Evidence map›Paper›PMID 39538166›Full record

ArticleBMC cancer2024

Identifying immunohistochemical biomarkers panel for non-small cell lung cancer in optimizing treatment and forecasting efficacy.

Xiaoya Zhang, Junhong Meng, Mingyue Gao, Cheng Gong, Cong Peng, Duxian Liu

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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.

Xiaoya ZhangDepartment of Pathology, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, No. 1-1 Zhongfu Road, Nanjing, Jiangsu, 210003, China.
Junhong MengDepartment of Pathology, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, No. 1-1 Zhongfu Road, Nanjing, Jiangsu, 210003, China.
Mingyue GaoDepartment of Pathology, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, No. 1-1 Zhongfu Road, Nanjing, Jiangsu, 210003, China.
Cheng GongDepartment of Pathology, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, No. 1-1 Zhongfu Road, Nanjing, Jiangsu, 210003, China.
Cong PengDepartment of Pathology, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, No. 1-1 Zhongfu Road, Nanjing, Jiangsu, 210003, China.
Duxian LiuDepartment of Pathology, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, No. 1-1 Zhongfu Road, Nanjing, Jiangsu, 210003, China. ldx849756917@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChemotherapy and immunotherapy for non-small-cell lung cancer (NSCLC) are gaining momentum. However, its long-term efficacy remains limited to only a small fraction of patients. Hence, it is crucial to identify reliable immunohistochemical biomarkers to facilitate the formulation of optimal treatment strategies and to predict therapeutic outcomes.

methodsWe retrospectively analyzed a cohort of 140 patients diagnosed with NSCLC who received chemotherapy or immunotherapy. Using bioinformatics analysis and machine learning techniques, we assessed the role of immunohistochemical biomarkers and clinical characteristics in developing a predictive model for treatment options and outcomes in this population.

resultsOur research has found that immunohistochemical biomarkers can accurately predict treatment regimens and progression-free survival in NSCLC patients with an accuracy rate of 82.1%. We identified an exclusive detection panel for the six vital biomarkers. Of particular note is the role of programmed cell death protein 1 ligand 1 (PD-L1) expression in guiding treatment selection, with high expression predicting better outcomes in the immunotherapy group at a cut-off value of 50%. Non-squamous patients who tested positive for thyroid transcription factor 1 had a longer median progression-free survival, while squamous patients who tested positive for p63 protein or cytokeratin 5/6 expression had a longer median progression-free survival.

conclusionsThe results of our study are highly encouraging, as they revealed a significant correlation between immunohistochemical biomarkers, therapeutic regimens, and prognosis. These findings indicate that our immunohistochemical detection panel has great potential for facilitating customization of therapeutic regimens to improve patient care. The insights gained from this study could help clinicians optimize treatment protocols and ultimately enhance clinical outcomes.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungImmunohistochemistryLung NeoplasmsAdultAgedAged, 80 and overB7-H1 AntigenFemaleHumansImmunotherapyKeratin-5Keratin-6MaleMiddle AgedPrognosisB7-H1 AntigenBiomarkers, TumorCD274 protein, humanKeratin-5Keratin-6KRT5 protein, humanNKX2-1 protein, humanThyroid Nuclear Factor 1Tumor Suppressor ProteinsImmunohistochemical biomarkersMachine learningNSCLCPrognostic predictionTherapeutic decision-making

Identifiers

PMID39538166
PMCPMC11562332

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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.