Evidence map›Paper›PMID 33038342›Full record

ArticleCell2020

Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction.

Daniel K Wells, Marit M van Buuren, Kristen K Dang, Vanessa M Hubbard-Lucey, Kathleen C F Sheehan, Katie M Campbell, Andrew Lamb, Jeffrey P Ward, John Sidney, Ana B Blazquez and 27 more

Registry-linked trialAbstract read
In one paragraph

Article in Cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07686744 (A Phase I Clinical Trial of Personalized Neoantigen Peptide Vaccine in Combination With Pembrolizumab for the Safety and Efficacy in Patients With Advanced, Recurrent or Refractory Renal Cell Carcinoma), which is not on this map. Cited by 356 papers.

0numbers the graph read from it
0cells of the map it votes in
356citing papers in PubMed
–field-weighted citation impact
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.

NCT07686744 phase1not yet recruitingnot on this mapstarted 2026, after this paper: background citation

A Phase I Clinical Trial of Personalized Neoantigen Peptide Vaccine in Combination With Pembrolizumab for the Safety and Efficacy in Patients With Advanced, Recurrent or Refractory Renal Cell Carcinoma

TypeinterventionalSponsorJian LinRan2026 to 2029Enrolled8ConditionsRenal Cell Carcinoma, Advanced, Recurrent, RefractoryArmsPersonalized Neoantigen Polyepitope Peptide Vaccine
3 · Its place in the literature

Who cites it

356 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Review
  5. Predicting Neoantigen Immunogenicity frombioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Technical review of artificial intelligence in TCR-T therapy.Journal of the National Cancer Center · 2026
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

296 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

37 authors.

Daniel K WellsParker Institute for Cancer Immunotherapy, San Francisco, CA, USA. Electronic address: dwells@parkerici.org.
Marit M van BuurenDivision of Molecular Oncology and Immunology, the Netherlands Cancer Institute, Amsterdam, the Netherlands; T Cell Immunology, Biopharmaceutical New Technologies (BioNTech) Corporation, BioNTech US, Cambridge, MA, USA.
Kristen K DangComputational Oncology, Sage Bionetworks, Seattle, WA, USA.
Vanessa M Hubbard-LuceyAnna-Maria Kellen Clinical Accelerator, Cancer Research Institute, New York, NY, USA.
Kathleen C F SheehanDepartment of Pathology and Immunology, Washington University School of Medicine, St. Louis, St. Louis, MO, USA; The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA.
Katie M CampbellDivision of Hematology and Oncology, Department of Medicine, Johnson Comprehensive Cancer Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Andrew LambComputational Oncology, Sage Bionetworks, Seattle, WA, USA.
Jeffrey P WardDivision of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA.
John SidneyDivision of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA.
Ana B BlazquezDivision of Hematology and Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Andrew J RechParker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Jesse M ZaretskyDivision of Hematology and Oncology, Department of Medicine, Johnson Comprehensive Cancer Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Begonya Comin-AnduixParker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Department of Surgery, David Geffen School of Medicine, Johnson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA.
Alphonsus H C NgInstitute for Systems Biology, Seattle, WA, USA.
William ChourDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Thomas V YuComputational Oncology, Sage Bionetworks, Seattle, WA, USA.
Hira RizviDruckenmiller Center for Lung Cancer Research, MSKCC, New York, NY, USA.
Jia M ChenDivision of Hematology and Oncology, Department of Medicine, Johnson Comprehensive Cancer Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Patrice ManningParker Institute for Cancer Immunotherapy, San Francisco, CA, USA.
Gabriela M SteinerParker Institute for Cancer Immunotherapy, San Francisco, CA, USA.
Xengie C DoanComputational Oncology, Sage Bionetworks, Seattle, WA, USA.
Tumor Neoantigen Selection Alliance
Taha MerghoubParker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Department of Medicine, MSKCC, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA.
Justin GuinneyComputational Oncology, Sage Bionetworks, Seattle, WA, USA; Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA.
Adam KolomParker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Anna-Maria Kellen Clinical Accelerator, Cancer Research Institute, New York, NY, USA.
Cheryl SelinskyParker Institute for Cancer Immunotherapy, San Francisco, CA, USA.
Antoni RibasParker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Division of Hematology and Oncology, Department of Medicine, Johnson Comprehensive Cancer Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA.
Matthew D HellmannParker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Druckenmiller Center for Lung Cancer Research, MSKCC, New York, NY, USA; Department of Medicine, MSKCC, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA.
Nir HacohenBroad Institute of MIT and Harvard, Cambridge, MA, USA; Massachusetts General Hospital Cancer Center, Boston, MA, USA.
Alessandro SetteDivision of Hematology and Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Medicine, University of California, San Diego, La Jolla, CA, USA.
James R HeathParker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Institute for Systems Biology, Seattle, WA, USA.
Nina BhardwajParker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Division of Hematology and Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Fred RamsdellParker Institute for Cancer Immunotherapy, San Francisco, CA, USA.
Robert D SchreiberParker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, St. Louis, MO, USA; The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA.
Ton N SchumacherDivision of Molecular Oncology and Immunology, Oncode Institute, the Netherlands Cancer Institute, Amsterdam, the Netherlands.
Pia KvistborgDivision of Molecular Oncology and Immunology, the Netherlands Cancer Institute, Amsterdam, the Netherlands.
Nadine A DefranouxParker Institute for Cancer Immunotherapy, San Francisco, CA, USA. Electronic address: ndefranoux@parkerici.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Robert Damoiseaux · 1985 to 2026
$134.5M
Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
UCLA Tumor Immunology Training ProgramT32CA009120 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Steven M. Dubinett, MICHAEL A TEITELL · 1985 to 2026
$10.3M
Immunogenomic analytical approaches for research and clinical applicationsR50CA211482 · NCI · DANA-FARBER CANCER INST · PI SHUKLA, SACHET ASHOK · 2016 to 2020
$1.3M
Development of a pipeline tool to predict immunogenicity of cancer neo-epitopesR21AI134127 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI PETERS, BJOERN, SETTE, ALESSANDRO · 2018 to 2019
$495k
NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA016042NCI NIH HHS P30 CA091842NCI NIH HHS R50 CA211482NCI NIH HHS T32 CA009120NHGRI NIH HHS T32 HG002295NIAID NIH HHS R21 AI134127NIGMS NIH HHS T32 GM008042
6 · The paper itself

Abstract

Many approaches to identify therapeutically relevant neoantigens couple tumor sequencing with bioinformatic algorithms and inferred rules of tumor epitope immunogenicity. However, there are no reference data to compare these approaches, and the parameters governing tumor epitope immunogenicity remain unclear. Here, we assembled a global consortium wherein each participant predicted immunogenic epitopes from shared tumor sequencing data. 608 epitopes were subsequently assessed for T cell binding in patient-matched samples. By integrating peptide features associated with presentation and recognition, we developed a model of tumor epitope immunogenicity that filtered out 98% of non-immunogenic peptides with a precision above 0.70. Pipelines prioritizing model features had superior performance, and pipeline alterations leveraging them improved prediction performance. These findings were validated in an independent cohort of 310 epitopes prioritized from tumor sequencing data and assessed for T cell binding. This data resource enables identification of parameters underlying effective anti-tumor immunity and is available to the research community.

Indexed as

AllelesAntigen PresentationAntigens, NeoplasmCohort StudiesEpitopesHumansNeoplasmsPeptidesProgrammed Cell Death 1 ReceptorReproducibility of ResultsAntigens, NeoplasmEpitopesPeptidesProgrammed Cell Death 1 ReceptorepitopeimmunogenicityimmunogenomicsimmunotherapyneoantigenTESLA

Identifiers

PMID33038342
PMCPMC7652061

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Registered trials

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.