The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
MicroRNA in lung cancer: role, mechanisms, pathways and therapeutic relevance
Abstract
Lung cancer is the cardinal cause of cancer-related deaths with restricted recourse of therapy throughout the world. Clinical success of therapies is not very promising due to - late diagnosis, limited therapeutic tools, relapse and the development of drug resistance. Recently, small ∼20-24 nucleotides molecules called microRNAs (miRNAs) have come into the limelight as they play outstanding role in the process of tumorigenesis by regulating cell cycle, metastasis, angiogenesis, metabolism and apoptosis. miRNAs essentially regulate gene expression via post-transcriptional regulation of mRNA. Nevertheless, few studies have conceded the role of miRNAs in activation of gene expression. A large body of data generated by numerous studies is suggestive of their tumor-suppressing, oncogenic, diagnostic and prognostic biomarker roles in lung cancer. They have also been implicated in regulating cancer cell metabolism and resistance or sensitivity towards chemotherapy and radiotherapy. Further, miRNAs have also been convoluted in regulation of immune checkpoints - Programmed death 1 (PD-1) and its ligand (PD-L1). These molecules play a significant role in tumor immune escape leading to the generation of a microenvironment favouring tumor growth and progression. Therefore, it is imperative to explore the expression of miRNA and understand its relevance in lung cancer and development of anti-cancer strategies (anti - miRs, miR mimics and micro RNA sponges). In view of the above, the role of miRNA in lung cancer has been dissected and the associated mechanisms and pathways are discussed in this review.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Siegel, R. L., Miller, K. D., & Jemal, A. (2017) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21387 · Cited by 14,712
The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14
Lee, R. C., Feinbaum, R. L., & Ambros, V. (1993) · Cell · doi:10.1016/0092-8674(93)90529-y · Cited by 12,948
Calin, G. A., Dumitru, C. D., Shimizu, M., Bichi, R., Zupo, S., Noch, E., Aldler, H., Rattan, S., Keating, M., Rai, K., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.242606799 · Cited by 5,111
A microRNA component of the p53 tumour suppressor network
He, L., He, X., Lim, L. P., de Stanchina, E., Xuan, Z., Liang, Y., Xue, W., Zender, L., Magnus, J., Ridzon, D., et al. (2007) · Nature · doi:10.1038/nature05939 · Cited by 2,692
MicroRNAs in cancer: biomarkers, functions and therapy
Hayes, J., Peruzzi, P. P., & Lawler, S. (2014) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2014.06.005 · Cited by 2,049
Crizotinib in ROS1-Rearranged Non–Small-Cell Lung Cancer
Shaw, A. T., Ou, S.-H. I., Bang, Y.-J., Camidge, D. R., Solomon, B. J., Salgia, R., Riely, G. J., Varella-Garcia, M., Shapiro, G. I., Costa, D. B., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1406766 · Cited by 1,964
PDL1 Regulation by p53 via miR-34
Cortez, M. A., Ivan, C., Valdecanas, D., Wang, X., Peltier, H. J., Ye, Y., Araujo, L., Carbone, D. P., Shilo, K., Giri, D. K., et al. (2016) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djv303 · Cited by 683
Modulation of K-Ras-Dependent Lung Tumorigenesis by MicroRNA-21
Hatley, M. E., Patrick, D. M., Garcia, M. R., Richardson, J. A., Bassel-Duby, R., van Rooij, E., & Olson, E. N. (2010) · Cancer Cell · doi:10.1016/j.ccr.2010.08.013 · Cited by 626
MicroRNAs in the p53 network: micromanagement of tumour suppression
Hermeking, H. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3318 · Cited by 518
Cited by
Radon Biomonitoring and microRNA in Lung Cancer
Bersimbaev, R., Pulliero, A., Bulgakova, O., Kussainova, A., Aripova, A., & Izzotti, A. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21062154 · Cited by 53
Liu, Y., Xia, Y., Smollar, J., Mao, W., & Wan, Y. (2021) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2021.188539 · Cited by 23
Long, L., Zhang, X., Bai, J., Li, Y., Wang, X., & Zhou, Y. (2019) · Cancer Management and Research · doi:10.2147/cmar.s198966 · Cited by 21
miR‑505 inhibits cell growth and EMT by targeting MAP3K3 through the AKT‑NFκB pathway in NSCLC cells
Tang, H., Lv, W., Sun, W., Bi, Q., & Hao, Y. (2018) · International Journal of Molecular Medicine · doi:10.3892/ijmm.2018.4041 · Cited by 21
Metadata
- Authors
- Iqbal, M. A., Arora, S., Prakasam, G., Calin, G. A., & Syed, M. A.
- Venue
- Molecular Aspects of Medicine
- Publisher
- Elsevier BV
- Published
- 2019-12
- Volume
- 70
- Pages
- 3-20
- ISSN
- 0098-2997 (ISSN-L)
- OpenAlex
- W2887154584
- Cited by
- 449
- References
- 9
- FWCI
- 11.18
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: MicroRNA in lung cancer: role, mechanisms, pathways and therapeutic relevance. https://app.cochat.ai/papers/10.1016/j.mam.2018.07.003
- The paper
- Iqbal, M. A., Arora, S., Prakasam, G., Calin, G. A., & Syed, M. A. (2019). MicroRNA in lung cancer: role, mechanisms, pathways and therapeutic relevance. Molecular Aspects of Medicine. https://doi.org/10.1016/j.mam.2018.07.003
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.