Evidence map›Paper›PMID 28482851›Full record

ReviewJournal of hematology & oncology2017

Checkpoint inhibitors in hematological malignancies.

Chi Young Ok, Ken H Young

Open access · goldAbstract readReview
In one paragraph

Review in Journal of hematology & oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

84 citing papers in PubMed, 130 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. FAPαAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Review
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  11. Review
  12. Article
  13. Article
  14. Review
  15. CD34International journal of hematology · 2025
    Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article

24 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

2 authors at 1 institution in 1 country.

Chi Young OkDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030-4009, USA. cok@mdanderson.org.ORCID 0000-0002-6822-7880
Ken H YoungDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030-4009, USA.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Convergence of MicroRNAs and p53 Signaling in Multiple Myeloma: Environmental CoR01CA138688 · NCI · UNIVERSITY OF LOUISVILLE · PI LI, YONG · 2009 to 2017
$2.9M
Deep Sequencing of Small Regulatory RNAs in Diffuse Large B cell LymphomaRC1CA146299 · NCI · SCRIPPS RESEARCH INSTITUTE, THE · PI XIAO, CHANGCHUN · 2009 to 2010
$1000k
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA138688NCI NIH HHS RC1 CA146299
6 · The paper itself

Abstract

Inhibitory molecules such as PD-1, CTLA-4, LAG-3, or TIM-3 play a role to keep a balance in immune function. However, many cancers exploit such molecules to escape immune surveillance. Accumulating data support that their functions are dysregulated in lymphoid neoplasms, including plasma cell myeloma, myelodysplastic syndrome, and acute myeloid leukemia. In lymphoid neoplasms, aberrations in 9p24.1 (PD-L1, PD-L2, and JAK2 locus), latent Epstein-Barr virus infection, PD-L1 3'-untranslated region disruption, and constitutive JAK-STAT pathway are known mechanisms to induce PD-L1 expression in lymphoma cells. Clinical trials demonstrated that PD-1 blockade is an attractive way to restore host's immune function in hematological malignancies, particularly classical Hodgkin lymphoma. Numerous clinical trials exploring PD-1 blockade as a single therapy or in combination with other immune checkpoint inhibitors in patients with hematologic cancers are under way. Although impressive clinical response is observed with immune checkpoint inhibitors in patients with certain cancers, not all patients respond to immune checkpoint inhibitors. Therefore, to identify best candidates who would have excellent response to checkpoint inhibitors is of utmost importance. Several possible biomarkers are available, but consensus has not been made and pursuit to discover the best biomarker is ongoing.

Indexed as

Molecular Targeted TherapyAntigen-Presenting CellsAntigens, CDAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorClinical Trials as TopicCTLA-4 AntigenHematologic NeoplasmsHepatitis A Virus Cellular Receptor 2HumansLymphocyte ActivationLymphocyte Activation Gene 3 ProteinMulticenter Studies as TopicNeoplasm ProteinsPatient SelectionAntigens, CDAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorCD274 protein, humanCTLA-4 AntigenCTLA4 protein, humanHAVCR2 protein, humanHepatitis A Virus Cellular Receptor 2Lag3 protein, humanLymphocyte Activation Gene 3 ProteinNeoplasm ProteinsPDCD1 protein, humanProgrammed Cell Death 1 ReceptorCTLA-4Hematologic malignanciesImmune checkpointPD-1PD-L1PD-L2

Identifiers

PMID28482851
PMCPMC5422942
OpenAlexW2614086758

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.