Evidence map›Paper›PMID 38768113›Full record

ArticlePloS one2024

An NGS-based assay for accurate detection and quantification of immune gene expression in mouse tumor models.

Jia Xue, Xiaobo Chen, Xiaoyu An, Jingjing Wang, Mingfa Zang, Binchen Mao, Sheng Guo, Tao Yang, Rajendra Kumari, Qi-Xiang Li

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jia XueCrown Bioscience, Inc., San Diego, California, United States of America.ORCID 0000-0002-8048-752X
Xiaobo ChenCrown Bioscience, Inc., San Diego, California, United States of America.
Xiaoyu AnCrown Bioscience, Inc., San Diego, California, United States of America.
Jingjing WangCrown Bioscience, Inc., San Diego, California, United States of America.
Mingfa ZangCrown Bioscience, Inc., San Diego, California, United States of America.
Binchen MaoCrown Bioscience, Inc., San Diego, California, United States of America.
Sheng GuoCrown Bioscience, Inc., San Diego, California, United States of America.
Tao YangCrown Bioscience, Inc., San Diego, California, United States of America.
Rajendra KumariCrown Bioscience, Inc., San Diego, California, United States of America.
Qi-Xiang LiCrown Bioscience, Inc., San Diego, California, United States of America.ORCID 0000-0002-4673-1234

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor microenvironment (TME) is a complex dynamic system with many tumor-interacting components including tumor-infiltrating leukocytes (TILs), cancer associated fibroblasts, blood vessels, and other stromal constituents. It intrinsically affects tumor development and pharmacology of oncology therapeutics, particularly immune-oncology (IO) treatments. Accurate measurement of TME is therefore of great importance for understanding the tumor immunity, identifying IO treatment mechanisms, developing predictive biomarkers, and ultimately, improving the treatment of cancer. Here, we introduce a mouse-IO NGS-based (NGSmIO) assay for accurately detecting and quantifying the mRNA expression of 1080 TME related genes in mouse tumor models. The NGSmIO panel was shown to be superior to the commonly used microarray approach by hosting 300 more relevant genes to better characterize various lineage of immune cells, exhibits improved mRNA and protein expression correlation to flow cytometry, shows stronger correlation with mRNA expression than RNAseq with 10x higher sequencing depth, and demonstrates higher sensitivity in measuring low-expressed genes. We describe two studies; firstly, detecting the pharmacodynamic change of interferon-γ expression levels upon anti-PD-1: anti-CD4 combination treatment in MC38 and Hepa 1-6 tumors; and secondly, benchmarking baseline TILs in 14 syngeneic tumors using transcript level expression of lineage specific genes, which demonstrate effective and robust applications of the NGSmIO panel.

Indexed as

High-Throughput Nucleotide SequencingTumor MicroenvironmentAnimalsCell Line, TumorDisease Models, AnimalFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticInterferon-gammaLymphocytes, Tumor-InfiltratingMiceMice, Inbred C57BLNeoplasmsProgrammed Cell Death 1 ReceptorRNA, MessengerInterferon-gammaPdcd1 protein, mouseProgrammed Cell Death 1 ReceptorRNA, Messenger

Identifiers

PMID38768113
PMCPMC11104603

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LicenceCC BY
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Registered trials

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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.