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Bojungikki-Tang Enhances the Efficacy of Pembrolizumab Treatment in Human PBMC-Injected H460 Tumor-Bearing Mice

GSE260575 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/03/05 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 12 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
12 samples: 3 × Control vs 3 × Pemb vs 3 × BJIKT vs 3 × CombinedGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Bojungikki-Tang Augments Pembrolizumab Efficacy in Human PBMC-Injected H460 Tumor-Bearing MiceLife (Basel, Switzerland) · 2024
Summary (written by the submitters)
Immune checkpoint inhibitors (ICIs) have become a major treatment option for non-small cell lung cancer, but their efficacy is still limited because only a subset of patients responded to ICIs. Bojungikki-Tang (BJIKT), a widely used herbal medicine extracted from 10 medicinal plants, has been largely investigated as a combined treatment with anticancer agents.
Read the full summary ↓
In this study, we examined the potential anti-tumor effect of co-administration of BJIKT and pembrolizumab in human peripheral blood mononuclear cell (PBMC)-injected H460 tumor-bearing MHC Ⅰ/Ⅱ double knockout NSG mice. We found that combination treatment with BJIKT and pembrolizumab significantly suppressed tumor growth by regulating the activation of immune cells. Immunohistochemistry analysis showed that the combination therapy decreased the exhausted proportion of CD8(+) and CD4(+) T cells expressing PD-1 and LAG-3 markers in the tumor tissues. Our transcriptome analysis indicated that BJIKT strengthened T cell function and TNF signaling and inhibited TGF-β signaling to induce cell cycle arrest and apoptosis. Additionally, BJIKT synergistically exhibited anti-tumor effects along with immune-related pathways when combined with pembrolizumab. Taken together, combination therapy altered immune cells and regulated anti-tumor immune response, paving the way for a more effective understanding of the role of BJIKT in the tumor microenvironment.
Published in
Bojungikki-Tang Augments Pembrolizumab Efficacy in Human PBMC-Injected H460 Tumor-Bearing Mice
Na SW, Yi JM, Yeo H et al. · Life (Basel, Switzerland) 2024 · PMID 39459546 · doi:10.3390/life14101246
This dataset
Open GSE260575 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE260575_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1082260 and SRA study SRP492566. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39459546) ↗
Study design
3 × Control vs 3 × Pemb vs 3 × BJIKT vs 3 × Combined

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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