Evidence map›Paper›PMID 31417550›Full record

ArticleFrontiers in immunology2019

Examining Peripheral and Tumor Cellular Immunome in Patients With Cancer.

Eda K Holl, Victoria N Frazier, Karenia Landa, Georgia M Beasley, E Shelley Hwang, Smita K Nair

Abstract read
In one paragraph

Article in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Trial
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  4. Article
  5. Article
  6. Reengineered Anti-CD4 Cys-diabody Variants forMolecular imaging and biology · 2025
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Genetic variants ofFrontiers in immunology · 2024
    Article
  17. Article
  18. Association betweenCancers · 2023
    Article
  19. Article
  20. Review
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.

Eda K HollDepartment of Surgery, Duke University, Durham, NC, United States.
Victoria N FrazierDepartment of Surgery, Duke University, Durham, NC, United States.
Karenia LandaDepartment of Surgery, Duke University, Durham, NC, United States.
Georgia M BeasleyDepartment of Surgery, Duke University, Durham, NC, United States.
E Shelley HwangDepartment of Surgery, Duke University, Durham, NC, United States.
Smita K NairDepartment of Surgery, Duke University, Durham, NC, United States.

Funding

Translational Research in Surgical OncologyT32CA093245 · NCI · DUKE UNIVERSITY · PI ALLEN, PETER J, HARPOLE, DAVID H. · 2002 to 2020
$5.2M
NCI NIH HHS T32 CA093245
6 · The paper itself

Abstract

Immunotherapies are rapidly being integrated into standard of care (SOC) therapy in conjunction with surgery, chemotherapy, and radiotherapy for many cancers and a large number of clinical studies continue to explore immunotherapy alone and as part of combination therapies in patients with cancer. It is evident that clinical effectiveness of immunotherapy is limited to a subset of patients and improving immunotherapy related outcomes remains a major scientific and clinical effort. Understanding the immune cell subset phenotype and activation/functional status (cellular immunome) prior to and post therapy is therefore critical to develop biomarkers that (1) will predict if a patient will respond to immunotherapy and (2) are a result of immunotherapy. In this study, we investigated local (tumor) and peripheral (blood) cellular immunome of patients with melanoma, breast cancer, and brain cancer using a rapid and reliable standardized, multiparameter flow cytometry assay. We used this approach to monitor changes in the peripheral cellular immunome in women with breast cancer undergoing SOC therapy. Our analysis is unique because it is conducted using matched fresh tumor tissue and blood from patients in real-time, within 2-3 h of sample acquisition, and provides insight into the innate and adaptive immune cell profile in blood and tumor. Specific to blood, this approach involves no manipulation and evaluates all immune subsets such as T cells, B cells, natural killer (NK) cells, monocytes, dendritic cells (DCs), neutrophils, eosinophils, and basophils using 0.5 ml of blood. Analysis of the corresponding tumor provides much needed insight into the phenotype and activation status of immune cells, especially T and B cells, in the tumor microenvironment vs. the periphery. This analysis will be used to assess baseline and therapy-mediated changes in local and peripheral cellular immunome in patients with glioblastoma, breast cancer, and melanoma in planned immunotherapy clinical studies.

Indexed as

Flow CytometryImmunity, CellularFemaleHumansLeukocytesMaleNeoplasmscancer immunotherapycell subsetscellular immunomeflow cytometryimmune biomarkersimmune monitoring

Identifiers

PMID31417550
PMCPMC6685102

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Registered trials

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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.