Evidence map›Paper›PMID 36304942›Full record

ArticleCancer research communications2022

Peripheral Blood Monocyte Abundance Predicts Outcomes in Patients with Breast Cancer.

Margaret L Axelrod, Yu Wang, Yaomin Xu, Xiaopeng Sun, Cosmin A Bejan, Paula I Gonzalez-Ericsson, Sara Nunnery, Riley E Bergman, Joshua Donaldson, Angel L Guerrero-Zotano and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cancer research communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Review
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  8. Increased blood CSF3RAmerican journal of cancer research · 2024
    Article
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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

15 authors at 3 institutions in 3 countries.

Margaret L AxelrodDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Yu WangDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
Yaomin XuDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
Xiaopeng SunDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Cosmin A BejanDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.
Paula I Gonzalez-EricssonBreast Cancer Research Program, Vanderbilt University Medical Center, Nashville, Tennessee.
Sara NunneryDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Riley E BergmanDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Joshua DonaldsonDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Angel L Guerrero-ZotanoMedical Oncology Department, Instituto Valenciano de Oncología, Valencia, Spain.
Chiara MassaInstitute of Medical Immunology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Barbara SeligerInstitute of Medical Immunology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Melinda SandersBreast Cancer Research Program, Vanderbilt University Medical Center, Nashville, Tennessee.
Ingrid A MayerDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Justin M BalkoDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Vanderbilt University Medical Center · USMartin Luther University Halle-Wittenberg · DEFundación Instituto Valenciano de Oncología · ES

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
TISSUE CoreP50CA098131 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PARK, BEN HO, PIETENPOL, JENNIFER A · 2003 to 2024
$48.7M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Vanderbilt Clinical Oncology Research Career Development ProgramK12CA090625 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Debra L. Friedman, Paula Jill Hurley · 2001 to 2026
$16.9M
Medical Scientist Training ProgramT32GM152284 · NIGMS · VANDERBILT UNIVERSITY · PI Christopher S. Williams · 2024 to 2026
$4.8M
VOLT (Vanderbilt Oncology Training Program)T32CA217834 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Debra L. Friedman, Douglas B Johnson · 2018 to 2026
$2.7M
Dusp4 in breast cancer: tumor suppressor biology and therapeutic strategiesR00CA181491 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BALKO, JUSTIN M · 2015 to 2017
$750k
Modulation of the anti-tumor immune response by Major Histocompatibility Class-II expression on tumor cellsF30CA236157 · NCI · VANDERBILT UNIVERSITY · PI AXELROD, MARGARET · 2019 to 2021
$133k
NCI NIH HHS F30 CA236157NCI NIH HHS K12 CA090625NCI NIH HHS P30 CA068485NCI NIH HHS P50 CA098131NCI NIH HHS R00 CA181491NCI NIH HHS T32 CA217834NIGMS NIH HHS T32 GM007347NIGMS NIH HHS T32 GM152284
6 · The paper itself

Abstract

Biomarkers of response are needed in breast cancer to stratify patients to appropriate therapies and avoid unnecessary toxicity. We used peripheral blood gene expression and cell type abundance to identify biomarkers of response and recurrence in neoadjuvant chemotherapy treated breast cancer patients. We identified a signature of interferon and complement response that was higher in the blood of patients with pathologic complete response. This signature was preferentially expressed by monocytes in single cell RNA sequencing. Monocytes are routinely measured clinically, enabling examination of clinically measured monocytes in multiple independent cohorts. We found that peripheral monocytes were higher in patients with good outcomes in four cohorts of breast cancer patients. Blood gene expression and cell type abundance biomarkers may be useful for prognostication in breast cancer. Significance: Biomarkers are needed in breast cancer to identify patients at risk for recurrence. Blood is an attractive site for biomarker identification due to the relative ease of longitudinal sampling. Our study suggests that blood-based gene expression and cell type abundance biomarkers may have clinical utility in breast cancer.

Indexed as

Breast NeoplasmsBiomarkersFemaleHumansLeukocytes, MononuclearMonocytesNeoadjuvant TherapyBiomarkers

Identifiers

PMID36304942
PMCPMC9604512
OpenAlexW4226496690

What OpenQuestion holds

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LicenceCC BY
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.