Risk factors for bone metastasis in completely resected non-small-cell lung cancer

N, Huang J, Li Y, Zhao G, Liu M. Exosome tropism and various pathways in lung cancer metastasis

Lung cancer, characterized by its high morbidity and mortality rates, has the capability to metastasize to various organs, thereby amplifying its detrimental impact and fatality. The metastasis of lung cancer is a complex biological phenomenon involving numerous physiological transformations. Exosomes, small membranous vesicles enriched with biologically active components, are pivotal in mediating intercellular communication and regulating physiological functions due to their specificity and stability. Extensive research has elucidated the production and functions of exosomes in cancer contexts. Multitude of evidence demonstrates a strong association between lung cancer metastasis and exosomes. Additionally, the concept of the pre-metastatic niche is crucial in the metastatic process facilitated by exosomes. This review emphasizes the role of exosomes in mediating lung cancer metastasis and their impact on the disease's development and the progression to other tissues. Furthermore, it explores the potential of exosomes as biomarkers for lung cancer metastasis, offering significant insights for future clinical advancements.

No prognostic impact of staging bone scan in patients with stage IA non-small cell lung cancer

OBJECTIVE

To investigate the survival benefit of preoperative bone scan in asymptomatic patients with early-stage non-small cell lung cancer (NSCLC).

METHODS

This retrospective study included patients with radical resection for stage T1N0M0 NSCLC between March 2013 and December 2018. During postoperative follow-up, we monitored patient survival and the development of bone metastasis. We compared overall survival, bone metastasis-free survival, and recurrence-free survival in patients with or without preoperative bone scan. Propensity score matching and inverse probability of treatment weighting were used to minimize election bias.

RESULTS

A total of 868 patients (58.19 ± 9.69 years; 415 men) were included in the study. Of 87.7% (761 of 868) underwent preoperative bone scan. In the multivariable analyses, bone scan did not improve overall survival (hazard ratio [HR] 1.49; 95% confidence intervals [CI] 0.91-2.42; p = 0.113), bone metastasis-free survival (HR 1.18; 95% CI 0.73-1.90; p = 0.551), and recurrence-free survival (HR 0.89; 95% CI 0.58-1.39; p = 0.618). Similar results were obtained after propensity score matching (overall survival [HR 1.28; 95% CI 0.74-2.23; p = 0.379], bone metastasis-free survival [HR 1.00; 95% CI 0.58-1.72; p = 0.997], and recurrence-free survival [HR 0.76; 95% CI 0.46-1.24; p = 0.270]) and inverse probability of treatment weighting.

CONCLUSION

There were no significant differences in overall survival, bone metastasis-free survival, and recurrence-free survival between asymptomatic patients with clinical stage IA NSCLC with or without preoperative bone scan.

Construction of a predictive model for bone metastasis from first primary lung adenocarcinoma within 3 cm based on machine learning algorithm: a retrospective study

Background

Adenocarcinoma, the most prevalent histological subtype of non-small cell lung cancer, is associated with a significantly higher likelihood of bone metastasis compared to other subtypes. The presence of bone metastasis has a profound adverse impact on patient prognosis. However, to date, there is a lack of accurate bone metastasis prediction models. As a result, this study aims to employ machine learning algorithms for predicting the risk of bone metastasis in patients.

Method

We collected a dataset comprising 19,454 cases of solitary, primary lung adenocarcinoma with pulmonary nodules measuring less than 3 cm. These cases were diagnosed between 2010 and 2015 and were sourced from the Surveillance, Epidemiology, and End Results (SEER) database. Utilizing clinical feature indicators, we developed predictive models using seven machine learning algorithms, namely extreme gradient boosting (XGBoost), logistic regression (LR), light gradient boosting machine (LightGBM), Adaptive Boosting (AdaBoost), Gaussian Naive Bayes (GNB), multilayer perceptron (MLP) and support vector machine (SVM).

Results

The results demonstrated that XGBoost exhibited superior performance among the four algorithms (training set: AUC: 0.913; test set: AUC: 0.853). Furthermore, for convenient application, we created an online scoring system accessible at the following URL: https://www.xsmartanalysis.com/model/predict/?mid=731symbol=7Fr16wX56AR9Mk233917, which is based on the highest performing model.

Conclusion

XGBoost proves to be an effective algorithm for predicting the occurrence of bone metastasis in patients with solitary, primary lung adenocarcinoma featuring pulmonary nodules below 3 cm in size. Moreover, its robust clinical applicability enhances its potential utility.

Prediction of bone metastasis in non-small cell lung cancer based on machine learning

OBJECTIVE

The purpose of this paper was to develop a machine learning algorithm with good performance in predicting bone metastasis (BM) in non-small cell lung cancer (NSCLC) and establish a simple web predictor based on the algorithm.

METHODS

Patients who diagnosed with NSCLC between 2010 and 2018 in the Surveillance, Epidemiology and End Results (SEER) database were involved. To increase the extensibility of the research, data of patients who first diagnosed with NSCLC at the First Affiliated Hospital of Nanchang University between January 2007 and December 2016 were also included in this study. Independent risk factors for BM in NSCLC were screened by univariate and multivariate logistic regression. At this basis, we chose six commonly machine learning algorithms to build predictive models, including Logistic Regression (LR), Decision tree (DT), Random Forest (RF), Gradient Boosting Machine (GBM), Naive Bayes classifiers (NBC) and eXtreme gradient boosting (XGB). Then, the best model was identified to build the web-predictor for predicting BM of NSCLC patients. Finally, area under receiver operating characteristic curve (AUC), accuracy, sensitivity and specificity were used to evaluate the performance of these models.

RESULTS

A total of 50581 NSCLC patients were included in this study, and 5087(10.06%) of them developed BM. The sex, grade, laterality, histology, T stage, N stage, and chemotherapy were independent risk factors for NSCLC. Of these six models, the machine learning model built by the XGB algorithm performed best in both internal and external data setting validation, with AUC scores of 0.808 and 0.841, respectively. Then, the XGB algorithm was used to build a web predictor of BM from NSCLC.

CONCLUSION

This study developed a web predictor based XGB algorithm for predicting the risk of BM in NSCLC patients, which may assist doctors for clinical decision making.

Active demethylation upregulates CD147 expression promoting non-small cell lung cancer invasion and metastasis

Non-small cell lung cancer (NSCLC) is a fatal disease, and its metastatic process is poorly understood. Although aberrant methylation is involved in tumor progression, the mechanisms underlying dynamic DNA methylation remain to be elucidated. It is significant to study the molecular mechanism of NSCLC metastasis and identify new biomarkers for NSCLC early diagnosis. Here, we performed MeDIP-seq and hMeDIP-seq analyses to detect the genes regulated by dynamic DNA methylation. Comparison of the 5mC and 5hmC sites revealed that the CD147 gene underwent active demethylation in NSCLC tissues compared with normal tissues, and this demethylation upregulated CD147 expression. Significantly high levels of CD147 expression and low levels of promoter methylation were observed in NSCLC tissues. Then, we identified the CD147 promoter as a target of KLF6, MeCP2, and DNMT3A. Treatment of cells with TGF-β triggered active demethylation involving loss of KLF6/MeCP2/DNMT3A and recruitment of Sp1, Tet1, TDG, and SMAD2/3 transcription complexes. A dCas9-SunTag-DNMAT3A-sgCD147-targeted methylation system was constructed to reverse CD147 expression. The targeted methylation system downregulated CD147 expression and inhibited NSCLC proliferation and metastasis in vitro and in vivo. Accordingly, we used cfDNA to detect the levels of CD147 methylation in NSCLC tissues and found that the CD147 methylation levels exhibited an inverse relationship with tumor size, lymphatic metastasis, and TNM stage. In conclusion, this study clarified the mechanism of active demethylation of CD147 and suggested that the targeted methylation of CD147 could inhibit NSCLC invasion and metastasis, providing a highly promising therapeutic target for NSCLC.

Racial disparities in bone metastasis patterns and targeted screening and treatment strategies in newly diagnosed lung cancer patients

Objective: Race disparities exist in bone metastasis (BM) development and survival in lung cancer (LC) patients. The Surveillance, Epidemiology, and End Results (SEER) database was used to investigate different patterns of BM development and survival in different races.Design: LC patients with BM were identified from the database from 2010 to 2014. Risk factors were investigated by univariable and multivariable logistic regression. Potential factors for prognosis were evaluated by univariable and multivariable Cox regression.Results: Asian and Pacific Islander (API) patients presented the highest prevalence of BM (24.6%), followed by white (20.7%) and black patients (19.9%) (χ2 = 78.74; p < .001). After adjusting for the demographic and clinical factors, API race was independently associated with a high risk of BM development. The median survival times for the API, white and black LC patients with BM were 16 months (95% CI: 15.2-16.8), 11 months (95% CI: 10.9-11.1) and 10 months (95% CI: 9.7-10.3), respectively, with significant differences (p < .001). Multivariable Cox regression showed that API race was positively associated with greater overall survival compared with white and black patients. Male gender, larger tumor size, lymph node involvement, lower tumor differentiated grade, and the presence of lung, liver and brain metastases were independently associated with a high risk of developing BM and worse survival with LC across all races. Age, income, insurance and histological types had different impacts on BM among different races.Conclusion: Homogeneous and heterogeneous associated factors for BM were revealed among different races. Individualized screening and treatment should be performed race-specifically.

Soft coral-derived Aspernolide A suppressed non-small cell lung cancer induced osteolytic bone invasion via the c-Fos/NFATC1 signaling pathway

Background

the incidence of distant metastases is over 30% in advanced non-small cell lung cancer (NSCLC) patients. In particular, bone is reported as the most common site of distant metastasis NSCLC. Bone metastases (BM) have a consequence of serious skeletal-related events (SREs) leading to the reduced overall survival (OS) and quality of life of NSCLC patients. Inhibition of osteolytic lesions and regulation crosstalk between metastatic NSCLC cells and bone microenvironment are the key to treating NSCLC. Due to the lack of effective treatments against NSCLC with bone metastasis, screening and identification of novel agents against both NSCLC and osteoclast effects are critically needed.

Methods

We assessed the effects of Aspernolide A (AA) on osteolysis and RANKL-induced pathways activation, bone resorption and F-actin ring formation in vitro. We evaluated AA effects on NCI-H460 and A549 cells in vitro through wound healing assay and transwell assay. Furthermore, we assessed the effects of AA in vivo using an intratibial xenograft NSCLC nude mouse model, followed by micro-computed tomography(micro-CT) and TRAcP staining.

Results

in our study, AA, a soft coral-derived agent, was shown to inhibit osteoclastogenesis via suppression of nuclear factor (NF)-κBp65, ERK, AKT and P38 phosphorylation, and then suppress the RANKL-induced c-Fos and NFATc1 activities in bone marrow macrophages (BMMs). Furthermore, AA reduced the migration and invasion of NSCLC cells through diminishing the expression of MMP9, MMP7, and N-cadherin proteins and upregulating E-cadherin expression in vitro, as well as inhibited the phosphorylation of ERK, AKT, P38, and NF-κBp65. It was also demonstrated that administration of AA could help prevent NSCLC-induced bone destruction by attenuating NSCLC development and osteoclast activity in vivo.

Conclusions

collectively, these findings indicated that Aspernolide A is a potential candidate for NSCLC-induced osteolytic bone destruction.

Predictive and Prognostic Biomarkers for Lung Cancer Bone Metastasis and Their Therapeutic Value

Lung cancer is the leading cause of cancer-related death worldwide. Bone metastasis, which usually accompanies severe skeletal-related events, is the most common site for tumor distant dissemination and detected in more than one-third of patients with advanced lung cancer. Biopsy and imaging play critical roles in the diagnosis of bone metastasis; however, these approaches are characterized by evident limitations. Recently, studies regarding potential biomarkers in the serum, urine, and tumor tissue, were performed to predict the bone metastases and prognosis in patients with lung cancer. In this review, we summarize the findings of recent clinical research studies on biomarkers detected in samples obtained from patients with lung cancer bone metastasis. These markers include the following: (1) bone resorption-associated markers, such as N-terminal telopeptide (NTx)/C-terminal telopeptide (CTx), C-terminal telopeptide of type I collagen (CTx-I), tartrate-resistant acid phosphatase isoform 5b (TRACP-5b), pyridinoline (PYD), and parathyroid hormone related peptide (PTHrP); (2) bone formation-associated markers, including total serum alkaline phosphatase (ALP)/bone specific alkaline phosphatase(BAP), osteopontin (OP), osteocalcin (OS), amino-terminal extension propeptide of type I procollagen/carboxy-terminal extension propeptide of type I procollagen (PICP/PINP); (3) signaling markers, including epidermal growth factor receptor/Kirsten rat sarcoma/anaplastic lymphoma kinase (EGFR/KRAS/ALK), receptor activator of nuclear factor κB ligand/receptor activator of nuclear factor κB/osteoprotegerin (RANKL/RANK/OPG), C-X-C motif chemokine ligand 12/C-X-C motif chemokine receptor 4 (CXCL12/CXCR4), complement component 5a receptor (C5AR); and (4) other potential markers, such as calcium sensing receptor (CASR), bone sialoprotein (BSP), bone morphogenetic protein 2 (BMP2), cytokeratin 19 fragment/carcinoembryonic antigen (CYFRA/CEA), tissue factor, cell-free DNA, long non-coding RNA, and microRNA. The prognostic value of these markers is also investigated. Furthermore, we listed some clinical trials targeting hotspot biomarkers in advanced lung cancer referring for their therapeutic effects.

Risk factors and prognostic factors for inflammatory breast cancer with bone metastasis: A population-based study

PURPOSE

Inflammatory breast cancer (IBC) is a rare type of breast cancer with poor prognosis. IBC patients with bone metastasis (BM) often suffer from many complications. This study was performed to identify risk factors with strong capability of predicting high BM risk for IBC patients and find prognostic factors for those patients.

METHODS

The Surveillance, Epidemiology and End Results (SEER) database was used to collect the clinicopathological and survival information of IBC patients. 966 IBC patients diagnosed between 2010 and 2015 were included to study the risk factors for developing BM by using Multivariable logistic regression. A total of 194 and 176 patients were included to analyze independent prognostic factors for overall survival (OS) and cancer specific survival (CSS) of IBC patients with BM respectively.

RESULTS

Of the 966 IBC patients, 194 (20.1%) patients were with BM. The risk factors for developing BM in IBC patients included unmarried marital status, double breast tumor, N1 stage, N3 stage, and liver metastases had higher risk of BM, while those of uninsured status and triple negative breast cancer (TNBC) were less likely to have BM. Analysis of prognostic factors for OS and CSS of IBC patients with BM showed that TNBC subtype and liver metastases were independently significantly associated with poorer OS and CSS of BM patients, while chemotherapy could serve as an independent prognostic factor for better OS and CSS of BM patients.

CONCLUSION

Marital status, double breast tumor, N1 stage, N3 stage, and liver metastases should be considered for prediction of BM in IBC patients. TNBC subtype and liver metastases may indicate poor survival and chemotherapy can indicate improved survival for IBC patients with BM.

Identification of differentially expressed genes using microarray analysis and COL6A1 induction of bone metastasis in non-small cell lung cancer

Non-small cell lung cancer (NSCLC) is a major cause of cancer-associated mortality worldwide, and bone metastasis is the most prevalent event observed in patients with advanced NSCLC. However, the pathogenesis of bone metastases has not been fully elucidated. In the present study, differentially expressed genes (DEGs) were identified by gene expression microarray analysis of NSCLC tissue samples with or without bone metastases. Subsequently, collagen type 6A1 (COL6A1) was chosen as the target gene through Ingenuity Pathway Analysis and reverse transcription-quantitative (RT-q) PCR validation of the top eight DEGs. COL6A1 was overexpressed or knocked down, and the proliferation and invasion of NSCLC cells was assessed using Cell Counting Kit-8, colony formation and Transwell invasion assays. Additionally, the osteogenic capacity of HOB and hES-MP 002.5 cells was assessed using RT-qPCR, western blotting, Alizarin Red and alkaline phosphatase staining. A total of 364 DEGs were identified in NSCLC tissues with bone metastases compared with NSCLC tissues without bone metastases, including 140 upregulated and 224 downregulated genes. Gene Ontology analysis results demonstrated that the upregulated and downregulated genes were primarily enriched in 'cellular process', 'metabolic process' and 'biological regulation'. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis revealed that the upregulated genes were primarily enriched in 'cysteine and methionine metabolism', 'oxidative phosphorylation' and 'ribosome', whereas the downregulated genes were primarily enriched in the 'transcriptional misregulation in cancer', 'ribosome' and 'mitophagy-animal' pathways. COL6A1 was highly expressed in NSCLC tissue samples with bone metastases. Functionally, COL6A1 overexpression induced the proliferation and invasion of HARA cells, and its knockdown inhibited the proliferation and invasion of HARA-B4 cells. Finally, it was demonstrated that HOB and hES-MP 002.5 cells exhibited osteogenic capacity, and overexpression of COL6A1 in HARA cells increased the adhesion of these cells to the osteoblasts, whereas knockdown of COL6A1 in HARA-B4 cells reduced their adhesive ability. In conclusion, COL6A1 may serve as a potential diagnostic marker and therapeutic target for bone metastasis in NSCLC.

Osteogenic and brain metastases after non-small cell lung cancer resection

BACKGROUND

A significant number of non-small cell lung cancer (NSCLC) patients develop osteogenic metastases (OMs) and/or brain metastases (BMs) after surgery, however, routine chest computed tomography (CT) sometimes fails to diagnose these recurrences. We investigated the incidence of BMs and OMs after pulmonary resection and aimed to identify candidates who can benefit from brain magnetic resonance imaging (MRI) and ¹⁸F-fluorodeoxyglucose-positron emission tomography (FDG-PET) in addition to CT.

METHODS

We retrospectively reviewed medical records of 1099 NSCLC patients who underwent pulmonary resection between 2002 and 2013. Clinicopathological factors associated with OM and/or BM were investigated using univariate and multivariate analyses.

RESULTS

Postoperative recurrence occurred in 344 patients (32.6%). OMs were diagnosed in 56 patients (5.6%) with 93% within 3 years. BMs were identified in 72 patients (6.6%) with 91.1% within 3 years. Multivariate analysis revealed that poorly differentiated tumor and the presence of pathological nodal metastases were significantly associated with postoperative BM (p = 0.037, < 0.001), preoperative serum carcinoembryonic antigen (CEA) level of 5 ng/mL or higher and the presence of pathological nodal metastases were significantly associated with OM (p = 0.034, < 0.001). The prevalence of OM and/or BM in 5 years was as high as 25.9% in patients with pathological nodal metastases.

CONCLUSIONS

We identified significant predictive factors of postoperative BM and OM. Under patient selection, the effectiveness of intensive surveillance for the modes of recurrence should be investigated with respect to earlier detection, maintenance of quality of life, and survival outcomes.

Correlation of exosomal microRNA clusters with bone metastasis in non-small cell lung cancer

20–40% of lung cancer patients develop bone metastasis (BM) with significantly decreased overall survival. Currently, BM is mainly diagnosed by computerized tomography (CT) scan or magnetic resonance imaging (MRI) when symptom develops. Novel biomarkers with higher prediction value of BM are needed. Plasma-derived exosomal microRNAs had been isolated and sequenced of total 30 non-small cell lung cancer (NSCLC) patients including 16 with bone metastasis and 14 without bone metastasis. Hierarchical clustering based on the total miRNA profile can clearly separate cancer patients and healthy individuals (H), but not patients with (BM +) or without (BM−) BM. Weight Co-expression network of miRNAs (WGCNA) analyses identified three consensus clusters (A, B, C) of highly correlated miRNAs, among which cluster B (144 miRNAs) showed significantly differential expression in lung cancer patients, especially in BM + group. Pathway analysis of cluster B miRNAs revealed enrichment in metabolic pathways that may involve in preconditioning of the metastatic niche. Three differentially expressed miRNAs between BM + and BM− patients within cluster B were identified as miR-574-5p, a suppressor of Wnt/β-catenin pathway, was down-regulated, while miR-328-3p and miR-423-3p, two activators of the same pathway, were up-regulated in BM + patients. Cluster A miRNAs (n = 49) also showed trend of upregulation in BM + patients. Interestingly, pathway analysis indicated that 43 of them are associated with chromosome14, which has been suggested to promote epithelial-mesenchymal transition (EMT) and bone metastasis.

Single nucleotide polymorphisms within the Wnt pathway predict the risk of bone metastasis in patients with non-small cell lung cancer

The Wingless-type (Wnt) signaling pathway plays an important role in the development and progression of cancer. This study aimed to evaluate the relationship between single nucleotide polymorphisms (SNPs) in the Wnt pathway and the risk of bone metastasis in patients with non-small cell lung cancer (NSCLC). We collected 500 blood samples from patients with NSCLC and genotyped eight SNPs from four core genes (WNT2, AXIN1, CTNNB1 and APC) present within the WNT pathway. Moreover, we assessed the potential relationship of these genes with bone metastasis development. Our results showed that the AC/AA genotype of CTNNB1: rs1880481 was associated with a decreased risk of bone metastasis. Polymorphisms with an HR of < 1 had a cumulative protective impact on the risk of bone metastasis. Furthermore, patients with the AC/AA genotype of CTNNB1: rs1880481 was associated with Karnofsky performance status score, squamous cell carcinoma antigen and Ki-67 proliferation index. Lastly, patients with the AC/AA genotype of CTNNB1: rs1880481 had significantly longer median progression free survival time than those with the CC genotype. In conclusion, SNPs within the Wnt signaling pathway are associated with a decreased risk of bone metastasis, and may be valuable biomarkers for bone metastasis in patients with NSCLC.

Bone Metastasis: Current State of Play

Bone metastasis (BM) in cancer remains a critical issue because of its associated clinical and biological complications. Moreover, BM can alter the quality of life and survival rate of cancer patients. Growing evidence suggests that bones are a fertile ground for the development of metastasis through a "vicious circle" of bone resorption/formation and tumor growth. This review aims to outline the current major issues in the diagnosis and management of BM in the most common types of osteotropic cancers and describe the mechanisms and effects of BM. First, we discuss the incidence of BM through the following questions: Are we witnessing an increase in incidence, and are we now better equipped with modern imaging techniques? Is the advent of efficient bone resorption inhibitors affecting the bigger picture of BM management? Second, we discuss the potential effects of cancer progression and well-prescribed drugs, such as multitarget tyrosine kinase inhibitors, inhibitors of the mammalian target of rapamycin, and immune checkpoint inhibitors, on BM. Finally, we examine the duality of the effects of some therapies that may help in cancer treatment but may also contribute to further BM.

Different distant metastasis patterns based on tumor size could be found in extensive-stage small cell lung cancer patients: a large, population-based SEER study

BACKGROUND

Small-cell lung cancer (SCLC) is a malignant cancer with the ability to metastasize quickly. The relationship between tumor size and the distant metastasis patterns of Extensive-Stage Small Cell Lung Cancer (ES-SCLC) has not been reported.

OBJECTIVES

The aim of this study was to determine the different distant metastasis patterns as they related to tumor size in ES-SCLC.

PATIENTS AND METHODS

We used Surveillance, Epidemiology, and End Results (SEER) population-based data collected from 2010 through 2013 to identify 11058 ES-SCLC patients with definite evidence of distant metastases. Multivariate logistic regression analysis was used to demonstrate the association between tumor size and distant metastasis patterns including bone, liver, brain, and lung metastases. Age, race, sex, and N stage were also selected in the logistic regression model.

RESULTS

Subtle differences in metastasis patterns were found among patients based on different tumor sizes. Patients with tumors 3-7 cm have a higher risk of bone metastasis compared with those that have tumors ≤3 cm (OR 1.165, 95% CI [1.055-1.287], P = 0.003) and patients with tumors ≥7 cm have a higher risk of lung metastasis (OR 1.183, 95% CI [1.039-1.347], P = 0.011). In addition, patients with tumors ≥7 cm had a lower risk of brain metastasis and liver metastasis than patients with tumors ≤3 cm (OR 0.799, 95% CI [0.709-0.901], P < 0.001; OR 0.747, 95% CI [0.672-0.830], P < 0.001). Interestingly, there was no correlation between a larger tumor and a higher risk of metastasis. However, the tumor metastasis pattern did have some correlation with age, gender, race and N-status.

CONCLUSION

The pattern of distant metastasis of ES-SCLC is related to the tumor size and the tumor size is indicative of the metastatic site. Larger tumor sizes did not correlate with a higher risk of distant metastasis, but the size is related to the pattern of distant metastasis. The study of different distant metastasis patterns based on tumor size and other clinical features (e.g., age, race, sex, and N stage) in ES-SCLC is clinically valuable.

Bone metastases and skeletal-related events: incidence and prognosis according to histological subtype of lung cancer

AIM

Estimate the incidence of bone metastases (BM) and skeletal-related events according to the histological subtype of lung cancer and its impact on patient survival.

PATIENTS & METHODS

Retrospective cohort study was carried out with patients diagnosed with lung cancer. Cumulative incidence, Kaplan-Meier survival analysis and the risk of death were estimated.

RESULTS

In non-small-cell lung cancer (NSCLC), the cumulative incidence of BM during follow-up was 23.8% at 24 months; in small-cell lung cancer, it was 18.5%. The presence of BM in patients with NSCLC was associated with an increased risk of death (hazard ratio: 1.25; 95% CI: 1.04-1.49; p = 0.013).

CONCLUSION

This study revealed a high incidence of BM and skeletal-related events. BM was associated with a poor prognosis in NSCLC patients.

Risk factors for bone metastasis in patients with primary lung cancer: A systematic review

BACKGROUND

Bone metastases (BM) are prevalent among lung cancer (LC) patients. Although some studies revealed associated factors for BM, each of these papers focused on a few factors. Few studies have identified the potential risk factors through a systematic review.

METHODS

We searched through PubMed, MEDLINE, Web of Science, EMBASE, Cochrane Library and Cochrane Central Registerof Controlled Trials for literature from January 1990 to November 2017. The types of literature included case-control studies, cohort studies, randomized controlled trials and systematic reviews.

RESULTS

From included 12 studies, we identified that lower blood calcium, T4 stage, N3 stage, P-stage III, nonsquamous, bone sialoprotein expression, elevated carcino-embryonic antigen levels were risk factors for bone metastasis in lung cancer patients.

CONCLUSION

We identified that T4 stage, N3 stage, and positive bone sialoprotein expression associated with an increased risk of bone metastasis. Further studies are needed to assess these relationships and to establish the risk prediction model of bone metastasis.

[Risk Factors of Non-small Cell Lung Cancer with Bone Metastasis after Therapy]

背景与目的

肺癌目前是死亡率最高的肿瘤, 非小细胞肺癌(non-small cell lung cancer, NSCLC)患者在手术后通常会发生远处转移, 如骨转移、脑转移、肺转移等。本研究旨在探究NSCLC患者术后发生骨转移的危险因素。

方法

选择本院于2009年5月-2011年5月确诊收治的NSCLC患者176例, 按照是否发生骨转移将患者分为两组, 即骨转移组和无骨转移组。对比两组患者的一般临床病理资料, 并通过多因素分析对比发生骨转移的独立危险因素。

结果

NSCLC患者的一般临床病理资料中血栓与否, 肿瘤-淋巴结-转移(tumor-node-metastasis, TNM)分期与是否发生骨转移关系密切, 有统计学意义(均P < 0.01);在两组患者的凝血功能指标中发现凝血酶原时间、活化部分凝血酶活酶时间、纤维蛋白原、凝血酶时间、血小板计数、D-二聚体以及碱性磷酸酶之间存在明显的差异性, 有统计学意义(均P < 0.05);Logistic回归分析发现纤维蛋白原、碱性磷酸酶、T4期、N3期和D-二聚体为NSCLC患者发生骨转移的独立危险因素。

结论

纤维蛋白原、活化部分凝血酶活酶时间、碱性磷酸酶、T3期、N2期和D-二聚体为NSCLC患者发生骨转移的独立危险因素。

Bone turnover markers and novel biomarkers in lung cancer bone metastases

CONTEXT

Lung cancer still remains the leading cause of cancer-related mortality worldwide. Bone is one of preferred metastatic sites for lung cancer cells. So far, both accurate diagnosis and effective treatment of lung cancer bone metastases are difficult.

OBJECTIVE

This review aimed to evaluate roles of bone turnover markers (BTMs), microRNAs (miRNAs), dickkopf1 (DKK1) and insulin like growth factor binding protein 3 (IGFBP-3) in lung cancer bone metastases.

METHODS

We searched articles about these four biomarkers in lung cancer bone metastases mainly in PubMed.

RESULT

The levels of bone specific alkaline phosphatase (BALP), cross-linked carboxy-terminal telopeptide of type-I collagen (ICTP) and N-terminal telopeptides of type-I collagen (NTX) were reported to be significantly increased in lung cancer patients with bone metastases. ALP, NTX and bone sialoprotein were thought to be associated with prognosis of lung cancer patients with bone metastases. MiRNA-335, miRNA-33a, miRNA-21, DKK1 and IGFBP-3 were revealed to be novel biomarkers in lung cancer bone metastases.

DISCUSSION AND CONCLUSION

Current researches have revealed that BTMs, miRNAs, DKK1 and IGFBP-3 may be useful in diagnosis, prognosis evaluation or treatment of lung cancer bone metastases. More studies about these biomarkers in lung cancer bone metastases are needed.