Evidence map›Paper›PMID 38604813›Full record

ArticleJournal for immunotherapy of cancer2024

Autologous human preclinical modeling of melanoma interpatient clinical responses to immunotherapeutics.

Yee Peng Phoon, Jared E Lopes, Lukas W Pfannenstiel, Claudia Marcela Diaz-Montero, Ye F Tian, Marc S Ernstoff, Pauline Funchain, Jennifer S Ko, Raymond Winquist, Heather C Losey and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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

12 authors at 3 institutions in 3 countries.

Yee Peng PhoonCenter for Immunotherapy and Precision Immuno-Oncology (CITI), Cleveland Clinic, Cleveland, Ohio, USA.ORCID 0000-0003-1660-3255
Jared E LopesAlkermes Inc, Waltham, Massachusetts, USA.
Lukas W PfannenstielDepartment of Inflammation and Immunity, Cleveland Clinic, Cleveland, Ohio, USA.
Claudia Marcela Diaz-MonteroCenter for Immunotherapy and Precision Immuno-Oncology (CITI), Cleveland Clinic, Cleveland, Ohio, USA.
Ye F TianDepartment of Inflammation and Immunity, Cleveland Clinic, Cleveland, Ohio, USA.
Marc S ErnstoffDCTD/DTP-IOB, NCI, Bethesda, Maryland, USA.ORCID 0000-0002-8132-7069
Pauline FunchainTaussig Cancer Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID 0000-0002-7568-8626
Jennifer S KoPathology, Cleveland Clinic, Cleveland, Ohio, USA.
Raymond WinquistAlkermes Inc, Waltham, Massachusetts, USA.
Heather C LoseyAlkermes Inc, Waltham, Massachusetts, USA.
Jan Joseph MelenhorstCenter for Immunotherapy and Precision Immuno-Oncology (CITI), Cleveland Clinic, Cleveland, Ohio, USA.
Brian R GastmanCenter for Immunotherapy and Precision Immuno-Oncology (CITI), Cleveland Clinic, Cleveland, Ohio, USA brian.gastman@iovance.com.
Cleveland Clinic · USAlkermes (Ireland) · IENational Institutes of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite recent advances in immunotherapy, a substantial population of late-stage melanoma patients still fail to achieve sustained clinical benefit. Lack of translational preclinical models continues to be a major challenge in the field of immunotherapy; thus, more optimized translational models could strongly influence clinical trial development. To address this unmet need, we designed a preclinical model reflecting the heterogeneity in melanoma patients' clinical responses that can be used to evaluate novel immunotherapies and synergistic combinatorial treatment strategies. Using our all-autologous humanized melanoma mouse model, we examined the efficacy of a novel engineered interleukin 2 (IL-2)-based cytokine variant immunotherapy.

methodsTo study immune responses and antitumor efficacy for human melanoma tumors, we developed an all-autologous humanized melanoma mouse model using clinically annotated, matched patient tumor cells and peripheral blood mononuclear cells (PBMCs). After inoculating immunodeficient NSG mice with patient tumors and an adoptive cell transfer of autologous PBMCs, mice were treated with anti-PD-1, a novel investigational engineered IL-2-based cytokine (nemvaleukin), or recombinant human IL-2 (rhIL-2). The pharmacodynamic effects and antitumor efficacy of these treatments were then evaluated. We used tumor cells and autologous PBMCs from patients with varying immunotherapy responses to both model the diversity of immunotherapy efficacy observed in the clinical setting and to recapitulate the heterogeneous nature of melanoma.

resultsOur model exhibited long-term survival of engrafted human PBMCs without developing graft-versus-host disease. Administration of an anti-PD-1 or nemvaleukin elicited antitumor responses in our model that were patient-specific and were found to parallel clinical responsiveness to checkpoint inhibitors. An evaluation of nemvaleukin-treated mice demonstrated increased tumor-infiltrating CD4

conclusionsOur model reproduces differential effects of immunotherapy in melanoma patients, capturing the inherent heterogeneity in clinical responses. Taken together, these data demonstrate our model's translatability for novel immunotherapies in melanoma patients. The data are also supportive for the continued clinical investigation of nemvaleukin as a novel immunotherapeutic for the treatment of melanoma.

Indexed as

Immune Checkpoint InhibitorsImmunotherapyInterleukin-2MelanomaSkin NeoplasmsXenograft Model Antitumor AssaysAnimalsAutograftsHumansMiceMice, Inbred NODImmune Checkpoint InhibitorsInterleukin-2cytokinesdrug therapy, combinationimmunotherapymelanoma

Identifiers

PMID38604813
PMCPMC11015209
OpenAlexW4394759525

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.