Evidence map›Paper›PMID 42534863›Full record

ArticleFrontiers in oncology2026

Metabolomics-assisted evaluation of differences and clinical value between ablation and surgical treatment for lung adenocarcinoma.

Youli Wen, Yang Zeng, Wenqiang Li, Xinyu Deng, Wu Qunhua, Zhiping Deng

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Youli Wen *Department of Respiratory and Critical Care Medicine, Zigong First People's Hospital, Zigong, China.
Yang Zeng *Department of Respiratory and Critical Care Medicine, Zigong First People's Hospital, Zigong, China.
Wenqiang LiDepartment of Respiratory and Critical Care Medicine, Zigong First People's Hospital, Zigong, China.
Xinyu DengDepartment of Respiratory and Critical Care Medicine, Zigong First People's Hospital, Zigong, China.
Wu QunhuaDepartment of Respiratory and Critical Care Medicine, Zigong First People's Hospital, Zigong, China.
Zhiping DengDepartment of Respiratory and Critical Care Medicine, Zigong First People's Hospital, Zigong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The optimal transition from surgery to minimally invasive ablation for early lung adenocarcinoma requires elucidation of their differential metabolic impacts and clinical benefits. Using MALDI-MS platform, this study investigated 40 patients (15 ablation, 25 surgery) to characterize treatment-specific metabolic signatures and evaluate diagnostic performance. Following rigorous matrix validation, metabolomic profiling revealed distinct metabolic networks, with supervised OPLS-DA models achieving effective group separation and identifying numerous differentially expressed metabolites. For treatment discrimination, metabolomics demonstrated superior diagnostic efficacy (AUC = 0.79) compared to traditional imaging (0.75) and biochemical tests (0.65). Notably, integrating all three modalities substantially enhanced discriminatory power (AUC = 0.85), highlighting the value of multi-dimensional information fusion. Clinical assessment under balanced baseline conditions showed significant advantages for ablation: shorter hospital stays (P = 0.003), reduced costs, and fewer complications, while maintaining equivalent pulmonary function (FEV1/FVC). These findings provide integrated metabolomic and clinical evidence supporting ablation as a minimally invasive, efficacious alternative to surgery, offering molecular insights into treatment-induced metabolic reprogramming and establishing a foundation for optimized therapeutic decision-making in early lung adenocarcinoma.

Indexed as

ablationlung adenocarcinomaMALDI-MSmetabolomicssurgery

Identifiers

PMID42534863
PMCPMC13422148

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Registered trials

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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.