Evidence map›Paper›PMID 27836246›Full record

ReviewUrologic oncology2016

Emerging role of immunotherapy in urothelial carcinoma-Immunobiology/biomarkers.

Randy F Sweis, Matthew D Galsky

Open access · greenAbstract readReview
In one paragraph

Review in Urologic oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. The Tumor Immune Microenvironment in Clear Cell Renal Cell Carcinoma.International journal of molecular sciences · 2023
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Unmasking molecular profiles of bladder cancer.Investigative and clinical urology · 2018
    Review
  17. Review
  18. Article
  19. Biomarkers for immunotherapy in bladder cancer: a moving target.Journal for immunotherapy of cancer · 2017
    Review
  20. Article
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.

Randy F SweisSection of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL.
Matthew D GalskyDivision of Hematology & Medical Oncology, The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY. Electronic address: matthew.galsky@mssm.edu.
Icahn School of Medicine at Mount Sinai · USUniversity of Chicago · US

Funding

BASIC RESEARCH TRAINING IN MEDICAL ONCOLOGYT32CA009566 · NCI · UNIVERSITY OF CHICAGO · PI OLUFUNMILAYO F. OLOPADE · 1987 to 2026
$10.5M
CLINICAL THERAPEUTICST32GM007019 · NIGMS · UNIVERSITY OF CHICAGO · PI Peter Hugh O'Donnell, MARK J RATAIN · 1985 to 2026
$8.7M
NCI NIH HHS T32 CA009566NIGMS NIH HHS T32 GM007019
6 · The paper itself

Abstract

Urothelial bladder cancer is one of the first cancers recognized to be immunogenic since 40 years ago when the use of bacillus Calmette-Guerin was shown to prevent recurrence. Since that time, our knowledge of immune biology of cancer has expanded tremendously, and patients with bladder cancer finally have new active immunotherapeutic drugs on the horizon. Anti-programmed cell death-1 (PD-1)/programmed cell death ligand-1 (PD-L1) therapy has shown impressively durable responses in urothelial bladder cancer (UBC), but the reported response rates warrant improvement. To outline potential strategies to overcome tumor immune resistance, herein, we summarize current models of tumor immunology with a specific focus on bladder cancer. Recognition of tumor-specific antigens through cross-presentation, T-cell priming and activation, and trafficking of immune cells to the tumor microenvironment are some of the critical steps we now understand to be necessary for an effective antitumor immune response. Many of the involved steps are important targets for therapeutic interventions. As new immunotherapies are developed, predictive biomarkers would also be important to select patients most likely to respond and to better understand tumor biology. Several potential biomarkers are reviewed including PD-L1 expression, identification of T-cell-inflamed/non-T-cell-inflamed tumors based on immune gene expression, intrinsic molecular subtyping based on luminal/basal or the cancer genome atlas (TCGA) groups, T-cell receptor sequencing, and somatic mutational density. Even within the past few years, our current knowledge of immune biology has exploded, and we are highly optimistic about the future of UBC therapy that will be available to patients.

Indexed as

ImmunotherapyMolecular Targeted TherapyAdjuvants, ImmunologicAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntigen-Presenting CellsAntigens, NeoplasmAntineoplastic Agents, ImmunologicalB7-H1 AntigenCarcinoma, Transitional CellClinical Trials as TopicCostimulatory and Inhibitory T-Cell ReceptorsHumansLymphocyte ActivationLymphocytes, Tumor-InfiltratingMutationAdjuvants, ImmunologicAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntigens, NeoplasmAntineoplastic Agents, ImmunologicalatezolizumabB7-H1 AntigenCD274 protein, humanCostimulatory and Inhibitory T-Cell ReceptorsNeoplasm ProteinsPDCD1 protein, humanProgrammed Cell Death 1 ReceptorReceptors, Antigen, T-CellBiomarkersBladder cancerImmune checkpoint therapyImmunologyUrothelial cancer

Identifiers

PMID27836246
PMCPMC5709811
OpenAlexW2556766021

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.