Evidence map›Paper›PMID 28105198›Full record

ArticleOncology letters2016

A circulating tumor cell cluster-based model for tumor metastasis (Hypothesis).

Yupeng Hong, Ziduo Li, Qi Zhang

Registry-linked trialAbstract read
In one paragraph

Article in Oncology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04239105 (Detection and Analysis of Circulating Tumor Cells), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

NCT04239105 unknown statusnot on this mapstarted 2020, after this paper: background citation

Detection and Analysis of Circulating Tumor Cells (CTCs) in Patients With Breast Cancer Using a Novel Microfluidic and Raman Spectrum Device

TypeobservationalSponsorXijing HospitalRan2020 to 2022Enrolled120ConditionsBreast Neoplasms, Circulating Tumor CellsArmsMicrofluidic and Raman spectrum
3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Circulating Tumor Cell Clusters: United We Stand Divided We Fall.International journal of molecular sciences · 2020
    Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. 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

3 authors.

Yupeng HongDepartment of Oncology, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang 310006, P.R. China.
Ziduo LiAustralian and New Zealand Army Corps Research Institute, University of Sydney, Sydney, New South Wales 2006, Australia.
Qi ZhangDepartment of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastasis is the major cause of mortality in patients with malignancies; however, the mechanisms of tumor cell dissemination and metastasis formation are obscure. Circulating tumor cells (CTCs) are believed to be a critical step for distant metastasis and are associated with a poor patient prognosis. The precise processes of metastasis formation from CTCs are vague. In the present study, we hypothesize that two CTC cluster-based mechanisms of tumor cell inoculation in ectopic organs may be viable: i) Formation of a micro-cancer embolus due to interception of CTC clusters by small vessels; and ii) formation of micrometastasis in an extravasation-dependent or -independent manner. Pathological evidence of micro-cancer emboli is critical for the verifications of this hypothesis. If proved true, this hypothesis will provide a novel perspective for cancer metastasis and has valuable clinical implications.

Indexed as

CTC clusterepithelial-mesenchymal transitionextravasationmetastasismicro-cancer embolus

Identifiers

PMID28105198
PMCPMC5228435

What OpenQuestion holds

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Registered trials

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.