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Organoid profiling identifies common responders to chemotherapy in pancreatic cancer

Hervé Tiriac, +73 more
- 31 May 2018 - 
- Vol. 8, Iss: 9, pp 1112-1129
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TLDR
A pancreatic cancer patient-derived organoid (PDO) library is generated that recapitulates the mutational spectrum and transcriptional subtypes of primary Pancreatic cancer and proposes that combined molecular and therapeutic profiling of PDOs may predict clinical response and enable prospective therapeutic selection.
Abstract
Pancreatic cancer is the most lethal common solid malignancy. Systemic therapies are often ineffective and predictive biomarkers to guide treatment are urgently needed. We generated a pancreatic cancer patient-derived organoid (PDO) library that recapitulates the mutational spectrum and transcriptional subtypes of primary pancreatic cancer. New driver oncogenes were nominated and transcriptomic analyses revealed unique clusters. PDOs exhibited heterogeneous responses to standard-of-care chemotherapeutics and investigational agents. In a case study manner, we find that PDO therapeutic profiles paralleled patient outcomes and that PDOs enable longitudinal assessment of chemo-sensitivity and evaluation of synchronous metastases. We derived organoid-based gene expression signatures of chemo-sensitivity that predicted improved responses for many patients to chemotherapy in both the adjuvant and advanced disease settings. Finally, we nominated alternative treatment strategies for chemo-refractory PDOs using targeted agent therapeutic profiling. We propose that combined molecular and therapeutic profiling of PDOs may predict clinical response and enable prospective therapeutic selection.

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Citations
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Journal ArticleDOI

Cancer modeling meets human organoid technology.

TL;DR: Emerging evidence indicates that organoids can be used to accurately predict drug responses in a personalized treatment setting, and the current state and future prospects of the rapidly evolving tumor organoid field are reviewed.
Journal ArticleDOI

Optimizing the outcomes of pancreatic cancer surgery

TL;DR: The safety and efficacy of pancreatic cancer surgery have improved considerably in the past decade, enabling perioperative mortality of around 3% and 5-year survival approaching 30–40% after resection and chemotherapy.
Journal ArticleDOI

Stem cell fate in cancer growth, progression and therapy resistance

TL;DR: Evidence showing that activation of stem cell programmes in cancers can lead to progression, therapy resistance and metastatic growth and that targeting these attributes may enable better control over a difficult disease is considered.
References
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Journal ArticleDOI

Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

TL;DR: This work presents DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates, which enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression.
Journal ArticleDOI

Fast and accurate short read alignment with Burrows–Wheeler transform

TL;DR: Burrows-Wheeler Alignment tool (BWA) is implemented, a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps.
Journal ArticleDOI

Trimmomatic: a flexible trimmer for Illumina sequence data

TL;DR: Timmomatic is developed as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data and is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested.
Journal ArticleDOI

STAR: ultrafast universal RNA-seq aligner

TL;DR: The Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure outperforms other aligners by a factor of >50 in mapping speed.
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