Evidence map›Paper›PMID 37835573›Full record

ReviewCancers2023

Extracellular Vesicles in Triple-Negative Breast Cancer: Immune Regulation, Biomarkers, and Immunotherapeutic Potential.

Kaushik Das, Subhojit Paul, Arnab Ghosh, Saurabh Gupta, Tanmoy Mukherjee, Prem Shankar, Anshul Sharma, Shiva Keshava, Subhash C Chauhan, Vivek Kumar Kashyap and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 32 citations in OpenAlex.

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  13. ExosomalIranian journal of public health · 2025
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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

11 authors at 6 institutions in 2 countries.

Kaushik DasDepartment of Cellular and Molecular Biology, The University of Texas at Tyler Health Science Center, Tyler, TX 75708, USA.ORCID 0000-0003-0386-0543
Subhojit PaulSchool of Biological Sciences, Indian Association for the Cultivation of Science, Jadavpur, Kolkata 700012, India.
Arnab GhoshSchool of Biological Sciences, Indian Association for the Cultivation of Science, Jadavpur, Kolkata 700012, India.
Saurabh GuptaDepartment of Biotechnology, GLA University, Mathura 281406, India.ORCID 0000-0001-8140-2033
Tanmoy MukherjeeSchool of Medicine, The University of Texas at Tyler Health Science Center, Tyler, TX 75708, USA.ORCID 0000-0002-6359-653X
Prem ShankarDepartment of Neurobiology, The University of Texas Medical Branch, Galveston, TX 77555, USA.ORCID 0000-0003-3087-0413
Anshul SharmaDivision of Hematology & Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Shiva KeshavaDepartment of Cellular and Molecular Biology, The University of Texas at Tyler Health Science Center, Tyler, TX 75708, USA.ORCID 0000-0002-1760-6186
Subhash C ChauhanDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX 78504, USA.
Vivek Kumar KashyapDepartment of Immunology and Microbiology, School of Medicine, University of Texas Rio Grande Valley, McAllen, TX 78504, USA.
Deepak ParasharDivision of Hematology & Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, USA.ORCID 0000-0002-5062-8950
The University of Texas at Tyler · USIndian Association for the Cultivation of Science · INMedical College of Wisconsin · USThe University of Texas Rio Grande Valley · USGLA University · INThe University of Texas Medical Branch at Galveston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is an aggressive subtype accounting for ~10-20% of all human BC and is characterized by the absence of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) amplification. Owing to its unique molecular profile and limited targeted therapies, TNBC treatment poses significant challenges. Unlike other BC subtypes, TNBC lacks specific molecular targets, rendering endocrine therapies and HER2-targeted treatments ineffective. The chemotherapeutic regimen is the predominant systemic treatment modality for TNBC in current clinical practice. However, the efficacy of chemotherapy in TNBC is variable, with response rates varying between a wide range of patients, and the emerging resistance further adds to the difficulties. Furthermore, TNBC exhibits a higher mutational burden and is acknowledged as the most immunogenic of all BC subtypes. Consequently, the application of immune checkpoint inhibition has been investigated in TNBC, yielding promising outcomes. Recent evidence identified extracellular vesicles (EVs) as an important contributor in the context of TNBC immunotherapy. In view of the extraordinary ability of EVs to transfer bioactive molecules, such as proteins, lipids, DNA, mRNAs, and small miRNAs, between the cells, EVs are considered a promising diagnostic biomarker and novel drug delivery system among the prospects for immunotherapy. The present review provides an in-depth understanding of how EVs influence TNBC progression, its immune regulation, and their contribution as a predictive biomarker for TNBC. The final part of the review focuses on the recent key advances in immunotherapeutic strategies for better understanding the complex interplay between EVs and the immune system in TNBC and further developing EV-based targeted immunotherapies.

Indexed as

biomarkerbreast cancer subtypescancer progressionclassificationextracellular vesiclesimmune regulationimmunotherapytriple negative breast cancer

Identifiers

PMID37835573
PMCPMC10571545
OpenAlexW4387435173

What OpenQuestion holds

Textmetadata
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.