Evidence map›Paper›PMID 40164660›Full record

SynthesisScientific reports2025

Predictive and clinicopathological importance of HMGB2 in various carcinomas: a meta and bioinformatic approach.

Yinan Zhu, Siyu He, Ziyue Wang, Haiyan Xi, Wanchen Lu, Xuyong Lin

Abstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2025. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. 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.

Yinan ZhuDepartment of Pathology, The First Hospital, College of Basic Medical Sciences, China Medical University, Shenyang, China.
Siyu HeDepartment of Pathology, The First Hospital, College of Basic Medical Sciences, China Medical University, Shenyang, China.
Ziyue WangDepartment of Pathology, The First Hospital, College of Basic Medical Sciences, China Medical University, Shenyang, China.
Haiyan XiDepartment of Pathology, The First Hospital, College of Basic Medical Sciences, China Medical University, Shenyang, China.
Wanchen LuDepartment of Pathology, The First Hospital, College of Basic Medical Sciences, China Medical University, Shenyang, China.
Xuyong LinDepartment of Pathology, The First Hospital, College of Basic Medical Sciences, China Medical University, Shenyang, China. linxuyong@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh mobility group box 2 (HMGB2), one of the HMGB domain proteins, may play a significant role in cancer development and progression. Recent scientific investigations have hinted at the potential clinical relevance of HMGB2, particularly in cancer patients where its expression levels have been observed to be elevated. However, the precise impact of HMGB2 on the prognosis of tumors remains an area of ongoing research. To the best of our understanding, our study represents a meta-analysis that elucidates a connection between HMGB2 expression and the clinical outcomes of diverse cancer types.

methodWe executed a thorough and systematic search of literature across PubMed, Web of Science, Embase, CNKI, and Wanfang databases. Following this, we conducted a quantitative meta-analysis using statistical tools such as StataMP16 and RevMan5.3. The primary focus of our analysis was to assess the relationship between HMGB2 expression levels and overall survival (OS), disease-free survival (DFS), as well as various clinicopathological characteristics of cancer patients by calculating the hazard ratio (HR). Additionally, we validated our findings by examining HMGB2 expression patterns across different cancer types using the Gene Expression Profiling Interactive Analysis (GEPIA) online platform.

resultOur meta-analysis incorporated data from 17 studies, encompassing a total of 2555 cancer patients. The results revealed a statistically significant association between high HMGB2 expression and shorter OS (HR, 1.40 ;95% CI: 1.10-1.70; P < 0.001), especially in digestive cancer ( HR, 2.09 (95% CI: 1.54-2.63; I

conclusionOur findings underscore a detrimental correlation between the upregulation of HMGB2 and the prognosis of various cancers. This discovery could pave the way for the development of innovative prognostic biomarkers and therapeutic targets that specifically target HMGB2, offering new avenues for the management and treatment of cancer patients.

Indexed as

CarcinomaComputational BiologyHMGB2 ProteinNeoplasmsBiomarkers, TumorDisease-Free SurvivalGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, TumorHMGB2 Protein

Identifiers

PMID40164660
PMCPMC11958810

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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.