Trial reportBritish journal of cancer1998
Therapy effect of either paclitaxel or cyclophosphamide combination treatment in patients with epithelial ovarian cancer and relation to TP53 gene status.
Trial report in British journal of cancer, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 56 citations in OpenAlex.
- Trial
- p19(INK4d) mRNA and protein expression as new prognostic factors in ovarian cancer patients.Cancer biology & therapy · 2013Article
- The consequence of oncomorphic TP53 mutations in ovarian cancer.International journal of molecular sciences · 2013Review
- Nuclear survivin expression is a positive prognostic factor in taxane-platinum-treated ovarian cancer patients.Journal of ovarian research · 2011Article
- TP53 status and taxane-platinum versus platinum-based therapy in ovarian cancer patients: a non-randomized retrospective study.BMC cancer · 2008Article
- TP53 mutations in ovarian carcinomas from sporadic cases and carriers of two distinct BRCA1 founder mutations; relation to age at diagnosis and survival.BMC cancer · 2005Article
- TP53 mutations in early-stage ovarian carcinoma, relation to long-term survival.British journal of cancer · 2004Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell death after treatment with chemotherapy is exerted by activation of apoptosis, and the p53 protein has been shown to actively participate in this process. This recent focus on TP53 status as a possible determinant of cancer therapy response has raised the question of whether or not mutations in the TP53 gene have an influence on paclitaxel therapy. The TP53 status has been analysed at the DNA level in tumours from 45 ovarian cancer patients randomized to treatment with paclitaxel and cisplatin or cyclophosphamide and cisplatin. Therapy response was obtained for 38 patients with clinically evaluable disease after initial surgery. The positive response rate to the paclitaxel/cisplatin therapy was 85% vs 61% for the patients who received the cyclophosphamide/cisplatin regimen. A significant difference in relapse-free survival in favour of paclitaxel/cisplatin chemotherapy was found (P = 0.001). A total of 33 tumour samples (73%) had detectable sequence alterations in the TP53 gene. When relapse-free survival was estimated for all patients with TP53 alterations in their tumours, a significant better outcome for the paclitaxel/cisplatin group was found compared with the patient group receiving cyclophosphamide and cisplatin therapy (P = 0.002). We did not observe an association between TP53 tumour status and prognosis for patients who received paclitaxel/cisplatin combination treatment, indicating that the effect of this therapy is not influenced by this parameter.
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.