Organoids are microscopic self-organizing, three-dimensional structures that are grown from stem cells in vitro. They recapitulate many structural and functional aspects of their in vivo counterpart organs. This versatile technology has led to the development of many novel human cancer models. It is now possible to create indefinitely expanding organoids starting from tumor tissue of individuals suffering from a range of carcinomas. Alternatively, CRISPR-based gene modification allows the engineering of organoid models of cancer through the introduction of any combination of cancer gene alterations to normal organoids. When combined with immune cells and fibroblasts, tumor organoids become models for the cancer microenvironment enabling immune-oncology applications. Emerging evidence indicates that organoids can be used to accurately predict drug responses in a personalized treatment setting. Here, we review the current state and future prospects of the rapidly evolving tumor organoid field.

Cancer modeling meets human organoid technology.

Pancreatic cancer is likely to become the second most frequent cause of cancer-associated mortality within the next decade. Surgical resection with adjuvant systemic chemotherapy currently provides the only chance of long-term survival. However, only 10-20% of patients with pancreatic cancer are diagnosed with localized, surgically resectable disease. The majority of patients present with metastatic disease and are not candidates for surgery, while surgery remains underused even in those with resectable disease owing to historical concerns regarding safety and efficacy. However, advances made over the past decade in the safety and efficacy of surgery have resulted in perioperative mortality of around 3% and 5-year survival approaching 30% after resection and adjuvant chemotherapy. Furthermore, owing to advances in both surgical techniques and systemic chemotherapy, the indications for resection have been extended to include locally advanced tumours. Many aspects of pancreatic cancer surgery, such as the management of postoperative morbidities, sequencing of resection and systemic therapy, and use of neoadjuvant therapy followed by resection for tumours previously considered unresectable, are rapidly evolving. In this Review, we summarize the current status of and new developments in pancreatic cancer surgery, while highlighting the most important research questions for attempts to further optimize outcomes.

Optimizing the outcomes of pancreatic cancer surgery

Pancreatic ductal adenocarcinoma (PDAC) is characterized by KRAS- and autophagy-dependent tumorigenic growth, but the role of KRAS in supporting autophagy has not been established. We show that, to our surprise, suppression of KRAS increased autophagic flux, as did pharmacological inhibition of its effector ERK MAPK. Furthermore, we demonstrate that either KRAS suppression or ERK inhibition decreased both glycolytic and mitochondrial functions. We speculated that ERK inhibition might thus enhance PDAC dependence on autophagy, in part by impairing other KRAS- or ERK-driven metabolic processes. Accordingly, we found that the autophagy inhibitor chloroquine and genetic or pharmacologic inhibition of specific autophagy regulators synergistically enhanced the ability of ERK inhibitors to mediate antitumor activity in KRAS-driven PDAC. We conclude that combinations of pharmacologic inhibitors that concurrently block both ERK MAPK and autophagic processes that are upregulated in response to ERK inhibition may be effective treatments for PDAC. Blockade of ERK signaling in KRAS-mutant pancreatic cancer increases the dependence on autophagic flux through different mechanisms and provides a rationale for combinatorial targeting with autophagy inhibitors.

/pdf/combination-of-erk-and-autophagy-inhibition-as-a-treatment-1sw90dykx4.pdf

Combination of ERK and autophagy inhibition as a treatment approach for pancreatic cancer

Although we have come a long way in our understanding of the signals that drive cancer growth, and how these signals can be targeted, effective control of this disease remains a key scientific and medical challenge. The therapy resistance and relapse that are commonly seen are driven in large part by the inherent heterogeneity within cancers that allows drugs to effectively eliminate some, but not all, malignant cells. Here, we focus on the fundamental drivers of this heterogeneity by examining emerging evidence that shows that these traits are often controlled by the disruption of normal cell fate and aberrant adoption of stem cell signals. We discuss how undifferentiated cells are preferentially primed for transformation and often serve as the cell of origin for cancers. We also consider 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.

Stem cell fate in cancer growth, progression and therapy resistance

There is a clear and unmet clinical need for biomarkers to predict responsiveness to chemotherapy for cancer. We developed an in vitro test based on patient-derived tumor organoids (PDOs) from metastatic lesions to identify nonresponders to standard-of-care chemotherapy in colorectal cancer (CRC). In a prospective clinical study, we show the feasibility of generating and testing PDOs for evaluation of sensitivity to chemotherapy. Our PDO test predicted response of the biopsied lesion in more than 80% of patients treated with irinotecan-based therapies without misclassifying patients who would have benefited from treatment. This correlation was specific to irinotecan-based chemotherapy, however, and the PDOs failed to predict outcome for treatment with 5-fluorouracil plus oxaliplatin. Our data suggest that PDOs could be used to prevent cancer patients from undergoing ineffective irinotecan-based chemotherapy.

/pdf/patient-derived-organoids-can-predict-response-to-4btrq6oka1.pdf

Patient-derived organoids can predict response to chemotherapy in metastatic colorectal cancer patients.

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.

/pdf/organoid-profiling-identifies-common-responders-to-engu2c165e.pdf

Benjamin Hubert

Papers

Organoid profiling identifies common responders to chemotherapy in pancreatic cancer