ReviewCancers2019
Enriching Personalized Endometrial Cancer Research with the Harmonization of Biobanking Standards.
Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Methodological Pitfalls in Endometriosis Biospecimen Research: Lessons From MAP4K4 Expression Studies.FASEB bioAdvances · 2026Article
- Unlocking personalized endometrial cancer treatment: the critical role of the BBIRE biobank in sample collection and distribution.Frontiers in molecular biosciences · 2026Article
- Developing cancer biobanks in Romania: understanding the knowledge and recommendations in assessing a clinical dataset for biospecimens.Medicine and pharmacy reports · 2023Article
- Article
- Telomere and Telomerase-Associated Proteins in Endometrial Carcinogenesis and Cancer-Associated Survival.International journal of molecular sciences · 2022Article
- DLC1 Is a Prognosis-Related Biomarker Correlated With Tumor Microenvironment Remodeling in Endometrial Carcinoma.Frontiers in oncology · 2022Article
- The effect of pre-analytical variables on downstream application and data analysis of human endometrial biopsies.Human reproduction open · 2022Article
- Article
- Real-World Evaluation of Modern Adjuvant Radiotherapy in Women with Stage IB Endometrial Cancer.Cancers · 2021Article
- Article
- Endometrial cancer-is our knowledge changing?Translational cancer research · 2020Review
- Developing a Preoperative Algorithm for the Diagnosis of Uterine Leiomyosarcoma.Diagnostics (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Endometrial cancer is the commonest gynecological cancer, with an incidence predicted to escalate by a further 50-100% before 2025, due to the rapid rise in risk factors such as obesity and increased life expectancy. Endometrial cancer associated mortality is also rising, depicting the need for translatable research to improve our understanding of the disease. Rapid translation of scientific discoveries will facilitate the development of new diagnostic, prognostic and therapeutic strategies. Biobanks play a vital role in providing biospecimens with accompanying clinical data for personalized translational research. Wide variation in collection, and pre-analytic variations in processing and storage of bio-specimens result in divergent and irreproducible data from multiple studies that are unsuitable for collation to formulate robust conclusions. Harmonization of biobanking standards is thus vital, in facilitating international multi-center collaborative studies with valuable outcomes to improve personalized treatments. This review will detail the pitfalls in the biobanking of biosamples from women with cancer in general, and describe the recent international harmonization project that developed standardized research tools to overcome these challenges and to enhance endometrial cancer research, which will facilitate future development of personalized novel diagnostic strategies and treatments.
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.