Decoding LncRNA in COPD: Unveiling Prognostic and Diagnostic Power and Their Driving Role in Lung Cancer Progression Article Swipe
Osama Sweef
,
Reda Z. Mahfouz
,
Tülin Taşcıoğlu
,
Ali Albowaidey
,
M Abdelmonem
,
Malek Asfar
,
Elsayed Zaabout
,
Yalitza Lopez Corcino
,
Venetia Thomas
,
Eun Seok Choi
,
Saori Furuta
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/ijms25169001
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/ijms25169001
Chronic obstructive pulmonary disease (COPD) and lung cancer represent formidable challenges in global health, characterized by intricate pathophysiological mechanisms and multifaceted disease progression. This comprehensive review integrates insights from diverse perspectives to elucidate the intricate roles of long non-coding RNAs (lncRNAs) in the pathogenesis of COPD and lung cancer, focusing on their diagnostic, prognostic, and therapeutic implications. In the context of COPD, dysregulated lncRNAs, such as NEAT1, TUG1, MALAT1, HOTAIR, and GAS5, emerge as pivotal regulators of genes involved in the disease pathogenesis and progression. Their identification, profiling, and correlation with the disease severity present promising avenues for prognostic and diagnostic applications, thereby shaping personalized disease interventions. These lncRNAs are also implicated in lung cancer, underscoring their multifaceted roles and therapeutic potential across both diseases. In the domain of lung cancer, lncRNAs play intricate modulatory roles in disease progression, offering avenues for innovative therapeutic approaches and prognostic indicators. LncRNA-mediated immune responses have been shown to drive lung cancer progression by modulating the tumor microenvironment, influencing immune cell infiltration, and altering cytokine production. Their dysregulation significantly contributes to tumor growth, metastasis, and chemo-resistance, thereby emphasizing their significance as therapeutic targets and prognostic markers. This review summarizes the transformative potential of lncRNA-based diagnostics and therapeutics for COPD and lung cancer, offering valuable insights into future research directions for clinical translation and therapeutic development.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.3390/ijms25169001
- OA Status
- gold
- Cited By
- 4
- References
- 291
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401698475
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4401698475Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/ijms25169001Digital Object Identifier
- Title
-
Decoding LncRNA in COPD: Unveiling Prognostic and Diagnostic Power and Their Driving Role in Lung Cancer ProgressionWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-08-19Full publication date if available
- Authors
-
Osama Sweef, Reda Z. Mahfouz, Tülin Taşcıoğlu, Ali Albowaidey, M Abdelmonem, Malek Asfar, Elsayed Zaabout, Yalitza Lopez Corcino, Venetia Thomas, Eun Seok Choi, Saori FurutaList of authors in order
- Landing page
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https://doi.org/10.3390/ijms25169001Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.3390/ijms25169001Direct OA link when available
- Concepts
-
Lung cancer, Tumor microenvironment, Medicine, Disease, Metastasis, COPD, Tumor progression, MALAT1, Cancer, Bioinformatics, Immune system, Immunology, Long non-coding RNA, Biology, Oncology, Pathology, Internal medicine, Downregulation and upregulation, Gene, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4Per-year citation counts (last 5 years)
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291Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.perspectives | 30 |
| abstract_inverted_index.progression, | 138 |
| abstract_inverted_index.progression. | 22, 84 |
| abstract_inverted_index.significance | 185 |
| abstract_inverted_index.therapeutics | 202 |
| abstract_inverted_index.underscoring | 115 |
| abstract_inverted_index.applications, | 101 |
| abstract_inverted_index.characterized | 14 |
| abstract_inverted_index.comprehensive | 24 |
| abstract_inverted_index.dysregulation | 173 |
| abstract_inverted_index.implications. | 56 |
| abstract_inverted_index.infiltration, | 167 |
| abstract_inverted_index.significantly | 174 |
| abstract_inverted_index.interventions. | 106 |
| abstract_inverted_index.transformative | 196 |
| abstract_inverted_index.LncRNA-mediated | 148 |
| abstract_inverted_index.identification, | 86 |
| abstract_inverted_index.chemo-resistance, | 181 |
| abstract_inverted_index.microenvironment, | 163 |
| abstract_inverted_index.pathophysiological | 17 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 97 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 11 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.44999998807907104 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.8378654 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |