Will the increased number of site activations improve enrollment speed and reduce trial timelines? | ACET (Aug 07, 2025) | Candlesense

Will the increased number of site activations improve enrollment speed and reduce trial timelines?

Short answer:

Yes – the activation of more than 20 sites for the ADI‑001 Phase 1 autoimmune program is expected to accelerate patient enrollment and, consequently, shorten the overall trial timeline, assuming the sites are adequately staffed, have access to the target patient population, and operate efficiently.


Why additional site activations tend to speed enrollment

Factor How it influences enrollment / timeline
Geographic spread More sites mean the trial reaches a broader patient pool, reducing the distance patients must travel and increasing the likelihood of finding eligible participants quickly.
Patient‑access capacity Each site can enroll multiple patients in parallel. With 20+ active sites, the cumulative enrollment capacity is far greater than a single‑site or low‑site trial.
Risk diversification If one site experiences delays (e.g., staffing issues, regulatory hiccups, low recruitment), other sites can continue enrolling, preventing a single point of failure from stalling the trial.
Regulatory momentum Early site activation signals that the sponsor has cleared key regulatory and IRB hurdles, often smoothing the path for subsequent sites and allowing faster overall roll‑out.
Operational learning curve As the first batch of sites becomes active, the sponsor learns best practices (e.g., consent workflow, data capture) that can be quickly disseminated to newer sites, improving efficiency across the network.

How this applies to ADI‑001 (based on the news)

  • Current status: The press release (dated August 7 2025) explicitly states that “site activation is progressing well with more than 20 sites currently open” for the ADI‑001 autoimmune Phase 1 program.
  • Implication of “progressing well”: This phrasing suggests that the sites have cleared the usual start‑up steps (IRB/IEC approvals, site‑specific contracts, training, drug supply logistics). When start‑up is smooth, the sites can begin patient screening and enrollment without significant lag.
  • Phase 1 context: Early‑stage trials often enroll a relatively small number of patients (e.g., 20‑80). With >20 sites, each site may only need to enroll a handful of participants, which is typically achievable within weeks to a few months rather than waiting for a single site to recruit the entire cohort.
  • Operational highlights: The press release is part of a broader earnings update, indicating that the company is tracking the trial’s progress closely and is likely monitoring enrollment metrics (screened vs. enrolled, time‑to‑first‑patient). The fact that this metric is highlighted in an earnings release signals that the company views it as a positive indicator for upcoming milestones.

Potential caveats & conditions

Caveat Explanation Impact on enrollment speed
Site readiness variability Not all sites may have the same experience with gamma‑delta T‑cell therapies or the same patient referral networks. Some may enroll slowly despite being “open.” May create uneven enrollment, but the overall pool still benefits from the larger number of sites.
Patient eligibility Autoimmune disease sub‑populations can be heterogeneous; stringent inclusion/exclusion criteria could limit the number of eligible patients per site. Could blunt the acceleration effect, but a larger site network mitigates this risk.
Supply chain logistics The investigational product (ADI‑001) must be shipped, stored, and prepared at each site. Any bottleneck in drug distribution could slow enrollment. The company’s operational updates (not shown here) would need to confirm that supply logistics are in place.
Regulatory or IRB delays Even after “activation,” some sites may encounter local IRB or contractual delays before they can actually start enrolling. May delay individual sites but not the overall network if other sites are already enrolling.
Data‑capture and monitoring capacity With many sites, the sponsor must ensure consistent data quality and timely monitoring. Over‑extension could cause protocol deviations that slow trial progress. Proper CRO support and centralized monitoring can mitigate this risk.

Bottom line: While the above risks exist in any multi‑site trial, the explicit statement that site activation is “progressing well” implies that Adicet Bio has already addressed the major start‑up hurdles for these sites.


Expected quantitative effect (illustrative)

Assuming a typical Phase 1 autoimmune trial targets 30‑40 patients:

Scenario Number of active sites Avg. patients per site needed Estimated enrollment duration (if each site enrolls 1 patient/month)
Current (≈20+ sites) 20 1.5–2 2–3 months
If only 5 sites were open 5 6–8 6–8 months

These are simple back‑of‑the‑envelope calculations; actual timelines depend on patient prevalence, screening efficiency, and site performance.


How this fits into trial timelines

  • Accelerated start‑up → Earlier first‑patient‑in (FPI). With many sites ready, the sponsor can achieve FPI across the network quickly, often within weeks of the activation announcement.
  • Parallel enrollment → Shorter overall enrollment window. Instead of a sequential enrollment (one site after another), parallel enrollment compresses the total window, allowing the data‑cutoff for the Phase 1 readout to be reached sooner.
  • Regulatory milestones: Faster enrollment can lead to earlier submission of safety data to the FDA/EMA, potentially accelerating subsequent Phase 2/3 initiation if the interim data are positive.

Bottom‑line recommendation for stakeholders

  1. Monitor enrollment metrics (screened, randomized, and completed patients) on a weekly basis to verify that the >20 active sites are indeed contributing to patient accrual.
  2. Track site performance variance to identify any under‑performing sites early and re‑allocate resources or open additional sites if needed.
  3. Confirm drug supply chain robustness across all active sites to avoid bottlenecks that could negate the benefit of multiple site activations.
  4. Communicate milestones (e.g., “first 10 patients enrolled”) to investors and partners, as these will substantiate the anticipated timeline compression.

Conclusion: Based on the information provided, the increase to more than 20 open sites for the ADI‑001 Phase 1 autoimmune trial should meaningfully improve enrollment speed and reduce the overall trial timeline, provided that site execution, patient eligibility, and supply logistics remain on track.