Evidence map›Paper›PMID 41553571›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2026

Exploring the molecular function of LYPD3 from pan-cancer to lung cancer: based on bioinformatics and cellular experiments.

Yuan-Xiang Shi, Jian-Hua Yan, Peng-Hui Dai

Abstract read
In one paragraph

Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2026. 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

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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Yuan-Xiang ShiInstitute of Clinical Medicine, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China. yuanxiangshi@hunnu.edu.cn.
Jian-Hua YanInstitute of Clinical Medicine, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China.
Peng-Hui DaiInstitute of Clinical Medicine, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China.

Funding

National Natural Science Foundation of China 82104304
6 · The paper itself

Abstract

As a major disease that seriously threatens human health, the prevention and control of malignant tumors has become an important challenge for global public health. In this study, we first investigated the expression level, prognostic value, and diagnostic value of LYPD3 in pan-cancer, and its effects on the immune microenvironment, genetic variation, and antitumor drug sensitivity. RT-PCR and western blot were used to detect the transfection efficiency. Cell apoptosis was detected by flow cytometry. Transwell assay for detection of cell invasion and migration. Western blot was used to detect the expression of Bax, Bcl-2, E-cadherin, N-cadherin and Vimentin. LYPD3 showed high expression in lung cancer, both at the mRNA and protein level. Single-cell transcriptome and spatial transcriptomics reveal that LYPD3 is highly expressed in tumor cells and tumor-associated fibroblasts. ROC analysis revealed that LYPD3 exhibited significant diagnostic efficacy in pan-cancer, and Cox regression analysis revealed that LYPD3 expression was significantly associated with the risk of death in certain cancer types. LYPD3 has a good diagnostic value and prognostic predictive value in pan-cancer. GDSC and CTRP data analysis confirmed that LYPD3 expression was negatively correlated with the drug sensitivity of lapatinib, erlotinib, and afatinib. Focusing on the expression of LYPD3 in lung cancer, cellular experiments revealed that LYPD3 promotes lung cancer cell invasion and metastasis while inhibiting apoptosis. Meanwhile, LYPD3 has a good diagnostic value and prognostic prediction value.

Indexed as

Lung NeoplasmsApoptosisBiomarkers, TumorCell Line, TumorCell MovementComputational BiologyGene Expression Regulation, NeoplasticHumansPrognosisTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID41553571
PMCPMC12816081

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.