Evidence map›Paper›PMID 34279685›Full record

ArticleCancer immunology, immunotherapy : CII2022

Identification of LIPH as an unfavorable biomarkers correlated with immune suppression or evasion in pancreatic cancer based on RNA-seq.

Hongkai Zhuang, Xinming Chen, Ying Wang, Shanzhou Huang, Bo Chen, Chuanzhao Zhang, Baohua Hou

Open access · greenAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.5field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 31 citations in OpenAlex.

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  12. Frontiers in cell and developmental biology · 2023
    Review
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  15. Prognostic Value and Clinical Significance of LIPH in Breast Cancer.International journal of general medicine · 2021
    Article
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

7 authors at 4 institutions in 1 country.

Hongkai ZhuangDepartment of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510080, China.
Xinming ChenDepartment of Hepatobiliary Surgery, Shenshan Central Hospital, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Shanwei, 516600, China.
Ying WangThe Affiliated Hospital of Stomatology, School of Stomatology, Zhejiang University School of Medicine, Hangzhou, 310006, China.
Shanzhou HuangDepartment of General Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106 Zhongshan Er Road, Guangzhou, 510080, China.
Bo ChenDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106 Zhongshan Er Road, Guangzhou, 510080, China. chenbo@gdph.org.cn.
Chuanzhao ZhangDepartment of General Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106 Zhongshan Er Road, Guangzhou, 510080, China. 641703837@qq.com.
Baohua HouDepartment of General Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, No. 106 Zhongshan Er Road, Guangzhou, 510080, China. 15917919681@163.com.ORCID http://orcid.org/0000-0002-9099-6248
Guangdong Academy of Medical Sciences · CNGuangdong General Hospital · CNSun Yat-sen University · CNStomatology Hospital · CN

Funding

fundamental research funds for the central universities y2syD2192230High-level Hospital Construction Project DFJH201921National Natural Science Foundation of China 81672475National Natural Science Foundation of China 81702783National Natural Science Foundation of China 82072635National Natural Science Foundation of China 82072637
6 · The paper itself

Abstract

backgroundIt is widely considered that pancreatic cancer (PC) is an immunosuppressive cancer. Immune-based therapies remain promising therapeutic strategies for PC. Overexpression of lipase H (LIPH) was reported to be related to immunity in cattle and has also been demonstrated to promote tumor progression in several tumors, but its role in pancreatic carcinogenesis remains unclear. Study on LIPH in PC might provide a new insight into the immunosuppression in PC.

methodsThe potential biological and clinical significance of LIPH was evaluated by bioinformatics analysis. We further investigated potential associations between the expression of LIPH and tumor immune infiltration using the CIBERSORT algorithm, the ESTIMAT algorithm, and single sample gene set enrichment analysis (ssGSEA).

resultsLIPH was significantly overexpressed in tumor tissues compared with normal tissues. LIPH overexpression correlated with tumor recurrence, advanced histologic grade, and poorer overall survival (OS). Four of the most common somatic mutation, including KRAS, TP53, CDKN2A, and SMAD4, in PC were all correlated with high LIPH expression. And high LIPH expression was significantly correlated with KRAS activation and SMAD4 inactivation. Besides, LIPH expression was involved in various biological pathways such as negative regulation of cell-cell adhesion, actin cytoskeleton, EMT, angiogenesis, and signaling by MST1. And LIPH overexpression caused high infiltration of TAMs, Treg cells, and Th2/Th1, but reduced the infiltration of CD8

conclusionsOur findings demonstrated that LIPH correlated with immune suppression or evasion and may function as a novel unfavorable prognostic biomarker in PC.

Indexed as

Biomarkers, TumorImmune ToleranceTumor EscapeCD8-Positive T-LymphocytesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLipaseMutationPancreatic NeoplasmsPrognosisTumor MicroenvironmentBiomarkers, TumorLipaseLIPH protein, humanImmune infiltrationLipase H (LIPH)Pancreatic cancer (PC)The Cancer Genome Atlas (TCGA)The Gene Expression Omnibus (GEO)

Identifiers

PMID34279685
PMCPMC10992541
OpenAlexW3186179247

What OpenQuestion holds

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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.