candidate biomarkers in lung cancer

Background

Lung cancer is the leading malignant disease and cause of cancer-related death worldwide. Most patients with lung cancer had insignificant early symptoms so that most of them were diagnosed at an advanced stage. In addition to factors such as smoking, pollution, lung microbiome and its metabolites play vital roles in the development of lung cancer. However, the interaction between lung microbiota and carcinogenesis is lack of systematically characterized and controversial. Therefore, the purpose of this study was to excavate the features of the lung microbiota and metabolites in patients and verify potential biomarkers for lung cancer diagnosis.

Methods

Lung tissue flushing solutions and bronchoalveolar lavage fluid samples came from patients with lung cancer and non-lung cancer. The composition and variations of the microbiota and metabolites in samples were explored using muti-omics technologies including 16S rRNA amplicon sequencing, metagenomics and metabolomics.

Results

The metabolomics analysis indicated that 40 different metabolites, such as 9,10-DHOME, sphingosine, and cysteinyl-valine, were statistically significant between two groups (VIP > 1 and P < 0.05). These metabolites were significantly enriched into 11 signal pathways including sphingolipid, autophagy and apoptosis signaling pathway (P < 0.05). The analysis of lung microbiota showed that significant changes reflected the decrease of microbial diversity, changes of distribution of microbial taxa, and variability of the correlation networks of lung microbiota in lung cancer patients. In particular, we found that oral commensal microbiota and multiple probiotics might be connected with the occurrence and progression of lung cancer. Moreover, our study found 3 metabolites and 9 species with significantly differences, which might be regarded as the potential clinical diagnostic markers associated with lung cancer.

Conclusions

Lung microbiota and metabolites might play important roles in the pathogenesis of lung cancer, and the altered metabolites and microbiota might have the potential to be clinical diagnostic markers and therapeutic targets associated with lung cancer.

Neoadjuvant immunotherapy combined with chemotherapy significantly improved patients' overall survival when compared with neoadjuvant chemotherapy in non-small cell lung cancer: A cohort study

Background

Programmed death-1 (PD-1)/programmed death ligand-1 (PD-L1) inhibitors displayed considerable advantages in neoadjuvant therapy of non-small cell lung cancer (NSCLC), but the specific application of neoadjuvant immunotherapy has not been well determined, and the long-term prognostic data of neoadjuvant immunochemotherapy combined with surgical resection of NSCLC remains limited. In this study, we intended to assess the efficacy of the neoadjuvant therapy of the PD-1 inhibitor and long-term prognosis in patients with resectable NSCLC.

Methods

We retrospectively analyzed NSCLC surgical patients treated with neoadjuvant therapy in our hospital, and divided them into a neoadjuvant chemotherapy group and a neoadjuvant immunotherapy combined with chemotherapy group. The propensity score matching method was used to evaluate the effectiveness of immunotherapy combined with chemotherapy in the treatment of resectable lung cancer, and the long-term prognosis of these two groups was compared.

Results

A total of 62 cases were enrolled, including 20 patients (20/62, 32.26%) in the immunotherapy group and 42 patients (42/62, 67.74%) in the chemotherapy group. The clinical baseline data of these two groups were balanced. In the immunotherapy group, all patients had tumor regression in imaging finding (tumor regression ratio: 11.88% - 75.00%). In the chemotherapy group, 30 patients had tumor regression (tumor regression ratio: 2.70% - 58.97%). The R0 removal rates of cancers were comparable between the immunotherapy group and chemotherapy group (19/20, 95.00% vs. 39/42, 92.86%, P=1.000). The two groups were balanced in complete minimally invasive surgery, pneumonectomy, operative duration, blood loss, postoperative complications, and hospital stay. The immunotherapy group had more sleeve resection (36.84% vs. 10.26%, p=0.039) including bronchial sleeve and vascular sleeve, higher pathological complete response (pCR) rate (57.89% vs. 5.13%, P<0.001) and major pathologic response (MPR) rate (78.95% vs. 10.26%, P<0.001). There were no differences in survival curves for: smoker and non-smoker, squamous cell carcinoma and adenocarcinoma, or right lung cancer and left lung cancer. Moreover, patients who achieved MPR (including pCR) had significantly better overall survival (OS) and disease-free survival (DFS). Patients in immunotherapy group had significantly better OS and longer DFS than those in chemotherapy group.

Conclusions

In conclusion, neoadjuvant immunotherapy combined with chemotherapy can provide better OS and DFS and improving pCR and MPR rates by shrinking tumors.This study has been registered in the Chinese Clinical Trial Registry, number ChiCTR2200060433. http://www.chictr.org.cn/edit.aspx?pid=170157&htm=4.

Reconsidering T component of cancer staging for T3/T4 non-small-cell lung cancer with additional nodule

Background

Non-small-cell lung cancer (NSCLC) with additional nodule(s) located in the same lobe or ipsilateral different lobe were designated as T3 and T4, respectively, which was merely defined by anatomical location of additional nodule(s), regardless of other prognostic factors.

Methods

A total of 4711 patients with T1-4, N0-2, M0 NSCLC undergoing complete resection were identified between 2009 and 2014, including 145 patients with additional nodule(s) in the same lobe (T3-Add) and 174 patients with additional tumor nodule(s) in ipsilateral different lobe (T4-Add). Overall survival (OS) was compared using multivariable Cox regression models and propensity score matching analysis (PSM).

Results

T3-Add patients [T3-Add versus T3, hazard ratio (HR), 0.695; 95% confidence interval (CI), 0.528-0.915; p = 0.009] and comparable OS with T2b patients through multivariable Cox analysis, and further validated by PSM. T4-Add patients carried a wide spectrum of prognosis, and the largest diameter of single tumor was screened out as the most effective indicator for distinguishing prognosis. T4-Add (⩽3 cm) patients had better OS than T4 patients [T4-Add (⩽3 cm) versus T4, HR, 0.629; 95% CI, 0.455-0.869; p = 0.005] and comparable OS with T3 patients. And T4-Add (>3 cm) patients had comparable OS with T4 patients.

Conclusion

NSCLC patients with additional nodule(s) in the same lobe and ipsilateral different lobe (maximum tumor diameter ⩽ 3 cm) should be further validated and considered restaging as T2b and T3 in the forthcoming 9th tumor, node, and metastasis staging system.

Construction and Validation of Prognosis Nomogram for Metastatic Lung Squamous Cell Carcinoma: A Population-Based Study

Purpose: This study aimed to establish a nomogram to predict overall survival in lung squamous cell carcinoma patients with metastasis for clinical decision-making. Methods: We investigated lung squamous cell carcinoma patients diagnosed with stage M1 in the Surveillance, Epidemiology, and Final Results database between 2010 and 2015. They were divided into training cohort and validation cohort. In the training cohort, statistically significant prognostic factors were identified using univariate and multivariate Cox regression analysis, and an individualized nomogram model was developed. The model was evaluated by C-index, area under the curve, calibration plot, decision curve analysis, and risk group stratification. Results: In total, 9910 patients were included in our study, including 6937 in the training cohort and 2937 in the validation cohort. Factors containing age, T stage, N stage, bone metastasis, brain metastasis, liver metastasis, surgery, chemotherapy, and radiotherapy were independent prognostic factors for overall survival and were used in the construction of the nomogram. The C-index in the training cohort and validation cohort were 0.711 (95% confidenc interval: 0.705-0.717) and 0.707 (95% confidenc interval: 0.697-0.717), respectively. The time-dependent area under the curve of both groups was higher than 0.7 within 5 years. Calibration plots indicated that the nomogram-predicted survival was consistent with the recorded 6-month, 1-year, and 2-year prognoses. Furthermore, decision curve analysis revealed that the nomogram was clinically useful and had a better discriminative ability to recognize patients at high risk than the TNM criteria-based tumor staging. And then we developed an overall survival risk classification system based on the nomogram total points for each patient, which divided all patients into a high-risk group and a low-risk group. Finally, we implemented this nomogram in a free online tool. Conclusion: We constructed a nomogram and a corresponding risk classification system predicting the overall survival of lung squamous cell carcinoma patients with metastasis. These tools can assist in patients’ counseling and guide treatment decision-making.

Clinical, Pathologic, and Molecular Prognostic Factors in Patients with Early-Stage EGFR-Mutant NSCLC

PURPOSE

In early-stage, EGFR mutation-positive (EGFR-M+) non-small cell lung cancer (NSCLC), surgery remains the primary treatment, without personalized adjuvant treatments. We aimed to identify risk factors for recurrence-free survival (RFS) to suggest personalized adjuvant strategies in resected early-stage EGFR-M+ NSCLC.

EXPERIMENTAL DESIGN

From January 2008 to August 2020, a total of 2,340 patients with pathologic stage (pStage) IB-IIIA, non-squamous NSCLC underwent curative surgery. To identify clinicopathologic risk factors, 1,181 patients with pStage IB-IIIA, common EGFR-M+ NSCLC who underwent surgical resection were analyzed. To identify molecular risk factors, comprehensive genomic analysis was conducted in 56 patients with matched case-controls (pStage II and IIIA and type of EGFR mutation).

RESULTS

Median follow-up duration was 38.8 months (0.5-156.2). Among 1,181 patients, pStage IB, II, and IIIA comprised 577 (48.9%), 331 (28.0%), and 273 (23.1%) subjects, respectively. Median RFS was 73.5 months [95% confidence interval (CI), 62.1-84.9], 48.7 months (95% CI, 41.2-56.3), and 22.7 months (95% CI, 19.4-26.0) for pStage IB, II, and IIIA, respectively (P < 0.001). In multivariate analysis of clinicopathologic risk factors, pStage, micropapillary subtype, vascular invasion, and pleural invasion, and pathologic classification by cell of origin (type II pneumocyte-like tumor cell vs. bronchial surface epithelial cell-like tumor cell) were associated with RFS. As molecular risk factors, the non-terminal respiratory unit (non-TRU) of the RNA subtype (HR, 3.49; 95% CI, 1.72-7.09; P < 0.01) and TP53 mutation (HR, 2.50; 95% CI, 1.24-5.04; P = 0.01) were associated with poor RFS independent of pStage II or IIIA. Among the patients with recurrence, progression-free survival of EGFR-tyrosine kinase inhibitor (TKI) in those with the Apolipoprotein B mRNA Editing Catalytic Polypeptide-like (APOBEC) mutation signature was inferior compared with that of patients without this signature (8.6 vs. 28.8 months; HR, 4.16; 95% CI, 1.28-13.46; P = 0.02).

CONCLUSIONS

The low-risk group with TRU subtype and TP53 wild-type without clinicopathologic risk factors might not need adjuvant EGFR-TKIs. In the high-risk group, with non-TRU subtype and/or TP 53 mutation, or clinicopathologic risk factors, a novel adjuvant strategy of EGFR-TKI with others, e.g., chemotherapy or antiangiogenic agents needs to be investigated. Given the poor outcome to EGFR-TKIs after recurrence in patients with the APOBEC mutation signature, an alternative adjuvant strategy might be needed.

Clinical Prognosis of Lung Cancer in Patients with Moderate Chronic Kidney Disease

The clinical outcomes of patients with lung cancer coexisting with chronic kidney disease (CKD) are reported to have been conflicting. There is insufficient evidence for treatment and prognosis of lung cancer according to renal function in patients with CKD. We evaluate clinical course and prognostic factors of lung cancer according to the renal function of moderate CKD patients. A retrospective, multicenter study of lung cancer patients with moderate CKD was performed. Moderate CKD was defined as having an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2. CKD was classified as stage 3, stage 4, and stage 5 according to eGFR. The cumulative mortality of lung cancer was calculated by competing risks survival analysis, and the risk factors were evaluated by the Cox-proportional hazards model. Among the lung cancer patients with moderate CKD (n = 181), median overall survival (OS) was 11.1 (4.2−31.3) months for stage 3 CKD patients, 6.0 (1.8−16.3) months for stage 4 CKD patients, and 4.7 (2.1−40.1) months for stage 5 CKD patients (p = 0.060), respectively. In a subgroup analysis, CKD stage was associated with an increased mortality in early-stage non-small cell lung cancer (NSCLC). Cox regression analysis revealed that age ≥ 75 years (adjusted hazard ratio (aHR), 1.581; 95% confidence interval (CI), 1.082−2.310), Charlson comorbidity index (aHR, 1.669; 95% CI, 10.69−2.605), and stage IV NSCLC (aHR, 2.395; 95% CI, 1.512−3.796) were associated with increased mortality risk, whereas adenocarcinoma (aHR, 0.580; 95% CI, 0.352−0.956) and stage 3 CKD (aHR, 0.598; 95% CI, 0.399−0.895) were associated with decreased mortality risk. In conclusion, the mortality risk of patients with lung cancer was lower in stage 3 CKD compared with stage 4 or 5 CKD. In addition, in the early stages of NSCLC, the CKD stage affected the prognosis, but not in the advanced stage NSCLC.

Evaluation of the necessity of Pulmonary Ligament Lymph Node Dissection for Upper Lobe Stage IB NSCLC: A Propensity Score-matched Study

Objective: The purpose of this study was to explore whether the resection of pulmonary ligament lymph nodes would affect the prognosis of patients with stage IB non-small cell lung cancer (NSCLC). Methods: We retrospectively analyzed 341 patients with upper lobe stage IB NSCLC who underwent radical surgery for lung cancer at Sun Yat-Sen University Cancer Center from 1999 to 2009. The Cox proportional hazard regression model was used to analyze the prognostic factors. After propensity score matching (PSM), 204 cases were selected. The Kaplan-Meier method and log-rank test were applied to compare overall survival (OS) and recurrence-free survival (RFS). Results: Among the 341 cases included in the study, 217 had no pulmonary ligament lymph nodes resected, and 124 had pulmonary ligament lymph nodes resected. They were divided into two groups according to whether the pulmonary ligament lymph nodes were resected; there were significant differences between the two groups in laterality, resected lymph node stations, and resected lymph node numbers (P<0.05). Univariate and multivariate analyses by the Cox proportional hazards model showed that age and family history of malignant tumors were prognostic factors for OS, and no variables were prognostic factors for RFS (P<0.05). Resection of the pulmonary ligament lymph node was not associated with OS or RFS. After propensity score matching (PSM), survival analysis was performed again using the Kaplan-Meier method and log-rank test; the results suggested that resection of the pulmonary ligament lymph node is not statistically associated with OS and RFS (P>0.05). Conclusions: For stage IB NSCLC, resection of the pulmonary ligament lymph nodes was not statistically associated with OS or RFS. Pulmonary ligament lymph node resection is not necessary for early-stage NSCLC.