Long non-coding RNA AK027294 involves in the process of proliferation, migration, and apoptosis of colorectal cancer cells Article Swipe
Hui Niu
,
Zhaoyang Hu
,
Hui Liu
,
Guoliang Hu
,
Bo Yang
,
Shixiu Wu
,
Fang Li
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1007/s13277-015-4350-x
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1007/s13277-015-4350-x
This study is aimed to investigate the differentially expressed long non-coding RNAs (lncRNAs) in colorectal cancer and its potential biological function. Colorectal adenoma is the precancerous lesions of colorectal cancer, so in this study, we used colorectal adenoma as negative control. The global lncRNA expression profile in colorectal cancer and adenoma was evaluated by bioinformatics. The biological functions and potential mechanism of AK027294 were investigated in HCT116, HCT8, and SW480 colorectal cancer cells. A total of 135 lncRNAs were found to be differentially expressed in colorectal cancer and adenoma tissues. Among them, 71 lncRNAs were up-regulated and 64 lncRNAs were down-regulated. Especially, AK027294 was found to be highly expressed in colorectal cancer tissues compared with colorectal adenoma tissues (fold change is 184.5). Our results indicated that AK027294 down-regulation significantly inhibited colorectal cancer cells proliferation and migration, but promoted cell apoptosis (P < 0.05). The potential mechanism of AK027294 might be associated with the regulation of caspase-3, caspase-8, Bcl-2, MMP12, MMP9, and TWIST. The lncRNA expression profile in colorectal cancer suggests lncRNAs may play important roles in the occurrence and progression of colorectal cancer. AK027294 is highly expressed in colorectal cancer and closely correlates with colorectal cells proliferation, migration, and apoptosis.
Related Topics
Concepts
Colorectal cancer
Colorectal adenoma
Cancer research
Long non-coding RNA
Apoptosis
Adenoma
Cell growth
Cancer
Mouse model of colorectal and intestinal cancer
Biology
Medicine
Internal medicine
RNA
Gene
Genetics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s13277-015-4350-x
- https://link.springer.com/content/pdf/10.1007%2Fs13277-015-4350-x.pdf
- OA Status
- hybrid
- Cited By
- 24
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2267956251
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2267956251Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/s13277-015-4350-xDigital Object Identifier
- Title
-
Long non-coding RNA AK027294 involves in the process of proliferation, migration, and apoptosis of colorectal cancer cellsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-01-27Full publication date if available
- Authors
-
Hui Niu, Zhaoyang Hu, Hui Liu, Guoliang Hu, Bo Yang, Shixiu Wu, Fang LiList of authors in order
- Landing page
-
https://doi.org/10.1007/s13277-015-4350-xPublisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.1007%2Fs13277-015-4350-x.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://link.springer.com/content/pdf/10.1007%2Fs13277-015-4350-x.pdfDirect OA link when available
- Concepts
-
Colorectal cancer, Colorectal adenoma, Cancer research, Long non-coding RNA, Apoptosis, Adenoma, Cell growth, Cancer, Mouse model of colorectal and intestinal cancer, Biology, Medicine, Internal medicine, RNA, Gene, GeneticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
24Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1, 2023: 1, 2022: 1, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
26Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.functions | 57 |
| abstract_inverted_index.important | 173 |
| abstract_inverted_index.indicated | 124 |
| abstract_inverted_index.inhibited | 129 |
| abstract_inverted_index.mechanism | 60, 145 |
| abstract_inverted_index.potential | 18, 59, 144 |
| abstract_inverted_index.Colorectal | 21 |
| abstract_inverted_index.apoptosis. | 199 |
| abstract_inverted_index.associated | 150 |
| abstract_inverted_index.biological | 19, 56 |
| abstract_inverted_index.caspase-3, | 155 |
| abstract_inverted_index.caspase-8, | 156 |
| abstract_inverted_index.colorectal | 14, 28, 36, 47, 70, 85, 110, 115, 130, 167, 181, 188, 194 |
| abstract_inverted_index.correlates | 192 |
| abstract_inverted_index.expression | 44, 164 |
| abstract_inverted_index.migration, | 135, 197 |
| abstract_inverted_index.non-coding | 10 |
| abstract_inverted_index.occurrence | 177 |
| abstract_inverted_index.regulation | 153 |
| abstract_inverted_index.Especially, | 101 |
| abstract_inverted_index.investigate | 5 |
| abstract_inverted_index.progression | 179 |
| abstract_inverted_index.investigated | 64 |
| abstract_inverted_index.precancerous | 25 |
| abstract_inverted_index.up-regulated | 95 |
| abstract_inverted_index.proliferation | 133 |
| abstract_inverted_index.significantly | 128 |
| abstract_inverted_index.differentially | 7, 82 |
| abstract_inverted_index.proliferation, | 196 |
| abstract_inverted_index.bioinformatics. | 54 |
| abstract_inverted_index.down-regulated. | 100 |
| abstract_inverted_index.down-regulation | 127 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5100387566 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I4210133042 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.5199999809265137 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.86878232 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |