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ISL1: A Novel Neuroendocrine Subtype in Small Cell Lung Cancer Predicts Durable Response to Lurbinectedin

GSE303770 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2026/01/22 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 24 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)
Topic
Small cell lung cancerThis series is part of our curated briefing on it.
Samples
24 samples: 8 conditions, mostly in triplicateGroups 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
ISL1: A Novel Neuroendocrine Subtype in Small Cell Lung Cancer Predicts Durable Response to LurbinectedinMolecular cancer therapeutics · 2026
Summary (written by the submitters)
Small cell lung cancer (SCLC) is a recalcitrant thoracic malignancy known for acquired chemoresistance, early metastatic spread, and poor overall survival. Treatment with lurbinectedin, a DNA minor groove alkylating agent, provides durable efficacy in a subset of patients. In this study, we aim to identify and validate predictive biomarkers to lurbinectedin in small cell lung cancer patients.
Read the full summary ↓
Within the ISL1 “high” lines, 1,105 genes were uniquely downregulated following lurbinectedin, including ISL1, RBMS3, PARD3B, SIX1, SOX2-OT, AURKA, and ASCL1. Downregulation of select MYC paralogs was additionally observed in the ISL1 “high” lines. Over 1,100 genes were additionally identified to be uniquely upregulated in the ISL1 “high” lines, including ATF3, BEST1, and DDIT3. ISL1 “low” lines showed significantly fewer unique expression changes following lurbinectedin (35 downregulated, 25 upregulated). Regardless of ISL1 status, 83 genes were globally downregulated, including LSAMP and MACROD2, while only 14 genes were globally upregulated following lurbinectedin, including TONSL, CDT1, and CHTF18.
Published in
ISL1: A Novel Neuroendocrine Subtype in Small Cell Lung Cancer Predicts Durable Response to Lurbinectedin
Shields MD, Minton KG, Ozakinci H et al. · Molecular cancer therapeutics 2026 · PMID 41582485 · doi:10.1158/1535-7163.MCT-25-0663
This dataset
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.

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 GSE303770_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1294959 and SRA study SRP603452. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly in triplicate
H187 DMSO ×3 H187 Lurbi ×3 H209 DMSO ×3 H209 Lurbi ×3 H82 DMSO ×3 H82 Lurbi ×3 SHP-77 DMSO ×3 SHP-77 Lurbi ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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
More Small cell lung cancer datasets

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