Evidence map›Paper›PMID 33556149›Full record

ArticlePloS one2021

Development and validation of a multigene variant profiling assay to guide targeted and immuno therapy selection in solid tumors.

Dadasaheb Akolkar, Darshana Patil, Navin Srivastava, Revati Patil, Vineet Datta, Sachin Apurwa, Nitin Yashwante, Raja Dhasarathan, Rahul Gosavi, Jinumary John and 13 more

Abstract readValidation Study
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

23 authors.

Dadasaheb AkolkarDatar Cancer Genetics, Nashik, Maharashtra, India.ORCID 0000-0002-4434-488X
Darshana PatilDatar Cancer Genetics, Nashik, Maharashtra, India.
Navin SrivastavaDatar Cancer Genetics, Nashik, Maharashtra, India.ORCID 0000-0002-6052-3466
Revati PatilDatar Cancer Genetics, Nashik, Maharashtra, India.
Vineet DattaDatar Cancer Genetics, Nashik, Maharashtra, India.
Sachin ApurwaDatar Cancer Genetics, Nashik, Maharashtra, India.
Nitin YashwanteDatar Cancer Genetics, Nashik, Maharashtra, India.
Raja DhasarathanDatar Cancer Genetics, Nashik, Maharashtra, India.
Rahul GosaviDatar Cancer Genetics, Nashik, Maharashtra, India.
Jinumary JohnDatar Cancer Genetics, Nashik, Maharashtra, India.
Shabishta KhanDatar Cancer Genetics, Nashik, Maharashtra, India.
Ninad JadhavDatar Cancer Genetics, Nashik, Maharashtra, India.
Priti MeneDatar Cancer Genetics, Nashik, Maharashtra, India.
Dhanashri AhireDatar Cancer Genetics, Nashik, Maharashtra, India.
Sushant PawarDatar Cancer Genetics, Nashik, Maharashtra, India.
Harshal BodkeDatar Cancer Genetics, Nashik, Maharashtra, India.
Subhraline SahooDatar Cancer Genetics, Nashik, Maharashtra, India.
Arun NileDatar Cancer Genetics, Nashik, Maharashtra, India.
Dinesh SaindaneDatar Cancer Genetics, Nashik, Maharashtra, India.
Harshal DarokarDatar Cancer Genetics, Nashik, Maharashtra, India.
Pradip DevhareDatar Cancer Genetics, Nashik, Maharashtra, India.
Ajay SrinivasanDatar Cancer Genetics, Nashik, Maharashtra, India.
Rajan DatarDatar Cancer Genetics, Nashik, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present data on analytical validation of the multigene variant profiling assay (CellDx) to provide actionable indications for selection of targeted and immune checkpoint inhibitor (ICI) therapy in solid tumors. CellDx includes Next Generation Sequencing (NGS) profiling of gene variants in a targeted 452-gene panel as well as status of total Tumor Mutation Burden (TMB), Microsatellite instability (MSI), Mismatch Repair (MMR) and Programmed Cell Death-Ligand 1 (PD-L1) respectively. Validation parameters included accuracy, sensitivity, specificity and reproducibility for detection of Single Nucleotide Alterations (SNAs), Copy Number Alterations (CNAs), Insertions and Deletions (Indels), Gene fusions, MSI and PDL1. Cumulative analytical sensitivity and specificity of the assay were 99.03 (95% CI: 96.54-99.88) and 99.23% (95% CI: 98.54% - 99.65%) respectively with 99.20% overall Accuracy (95% CI: 98.57% - 99.60%) and 99.7% Precision based on evaluation of 116 reference samples. The clinical performance of CellDx was evaluated in a subsequent analysis of 299 clinical samples where 861 unique mutations were detected of which 791 were oncogenic and 47 were actionable. Indications in MMR, MSI and TMB for selection of ICI therapies were also detected in the clinical samples. The high specificity, sensitivity, accuracy and reproducibility of the CellDx assay is suitable for clinical application for guiding selection of targeted and immunotherapy agents in patients with solid organ tumors.

Indexed as

High-Throughput Nucleotide SequencingImmunotherapyMolecular Targeted TherapyGenetic VariationHumansLimit of DetectionMultigene FamilyMutationNeoplasms

Identifiers

PMID33556149
PMCPMC7870065

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