The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Personalised cancer medicine
Abstract
The evolving field of personalised medicine is playing an increasingly important role in cancer prevention, diagnosis, prognosis and therapeutics. Its importance in clinical management is demonstrated by the recent introduction into routine clinical practice of various individualised, molecularly targeted therapies with increased efficacy and/or reduced toxicity. The identification of cancer predisposition genes, such as the BRCA genes in breast cancer, permits screening programmes to identify patients “at‐risk” of developing cancer and helps them make decisions on individual risk‐modification behaviours. Personalised medicine also plays an increasingly important role in cancer treatment. It is increasingly clear that there are molecularly distinct subtypes of various common cancers, with different therapeutic approaches required for each subtype, for example, the use of the monoclonal antibodies (trastuzumab and cetuximab) in HER2‐positive breast cancer and wild‐type KRAS colorectal cancer; tyrosine kinase inhibitors (imatinib, gefitinib, erlotinib and crizotinib) in chronic myeloid leukaemia, gastrointestinal stromal tumours and non‐small‐cell lung cancer and intracellular agents (vemurafenib and olaparib) in metastatic malignant melanoma and ovarian, breast and prostate cancer. The efficacy of various targeted therapies in such disparate tumours suggests that we are entering an era in which treatment decisions will be based on tumour molecular abnormality profile or “signature,” rather than tumour tissue type or anatomical site of origin, improving patient prognosis and quality of life. This mini review focuses on the role of personalised medicine in cancer prevention and treatment as well as its future direction in oncology.
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
Gefitinib or Carboplatin–Paclitaxel in Pulmonary Adenocarcinoma
Mok, T. S., Wu, Y.-L., Thongprasert, S., Yang, C.-H., Chu, D.-T., Saijo, N., Sunpaweravong, P., Han, B., Margono, B., Ichinose, Y., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0810699 · Cited by 8,261
Improved survival with vemurafenib in melanoma with BRAF V600E mutation
Chapman, P. B., Hauschild, A., Robert, C., Haanen, J. B., Ascierto, P., Larkin, J., Dummer, R., Garbe, C., Testori, A., Maio, M., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1103782 · Cited by 7,720
Rosell, R., Carcereny, E., Gervais, R., Vergnenegre, A., Massuti, B., Felip, E., Palmero, R., Garcia-Gomez, R., Pallares, C., Sanchez, J. M., et al. (2012) · The Lancet Oncology · doi:10.1016/s1470-2045(11)70393-x · Cited by 5,489
Erlotinib in Previously Treated Non–Small-Cell Lung Cancer
Shepherd, F. A., Rodrigues Pereira, J., Ciuleanu, T., Tan, E. H., Hirsh, V., Thongprasert, S., Campos, D., Maoleekoonpiroj, S., Smylie, M., Martins, R., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa050753 · Cited by 5,419
Druker, B. J., Talpaz, M., Resta, D. J., Peng, B., Buchdunger, E., Ford, J. M., Lydon, N. B., Kantarjian, H., Capdeville, R., Ohno-Jones, S., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200104053441401 · Cited by 5,243
Mitsudomi, T., Morita, S., Yatabe, Y., Negoro, S., Okamoto, I., Tsurutani, J., Seto, T., Satouchi, M., Tada, H., Hirashima, T., et al. (2010) · The Lancet Oncology · doi:10.1016/s1470-2045(09)70364-x · Cited by 4,090
Inhibition of Poly(ADP-Ribose) Polymerase in Tumors from BRCA Mutation Carriers
Fong, P. C., Boss, D. S., Yap, T. A., Tutt, A., Wu, P., Mergui-Roelvink, M., Mortimer, P., Swaisland, H., Lau, A., O'Connor, M. J., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0900212 · Cited by 3,634
K-ras Mutations and Benefit from Cetuximab in Advanced Colorectal Cancer
Karapetis, C. S., Khambata-Ford, S., Jonker, D. J., O'Callaghan, C. J., Tu, D., Tebbutt, N. C., Simes, R. J., Chalchal, H., Shapiro, J. D., Robitaille, S., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0804385 · Cited by 3,622
Crizotinib versus Chemotherapy in Advanced ALK -Positive Lung Cancer
Shaw, A. T., Kim, D.-W., Nakagawa, K., Seto, T., Crinó, L., Ahn, M.-J., De Pas, T., Besse, B., Solomon, B. J., Blackhall, F., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1214886 · Cited by 3,381
Principles and Practice of Screening for Disease.
(1968) · Annals of Internal Medicine · doi:10.7326/0003-4819-69-5-1085_2 · Cited by 3,066
Cited by
DNA repair pathways underlie a common genetic mechanism modulating onset in polyglutamine diseases
Bettencourt, C., Hensman‐Moss, D., Flower, M., Wiethoff, S., Brice, A., Goizet, C., Stevanin, G., Koutsis, G., Karadima, G., Panas, M., et al. (2016) · Annals of Neurology · doi:10.1002/ana.24656 · Cited by 227
The obesity paradox in cancer-moving beyond BMI
Strulov Shachar, S., & Williams, G. R. (2017) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-16-0439 · Cited by 198
HCI for health and wellbeing: Challenges and opportunities
Blandford, A. (2019) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2019.06.007 · Cited by 152
Ahmed, M. K., Rozario, E., Mohonta, S. C., Ferdousmou, J., Saimon, A. S. M., Moniruzzaman, M., Manik, M. M. T. G., & Hasan, R. (2025) · Journal of Engineering · doi:10.1155/je/9928467 · Cited by 10
Metadata
- Authors
- Jackson, S. E., & Chester, J. D.
- Venue
- International Journal of Cancer
- Publisher
- Wiley
- Published
- 2014-05-12
- Volume
- 137
- Issue
- 2
- Pages
- 262-266
- ISSN
- 0020-7136 (ISSN-L)
- 1097-0215
- OpenAlex
- W2169322031
- Cited by
- 369
- References
- 38
- FWCI
- 6.41
- 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: Personalised cancer medicine. https://app.cochat.ai/papers/10.1002/ijc.28940
- The paper
- Jackson, S. E., & Chester, J. D. (2015). Personalised cancer medicine. International Journal of Cancer. https://doi.org/10.1002/ijc.28940
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.
