Evidence map›Paper›PMID 24891321›Full record

ArticleBlood2014

Systematic identification of personal tumor-specific neoantigens in chronic lymphocytic leukemia.

Mohini Rajasagi, Sachet A Shukla, Edward F Fritsch, Derin B Keskin, David DeLuca, Ellese Carmona, Wandi Zhang, Carrie Sougnez, Kristian Cibulskis, John Sidney and 9 more

Open access · greenAbstract read
In one paragraph

Article in Blood, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 201 papers.

0numbers the graph read from it
0cells of the map it votes in
201citing papers in PubMed
21.9field-weighted citation impact, top 1% 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

201 citing papers in PubMed, 305 citations in OpenAlex.

  1. Trial
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  5. Article
  6. Technical review of artificial intelligence in TCR-T therapy.Journal of the National Cancer Center · 2026
    Review
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  12. Molecular Insights into Tumor Immunogenicity.Current issues in molecular biology · 2025
    Article
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  15. Review
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141 more citing papers are in PubMed but not listed here.

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

19 authors at 7 institutions in 1 country.

Mohini RajasagiCancer Vaccine Center and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA;
Sachet A ShuklaCancer Vaccine Center and Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA;
Edward F FritschCancer Vaccine Center and Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA;
Derin B KeskinCancer Vaccine Center and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA;
David DeLucaCancer Vaccine Center and Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA;
Ellese CarmonaDivision of Medical Sciences: Biological and Biomedical Sciences, Harvard Medical School, Boston, MA;
Wandi ZhangCancer Vaccine Center and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA;
Carrie SougnezBroad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA;
Kristian CibulskisBroad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA;
John SidneyLa Jolla Institute for Allergy and Immunology, La Jolla, CA;
Kristen StevensonDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA;
Jerome RitzCancer Vaccine Center and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA;
Donna NeubergDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA;
Vladimir BrusicCancer Vaccine Center and.
Stacey GabrielBroad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA;
Eric S LanderBroad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA;
Gad GetzBroad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA; Massachusetts General Hospital Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA; and.
Nir HacohenBroad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA; The Division of Allergy, Immunology, and Rheumatology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Catherine J WuCancer Vaccine Center and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA;
Broad Institute · USDana-Farber Cancer Institute · USMassachusetts Institute of Technology · USBrigham and Women's Hospital · USHarvard University · USLa Jolla Institute for Immunology · USMassachusetts General Hospital · US

Funding

Large Scale Sequencing and Analysis of GenomesU54HG003067 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY, LANDER, ERIC S · 2004 to 2015
$568.6M
VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MATTHEW G. VANDER HEIDEN · 1985 to 2026
$93.9M
Tissue CoreP01CA081534 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KIPPS, THOMAS J · 2000 to 2016
$59.5M
Personal tumor neoantigens for immunity against chronic lymphocytic leukemiaR01CA155010 · NCI · DANA-FARBER CANCER INST · PI Catherine Ju-Ying Wu · 2011 to 2026
$9.6M
Manipulation of Immune Responsiveness after Hematopoietic Cell TransplantationR01CA183559 · NCI · DANA-FARBER CANCER INST · PI RITZ, JEROME, SOIFFER, ROBERT JON · 2013 to 2017
$3.7M
Reconstitution of Regulatory T Cells After Stem Cell TransplantationR01CA183560 · NCI · DANA-FARBER CANCER INST · PI RITZ, JEROME, SOIFFER, ROBERT JON · 2013 to 2017
$2.5M
Post-transplant vaccines to enhance graft-versus-leukemia responsesR01HL103532 · NHLBI · DANA-FARBER CANCER INST · PI WU, CATHERINE JU-YING · 2010 to 2013
$1.7M
NCI NIH HHS 1R01CA155010-02NCI NIH HHS P01 CA081534NCI NIH HHS P30 CA014051NCI NIH HHS R01 CA155010NCI NIH HHS R01 CA183559NCI NIH HHS R01 CA183560NHGRI NIH HHS U54 HG003067NHGRI NIH HHS U54HG003067NHLBI NIH HHS 5R01HL103532-03NHLBI NIH HHS R01 HL103532
6 · The paper itself

Abstract

Genome sequencing has revealed a large number of shared and personal somatic mutations across human cancers. In principle, any genetic alteration affecting a protein-coding region has the potential to generate mutated peptides that are presented by surface HLA class I proteins that might be recognized by cytotoxic T cells. To test this possibility, we implemented a streamlined approach for the prediction and validation of such neoantigens derived from individual tumors and presented by patient-specific HLA alleles. We applied our computational pipeline to 91 chronic lymphocytic leukemias (CLLs) that underwent whole-exome sequencing (WES). We predicted ∼22 mutated HLA-binding peptides per leukemia (derived from ∼16 missense mutations) and experimentally confirmed HLA binding for ∼55% of such peptides. Two CLL patients that achieved long-term remission following allogeneic hematopoietic stem cell transplantation were monitored for CD8(+) T-cell responses against predicted or confirmed HLA-binding peptides. Long-lived cytotoxic T-cell responses were detected against peptides generated from personal tumor mutations in ALMS1, C6ORF89, and FNDC3B presented on tumor cells. Finally, we applied our computational pipeline to WES data (N = 2488 samples) across 13 different cancer types and estimated dozens to thousands of predicted neoantigens per individual tumor, suggesting that neoantigens are frequent in most tumors.

Indexed as

MutationAntigens, NeoplasmCancer VaccinesEpitopes, T-LymphocyteExomeFemaleHLA AntigensHumansImmunologic MemoryLeukemia, Lymphocytic, Chronic, B-CellMalePrecision MedicineProtein BindingT-Lymphocytes, CytotoxicAntigens, NeoplasmCancer VaccinesEpitopes, T-LymphocyteHLA Antigens

Identifiers

PMID24891321
PMCPMC4102716
OpenAlexW2099023072

What OpenQuestion holds

Textmetadata
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.