Evidence map›Paper›PMID 37034205›Full record

ArticleAmerican journal of cancer research2023

Subtype-based analysis of cell-in-cell structures in non-small cell lung cancer.

Yuexian Wei, Zubiao Niu, Xinyu Hou, Mengzhe Liu, Yuqi Wang, Yongan Zhou, Chenxi Wang, Qunfeng Ma, Yichao Zhu, Xinyue Gao and 12 more

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
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

22 authors at 6 institutions in 2 countries.

Yuexian WeiCollege of Life Science and Bioengineering, School of Science, Beijing Jiaotong University Beijing 100044, China.
Zubiao NiuLaboratory of Cell Engineering, Beijing Institute of Biotechnology Beijing 100071, China.
Xinyu HouDepartment of Oncology, Beijing Shijitan Hospital of Capital Medical University Beijing 100038, China.
Mengzhe LiuCollege of Life Science and Bioengineering, School of Science, Beijing Jiaotong University Beijing 100044, China.
Yuqi WangCollege of Life Science and Bioengineering, School of Science, Beijing Jiaotong University Beijing 100044, China.
Yongan ZhouDepartment of Thoracic Surgery, The Second Affiliated Hospital of Air Force Military Medical University Xi'an 710032, Shaanxi, China.
Chenxi WangLaboratory of Cell Engineering, Beijing Institute of Biotechnology Beijing 100071, China.
Qunfeng MaDepartment of Thoracic Surgery, The Fifth Medical Center of Chinese PLA General Hospital Beijing 100071, China.
Yichao ZhuLaboratory of Cell Engineering, Beijing Institute of Biotechnology Beijing 100071, China.
Xinyue GaoLaboratory of Cell Engineering, Beijing Institute of Biotechnology Beijing 100071, China.
Peiyun LiSchool of Science, Beijing Jiaotong University Beijing 100044, China.
Shuo GaoSchool of Science, Beijing Jiaotong University Beijing 100044, China.
Sibo ZhanSchool of Science, Beijing Jiaotong University Beijing 100044, China.
Zi YangSchool of Science, Beijing Jiaotong University Beijing 100044, China.
Yanhong TaiDepartment of Pathology, The Fifth Medical Center of Chinese PLA General Hospital Beijing 100071, China.
Qiuju ShaoDepartment of Radiotherapy, The Second Affiliated Hospital of Air Force Military Medical University Xi'an 710032, China.
Jianlin GeCollege of Life Science and Bioengineering, School of Science, Beijing Jiaotong University Beijing 100044, China.
Jilei HuaCollege of Life Science and Bioengineering, School of Science, Beijing Jiaotong University Beijing 100044, China.
Lihua GaoLaboratory of Cell Engineering, Beijing Institute of Biotechnology Beijing 100071, China.
Qiang SunLaboratory of Cell Engineering, Beijing Institute of Biotechnology Beijing 100071, China.
Hong JiangCollege of Life Science and Bioengineering, School of Science, Beijing Jiaotong University Beijing 100044, China.
Hongyan HuangDepartment of Oncology, Beijing Shijitan Hospital of Capital Medical University Beijing 100038, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNBeijing Jiaotong University · CNBeijing Shijitan Hospital · CNChinese PLA General Hospital · CNPeople 's Liberation Army 451 Hospital · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is ranked as the leading cause of cancer-related death worldwide, and the development of novel biomarkers is helpful to improve the prognosis of non-small cell lung cancer (NSCLC). Cell-in-cell structures (CICs), a novel functional surrogate of complicated cell behaviors, have shown promise in predicting the prognosis of cancer patients. However, the CIC profiling and its prognostic value remain unclear in NSCLC. In this study, we retrospectively explored the CIC profiling in a cohort of NSCLC tissues by using the "Epithelium-Macrophage-Leukocyte" (EML) method. The distribution of CICs was examined by the Chi-square test, and univariate and multivariate analyses were performed for survival analysis. Four types of CICs were identified in lung cancer tissues, namely, tumor-in-tumor (TiT), tumor-in-macrophage (TiM), lymphocyte-in-tumor (LiT), and macrophage-in-tumor (MiT). Among them, the latter three constituted the heterotypic CICs (heCICs). Overall, CICs were more frequently present in adenocarcinoma than in squamous cell carcinoma (

Indexed as

Cell-in-cell structuresfunctional pathologylung cancerNSCLCprognosis

Identifiers

PMID37034205
PMCPMC10077035
OpenAlexW4363646054

What OpenQuestion holds

Textmetadata
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.