Evidence map›Paper›PMID 34771423›Full record

ArticleCancers2021

Elevated Level of Nerve Growth Factor (NGF) in Serum-Derived Exosomes Predicts Poor Survival in Patients with Breast Cancer Undergoing Neoadjuvant Chemotherapy.

Hae Hyun Jung, Ji-Yeon Kim, Eun Yoon Cho, Jung Min Oh, Jeong Eon Lee, Seok Won Kim, Seok Jin Nam, Yeon Hee Park, Jin Seok Ahn, Young-Hyuck Im

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Hae Hyun JungDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06351, Korea.ORCID 0000-0003-0174-4477
Ji-Yeon KimSamsung Medical Center, Biomedical Research Institute, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Eun Yoon ChoSamsung Medical Center, Department of Pathology, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.ORCID 0000-0003-4675-4492
Jung Min OhSamsung Medical Center, Biomedical Research Institute, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Jeong Eon LeeSamsung Medical Center, Department of Surgery, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.ORCID 0000-0003-0037-2456
Seok Won KimSamsung Medical Center, Department of Surgery, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Seok Jin NamSamsung Medical Center, Department of Surgery, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Yeon Hee ParkDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06351, Korea.
Jin Seok AhnSamsung Medical Center, Department of Medicine, Division of Hematology-Oncology, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea.
Young-Hyuck ImDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06351, Korea.ORCID 0000-0001-6459-8118
Samsung Medical Center · KRSamsung (South Korea) · KR

Funding

Institute for Information and Communications Technology Promotion 2018-0-00861, Intelligent SW Technology Development for Medical Data AnalysisNational Research Foundation of Korea NRF-2018R1D1A1B07047723National Research Foundation of Korea NRF-2019R1A6A3A13095111National Research Foundation of Korea NRF-2021R1A2C1008066
6 · The paper itself

Abstract

Neoadjuvant chemotherapy (NAC) is a standard treatment strategy for patients with locally advanced breast cancer (LABC). However, there are no established predictors of chemosensitivity and survival in LABC patients who undergo NAC. Many studies have demonstrated that exosomes and cytokines are important players in intercellular communication between tumors and their environments, and are involved in chemotherapy resistance. Recently, it was reported that cytokines can be packaged into exosomes, but whether exosomal cytokines serve as biomarkers in breast cancer patients is still unclear. In this study, we examined the roles of cytokines in both serum and exosomes as prognostic biomarkers for long-term outcomes in patients with breast cancer who undergo NAC. We isolated exosomes from the blood of 129 patients with early breast cancer who were receiving neoadjuvant chemotherapy between 2008 and 2011 at Samsung Medical Center. The levels of cytokines and growth factors in serum and exosomes were measured with ProcartaPlex immune-related panels. We investigated correlations between clinic-pathologic variables and patient survival, and Cox proportional hazards regression analysis was performed for prognostic evaluation. We detected significant differences in expression patterns between serum cytokines and exosomal cytokines. In both serum and exosomes, many cytokines were positively correlated with age. In univariate analysis, patients with high serum IP-10, serum MMP-1, and exosomal NGF had shorter overall survival. Exosomal NGF showed significantly poorer overall survival in multivariate analysis. These findings suggest that exosomal NGF is useful for identifying patients with poor survival outcomes.

Indexed as

breast cancerexosomesextracellular vesiclesneoadjuvant chemotherapynerve growth factorprognostic biomarker

Identifiers

PMID34771423
PMCPMC8582365
OpenAlexW3206932906

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.