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pmid:37387407

Prognostic and immunological potential of PPM1G in lung adenocarcinoma.

Rongjiang Yin · Li Qu · Zhanqing Wang · Jian Tang · Hua Gu · Xiaohui Wang · Donglin Yang · Pengchao Du · Menghua Dong

Molecular medicine reports · 2023 doi:10.3892/mmr.2023.13043

Paper

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Experiment

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Data

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title
Prognostic and immunological potential of PPM1G in lung adenocarcinoma.
doi
10.3892/mmr.2023.13043
pmid
37387407
authors array · 9 items
[0]
Rongjiang Yin
[1]
Li Qu
[2]
Zhanqing Wang
[3]
Jian Tang
[4]
Hua Gu
[5]
Xiaohui Wang
[6]
Donglin Yang
[7]
Pengchao Du
[8]
Menghua Dong
journal
Molecular medicine reports
year
2023
abstract
Lung cancer is one of the most common types of cancer worldwide, with the highest incidence and mortality rates. Protein phosphatase, Mg2+/Mn2+ dependent 1G (PPM1G) is a serine/threonine phosphatase, which is involved in the proliferation, invasion and metastasis of tumor cells. However, there are few reports on the role of PPM1G in lung adenocarcinoma (LUAD). The present study used publicly available data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus databases to evaluate the expression of PPM1G in LUAD, and to assess the relationship between PPM1G expression and the prognosis of patients with LUAD. Protein expression data of PPM1G obtained by immunohistochemical staining were collected from the Human Protein Atlas database. The correlation between PPM1G and immune cell infiltration and immune checkpoints was analyzed by single‑sample gene set enrichment analysis of TCGA data. The Kaplan‑Meier method was used for survival analysis, and univariate and multivariate Cox regression were used to analyze the effect of PPM1G on prognosis with data from TCGA database. The results showed that PPM1G was highly expressed in LUAD cancer tissues. The high expression of PPM1G was associated with poor clinical stage, T stage, N stage and overall survival in LUAD. The present study screened 29 genes related to PPM1G and closely related to the cell cycle in patients with LUAD. The expression of PPM1G was positively correlated with γδ‑Τ cells, T helper 2 cells and natural killer CD56dim cells, and was negatively correlated with B cells, mast cells, plasmacytoid dendritic cells, T helper cells, macrophages, T cells, CD8 T cells, central memory T cells, effector memory T cells, neutrophils and T follicular helper cells. In addition, PPM1G was positively correlated with immune detection points. In conclusion, PPM1G may be involved in the control of the lung cancer cell cycle, and could be associated with prognosis and immune infiltration in patients with LUAD.
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The Kaplan-Meier method was used for survival analysis, and univariate and multivariate Cox regression were used to analyze the effect of PPM1G on prognosis with data from TCGA database.
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The Kaplan-Meier method was used for survival analysis, and univariate and multivariate Cox regression were used to analyze the effect of PPM1G on prognosis with data from TCGA database.
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The datasets used and/or analyzed during the current study available from the corresponding author on reasonable request.
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Kaplan-Meier survival analysis revealed that high PPM1G expression was associated with poor prognosis in patients with LUAD (HR=1.82; P<0.001; Fig. 4A).
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Kaplan-Meier survival analysis revealed that high PPM1G expression was associated with poor prognosis in patients with LUAD (HR=1.82; P<0.001; Fig. 4A).
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sections[17] "High PPM1G expression is an independent prognostic factor for OS in LUAD" paragraph 2
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Kaplan-Meier survival analysis revealed that high PPM1G expression was associated with poor prognosis in patients with LUAD (HR=1.82; P<0.001; Fig. 4A).
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Kaplan-Meier survival analysis revealed that high PPM1G expression was associated with poor prognosis in patients with LUAD (HR=1.82; P<0.001; Fig. 4A).
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307
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null
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null
platform
570
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Homo sapiens
title
"Off-context" gene expression in lung cancer identifies a group of metastatic-prone tumors
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2026-11-01T15:39:54Z
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[3]
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[5]
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method-1
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survival_analysis
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kaplan_meier
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Survival analysis
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survival_km
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The Kaplan-Meier method was used for survival analysis, and univariate and multivariate Cox regression were used to analyze the effect of PPM1G on prognosis with data from TCGA database.
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method-2
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group_comparison
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evidence object · 3 fields
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Group comparison
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group_comparison_wilcoxon
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evidence object · 3 fields
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method-5
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survival_analysis
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Survival analysis
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time_to_event_with_censoring
evidence object · 3 fields
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method-6
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survival_analysis
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0.8
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correlation_analysis
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evidence object · 3 fields
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0.8
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[0] object · 8 fields
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target-published-estimate
claim_id
claim-target-result
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null
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complete
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The published estimate as the reader quoted it from the paper. No tolerance is published because the paper states none.
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The threshold the paper applied to its own result, as the paper states it. A run that reproduces the effect is judged against this threshold.
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gwas
candidate
Automated Assays Laravel application and simulated adapters
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nothing:replicable_now
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survival_km
missing_operations array · 0 items
basis
The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: kaplan_meier.
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tier
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capability_id
capability:computational_analysis
availability_state
owned
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The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R1
reachable
true
accessions array · 3 items
[0]
GSE30219
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GSE116959
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GSE10072
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GSE10072
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[0]
The datasets used and/or analyzed during the current study available from the corresponding author on reasonable request.
basis
The paper names GSE30219, GSE116959, GSE10072 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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source:pmid:37387407
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extraction_review
reader object · 5 fields
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MiniMax-M3.1-Flash
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minimax
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minimax
read_at
2026-11-01T18:45:32Z
independence
single_reader
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verbatim
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verbatim
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extraction
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MiniMax-M3.1-Flash
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absent
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not_run
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pmid:37387407
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paper
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source:pmid:37387407
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manuscript
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data:geo:GSE10072
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dataset
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GEO GSE10072
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source:pmid:37387407
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manuscript
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PMID 37387407 full text
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data:geo:GSE10072
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dataset
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GEO GSE10072
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agent:corpus-assay-engine
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Protein expression data of PPM1G obtained by immunohistochemical staining were collected from the Human Prote
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5 and the fold change was 1.5. Subsequently, RNA-sequencing (RNA-seq) data and clinical data of 535 LUAD
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[2]
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se were analyzed by Mann-Whitney U test. The RT-qPCR data was analyzed using Wilcoxon signed-rank
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paper_text_order:4240
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37387407", "kind": "science-record", "revision": 4, "content_hash": "sha256:d6c6129247266434f1d6ce618b85f6a5e228a004c4211d101c2ef3e0acd82d58", "created_at": "2026-11-01T19:02:08Z", "updated_at": "2026-11-01T22:52:14Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Prognostic and immunological potential of PPM1G in lung adenocarcinoma.", "doi": "10.3892/mmr.2023.13043", "pmid": "37387407", "authors": ["Rongjiang Yin", "Li Qu", "Zhanqing Wang", "Jian Tang", "Hua Gu", "Xiaohui Wang", "Donglin Yang", "Pengchao Du", "Menghua Dong"], "journal": "Molecular medicine reports", "year": 2023, "abstract": "Lung cancer is one of the most common types of cancer worldwide, with the highest incidence and mortality rates. Protein phosphatase, Mg2+/Mn2+ dependent 1G (PPM1G) is a serine/threonine phosphatase, which is involved in the proliferation, invasion and metastasis of tumor cells. However, there are few reports on the role of PPM1G in lung adenocarcinoma (LUAD). The present study used publicly available data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus databases to evaluate the expression of PPM1G in LUAD, and to assess the relationship between PPM1G expression and the prognosis of patients with LUAD. Protein expression data of PPM1G obtained by immunohistochemical staining were collected from the Human Protein Atlas database. The correlation between PPM1G and immune cell infiltration and immune checkpoints was analyzed by single‑sample gene set enrichment analysis of TCGA data. The Kaplan‑Meier method was used for survival analysis, and univariate and multivariate Cox regression were used to analyze the effect of PPM1G on prognosis with data from TCGA database. The results showed that PPM1G was highly expressed in LUAD cancer tissues. The high expression of PPM1G was associated with poor clinical stage, T stage, N stage and overall survival in LUAD. The present study screened 29 genes related to PPM1G and closely related to the cell cycle in patients with LUAD. The expression of PPM1G was positively correlated with γδ‑Τ cells, T helper 2 cells and natural killer CD56dim cells, and was negatively correlated with B cells, mast cells, plasmacytoid dendritic cells, T helper cells, macrophages, T cells, CD8 T cells, central memory T cells, effector memory T cells, neutrophils and T follicular helper cells. In addition, PPM1G was positively correlated with immune detection points. In conclusion, PPM1G may be involved in the control of the lung cancer cell cycle, and could be associated with prognosis and immune infiltration in patients with LUAD.", "claims": [{"id": "claim-method", "statement": "The Kaplan-Meier method was used for survival analysis, and univariate and multivariate Cox regression were used to analyze the effect of PPM1G on prognosis with data from TCGA database.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37387407", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "The Kaplan-Meier method was used for survival analysis, and univariate and multivariate Cox regression were used to analyze the effect of PPM1G on prognosis with data from TCGA database."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets used and/or analyzed during the current study available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37387407", "locator": "sections[25] \"Availability of data and materials\" paragraph 2", "quote": "The datasets used and/or analyzed during the current study available from the corresponding author on reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Kaplan-Meier survival analysis revealed that high PPM1G expression was associated with poor prognosis in patients with LUAD (HR=1.82; P<0.001; Fig. 4A).", "kind": "quantitative", "target": {"value": 1.82, "unit": "hazard ratio", "tolerance": null, "source": "Kaplan-Meier survival analysis revealed that high PPM1G expression was associated with poor prognosis in patients with LUAD (HR=1.82; P<0.001; Fig. 4A)."}, "evidence": [{"asset": "source:pmid:37387407", "locator": "sections[17] \"High PPM1G expression is an independent prognostic factor for OS in LUAD\" paragraph 2", "quote": "Kaplan-Meier survival analysis revealed that high PPM1G expression was associated with poor prognosis in patients with LUAD (HR=1.82; P<0.001; Fig. 4A)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Kaplan-Meier survival analysis revealed that high PPM1G expression was associated with poor prognosis in patients with LUAD (HR=1.82; P<0.001; Fig. 4A).", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:37387407"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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