Evidence map›Paper›PMID 27738343›Full record

ReviewOncotarget2017

Stem-like plasticity and heterogeneity of circulating tumor cells: current status and prospect challenges in liver cancer.

Margherita Correnti, Chiara Raggi

Abstract readReview
In one paragraph

Review in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  5. Review
  6. The protease-inhibitor SerpinB3 as a critical modulator of the stem-like subset in human cholangiocarcinoma.Liver international : official journal of the International Association for the Study of the Liver · 2022
    Article
  7. Review
  8. Article
  9. Cholangiocarcinoma 2020: the next horizon in mechanisms and management.Nature reviews. Gastroenterology & hepatology · 2020
    Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Iron Metabolism in Liver Cancer Stem Cells.Frontiers in oncology · 2019
    Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. 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

2 authors.

Margherita CorrentiCenter for Autoimmune Liver Diseases, Humanitas Clinical and Research Center, Rozzano, Italy.
Chiara RaggiCenter for Autoimmune Liver Diseases, Humanitas Clinical and Research Center, Rozzano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poor prognosis and high recurrence remain leading causes of primary liver cancer-associated mortality. The spread of circulating tumor cells (CTCs) in the blood plays a major role in the initiation of metastasis and tumor recurrence after surgery. Nevertheless, only a subset of CTCs can survive, migrate to distant sites and establish secondary tumors. Consistent with cancer stem cell (CSC) hypothesis, stem-like CTCs might represent a potential source for cancer relapse and distant metastasis. Thus, identification of stem-like metastasis-initiating CTC-subset may provide useful clinically prognostic information. This review will emphasize the most relevant findings of CTCs in the context of stem-like biology associated to liver carcinogenesis. In this view, the emerging field of stem-like CTCs may deliver substantial contribution in liver cancer field in order to move to personalized approaches for diagnosis, prognosis and therapy.

Indexed as

Cell PlasticityEpithelial-Mesenchymal TransitionHumansLiver NeoplasmsNeoplasm MetastasisNeoplasm Recurrence, LocalNeoplastic Cells, CirculatingPrognosiscancer stem cellscirculating tumor cellsprimary liver cancer

Identifiers

PMID27738343
PMCPMC5351693

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.