Evidence map›Paper›PMID 35986413›Full record

ArticleEuropean journal of medical research2022

The association between serum lipid levels and histological type of breast cancer.

Xinru Wang, Yajie Wang, Miaomiao Wang, Xin Chen, Wenjing Cui, Xiao Chen

Open access · goldAbstract read
In one paragraph

Article in European journal of medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

6 authors at 2 institutions in 1 country.

Xinru Wang *Department of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, 155 Hanzhong road, Nanjing, 210029, China.
Yajie Wang *Department of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, 155 Hanzhong road, Nanjing, 210029, China.
Miaomiao WangDepartment of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, 155 Hanzhong road, Nanjing, 210029, China.
Xin ChenDepartment of Radiology, Shanghai Sixth People's Hospital, Shanghai, 200233, China.
Wenjing CuiDepartment of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, 155 Hanzhong road, Nanjing, 210029, China. ppgirlcwj@aliyun.com.
Xiao ChenDepartment of Radiology, the Affiliated Hospital of Nanjing University of Chinese Medicine, 155 Hanzhong road, Nanjing, 210029, China. chxwin@163.com.
Nanjing University of Chinese Medicine · CNShanghai Sixth People's Hospital · CN

Funding

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

Abstract

backgroundStudies have investigated the association between serum lipids level or apolipoprotein levels and breast cancer (BC) risk. However, the relationship between serum lipids level and apolipoprotein levels and histological type of breast cancer remains unclear. This study was aimed to explore the association between serum lipids level and the histological type of BC, particularly to estrogen receptor (ER) and progesterone receptor (PR) positive BC. MATERIALS AND

methods220 cases of pathology-confirmed BC were retrospectively collected in this study. Patients' demographic information, clinical data, and pathological features were obtained from medical records. Serum levels including high-density lipoprotein-cholesterol (HDL-c), low-density lipoprotein-cholesterol (LDL-c), total cholesterol (TC), triglyceride (TG), apolipoprotein A (ApoA), ApoB, ApoE and lipoprotein a(LP(a)) were collected before treatment. Logistic regression analyses were used to show the association between serum lipids and subtypes of BC. Receiver operating characteristic (ROC) curves were generated to analyze the predictive performance.

resultsThere were 70 ER-negative and 73 PR-negative BC. Patients with ER-negative BC had higher HDL-c, higher LDL-c, and higher LP(a) than those in ER-positive one (p < 0.05). Patients with PR-negative BC were more likely to have high LDL-c and high LP(a) levels than patients with PR-positive one (p < 0.05). Multivariate logistic regression analysis showed that serum HDL-c (odds ratio (OR): 0.27, 95% confidence interval (CI) 0.10-0.76), LDL-c (OR: 0.19, 95%CI 0.04-0.93) and LP(a) (OR: 0.23,95%CI 0.07-0.80) levels were negatively associated with ER-positive BC, and serum HDL-c and LDL-c levels were significantly negatively associated with PR-positive BC (OR: 0.32, 95%CI 0.12-0.82; OR: 0.14, 95%CI 0.03-0.77). In addition, ER and PR positive BC was negatively associated with serum HDL-c and LDL-c levels (OR = 0.39, 95% CI 0.17-0.91; OR = 0.22, 95% CI 0.06-0.85) after adjusting with confounders. Serum HDL-c level (OR = 0.13, 95% CI 0.02-0.87) was still independently associated with ER and PR positive BC in postmenopausal women. The area under the curves (AUCs) of HDL-c to identify ER-positive BC, PR-positive BC, and ER and PR positive BC were 0.65 (95%CI 0.58-0.73, P < 0.01), 0.62 (95%CI 0.54-0.69, P < 0.01) and 0.64 (95%CI 0.56-0.72, P < 0.01), respectively.

conclusionsSerum HDL-c and LDL-c levels were related to ER or PR positive BC. Lipid levels may also have acceptable performance in identifying BC histological type.

Indexed as

Breast NeoplasmsApolipoproteinsCholesterol, HDLCholesterol, LDLFemaleHumansLipidsRetrospective StudiesApolipoproteinsCholesterol, HDLCholesterol, LDLLipidsBlood lipidsBreast cancerHistologic type

Identifiers

PMID35986413
PMCPMC9389787
OpenAlexW4292367496

What OpenQuestion 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 OpenQuestion graph.