Evidence mapPaperPMID 42540580Full record

ArticleArchives of medical science : AMS2026

The role of body mass index and tumor necrosis factor α in breast cancer development: a case-control study.

Shen Wang, Yunqian Li, Hengming Ye, Zefang Ren

Abstract read
In one paragraph

Article in Archives of medical science : AMS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
field-weighted citation impact
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

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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

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4 · The record

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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

4 authors.

Shen WangDepartment of Health Toxicology, School of Public Health, China Medical University (Shenbei Campus), Shenbei New District, Shenyang, Liaoning Province, China.
Yunqian LiCommunity Health Management Center, Shenzhen Pingle Orthopedics Hospital, Pingshan District, Shenzhen City, China.
Hengming YeDepartment of Epidemiology, School of Public Health, Sun Yat-sen University (North Campus), Yuexiu District, Guangzhou City, Guangdong Province, China.
Zefang RenDepartment of Epidemiology, School of Public Health, Sun Yat-sen University (North Campus), Yuexiu District, Guangzhou City, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: A high body mass index (BMI) is closely associated with increased breast cancer risk. Despite the established associations of BMI and tumor necrosis factor-α (TNF-α) with breast cancer, few studies have explored their combined effects on breast cancer development. The aim of our study was to evaluate the separate and combined associations of BMI and TNF-α with breast cancer risk. Material and methods: A case-control study was conducted involving 794 women diagnosed with breast cancer and 268 age-matched healthy controls from Sun Yat-sen University's affiliated hospitals between October 2008 and March 2018. Data on demographic characteristics, clinical features, and TNF-α levels were collected. Logistic regression models were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between BMI, TNF-α, and breast cancer risk. Results: High levels of TNF-α (≥ 58.45 µg/ml) were significantly associated with an increased risk of breast cancer (OR = 1.500; 95% CI: 1.112-2.022). Elevated TNF-α levels were associated with early clinical stage, positivity for ER, PR, and HER2, high Ki67 expression, and the absence of lymphatic and distant metastases. No significant association was found between BMI and breast cancer risk (OR = 0.947; 95% CI: 0.685-1.310), nor was there a significant interaction effect between BMI and TNF-α. Conclusions: TNF-α plays a significant role in breast cancer development, particularly in early clinical stages, and in specific pathological features. BMI alone is not a significant predictor of breast cancer risk. These findings underscore the importance of TNF-α as a potential target for breast cancer prevention and treatment strategies.

Indexed as

body mass indexbreast cancerobesityrisk factortumor necrosis factor-α

Identifiers

PMID42540580
PMCPMC13426164

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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 Socratic graph.