Evidence map›Paper›PMID 35842659›Full record

ArticleLipids in health and disease2022

The associations between serum high-density lipoprotein cholesterol levels and malignant behavior in pancreatic neuroendocrine neoplasms.

Li Quan, Yongkang Liu, Wenjing Cui, Xinru Wang, Weixiao Zhang, Zhongqiu Wang, Chuangen Guo, Chao Lu, Feixiang Hu, Xiao Chen

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2022. 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
1.1field-weighted citation impact, top 23% 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

10 authors at 5 institutions in 1 country.

Li Quan *Department of Laboratory Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
Yongkang Liu *Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
Wenjing CuiDepartment of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
Xinru WangDepartment of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
Weixiao ZhangDepartment of Radiology, Nanjing Sir Run Run Hospital, Nanjing Medical University, 210029, Nanjing, China.
Zhongqiu WangDepartment of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
Chuangen GuoDepartment of Radiology, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310006, China.
Chao LuDepartment of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China. clusz001@163.com.
Feixiang HuDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. fxhu14@fudan.edu.cn.
Xiao ChenDepartment of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China. chxwin@163.com.
Nanjing University of Chinese Medicine · CNFirst Affiliated Hospital Zhejiang University · CNFudan University · CNFudan University Shanghai Cancer Center · CNNanjing Medical University · CN

Funding

National Natural Science Foundation of China 81773460
6 · The paper itself

Abstract

backgroundThe role of serum high-density lipoprotein cholesterol (HDL-c) in tumorigenesis are observed in several endocrine-related cancers. However, its role in pancreatic neuroendocrine neoplasms (PNENs) has not been understood. In the current study, the relationship between HDL-c levels and malignant behavior in PNENs was explored.

methodsOne hundred ninety-seven patients with histopathology confirmed PNENs were included. PNENs were divided into three grades (G1, G2 and G3) as 2017 WHO classification based on ki67 index and mitosis count. The demographic data, clinical information, tumor morphological and pathological features (organs invasion, lymph node metastasis, vascular invasion and perineural invasion), and serum tumor biomarkers were collected. The relationships between HDL-c levels and malignant behaviors in PNENs were analyzed using logistic regression analysis. Models were also developed for the identification of high grade PNENs.

resultsThe levels of serum HDL-c in G2/G3 tumor were significantly lower than that in G1 tumor (P = 0.031). However, no such difference was found between G3 and G1/G2. The proportions of low HDL-c (≤ 0.9 mmol/L) were higher in high-grade PNENs (G2/G3 or G3) than those in low-grade (G1 or G1/G2) (29.0 vs 15.2%, P = 0.032; 37.0 vs 20.5%, P = 0.023). The risk of G2/G3 tumors in patients with high serum HDL-c levels was decreased (odds ratio (OR) = 0.35, 95% confidence interval (CI): 0.12-0.99). Similarly, the risk of G3 PNENs increased in patients with low HDL-c levels (OR = 2.51, 95%CI:1.12-5.60). HDL-c level was also associated with a high ki67 index (> 55%) (OR = 0.10, 95%CI: 0.02-0.51) and neuroendocrine carcinoma G3 (OR = 0.21, 95%CI: 0.06-0.80). The area under the curve (AUC) of HDL-c + tumor size + age was 0.85 (95% CI: 0.79-0.91) in identifying G2/G3 PNENs, and HDL-c (> 0.9 mmol/L) + tumor size + age had an AUC of 0.77 (95% CI: 0.70-0.84) in identifying G3 PNENs. HDL-c level was associated with lymph node metastasis (OR = 0.24, 95%CI:0.08-0.99).

conclusionSerum HDL-c levels were significantly associated with malignant behaviors in PNENs, in particular to tumor grade and lymph node metastasis.

Indexed as

Neuroendocrine TumorsPancreatic NeoplasmsCholesterolHumansKi-67 AntigenLipoproteins, HDLLymphatic MetastasisRetrospective StudiesCholesterolKi-67 AntigenLipoproteins, HDLCholesterolGradeHigh-density lipoproteinLymph metastasisPancreatic neuroendocrine neoplasms

Identifiers

PMID35842659
PMCPMC9287928
OpenAlexW4285587481

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.