Evidence map›Paper›PMID 38600469›Full record

ArticleBMC cancer2024

Targeting PCSK9 to upregulate MHC-II on the surface of tumor cells in tumor immunotherapy.

Hanbing Wang, Xin Zhang, Yipeng Zhang, Tao Shi, Yue Zhang, Xueru Song, Baorui Liu, Yue Wang, Jia Wei

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2024. 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
9.2field-weighted citation impact, top 2% 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, 16 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

9 authors at 1 institution in 1 country.

Hanbing Wang *Department of Oncology, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, No. 321, Zhongshan Road, 210008, Nanjing, China.
Xin Zhang *Department of Oncology, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, No. 321, Zhongshan Road, 210008, Nanjing, China.
Yipeng ZhangDepartment of Oncology, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, No. 321, Zhongshan Road, 210008, Nanjing, China.
Tao ShiDepartment of Oncology, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, No. 321, Zhongshan Road, 210008, Nanjing, China.
Yue ZhangDepartment of Oncology, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, No. 321, Zhongshan Road, 210008, Nanjing, China.
Xueru SongDepartment of Oncology, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, No. 321, Zhongshan Road, 210008, Nanjing, China.
Baorui LiuDepartment of Oncology, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, No. 321, Zhongshan Road, 210008, Nanjing, China.
Yue WangDepartment of Oncology, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, No. 321, Zhongshan Road, 210008, Nanjing, China. wangyue2012nju@163.com.
Jia WeiDepartment of Oncology, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, No. 321, Zhongshan Road, 210008, Nanjing, China. jiawei99@nju.edu.cn.
Nanjing Drum Tower Hospital · CN

Funding

Beijing Xisike Clinical Oncology Research Foundation Y-Young2023-0195National Natural Science Foundation of China 82073382
6 · The paper itself

Abstract

backgroundProprotein convertase subtilisin/kexin type 9 (PCSK9), the last member of the proprotein convertase family, functions as a classic regulator of low-density lipoprotein (LDL) by interacting with low-density lipoprotein receptor (LDLR). Recent studies have shown that PCSK9 can affect the occurrence and development of tumors and can be used as a novel therapeutic target. However, a comprehensive pan-cancer analysis of PCSK9 has yet to be conducted.

methodsThe potential oncogenic effects of PCSK9 in 33 types of tumors were explored based on the datasets of The Cancer Genome Atlas (TCGA) dataset. In addition, the immune regulatory role of PCSK9 inhibition was evaluated via in vitro cell coculture and the tumor-bearing mouse model. Finally, the antitumor efficacy of targeted PCSK9 combined with OVA-II vaccines was verified.

resultsOur results indicated that PCSK9 was highly expressed in most tumor types and was significantly correlated with late disease stage and poor prognosis. Additionally, PCSK9 may regulate the tumor immune matrix score, immune cell infiltration, immune checkpoint expression, and major histocompatibility complex expression. Notably, we first found that dendritic cell (DC) infiltration and major histocompatibility complex-II (MHC-II) expression could be upregulated by PCSK9 inhibition and improve CD8

conclusionsConclusively, our pan-cancer analysis provided a more comprehensive understanding of the oncogenic and immunoregulatory roles of PCSK9 and demonstrated that targeting PCSK9 could increase the efficacy of long peptide vaccines by upregulating DC infiltration and MHC-II expression on the surface of tumor cells. This study reveals the critical oncogenic and immunoregulatory roles of PCSK9 in various tumors and shows the promise of PCSK9 as a potent immunotherapy target.

Indexed as

Genes, MHC Class IIImmunotherapyNeoplasmsProprotein Convertase 9Proprotein ConvertasesAnimalsHistocompatibility AntigensLipoproteins, LDLMiceReceptors, LDLTumor MicroenvironmentHistocompatibility AntigensLipoproteins, LDLPCSK9 protein, humanProprotein Convertase 9Proprotein ConvertasesReceptors, LDLBioinformatics analysisDendritic cellsMajor histocompatibility complex-IIPCSK9Tumor immune microenvironment

Identifiers

PMID38600469
PMCPMC11007992
OpenAlexW4394693120

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.