| Title |
Cancer cell dormancy: mechanisms and implications of cancer recurrence and metastasis
|
|---|---|
| Published in |
OncoTargets and therapy, October 2017
|
| DOI | 10.2147/ott.s140854 |
| Pubmed ID | |
| Authors |
Xiao-lei Gao, Mei Zhang, Ya-ling Tang, Xin-hua Liang |
| Abstract |
More recently, disease metastasis and relapse in many cancer patients several years (even some decades) after surgical remission are regarded as tumor dormancy. However, the knowledge of this phenomenon is cripplingly limited. Substantial quantities of reviews have summarized three main potential models that can be put forth to explain such process, including angiogenic dormancy, immunologic dormancy, and cellular dormancy. In this review, newly uncovered mechanisms governing cancer cell dormancy are discussed, with an emphasis on the cross talk between dormant cancer cells and their microenvironments. In addition, potential mechanisms of reactivation of these dormant cells in certain anatomic sites including lymph nodes and bone marrow are discussed. Molecular mechanism of cellular dormancy in head and neck cancer is also involved. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 230 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 45 | 20% |
| Student > Ph. D. Student | 30 | 13% |
| Student > Master | 25 | 11% |
| Researcher | 13 | 6% |
| Student > Postgraduate | 12 | 5% |
| Other | 34 | 15% |
| Unknown | 71 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 74 | 32% |
| Medicine and Dentistry | 38 | 17% |
| Agricultural and Biological Sciences | 13 | 6% |
| Immunology and Microbiology | 6 | 3% |
| Engineering | 3 | 1% |
| Other | 18 | 8% |
| Unknown | 78 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 June 2022.
All research outputs
#1,644,806
of 25,584,565 outputs
Outputs from OncoTargets and therapy
#32
of 2,967 outputs
Outputs of similar age
#32,219
of 331,783 outputs
Outputs of similar age from OncoTargets and therapy
#2
of 77 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,967 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 98% of its peers.
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We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.