Antiangiogenic therapy in nonsmall cell lung cancer. Curr Opin Oncol. 2008;20:176-182. [PMID: 18300767 DOI: 10.1097/CCO.0b013e3282f4e55e]

Development and Validation of a Risk Prediction Model for Venous Thromboembolism in Lung Cancer Patients Using Machine Learning

Background

There is currently a lack of model for predicting the occurrence of venous thromboembolism (VTE) in patients with lung cancer. Machine learning (ML) techniques are being increasingly adapted for use in the medical field because of their capabilities of intelligent analysis and scalability. This study aimed to develop and validate ML models to predict the incidence of VTE among lung cancer patients.

Methods

Data of lung cancer patients from a Grade 3A cancer hospital in China with and without VTE were included. Patient characteristics and clinical predictors related to VTE were collected. The primary endpoint was the diagnosis of VTE during index hospitalization. We calculated and compared the area under the receiver operating characteristic curve (AUROC) using the selected best-performed model (Random Forest model) through multiple model comparison, as well as investigated feature contributions during the training process with both permutation importance scores and the impurity-based feature importance scores in random forest model.

Results

In total, 3,398 patients were included in our study, 125 of whom experienced VTE during their hospital stay. The ROC curve and precision–recall curve (PRC) for Random Forest Model showed an AUROC of 0.91 (95% CI: 0.893–0.926) and an AUPRC of 0.43 (95% CI: 0.363–0.500). For the simplified model, five most relevant features were selected: Karnofsky Performance Status (KPS), a history of VTE, recombinant human endostatin, EGFR-TKI, and platelet count. We re-trained a random forest classifier with results of the AUROC of 0.87 (95% CI: 0.802–0.917) and AUPRC of 0.30 (95% CI: 0.265–0.358), respectively.

Conclusion

According to the study results, there was no conspicuous decrease in the model’s performance when use fewer features to predict, we concluded that our simplified model would be more applicable in real-life clinical settings. The developed model using ML algorithms in our study has the potential to improve the early detection and prediction of the incidence of VTE in patients with lung cancer.

A comparison of CD105 and CD31 expression in tumor vessels of hepatocellular carcinoma by tissue microarray and flow cytometry

Tumor endothelial cells (TECs) have been isolated from solid tumors by using immunological magnetic beads and magnetic active cell sorting, and lead to a more precise way to investigate tumor angiogenesis as well as screening of vascular targeting drugs. However, the question of which endothelial marker is a stable molecular signature in TECs and can be used for the isolation of TECs from tumor tissues remains unclear. In this study, we investigated the endothelial markers CD105 and CD31 in the tumor vessels from 90 patients with hepatocellular carcinoma (HCC) by tissue microarray, in addition to their expression in TECs isolated from fresh tissues resected from 11 patients with HCC by flow cytometry and confocal microscopy. The results revealed that among 90 cases of TMA, all tumor vessels were CD31 positive whereas 39 cases (43.3%) had little or no CD105 expression in tumors and their vessels but not peritumoral tissue spots, and that among these 39, 29 cases (74.4%) were poor-differentiated HCC. These findings were further verified by flow cytometry and confocal analysis of TECs isolated from HCC. Overall, the results suggested that CD105 may not be expressed in TECs derived from poor-differentiated HCC cases. In addition, combined with previous studies in which CD105 is not only expressed in TECs, but also in tumor cells, the results indicated a high risk of contamination with CD105⁺ tumor cells. Thus, there is a limitation to the use CD105 as an endothelial marker for the isolation of TECs.

Response Assessment of 68Ga-DOTA-E-[c(RGDfK)]2 PET/CT in Lung Adenocarcinoma Patients Treated with Nintedanib Plus Docetaxel

Nintedanib is an oral angiokinase inhibitor used as second-line treatment for non-small cell lung cancer. New radiotracers, such as ⁶⁸Ga-DOTA-E-[c(RGDfK)]², that target α_vβ₃ integrin might have an impact as a noninvasive method for assessing angiogenesis inhibitors. Methods: From July 2011 through October 2015, 38 patients received second-line nintedanib plus docetaxel. All patients underwent PET/CT with ⁶⁸Ga-DOTA-E-[c(RGDfK)]² radiotracer and blood-sample tests to quantify angiogenesis factors (fibroblast growth factor, vascular endothelial growth factor, and platelet-derived growth factor AB) before and after completing 2 therapy cycles. Results: Of the 38 patients, 31 had available baseline and follow-up PET/CT. Baseline lung tumor volume addressed with ⁶⁸Ga-DOTA-E-[c(RGDfK)]² PET/CT correlated with serum vascular endothelial growth factor levels, whereas baseline lung/liver SUV_max index correlated with platelet-derived growth factor AB. After treatment, the overall response rate and disease control rate were 7.9% and 47.3%, respectively. A greater decrease in lung tumor volume (-37.2% vs. -27.6%) was associated with a better disease control rate in patients (P = 0.005). Median progression-free survival was 3.7 mo. Nonsmokers and patients with a higher baseline lung tumor volume were more likely to have a higher progression-free survival (6.4 vs. 3.74 [P = 0.023] and 6.4 vs. 2.1 [P = 0.003], respectively). Overall survival was not reached. Patients with a greater decrease in lung SUV_max (not reached vs. 7.1 mo; P = 0.016) and a greater decrease in the lung/spleen SUV_max index (not reached vs. 7.1; P = 0.043) were more likely to have a longer overall survival. Conclusion:⁶⁸Ga-DOTA-E-[c(RGDfK)]² PET/CT is a potentially useful tool for assessing responses to angiogenesis inhibitors. Further analysis and novel studies are warranted to identify patients who might benefit from this therapy.

A multicenter, randomized, double-blind, placebo-controlled study to evaluate the efficacy of paclitaxel-carboplatin alone or with endostar for advanced non-small cell lung cancer

INTRODUCTION

Recombinant human endostatin is a novel inhibitor of tumor angiogenesis that acts specifically on neovascular endothelial cells. Studies have shown that endostar plus vinorelbine-cisplatin chemotherapy could improve objective response rates (ORR) and overall survival (OS) of advanced non-small cell lung cancer (NSCLC) patients. This study is to explore the clinical efficacy of endostar plus paclitaxel-carboplatin (TC) in advanced NSCLC patients.

METHODS

A phase II, multicenter, randomized, double-blind, placebo-controlled study was carried out. Patients were randomly assigned to the treatment (TC + endostar) or the control group (TC + placebo). The efficacy was evaluated at the end of each cycle. Follow-up continued until disease progression or death.

RESULTS

A total of 126 patients were enrolled, of whom 122 were evaluable, with 61 in each group. ORR was 39.3% in the treatment group versus 23.0% in the control group (p = 0.078), and the disease control rate was 90.2% versus 67.2% (p = 0.004), respectively. The median progression-free survival (PFS) was 7.1 versus 6.3 months (p = 0.522) in the treatment and control groups, the 24-week rate of PFS was 78% versus 59% (p = 0.017), and the median OS was 17.6 versus 15.8 months (p = 0.696), respectively. There were no significant differences, either in the incidence of adverse events or serious adverse events, between the two groups.

CONCLUSIONS

In previously untreated, advanced NSCLC patients, treatment with TC plus endostar seemed to improve ORR. However, the differences in PFS or OS between the two groups were not statistically significant. Treatment with TC plus endostar exhibited a good safety profile.

Antiangiogenic therapies: is VEGF-A inhibition alone enough?

Although available targeted therapies provide some clinical efficacy, a need remains for antiangiogenic therapies with alternative mechanisms in order to provide better outcomes and the ability to circumvent resistance. Inhibition of multiple VEGF targets may produce enhanced efficacy and more durable responses through synergistic effects, and prevent the development of escape mechanisms. Inhibition of VEGF-A, VEGF-C and VEGF-D with broad-spectrum VEGF receptor-2 (VEGFR-2) inhibitors, such as the novel protein therapeutic CT-322, may result in increased efficacy and prevent or delay acquired resistance and metastatic spread often seen with VEGF-A inhibition alone. Therefore, panoramic inhibition of VEGFR-2 may be a better approach to more effective antiangiogenic therapy. This article focuses on pivotal data on VEGF/VEGFR inhibitors currently in use, as well as newer agents in development.

Bee venom inhibits tumor angiogenesis and metastasis by inhibiting tyrosine phosphorylation of VEGFR-2 in LLC-tumor-bearing mice

Bee venom (BV) treatment is the therapeutic application of honeybee venom (HBV) for treating various diseases in Oriental medicine. In the present work, the authors investigated the functional specificity of BV as an angiogenesis inhibitor using in vitro models and in vivo mouse angiogenesis and lung metastasis models. BV significantly inhibited the viability of Lewis lung carcinoma (LLC) cells but did not affect peripheral blood mononuclear lymphocytes (PBML) cells. BV also inhibited vascular endothelial growth factor (VEGF)-induced proliferation, migration and capillary-like tube formation of human umbilical vein endothelial cells (HUVECs). Western blotting analysis showed that BV inhibited AKT and MAPK phosphorylation in LLC cells and HUVECs and down regulated expression of VEGF and VEGFR-2 of LLC cells and HUVECs. Also, BV effectively disrupted VEGF-induced neovascularization in Matrigel plugs in our in vivo angiogenesis assay. When given subcutaneously, BV also significantly suppressed tumor angiogenesis through inhibition of VEGF and VEGFR-2 in LLC model. Mice bearing subcutaneous LLC tumors were treated with 1mug/ml or 10mug/ml of BV. They showed reductions ranging between 49% and 62% in primary tumor volume and reduction of spontaneous pulmonary metastasis occurrences. Furthermore, BV treatment in the spontaneous lung metastases model after primary tumor excision prolonged their median survival time from 27 to 58days. These results suggest that the tumor-specific anti-angiogenic activity of BV takes effect during different stages of tumor progression by blocking the tyrosine phosphorylation of VEGFR-2, and validate the application of BV in lung cancer treatment.

Pazopanib: an antiangiogenic drug in perspective

Pazopanib, a tyrosine kinase inhibitor targeted to angiogenesis, has been tested in preclinical and clinical trials and has shown promising activity against a variety of solid tumors, such as renal cancer, all of which are related to the angiogenic pathway. It has a safety profile related to this mechanism of action. Diarrhea, hypertension, hair depigmentation and nausea are the most common side effects. Pazopanib is currently under evaluation as monotherapy and in combination with some potentially synergistic agents of proven activity.

Sorafenib

Sorafenib (BAY 43-9006, Nexavar) is a novel oral kinase inhibitor that targets multiple tyrosine kinases in vivo and in vitro. Main targets are receptor tyrosine kinase pathways frequently deregulated in cancer such as the raf-ras pathway, vascular endothelial growth factor (VEGF) pathway, and FMS-like tyrosine kinase 3 (FLT3). Sorafenib was approved by the FDA in fast track for advanced renal cell cancer and hepatocellular cancer and shows good clinical activity in thyroid cancer. Multiple clinical trials are undertaken to further investigate the role of sorafenib alone or in combination for the treatment of various tumor entities.

Research and application of tumor markers in esophageal squamous cell carcinoma

Esophageal squamous cell carcinoma (ESCC), the main type of esophageal cancer, is one of the most common gastrointestinal malignant cancers. Tumor markers detection are easy, economical, fast and non-invasive. Some tumor markers can be expressed before morphological changes occurred in tissues and organs; therefore, they can be used for the diagnosis of disease in the asymptomatic stage, thus making the research into tumor marker discovery even more meaningful. This paper summarizes several known tumor makers' expression detected in ESCC in recent years, and illustrates them from the aspects of genes, proteins, autoimmune antibodies, antigens and prognostic factors.

Molecular Basis of Pulmonary Disease

Pulmonary pathology includes a large spectrum of both neoplastic and non-neoplastic diseases that affect the lung. Many of these are a result of the unusual relationship of the lung with the outside world. Every breath that a human takes brings the outside world into the body in the form of infectious agents, organic and inorganic particles, and noxious agents of all types. Although the lung has many defense mechanisms to protect itself from these insults, these are not infallible; therefore, lung pathology arises. Damage to the lung is particularly important given the role of the lung in the survival of the organism. Any impairment of lung function has widespread effects throughout the body, since all organs depend on the lungs for the oxygen they need. Pulmonary pathology catalogs the changes in the lung tissues and the mechanisms through which these occur. This chapter presents a review of lung pathology and the current state of knowledge about the pathogenesis of each disease. It suggests that a clear understanding of both morphology and mechanism is required for the development of new therapies and preventive measures.