Evidence map›Paper›PMID 22241087›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2012

Detection of circulating tumor cells and tumor stem cells in patients with breast cancer by using flow cytometry: a valuable tool for diagnosis and prognosis evaluation.

Ningfang Wang, Lan Shi, Huiyu Li, Yanjie Hu, Wen Du, Wei Liu, Jin'e Zheng, Shiang Huang, Xincai Qu

Abstract read
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In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 54 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Circulating CD45Frontiers in medical technology · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Molecular characterization of CD44Virchows Archiv : an international journal of pathology · 2017
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Ningfang WangDepartment of Center for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei, 430022, China.
Lan Shi
Huiyu Li
Yanjie Hu
Wen Du
Wei Liu
Jin'e Zheng
Shiang Huang
Xincai Qu
Union Hospital · CNHuazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor stem cells (CTSC), a subpopulation of circulating tumor cells (CTC), may lead to recurrent diseases. The aim of this study was to detect CTC (CD45(-)EpCAM(+)) and CTSC (CD45(-)EpCAM(+)CD44(+)CD24(-)) of breast cancer (BC) patients, as well as to explore their clinical relevance. CTC and CTSC in peripheral blood (PB) of 45 female BC patients were detected by using flow cytometry (FCM). SKBR-3 cells were mixed with MNC of four healthy volunteers at different ratios in order to evaluate the sensitivity of FCM. Real-time quantitative polymerase chain reaction (QRT-PCR) was conducted and compared with FCM. The expression of EPCAM between CTC < 50 and CTC ≥ 50 groups (19.98 ± 23.93 versus 29.46 ± 29.27 × 10(-5)), and the expression of CD44 between CTSC negative and positive groups (0.85 ± 0.91 versus 0.81 ± 0.75) were statistically the same. FCM had higher specificity than QRT-PCR. Statistical differences were obtained between CTC < 50 and CTC ≥ 50 groups among different TNM stages, histology stages, estrogen receptor (ER) status and progesterone receptor (PR) status (P < 0.05). Statistical differences between CTSC negative and positive groups within different TNM stages and regional lymph node metastasis (RLNM) status (P < 0.05) were also obtained. Moreover, the percentage of CTC on CD45 negative cells (CD45(-)C) among different clinical pathology was statistically different, P = 0.000. Additionally, the percentage of CTSC on CD45(-)C with TNM stage was rising (0: 0.00 ± 0.00‰, I: 0.03 ± 0.05‰, II: 0.06 ± 0.14‰, III: 0.10 ± 0.09‰, IV: 0.29 ± 0.35‰, P = 0.034). Statistical difference in the percentage of CTSC on CD45(-)C among different RLNM status (P = 0.001) was also obtained. FCM to detect CTC and CTSC may be used to diagnose disease at early stage, to guide clinical therapy or to predict prognosis.

Indexed as

AdultAgedAntigens, NeoplasmBreast NeoplasmsCell Adhesion MoleculesEpithelial Cell Adhesion MoleculeFemaleFlow CytometryHumansHyaluronan ReceptorsLeukocyte Common AntigensMiddle AgedNeoplastic Cells, CirculatingNeoplastic Stem CellsPrognosisReal-Time Polymerase Chain ReactionAntigens, NeoplasmCell Adhesion MoleculesEpithelial Cell Adhesion MoleculeHyaluronan ReceptorsLeukocyte Common AntigensReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID22241087
OpenAlexW1571158533

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.