Evidence map›Paper›PMID 33294862›Full record

ArticleCell reports. Medicine2020

Combined TCR Repertoire Profiles and Blood Cell Phenotypes Predict Melanoma Patient Response to Personalized Neoantigen Therapy plus Anti-PD-1.

Asaf Poran, Julian Scherer, Meghan E Bushway, Rana Besada, Kristen N Balogh, Amy Wanamaker, Reid G Williams, Jasmina Prabhakara, Patrick A Ott, Siwen Hu-Lieskovan and 4 more

Open access · goldAbstract readClinical Trial, Phase I
In one paragraph

Article in Cell reports. Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 8% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Maintenance Pembrolizumab Therapy in Patients with Metastatic HER2-negative Breast Cancer with Prior Response to Chemotherapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Trial
  4. Trial
  5. Trial
  6. Article
  7. Review
  8. Review
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  10. Review
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  12. Mapping T cell infiltration patterns in glioma tumor tissue.medRxiv : the preprint server for health sciences · 2025
    Article
  13. Article
  14. Review
  15. Article
  16. Leveraging T cells for cancer immunotherapy.Immunity & inflammation · 2025
    Review
  17. Article
  18. Article
  19. Review
  20. Efficacy of Nivolumab in Pediatric Cancers with High Mutation Burden and Mismatch Repair Deficiency.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
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

14 authors at 3 institutions in 1 country.

Asaf PoranNeon Therapeutics/BioNTech US, Cambridge, MA, USA.
Julian SchererNeon Therapeutics/BioNTech US, Cambridge, MA, USA.
Meghan E BushwayNeon Therapeutics/BioNTech US, Cambridge, MA, USA.
Rana BesadaNeon Therapeutics/BioNTech US, Cambridge, MA, USA.
Kristen N BaloghNeon Therapeutics/BioNTech US, Cambridge, MA, USA.
Amy WanamakerNeon Therapeutics/BioNTech US, Cambridge, MA, USA.
Reid G WilliamsNeon Therapeutics/BioNTech US, Cambridge, MA, USA.
Jasmina PrabhakaraNeon Therapeutics/BioNTech US, Cambridge, MA, USA.
Patrick A OttDana Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.
Siwen Hu-LieskovanDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Zakaria S KhondkerNeon Therapeutics/BioNTech US, Cambridge, MA, USA.
Richard B GaynorNeon Therapeutics/BioNTech US, Cambridge, MA, USA.
Michael S RooneyNeon Therapeutics/BioNTech US, Cambridge, MA, USA.
Lakshmi SrinivasanNeon Therapeutics/BioNTech US, Cambridge, MA, USA.
BioNTech (United States) · USBrigham and Women's Hospital · USUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T cells use highly diverse receptors (TCRs) to identify tumor cells presenting neoantigens arising from genetic mutations and establish anti-tumor activity. Immunotherapy harnessing neoantigen-specific T cells to target tumors has emerged as a promising clinical approach. To assess whether a comprehensive peripheral mononuclear blood cell analysis predicts responses to a personalized neoantigen cancer vaccine combined with anti-PD-1 therapy, we characterize the TCR repertoires and T and B cell frequencies in 21 patients with metastatic melanoma who received this regimen. TCR-α/β-chain sequencing reveals that prolonged progression-free survival (PFS) is strongly associated with increased clonal baseline TCR repertoires and longitudinal repertoire stability. Furthermore, the frequencies of antigen-experienced T and B cells in the peripheral blood correlate with repertoire characteristics. Analysis of these baseline immune features enables prediction of PFS following treatment. This method offers a pragmatic clinical approach to assess patients' immune state and to direct therapeutic decision making.

Indexed as

Antigens, NeoplasmBlood CellsB-LymphocytesCancer VaccinesCell LineCell Line, TumorFemaleHEK293 CellsHumansImmunotherapyJurkat CellsLongitudinal StudiesMaleMelanomaPhenotypeProgrammed Cell Death 1 ReceptorAntigens, NeoplasmCancer VaccinesPDCD1 protein, humanProgrammed Cell Death 1 ReceptorReceptors, Antigen, T-Cell, alpha-betaanti-PD-1cancer vaccinesflow cytometryimmunotherapymelanomaNEO-PV-01predictive biomarkersT cell clonalityTCR repertoire

Identifiers

PMID33294862
PMCPMC7691446
OpenAlexW3105791040

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.