Evidence map›Paper›PMID 38159250›Full record

ArticleAging2023

Anoikis regulator GLI2 promotes NC cell immunity escape by TGF-β-mediated non-classic hedgehog signaling in colorectal cancer: based on artificial intelligence and big data analysis.

Zhang Shanshan, Ding Fanfei, Sun Xuan, Lu Huina, Zhang Ye, Li Jiayu, Zhao Shuo, Pan Xue, Pu Yingye, Jin Chengjun and 2 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 13% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Zhang ShanshanLaboratory Department of Changhai Hospital, First Affiliated Hospital of Naval Military Medical University, Shanghai, China.
Ding FanfeiClinical Laboratory of PLA Naval Medical Center, Shanghai, China.
Sun XuanLaboratory Department of Changhai Hospital, First Affiliated Hospital of Naval Military Medical University, Shanghai, China.
Lu HuinaLaboratory Department of Changhai Hospital, First Affiliated Hospital of Naval Military Medical University, Shanghai, China.
Zhang YeMedical Imaging Department of Changhai Hospital, First Affiliated Hospital of Naval Military Medical University, Shanghai, China.
Li JiayuMedical Imaging Department of Changhai Hospital, First Affiliated Hospital of Naval Military Medical University, Shanghai, China.
Zhao ShuoLaboratory Department of Changhai Hospital, First Affiliated Hospital of Naval Military Medical University, Shanghai, China.
Pan XueLaboratory Department of Changhai Hospital, First Affiliated Hospital of Naval Military Medical University, Shanghai, China.
Pu YingyeLaboratory Department of Changhai Hospital, First Affiliated Hospital of Naval Military Medical University, Shanghai, China.
Jin ChengjunLaboratory Department of Changhai Hospital, First Affiliated Hospital of Naval Military Medical University, Shanghai, China.
Pan HangLaboratory Department of Changhai Hospital, First Affiliated Hospital of Naval Military Medical University, Shanghai, China.
Li LiLaboratory Department of Changhai Hospital, First Affiliated Hospital of Naval Military Medical University, Shanghai, China.
Second Military Medical University · CNChanghai Hospital · CNPLA Navy General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnoikis is a speed-limited procedure to inhibit tumor metastasis during epithelial-mesenchymal transition (EMT). Previous studies have explored anoikis-related genes (ARG) in predicting prognosis and distinguishing tumoral immunity in many types of cancer. However, the role of ARGs in regulating NK cell exhaustion (NKE) and in predicting chemotherapy sensitivity is not clear. Therefore, it is necessary to work on it.

methodsGene expression profiles and clinical features are collected from TCGA and GEO, and data analysis is performed in R4.2.0.

resultsThe ARGs-based no-supervised learning algorithm identifies three ARG subgroups, amongst which the prognosis is different. WCGNA and Artificial intelligence (AI) are applied to construct an NKE-related drug sensitivity stratification and prognosis identification model in digestive system cancer. Pathways association analysis screens out GLI2 is a key gene in regulating NKE by non-classic Hedgehog signaling (GLI2/TGF-β/IL6).

Indexed as

AnoikisColorectal NeoplasmsHedgehog ProteinsZinc Finger Protein Gli2Artificial IntelligenceCell Line, TumorHumansInterleukin-6Nuclear ProteinsTransforming Growth Factor betaGLI2 protein, humanHedgehog ProteinsInterleukin-6Nuclear ProteinsTransforming Growth Factor betaZinc Finger Protein Gli2anoikisdrug tolerancemachine learningNK celltumor immunity

Identifiers

PMID38159250
PMCPMC10781491
OpenAlexW4390399423

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.