Evidence map›Paper›PMID 35148692›Full record

ArticleBMC cancer2022

Transcriptome analysis of cervical cancer exosomes and detection of HPVE6*I transcripts in exosomal RNA.

Anjali Bhat, Joni Yadav, Kulbhushan Thakur, Nikita Aggarwal, Arun Chhokar, Tanya Tripathi, Tejveer Singh, Mohit Jadli, Veeramohan Veerapandian, Alok Chandra Bharti

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2022. 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
2.6field-weighted citation impact, top 9% 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, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Exosomal ncRNAs in reproductive cancers†.Biology of reproduction · 2025
    Review
  10. Evolving HPV diagnostics: current practice and future frontiers.Frontiers in cellular and infection microbiology · 2025
    Review
  11. Review
  12. Review
  13. Article
  14. Article
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  16. 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

10 authors at 2 institutions in 2 countries.

Anjali BhatMolecular Oncology Laboratory, Department of Zoology, University of Delhi (North Campus), Delhi, 110007, India.
Joni YadavMolecular Oncology Laboratory, Department of Zoology, University of Delhi (North Campus), Delhi, 110007, India.
Kulbhushan ThakurMolecular Oncology Laboratory, Department of Zoology, University of Delhi (North Campus), Delhi, 110007, India.
Nikita AggarwalMolecular Oncology Laboratory, Department of Zoology, University of Delhi (North Campus), Delhi, 110007, India.
Arun ChhokarMolecular Oncology Laboratory, Department of Zoology, University of Delhi (North Campus), Delhi, 110007, India.
Tanya TripathiMolecular Oncology Laboratory, Department of Zoology, University of Delhi (North Campus), Delhi, 110007, India.
Tejveer SinghMolecular Oncology Laboratory, Department of Zoology, University of Delhi (North Campus), Delhi, 110007, India.
Mohit JadliMolecular Oncology Laboratory, Department of Zoology, University of Delhi (North Campus), Delhi, 110007, India.
Veeramohan VeerapandianDepartment of Physiology and Pharmacology, Karolinska Institute, Stockholm, Sweden.
Alok Chandra BhartiMolecular Oncology Laboratory, Department of Zoology, University of Delhi (North Campus), Delhi, 110007, India. alokchandrab@yahoo.com.
University of Delhi · INKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExosomes play a key role in cell-to-cell communication and are integral component of the tumor microenvironment. Recent observations suggest transfer of RNA through tumor-derived exosomes that can potentially translate into regulatory proteins in the recipient cells. Role of cervical cancer-derived exosomes and their transcript cargo is poorly understood. MATERIALS AND

methodsThe total RNA of exosomes from HPV-positive (SiHa and HeLa) and HPV-negative (C33a) cervical cancer cell lines were extracted and the transcripts were estimated using Illumina HiSeq X. Further, validation of HPV transcripts were performed using RT-PCR.

results3099 transcripts were found to be differentially-exported in HPV-positive vs. HPV-negative exosomes (p value <0.05). Analysis of top 10 GO terms and KEGG pathways showed enrichment of transcripts belonging to axon guidance and tumor innervation in HPV-positive exosomes. Among top 20 overexpressed transcripts, EVC2, LUZP1 and ANKS1B were the most notable due to their involvement in Hh signaling, cellular migration and invasion, respectively. Further, low levels of HPV-specific reads were detected. RT-PCR validation revealed presence of E6*I splice variant of HPV18 in exosomal RNA of HeLa cells. The E6*I transcripts were consistently retained in exosomes obtained from HeLa cells undergoing 5-FU and cisplatin-induced oxidative stress.

conclusionOur data suggests the enrichment of poly-A RNA transcripts in the exosomal cargo of cervical cancer cells, which includes pro-tumorigenic cellular RNA and viral transcripts such as HPV E6, which may have clinical utility as potential exosomal biomarkers of cervical cancer.

Indexed as

Biomarkers, TumorCell Line, TumorExosomesFemaleGene Expression ProfilingHeLa CellsHumansOncogene Proteins, ViralRNA, ViralUterine Cervical NeoplasmsBiomarkers, TumorE6 protein, human papillomavirus type 1Oncogene Proteins, ViralRNA, ViralCervical cancerExosomeHuman papillomavirusNext generation sequencingOncoprotein E6Reverse transcriptase polymerase chain reactionTranscript profiling

Identifiers

PMID35148692
PMCPMC8840784
OpenAlexW4221027963

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.