Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Characteristics and Predictive Value of PD-L1 Status in Real-World Non-Small Cell Lung Cancer Patients.

Journal of immunotherapy (Hagerstown, Md. : 1997) - 1 Jan 2000

Tseng Jeng-Sen, Yang Tsung-Ying, Wu Chih-Ying, Ku Wen-Hui, Chen Kun-Chieh, Hsu Kuo-Hsuan, Huang Yen-Hsiang, Su Kang-Yi, Yu Sung-Liang, Chang Gee-Chen

Abstract excerpt

Immunotherapy targeting the programmed cell death-1 (PD-1) and programmed cell death-ligand 1 (PD-L1) pathway has emerged as an effective treatment for lung cancer patients. It is important to evaluate the practicality of PD-L1 testing in real-world practice. A total of 211 non-small cell lung cancer patients were enrolled to detect 5 driver mutations and PD-L1 status (22C3 and SP263 assays) and to evaluate the...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aged, 80 and over
Share to B7-H1 Antigen

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Biomarkers, Pharmacological

Share to Carcinoma, Non-Small-Cell Lung

Share to Immunotherapy

Share to Lung Neoplasms

Share to Prognosis

Share to Progression-Free Survival

Source

Identifiers

PMID: 29683890
DOI: 10.1097/CJI.0000000000000226

Genes

ALK
BRAF
EGFR

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Characteristics and Predictive Value of PD-L1 Status in Real-World Non-Small Cell Lung Cancer Patients.PMID 29683890Read ↗

Clinicopathological and molecular characteristics associated with PD-L1 expression in non-small cell lung cancer: a large-scale, multi-center, real-world study in China.Semantic proximity Read ↗

Who Will Benefit Most From PD-L1 Detection and Immunotherapy in Non-small Cell Lung Cancer?Semantic proximity Read ↗

A retrospective analysis of eleven gene mutations, PD-L1 expression and clinicopathological characteristics in non-small cell lung cancer patients.Semantic proximity Read ↗

PD-L1 Expression and Comprehensive Molecular Profiling Predict Survival in Nonsmall Cell Lung Cancer: A Real-World Study of a Large Chinese Cohort.Semantic proximity Read ↗

PD-L1 expression and its correlation with clinicopathological and molecular characteristics in Chinese patients with non-small cell lung cancer.Semantic proximity Read ↗

Profiling non-small cell lung cancer reveals that PD-L1 is associated with wild type EGFR and vascular invasion, and immunohistochemistry quantification of PD-L1 correlates weakly with RT-qPCR.Semantic proximity Read ↗

[A Real-world Study on the Assessment of Pathological Characteristics and Targeted Therapeutic Effect of Non-small Cell Lung Cancer Patients with Positive Driving Genes and High PD-L1 Expression].Semantic proximity Read ↗

Study on PD-L1 Expression in NSCLC Patients and Related Influencing Factors in the Real World.Semantic proximity Read ↗

PD-L1 expression and its clinicopathologic and genomic correlation in the non-small cell lung carcinoma patients: An Indian perspective.Semantic proximity Read ↗

Various impacts of driver mutations on the PD-L1 expression of NSCLC.Semantic proximity Read ↗

Association of PD-L1 expression with driver gene mutations and clinicopathological characteristics in non-small cell lung cancer: A real-world study of 10 441 patients.Semantic proximity Read ↗

Association between PD-L1 expression and driver gene mutations in non-small cell lung cancer patients: correlation with clinical data.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.