Evidence map›Paper›PMID 32785215›Full record

Observational studyPloS one2020

Relative quantification of BCL2 mRNA for diagnostic usage needs stable uncontrolled genes as reference.

Nehanjali Dwivedi, Sreejeta Mondal, Smitha P K, Sowmya T, Kartik Sachdeva, Christopher Bathula, Vishnupriyan K, Nataraj K S, Sharat Damodar, Sujan K Dhar and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

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

11 authors at 2 institutions in 1 country.

Nehanjali DwivediTumor Immunology Program, MSMF, MSMC, Narayana Health City, Bangalore, India.
Sreejeta MondalTumor Immunology Program, MSMF, MSMC, Narayana Health City, Bangalore, India.
Smitha P KTumor Immunology Program, MSMF, MSMC, Narayana Health City, Bangalore, India.
Sowmya TTumor Immunology Program, MSMF, MSMC, Narayana Health City, Bangalore, India.
Kartik SachdevaTumor Immunology Program, MSMF, MSMC, Narayana Health City, Bangalore, India.
Christopher BathulaTumor Immunology Program, MSMF, MSMC, Narayana Health City, Bangalore, India.ORCID 0000-0001-6102-4039
Vishnupriyan KTumor Immunology Program, MSMF, MSMC, Narayana Health City, Bangalore, India.ORCID 0000-0002-1800-243X
Nataraj K SDepartment of Haematology, MSMF, MSMC, Narayana Health City, Bangalore, India.
Sharat DamodarDepartment of Haematology, MSMF, MSMC, Narayana Health City, Bangalore, India.
Sujan K DharBeyond Antibody, InCite Labs, MSMF, MSMC, Narayana Health City, Bangalore, India.
Manjula DasTumor Immunology Program, MSMF, MSMC, Narayana Health City, Bangalore, India.ORCID 0000-0001-6202-3919
Narayana Health · INManipal Academy of Higher Education · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dysregulation of BCL2 is a pathophysiology observed in haematological malignancies. For implementation of available treatment-options it is preferred to know the relative quantification of BCL2 mRNA with appropriate reference genes. For the choice of reference genes-(i) Reference Genes were selected by assessing variation of >60,000 genes from 4 RNA-seq datasets of haematological malignancies followed by filtering based on their GO biological process annotations and proximity of their chromosomal locations to known disease translocations. Selected genes were experimentally validated across various haematological malignancy samples followed by stability comparison using geNorm, NormFinder, BestKeeper and RefFinder. (ii) 43 commonly used Reference Genes were obtained from literature through extensive systematic review. Levels of BCL2 mRNA was assessed by qPCR normalized either by novel reference genes from this study or GAPDH, the most cited reference gene in literature and compared. The analysis showed PTCD2, PPP1R3B and FBXW9 to be the most unregulated genes across lymph-nodes, bone marrow and PBMC samples unlike the Reference Genes used in literature. BCL2 mRNA level shows a consistent higher expression in haematological malignancy patients when normalized by these novel Reference Genes as opposed to GAPDH, the most cited Reference Gene. These reference genes should also be applicable in qPCR platforms using Taqman probes and other model systems including cell lines and rodent models. Absence of sample from healthy-normal individual in diagnostic cases call for careful selection of Reference Genes for relative quantification of a biomarker by qPCR.BCL2 can be used as molecular diagnostics only if normalized with a set of reference genes with stable yet low levels of expression across different types of haematological malignancies.

Indexed as

AnimalsBiomarkers, TumorBone MarrowCell Line, TumorDatasets as TopicDisease Models, AnimalFeasibility StudiesGene Expression Regulation, NeoplasticGenes, EssentialHematologic NeoplasmsHumansLeukocytes, MononuclearProto-Oncogene Proteins c-bcl-2Real-Time Polymerase Chain ReactionReference StandardsRNA, MessengerBCL2 protein, humanBiomarkers, TumorProto-Oncogene Proteins c-bcl-2RNA, Messenger

Identifiers

PMID32785215
PMCPMC7423076
OpenAlexW3048611012

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.