Factors predicting organ-specific distant metastasis in patients with completely resected lung adenocarcinoma

CT-based radiomics and clinical characteristics for predicting bone metastasis in lung adenocarcinoma patients

Background

The occurrence of bone metastasis (BM) will seriously shorten the survival time of lung adenocarcinoma patients and aggravate the suffering of patients. Computed tomography (CT)-based clinical radiomics nomogram may help clinicians stratify the risk of BM in lung adenocarcinoma patients, thereby enabling personalized individualized clinical decision making.

Methods

A total of 501 patients with lung adenocarcinoma from March 2017 to March 2019 were enrolled in the study. Based on plain chest CT images, 1130 radiomics features were extracted from each lesion. One-way analysis of variance (ANOVA) and least absolute shrinkage selection operator (LASSO) algorithm were used for radiomics features selection. Univariate and multivariate analyses were used to screen for clinical characteristics and identify independent predictors of BM. Three models (radiomics model, clinical model and combined model) were constructed to predict BM in lung adenocarcinoma patients. Receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to evaluate the performance of the three models. The DeLong test was used to compare the performance of the models.

Results

Finally, the clinical model for predicting BM in lung adenocarcinoma patients was constructed based on 5 independent predictors: cytokeratin 19-fragments (CYFRA21-1), stage, Ki-67, edge, and lobulation. The radiomics model was constructed based on 5 radiomics features. The combined model incorporating clinical independent predictors and radiomics was constructed. In the validation cohort, the area under the curve (AUC) of the clinical model, radiomics model and combined model was 0.824, 0.842 and 0.866, respectively. Delong test showed that in the training cohort, the AUC values of the radiomics model and the combined model were statistically different (P=0.03), and the AUC values of the other models were not statistically different. DCA showed that the nomogram had a highest net clinical benefit.

Conclusions

The CT-based clinical radiomics nomogram can be used as a non-invasive and quantitative method to help clinicians stratify the risk of BM in patients with lung adenocarcinoma, thereby enabling personalized clinical decision making.

Analysis of Angiogenesis-Related Signatures in the Tumor Immune Microenvironment and Identification of Clinical Prognostic Regulators in Lung Adenocarcinoma

Tumor angiogenesis is considered to be an important part of the mechanism of tumor progression and metastasis, and its specific function in lung adenocarcinoma has not been fully studied. In this study, we used the transcriptome and genome data of lung adenocarcinoma patients to analyze the expression of 36 angiogenesis regulators in lung adenocarcinoma. Consensus clustering analysis divided lung adenocarcinoma samples into 4 subtypes, A, B, C, and D, and the expression of most angiogenesis regulators in subtype B was higher than that in other subtypes. Immunological analysis indicated that subtype B is likely to display the characteristics of a hot tumor with a more active TME. With the help of Lasso-Cox regression analysis, we successfully constructed a risk model involving five Angiogenesis Regulators genes (CCND2, JAG1, MSX1, STC1, TIMP1), which will be helpful for clinical personalized treatment and prognosis prediction. In addition, JAG1 has the highest mutation rate in tumors, and its cancer-promoting function is reflected in a variety of tumors, which provides important clues for the development of new broad-spectrum anti-cancer targets in the future. We successfully constructed a risk model involving five angiogenesis regulators genes (CCND2, JAG1, MSX1, STC1, TIMP1), which may be helpful for clinical personalized treatment and prognosis prediction. In addition, JAG1 has the highest mutation rate in tumors and plays a leading role in the protein interaction network. Its tumor-promoting function is reflected in a variety of tumors and may become a broad-spectrum anti-cancer target in the future.

Update on adjuvant therapy in completely resected NSCLC patients

In patients with completely resected non‐small cell lung cancer (NSCLC), postoperative adjuvant chemotherapy has been associated with improvement in survival by minimizing the risk of recurrence. For years, systemic chemotherapy including platinum based regimen has been a mainstay treatment modality of adjuvant treatment after complete resection. ADAURA study showed that among completely resected IB to IIIA NSCLC, disease‐free survival was significantly better in patients under adjuvant osimertinib than a placebo group. After the advent of a variety of new treatment regimens, such as third generation TKI and immunotherapy, the landscape of postoperative adjuvant treatment has been changing. In this review, we discuss some key issues regarding choice of adjuvant treatment after complete resection in NSCLC, and provide further updates on recent advances in treatment modalities.

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.

Micropapillary Predominance Is a Risk Factor for Brain Metastasis in Resected Lung Adenocarcinoma

BACKGROUND

Histologic subtyping offers some prognostic value in lung adenocarcinoma. We thus hypothesized that histologic subtypes may be useful for risk stratification of brain metastasis (BM). In this study, we aimed to investigate the impact of histologic subtypes on the risk for BM in patients with resected lung adenocarcinoma.

PATIENTS AND METHODS

Of 1099 consecutive patients who had undergone curative-intent surgery (2000-2014), 448 patients who had undergone complete resection for lung adenocarcinoma were included in this study. Correlated clinical variables and BM-free survival were analyzed.

RESULTS

Micropapillary predominance was significantly associated with higher risk of BM after complete resection in univariate analyses (P < .001). In addition, multivariate analyses showed that micropapillary predominance was an independent risk factor for BM (hazard ratio = 2.727; 95% confidence interval, 1.260-5.900; P = .011), along with younger age and advanced pathologic stage. Unlike the other subtypes, an increase in the percentage of the micropapillary subtype was positively correlated with an increase in BM frequency. Patients with micropapillary adenocarcinoma showed significantly poorer brain metastasis-free survival compared with those with non-micropapillary adenocarcinoma (3 years, 78.2% vs. 95.6%; 5 years, 67.3% vs. 94.3%; P < .001).

CONCLUSION

The current study demonstrated a significant correlation between micropapillary subtype and higher risk of BM in patients with resected lung adenocarcinoma. This routine histologic evaluation of resected adenocarcinoma may provide useful information for the clinician when considering postoperative management in patients with lung adenocarcinoma. Histologic subtyping offer some prognostic value in lung adenocarcinoma. Because brain metastasis is critical and often refractory to systemic chemotherapy, early detection is clinically important to achieve effective local treatment. We retrospectively analyzed the association between histologic subtypes and occurrence of brain metastasis and found a significant association between micropapillary predominance and higher risk for brain metastasis. Our findings may be relevant when considering postoperative management.

Clinicopathological Factors Related to Recurrence Patterns of Resected Non-Small Cell Lung Cancer

Even after complete resection, non-small cell lung cancer (NSCLC) shows preferential recurrence in the mediastinal lymph nodes, lungs, brain, bone, liver, and adrenal gland. However, the relationship between clinicopathological factors and recurrence patterns after resection has not been well-evaluated. Among 688 NSCLC cases with complete resection between 2004 and 2016, 233 cases recurred at our institute. On multivariate analyses, NSCLCs with lymph node metastasis and pulmonary metastasis at surgery commonly recurred in the mediastinal lymph nodes and lungs, respectively. Young age, adenocarcinoma, and vascular invasion were correlated with brain metastasis. Although no variable was associated with bone metastasis, vascular invasion was correlated with postoperative liver and adrenal gland metastasis. Pathologically proven stage II or III NSCLC, adenocarcinoma, and the presence of lymphatic permeation would result in multiple metastases. Vascular invasion, larger invasive size, and advanced stage were independent risk factors of early recurrence. Considering survival, vascular invasion, elderly age, and non-adenocarcinoma were unfavorable prognostic factors after recurrence. Some clinicopathological variables were correlated with organ-specific metastasis and post-recurrence survival. Particularly, vascular invasion was a biomarker of brain, liver, and adrenal gland metastases and a prognostic marker after recurrence among completely resected NSCLC. This information is useful for more frequent patient follow-up and identifying organ-specific distant metastasis.

Histopathologic analysis of brain metastasis in pulmonary adenocarcinoma: Necrosis is a new risk factor

BACKGROUND

Studies have shown that 30-50% of non-small cell lung cancer (NSCLC) patients develop brain metastasis (BM). Since BM shortens overall survival and decreases the quality of life, early detection and treatment of BM are vital. While data are available for clinical risk factors of NSCLC with BM, histopathological factors are not well understood. Therefore, we evaluated the histopathological related factors which will help early detection and selection of effective treatment options.

MATERIALS AND METHODS

A total of 117 surgical lung specimens diagnosed as NSCLC with BM were included as a study group. We included 237 cases without BM as a control group. One pathologist reviewed H&E slides and analyzed the histopathologic factors of all cases.

RESULTS

In pulmonary adenocarcinoma, vascular invasion, N stage, micropapillary pattern and necrosis were significantly associated with BM in multivariate analysis (vascular invasion, p = 0.009; micropapillary pattern, p = 0.024; others, p < 0.001). Tumor with extensive necrosis had higher hazard ratio and shorter time to BM (p < 0.001).

CONCLUSION

Our findings suggest that necrosis is a new predictive factor of BM in pulmonary adenocarcinoma. Short term follow-up is needed especially when extensive necrosis is present.

Tumor characteristics of lung cancer in predicting axillary lymph node metastases

OBJECTIVE

In lung cancer, axillary lymph node metastases (ALM) are rare, and according to the 8th grading system, it is classified as M1b disease. The aim of this study is to evaluate1) the presence of ALM and2) the effect of the primary tumors characteristics on the development of ALM.

METHODS

We performed a descriptive cross-sectional study, with retrospective revision, to identify ALM.

RESULTS

There were 157 patients included in this analysis: ALM (63 patients) and control group (94 patients). The presence of extrathoracic lymph node, contralateral pulmonary parenchymal and distant metastasis and all SUVmax values were significantly higher in the study group versus the control group (P<0.05). The SUVmax value of the primary tumor was not a predictor of ALM. According to the primary histopathologic diagnosis, small cell lung cancer was found to cause ALM development 3.4 times as much as squamous cancer (SQC) (OR: 3.40 [95% CI 1.3-10.20], P=0.029) and adenocarcinoma group was found to cause ALM development 4 times as much as SQC (OR: 4.02 [95% CI 1.73-9.34], P=0.001). The likelihood of developing ALM was significantly higher in tumors located in the central and upper lobe versus the lower lobe.

CONCLUSION

The finding of ALM on PET/CT images, the necessity of histopathologic confirmation is determined according to the results of primary tumor localization, primary tumor histopathology, M stage on PET/CT imaging, localization of ALM according to primary tumor, and N stage on PET/CT imaging.

Overexpression of amplified in breast cancer 1 (AIB1) gene promotes lung adenocarcinoma aggressiveness in vitro and in vivo by upregulating C-X-C motif chemokine receptor 4

Background

We previously found that overexpression of the gene known as amplified in breast cancer 1 (AIB1) was associated with lymph node metastasis and poor prognosis in patients with lung adenocarcinoma. However, the role of AIB1 in that malignancy remains unknown. The present study aimed to investigate the function of AIB1 in the process of lung adenocarcinoma cell metastasis.

Methods

A series of in vivo and in vitro assays were performed to elucidate the function of AIB1, while real-time PCR and Western blotting were utilized to identify the potential downstream targets of AIB1 in the process of lung adenocarcinoma metastasis. Rescue experiments and in vitro assays were performed to investigate whether the invasiveness of AIB1-induced lung adenocarcinoma was mediated by C-X-C motif chemokine receptor 4 (CXCR4).

Results

The ectopic overexpression of AIB1 in lung adenocarcinoma cells substantially enhanced cell migration and invasive abilities in vitro and tumor metastasis in vivo, whereas the depletion of AIB1 expression substantially inhibited lung adenocarcinoma cell migration and invasion. CXCR4 was identified as a potential downstream target of AIB1 in lung adenocarcinoma. The knockdown of AIB1 greatly reduced CXCR4 gene expression at both the transcription and protein levels, whereas the knockdown of CXCR4 in cells with AIB1 ectopic overexpression diminished AIB1-induced migration and invasion in vitro and tumor metastasis in vivo. Furthermore, we found a significant positive association between the expression of AIB1 and CXCR4 in lung adenocarcinoma patients (183 cases), and the co-overexpression of AIB1 and CXCR4 predicted the poorest prognosis.

Conclusions

These findings suggest that AIB1 promotes the aggressiveness of lung adenocarcinoma in vitro and in vivo by upregulating CXCR4 and that it might be usable as a novel prognostic marker and/or therapeutic target for this disease.

Electronic supplementary material

The online version of this article (10.1186/s40880-018-0320-1) contains supplementary material, which is available to authorized users.

Potential Molecular Signatures Predictive of Lung Cancer Brain Metastasis

Brain metastases are the most common tumors of the central nervous system (CNS). Incidence rates vary according to primary tumor origin, whereas the majority of the cerebral metastases arise from primary tumors in the lung (40-50%). Brain metastases from lung cancer can occur concurrently or within months after lung cancer diagnosis. Survival rates after lung cancer brain metastasis diagnosis remain poor, to an utmost of 10 months. Therefore, prevention of brain metastasis is a critical concern in order to improve survival among cancer patients. Although several studies have been made in order to disclose the genetic and molecular mechanisms associated with CNS metastasis, the precise mechanisms that govern the CNS metastasis from lung cancer are yet to be clarified. The ability to forecast, which patients have a higher risk of brain metastasis occurrence, would aid cancer management approaches to diminish or prevent the development of brain metastasis and improve the clinical outcome for such patients. In this work, we revise genetic and molecular targets suitable for prediction of lung cancer CNS disease.

Identification of Factors for the Preoperative Prediction of Tumour Subtype and Prognosis in Patients with T1 Lung Adenocarcinoma

Aims. Identification of factors that can predict the subtypes of lung adenocarcinoma preoperatively is important for selecting the appropriate surgical procedure and for predicting postoperative survival. Methods. We retrospectively evaluated 87 patients with lung adenocarcinomas ≤30 mm. Results. Preoperative radiological findings, serum CEA level, serum microRNA-183 (miR-183) level, and tumour size differed significantly between patients with adenocarcinoma in situ (AIS) or minimally invasive adenocarcinoma (MIA) and those with invasive adenocarcinoma (IAC). Receiver operating characteristic curves and univariate analysis revealed that patients who were older than 57 years or had a pure solid nodule or a tumour with mixed ground-glass opacity (mGGO), a tumour >11 mm, a serum CEA level >2.12 ng/mL, or a serum miR-183 level >1.233 (2^-ΔΔCt) were more likely to be diagnosed with IAC than with AIS or MIA. The combination of all five factors had an area under the curve of 0.946, with a sensitivity of 89.13% and a specificity of 95.12%. Moreover, patients with a cut-off value >0.499 for the five-factor combination had poor overall survival. Conclusions. The five-factor combination enables clinicians to distinguish AIS or MIA from IAC, thereby aiding in selecting the appropriate treatment, and to predict the prognosis of lung adenocarcinoma patients.