Evidence map›Paper›PMID 40462856›Full record

ArticleExperimental and therapeutic medicine2025

Analysis of a pan-cancer panel reveals the amino acid metabolism-related gene MTHFD1 as a potential prognostic and immunotherapeutic biomarker.

Shunsong Gong, Jiaxue Yang, Chao Pan, Fenglan Peng, Chuan Pan

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2025. 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

5 authors.

Shunsong GongDepartment of Thoracic Surgery, Yangxin People's Hospital, Huangshi, Hubei 435200, P.R. China.
Jiaxue YangThird Clinical Medical College, Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Chao PanDepartment of Respiratory Medicine, Yangxin People's Hospital, Huangshi, Hubei 435200, P.R. China.
Fenglan PengDepartment of Otolaryngology, Hubei No. 3 People's Hospital of Jianghan University, Wuhan, Hubei 430033, P.R. China.
Chuan PanDepartment of Nephrology and Endocrinology, Yangxin People's Hospital, Huangshi, Hubei 435200, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methylenetetrahydrofolate dehydrogenase 1 (MTHFD1) serves a role in amino acid metabolism and may influence tumor progression. However, to the best of our knowledge, a comprehensive analysis of MTHFD1 in various types of cancer has not been previously performed. Therefore, the present study aimed to investigate the expression profile and prognostic implication of MTHFD1 across various types of cancer, whilst assessing its potential as a novel biomarker and therapeutic target. The expression of MTHFD1 in tissues from various types of cancer was analyzed using online tools based on data from the Cancer Cell Line Encyclopedia and Clinical Proteomic Tumor Analysis Consortium, as well as in-house differential expression analysis using data from The Cancer Genome Atlas (TCGA). The association between MTHFD1 and prognosis was investigated using Kaplan-Meier survival analysis and Cox proportional hazards regression analysis based on TCGA datasets. Furthermore, the association between MTHFD1 and the tumor microenvironment (TME) was investigated using the 'estimation of stromal and immune cells in malignant tumor tissues using expression data' and 'cell-type identification by estimating relative subsets of RNA transcripts' algorithms. The correlation between MTHFD1 expression and tumor mutational burden (TMB), microsatellite instability (MSI) or 48 immune checkpoint blockade-related gene expression levels was investigated using Pearson correlation analyses. The predictive potential of MTHFD1 for immunotherapy efficacy was evaluated using the tumor immune dysfunction and exclusion (TIDE) algorithm with the IMvigor210 dataset. Subsequently, the effects of MTHFD1 on the proliferation and invasion of A549 and 786-O cell lines were assessed using colony formation and Transwell assays. Analysis across 33 tumor types revealed that MTHFD1 expression was significantly upregulated in 12 cancers (e.g., bladder urothelial carcinoma) and downregulated in 6 cancers (e.g., breast invasive carcinoma). Moreover, high MTHFD1 expression was associated with a poorer prognosis in kidney chromophobe and lung adenocarcinoma, but with better prognosis in kidney renal clear cell carcinoma. Additionally, the activity of MTHFD1, evaluated using the single-sample Gene Set Enrichment Analysis algorithm, was significantly upregulated in 21 cancer types, including bladder urothelial carcinoma and breast invasive carcinoma, compared with corresponding normal tissues. MTHFD1expression levels were negatively correlated with immune cell infiltration in 16 tumor types [e.g., adrenocortical carcinoma (ACC)] and positively correlated only in uveal melanoma (UVM). Additionally, MTHFD1 expression levels showed significant correlations with TMB in 17 tumors (e.g., ACC), were negatively correlated with TIDE scores in most tumors except mesothelioma, liver hepatocellular carcinoma, diffuse large B-cell lymphoma and cholangiocarcinoma, and were associated with MSI in 9 tumor types (e.g., UVM). Multivariant Cox regression analysis revealed that MTHFD1 expression was an independent risk factor for prognosis in lung adenocarcinoma, whilst it was an independent protective factor in clear cell renal cell carcinoma, highlighting its distinct prognostic roles in these two tumor types.

Indexed as

biomarkerimmunotherapeuticmethylenetetrahydrofolate dehydrogenase 1pan-cancerprognostic

Identifiers

PMID40462856
PMCPMC12131308

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 OpenQuestion graph.