Evidence map›Paper›PMID 28301871›Full record

ReviewBritish journal of cancer2017

A unified model of the hierarchical and stochastic theories of gastric cancer.

Yanjing Song, Yao Wang, Chuan Tong, Hongqing Xi, Xudong Zhao, Yi Wang, Lin Chen

Abstract readReview
In one paragraph

Review in British journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
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  3. Rethinking Oxidative Stress inLife (Basel, Switzerland) · 2026
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  13. A radiobiological perspective on radioresistance or/and radiosensitivity of head and neck squamous cell carcinoma.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2023
    Review
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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

7 authors.

Yanjing SongDepartment of General Surgery, Chinese PLA General Hospital, Beijing 100853, China.
Yao WangDepartment of Immunology, Institute of Basic Medicine, School of Life Sciences, Chinese PLA General Hospital, Beijing 100853, China.
Chuan TongDepartment of Immunology, Institute of Basic Medicine, School of Life Sciences, Chinese PLA General Hospital, Beijing 100853, China.
Hongqing XiDepartment of General Surgery, Chinese PLA General Hospital, Beijing 100853, China.
Xudong ZhaoDepartment of General Surgery, Chinese PLA General Hospital, Beijing 100853, China.
Yi WangDepartment of General Surgery, Chinese PLA General Hospital, Beijing 100853, China.
Lin ChenDepartment of General Surgery, Chinese PLA General Hospital, Beijing 100853, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) is a life-threatening disease worldwide. Despite remarkable advances in treatments for GC, it is still fatal to many patients due to cancer progression, recurrence and metastasis. Regarding the development of novel therapeutic techniques, many studies have focused on the biological mechanisms that initiate tumours and cause treatment resistance. Tumours have traditionally been considered to result from somatic mutations, either via clonal evolution or through a stochastic model. However, emerging evidence has characterised tumours using a hierarchical organisational structure, with cancer stem cells (CSCs) at the apex. Both stochastic and hierarchical models are reasonable systems that have been hypothesised to describe tumour heterogeneity. Although each model alone inadequately explains tumour diversity, the two models can be integrated to provide a more comprehensive explanation. In this review, we discuss existing evidence supporting a unified model of gastric CSCs, including the regulatory mechanisms of this unified model in addition to the current status of stemness-related targeted therapy in GC patients.

Indexed as

Models, TheoreticalMolecular Targeted TherapyHumansNeoplastic Stem CellsSignal TransductionStomach Neoplasms

Identifiers

PMID28301871
PMCPMC5396111

What OpenQuestion holds

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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.