Evidence map›Paper›PMID 28009002›Full record

ArticleScientific reports2016

Circulating tumor cell detection in hepatocellular carcinoma based on karyoplasmic ratios using imaging flow cytometry.

Zixin Liu, Weixing Guo, Dandan Zhang, Yanan Pang, Jie Shi, Siqin Wan, Kai Cheng, Jiaqi Wang, Shuqun Cheng

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Nanoscale advances · 2025
    Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Advances in Intraoperative Flow Cytometry.International journal of molecular sciences · 2022
    Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Cell Cytometry: Review and Perspective on Biotechnological Advances.Frontiers in bioengineering and biotechnology · 2019
    Review
  16. Article
  17. Review
  18. Article
  19. Emerging therapies in advanced hepatocellular carcinoma.Experimental hematology & oncology · 2018
    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

9 authors.

Zixin LiuEastern Hepatobiliary Surgery Hospital (EHBH), the Second Military Medical University, Shanghai 200433, China.
Weixing GuoEastern Hepatobiliary Surgery Hospital (EHBH), the Second Military Medical University, Shanghai 200433, China.
Dandan ZhangClinical Research Center, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Yanan PangClinical Research Center, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Jie ShiEastern Hepatobiliary Surgery Hospital (EHBH), the Second Military Medical University, Shanghai 200433, China.
Siqin WanEastern Hepatobiliary Surgery Hospital (EHBH), the Second Military Medical University, Shanghai 200433, China.
Kai ChengClinical Research Center, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Jiaqi WangClinical Research Center, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Shuqun ChengEastern Hepatobiliary Surgery Hospital (EHBH), the Second Military Medical University, Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor cells (CTCs) originate from tumor tissues and are associated with cancer prognosis. However, existing technologies for CTC detection are limited owing to a lack of specific or accurate biomarkers. Here, we developed a new method for CTC detection based on the karyoplasmic ratio, without biomarkers. Consecutive patients with liver cancer or non-cancer liver diseases were recruited. CTCs in blood samples were analyzed by imaging flow cytometry based on the karyoplasmic ratio as well as EpCAM and CD45. Microvascular invasion (MVI), tumor recurrence, and survival were recorded for all patients. A total of 56.2 ± 23.8/100,000 cells with high karyoplasmic ratios (HKR cells) were detected in cancer patients, which was higher than the number of HKR cells in the non-cancer group (7.6 ± 2.2/100,000). There was also a difference in HKR cells between liver cancer patients with and without MVI. Based on a receiver operating characteristic curve analysis, the threshold was 21.8 HKR cells per 100,000 peripheral blood mononuclear cells, and the area under the curve was higher than those of traditional methods (e.g., CD45 and EpCAM staining). These results indicate that the new CTC detection method was more sensitive and reliable than existing methods. Accordingly, it may improve clinical CTC detection.

Indexed as

Flow CytometryNeoplastic Cells, CirculatingCarcinoma, HepatocellularDisease-Free SurvivalFemaleHumansLiver NeoplasmsMaleNeoplasm Recurrence, LocalSurvival Rate

Identifiers

PMID28009002
PMCPMC5180239

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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.