ArticleJournal of Cancer2011
Human cancer classification: a systems biology- based model integrating morphology, cancer stem cells, proteomics, and genomics.
Article in Journal of Cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 63 citations in OpenAlex.
- Biomimetic Hydrogel Strategies for Cancer Therapy.Gels (Basel, Switzerland) · 2024Review
- Inorganic Nanoparticles as Radiosensitizers for Cancer Treatment.Nanomaterials (Basel, Switzerland) · 2023Review
- The most likely but largely ignored triggering factor for breast (or all) cancer invasion.Journal of Cancer · 2023Article
- General insight into cancer: An overview of colorectal cancer (Review).Molecular and clinical oncology · 2021Review
- The prognostic outcome of 'type 2 diabetes mellitus and breast cancer' association pivots on hypoxia-hyperglycemia axis.Cancer cell international · 2021Review
- Emerging indocyanine green-integrated nanocarriers for multimodal cancer therapy: a review.Nanoscale advances · 2021Review
- Emerging neo adjuvants for harnessing therapeutic potential of M1 tumor associated macrophages (TAM) against solid tumors: Enusage of plasticity.Annals of translational medicine · 2020Review
- Recent Advances in Polymer Nanomaterials for Drug Delivery of Adjuvants in Colorectal Cancer Treatment: A Scientific-Technological Analysis and Review.Molecules (Basel, Switzerland) · 2020Review
- A deep learning and similarity-based hierarchical clustering approach for pathological stage prediction of papillary renal cell carcinoma.Computational and structural biotechnology journal · 2020Article
- Umbrella and basket trials in oncology: ethical challenges.BMC medical ethics · 2019Article
- A unimolecular theranostic system with HRSC advances · 2018Article
- Array of translational systems pharmacodynamic models of anti-cancer drugs.Journal of pharmacokinetics and pharmacodynamics · 2016Review
- Classification of Cancer Primary Sites Using Machine Learning and Somatic Mutations.BioMed research international · 2015Article
- Cancer: we should not forget the past.Journal of Cancer · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human cancer classification is currently based on the idea of cell of origin, light and electron microscopic attributes of the cancer. What is not yet integrated into cancer classification are the functional attributes of these cancer cells. Recent innovative techniques in biology have provided a wealth of information on the genomic, transcriptomic and proteomic changes in cancer cells. The emergence of the concept of cancer stem cells needs to be included in a classification model to capture the known attributes of cancer stem cells and their potential contribution to treatment response, and metastases. The integrated model of cancer classification presented here incorporates all morphology, cancer stem cell contributions, genetic, and functional attributes of cancer. Integrated cancer classification models could eliminate the unclassifiable cancers as used in current classifications. Future cancer treatment may be advanced by using an integrated model of cancer classification.
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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.