The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Autophagy Modulation in Cancer: Current Knowledge on Action and Therapy
Open accessAbstract
In the last two decades, accumulating evidence pointed to the importance of autophagy in various human diseases. As an essential evolutionary catabolic process of cytoplasmatic component digestion, it is generally believed that modulating autophagic activity, through targeting specific regulatory actors in the core autophagy machinery, may impact disease processes. Both autophagy upregulation and downregulation have been found in cancers, suggesting its dual oncogenic and tumor suppressor properties during malignant transformation. Identification of the key autophagy targets is essential for the development of new therapeutic agents. Despite this great potential, no therapies are currently available that specifically focus on autophagy modulation. Although drugs like rapamycin, chloroquine, hydroxychloroquine, and others act as autophagy modulators, they were not originally developed for this purpose. Thus, autophagy may represent a new and promising pharmacologic target for future drug development and therapeutic applications in human diseases. Here, we summarize our current knowledge in regard to the interplay between autophagy and malignancy in the most significant tumor types: pancreatic, breast, hepatocellular, colorectal, and lung cancer, which have been studied in respect to autophagy manipulation as a promising therapeutic strategy. Finally, we present an overview of the most recent advances in therapeutic strategies involving autophagy modulators in cancer.
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
Sorafenib in advanced hepatocellular carcinoma
Llovet, J. M., Ricci, S., Mazzaferro, V., Hilgard, P., Gane, E., Blanc, J.-F., de Oliveira, A. C., Santoro, A., Raoul, J.-L., Forner, A., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0708857 · Cited by 13,097
AMPK and mTOR regulate autophagy through direct phosphorylation of Ulk1
Kim, J., Kundu, M., Viollet, B., & Guan, K.-L. (2011) · Nature Cell Biology · doi:10.1038/ncb2152 · Cited by 7,227
Autophagy in the Pathogenesis of Disease
Levine, B., & Kroemer, G. (2008) · Cell · doi:10.1016/j.cell.2007.12.018 · Cited by 7,069
LC3, a mammalian homologue of yeast Apg8p, is localized in autophagosome membranes after processing.
Kabeya, Y., Mizushima, N., Ueno, T., Yamamoto, A., Kirisako, T., Noda, T., Kominami, E., Ohsumi, Y., & Yoshimori, T. (2000) · The EMBO Journal · doi:10.1093/emboj/19.21.5720 · Cited by 6,605
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition).
Klionsky, D. J., Abdelmohsen, K., Abe, A., Abedin, M. J., Abeliovich, H., Acevedo Arozena, A., Adachi, H., Adams, C. M., Adams, P. D., Adeli, K., et al. (2016) · Autophagy · doi:10.1080/15548627.2015.1100356 · Cited by 5,894
Cheng, A.-L., Kang, Y.-K., Chen, Z., Tsao, C.-J., Qin, S., Kim, J. S., Luo, R., Feng, J., Ye, S., Yang, T.-S., et al. (2009) · The Lancet Oncology · doi:10.1016/s1470-2045(08)70285-7 · Cited by 5,832
AMPK: a nutrient and energy sensor that maintains energy homeostasis
Hardie, D. G., Ross, F. A., & Hawley, S. A. (2012) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3311 · Cited by 4,602
Pankiv, S., Clausen, T. H., Lamark, T., Brech, A., Bruun, J.-A., Outzen, H., Øvervatn, A., Bjørkøy, G., & Johansen, T. (2007) · Journal of Biological Chemistry · doi:10.1074/jbc.m702824200 · Cited by 4,578 · cited 1×
“p62/SQSTM1 (known as sequestosome-1, here referred to as p62) is a selective autophagy receptor that binds LC3 and recruits the selected cargo to the maturing autophagosome [110, 111].”
BackgroundAMPK Phosphorylation of Raptor Mediates a Metabolic Checkpoint
Gwinn, D. M., Shackelford, D. B., Egan, D. F., Mihaylova, M. M., Mery, A., Vasquez, D. S., Turk, B. E., & Shaw, R. J. (2008) · Molecular Cell · doi:10.1016/j.molcel.2008.03.003 · Cited by 3,849
Cited by
The interplay of ROS and the PI3K/Akt pathway in autophagy regulation
Kma, L., & Baruah, T. J. (2022) · Biotechnology and Applied Biochemistry · doi:10.1002/bab.2104 · Cited by 394
Autophagy-related Proteins as a Prognostic Factor of Patients With Colorectal Cancer
Koustas, E., Sarantis, P., Theoharis, S., Saetta, A. A., Chatziandreou, I., Kyriakopoulou, G., Giannopoulou, I., Michelli, M., Schizas, D., Papavassiliou, A. G., et al. (2019) · American Journal of Clinical Oncology · doi:10.1097/coc.0000000000000592 · Cited by 44
Metadata
- Authors
- Marinković, M., Šprung, M., Buljubašić, M., & Novak, I.
- Venue
- Oxidative Medicine and Cellular Longevity
- Publisher
- Wiley
- Published
- 2018-01
- Volume
- 2018
- Issue
- 1
- Pages
- 8023821-8023821
- ISSN
- 1942-0994 (ISSN-L)
- 1942-0900
- OpenAlex
- W2788725020
- Cited by
- 211
- References
- 41
- FWCI
- 20.80
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Autophagy Modulation in Cancer: Current Knowledge on Action and Therapy. https://app.cochat.ai/papers/10.1155/2018/8023821
- The paper
- Marinković, M., Šprung, M., Buljubašić, M., & Novak, I. (2018). Autophagy Modulation in Cancer: Current Knowledge on Action and Therapy. Oxidative Medicine and Cellular Longevity. https://doi.org/10.1155/2018/8023821
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.
