ArticleJournal of medical systems2012
LAS: a software platform to support oncological data management.
Article in Journal of medical systems, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed.
- Efficacy of dual KRASCell death & disease · 2026Article
- The Molecular and Functional Landscape of Resistance to FOLFIRI Chemotherapy in Metastatic Colorectal Cancer.Cancer discovery · 2026Article
- Integrative ensemble modelling of cetuximab sensitivity in colorectal cancer patient-derived xenografts.Nature communications · 2024Article
- XENTURION is a population-level multidimensional resource of xenografts and tumoroids from metastatic colorectal cancer patients.Nature communications · 2024Article
- CONNECTOR, fitting and clustering of longitudinal data to reveal a new risk stratification system.Bioinformatics (Oxford, England) · 2023Article
- Synthetic Lethal Interaction with BCL-XL Blockade Deepens Response to Cetuximab in Patient-Derived Models of Metastatic Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023Article
- Article
- Cancer of unknown primary stem-like cells model multi-organ metastasis and unveil liability to MEK inhibition.Nature communications · 2021Article
- Colorectal cancer residual disease at maximal response to EGFR blockade displays a druggable Paneth cell-like phenotype.Science translational medicine · 2020Article
- Article
- Combined blockade of MEK and PI3KCA as an effective antitumor strategy in HER2 gene amplified human colorectal cancer models.Journal of experimental & clinical cancer research : CR · 2019Article
- Article
- Semalytics: a semantic analytics platform for the exploration of distributed and heterogeneous cancer data in translational research.Database : the journal of biological databases and curation · 2019Article
- One tool to find them all: a case of data integration and querying in a distributed LIMS platform.Database : the journal of biological databases and curation · 2019Article
- Selective analysis of cancer-cell intrinsic transcriptional traits defines novel clinically relevant subtypes of colorectal cancer.Nature communications · 2017Article
- Interrogating open issues in cancer precision medicine with patient-derived xenografts.Nature reviews. Cancer · 2017Review
- Xenopatients show the need for precision medicine approach to chemotherapy in ovarian cancer.Oncotarget · 2016Article
- MET inhibition overcomes radiation resistance of glioblastoma stem-like cells.EMBO molecular medicine · 2016Article
- Article
- HER2 activating mutations are targets for colorectal cancer treatment.Cancer discovery · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid technological evolution in the biomedical and molecular oncology fields is providing research laboratories with huge amounts of complex and heterogeneous data. Automated systems are needed to manage and analyze this knowledge, allowing the discovery of new information related to tumors and the improvement of medical treatments. This paper presents the Laboratory Assistant Suite (LAS), a software platform with a modular architecture designed to assist researchers throughout diverse laboratory activities. The LAS supports the management and the integration of heterogeneous biomedical data, and provides graphical tools to build complex analyses on integrated data. Furthermore, the LAS interfaces are designed to ease data collection and management even in hostile environments (e.g., in sterile conditions), so as to improve data quality.
Indexed as
Identifiers
23117791What 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.