Evidence map›Paper›PMID 27873079›Full record

ReviewCancer metastasis reviews2017

Next generation predictive biomarkers for immune checkpoint inhibition.

Yulian Khagi, Razelle Kurzrock, Sandip Pravin Patel

Abstract readReview
In one paragraph

Review in Cancer metastasis reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

68 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. A Phase II Basket Trial of Dual Anti-CTLA-4 and Anti-PD-1 Blockade in Rare Tumors (DART SWOG 1609) in Patients with Nonpancreatic Neuroendocrine Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020
    Trial
  5. Review
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  9. Novel Therapeutics for Hepatocellular Carcinoma.Clinics in liver disease · 2025
    Review
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  19. Molecular cancer therapeutics · 2021
    Review
  20. Review

8 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

3 authors.

Yulian KhagiCenter for Personalized Cancer Therapy, Division of Hematology and Oncology, University of California San Diego Moores Cancer Center, 3855 Health Sciences Dr., La Jolla, CA, 92093, USA. ykhagi@ucsd.edu.
Razelle KurzrockCenter for Personalized Cancer Therapy, Division of Hematology and Oncology, University of California San Diego Moores Cancer Center, 3855 Health Sciences Dr., La Jolla, CA, 92093, USA.
Sandip Pravin PatelCenter for Personalized Cancer Therapy, Division of Hematology and Oncology, University of California San Diego Moores Cancer Center, 3855 Health Sciences Dr., La Jolla, CA, 92093, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

With the advent of targeted therapies, there has been a revolution in the treatment of cancer across multiple histologies. Immune checkpoint blockade has made it possible to take advantage of receptor-ligand interactions between immune and tumor cells in a wide spectrum of malignancies. Toxicity in healthy tissue, however, can limit our use of these agents. Immune checkpoint blockade has been approved in advanced melanoma, renal cell cancer, non-small cell lung cancer, relapsed refractory Hodgkin's lymphoma, and urothelial cancer. Though FDA-approved indications for use of some of these novel agents depend on current protein-based programmed death 1 (PD-1) and programmed death ligand 1 (PD-L1) assays, detection methods come with several caveats. Additional predictive tools must be interrogated to discern responders from non-responders. Some of these include measurement of microsatellite instability, PD-L1 amplification, cluster of differentiation 8 (CD8) infiltrate density, and tumor mutational burden. This review serves to synthesize biomarker detection at the DNA, RNA, and protein level to more accurately forecast benefit from these novel agents.

Indexed as

AnimalsB7-H1 AntigenBiomarkers, TumorCTLA-4 AntigenHumansNeoplasmsProgrammed Cell Death 1 ReceptorB7-H1 AntigenBiomarkers, TumorCTLA-4 AntigenProgrammed Cell Death 1 ReceptorCheckpoint inhibitorImmunooncologyNeoantigen presentationPredictive biomarkerTumor microenvironmentTumor mutational burden

Identifiers

PMID27873079
PMCPMC5385298

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.