The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Ovarian Low-grade and High-grade Serous Carcinoma: Pathogenesis, Clinicopathologic and Molecular Biologic Features, and Diagnostic Problems
Open accessAbstract
Ovarian serous carcinomas have been graded using various systems. Recently, a 2-tier system in which tumors are subdivided into low grade and high grade has been proposed. This approach is simplistic, reproducible, and based on biologic evidence indicating that both tumors develop via different pathways. Low-grade serous carcinomas exhibit low-grade nuclei with infrequent mitotic figures. They evolve from adenofibromas or borderline tumors, have frequent mutations of the KRAS, BRAF, or ERBB2 genes, and lack TP53 mutations (Type I pathway). The progression to invasive carcinoma is a slow step-wise process. Low-grade tumors are indolent and have better outcome than high-grade tumors. In contrast, high-grade serous carcinomas have high-grade nuclei and numerous mitotic figures. Identification of a precursor lesion in the ovary has been elusive and therefore the origin of ovarian carcinoma has been described as de novo. More recently, studies have suggested that a proportion seem to originate from intraepithelial carcinoma in the fallopian tube. The development of these tumors is rapid (Type II pathway). Most are characterized by TP53 mutations and lack mutations of KRAS, BRAF, or ERBB2. Although both types of serous carcinomas evolve along different pathways, rare high-grade serous carcinomas seem to arise through the Type I pathway. Immunohistochemical stains for p53, p16, and Ki-67 for distinction of low-grade from high-grade tumors are of limited value but can be helpful in selected instances. This review provides an update on the pathogenesis and clinicopathologic features of these 2 types of serous carcinomas and addresses some of the diagnostic problems that are encountered in routine practice.
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
Singer, G., Stöhr, R., Cope, L., Dehari, R., Hartmann, A., Cao, D.-F., Wang, T.-L., Kurman, R. J., & Shih, I.-M. (2005) · American Journal of Surgical Pathology · doi:10.1097/01.pas.0000146025.91953.8d · Cited by 408
Self-citation
Cited by
Ovarian cancer in the world: epidemiology and risk factors
Momenimovahed, Z., Tiznobaik, A., Taheri, S., & Salehiniya, H. (2019) · International Journal of Women's Health · doi:10.2147/ijwh.s197604 · Cited by 912
Driver mutations in TP53 are ubiquitous in high grade serous carcinoma of the ovary
Ahmed, A. A., Etemadmoghadam, D., Temple, J., Lynch, A. G., Riad, M., Sharma, R., Stewart, C., Fereday, S., Caldas, C., deFazio, A., et al. (2010) · The Journal of Pathology · doi:10.1002/path.2696 · Cited by 787
PARP inhibition elicits STING-dependent antitumor immunity in brca1-deficient ovarian cancer
Ding, L., Kim, H.-J., Wang, Q., Kearns, M., Jiang, T., Ohlson, C. E., Li, B. B., Xie, S., Liu, J. F., Stover, E. H., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.11.054 · Cited by 572
Invasive Epithelial Ovarian Cancer Survival by Histotype and Disease Stage
Peres, L. C., Cushing-Haugen, K. L., Köbel, M., Harris, H. R., Berchuck, A., Rossing, M. A., Schildkraut, J. M., & Doherty, J. A. (2019) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djy071 · Cited by 554
Wentzensen, N., Poole, E. M., Trabert, B., White, E., Arslan, A. A., Patel, A. V., Setiawan, V. W., Visvanathan, K., Weiderpass, E., Adami, H.-O., et al. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2016.66.8178 · Cited by 514
Metadata
- Authors
- Vang, R., Shih, I.-M., & Kurman, R. J.
- Venue
- Advances in Anatomic Pathology
- Published
- 2009-09
- Volume
- 16
- Issue
- 5
- Pages
- 267-282
- ISSN
- 1072-4109 (ISSN-L)
- OpenAlex
- W2053263835
- Cited by
- 562
- References
- 1
- FWCI
- 28.49
- 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: Ovarian Low-grade and High-grade Serous Carcinoma: Pathogenesis, Clinicopathologic and Molecular Biologic Features, and Diagnostic Problems. https://app.cochat.ai/papers/10.1097/pap.0b013e3181b4fffa
- The paper
- Vang, R., Shih, I.-M., & Kurman, R. J. (2009). Ovarian Low-grade and High-grade Serous Carcinoma: Pathogenesis, Clinicopathologic and Molecular Biologic Features, and Diagnostic Problems. Advances in Anatomic Pathology. https://doi.org/10.1097/pap.0b013e3181b4fffa
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.