Identification of a Novel Prognostic Lymphangiogenesis-Related Signature Associated with Tumor Immunity for Guiding Therapy in Lung Adenocarcinoma

Author:

Peng Juan1ORCID,Liu Dan1,Zhang Hong-feng2,Hu Qi-hao3,Chen Wen4,Zou Juan5,Zhang Juan1,Li Hui1ORCID,Gao An-bo16ORCID,Li Yu-kun1ORCID

Affiliation:

1. Department of Assisted Reproductive Centre, Zhuzhou Central Hospital, Xiangya Hospital Zhuzhou Central South University, Central South University, Zhuzhou, Hunan, China

2. Department of Laboratory Medicine, Zhuzhou Central Hospital, Xiangya Hospital Zhuzhou Central South University, Central South University, Zhuzhou, Hunan, China

3. Department of Thoracic Surgery, The First People’s Hospital of Changde City, Changde, Hunan, China

4. Department of Respiratory and Critical Care Medicine, Zhuzhou Central Hospital, Xiangya Hospital Zhuzhou Central South University, Central South University, Zhuzhou, Hunan, China

5. Hunan Province Key Laboratory of Tumor Cellular and Molecular Pathology, Cancer Research Institute, Hengyang Medical School, University of South China, Hengyang, Hunan, China

6. Clinical Research Institute, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China

Abstract

Lymphangiogenesis, an integral contributor to lymphatic metastasis, is a significant reason for the poor prognosis of cancer patients. Anti-lymphangiogenesis treatment is a promising novel therapeutic direction, especially for tumors resistant to conventional therapies. We confirmed the ectopic expression of lymphangiogenesis-related genes (LRGs) in lung adenocarcinoma (LUAD) cohorts based on the TCGA database. We constructed a prediction signature with 15 LRG prognostic signatures (F2RL1, LOXL2, MKI67, PTPRM, GPI, POSTN, INHA, LDHA, LINC00857, ITGA2, PECAM1, SOD3, GDF15, SIX1, and FGD5), and the overall survival (OS) was significantly different between the high- and low-risk groups (TCGA-training: p<0.001, TCGA-test: p=0.02, GSE30219: p<0.001, GSE37745: p=0.002, and GSE50081: p=0.002). Moreover, the risk score was also associated with the PIK3CA and BRCA1 pathways. In the nomogram, the prognostic prediction of the risk score was better than that of clinicopathologic parameters in OS, including age, sex, stage, T stage, N stage, and M stage. In summary, we constructed and validated a 15-LRG signature, which may help predict the prognosis of LUAD and offer a possible direction for future research on downstream molecular mechanisms.

Funder

Natural Science Foundation of Hunan Province

Publisher

Hindawi Limited

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