ReviewTranslational research : the journal of laboratory and clinical medicine2018
Genotypic and phenotypic signatures to predict immune checkpoint blockade therapy response in patients with colorectal cancer.
Review in Translational research : the journal of laboratory and clinical medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- HMGCS2 serves as a potential biomarker for inhibition of renal clear cell carcinoma growth.Scientific reports · 2023Article
- TNTdetect.AI: A Deep Learning Model for Automated Detection and Counting of Tunneling Nanotubes in Microscopy Images.Cancers · 2022Article
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
Abstract
Immune checkpoint blockade therapy (ICBT) has resulted in extended overall survival for some patients with certain types of cancer, most prominently including colorectal cancer (CRC) associated with microsatellite instability (MSI). However, most patients with CRC whose phenotypes have microsatellite stability (MSS) are unresponsive to ICBT. In efforts to understand the responsiveness of CRC tumors to ICBT, genotypic and phenotypic signatures of CRC tumors are now being investigated. The MSI and MSS classification has been clinically validated as helpful in predicting response vs nonresponse to ICBT in patients with CRC. Other potential predictive markers include mutational and neoantigen loads, T-cell receptor diversity, and the immune score system, all of which have mechanistic connections to ICBT response. These novel predictive signatures could provide unprecedented insights into patients with CRC associated with MSS. Clinical trials or prospective cohort studies using standardized methodologies for biomarker quantification should be illuminating. Further validation of these novel predictive signatures will be essential to tailoring treatment of patients whose CRC is most likely to respond to ICBT.
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