Evidence map›Paper›PMID 28824608›Full record

ReviewFrontiers in immunology2017

Cancer Immunotherapy: Historical Perspective of a Clinical Revolution and Emerging Preclinical Animal Models.

William K Decker, Rodrigo F da Silva, Mayra H Sanabria, Laura S Angelo, Fernando Guimarães, Bryan M Burt, Farrah Kheradmand, Silke Paust

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 1 pooled it
21.4field-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

111 citing papers in PubMed, 1 synthesis or guideline pooled it, 228 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Introduction to the Immune System.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. From concept to cure: The evolution of CAR-T cell therapy.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  11. Article
  12. Immune checkpoint inhibitor-associated myocarditis: a historical and comprehensive review.American journal of physiology. Heart and circulatory physiology · 2025
    Review
  13. Cancer Vaccines: A Novel Revolutionized Approach to Cancer Therapy.Indian journal of clinical biochemistry : IJCB · 2025
    Review
  14. Review
  15. Cancer Immunotherapy-An Overview.Cancer treatment and research · 2025
    Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. Review

51 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

8 authors at 3 institutions in 2 countries.

William K DeckerDepartment of Pathology and Immunology, Baylor College of Medicine, Houston, TX, United States.
Rodrigo F da SilvaCenter for Human Immunobiology, Department of Pediatrics, Texas Children's Hospital, Houston, TX, United States.
Mayra H SanabriaCenter for Human Immunobiology, Department of Pediatrics, Texas Children's Hospital, Houston, TX, United States.
Laura S AngeloCenter for Human Immunobiology, Department of Pediatrics, Texas Children's Hospital, Houston, TX, United States.
Fernando GuimarãesWomen's Hospital - CAISM, University of Campinas, Campinas, Brazil.
Bryan M BurtDan L Duncan Cancer Center, Texas Children's Hospital, Houston, TX, United States.
Farrah KheradmandDepartment of Pathology and Immunology, Baylor College of Medicine, Houston, TX, United States.
Silke PaustDepartment of Pathology and Immunology, Baylor College of Medicine, Houston, TX, United States.
Texas Children's Hospital · USBaylor College of Medicine · USUniversidade Estadual de Campinas (UNICAMP) · BR

Funding

Regulation of Innate Dendritic Cell CTLA-4R01AI127387 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI WILLIAM Karl DECKER · 2017 to 2026
$3.9M
NIAID NIH HHS R01 AI127387
6 · The paper itself

Abstract

At the turn of the last century, the emerging field of medical oncology chose a cytotoxic approach to cancer therapy over an immune-centered approach at a time when evidence in support of either paradigm did not yet exist. Today, nearly 120 years of data have established that (a) even the best cytotoxic regimens only infrequently cure late-stage malignancy and (b) strategies that supplement and augment existing antitumor immune responses offer the greatest opportunities to potentiate durable remission in cancer. Despite widespread acceptance of these paradigms today, the ability of the immune system to recognize and fight cancer was a highly controversial topic for much of the twentieth century. Why this modern paradigmatic mainstay should have been both dubious and controversial for such an extended period is a topic of considerable interest that merits candid discussion. Herein, we review the literature to identify and describe the watershed events that ultimately led to the acceptance of immunotherapy as a viable regimen for the treatment of neoplastic malignancy. In addition to noting important clinical discoveries, we also focus on research milestones and the development of critical model systems in rodents and dogs including the advanced modeling techniques that allowed development of patient-derived xenografts. Together, their use will further our understanding of cancer biology and tumor immunology, allow for a speedier assessment of the efficacy and safety of novel approaches, and ultimately provide a faster bench to beside transition.

Indexed as

canine cancer modelscheckpoint blockadehistory of immunotherapymouse models of cancerpatient-derived xenograft modelstumor immune evasion

Identifiers

PMID28824608
PMCPMC5539135
OpenAlexW2741119937

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.