2022
DOI: 10.3724/abbs.2022145
|View full text |Cite
|
Sign up to set email alerts
|

An improved cell line-derived xenograft humanized mouse model for evaluation of PD-1/PD-L1 blocker BMS202-induced immune responses in colorectal cancer

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 43 publications
0
1
0
Order By: Relevance
“…Especially, the nature of poor conservation of intronic sequences and minimal overlap of mis-spliced transcripts between mice and humans ( Lieu et al, 2022 ) suggest that mice may be less useful in modeling patients with AS dysregulation. Last, it is complex and time-consuming to manipulate genes in mice by multigenerational hybridization, which may result in patients missing optimal treatment periods ( Shang et al, 2022 ; Stribbling and Ryan, 2022 ). Recent studies have shown that organoids are highly effective in disease modeling and are widely utilized for basic research, drug selection and personalized medicine, which may also benefit the splicing-targeted immunotherapies ( Drost and Clevers, 2018 ).…”
Section: Sectionmentioning
confidence: 99%
“…Especially, the nature of poor conservation of intronic sequences and minimal overlap of mis-spliced transcripts between mice and humans ( Lieu et al, 2022 ) suggest that mice may be less useful in modeling patients with AS dysregulation. Last, it is complex and time-consuming to manipulate genes in mice by multigenerational hybridization, which may result in patients missing optimal treatment periods ( Shang et al, 2022 ; Stribbling and Ryan, 2022 ). Recent studies have shown that organoids are highly effective in disease modeling and are widely utilized for basic research, drug selection and personalized medicine, which may also benefit the splicing-targeted immunotherapies ( Drost and Clevers, 2018 ).…”
Section: Sectionmentioning
confidence: 99%