Evidence map›Paper›PMID 39928209›Full record

ArticleDiscover oncology2025

Effect of long-stranded non-coding RNA-BANCR on the progression of thyroid papillary carcinoma and its mechanism.

Jiayi Yu, Kai Hong, Lingli Yao, Dongbo Shi, Jiabo Zhang

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Jiayi Yu *Medical School, Ningbo University, Ningbo, 315211, Zhejiang, China.
Kai Hong *Center for Metabolism Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institute of Medicine, Zhejiang University, Yiwu, 322000, China.
Lingli YaoDepartment of Breast Surgery, First Affiliated Hospital of Ningbo University, Ningbo, 315010, Zhejiang, China.
Dongbo ShiDepartment of Breast Surgery, First Affiliated Hospital of Ningbo University, Ningbo, 315010, Zhejiang, China.
Jiabo ZhangDepartment of Breast Surgery, First Affiliated Hospital of Ningbo University, Ningbo, 315010, Zhejiang, China. jiaboz_1985@126.com.

Funding

Natural Science Foundation of Ningbo Municipality 202003N4254
6 · The paper itself

Abstract

objectiveThis study aims to investigate the role of BRAF-activated long non-coding RNA (BANCR) in papillary thyroid carcinoma (PTC) progression and its association with clinical and molecular characteristics.

methodsSixteen PTC patients were stratified into four groups (PTC, HT, HT-LNM, and PTC-LNM) based on cervical lymph node metastasis and concurrent Hashimoto's thyroiditis (HT) to explore BANCR expression and its relationship with immune-related factors and tumor microenvironment (TME). Functional assays, including Transwell invasion, colony formation, and CCK8 were performed to evaluate the biological effects of BANCR in PTC cell lines. Bioinformatics analysis further identified BANCR-related pathways and clinical relevance.

resultsBANCR expression was significantly reduced in PTC tissues compared to normal thyroid tissues and was inversely correlated with tumor grade, lymph node metastasis, and T stage. Overexpression of BANCR in PTC cell lines inhibited proliferation, invasion and migration. Bioinformatics analysis demonstrated significant associations between BANCR and immune cell infiltration, immune-related genes, and stromal scores.

conclusionsBANCR acts as a tumor suppressor in PTC, suppressing tumor growth and metastasis. These findings provide insights into BANCR's potential as a prognostic marker and therapeutic target in PTC.

Indexed as

BANCRHashimoto's thyroiditisLong non-coding RNAPapillary thyroid carcinoma

Identifiers

PMID39928209
PMCPMC11810858

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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.