Evidence map›Paper›PMID 36831397›Full record

ArticleCancers2023

Estimation of ALU Repetitive Elements in Plasma as a Cost-Effective Liquid Biopsy Tool for Disease Prognosis in Breast Cancer.

Madhumathy G Nair, Rakesh S Ramesh, Chandrakala M Naidu, Apoorva D Mavatkar, Snijesh V P, Vishakha Ramamurthy, Vidya M Somashekaraiah, Anupama C E, Kiruthiga Raghunathan, Anuradha Panigrahi and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 10 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

13 authors at 2 institutions in 1 country.

Madhumathy G NairDivision of Molecular Medicine, St. John's Research Institute, St. John's Medical College, Bangalore 560034, India.ORCID 0000-0002-8119-4876
Rakesh S RameshDepartment of Surgical Oncology, St. John's Medical College and Hospital, Bangalore 560034, India.
Chandrakala M NaiduDivision of Molecular Medicine, St. John's Research Institute, St. John's Medical College, Bangalore 560034, India.
Apoorva D MavatkarDivision of Molecular Medicine, St. John's Research Institute, St. John's Medical College, Bangalore 560034, India.
Snijesh V PDivision of Molecular Medicine, St. John's Research Institute, St. John's Medical College, Bangalore 560034, India.ORCID 0000-0002-2215-9042
Vishakha RamamurthyDivision of Molecular Medicine, St. John's Research Institute, St. John's Medical College, Bangalore 560034, India.
Vidya M SomashekaraiahDivision of Molecular Medicine, St. John's Research Institute, St. John's Medical College, Bangalore 560034, India.
Anupama C EDivision of Molecular Medicine, St. John's Research Institute, St. John's Medical College, Bangalore 560034, India.
Kiruthiga RaghunathanMolecular Immunology Program, MSMF, Narayana Health City, Bangalore 560099, India.
Anuradha PanigrahiMolecular Immunology Program, MSMF, Narayana Health City, Bangalore 560099, India.ORCID 0000-0003-2380-2391
Manjula DasMolecular Immunology Program, MSMF, Narayana Health City, Bangalore 560099, India.
Sujan K DharMolecular Immunology Program, MSMF, Narayana Health City, Bangalore 560099, India.
Jyothi S PrabhuDivision of Molecular Medicine, St. John's Research Institute, St. John's Medical College, Bangalore 560034, India.ORCID 0000-0002-2269-3704
St.John's Medical College Hospital · INNarayana Health · IN

Funding

Rajiv Gandhi University of Health Sciences 19MED070
6 · The paper itself

Abstract

backgroundLiquid biopsy is widely recognized as an efficient diagnostic method in oncology for disease detection and monitoring. Though the examination of circulating tumor cells (CTC) is mostly implemented for the assessment of genomic aberrations, the need of complex methodologies for their detection has impeded its acceptance in low-resource settings. We evaluated cell-free DNA (cfDNA) as a liquid biopsy tool and investigated its utility in breast cancer patients.

methodsTotal cell-free DNA was extracted from the plasma of breast cancer patients (n = 167) with a median follow-up of more than 5 years, at various stages of the disease. Quantitative PCR was performed to estimate the copy numbers of two fractions of ALU repetitive elements (ALU 115 and ALU 247), and DNA integrity (DI) was calculated as the ratio of ALU 247/115. Mutations in TP53 and PIK3CA in the cfDNA were estimated by next-gen sequencing (NGS) in a subset of samples. Associations of the levels of both the ALU fragments with various clinico-pathological factors and disease-free survival at various stages were examined. Nomogram models were constructed with clinical variables and ALU 247 levels to predict disease-free survival and the best performing model was evaluated by decision curve analysis.

resultsDI and ALU 247 levels were significantly lower (

conclusionOur results confirm the utility of cfDNA as an evolving liquid biopsy tool for molecular analysis. Evaluation of larger fragments of cfDNA estimated through ALU 247 can provide vital information concurrent with the pathological process of disease evolution in breast cancer and warrants expansion to other cancer types.

Indexed as

ALU 247breast cancerctDNAdisease progressionliquid biopsyprognosis

Identifiers

PMID36831397
PMCPMC9953974
OpenAlexW4319600831

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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.