ReviewBritish journal of cancer1995
The genetic analysis of ovarian cancer.
Review in British journal of cancer, 1995. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed.
- Characterization of RNF144B and PPP2R2A identified by a novel approach using TCGA data in ovarian cancer.Scientific reports · 2025Article
- Review
- Review
- Exploiting MEK inhibitor-mediated activation of ERα for therapeutic intervention in ER-positive ovarian carcinoma.PloS one · 2013Article
- Genomic aberrations in borderline ovarian tumors.Journal of translational medicine · 2010Article
- The role of p53 as a surrogate marker for chemotherapeutical responsiveness in ovarian cancer.Journal of cancer research and clinical oncology · 2010Article
- Chemotherapy drug response in ovarian cancer cells strictly depends on a cathepsin D-Bax activation loop.Journal of cellular and molecular medicine · 2009Article
- Pathogenesis of ovarian cancer: lessons from morphology and molecular biology and their clinical implications.International journal of gynecological pathology : official journal of the International Society of Gynecological Pathologists · 2008Review
- Early detection and treatment of ovarian cancer: shifting from early stage to minimal volume of disease based on a new model of carcinogenesis.American journal of obstetrics and gynecology · 2008Review
- RPS6KA2, a putative tumour suppressor gene at 6q27 in sporadic epithelial ovarian cancer.Oncogene · 2007Article
- Reduced expression of chemokine (C-C motif) ligand-2 (CCL2) in ovarian adenocarcinoma.British journal of cancer · 2005Article
- Article
- Ovarian tumorigenesis: a proposed model based on morphological and molecular genetic analysis.The American journal of pathology · 2004Review
- Analysis of the candidate 8p21 tumour suppressor, BNIP3L, in breast and ovarian cancer.British journal of cancer · 2003Article
- The human homologue of unc-93 maps to chromosome 6q27 - characterisation and analysis in sporadic epithelial ovarian cancer.BMC genetics · 2002Article
- Molecular evidence for putative tumour suppressor genes on chromosome 13q specific to BRCA1 related ovarian and fallopian tube cancer.Molecular pathology : MP · 2002Article
- Article
- Reduced expression of BAX is associated with poor prognosis in patients with epithelial ovarian cancer: a multifactorial analysis of TP53, p21, BAX and BCL-2.British journal of cancer · 2001Article
- Decreased expression of the Id3 gene at 1p36.1 in ovarian adenocarcinomas.British journal of cancer · 2001Article
- Frequent loss of heterozygosity at 1p36 in ovarian adenocarcinomas but the gene encoding p73 is unlikely to be the target.Oncogene · 1999Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.