The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Circulating tumour DNA methylation markers for diagnosis and prognosis of hepatocellular carcinoma
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
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
limma: Linear Models for Microarray Data
Smyth, G. K. (2005) · Statistics for Biology and Health · doi:10.1007/0-387-29362-0_23 · Cited by 5,796
Genome-wide methylation profiles reveal quantitative views of human aging rates
Hannum, G., Guinney, J., Zhao, L., Zhang, L., Hughes, G., Sadda, S., Klotzle, B., Bibikova, M., Fan, J.-B., Gao, Y., et al. (2013) · Molecular Cell · doi:10.1016/j.molcel.2012.10.016 · Cited by 4,270
Self-citationA decade of exploring the cancer epigenome—biological and translational implications
Baylin, S. B., & Jones, P. A. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3130 · Cited by 2,871
An ultrasensitive method for quantitating circulating tumor DNA with broad patient coverage
Newman, A. M., Bratman, S. V., To, J., Wynne, J. F., Eclov, N. C. W., Modlin, L. A., Liu, C. L., Neal, J. W., Wakelee, H. A., Merritt, R. E., et al. (2014) · Nature Medicine · doi:10.1038/nm.3519 · Cited by 2,220
Analysis of Circulating Tumor DNA to Monitor Metastatic Breast Cancer
Dawson, S.-J., Tsui, D. W. Y., Murtaza, M., Biggs, H., Rueda, O. M., Chin, S.-F., Dunning, M. J., Gale, D., Forshew, T., Mahler-Araujo, B., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1213261 · Cited by 2,207
Emergence of KRAS mutations and acquired resistance to anti-EGFR therapy in colorectal cancer
Misale, S., Yaeger, R., Hobor, S., Scala, E., Janakiraman, M., Liska, D., Valtorta, E., Schiavo, R., Buscarino, M., Siravegna, G., et al. (2012) · Nature · doi:10.1038/nature11156 · Cited by 1,889
The molecular evolution of acquired resistance to targeted EGFR blockade in colorectal cancers
Diaz Jr, L. A., Williams, R. T., Wu, J., Kinde, I., Hecht, J. R., Berlin, J., Allen, B., Bozic, I., Reiter, J. G., Nowak, M. A., et al. (2012) · Nature · doi:10.1038/nature11219 · Cited by 1,713
Cited by
Llovet, J. M., Kelley, R. K., Villanueva, A., Singal, A. G., Pikarsky, E., Roayaie, S., Lencioni, R., Koike, K., Zucman-Rossi, J., & Finn, R. S. (2021) · Nature Reviews Disease Primers · doi:10.1038/s41572-020-00240-3 · Cited by 7,055
From NASH to HCC: current concepts and future challenges
Anstee, Q. M., Reeves, H. L., Kotsiliti, E., Govaere, O., & Heikenwalder, M. (2019) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-019-0145-7 · Cited by 1,392
The emerging role of cell-free DNA as a molecular marker for cancer management
Bronkhorst, A. J., Ungerer, V., & Holdenrieder, S. (2019) · Biomolecular Detection and Quantification · doi:10.1016/j.bdq.2019.100087 · Cited by 566
The Role of Angiogenesis in Hepatocellular Carcinoma
Morse, M. A., Sun, W., Kim, R., He, A. R., Abada, P. B., Mynderse, M., & Finn, R. S. (2019) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-1254 · Cited by 533
Advances in the Early Diagnosis of Hepatocellular Carcinoma
Wang, W., & Wei, C. (2020) · Genes & Diseases · doi:10.1016/j.gendis.2020.01.014 · Cited by 492
Self-citation
Metadata
- Authors
- Xu, R.-H., Wei, W., Krawczyk, M., Wang, W., Luo, H., Flagg, K., Yi, S., Shi, W., Quan, Q., Li, K., Zheng, L., Zhang, H., Caughey, B. A., Zhao, Q., Hou, J., Zhang, R., Xu, Y., Cai, H., Li, G., Hou, R., Zhong, Z., Lin, D., Fu, X., Zhu, J., Duan, Y., Yu, M., Ying, B., Zhang, W., Wang, J., Zhang, E., Zhang, C., Li, O., Guo, R., Carter, H., Zhu, J.-K., Hao, X., & Zhang, K.
- Venue
- Nature Materials
- Published
- 2017-10-09
- Volume
- 16
- Issue
- 11
- Pages
- 1155-1161
- ISSN
- 1476-1122 (ISSN-L)
- 1476-4660
- OpenAlex
- W2764195238
- Cited by
- 862
- References
- 8
- FWCI
- 19.49
- 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: Circulating tumour DNA methylation markers for diagnosis and prognosis of hepatocellular carcinoma. https://app.cochat.ai/papers/10.1038/nmat4997
- The paper
- Xu, R.-H., Wei, W., Krawczyk, M., Wang, W., Luo, H., Flagg, K., Yi, S., Shi, W., Quan, Q., Li, K., Zheng, L., Zhang, H., Caughey, B. A., Zhao, Q., Hou, J., Zhang, R., Xu, Y., Cai, H., Li, G., . . . Zhang, K. (2017). Circulating tumour DNA methylation markers for diagnosis and prognosis of hepatocellular carcinoma. Nature Materials. https://doi.org/10.1038/nmat4997
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.