Evidence map›Paper›PMID 26087197›Full record

ArticleOncotarget2015

The E3 ubiquitin ligase Cbl-b improves the prognosis of RANK positive breast cancer patients by inhibiting RANKL-induced cell migration and metastasis.

Lingyun Zhang, Yuee Teng, Yibo Fan, Yan Wang, Wei Li, Jing Shi, Yanju Ma, Ce Li, Xiaonan Shi, Xiujuan Qu and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Emerging Role of Ubiquitination in the Regulation of PD-1/PD-L1 in Cancer Immunotherapy.Molecular therapy : the journal of the American Society of Gene Therapy · 2021
    Review
  6. Article
  7. Article
  8. Article
  9. Expression and Comparison of Cbl-b in Lung Squamous Cell Carcinoma and Adenocarcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
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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

11 authors at 2 institutions in 1 country.

Lingyun ZhangDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Yuee TengDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Yibo FanDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Yan WangDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Wei LiDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Jing ShiDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Yanju MaDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Ce LiDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Xiaonan ShiDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Xiujuan QuDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Yunpeng LiuDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
China Medical University · CNFirst Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The receptor activator of nuclear factor κ-B ligand (RANKL)/RANK pathway plays an important role in breast cancer progression. Despite the known role of Casitas B-lineage lymphoma (Cbl)-b as an essential regulator of the RANKL/RANK pathway, its effect on RANK pathway in breast cancer remains unclear. Thus, the present study investigated the effect of Cbl-b on the prognosis of RANK-expressing breast cancer patients, as well as on RANKL/RANK pathway. The results showed that RANK and Cbl-b expression was separately detected in 154 (154/300, 51.3%) and 165 (165/300, 55.0%) breast cancer tissue samples. In RANK-expressing breast cancer patients, Cbl-b expression was correlated with low metastasis rate (p = 0.004), better disease-free survival (DFS) and breast cancer-specific survival (BCSS) (p = 0.004 and p = 0.036, respectively). In addition, multivariate analysis showed that Cbl-b expression was an independent predictor of DFS (p = 0.038). Animal experiment results demonstrated that silencing Cbl-b expression in breast cancer cells increased the incidence of lung metastasis in nude mice. Further mechanism investigation revealed that Cbl-b down-regulated RANK protein expression and inhibited RANKL-induced breast cancer cell migration by negatively regulating the Src-Akt/ERK pathway. Our results suggest that Cbl-b improves the prognosis of RANK-expressing breast cancer patients by inhibiting RANKL-induced breast cancer cell migration and metastasis.

Indexed as

Adaptor Proteins, Signal TransducingAdultAnimalsBreast NeoplasmsCell Line, TumorCell MovementFemaleHeterograftsHumansMCF-7 CellsMiceMice, NudeNeoplasm MetastasisPrognosisProto-Oncogene Proteins c-cblReceptor Activator of Nuclear Factor-kappa BAdaptor Proteins, Signal TransducingCBLB protein, humanProto-Oncogene Proteins c-cblReceptor Activator of Nuclear Factor-kappa BTNFRSF11A protein, humanbreast cancerCbl-bmetastasismigrationRANK

Identifiers

PMID26087197
PMCPMC4673209
OpenAlexW1940399528

What OpenQuestion holds

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LicenceCC BY
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.