Identification of prognostic factors and nomogram model for patients with advanced lung cancer receiving immune checkpoint inhibitors

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PeerJ

Main article text

 

Introduction

Materials and Methods

Results

Clinical features of patients with lung cancer receiving immunotherapy

Univariate and multivariate analyses of biomarkers for PFS

Response rate and clinical benefit rate between different groups

Building and validating the nomogram for PFS

Discussion

Conclusions

Supplemental Information

All detailed information of patients with lung cancer treated immunotherapy.

DOI: 10.7717/peerj.14566/supp-1

Additional Information and Declarations

Competing Interests

The authors declared that they have no competing interests.

Author Contributions

Xiuqiong Chen conceived and designed the experiments, analyzed the data, authored or reviewed drafts of the article, and approved the final draft.

Zhaona Li performed the experiments, prepared figures and/or tables, and approved the final draft.

Jing Zhou performed the experiments, authored or reviewed drafts of the article, and approved the final draft.

Qianhui Wei analyzed the data, authored or reviewed drafts of the article, and approved the final draft.

Xinyue Wang performed the experiments, analyzed the data, prepared figures and/or tables, and approved the final draft.

Richeng Jiang conceived and designed the experiments, analyzed the data, authored or reviewed drafts of the article, and approved the final draft.

Data Availability

The following information was supplied regarding data availability:

The raw measurements are available in the Supplemental Files.

Funding

This present research was funded by the National Natural Science Foundation of China (to Richeng Jiang) (No. 82172620). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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