Evidence map›Paper›PMID 41333373›Full record

SynthesisBioMed research international2025

Correlation of Cell-in-Cell Structure With Prognosis in Solid Tumors-A Meta-Analysis.

Haoyi Zi, Yinhai Dai, Mengxuan Li, Yidi Wang, Mao Wang, Shuai Wang, Yujie Bai, Jianing Sun, Cong Fan, Jiajun Ding and 1 more

Abstract readMeta-AnalysisReview
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BioMed research international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

11 authors.

Haoyi ZiShaanxi University of Chinese Medicine, Xianyang, Shaanxi, China, sntcm.edu.cn.
Yinhai DaiShaanxi University of Chinese Medicine, Xianyang, Shaanxi, China, sntcm.edu.cn.
Mengxuan LiDepartment of Thyroid, Breast, and Vascular Surgery, Xijing Hospital of the Fourth Military Medical University, Xi'an, Shaanxi, China, fmmu.edu.cn.
Yidi WangDepartment of Thyroid, Breast, and Vascular Surgery, Xijing Hospital of the Fourth Military Medical University, Xi'an, Shaanxi, China, fmmu.edu.cn.
Mao WangDepartment of Surgical Oncology Medicine, The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China.
Shuai WangDepartment of Thyroid, Breast, and Vascular Surgery, Xijing Hospital of the Fourth Military Medical University, Xi'an, Shaanxi, China, fmmu.edu.cn.
Yujie BaiDepartment of Thyroid, Breast, and Vascular Surgery, Xijing Hospital of the Fourth Military Medical University, Xi'an, Shaanxi, China, fmmu.edu.cn.
Jianing SunDepartment of Thyroid, Breast, and Vascular Surgery, Xijing Hospital of the Fourth Military Medical University, Xi'an, Shaanxi, China, fmmu.edu.cn.
Cong FanDepartment of Thyroid, Breast, and Vascular Surgery, Xijing Hospital of the Fourth Military Medical University, Xi'an, Shaanxi, China, fmmu.edu.cn.
Jiajun DingDepartment of Thyroid, Breast, and Vascular Surgery, Xijing Hospital of the Fourth Military Medical University, Xi'an, Shaanxi, China, fmmu.edu.cn.ORCID https://orcid.org/0009-0000-9847-0745
Ting WangDepartment of Thyroid, Breast, and Vascular Surgery, Xijing Hospital of the Fourth Military Medical University, Xi'an, Shaanxi, China, fmmu.edu.cn.ORCID https://orcid.org/0000-0003-4121-7532

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cell-in-cell structures (CICs), a novel biomarker for complex cellular interactions, have garnered increasing attention for their potential in predicting cancer patient prognosis. However, the prognostic significance of CICs in tumor outcomes remains inconclusive. To address this, we conducted a meta-analysis to assess the prognostic value of CICs in solid tumors, adhering to the Meta-analyses Of Observational Studies in Epidemiology (MOOSE) guidelines. Methods: PubMed, Web of Science, and Cochrane Library databases were searched up to October 2024 for the retrieval of full articles. Studies related to the prognosis of cell-in-cell and solid tumors were considered eligible for analysis. The quality of the included studies was assessed according to the National Institute for Health and Clinical Excellence (NICE) Quality assessment tool. Results: We included 1836 patients with solid tumors to evaluate the association between overall cell-in-cell structures (oCICs) and prognosis, and 429 patients to evaluate the association between four subtypes of CICs (tumor-in-tumor [TiT], tumor-in-macrophage [TiM], macrophage-in-tumor [MiT], and lymphocyte-in-tumor [LiT]) and prognosis. We present the hazard ratio (HR) for overall survival (OS) for the number of CICs for each solid tumor. The combined HR for OS of oCICs was 1.64 (95% CI, 1.18-2.28; Conclusion: The presence of higher numbers of oCICs and LiT is an adverse prognostic factor for patients and affects OS.

Indexed as

NeoplasmsBiomarkers, TumorHumansPrognosisBiomarkers, Tumorcell-in-cell structureprognosissolid tumors

Identifiers

PMID41333373
PMCPMC12666160

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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.