Timing, Sites, and Correlates of Lung Cancer Recurrence

Benefits and risks of PD-1/PD-L1 inhibitors for recurrent small cell lung cancer: A systematic review and meta-analysis

The development of immune checkpoint inhibitors(ICIs) has revolutionized the progress of solid tumors. Ongoing clinical trials are exploring the use of checkpoint inhibitors in recurrent small-cell lung cancer and achieving specific results. Although studies have been conducted to systematically review this issue, we conducted this single-arm meta-analysis in light of the emergence of several new clinical studies. In total, 854 individuals from 11 clinical investigations were enrolled in this single-arm meta-analysis. Median progression-free survival, median overall survival, and objective response rate were 1.65 months, 6.83 months, and 20.5%, respectively, according to pooled analyses. The best treatment regimen in the subgroup analysis was a dual checkpoint inhibitor combined with other treatments, and the drug that worked well for treatment was pembrolizumab. The benefit of programmed death 1/programmed cell death-ligand 1(PD-1/PD-L1) inhibitors alone is limited, and their combination with other therapies is a promising treatment option. Among PD-1/PD-L1 inhibitors, pembrolizumab is the recommended drug.

Association Between ALK Rearrangement and Ultra-Late Recurrence in Lung Cancer: Case Report and Pooled Analysis

Ultra-late recurrence, defined as recurrence occurring 10 years or longer after curative treatment, is uncommon for non-small cell lung cancer (NSCLC). To date, factors associated with ultra-late recurrence remain unknown. We report a case with ultra-late recurrence and reviewed the literature published during 2010-2023. This is a case of a 66-year-old woman, with a significant smoking history and a previous history of lung adenocarcinoma, who underwent surgery for a brain metastasis detected on imaging. The pathology confirmed lung adenocarcinoma with an epidermal growth factor receptor (EGFR) exon 20 insertion, a finding consistent with the initial lung surgery a decade ago. With receiving intrathecal topotecan, the patient has maintained stable disease 10 months post-surgery. Given the rarity of ultra-late recurrence of NSCLC, we also conducted a pooled analysis with the outcome of interest being a time to recurrence. Data from this case report was analyzed along with previously published 26 cases of ultra-late recurrence. Multivariable analysis indicated that the only factor significantly predicting time to recurrence was anaplastic lymphoma kinase (ALK) rearrangement.

Dynamics of recurrence after curative resection of nonsmall cell lung cancer

BACKGROUND AND OBJECTIVES

This study examined the trend of hazards for postoperative recurrence of lung cancer according to pathologic stages.

METHODS

We reviewed the records of 1987 patients who underwent resection for lung cancer between 2007 and 2012. Postoperative recurrence and development of second primary lung cancer were analyzed to evaluate the trend of hazard rate.

RESULTS

Recurrence-free survival (RFS) probabilities at 5 postoperative years in patients with stage I/II/III disease were 87.8%/54.7%,/33.4%, respectively. The hazard rate of RFS was consistently low (<0.005) for stage I patients for 5 years after surgery. The hazard rate of RFS for stage II patients showed a peak of 0.016 at 12.4 months after surgery, and that for stage III patients had a higher peak of 0.029 at 13.7 months after surgery, after which they showed a gradual decrease. The hazard rate for the development of second primary lung cancer exceeded that of recurrence of first primary lung cancer after 72 months postoperatively.

CONCLUSIONS

Short-interval postoperative surveillance might be unnecessary for stage I patients but should be considered in stage II/III patients. Screening of second primary lung cancer rather than surveillance of recurrence might be beneficial after more than 6 years postoperatively.

Exploring the efficacy of artificial neural networks in predicting lung cancer recurrence: a retrospective study based on patient records

Background

Lung cancer remains a significant public health concern, accounting for a considerable number of cancer-related deaths worldwide. Neural networks have emerged as a promising tool that can aid in the diagnosis and treatment of various cancers. Consequently, there has been a growing interest in exploring the potential of artificial intelligence (AI) methods in medicine. The present study aimed to evaluate the effectiveness of a neural network in predicting lung cancer recurrence.

Methods

The study employed retrospective data from 2,296 medical records of patients diagnosed with lung cancer and admitted to the Warmińsko-Mazurskie Center for Lung Diseases in Olsztyn, Poland. The statistical software STATISTICA 7.1, equipped with the Neural Networks module (StatSoft Inc., Tulsa, USA), was utilized to analyze the data. The neural network model was trained using patient information regarding gender, treatment, smoking status, family history, and symptoms of cancer.

Results

The study employed a multilayer perceptron neural network with a two-phase learning process. The network demonstrated high predictive ability, as indicated by the percentage of correct classifications, which amounted to 87.5%, 89.1%, and 89.9% for the training, validation, and test sets, respectively.

Conclusions

The findings of this study support the potential usefulness of a neural network-based predictive model in assessing the risk of lung cancer recurrence. Further research is warranted to validate these findings and to explore AI's broader implications in cancer diagnosis and treatment.

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.

GNAQ-Regulated ZO-1 and ZO-2 Act as Tumor Suppressors by Modulating EMT Potential and Tumor-Repressive Microenvironment in Lung Cancer

Epithelial-to-mesenchymal transition (EMT) plays a critical role in the development and progression of lung cancer by promoting its invasiveness and metastasis. Using integrative analyses of the public lung cancer database, we found that the expression levels of the tight junction proteins, zonula occluden (ZO)-1 and ZO-2, were lower in lung cancer tissues, including both lung adenocarcinoma and lung squamous cell carcinoma than in normal lung tissues analyzed using The Cancer Genome Atlas (TCGA). Although the ectopic expression or knockdown of ZO-1 and ZO-2 did not affect the growth of lung cancer cells, they significantly regulated cell migration and invasion. When M0 macrophages were co-cultured with ZO-1 or ZO-2 knockdown Calu-1 cells, M2-like polarization was efficiently induced. Conversely, co-culture of M0 THP-1 cells with A549 cells stably expressing ZO-1 or ZO-2 significantly reduced M2 differentiation. We also identified G protein subunit alpha q (GNAQ) as a potential ZO-1- and ZO-2-specific activator through analysis of correlated genes with the TCGA lung cancer database. Our results suggest that the GNAQ-ZO-1/2 axis may play a tumor-suppressive role in lung cancer development and progression and highlight ZO-1 and ZO-2 as key EMT- and tumor microenvironment-suppressive proteins. These findings provide new insights for the development of targeted therapies for lung cancer.

CT-derived body composition associated with lung cancer recurrence after surgery

OBJECTIVES

To evaluate the impact of body composition derived from computed tomography (CT) scans on postoperative lung cancer recurrence.

METHODS

We created a retrospective cohort of 363 lung cancer patients who underwent lung resections and had verified recurrence, death, or at least 5-year follow-up without either event. Five key body tissues and ten tumor features were automatically segmented and quantified based on preoperative whole-body CT scans (acquired as part of a PET-CT scan) and chest CT scans, respectively. Time-to-event analysis accounting for the competing event of death was performed to analyze the impact of body composition, tumor features, clinical information, and pathological features on lung cancer recurrence after surgery. The hazard ratio (HR) of normalized factors was used to assess individual significance univariately and in the combined models. The 5-fold cross-validated time-dependent receiver operating characteristics analysis, with an emphasis on the area under the 3-year ROC curve (AUC), was used to characterize the ability to predict lung cancer recurrence.

RESULTS

Body tissues that showed a standalone potential to predict lung cancer recurrence include visceral adipose tissue (VAT) volume (HR = 0.88, p = 0.047), subcutaneous adipose tissue (SAT) density (HR = 1.14, p = 0.034), inter-muscle adipose tissue (IMAT) volume (HR = 0.83, p = 0.002), muscle density (HR = 1.27, p < 0.001), and total fat volume (HR = 0.89, p = 0.050). The CT-derived muscular and tumor features significantly contributed to a model including clinicopathological factors, resulting in an AUC of 0.78 (95% CI: 0.75-0.83) to predict recurrence at 3 years.

CONCLUSIONS

Body composition features (e.g., muscle density, or muscle and inter-muscle adipose tissue volumes) can improve the prediction of recurrence when combined with clinicopathological factors.

Computational modeling of locoregional recurrence with spatial structure identifies tissue-specific carcinogenic profiles

Introduction

Local and regional recurrence after surgical intervention is a significant problem in cancer management. The multistage theory of carcinogenesis precisely places the presence of histologically normal but mutated premalignant lesions surrounding the tumor - field cancerization, as a significant cause of cancer recurrence. The relationship between tissue dynamics, cancer initiation and cancer recurrence in multistage carcinogenesis is not well known.

Methods

This study constructs a computational model for cancer initiation and recurrence by combining the Moran and branching processes in which cells requires 3 or more mutations to become malignant. In addition, a spatial structure-setting is included in the model to account for positional relativity in cell turnover towards malignant transformation. The model consists of a population of normal cells with no mutation; several populations of premalignant cells with varying number of mutations and a population of malignant cells. The model computes a stage of cancer detection and surgery to eliminate malignant cells but spares premalignant cells and then estimates the time for malignant cells to re-emerge.

Results

We report the cellular conditions that give rise to different patterns of cancer initiation and the conditions favoring a shorter cancer recurrence by analyzing premalignant cell types at the time of surgery. In addition, the model is fitted to disease-free clinical data of 8,957 patients in 27 different cancer types; From this fitting, we estimate the turnover rate per month, relative fitness of premalignant cells, growth rate and death rate of cancer cells in each cancer type.

Discussion

Our study provides insights into how to identify patients who are likely to have a shorter recurrence and where to target the therapeutic intervention.

Extracellular vesicles derived from lung cancer cells promote the progression of lung cancer by delivering miR-151a-5p

Extracellular vesicles (EVs) participate in the occurrence and development of lung cancer. MiR-151a-5p has been reported to be highly expressed in the tumor tissues of lung cancer. The aim of this work was to investigate whether EVs can affect lung cancer progression by delivering miR-151a-5p. In this work, we found that miR-151a-5p was highly expressed in serum of lung cancer patients. Up-regulation of miR-151a-5p and down-regulation of Nedd4-binding partner-1 (N4BP1) were observed in lung cancer cell lines. The expression of miR-151a-5p was also increased in H520-derived EVs. H520-derived EVs promoted cell proliferation, inhibited apoptosis of H520 cells by delivering miR-151a-5p. EVs containing miR-151a-5p repressed E-cadherin expression and elevated N-cadherin and Vimentin expression to impede epithelial-mesenchymal transition (EMT) of H520 cells. Additionally, the interaction between miR-151a-5p and N4BP1 was verified by luciferase reporter assay, showing that miR-151a-5p interacted with N4BP1. MiR-151a-5p repressed N4BP1 expression by interacting with N4BP1. EVs containing miR-151a-5p promoted malignant phenotypes of H520 cells by targeting N4BP1. Finally, a tumor-bearing mouse model was constructed by inoculation of H520 cells with miR-151a-5p overexpression or knockdown. Overexpression of miR-151a-5p accelerated tumor growth of lung cancer in vivo, and repressed N4BP1 expression in the tumor tissues. Knockdown of miR-151a-5p caused opposite results. In conclusion, this work demonstrated that lung cancer cell-derived EVs secreted miR-151a-5p to promote cell proliferation, and inhibit apoptosis and EMT of lung cancer cells by targeting N4BP1, thereby accelerating lung cancer progression. Thus, this study suggests that EVs-derived miR-151a-5p may be a potential target for lung cancer treatment.

Lung squamous cell carcinoma presenting as rare clustered cystic lesions: A case report and review of literature

BACKGROUND

Lung cancer is the leading cause of cancer-related death. Early diagnosis is critical to improving a patient’s chance of survival. However, lung cancer associated with cystic airspaces is often misdiagnosed or underdiagnosed due to the absence of clinical symptoms, poor imaging specificity, and high risk of biopsy-related complications.

CASE SUMMARY

We report an unusual case of cancer in a 55-year-old man, in which the lesion evolved from a small solitary thin-walled cyst to lung squamous cell carcinoma (SCC) with metastases in both lungs. The SCC manifested as rare clustered cystic lesions, detected on chest computed tomography. There were air-fluid levels, compartments, and bronchial arteries in the cystic lesions. Additionally, there was no clear extrathoracic metastasis. After chemotherapy, the patient achieved a partial response, type I respiratory failure was relieved, and the lung lesions became a clustered thin-walled cyst.

CONCLUSION

Pulmonary cystic lesions require regular imaging follow-up. Lung SCC should be a diagnostic consideration in cases of thin-walled cysts as well as multiple clustered cystic lesions.

Impact of Low-dose Chest CT Screening on the Association Between Rurality and Lung Cancer Outcomes

INTRODUCTION

Lung cancer mortality is higher among rural United States populations compared with nonrural ones. Little is known about screening low-dose chest computed tomography (LDCT) outcomes in rural settings.

MATERIALS AND METHODS

This retrospective cohort study examined all patients (n=1805) who underwent screening LDCT in a prospective registry from March 1, 2015, through December 31, 2019, in a majority-rural health care system. We assessed the proportion of early-stage lung cancers (American Joint Committee on Cancer stage I-II) diagnosed among LDCT-screened patients, and analyzed overall survival after early-stage lung cancer diagnosis according to residency location.

RESULTS

The screening cohort had a median age of 63 and median 40-pack-year smoking history; 62.4% had a rural residence, 51.2% were female, and 62.7% completed only 1 LDCT scan. Thirty-eight patients were diagnosed with lung cancer (2.1% of the cohort), of which 65.8% were early-stage. On multivariable analysis, rural (vs nonrural) residency was not associated with a lung cancer diagnosis (adjusted hazard ratio 1.59; 95% CI, 0.74-3.40; P =0.24). At a median follow-up of 37.1 months (range, 3.3 to 67.2 months), 88.2% of rural versus 87.5% of nonrural patients with screen-diagnosed early-stage lung cancer were alive ( P =0.93).

CONCLUSIONS

In a majority-rural United States population undergoing LDCT, most screen-detected lung cancers were early-stage. There were no significant differences observed between rural and nonrural patients in lung cancer diagnosis rate or early-stage lung cancer survival. Increased implementation of LDCT might blunt the historical association between rural United States populations and worse lung cancer outcomes.

Multidisciplinary Management of Brain Metastases from Non-Small Cell Lung Cancer in the Era of Immunotherapy

OPINION STATEMENT

Brain metastases from non-small cell lung cancer often cause neurologic symptoms which lead to initial diagnosis or identification of recurrence. In other patients, they are identified on surveillance imaging or when a patient undergoing treatment develops neurological symptoms. Patients with symptomatic lesions should be started on dexamethasone and evaluated by a neurosurgeon as soon as possible. If feasible, surgery should be offered to decrease intracranial pressure, alleviate symptoms, and prevent irreversible neurological damage. Postoperative stereotactic radiosurgery (SRS) to the resection cavity and any additional brain metastases should follow within 4 weeks of surgery, as early as 2 weeks post-op. Tissue from surgery is used to confirm the diagnosis and test for targetable oncogenic driver mutations. Treatment response and surveillance for development of additional lesions is assessed with MRI of the brain 1 month after SRS and every 3 months thereafter. Patients who are not surgical candidates or who have small, asymptomatic brain metastases should proceed with SRS, the preferred treatment, or sometimes whole-brain radiation therapy (WBRT) if multifocal disease requires more extensive treatment, such as for leptomeningeal spread of disease. The number of brain metastases that warrants use of WBRT over SRS is controversial and a topic of ongoing investigation, and is discussed in this review. When possible, SRS is preferred over WBRT due to reduce morbidity and cognitive side effects. When patients are already on systemic therapy at time of brain metastases diagnosis, systemic therapy should continue, with radiation therapy occurring between cycles. Regarding systemic therapy for new diagnosis at time of brain metastases presentation, molecular testing will guide treatment choice, when available. If there is no neurosurgical intervention, biopsy of another site of disease may provide tissue for molecular testing. If there are no targetable oncogenic driver mutations, concurrent immune checkpoint blockade (ICB) and chemotherapy is preferable for patients who can tolerate it. Single-agent ICB is an alternative option for patients who cannot tolerate chemotherapy. Systemic therapy should start as soon as possible. In some patients with poor performance status, best supportive care may be the most appropriate choice. Treatment decisions should always incorporate patients' goals of care and in many cases should be discussed in a multidisciplinary setting.

Survival in Patients With Brain Metastases: Summary Report on the Updated Diagnosis-Specific Graded Prognostic Assessment and Definition of the Eligibility Quotient

PURPOSE

Conventional wisdom has rendered patients with brain metastases ineligible for clinical trials for fear that poor survival could mask the benefit of otherwise promising treatments. Our group previously published the diagnosis-specific Graded Prognostic Assessment (GPA). Updates with larger contemporary cohorts using molecular markers and newly identified prognostic factors have been published. The purposes of this work are to present all the updated indices in a single report to guide treatment choice, stratify research, and define an eligibility quotient to expand eligibility.

METHODS

A multi-institutional database of 6,984 patients with newly diagnosed brain metastases underwent multivariable analyses of prognostic factors and treatments associated with survival for each primary site. Significant factors were used to define the updated GPA. GPAs of 4.0 and 0.0 correlate with the best and worst prognoses, respectively.

RESULTS

Significant prognostic factors varied by diagnosis and new prognostic factors were identified. Those factors were incorporated into the updated GPA with robust separation (P < .01) between subgroups. Survival has improved, but varies widely by GPA for patients with non-small-cell lung, breast, melanoma, GI, and renal cancer with brain metastases from 7-47 months, 3-36 months, 5-34 months, 3-17 months, and 4-35 months, respectively.

CONCLUSION

Median survival varies widely and our ability to estimate survival for patients with brain metastases has improved. The updated GPA (available free at brainmetgpa.com) provides an accurate tool with which to estimate survival, individualize treatment, and stratify clinical trials. Instead of excluding patients with brain metastases, enrollment should be encouraged and those trials should be stratified by the GPA to ensure those trials make appropriate comparisons. Furthermore, we recommend the expansion of eligibility to allow for the enrollment of patients with previously treated brain metastases who have a 50% or greater probability of an additional year of survival (eligibility quotient > 0.50).

Detection of the mesenchymal-to-epithelial transition of invasive non-small cell lung cancer cells by their membrane undulation spectra

A cancer cell changes its state from being epithelial- to mesenchymal-like in a dynamic manner during tumor progression. For example, it is well known that mesenchymal-to-epithelial transition (MET) is essential for cancer cells to regain the capability of seeding on and then invading secondary/tertiary regions. However, there is no fast yet reliable method for detecting this transition. Here, we showed that membrane undulation of invasive cancer cells could be used as a novel marker for MET detection, both in invasive model cell lines and repopulated circulating tumor cells (rCTCs) from non-small cell lung cancer (NSCLC) patients. Specifically, using atomic force microscopy (AFM), it was found that the surface oscillation spectra of different cancer cells, after undergoing MET, all exhibited two distinct peaks from 0.001 to 0.007 Hz that are absent in the spectra before MET. In addition, by adopting the long short-term memory (LSTM) based recurrent neural network learning algorithm, we showed that the positions of recorded membrane undulation peaks can be used to predict the occurrence of MET in invasive NSCLC cells with high accuracy (>90% for model cell lines and >80% for rCTCs when benchmarking against the conventional bio-marker vimentin). These findings demonstrate the potential of our approach in achieving rapid MET detection with a much reduced cell sample size as well as quantifying changes in the mesenchymal level of tumor cells.

Propensity score adjusted analysis of patients with isolated locoregional recurrence versus de novo locally advanced NSCLC treated with definitive therapy

OBJECTIVES

Definitive intent treatment of isolated locoregional recurrence (iLR) for non-small cell lung cancer (NSCLC) is becoming more common. This study explores outcomes associated with the definitive local treatment of iLR and compares these outcomes to newly diagnosed locally advanced NSCLC (LA-NSCLC) patients.

MATERIALS AND METHODS

Patients with NSCLC treated with curative therapy between 2008 and 2019 at a tertiary academic institution were screened for iLR treated with subsequent definitive salvage therapy. Progression free survival (PFS), time to distant metastasis (TTDM), and overall survival (OS) were calculated via Kaplan-Meier methodology. Clinical outcomes were compared to a separate group of patients with de novo LA-NSCLC after adjusting for propensity score (PS).

RESULTS

Sixty five cases of definitively salvaged iLR were compared to 302 patients with de novo LA-NSCLC. Most patients were treated with chemoradiotherapy (83.1% in iLR, 74.5% in LA-NSCLC). The median PFS, TTDM, and OS for the iLR cohort was 16.7 months (95% CI: 9.6-24.7), 35.8 months (95% CI: 17.1-NR), and 49.5 months (95% CI: 30.1-NR), respectively. After adjusting for PS, the iLR group was no different from the LA-NSCLC group in risk for progression (HR 0.78, 95% CI: 0.53-1.16, p = 0.22), distant metastasis (HR 0.81, 95% CI: 0.52-1.27, p = 0.36), or death (HR 0.90, 95% CI: 0.47-1.73, p = 0.75). Patterns of failure did not different significantly between groups. In the iLR cohort, patients with older age (HR 1.06, 95 CI: 1.01-1.10, p = 0.01) had a higher risk of death on multivariate analysis.

CONCLUSION

To our knowledge, this is the first report that compares the definitive treatment of iLR to de novo LA-NSCLC. When treated with definitive local therapy, patients with iLR had no difference in clinical outcomes from de novo LA-NSCLC. The use of curative local therapy according to a LA-NSCLC paradigm is advisable in patients with iLR of NSCLC for whom definitive therapy is feasible.