3D imaging analysis on an organoid-based platform guides personalized treatment in pancreatic ductal adenocarcinoma

Ya'an Kang1,2, Jenying Deng1, Jianhua Ling3

  • 1Department of Surgical Oncology.

Insights

A new organoid-based platform (OBP) helps predict pancreatic cancer treatment effectiveness by analyzing patient-derived organoids (PDOs). This approach visualizes drug responses and tumor-stroma interactions, aiding personalized therapy selection for pancreatic ductal adenocarcinoma (PDAC).

Area of Science:

  • Oncology
  • Biotechnology
  • Personalized Medicine

Background:

  • Pancreatic ductal adenocarcinoma (PDAC) presents significant challenges due to unpredictable chemotherapy responses and a lack of pre-treatment predictive assays.
  • Current therapeutic strategies for PDAC often lack personalization, leading to suboptimal patient outcomes.
  • The need for methods to assay patient tumors and identify effective treatment regimens based on individual tumor sensitivities is critical.

Purpose of the Study:

  • To develop and validate an organoid-based platform (OBP) for quantifying patient-derived organoid (PDO) responses to drug treatments.
  • To assess tumor-stroma modulation within PDOs as a potential biomarker for treatment efficacy.
  • To correlate organoid-level findings with patient outcomes for personalized pancreatic cancer therapy.

Main Methods:

  • Retrospective quantification of apoptotic responses and tumor-stroma cell proportions in PDOs using 3D immunofluorescence (Annexin A5, α-SMA, CK-19).
  • Ex vivo organoid drug sensitivity assay (ODSA) to measure PDO responses to standard-of-care chemotherapy regimens.
  • Statistical analysis, including exact McNemar's test and Kaplan-Meier survival analysis, to compare ODSA results with patient tumor responses and survival.

Main Results:

  • The OBP successfully quantified immunofluorescence signals, organoid growth, and Ki-67 levels in PDOs over 14 days.
  • ODSA drug responses showed no significant difference compared to patient tumor responses, as indicated by CA19-9 reductions post-neoadjuvant chemotherapy (P = 0.99).
  • Distinct apoptotic and tumor-stroma modulation profiles were observed in PDOs (P < 0.0001). A high α-SMA/CK-19 ratio (>1.0) correlated with improved patient outcomes (P = 0.0179) and longer survival (P = 0.0046).

Conclusions:

  • Patient-derived organoids exhibit heterogeneous apoptotic drug responses and tumor-stroma modulation following standard chemotherapy.
  • The ratio of α-SMA to CK-19 levels in PDOs serves as a predictive biomarker for patient survival.
  • The OBP holds promise for guiding personalized therapy selection to enhance systemic treatment efficacy in PDAC patients.

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