Neoadjuvant Therapy in Patients With Resectable HCC Screened by a Multimodal Deep Learning Model

May 17, 2024 updated by: Chen Xiaoping

Efficacy and Safety of Neoadjuvant HAIC Combined With Tislelizumab and Lenvatinib in Patients With Resectable HCC Screened by a Multimodal Deep Learning Model: a Multicenter Randomized Controlled Trial.

Primary liver cancer is one of the most common malignant tumors in the world, and about 80%~90% of primary liver cancers are pathologically characterized as hepatocellular carcinoma (HCC). Radical surgery is the main method for patients with HCC to obtain long-term survival. However, there is no consensus on surgical treatment for patients with BCLC-stage B or C HCC. New tools are urgently needed to guide the choice of treatment options.

Study Overview

Detailed Description

Primary liver cancer is one of the most common malignant tumors in the world, and about 80%~90% of primary liver cancers are pathologically characterized as hepatocellular carcinoma (HCC). Radical surgery is the main method for patients with HCC to obtain long-term survival. However, there is no consensus on surgical treatment for patients with BCLC-stage B or C HCC. Transarterial chemoembolization and systemic medication were the first line of treatment for this patients. In eastern countries, such as China, BCLC-B is further categorized into stages IIa and IIb, and surgical resection is recommended as the first-line treatment option for stage IIa, while surgical resection can also be considered for stage IIb. Moreover, many studies have found that patients with BCLC-C stage tumors can also benefit from surgery and the overall prognosis were better than non-surgical treatment. However, the rate of postoperative recurrence is higher than that of early HCC. To address this issue, new tools are urgently needed to guide the selection of appropriate treatment regimens to reduce the risk of postoperative recurrence and improve overall survival.

Our multidisciplinary team used deep learning technology to construct an artificial intelligence prediction model of neoadjuvant therapy (Neoadj-Net) benefit based on pre-treatment genetic testing data, digital pathology slides and imaging data (enhanced MRI) of 536 intermediate-stage HCC patients treated with HAIC in combination with lenvatinib and PD-1 monoclonal antibody in six centers, and external center data validated the model's good ability to identify the beneficiary population of the combination regimen ( AUC 0.89, Accuracy 0.86). This study is to explore the effectiveness and safety of Neoadj-Net in reducing postoperative recurrence by observing the benefit of the combined neoadjuvant regimen in patients who are potentially benefited from neoadjuvant therapy and direct surgery from the perspective of precision therapy.

Study Type

Interventional

Enrollment (Estimated)

160

Phase

  • Phase 2

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  1. Aged 18-75.
  2. No previous local or systemic treatment for hepatocellular carcinoma.
  3. Child-Pugh liver function score ≤ 7.
  4. ECOG PS 0-1.
  5. No serious organic diseases of the heart, lungs, brain, kidneys, etc.
  6. Enhanced MRI determines that the tumor stage is BCLC B or C without distant metastasis, and is technically resectable.
  7. Pathologic type of hepatocellular carcinoma confirmed by puncture biopsy.
  8. Multimodal Deep Learning Model Screening Based on Pathology, Imaging, and Genetic Data Suggests Benefit from HAIC in Combination with Lenvatinib and PD-1 inhibitors.

Exclusion Criteria:

  1. Pregnant and lactating women.
  2. Suffering from a condition that interferes with the absorption, distribution, metabolism, or clearance of the study drug (e.g., severe vomiting, chronic diarrhea, intestinal obstruction, impaired absorption, etc.).
  3. A history of gastrointestinal bleeding within the previous 4 weeks or a definite predisposition to gastrointestinal bleeding (e.g., known locally active ulcer lesions, fecal occult blood ++ or more, or gastroscopy if persistent fecal occult blood +) that has not been targeted, or other conditions that may have caused gastrointestinal bleeding (e.g., severe fundoplication/esophageal varices), as determined by the investigator.
  4. Active infection.
  5. Other significant clinical and laboratory abnormalities that affect the safety evaluation.
  6. Inability to follow the study protocol for treatment or follow up as scheduled.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Neoadjuvant therapy group
Patients in the neoadjuvant group received neoadjuvant therapy prior to surgery (two cycles of HAIC combined with Tislelizumab and Lenvatinib), and adjuvant therapy (Tislelizumab for 8 cycles) after surgery.
Patients in the neoadjuvant group received two cycles of neoadjuvant hepatic arterial infusion chemotherapy (HAIC, adoption of the FOFOLX6 program, Folinic acid+5-fluorouracil+Oxaliplatin, 21 days between second HAIC treatments with a window of ±3 days)
Patients in the neoadjuvant therapy group received Lenvatinib before surgery(Len was started before HAIC treatment, discontinued during HAIC treatment, and discontinued approximately two weeks before surgery, Oral 8 mg or 12mg once a day depending body weight).
Patients in the neoadjuvant therapy group received two cycles of Tislelizumab therapy before surgery (First treatment with Tislelizumab was started 0-1 days after HAIC, 200 mg IV, followed by a second treatment 21 days later)
Patients in the neoadjuvant therapy group were evaluated for tumor status and surgical safety after neoadjuvant therapy, and eligible patients subsequently underwent surgical resection. Patients in the direct surgery group underwent liver resection.
Given the high risk of postoperative recurrence, patients in both groups received adjuvant Tis therapy (every 21 days for 8 cycles) starting about one month after surgery.
Active Comparator: Direct liver resection group
Patients in the control group underwent liver resection directly and received adjuvant therapy (Tislelizumab for 8 cycles) after surgery.
Patients in the neoadjuvant therapy group received two cycles of Tislelizumab therapy before surgery (First treatment with Tislelizumab was started 0-1 days after HAIC, 200 mg IV, followed by a second treatment 21 days later)
Patients in the neoadjuvant therapy group were evaluated for tumor status and surgical safety after neoadjuvant therapy, and eligible patients subsequently underwent surgical resection. Patients in the direct surgery group underwent liver resection.
Given the high risk of postoperative recurrence, patients in both groups received adjuvant Tis therapy (every 21 days for 8 cycles) starting about one month after surgery.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Median event-free survival (EFS)
Time Frame: From date of randomization until the date of first documented recurrence or date of death from any cause, whichever came first, assessed up to 60 months.
EFS is defined as the time from randomization to disease recurrence and/or disease progression or death from any cause.
From date of randomization until the date of first documented recurrence or date of death from any cause, whichever came first, assessed up to 60 months.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Safety Assessment
Time Frame: Baseline up to 12 months
Any adverse event during treatment that is incompatible with the therapeutic purpose of the medication.The incidence and severity of adverse events and serious adverse events as assessed by CTCAE v5.0.
Baseline up to 12 months
Overall Survival (OS)
Time Frame: From date of randomization until the date of death from any cause, assessed up to 60 months.
OS is defined as the time from randomization to death from any cause
From date of randomization until the date of death from any cause, assessed up to 60 months.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

June 1, 2024

Primary Completion (Estimated)

May 31, 2026

Study Completion (Estimated)

May 31, 2027

Study Registration Dates

First Submitted

May 14, 2024

First Submitted That Met QC Criteria

May 17, 2024

First Posted (Actual)

May 20, 2024

Study Record Updates

Last Update Posted (Actual)

May 20, 2024

Last Update Submitted That Met QC Criteria

May 17, 2024

Last Verified

May 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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