ArticleJournal of cellular and molecular medicine2025
Artificial Intelligence-Guided Identification of IGFBP7 as a Critical Indicator in Lactic Metabolism Determines Immunotherapy Response in Stomach Adenocarcinoma.
Article in Journal of cellular and molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Dissecting molecular heterogeneity in primary gastric cancer by IGFBP7-related analysis.Journal of translational medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Due to considerable tumour heterogeneity, stomach adenocarcinoma (STAD) has a poor prognosis and varies in response to treatment, making it one of the main causes of cancer-related mortality globally. Recent data point to a significant role for metabolic reprogramming, namely dysregulated lactic acid metabolism, in the evolution of STAD and treatment resistance. This study used a series of artificial intelligence-related approaches to identify IGFBP7, a Schlafen family member, as a critical factor in determining the response to immunotherapy and lactic acid metabolism in STAD patients. Computational analyses revealed that a high lactic metabolism (LM) state was associated with poor survival in STAD patients. Further biological network-based investigations identified a key subnetwork closely linked to LM. Machine learning techniques, such as random forest and least absolute shrinkage and selection operator, highlighted IGFBP7 as a crucial indicator in STAD. Functional annotations showed that IGFBP7 expression was linked to important immune and inflammatory pathways. In vitro experiments demonstrated that silencing IGFBP7 suppressed cell proliferation and migration. Furthermore, heightened susceptibility to several chemotherapeutic drugs was linked to elevated IGFBP7 levels. In conclusion, this work sheds light on the mechanisms by which the lactate metabolism-related indicator IGFBP7 affects the tumour immune milieu and the response to immunotherapy in STAD. The results point to IGFBP7 as a possible therapeutic target and predictive biomarker for the treatment of STAD.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.