Evidence map›Paper›PMID 37387210›Full record

ReviewHuman vaccines & immunotherapeutics2023

A review of the clinical experience with CMN-001, a tumor RNA loaded dendritic cell immunotherapy for the treatment of metastatic renal cell carcinoma.

Mark DeBenedette, Alicia Gamble, Marcus Norris, Joe Horvatinovich, Charles A Nicolette

Open access · goldAbstract readReview
In one paragraph

Review in Human vaccines & immunotherapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 2 countries.

Mark DeBenedetteDepartment of Research & Development, CoImmune Inc., Durham, NC, USA.
Alicia GambleDepartment of Research & Development, CoImmune Inc., Durham, NC, USA.
Marcus NorrisDepartment of Research & Development, CoImmune Inc., Durham, NC, USA.
Joe HorvatinovichDepartment of Research & Development, CoImmune Inc., Durham, NC, USA.
Charles A NicoletteDepartment of Research & Development, CoImmune Inc., Durham, NC, USA.
CoImmune (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Engineering dendritic cells (DCs) to treat cancer is a long sought-after goal for cell-based immunotherapies. In this review, we focus on the experience with CMN-001, formally AGS-003, a DC-based immunotherapy, employing autologous DC electroporated with autologous tumor RNA to treat subjects with metastatic renal cell carcinoma (mRCC). We will review the early clinical development of CMN-001 up to and including deployment in a multicenter phase 3 study and provide a rationale to continue the development of CMN-001 in an ongoing randomized phase 2 study. The synergy between CMN-001 and everolimus observed in the phase 3 study provides an opportunity to design a phase 2b study building on the mechanism of action of CMN-001 and underlying immune and clinical outcomes revealed in the earlier studies. The design of the phase 2b study combines CMN-001 with first-line checkpoint inhibition therapy and second line lenvatinib/everolimus in poor-risk mRCC subjects.

Indexed as

Cancer VaccinesCarcinoma, Renal CellKidney NeoplasmsClinical Trials, Phase II as TopicClinical Trials, Phase III as TopicDendritic CellsEverolimusHumansImmunotherapyMulticenter Studies as TopicRandomized Controlled Trials as TopicRNACancer VaccinesEverolimusRNAcancer vaccinesDendritic cellsimmunotherapymemory T cellsmRCC

Identifiers

PMID37387210
PMCPMC10332239
OpenAlexW4382632111

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.