Evidence map›Paper›PMID 40927719›Full record

ArticleFrontiers in immunology2025

Integrative profiling of lung cancer biomarkers EGFR, ALK, KRAS, and PD-1 with emphasis on nanomaterials-assisted immunomodulation and targeted therapy.

Li Peng, Hongmei Li, Wencai Yan, Yingjie Liu, Haihao Zhu, Yingcai Hong

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Li Peng *Chongqing Emergency Medical Center, Chongqing, China.
Hongmei Li *Shanghai Labway Clinical Laboratory, Shanghai, China.
Wencai YanJiangsu Danyang Traditional Chinese Medicine Hospital, Danyang, Jiangsu, China.
Yingjie LiuShanghai Labway Clinical Laboratory, Shanghai, China.
Haihao ZhuShanghai Labway Clinical Laboratory, Shanghai, China.
Yingcai HongDepartment of Thoracic Surgery, Shenzhen People's Hospital (The First Affiliated Hospital, Southern University of Science and Technology; The Second Clinical Medical College, Jinan University), Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung cancer remains the leading cause of cancer-related mortality globally, primarily due to late-stage diagnosis, molecular heterogeneity, and therapy resistance. Key biomarkers such as EGFR, ALK, KRAS, and PD-1 have revolutionized precision oncology; however, comprehensive structural and clinical validation of these targets is crucial to enhance therapeutic efficacy. Methods: Protein sequences for EGFR, ALK, KRAS, and PD-1 were retrieved from UniProt and modeled using SWISS-MODEL to generate high-confidence 3D structures. Protein-protein interaction (PPI) networks were constructed via STRING to explore functional associations and signaling networks. Molecular docking using SwissDock evaluated the binding affinities of established inhibitors. Transcriptomic validation was conducted using RNA-seq datasets from GEPIA2, TNMplot, and UALCAN to assess differential expression and clinical subgroup relevance. Experimental validation was performed via qRT-PCR in NSCLC cell lines (A549, H1975, H520). Results: Robust 3D models were obtained, with MolProbity scores between 0.67 and 2.09, confirming structural reliability. Key mutations, including EGFR T790M and KRAS G12C, were localized to ATP-binding clefts and allosteric pockets respectively, based on structural mapping using SWISS-MODEL. PPI analysis revealed EGFR's integration into ERBB and MAPK/PI3K pathways, ALK's fusion-driven activation via EML4 and PI3K-AKT signaling, KRAS's links to MAPK effectors, and PD-1's interaction with immune checkpoint ligands PD-L1/PD-L2. Docking results showed strong EGFR-Gefitinib affinity (-5.94 kcal/mol, Kd 4.38 × 10 Conclusion: This integrative study combining structural modeling, molecular interaction analysis, and transcriptomic validation confirms EGFR, ALK, KRAS, and PD-1 supports their relevance as clinically actionable and structurally druggable biomarkers in NSCLC. These findings support their continued use in targeted therapy design and precision diagnostics, highlighting nanomaterials as ideal carriers due to their ability to enhance immune checkpoint blockade and drug bioavailability in NSCLC.

Indexed as

Anaplastic Lymphoma KinaseBiomarkers, TumorCarcinoma, Non-Small-Cell LungLung NeoplasmsProgrammed Cell Death 1 ReceptorProto-Oncogene Proteins p21(ras)Cell Line, TumorErbB ReceptorsGene Expression ProfilingHumansImmunomodulationMolecular Docking SimulationMolecular Targeted TherapyMutationProtein Interaction MapsALK protein, humanAnaplastic Lymphoma KinaseBiomarkers, TumorEGFR protein, humanErbB ReceptorsKRAS protein, humanPDCD1 protein, humanProgrammed Cell Death 1 ReceptorProto-Oncogene Proteins p21(ras)lung cancer biomarkersmolecular dockingprecision oncologystructural bioinformaticstranscriptomic validation

Identifiers

PMID40927719
PMCPMC12414981

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.