The DOI matches its Crossref record; 149 of the 149 references it cites were found in a registry or an index.
Let‐7 as biomarker, prognostic indicator, and therapy for precision medicine in cancer
Open accessAbstract
Abnormal regulation and expression of microRNAs (miRNAs) has been documented in various diseases including cancer. The miRNA let‐7 (MIRLET7) family controls developmental timing and differentiation. Let‐7 loss contributes to carcinogenesis via an increase in its target oncogenes and stemness factors. Let‐7 targets include genes regulating the cell cycle, cell signaling, and maintenance of differentiation. It is categorized as a tumor suppressor because it reduces cancer aggressiveness, chemoresistance, and radioresistance. However, in rare situations let‐7 acts as an oncogene, increasing cancer migration, invasion, chemoresistance, and expression of genes associated with progression and metastasis. Here, we review let‐7 function as tumor suppressor and oncogene, considering let‐7 as a potential diagnostic and prognostic marker, and a therapeutic target for cancer treatment. We explain the complex regulation and function of different let‐7 family members, pointing to abnormal processes involved in carcinogenesis. Let‐7 is a promising option to complement conventional cancer therapy, but requires a tumor specific delivery method to avoid toxicity. While let‐7 therapy is not yet established, we make the case that assessing its tumor presence is crucial when choosing therapy. Clinical data demonstrate that let‐7 can be used as a biomarker for rational precision medicine decisions, resulting in improved patient survival.
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
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
The 21-nucleotide let-7 RNA regulates developmental timing in Caenorhabditis elegans
Reinhart, B. J., Slack, F. J., Basson, M., Pasquinelli, A. E., Bettinger, J. C., Rougvie, A. E., Horvitz, H. R., & Ruvkun, G. (2000) · Nature · doi:10.1038/35002607 · Cited by 4,981
RAS Is Regulated by the let-7 MicroRNA Family
Johnson, S. M., Grosshans, H., Shingara, J., Byrom, M., Jarvis, R., Cheng, A., Labourier, E., Reinert, K. L., Brown, D., & Slack, F. J. (2005) · Cell · doi:10.1016/j.cell.2005.01.014 · Cited by 3,656
Switching from Repression to Activation: MicroRNAs Can Up-Regulate Translation
Vasudevan, S., Tong, Y., & Steitz, J. A. (2007) · Science · doi:10.1126/science.1149460 · Cited by 2,822
McGuire, W. P., Hoskins, W. J., Brady, M. F., Kucera, P. R., Partridge, E. E., Look, K. Y., Clarke-Pearson, D. L., & Davidson, M. (1996) · New England Journal of Medicine · doi:10.1056/nejm199601043340101 · Cited by 2,796
The role of MicroRNAs in human cancer
Peng, Y., & Croce, C. M. (2016) · Signal Transduction and Targeted Therapy · doi:10.1038/sigtrans.2015.4 · Cited by 2,483
Principles of MicroRNA–Target Recognition
Brennecke, J., Stark, A., Russell, R. B., & Cohen, S. M. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030085 · Cited by 2,378
Takamizawa, J., Konishi, H., Yanagisawa, K., Tomida, S., Osada, H., Endoh, H., Harano, T., Yatabe, Y., Nagino, M., Nimura, Y., et al. (2004) · Cancer Research · doi:10.1158/0008-5472.can-04-0637 · Cited by 2,354
let-7 Regulates Self Renewal and Tumorigenicity of Breast Cancer Cells
Yu, F., Yao, H., Zhu, P., Zhang, X., Pan, Q., Gong, C., Huang, Y., Hu, X., Su, F., Lieberman, J., et al. (2007) · Cell · doi:10.1016/j.cell.2007.10.054 · Cited by 1,910
Sempere, L. F., Freemantle, S., Pitha-Rowe, I., Moss, E., Dmitrovsky, E., & Ambros, V. (2004) · Genome Biology · doi:10.1186/gb-2004-5-3-r13 · Cited by 1,578
Cited by
Idiopathic Pulmonary Fibrosis: An Update on Pathogenesis
Mei, Q., Liu, Z., Zuo, H., Yang, Z., & Qu, J. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.797292 · Cited by 360
MicroRNA as an Important Target for Anticancer Drug Development
Fu, Z., Wang, L., Li, S., Chen, F., Au-Yeung, K. K.-W., & Shi, C. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.736323 · Cited by 133
Bernstein, D. L., Jiang, X., & Rom, S. (2021) · Biomedicines · doi:10.3390/biomedicines9060606 · Cited by 88
RNA-Targeted Therapies and High-Throughput Screening Methods
Zhu, S., Rooney, S., & Michlewski, G. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21082996 · Cited by 41
Metadata
- Authors
- Chirshev, E., Oberg, K. C., Ioffe, Y. J., & Unternaehrer, J. J.
- Venue
- Clinical and Translational Medicine
- Publisher
- Wiley
- Published
- 2019-08-28
- Volume
- 8
- Issue
- 1
- Pages
- 24-24
- ISSN
- 2001-1326 (ISSN-L)
- OpenAlex
- W2970033143
- Cited by
- 253
- References
- 149
- FWCI
- 9.54
- Type
- journal article
- Language
- en
- Open access
- gold
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: Let‐7 as biomarker, prognostic indicator, and therapy for precision medicine in cancer. https://app.cochat.ai/papers/10.1186/s40169-019-0240-y
- The paper
- Chirshev, E., Oberg, K. C., Ioffe, Y. J., & Unternaehrer, J. J. (2019). Let‐7 as biomarker, prognostic indicator, and therapy for precision medicine in cancer. Clinical and Translational Medicine. https://doi.org/10.1186/s40169-019-0240-y
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.