The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Targeting of cancer neoantigens with donor-derived T cell receptor repertoires
Open accessAbstract
Outsourcing cancer immunotherapy: Successful cancer immunotherapy depends on a patient's T cells recognizing tumor-specific mutations and then waging a lethal attack. Despite tumors harboring many mutations, most individuals have very few T cells that respond to these so-called “neo-antigens.” Strønen et al. isolated T cells from healthy donors that responded to predicted neo-antigens expressed by melanomas taken from three patients, sometimes including neo-antigens that the patient's own T cells ignored (see the Perspective by Yadav and Delamarre). Testing whether such an outsourcing strategy could improve clinical outcomes will be an important next step. Science , this issue p. 1337 ; see also p. 1275
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 Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
pROC: an open-source package for R and S+ to analyze and compare ROC curves
Robin, X., Turck, N., Hainard, A., Tiberti, N., Lisacek, F., Sanchez, J.-C., & Müller, M. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-77 · Cited by 13,697
Fast and accurate long-read alignment with Burrows-Wheeler transform.
Li, H., & Durbin, R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp698 · Cited by 12,063
Cingolani, P., Platts, A., Wang, L. L., Coon, M., Nguyen, T., Wang, L., Land, S. J., Lu, X., & Ruden, D. M. (2012) · Fly · doi:10.4161/fly.19695 · Cited by 11,816
TopHat: discovering splice junctions with RNA-Seq
Trapnell, C., Pachter, L., & Salzberg, S. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp120 · Cited by 11,617
A framework for variation discovery and genotyping using next-generation DNA sequencing data
DePristo, M. A., Banks, E., Poplin, R., Garimella, K. V., Maguire, J. R., Hartl, C., Philippakis, A. A., del Angel, G., Rivas, M. A., Hanna, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.806 · Cited by 11,456
Genome engineering using the CRISPR-Cas9 system
Ran, F. A., Hsu, P. D., Wright, J., Agarwala, V., Scott, D. A., & Zhang, F. (2013) · Nature Protocols · doi:10.1038/nprot.2013.143 · Cited by 11,133
Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
Rizvi, N. A., Hellmann, M. D., Snyder, A., Kvistborg, P., Makarov, V., Havel, J. J., Lee, W., Yuan, J., Wong, P., Ho, T. S., et al. (2015) · Science · doi:10.1126/science.aaa1348 · Cited by 7,802
Self-citationThe future of immune checkpoint therapy
Sharma, P., & Allison, J. P. (2015) · Science · doi:10.1126/science.aaa8172 · Cited by 4,878
Cited by
Drost, J., & Clevers, H. (2018) · Nature Reviews Cancer · doi:10.1038/s41568-018-0007-6 · Cited by 1,790
Universal Patterns of Selection in Cancer and Somatic Tissues
Martincorena, I., Raine, K. M., Gerstung, M., Dawson, K. J., Haase, K., Van Loo, P., Davies, H., Stratton, M. R., & Campbell, P. J. (2017) · Cell · doi:10.1016/j.cell.2017.09.042 · Cited by 1,523
Targeting neoantigens to augment antitumour immunity
Yarchoan, M., Johnson, B. A., Lutz, E. R., Laheru, D. A., & Jaffee, E. M. (2017) · Nature Reviews Cancer · doi:10.1038/nrc.2016.154 · Cited by 997
Neoantigens: promising targets for cancer therapy
Xie, N., Shen, G., Gao, W., Huang, Z., Huang, C., & Fu, L. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01270-x · Cited by 1,020
MHC-II neoantigens shape tumour immunity and response to immunotherapy
Alspach, E., Lussier, D. M., Miceli, A. P., Kizhvatov, I., DuPage, M., Luoma, A. M., Meng, W., Lichti, C. F., Esaulova, E., Vomund, A. N., et al. (2019) · Nature · doi:10.1038/s41586-019-1671-8 · Cited by 846
Metadata
- Authors
- Strønen, E., Toebes, M., Kelderman, S., van Buuren, M. M., Yang, W., van Rooij, N., Donia, M., Böschen, M.-L., Lund-Johansen, F., Olweus, J., & Schumacher, T. N.
- Venue
- Science
- Published
- 2016-06-10
- Volume
- 352
- Issue
- 6291
- Pages
- 1337-1341
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2404396229
- Cited by
- 445
- References
- 41
- FWCI
- 34.32
- 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: Targeting of cancer neoantigens with donor-derived T cell receptor repertoires. https://app.cochat.ai/papers/10.1126/science.aaf2288
- The paper
- Strønen, E., Toebes, M., Kelderman, S., van Buuren, M. M., Yang, W., van Rooij, N., Donia, M., Böschen, M.-L., Lund-Johansen, F., Olweus, J., & Schumacher, T. N. (2016). Targeting of cancer neoantigens with donor-derived T cell receptor repertoires. Science. https://doi.org/10.1126/science.aaf2288
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.