Abstract

Angiogenesis is frequent in non-small-cell lung cancer (nsclc) and is associated with more aggressive disease. Many clinical trials have evaluated the addition of antiangiogenic therapy to standard therapies for patients with nsclc. Bevacizumab, a monoclonal antibody directed against serum vascular endothelial growth factor, in combination with carboplatin-paclitaxel chemotherapy, has been shown to improve survival for patients with nsclc. However, bevacizumab-based therapy is not suitable for many nsclc patients, including those with squamous histology, poor performance status, brain metastases, and the presence of bleeding or thrombotic disorders. Similar efficacy has also been seen with carboplatin-pemetrexed followed by maintenance pemetrexed chemotherapy. In the second-line setting, the addition of ramucirumab to docetaxel-or the addition of bevacizumab to paclitaxel-has resulted in a modest improvement in efficacy, although the clinical importance of those findings is questionable. Many trials in nsclc have also evaluated oral antiangiogenic compounds, both in the first line in combination with chemotherapy and upon disease progression either as combination or single-agent therapy. No clear improvements in overall survival have been observed, although a subgroup analysis of a trial evaluating the addition of nintedanib to docetaxel showed improved survival that was limited to patients with adenocarcinoma. Those findings require validation, however. All of the oral antiangiogenic agents result in added toxicities. Some agents have resulted in an increased risk of death, limiting their development. Available evidence supports a limited number of antiangiogenic therapies for patients with nsclc, but no biomarkers to help in patient selection are currently available, and additional translational research is needed to identify predictive biomarkers for antiangiogenic therapy.

Highlights

  • Breast cancer has overtaken lung cancer as the most commonly diagnosed cancer globally in 2020 [1]

  • Non-negative matrix factorization (NMF) clustering was used to classify them into two groups named HAM1 and HAM2 (Figure 2)

  • Various patterns of expression were noticed for the eight genes which suggest that the histone acetylation modulators (HAMs) groups could be very different from the PAM50 intrinsic subtypes

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Summary

Introduction

Breast cancer has overtaken lung cancer as the most commonly diagnosed cancer globally in 2020 [1]. Breast cancer is widely accepted as a highly heterogeneous disease. The current approach to classifying breast cancer into clinical subtypes is based on the immunohistochemistry (IHC) results of estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2, and proliferation marker Ki67. This IHC based clinical subtyping system is not ideal, and gene expression profiling (intrinsic subtyping) reveals a deeper appreciation for the disease heterogeneity [2]. In 2000, Perou et al developed the PAM50 intrinsic subtypes of breast cancer based on a set of 50 genes [3]. Various other tests based on gene expression quantification have been developed to provide molecular stratification of breast cancer [4]

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