Evidence map›Paper›PMID 41664071›Full record

ArticleBMC cancer2026

Development of a novel multi-locus Flow-FISH based assay for detection of progressive cervical precancer lesions.

Arun Chhokar, Udit Joshi, Chetkar Chandra Keshavam, Bindiya Gupta, Madeeha Mudassir, Divya Janjua, Apoorva Chaudhary, Tanya Tripathi, Joni Yadav, Nikita Aggarwal and 2 more

Abstract read
In one paragraph

Article in BMC cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Arun ChhokarMolecular Oncology Laboratory, Department of Zoology , University of Delhi (North Campus), Delhi, 110007, India.
Udit JoshiMolecular Oncology Laboratory, Department of Zoology , University of Delhi (North Campus), Delhi, 110007, India.
Chetkar Chandra KeshavamMolecular Oncology Laboratory, Department of Zoology , University of Delhi (North Campus), Delhi, 110007, India.
Bindiya GuptaDepartment of Obstetrics and Gynecology, Guru Teg Bahadur Hospital, Delhi, India.
Madeeha MudassirDepartment of Obstetrics and Gynecology, Guru Teg Bahadur Hospital, Delhi, India.
Divya JanjuaMolecular Oncology Laboratory, Department of Zoology , University of Delhi (North Campus), Delhi, 110007, India.
Apoorva ChaudharyMolecular 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.
Joni YadavMolecular 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.
Vinita Kumar JaggiMolecular Oncology Department, Delhi State Cancer Institute, Delhi, India.
Alok Chandra BhartiMolecular Oncology Laboratory, Department of Zoology , University of Delhi (North Campus), Delhi, 110007, India. alokchandrab@yahoo.com.

Funding

Central Council for Research In Homoeopathy CCRH F.No.17-30/2023-24/CCRH/Tech/Coll./DU Cervical Cancer Phase-II/498ICMR AdHOC 2021-10573/GENOMIC/ADHOC-BMSIndian Council of Medical Research No.5/13/4/ACB/ICRC/2020/NCD-IIIInstitution of Eminence, University of Delhi Ref. No./IoE/2024-25/12/FRP
6 · The paper itself

Abstract

Aberrant STAT3 activation and persistent expression of HPV16 E6E7 transcripts are pivotal drivers of cervical cancer (CaCx) progression. The present study was aimed to develop a Flow cytometry- based Florescence In situ hybridization (Flow-FISH) assay for simultaneous detection of STAT3 and HPV16 E6E7 transcripts at single-cell level. A set of 48 STAT3 multi locus probes and 18 HPV16 E6E7 probes were designed using Stellaris Probe Designer. Fluorescence microscopy using these probe sets generated discrete punctate signals for both individual and simultaneous hybridizations, enabling accurate transcript identification. Flow-cytometry analysis showed quantifiable STAT3 expression across CaCx cell lines, namely HeLa, SiHa and C33a. However, HPV16 E6E7 probes showed non-specific binding, which was addressed by redesigning the probes with increased stringency. The specificity of both probe sets was then evaluated through extensive sequence alignment against all known STAT3 transcript variants (n = 27) and 98 HPV16 isolates. The redesigned phase 2 HPV16 E6E7 probes were subsequently tested in cell lines, demonstrating robust detection in HPV16-positive SiHa and CaSki cells and complete absence of signal in HPV-negative controls (C33a, MSB1, SF21) or HPV18-positive HeLa cells. Dual-color flow cytometry enabled simultaneous quantification of STAT3 and HPV16 E6E7 transcripts in both cell lines and patient's exfoliated samples. Increased dual-positive fractions across LSIL, HSIL, and SCC samples were detected that corresponded with progressive viral oncogene activity and STAT3 co-activation. Overall, the optimized probe-based Flow-FISH assay provided a sensitive, specific, and high-throughput method for transcript-level diagnostics, with potential utility for stratifying cervical lesions.

Indexed as

Flow CytometryIn Situ Hybridization, FluorescenceOncogene Proteins, ViralPrecancerous ConditionsSTAT3 Transcription FactorUterine Cervical NeoplasmsCell Line, TumorFemaleHeLa CellsHuman papillomavirus 16HumansPapillomavirus E7 ProteinsPapillomavirus InfectionsRepressor ProteinsE6 protein, Human papillomavirus type 16oncogene protein E7, Human papillomavirus type 16Oncogene Proteins, ViralPapillomavirus E7 ProteinsRepressor ProteinsSTAT3 protein, humanSTAT3 Transcription FactorCervical cancer (CaCx)Flow cytometryHPV16 E6E7Human papillomavirusSingle-molecule RNA fluorescence in situ hybridizationSTAT3

Identifiers

PMID41664071
PMCPMC12983482

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LicenceCC BY-NC-ND
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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.