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Poster session 08

116P - Single-cell RNA sequencing reveals a subset of FSIP1 cancer cells and verified its value of prognosis in lung adenocarcinoma

Date

14 Sep 2024

Session

Poster session 08

Presenters

Xiaochen Zhang

Citation

Annals of Oncology (2024) 35 (suppl_2): S238-S308. 10.1016/annonc/annonc1576

Authors

X. Zhang1, Q. Zou2, W. Li2, S. Zhang2

Author affiliations

  • 1 Medical Oncoogy, The First Affiliated Hospital, Zhejiang University, 310003 - Hangzhou/CN
  • 2 Translational Medicine Research Center, Affiliated Hangzhou First People’s Hospital, School of Medicine, Westlake University, 310006 - Hangzhou/CN

Resources

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Abstract 116P

Background

Lung adenocarcinoma (LUAD) is the most prevalent subtype of non-small cell lung cancer. The prognostic role of Fibrous sheath interacting protein 1 (FSIP1) in LUAD remains unclear. Thus, this study aims to identify and validate the prognostic value of FSIP1 in LUAD and explore its molecular functions.

Methods

Single-cell RNA sequencing (scRNA-seq) data of LUAD patients were collected from Gene Expression Omnibus (GEO) database, the major cell types were identified based on known markers. Additionally, the expression of FSIP1 was detected in 180 LUAD samples, Kaplan-Meier (KM) analysis of high- and low-expression patients was conducted. Univariate and multivariate Cox regression analyses were utilized to assess the prognostic ability of FSIP1. Then, FSIP1-silenced human LUAD cell lines were constructed, and the functions of FSIP1 were explored. Finally, immune infiltration analysis was performed in LUAD patients.

Results

In this study, we identified LUAD FSIP1+ cancer cells by using scRNA-seq data from GEO database. Additionally, we investigated the protein level and prognostic value of FSIP1 in 98 LUAD patients using Tissue Microarray. Compared with the adjacent, FSIP1 was higher expressed in LUAD tissues. KM analysis revealed that the 5-year OS rate to be 30% to 59% (FSIP1High vs FSIP1Low) in Tissue Microarray. Univariate and multivariate COX regression showed that FSIP1 should be an independent factor in poor prognosis. The receiver operating characteristic curve (ROC) and time-ROC curve both indicated that FSIP1 had a good performance in prognostic model. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that FSIP1 was associated with migration. Migration assay and Western blotting showed that FSIP1 influenced cell migration and PI3K/AKT pathway. FSIP1 could influence the immune cell infiltration in lung adenocarcinoma patients.

Conclusions

This study verified that FSIP1 could serve as a valuable prognostic biomarker in LUAD and analyzed its impact on the disease and its association with the immune infiltration. The findings of this research provide valuable insights into the understanding of LUAD and could potentially lead to the development of new treatment strategies.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

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