ArticleCancer medicine2026
A Prognostic Risk Model Based on Immune Genes in Thyroid Cancer and Its Correlation With Tumor-Associated Immune Cell Infiltration Abundance.
Article in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate a prognostic risk model for thyroid cancer based on immune genes and its link to immune cell infiltration in tumors.
methodThis was a retrospective study of 117 thyroid cancer patients treated at our hospital from May 2021 to December 2023. Patients were categorized into 82 with a good prognosis and 35 with a poor prognosis. A COX regression model was validated using ROC curves and goodness-of-fit tests. Flow cytometry was used to detect the proportion of each immune cell subset in tumor tissues. The correlation was analyzed using Spearson correlation test. The TCGA thyroid cancer RNA-seq data (n = 512) were downloaded for external validation.
resultsLNM, capsule invasion, and immune genes were independent factors for poor prognosis in thyroid cancer (p < 0.05). A prognosis prediction model was developed: [1/1 + exp. (4.854 + 1.085 × LNM + 1.510 × capsule invasion + 1.318 × CDK1 + 1.940 × B3GNT7 + 0.860 × S100A9 + 0.956 × MMP12)], with an AUC of 0.925 and a chi-square value of 10.846 (p = 0.178 > 0.05). Poor-prognosis patients showed reduced B, CD4 + T, and CD8 + T lymphocyte infiltration, but increased neutrophil and macrophage infiltration (p < 0.05). CDK1, B3GNT7, S100A9, and MMP12 mRNA levels were negatively correlated with B lymphocyte infiltration in thyroid cancer. CD4 + T lymphocytes and CD8 + T lymphocytes were positively correlated with the infiltration abundance of neutrophils and macrophages (p < 0.05). Spearman correlation analysis of the TCGA database showed that S100A9 was positively correlated with infiltration of B cells, CD4 + T cells, macrophages, and NK cells, but negatively correlated with infiltration of CD8 + T cells and endothelial cells. MMP12 was positively correlated with infiltration of B cells, CD4 + T cells, macrophages, and NK cells, but negatively correlated with infiltration of endothelial cells (all p < 0.05).
conclusionThe prognostic prediction model based on the influencing factors had high predictive value. The immune-related genes were correlated with the abundance of immune cell infiltration; the above correlation has been partially validated in the TCGA database.
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.