ArticleCell chemical biology2017
How Cancer Cells Become Resistant to Cationic Lytic Peptides: It's the Sugar!
Article in Cell chemical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Are peptides a solution for the treatment of hyperactivated JAK3 pathways?Inflammopharmacology · 2019Review
Corrections and comments
- Comment on
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this issue of Cell Chemical Biology, Ishikawa et al. (2017) demonstrate that the loss of cell-surface anionic saccharides can impart resistance toward anticancer peptides. This study provides the first insight into potential resistance mechanisms toward cationic lytic peptides and highlights the important, yet previously unappreciated, role cell-surface glycans can play in cellular resistance mechanisms.
Indexed as
Identifiers
28212754What 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.