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Next Generation Sequencing-Based Stratification of Front Line Treatment of HighGrade Neuroendocrine Carcinoma

A Pilot Feasibility Study of Next Generation Sequencing-Based Stratification of Front Line Treatment of HighGrade Neuroendocrine Carcinoma

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04452292
Acronym
PRECISION-NEC
Enrollment
2
Registered
2020-06-30
Start date
2021-09-14
Completion date
2023-03-14
Last updated
2023-05-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Large-Cell Neuroendocrine Carcinoma

Keywords

poorly differentiated neuroendocrine carcinoma, NGS, TP53/Rb1, co-mutation, molecular subtype

Brief summary

PRECISION-NEC is a single-center, open-label, pilot feasibility study of molecularly defined subtypes of metastatic high-grade neuroendocrine carcinoma (HG-NEC). The hypothesis is that HG-NEC (excluding small cell carcinoma) can be segregated based on mutational analysis and that next generation sequencing (NGS)-based assignment of therapy is feasible and will potentially improve the outcomes.

Detailed description

Neuroendocrine tumors vary widely in both disease site and grade, ranging from low grade, relatively benign carcinoid tumors to aggressive and rapidly fatal high-grade neuroendocrine carcinomas. High-grade neuroendocrine carcinomas (HG-NECs) can originate anywhere in the body, and are highly aggressive, with dismal 5-year overall survival rates. The lung and gastrointestinal tract (small bowel, colon, rectum, or pancreas) form the majority of these HG-NECs sites. HG-NECs are classified into three subtypes based on histopathology, specifically, as small cell neuroendocrine carcinoma, large cell neuroendocrine carcinoma (LCNEC), or poorly differentiated neuroendocrine carcinoma. There is a lack of consensus for upfront systemic regimens for HG-NECs and as such, treatment is often per physician preference. Most often, HG-NECs are treated with platinum-based chemotherapeutic regimens, with marked heterogeneity in response. It is well established that small cell neuroendocrine carcinomas are characterized by a co-mutation for TP53 and RB1, and are exceptionally platinum-sensitive. However less is known about LCNECs. LCNEC was first introduced in 1991 by Travis et. al as a new type of lung cancer. The 2015 World Health Organization Classification categorized LCNEC under neuroendocrine tumors, along with typical carcinoma, atypical carcinoma and the more undifferentiated tumor represented by small cell lung cancer. Prior to 2015, LCNEC was classified under a general category of large cell carcinoma, however as pathologists studied this entity in detail, it was evident that LCNEC has a distinct clinicopathological identity. Histopathologically, these tumors are characterized by high mitotic rate (more than 10 mitosis per high power field), extensive necrosis, and neuroendocrine features, specifically the presence of chromogranin A, neuron specific enolase and synaptophysin. LCNEC is a rare and aggressive disease with a paucity of data regarding disease progression. Precise incidence and prevalence is unknown. From 2003-2012, the Dutch Cancer Registry reported 952 histologically confirmed new cases of pulmonary LCNECs. Among these cases, 383 patients presented with advanced disease, primarily metastases to liver, bone, or brain. The prognosis is poor with overall 5-year survival for metastatic disease less than 5%, which is similar to small cell lung cancer (SCLC), although some studies suggest that the prognosis for early-stage LCNEC might be slightly better and similar to non-small cell lung cancer (NSCLC). Molecular profiling of small-cell neuroendocrine carcinomas is well established and validated, indicating universally expressed co-mutation for TP53 and RB1. Recently there have been attempts to define genomic profiles of LCNEC. The development of a 241-gene panel on pulmonary tumors, next-generation sequencing allows LCNECs to be further defined. Based on specific genetic signatures, Rekhtman and colleagues sub-classified 45 LCNECs into two major cohorts: 1) small cell-like (TP53/RB1 co-mutated; n=18) and 2) non-small cell-like (n=25), as well as one minor cohort (carcinoid-like n=2). Similarly, molecular profiling of gastrointestinal high-grade neuroendocrine carcinomas (GI-NECs) indicate that they can also be dichotomously categorized by the presence or absence of co-mutations for TP53 and RB1. Treatment regimens for small cell neuroendocrine carcinoma are well established, based on clinical trials conducted in SCLC. In contrast, current guidelines regarding optimal treatment for large-cell and poorly differentiated neuroendocrine carcinomas are nonexistent, driven by the paucity of data on these rare and highly fatal tumors. Additionally, the World Health Organization (WHO) recently defined a new subtype of high-grade neuroendocrine carcinoma, mixed neuroendocrine neoplasm (MINEN), which features characteristics found in large-cell carcinomas and in other tumor types, including adenocarcinomas for example. To date, there are no prospective randomized clinical trials examining front line therapies for metastatic HG-NECs, based on mutational profiles. This study will utilize recent genomic profiles of high-grade large cell neuroendocrine carcinomas to guide and inform clinicians of optimal treatments.

Interventions

OTHERTreatment Specific for Non-Small Cell Carcinoma/Adenocarcinoma

Treatment assigned to targetable mutation. Or, for tumors that are by and large without any targetable mutation follow Large-Cell Neuroendocrine Carcinoma (NCCN) guideline-directed best front-line treatment for specific non-small cell carcinoma/adenocarcinoma.

OTHERTreatment for Small Cell Lung Cancer

Treatment assigned to a targetable mutation or the current standard-of-care regimen for the treatment of small cell lung cancer.

Sponsors

National Center for Advancing Translational Sciences (NCATS)
CollaboratorNIH
Charles Kunos
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Histologically confirmed high grade neuroendocrine carcinoma that is metastatic and/or not resectable * Adequate tissue available for genomic sequencing * ECOG status less than or equal to 2 * Able to consent * Patient received up to two cycles of chemotherapy prior to enrollment * Adequate bone marrow function * Adequate hepatic function * Adequate renal function

Exclusion criteria

* Small cell carcinoma * Psychiatric illness or social situations that limit compliance * Pregnant and nursing women * Patients who have completed more than two cycles of chemotherapy * Patients with resectable cancer or eligible for curative therapy * Patients with an actionable mutation for with guidelines recommend up-front therapy with targeted agents

Design outcomes

Primary

MeasureTime frameDescription
Sequencing Rate (Feasibility)2 monthsPercentage of patients able to be sequenced within 2 months of the initial medical oncology visit.
Molecular Cohort Assignment (Feasibility)2 monthsPercentage of patients who were successfully assigned into a molecularly-defined cohort (TP53/RB1 co-mutations or not).

Secondary

MeasureTime frameDescription
Partial Response Rate2 yearsPercentage of patients experiencing overall partial response (PR).
Progressive Disease Rate2 yearsPercentage of patients experiencing overall progressive disease (PD).
Complete Response Rate2 yearsPercentage of patients experiencing overall complete response (CR).
Progression-Free Survival (PFS)2 yearsDuration of time from the first cycle of anticancer therapy to time of progressive disease or death from any cause, whichever occurs first.
Stable Disease Rate2 yearsPercentage of patients experiencing overall stable disease (SD).

Countries

United States

Participant flow

Recruitment details

Opened to accrual in 11/2020 was closed to enrollment on 11/2022 due to poor accrual. Target accrual was 15 participants.

Participants by arm

ArmCount
No TP53/Rb1 Co-Mutation
HG-LCNEC tumor lacking the TP53/Rb1 co-mutation (non-small cell-like). Treatment Specific for Non-Small Cell Carcinoma/Adenocarcinoma: Treatment assigned to targetable mutation. Or, for tumors that are by and large without any targetable mutation follow Large-Cell Neuroendocrine Carcinoma (NCCN) guideline-directed best front-line treatment for specific non-small cell carcinoma/adenocarcinoma.
2
TP53/Rb1 Co-Mutation Present
HG-LCNEC tumor with the TP53/Rb1 co-mutation. Treatment for Small Cell Lung Cancer: Treatment assigned to a targetable mutation or the current standard-of-care regimen for the treatment of small cell lung cancer.
0
Total2

Baseline characteristics

CharacteristicNo TP53/Rb1 Co-MutationTP53/Rb1 Co-Mutation PresentTotal
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
0 Participants0 Participants0 Participants
Age, Categorical
Between 18 and 65 years
2 Participants0 Participants2 Participants
Ethnicity (NIH/OMB)
Hispanic or Latino
0 Participants0 Participants0 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
2 Participants0 Participants2 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Asian
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Black or African American
0 Participants0 Participants0 Participants
Race (NIH/OMB)
More than one race
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants0 Participants0 Participants
Race (NIH/OMB)
White
2 Participants0 Participants2 Participants
Region of Enrollment
United States
2 participants2 participants
Sex: Female, Male
Female
0 Participants0 Participants0 Participants
Sex: Female, Male
Male
2 Participants0 Participants2 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 00 / 0
other
Total, other adverse events
0 / 00 / 0
serious
Total, serious adverse events
0 / 00 / 0

Outcome results

Primary

Molecular Cohort Assignment (Feasibility)

Percentage of patients who were successfully assigned into a molecularly-defined cohort (TP53/RB1 co-mutations or not).

Time frame: 2 months

Population: Two participants were enrolled in this study. Due to the possibility that participants could reasonably be identified due to low enrollment, data cannot be presented.

Primary

Sequencing Rate (Feasibility)

Percentage of patients able to be sequenced within 2 months of the initial medical oncology visit.

Time frame: 2 months

Population: Two participants were enrolled in this study. Due to the possibility that participants could reasonably be identified due to low enrollment, data cannot be presented.

Secondary

Complete Response Rate

Percentage of patients experiencing overall complete response (CR).

Time frame: 2 years

Population: Two participants were enrolled in this study. Due to the possibility that participants could reasonably be identified due to low enrollment, data cannot be presented.

Secondary

Partial Response Rate

Percentage of patients experiencing overall partial response (PR).

Time frame: 2 years

Population: Two participants were enrolled in this study. Due to the possibility that participants could reasonably be identified due to low enrollment, data cannot be presented.

Secondary

Progression-Free Survival (PFS)

Duration of time from the first cycle of anticancer therapy to time of progressive disease or death from any cause, whichever occurs first.

Time frame: 2 years

Population: Two participants were enrolled in this study. Due to the possibility that participants could reasonably be identified due to low enrollment, data cannot be presented.

Secondary

Progressive Disease Rate

Percentage of patients experiencing overall progressive disease (PD).

Time frame: 2 years

Population: Two participants were enrolled in this study. Due to the possibility that participants could reasonably be identified due to low enrollment, data cannot be presented.

Secondary

Stable Disease Rate

Percentage of patients experiencing overall stable disease (SD).

Time frame: 2 years

Population: Two participants were enrolled in this study. Due to the possibility that participants could reasonably be identified due to low enrollment, data cannot be presented.

Source: ClinicalTrials.gov · Data processed: Feb 22, 2026