The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
A Drug Repositioning Approach Identifies Tricyclic Antidepressants as Inhibitors of Small Cell Lung Cancer and Other Neuroendocrine Tumors
Open accessAbstract
Small cell lung cancer (SCLC) is an aggressive neuroendocrine subtype of lung cancer with high mortality. We used a systematic drug repositioning bioinformatics approach querying a large compendium of gene expression profiles to identify candidate U.S. Food and Drug Administration (FDA)–approved drugs to treat SCLC. We found that tricyclic antidepressants and related molecules potently induce apoptosis in both chemonaïve and chemoresistant SCLC cells in culture, in mouse and human SCLC tumors transplanted into immunocompromised mice, and in endogenous tumors from a mouse model for human SCLC. The candidate drugs activate stress pathways and induce cell death in SCLC cells, at least in part by disrupting autocrine survival signals involving neurotransmitters and their G protein–coupled receptors. The candidate drugs inhibit the growth of other neuroendocrine tumors, including pancreatic neuroendocrine tumors and Merkel cell carcinoma. These experiments identify novel targeted strategies that can be rapidly evaluated in patients with neuroendocrine tumors through the repurposing of approved drugs. Significance: Our work shows the power of bioinformatics-based drug approaches to rapidly repurpose FDA-approved drugs and identifies a novel class of molecules to treat patients with SCLC, a cancer for which no effective novel systemic treatments have been identified in several decades. In addition, our experiments highlight the importance of novel autocrine mechanisms in promoting the growth of neuroendocrine tumor cells. Cancer Discov; 3(12); 1364–77. ©2013 AACR. See related commentary by Wang and Byers, p. 1333 This article is highlighted in the In This Issue feature, p. 1317
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
The versatility and universality of calcium signalling
Berridge, M. J., Lipp, P., & Bootman, M. D. (2000) · Nature Reviews Molecular Cell Biology · doi:10.1038/35036035 · Cited by 5,701
Drug repositioning: identifying and developing new uses for existing drugs
Ashburn, T. T., & Thor, K. B. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1468 · Cited by 3,237
Bhattacharjee, A., Richards, W. G., Staunton, J., Li, C., Monti, S., Vasa, P., Ladd, C., Beheshti, J., Bueno, R., Gillette, M., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.191502998 · Cited by 2,576
Function and regulation of CREB family transcription factors in the nervous system
Lonze, B. E., & Ginty, D. D. (2002) · Neuron · doi:10.1016/s0896-6273(02)00828-0 · Cited by 2,127
Hanahan, D. (1985) · Nature · doi:10.1038/315115a0 · Cited by 1,281
van Meerbeeck, J. P., Fennell, D. A., & De Ruysscher, D. K. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60165-7 · Cited by 1,237
Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference
Cheng, F., Liu, C., Jiang, J., Lu, W., Li, W., Liu, G., Zhou, W., Huang, J., & Tang, Y. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002503 · Cited by 818
Sirota, M., Dudley, J. T., Kim, J., Chiang, A. P., Morgan, A. A., Sweet-Cordero, A., Sage, J., & Butte, A. J. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3001318 · Cited by 799
Self-citationLee, M. J., Ye, A. S., Gardino, A. K., Heijink, A. M., Sorger, P. K., MacBeath, G., & Yaffe, M. B. (2012) · Cell · doi:10.1016/j.cell.2012.03.031 · Cited by 680
Computational Repositioning of the Anticonvulsant Topiramate for Inflammatory Bowel Disease
Dudley, J. T., Sirota, M., Shenoy, M., Pai, R. K., Roedder, S., Chiang, A. P., Morgan, A. A., Sarwal, M. M., Pasricha, P. J., & Butte, A. J. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3002648 · Cited by 605
Self-citation
Cited by
Comprehensive genomic profiles of small cell lung cancer
George, J., Lim, J. S., Jang, S. J., Cun, Y., Ozretić, L., Kong, G., Leenders, F., Lu, X., Fernández-Cuesta, L., Bosco, G., et al. (2015) · Nature · doi:10.1038/nature14664 · Cited by 2,340
Self-citationZanganeh, S., Hutter, G., Spitler, R., Lenkov, O., Mahmoudi, M., Shaw, A., Pajarinen, J. S., Nejadnik, H., Goodman, S., Moseley, M., et al. (2016) · Nature Nanotechnology · doi:10.1038/nnano.2016.168 · Cited by 1,647
Sen, T., Rodriguez, B. L., Chen, L., Corte, C. M. D., Morikawa, N., Fujimoto, J., Cristea, S., Nguyen, T., Diao, L., Li, L., et al. (2019) · Cancer Discovery · doi:10.1158/2159-8290.cd-18-1020 · Cited by 902
Self-citationCysteine cathepsin proteases: regulators of cancer progression and therapeutic response
Olson, O. C., & Joyce, J. A. (2015) · Nature Reviews Cancer · doi:10.1038/nrc4027 · Cited by 699
Drug repurposing: a promising tool to accelerate the drug discovery process
Parvathaneni, V., Kulkarni, N. S., Muth, A., & Gupta, V. (2019) · Drug Discovery Today · doi:10.1016/j.drudis.2019.06.014 · Cited by 597
Metadata
- Authors
- Jahchan, N. S., Dudley, J. T., Mazur, P. K., Flores, N., Yang, D., Palmerton, A., Zmoos, A.-F., Vaka, D., Tran, K. Q. T., Zhou, M., Krasinska, K., Riess, J. W., Neal, J. W., Khatri, P., Park, K. S., Butte, A. J., & Sage, J.
- Venue
- Cancer Discovery
- Published
- 2013-12-01
- Volume
- 3
- Issue
- 12
- Pages
- 1364-1377
- ISSN
- 2159-8274 (ISSN-L)
- 2159-8290
- OpenAlex
- W2097834966
- Cited by
- 358
- References
- 44
- FWCI
- 17.07
- Type
- journal article
- Language
- en
- Open access
- green
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: A Drug Repositioning Approach Identifies Tricyclic Antidepressants as Inhibitors of Small Cell Lung Cancer and Other Neuroendocrine Tumors. https://app.cochat.ai/papers/10.1158/2159-8290.cd-13-0183
- The paper
- Jahchan, N. S., Dudley, J. T., Mazur, P. K., Flores, N., Yang, D., Palmerton, A., Zmoos, A.-F., Vaka, D., Tran, K. Q. T., Zhou, M., Krasinska, K., Riess, J. W., Neal, J. W., Khatri, P., Park, K. S., Butte, A. J., & Sage, J. (2013). A Drug Repositioning Approach Identifies Tricyclic Antidepressants as Inhibitors of Small Cell Lung Cancer and Other Neuroendocrine Tumors. Cancer Discovery. https://doi.org/10.1158/2159-8290.cd-13-0183
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.
