Patient-derived organoid xenografts reveal the multifaceted role of the lncRNA MALAT1 in breast cancer progression

preprint OA: closed
Full text JSON View at publisher

Abstract

Long non-coding RNAs (lncRNAs) have emerged as key regulators of tumor biology, however, thus far none have translated to cancer therapies. The lncRNA MALAT1 is overexpressed in more than 20 cancers, including breast cancer and has been shown to function via various mechanisms in a context-dependent manner, in 2D cell lines and mouse models. However, its functional role and therapeutic potential have not been evaluated in clinically relevant patient-derived models. We investigated the therapeutic potential of MALAT1- targeting antisense oligonucleotides (ASOs) for breast cancer, using clinically relevant 3D human patient-derived organoids (PDOs) and PDO-xenograft (PDO-X) models. We systematically evaluated the efficiency of MALAT1 -targeting ASOs using a biobank of 28 PDO models. Across three independent PDO-X models of triple negative breast cancer (TNBC), MALAT1 depletion reproducibly drove widespread alternative splicing changes across all event types, with an enrichment of intron retention. Differentially spliced transcripts were enriched for targets of shared cancer-associated transcription factors, and MALAT1 knockdown specifically altered the relative abundance of previously unannotated splicing isoforms. Beyond tumor-intrinsic effects, tumor-specific MALAT1 depletion induced a consistent reduction in macrophage-associated gene signatures and reduced lung metastatic burden. Our data defines MALAT1 ’s multifaceted role in TNBC, coordinating alternative splicing, tumor-stroma crosstalk, and metastatic progression. Our study provides strong preclinical evidence supporting MALAT1 -targeted ASO therapy and establishes PDO-X models as a clinically relevant platform for functional interrogation of TNBC therapies. Significance Using clinically relevant human PDO-X models, we show that MALAT1 influences alternative splicing, metastatic potential and the tumor microenvironment. These data support the potential of oncogenic lncRNA MALAT1 as a therapeutic target.
Full text 3,776 characters · extracted from oa-doi-fallback · click to expand
Abstract Long non-coding RNAs (lncRNAs) have emerged as key regulators of tumor biology, however, thus far none have translated to cancer therapies. The lncRNA MALAT1 is overexpressed in more than 20 cancers, including breast cancer and has been shown to function via various mechanisms in a context-dependent manner, in 2D cell lines and mouse models. However, its functional role and therapeutic potential have not been evaluated in clinically relevant patient-derived models. We investigated the therapeutic potential of MALAT1-targeting antisense oligonucleotides (ASOs) for breast cancer, using clinically relevant 3D human patient-derived organoids (PDOs) and PDO-xenograft (PDO-X) models. We systematically evaluated the efficiency of MALAT1-targeting ASOs using a biobank of 28 PDO models. Across three independent PDO-X models of triple negative breast cancer (TNBC), MALAT1 depletion reproducibly drove widespread alternative splicing changes across all event types, with an enrichment of intron retention. Differentially spliced transcripts were enriched for targets of shared cancer-associated transcription factors, and MALAT1 knockdown specifically altered the relative abundance of previously unannotated splicing isoforms. Beyond tumor-intrinsic effects, tumor-specific MALAT1 depletion induced a consistent reduction in macrophage-associated gene signatures and reduced lung metastatic burden. Our data defines MALAT1’s multifaceted role in TNBC, coordinating alternative splicing, tumor-stroma crosstalk, and metastatic progression. Our study provides strong preclinical evidence supporting MALAT1-targeted ASO therapy and establishes PDO-X models as a clinically relevant platform for functional interrogation of TNBC therapies. Significance Using clinically relevant human PDO-X models, we show that MALAT1 influences alternative splicing, metastatic potential and the tumor microenvironment. These data support the potential of oncogenic lncRNA MALAT1 as a therapeutic target. Competing Interest Statement The authors have declared no competing interest. Footnotes The authors declare no conflicts of interest. Various changes have been made throughout the manuscript. Abbreviations - AA - alternative acceptor - AD - alternative donor - ACME - Affinity-based Cas9-Mediated Enrichment - AS - Alternative splicing - ASO - antisense oligonucleotide - BC - breast cancer - BSA - bovine serum albumin - CA - cassette exon - cEt - 2’-constrained ethyl - CNV - copy number variation - DEG - differentially expressed gene - dPSI - delta percent spliced in - ER - estrogen receptor - FDA - Food & Drug Administration - FFPE - formalin-fixed paraffin-embedded - H&E - hematoxylin and eosin - HMW - high molecular weight - IDC - invasive ductal carcinoma - IHC - immunohistochemistry - ILC - invasive lobular carcinoma - IR - Intron retention - ITH - intratumor heterogeneity - KD - knockdown - lncRNA - long non-coding RNA - MALAT1 - Metastasis Associated Lung Adenocarcinoma Transcript 1 - MHC-I - Major Histocompatibility Complex class I NeoAgs – Neoantigens - ONT - Oxford Nanopore Technologies - PCA - principal component analysis - PDO - Patient-Derived Organoid - PDO-X - Patient-Derived Organoid Xenograft - PDX - Patient-Derived Xenograft - PR - progesterone receptor - PS - phosphorothioate - qRT-PCR - quantitative real-time polymerase chain reaction - RI - retained introns - RNA - ribonucleic acid - RNA-seq - RNA sequencing - RT - reverse transcriptase - ScASO - Scramble ASO - smRNA-FISH - single-molecule RNA fluorescence in situ hybridization - SNVs - single nucleotide variants - SVs - structural variants - TEM - Transmission Electron Microscopy - TFs - transcription factors - TNBC - triple negative breast cancer - TPM - transcripts per million

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00