Testing the Combination of the Anticancer Drug Durvalumab With Chemotherapy (Gemcitabine and Cisplatin) at Improving Outcomes for High-Risk Resectable Liver Cancer Before Surgery

Trial statusRecruiting
Trial phasePhase 2
Trial typeInterventional
Biological sexAll
Age18+
SponsorNational Cancer Institute (NCI)

About this trial

This phase II trial tests how well giving durvalumab with standard chemotherapy, gemcitabine and cisplatin, before surgery works in treating patients with high risk liver cancer (cholangiocarcinoma) that can be removed by surgery (resectable). Durvalumab is a monoclonal antibody that may interfere with the ability of tumor cells to grow and spread. Chemotherapy drugs, such as gemcitabine and cisplatin, work in different ways to stop the growth of tumor cells, either by killing the cells, by stopping them from dividing, or by stopping them from spreading. Giving durvalumab with gemcitabine and cisplatin before surgery may make the tumor smaller and reduce the amount of normal tissue that needs to be removed in patients with high risk resectable cholangiocarcinoma.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Patients must have histologically or cytologically confirmed intrahepatic cholangiocarcinoma (iCCA) that is resectable by imaging evaluation. Choice of staging modality is left up to the discretion of the treatment team; we favor high-quality CT scan of the chest/abdomen/pelvis with liver or biliary protocol. Eligibility will be confirmed through central imaging review.

Patients must have measurable disease, defined as at least one lesion that can be accurately measured in at least one dimension (longest diameter to be recorded for non-nodal lesions and short axis for nodal lesions) as >= 10 mm (>= 1 cm) with CT scan, MRI, or calipers by clinical exam.

Patients must be an acceptable risk surgical candidate at the time of enrollment, as determined by a board-certified surgeon with expertise in hepatobiliary surgery.

Tumor size > 5 cm.

Disqualifiers

Potential trial participants should have recovered from clinically significant adverse events of their most recent therapy/intervention prior to enrollment.

Major surgical procedure (as defined by the Investigator) within 14 days prior to the first dose of durvalumab. Note: Local surgery of isolated lesions for palliative intent or biliary stents is acceptable.

Intranasal, inhaled, topical steroids, or local steroid injections (e.g., intra articular injection).

Systemic corticosteroids at physiologic doses not to exceed <<10 mg/day>> of prednisone or its equivalent.

Trial design

Design model

Single group

Treatments tested in this trial

  • Biopsy Procedure

    Procedure/Surgery

    Undergo tissue biopsy

  • Biospecimen Collection

    Procedure/Surgery

    Undergo blood sample collection

  • Cisplatin

    Drug

    Given IV

  • Computed Tomography

    Procedure/Surgery

    Undergo CT scan

  • Durvalumab

    Biological/Vaccine

    Given IV

  • Gemcitabine

    Drug

    Given IV

  • Magnetic Resonance Imaging

    Procedure/Surgery

    Undergo MRI scan

  • Resection

    Procedure/Surgery

    Undergo surgical resection

Treatment groups

27 Participants
are divided into 1 treatment group
Group A: Treatment (durvalumab, gemcitabine, cisplatin)Experimental treatment 8 interventions

Trial outcomes

Primary outcomes

1

Proportion of patients who complete 4 cycles of neoadjuvant therapy followed by surgical resection

Descriptive analysis will be used. Summary statistics (such as mean, median, range, proportion, as well as the associated 95% confidence interval \[CI\]) will be reported. Regression models (such as the logistic regression for binary endpoints and the Cox regression for survival endpoints) will be constructed to assess the association between the primary/secondary endpoints and the prognostic or biomarker variables.

Time frame
After surgical resection, up to week 18 after starting neoadjuvant therapy

Secondary outcomes

1

Major pathologic response (MPR) rate

MPR will be calculated based on the patients who can successfully undergo surgical resection. Descriptive analysis will be used. Summary statistics (such as mean, median, range, proportion, as well as the associated 95% CI) will be reported. Regression models (such as the logistic regression for binary endpoints and the Cox regression for survival endpoints) will be constructed to assess the association between the primary/secondary endpoints and the prognostic or biomarker variables.

Time frame
After surgical resection, up to week 18 after starting neoadjuvant therapy
2

Proportion of patients who attain an R0 margin status after surgical resection

Descriptive analysis will be used. Summary statistics (such as mean, median, range, proportion, as well as the associated 95% CI) will be reported. Regression models (such as the logistic regression for binary endpoints and the Cox regression for survival endpoints) will be constructed to assess the association between the primary/secondary endpoints and the prognostic or biomarker variables.

Time frame
After surgical resection, up to week 18 after starting neoadjuvant therapy
3

Radiological response rate

Defined as the percentage of patients with complete response, partial response, stable disease or progressive disease after neoadjuvant therapy by Response Evaluation Criteria in Solid Tumor (RECIST), modified RECIST and quantitative European Association for the Study of the Liver after completing 4 cycles of neoadjuvant therapy. Descriptive analysis will be used. Summary statistics (such as mean, median, range, proportion, as well as the associated 95% CI) will be reported. Regression models (such as the logistic regression for binary endpoints and the Cox regression for survival endpoints) will be constructed to assess the association between the primary/secondary endpoints and the prognostic or biomarker variables.

Time frame
After 2 and 4 cycles of neoadjuvant therapy (cycle length=21 days)
4

Overall survival (OS)

OS, including treatment-related, and disease-related death will be assessed using immune RECIST. Descriptive analysis will be used. Summary statistics (such as mean, median, range, proportion, as well as the associated 95% CI) will be reported. Kaplan-Meier method will be used to estimate the survival curves. Regression models (such as the logistic regression for binary endpoints and the Cox regression for survival endpoints) will be constructed to assess the association between the primary/secondary endpoints and the prognostic or biomarker variables.

Time frame
From randomization to death, assessed up to 2 years

Other outcomes

1

Tissue and blood based immune biomarkers

Descriptive analysis will be used. Summary statistics (such as mean, median, range, proportion, as well as the associated 95% CI) will be reported. Regression models (such as the logistic regression for binary endpoints and the Cox regression for survival endpoints) will be constructed to assess the association between the primary/secondary endpoints and the prognostic or biomarker variables.

Time frame
Up to week 12 after starting adjuvant therapy
2

Tumor genomics, transcriptional profile and multiplex immunohistochemistry and multiplex immunofluorescence

Descriptive analysis will be used. Summary statistics (such as mean, median, range, proportion, as well as the associated 95% CI) will be reported. Regression models (such as the logistic regression for binary endpoints and the Cox regression for survival endpoints) will be constructed to assess the association between the primary/secondary endpoints and the prognostic or biomarker variables.

Time frame
Up to week 12 after starting adjuvant therapy
3

Changes in circulating immune phenotypic profiles in the neoadjuvant phase

Descriptive analysis will be used. Summary statistics (such as mean, median, range, proportion, as well as the associated 95% CI) will be reported. Regression models (such as the logistic regression for binary endpoints and the Cox regression for survival endpoints) will be constructed to assess the association between the primary/secondary endpoints and the prognostic or biomarker variables.

Time frame
Up to week 12 after starting adjuvant therapy
4

Circulating tumor deoxyribonucleic acid-based minimal residual disease correlated with pathological response and RFS

Descriptive analysis will be used. Summary statistics (such as mean, median, range, proportion, as well as the associated 95% CI) will be reported. Regression models (such as the logistic regression for binary endpoints and the Cox regression for survival endpoints) will be constructed to assess the association between the primary/secondary endpoints and the prognostic or biomarker variables.

Time frame
Up to week 12 after starting adjuvant therapy

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