Evidence map›Paper›PMID 24844912›Full record

Trial reportCancer immunology research2014

Computational algorithm-driven evaluation of monocytic myeloid-derived suppressor cell frequency for prediction of clinical outcomes.

Shigehisa Kitano, Michael A Postow, Carly G K Ziegler, Deborah Kuk, Katherine S Panageas, Czrina Cortez, Teresa Rasalan, Mathew Adamow, Jianda Yuan, Philip Wong and 3 more

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in Cancer immunology research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 2 pooled it
7.7field-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

77 citing papers in PubMed, 2 syntheses or guidelines pooled it, 135 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Immune Activation in Early-Stage Non-Small Cell Lung Cancer Patients Receiving Neoadjuvant Chemotherapy Plus Ipilimumab.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
    Trial
  4. Trial
  5. Article
  6. Article
  7. Harnessing myeloid cells in cancer.Molecular cancer · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Monocyte programming by cancer therapy.Frontiers in immunology · 2022
    Review
  18. Article
  19. Peripheral Blood-Based Biomarkers for Immune Checkpoint Inhibitors.International journal of molecular sciences · 2021
    Review
  20. Systemic immunity in cancer.Nature reviews. Cancer · 2021
    Review

17 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

13 authors at 5 institutions in 2 countries.

Shigehisa KitanoDepartment of Experimental Therapeutics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Tsukiji, Tokyo, Japan;
Michael A PostowMemorial Sloan-Kettering Cancer Center; Weill-Cornell Medical and Graduate Schools; and.
Carly G K ZieglerMemorial Sloan-Kettering Cancer Center;
Deborah KukMemorial Sloan-Kettering Cancer Center;
Katherine S PanageasMemorial Sloan-Kettering Cancer Center;
Czrina CortezMemorial Sloan-Kettering Cancer Center; Ludwig Collaborative and Swim Across America Lab, New York, New York.
Teresa RasalanLudwig Center for Cancer Immunotherapy; Memorial Sloan-Kettering Cancer Center; Ludwig Collaborative and Swim Across America Lab, New York, New York.
Mathew AdamowLudwig Center for Cancer Immunotherapy; Memorial Sloan-Kettering Cancer Center;
Jianda YuanLudwig Center for Cancer Immunotherapy; Memorial Sloan-Kettering Cancer Center;
Philip WongLudwig Center for Cancer Immunotherapy; Memorial Sloan-Kettering Cancer Center;
Gregoire Altan-BonnetMemorial Sloan-Kettering Cancer Center;
Jedd D WolchokLudwig Center for Cancer Immunotherapy; Memorial Sloan-Kettering Cancer Center; Weill-Cornell Medical and Graduate Schools; and Ludwig Collaborative and Swim Across America Lab, New York, New York.
Alexander M LesokhinMemorial Sloan-Kettering Cancer Center; Weill-Cornell Medical and Graduate Schools; and Ludwig Collaborative and Swim Across America Lab, New York, New York lesokhia@mskcc.org.
Kettering University · USMemorial Sloan Kettering Cancer Center · USCornell University · USNational Cancer Centre Japan · JPSwim Across America · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Summer research experiences for medical students supervised by faculty mentorsR25CA020449 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Charlotte Eielson Ariyan · 1985 to 2026
$6.2M
IMMUNIZATION AGAINST MELANOMA DIFFERENTIATION ANTIGENSR01CA056821 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI WOLCHOK, JEDD D. · 1992 to 2020
$5.7M
Defining the Importance of Immunity to NY-ESO-1 in Melanoma Therapy and PrognosisRC2CA148468 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI WOLCHOK, JEDD D. · 2009 to 2010
$1.9M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA056821NCI NIH HHS R25 CA020449NCI NIH HHS RC2 CA148468
6 · The paper itself

Abstract

Evaluation of myeloid-derived suppressor cells (MDSC), a cell type implicated in T-cell suppression, may inform immune status. However, a uniform methodology is necessary for prospective testing as a biomarker. We report the use of a computational algorithm-driven analysis of whole blood and cryopreserved samples for monocytic MDSC (m-MDSC) quantity that removes variables related to blood processing and user definitions. Applying these methods to samples from patients with melanoma identifies differing frequency distribution of m-MDSC relative to that in healthy donors. Patients with a pretreatment m-MDSC frequency outside a preliminary definition of healthy donor range (<14.9%) were significantly more likely to achieve prolonged overall survival following treatment with ipilimumab, an antibody that promotes T-cell activation and proliferation. m-MDSC frequencies were inversely correlated with peripheral CD8(+) T-cell expansion following ipilimumab. Algorithm-driven analysis may enable not only development of a novel pretreatment biomarker for ipilimumab therapy, but also prospective validation of peripheral blood m-MDSCs as a biomarker in multiple disease settings.

Indexed as

AlgorithmsAdultAgedAged, 80 and overAntibodies, MonoclonalAntineoplastic AgentsFemaleHLA-DR AntigensHumansIpilimumabLipopolysaccharide ReceptorsMaleMelanomaMiddle AgedMyeloid CellsAntibodies, MonoclonalAntineoplastic AgentsHLA-DR AntigensIpilimumabLipopolysaccharide Receptors

Identifiers

PMID24844912
PMCPMC4125466
OpenAlexW2147621820

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.