4.6 Article

LncRNAs GIHCG and SPINT1-AS1 Are Crucial Factors for Pan-Cancer Cells Sensitivity to Lapatinib

Journal

FRONTIERS IN GENETICS
Volume 10, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fgene.2019.00025

Keywords

pan-cancer; computational analysis; LncRNAs; lapatinib; targeted therapy

Funding

  1. National Natural Science Foundation [NSF 81270622, 81772505]
  2. Bagui Talent Foundations [T3120097921, T3120099202, A3120099201, C31200992001]
  3. Innovation Foundation for Key Laboratory of Processing for Non-ferrous Metal and Featured Materials [AE3390003605]
  4. National Key R&D Program of China [2017YFC0908300, 2016YFC1303200]
  5. China 973 Program [2013CB733700, 2011CB510102]
  6. Shanghai Science and Technology Committee [18411953100]
  7. Cross-Institute Research Fund of Shanghai Jiao Tong University [YG2017ZD01, YG2015MS62]
  8. Innovation Foundation of Translational Medicine of Shanghai Jiao Tong University School of Medicine [15ZH4001, TM201617, TM 201702]
  9. Technology Transfer Project of Science & Technology Dept. Shanghai Jiao Tong University School of Medicine

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Lapatinib is a small molecule inhibitor of EGFR (HER1) and ERBB2 (HER2) receptors, which is used for treatment of advanced or metastatic breast cancer. To find the drug resistance mechanisms of treatment for EGFR/ERBB2 positive tumors, we analyzed the possible effects of IncRNAs. In this study, using COLE (Cancer Cell Line Encyclopedia) database, we explored the relationship between the IncRNAs and Lapatinib sensitivity/resistance, and then validated those findings through in vitro experiments. We found that the expression of EGFR/ERBB2 and activation of ERBB pathway was significantly related to Lapatinib sensitivity. GO (Gene Oncology) analysis of top 10 pathways showed that the sensitivity of Lapatinib was positively correlated with cell keratin, epithelial differentiation, and cell-cell junction, while negatively correlated with signatures of extracellular matrix. Forty-four differentially expressed IncRNAs were found between the Lapatinib sensitive and resistant groups (fold-change > 1.5, P < 0.01). Gene set variation analysis (GSVA) was performed based on 44 IncRNAs and genes in the top 10 pathways. Five IncRNAs were identified as hub molecules. Co-expression network was constructed by more than five IncRNAs and 199 genes in the top 10 pathways, and three IncRNAs (GIHCG, SPINT1-AS1, and MAGI2-AS3) and 47 genes were identified as close-related molecules. The three IncRNAs in epithelium-derived cancers were differentially expressed between sensitive and resistant groups, but no significance was found in non-epithelium-derived cancer cells. Correlation analysis showed that SPINT1-AS1 (R = -0.715, P < 0.001) and GIHCG (R = 0.557, P = 0.013) were correlated with the IC50 of epithelium-derived cancer cells. In further experiments, GIHCG knockdown enhanced cancer cell susceptibility to Lapatinib, while high level of SPINT1-AS1 was a sensitive biomarker of NCI-N87 and MCF7 cancer cells to Lapatinib. In conclusions, IncRNAs GIHCG and SPINT1-AS1 were involved in regulating Lapatinib sensitivity. Up-regulation of GIHCG was a drug-resistant biomarker, while up-regulation of SPINT1-AS1 was a sensitive indicator.

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