Dose response relationship of medical cannabis and symptom control in patients with pancreatic cancer: an analysis of the CANPAN trial.

OncologistOct 7, 2026
Clinical ResearchOncology (Medical)

Arjun Gupta, Kendall Lin, Ella Chrenka et al.

✦ AI-curated · Sources linked

In 30 seconds

This analysis of the CANPAN pilot waitlist-control randomized trial examined cannabis use, patient-reported outcome completion, and THC dose-response among 32 cannabis-naïve patients with newly diagnosed locally advanced or metastatic pancreatic adenocarcinoma. During assigned 8-week periods, 23 participants (72%) used cannabis, while outcome data were available for half the participants at 16 weeks. Higher average daily THC dose was associated with improvement in anxiety and insomnia; a dose of ≥ 10 mg daily was associated with mean improvement in 4 symptoms, compared with 2.1 symptoms at <10 mg.

Key findings

  • At 16 weeks, patient-reported outcome data were available for 16 (50%) participants.
  • Higher average daily THC dose was associated with improvement in anxiety (r = 0.52, P = .038) and insomnia (r = 0.53, P = .033).
  • A ≥ 10 mg daily THC dose (vs <10 mg) was associated with mean improvement in 4 vs 2.1 symptoms.

Why it matters

The findings suggest that THC dose may relate to psychological symptom improvement and broader symptom control in patients with pancreatic cancer. This dose-response signal may help inform the design of future trials, while the limited availability of longer-term patient-reported data underscores the need to address outcome completion when evaluating sustained effects.

What to keep in mind

Patient-reported outcome data were available for only 50% of participants at 16 weeks, limiting assessment of longer-term outcomes. The dose-response analysis comes from a small pilot trial.

Source

Published in Oncologist. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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