Evidence map›Paper›PMID 28410299›Full record

ReviewCancer journal (Sudbury, Mass.)

Antigen Discovery and Therapeutic Targeting in Hematologic Malignancies.

David A Braun, Catherine J Wu

Abstract readReview
In one paragraph

Review in Cancer journal (Sudbury, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. 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

2 authors at 2 institutions in 1 country.

David A BraunFrom the *Department of Medical Oncology, Dana-Farber Cancer Institute; †Department of Medicine, Brigham and Women's Hospital, Harvard Medical School; and ‡Massachusetts General Hospital Cancer Center, Boston; and §Broad Institute of MIT and Harvard, Cambridge, MA.
Catherine J Wu
Broad Institute · USHarvard University · US

Funding

Personal tumor neoantigens for immunity against chronic lymphocytic leukemiaR01CA155010 · NCI · DANA-FARBER CANCER INST · PI Catherine Ju-Ying Wu · 2011 to 2026
$9.6M
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 R01 CA155010NHLBI NIH HHS R01 HL103532
6 · The paper itself

Abstract

Historically, immune-based therapies have played a leading role in the treatment of hematologic malignancies, with the efficacy of stem cell transplantation largely attributable to donor immunity against malignant cells. As new and more targeted immunotherapies have developed, their role in the treatment of hematologic malignancies is evolving and expanding. Herein, we discuss approaches for antigen discovery and review known and novel tumor antigens in hematologic malignancies. We further explore the role of established and investigational immunotherapies in hematologic malignancies, with a focus on personalization of treatment modalities such as cancer vaccines and adoptive cell therapy. Finally, we identify areas of active investigation and development. Immunotherapy is at an exciting crossroads for the treatment of hematologic malignancies, with further investigation aimed at producing effective, targeted immune therapies that maximize antitumor effects while minimizing toxicity.

Indexed as

Antigens, NeoplasmHematologic NeoplasmsHumansImmunotherapyAntigens, Neoplasm

Identifiers

PMID28410299
PMCPMC5856170
OpenAlexW2605607550

What OpenQuestion holds

Textmetadata
LicenceTDM
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.