Evidence map›Paper›PMID 38326737›Full record

ArticleBMC cancer2024

Drug-resistant profiles of extracellular vesicles predict therapeutic response in TNBC patients receiving neoadjuvant chemotherapy.

Min Woo Kim, Hyojung Lee, Suji Lee, Sol Moon, Young Kim, Joon Ye Kim, Seung Il Kim, Jee Ye Kim

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

8 authors at 1 institution in 1 country.

Min Woo Kim *Department of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
Hyojung Lee *Department of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
Suji LeeDepartment of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
Sol MoonDepartment of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
Young KimDepartment of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
Joon Ye KimDepartment of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea.
Seung Il KimDepartment of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea. SKIM@yuhs.ac.
Jee Ye KimDepartment of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, 03722, Seoul, Republic of Korea. JEEYE0531@yuhs.ac.
Yonsei University · KR

Funding

National Research Foundation of Korea Grants 2021R1I1A1A01051594National Research Foundation of Korea Grants 2022R1F1A1074605Severance Hospital Research fund for Clinical Excellence C-2023-0006
6 · The paper itself

Abstract

backgroundPredicting tumor responses to neoadjuvant chemotherapy (NAC) is critical for evaluating prognosis and designing treatment strategies for patients with breast cancer; however, there are no reliable biomarkers that can effectively assess tumor responses. Therefore, we aimed to evaluate the clinical feasibility of using extracellular vesicles (EVs) to predict tumor response after NAC.

methodsDrug-resistant triple-negative breast cancer (TNBC) cell lines were successfully established, which developed specific morphologies and rapidly growing features. To detect resistance to chemotherapeutic drugs, EVs were isolated from cultured cells and plasma samples collected post-NAC from 36 patients with breast cancer.

resultsAmong the differentially expressed gene profiles between parental and drug-resistant cell lines, drug efflux transporters such as MDR1, MRP1, and BCRP were highly expressed in resistant cell lines. Drug efflux transporters have been identified not only in cell lines but also in EVs released from parental cells using immunoaffinity-based EV isolation. The expression of drug resistance markers in EVs was relatively high in patients with residual disease compared to those with a pathological complete response.

conclusionsThe optimal combination of drug-resistant EV markers was significantly efficient in predicting resistance to NAC with 81.82% sensitivity and 92.86% specificity.

Indexed as

Extracellular VesiclesTriple Negative Breast NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsATP Binding Cassette Transporter, Subfamily G, Member 2Biomarkers, TumorHumansNeoadjuvant TherapyNeoplasm ProteinsATP Binding Cassette Transporter, Subfamily G, Member 2Biomarkers, TumorNeoplasm ProteinsExtracellular vesiclesLiquid biopsyNeoadjuvant chemotherapyPredictive biomarkerTNBC

Identifiers

PMID38326737
PMCPMC10851537
OpenAlexW4391603042

What OpenQuestion holds

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LicenceCC BY
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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.