Evidence map›Paper›PMID 35145483›Full record

ArticleFrontiers in endocrinology2021

Immune Infiltration of CD8+ T Cells in Patients With Diabetic Pancreatic Cancer Reduces the Malignancy of Cancer Tissues: An

Zheng Ye, Delin Liu, Dechen Liu, Yinqi Lv, Yidi Zhang, Jun Zhang, Jiantong Bao, Xuelu Yuan, Jiaying Hou, Ling Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 9 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

10 authors at 4 institutions in 1 country.

Zheng YeDepartment of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Delin LiuDepartment of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Dechen LiuDepartment of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Yinqi LvDepartment of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Yidi ZhangDepartment of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Jun ZhangDepartment of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Jiantong BaoDepartment of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Xuelu YuanDepartment of Endocrinology, Yixing Second People's Hospital, Wuxi, China.
Jiaying HouDepartment of Endocrinology, Changji Branch, First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China.
Ling LiDepartment of Endocrinology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Zhongda Hospital Southeast University · CNSoutheast University · CNJiangsu University · CNXinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although the functional damage of the diabetic pancreas can affect the postoperative recovery of pancreatic cancer patients, there is no significant difference in the prognosis of pancreatic cancer patients with a history of diabetes and ordinary pancreatic cancer patients. There is still no practical theory to explain this phenomenon. Materials and Method: The mRNA expression profile data of 141 cases and 51 cases with clinical data of diabetes status were obtained from the TCGA database and the GEO database, respectively. The CRA001160 data set was obtained in the TISCH database. The Seurat was used to process single-cell expression profile sequencing data. The Cibersortx was used to construct a feature matrix of single-cell sequencing data and to deconvolve Bulk-RNAseq data to obtain each pancreatic cancer patients' tumour invasion score. TIDE was used to assess the immune escape potential of the tumour. MiRNet was used to construct the miRNA-mRNA regulatory network. Result: Compared with regular pancreatic cancer patients, the immune-related signal transduction pathways in diabetic pancreatic cancer patients are in an activated state. In patients with diabetic pancreatic cancer, the infiltration score of CD8+ T cells is high, and the infiltration score of corresponding malignant tumour cells is low. The Bayesian classifier can distinguish diabetic pancreatic cancer patients from non-diabetic pancreatic cancer patients based on 10 signature genes. The miRNA-mRNA regulatory network suggests that regulation by miRNA can influence mRNA expression and thus prognostic survival of pancreatic cancer patients. Conclusion: The activation of inflammatory-related signalling pathways in diabetic pancreatic cancer patients increases the immune infiltration of CD8+ T cells in cancer patients and reduces the development of malignant tumour tissues. The expression of 10 signature genes allowed the diagnosis of diabetic and non-diabetic pancreatic cancer patients. The miRNA-mRNA regulatory network may be the main cause of the differences in the tumour inflammatory microenvironment between the two groups of patients. These findings help us further understand the immune microenvironment of patients with diabetic pancreatic cancer.

Indexed as

Diabetes MellitusPancreatic NeoplasmsBayes TheoremBiomarkers, TumorCD8-Positive T-LymphocytesHumansTumor MicroenvironmentBiomarkers, Tumordiabetesimmune therapymiRNA-mRNA regulation networkpancreatic cancertumor microenvironment

Identifiers

PMID35145483
PMCPMC8821103
OpenAlexW4207038842

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.