Evidence map›Paper›PMID 31775882›Full record

ReviewJournal for immunotherapy of cancer2019

Peripheral immune-based biomarkers in cancer immunotherapy: can we realize their predictive potential?

Andrew B Nixon, Kurt A Schalper, Ira Jacobs, Shobha Potluri, I-Ming Wang, Catherine Fleener

Abstract readReview
In one paragraph

Review in Journal for immunotherapy of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed
–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

94 citing papers in PubMed.

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  14. Salivary biomarkers: a promising approach for predicting immunotherapy response in head and neck cancers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review
  15. Natural killer cells: the immune frontline against circulating tumor cells.Journal of experimental & clinical cancer research : CR · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Observational
  20. Article

34 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

6 authors.

Andrew B NixonDuke University School of Medicine, Department of Medicine/Medical Oncology, 133 Jones Building, Research Drive, Durham, NC, 27710, USA. andrew.nixon@duke.edu.
Kurt A SchalperYale School of Medicine, Translational Immuno-Oncology Laboratory, Yale Cancer Center, 333 Cedar St. FMP117, New Haven, CT, 06520-8023, USA.
Ira JacobsPfizer Inc, Early Oncology Development and Clinical Research, 219 East 42nd St, New York, NY, 10017-5755, USA.
Shobha PotluriPfizer Inc., Computational Biology, 230 E Grand Ave, South San Francisco, CA, 94080, USA.
I-Ming WangPfizer Inc., 10777 Science Center Dr., San Diego, CA, 92121, USA.
Catherine FleenerPfizer Inc., Translational Oncology, La Jolla, CA, USA.

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI JOHN N. NORTON · 1985 to 2026
$174.8M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863NCI NIH HHS P30 CA014236
6 · The paper itself

Abstract

The immunologic landscape of the host and tumor play key roles in determining how patients will benefit from immunotherapy, and a better understanding of these factors could help inform how well a tumor responds to treatment. Recent advances in immunotherapy and in our understanding of the immune system have revolutionized the treatment landscape for many advanced cancers. Notably, the use of immune checkpoint inhibitors has demonstrated durable responses in various malignancies. However, the response to such treatments is variable and currently unpredictable, the availability of predictive biomarkers is limited, and a substantial proportion of patients do not respond to immune checkpoint therapy. Identification and investigation of potential biomarkers that may predict sensitivity to immunotherapy is an area of active research. It is envisaged that a deeper understanding of immunity will aid in harnessing the full potential of immunotherapy, and allow appropriate patients to receive the most appropriate treatments. In addition to the identification of new biomarkers, the platforms and assays required to accurately and reproducibly measure biomarkers play a key role in ensuring consistency of measurement both within and between patients. In this review we discuss the current knowledge in the area of peripheral immune-based biomarkers, drawing information from the results of recent clinical studies of a number of different immunotherapy modalities in the treatment of cancer, including checkpoint inhibitors, bispecific antibodies, chimeric antigen receptor T cells, and anti-cancer vaccines. We also discuss the various technologies and approaches used in detecting and measuring circulatory biomarkers and the ongoing need for harmonization.

Indexed as

Biomarkers, TumorImmunityImmunotherapyMolecular Targeted TherapyAnimalsAntineoplastic Agents, ImmunologicalCancer VaccinesHumansImmunotherapy, AdoptiveNeoplasmsTreatment OutcomeTumor MicroenvironmentAntineoplastic Agents, ImmunologicalBiomarkers, TumorCancer VaccinesBiomarkersImmunologyImmunotherapyOncologyPeripheral blood

Identifiers

PMID31775882
PMCPMC6880594

What OpenQuestion holds

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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.