ReviewLangenbeck's archives of surgery2015
Personalized treatment for colorectal cancer: novel developments and putative therapeutic strategies.
Review in Langenbeck's archives of surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Pigment Epithelial-Derived Factor in Pancreatic and Liver Cancers-From Inflammation to Cancer.Biomedicines · 2024Review
- Hsa_circRNA_002144 promotes growth and metastasis of colorectal cancer through regulating miR-615-5p/LARP1/mTOR pathway.Carcinogenesis · 2021Article
- Colorectal Cancer: From Genetic Landscape to Targeted Therapy.Journal of oncology · 2021Review
- In-Depth Characterization of Mass Spectrometry-Based Proteomic Profiles Revealed Novel Signature Proteins Associated with Liver Metastatic Colorectal Cancers.Analytical cellular pathology (Amsterdam) · 2019Article
- Strategy to targeting the immune resistance and novel therapy in colorectal cancer.Cancer medicine · 2018Review
- Overexpression of LARP1 predicts poor prognosis of colorectal cancer and is expected to be a potential therapeutic target.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Article
- Advances in targeted and immunobased therapies for colorectal cancer in the genomic era.OncoTargets and therapy · 2016Review
- Recombinant lentivirus with enhanced expression of caudal-related homeobox protein 2 inhibits human colorectal cancer cell proliferation in vitro.Molecular medicine reports · 2015Article
- Nuclear Factor Kappa B, Matrix Metalloproteinase-1, p53, and Ki-67 Expressions in the Primary Tumors and the Lymph Node Metastases of Colorectal Cancer Cases.Gastroenterology research and practice · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColorectal cancer (CRC) is the third most common cancer diagnosed worldwide and continues to be a major healthcare concern. Molecular heterogeneity of CRC is believed to be one of the main factors responsible for the considerable variability in treatment response. With the recent development of powerful genomic technologies, novel insights in tumor biology of CRC have now been provided, facilitating the recognition of new molecular subtypes with prognostic and predictive implications. PURPOSE: The purpose of this review article is to summarize current knowledge about genomic, epigenomic, and proteomic characteristics of CRC, as well as their implications for biomarker identification and individualized targeted therapy.
conclusionSupplementing the findings from several previous studies, the Cancer Genome Atlas (TCGA) project recently finalized the systematic characterization of CRC resulting in the first tumor dataset with complete molecular measurements at DNA, RNA, and protein levels. The challenge now is to translate these findings into a robust and reproducible CRC classification system linking molecular features of the tumor to precision medicine.
Indexed as
Identifiers
25701352What 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.