Analysis of intrapatient heterogeneity of circulating tumor cells at the single-cell level in the cerebrospinal fluid of a patient with metastatic gastric cancer.

BACKGROUND: The aims of this study were to detect circulating tumor cells (CTCs) at the single-cell level in cerebrospinal fluid (CSF) and to identify intrapatient heterogeneity of CTCs in a patient with gastric cancer (GC) with leptomeningeal metastasis (LM) using Di-Electro-Phoretic Array technology. MATERIALS AND METHODS: The CSF samples were drawn from a patient who was diagnosed with GC with LM. The CSF samples were centrifuged and stained with antibody cocktail to recognize 4',6-diamidino-2-phenylindole, cytokeratin, and epithelial cell adhesion molecule (EpCAM). Gene sequencing was also conducted to evaluate the status of the gene alteration profile of CSFCTCs as compared with those of the CSF non-CTCs and the primary tumor tissue. RESULTS: Among total 38 cells from the samples, 25 cells represented CK+ (EpCAM+), which boiled down to 0.53 CTCs in 1 mL of CSF. Each CTC was heterogeneous in terms of morphology and degree of marker expression. Some CTCs have a spindle-like shape, whereas others have a round shape. Based on molecular profiling between the 25 CK+ (EpCAM+) CTCs and 13 CK-/EpCAM- cells (i.e., the non-CTCs), CSFCTCs harbored mutations such as MDM2, TP53, KRAS, STK11, and ALK, whereas mutation of these genes was not observed in the CSF non-CTCs. Four genes of nine mutational genes totally observed in the CSFCTCs were also noted in the primary tumor tissue. CONCLUSIONS: We enriched CTCs through a single-cell sorting process in CSF samples of a GC patient with LM. We also demonstrated the intrapatient heterogeneity of the CTCs at the single-cell level.

Comprehensive pharmacogenomic characterization of gastric cancer.

BACKGROUND: Gastric cancer is among the most lethal human malignancies. Previous studies have identified molecular aberrations that constitute dynamic biological networks and genomic complexities of gastric tumors. However, the clinical translation of molecular-guided targeted therapy is hampered by challenges. Notably, solid tumors often harbor multiple genetic alterations, complicating the development of effective treatments. METHODS: To address such challenges, we established a comprehensive dataset of molecularly annotated patient derivatives coupled with pharmacological profiles for 60 targeted agents to explore dynamic pharmacogenomic interactions in gastric cancers. RESULTS: We identified lineage-specific drug sensitivities based on histopathological and molecular subclassification, including substantial sensitivities toward VEGFR and EGFR inhibition therapies in diffuse- and signet ring-type gastric tumors, respectively. We identified potential therapeutic opportunities for WNT pathway inhibitors in ALK-mutant tumors, a significant association between PIK3CA-E542K mutation and AZD5363 response, and transcriptome expression of RNF11 as a potential predictor of response to gefitinib. CONCLUSIONS: Collectively, our results demonstrate the feasibility of drug screening combined with tumor molecular characterization to facilitate personalized therapeutic regimens for gastric tumors.

Pharmacogenomic landscape of patient-derived tumor cells informs precision oncology therapy.

Outcomes of anticancer therapy vary dramatically among patients due to diverse genetic and molecular backgrounds, highlighting extensive intertumoral heterogeneity. The fundamental tenet of precision oncology defines molecular characterization of tumors to guide optimal patient-tailored therapy. Towards this goal, we have established a compilation of pharmacological landscapes of 462 patient-derived tumor cells (PDCs) across 14 cancer types, together with genomic and transcriptomic profiling in 385 of these tumors. Compared with the traditional long-term cultured cancer cell line models, PDCs recapitulate the molecular properties and biology of the diseases more precisely. Here, we provide insights into dynamic pharmacogenomic associations, including molecular determinants that elicit therapeutic resistance to EGFR inhibitors, and the potential repurposing of ibrutinib (currently used in hematological malignancies) for EGFR-specific therapy in gliomas. Lastly, we present a potential implementation of PDC-derived drug sensitivities for the prediction of clinical response to targeted therapeutics using retrospective clinical studies.

Establishment and characterisation of patient-derived xenografts as paraclinical models for gastric cancer.

The patient-derived xenograft (PDX) model is emerging as a promising translational platform to duplicate the characteristics of tumours. However, few studies have reported detailed histological and genomic analyses for model fidelity and for factors affecting successful model establishment of gastric cancer. Here, we generated PDX tumours surgically-derived from 62 gastric cancer patients. Fifteen PDX models were successfully established (24.2%, 15/62) and passaged to maintain tumours in immune-compromised mice. Diffuse type and low tumour cell percentage were negatively correlated with success rates (p = 0.005 and p = 0.025, respectively), while reducing ex vivo and overall procedure times were positively correlated with success rates (p = 0.003 and p = 0.01, respectively). The histology and genetic characteristics of PDX tumour models were stable over subsequent passages. Lymphoma transformation occurred in five cases (33.3%, 5/15), and all were in the NOG mouse, with none in the nude mouse. Together, the present study identified Lauren classification, tumour cell percentages, and ex vivo times along with overall procedure times, as key determinants for successful PDX engraftment. Furthermore, genetic and histological characteristics were highly consistent between primary and PDX tumours, which provide realistic paraclinical models, enabling personalised development of treatment options for gastric cancer.