Evidence map›Paper›PMID 35626446›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Comprehensive Development and Implementation of Good Laboratory Practice for NGS Based Targeted Panel on Solid Tumor FFPE Tissues in Diagnostics.

Anuradha Chougule, Vinita Jagtap, Ankita Nikam, Shrutikaa Kale, Kavya Nambiar, Priyanka Bagayatkar, Pratik Chandrani, Rajiv Kaushal, Vanita Noronha, Vijay Patil and 2 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Optimizing genomic DNA extraction from long-term preserved formalin-fixed and paraffin-embedded lung cancer and lymph node tissues.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Article
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.

Anuradha ChouguleMedical Oncology-Molecular Laboratory, Tata Memorial Hospital, Ernest Borges Marg, Parel, Mumbai 400012, Maharashtra, India.ORCID 0000-0002-9889-2136
Vinita JagtapMedical Oncology-Molecular Laboratory, Tata Memorial Hospital, Ernest Borges Marg, Parel, Mumbai 400012, Maharashtra, India.ORCID 0000-0001-6519-9637
Ankita NikamMedical Oncology-Molecular Laboratory, Tata Memorial Hospital, Ernest Borges Marg, Parel, Mumbai 400012, Maharashtra, India.
Shrutikaa KaleMedical Oncology-Molecular Laboratory, Tata Memorial Hospital, Ernest Borges Marg, Parel, Mumbai 400012, Maharashtra, India.
Kavya NambiarMedical Oncology-Molecular Laboratory, Tata Memorial Hospital, Ernest Borges Marg, Parel, Mumbai 400012, Maharashtra, India.
Priyanka BagayatkarMedical Oncology-Molecular Laboratory, Tata Memorial Hospital, Ernest Borges Marg, Parel, Mumbai 400012, Maharashtra, India.
Pratik ChandraniMedical Oncology-Molecular Laboratory, Tata Memorial Hospital, Ernest Borges Marg, Parel, Mumbai 400012, Maharashtra, India.ORCID 0000-0003-2572-0189
Rajiv KaushalHomi Bhabha National Institute (HBNI), Training School Complex, Anushakti Nagar, Mumbai 400094, Maharashtra, India.
Vanita NoronhaHomi Bhabha National Institute (HBNI), Training School Complex, Anushakti Nagar, Mumbai 400094, Maharashtra, India.
Vijay PatilHomi Bhabha National Institute (HBNI), Training School Complex, Anushakti Nagar, Mumbai 400094, Maharashtra, India.
Shripad BanavaliHomi Bhabha National Institute (HBNI), Training School Complex, Anushakti Nagar, Mumbai 400094, Maharashtra, India.
Kumar PrabhashHomi Bhabha National Institute (HBNI), Training School Complex, Anushakti Nagar, Mumbai 400094, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The speed, accuracy, and increasing affordability of next-generation sequencing (NGS) have revolutionized the advent of precision medicine. To date, standardized validation criteria for diagnostic accreditation do not exist due to variability across the multitude of NGS platforms and within NGS processes. In molecular diagnostics, it is necessary to ensure that the primary material of the FFPE sample has good quality and optimum quantity for the analysis, otherwise the laborious and expensive NGS test may result in unreliable information. Therefore, stringent quality control of DNA and RNA before, during, and after library preparation is an essential parameter. Considering the various challenges with the FFPE samples, we aimed to set a benchmark in QC metrics that can be utilized by molecular diagnostic laboratories for successful library preparation and high-quality NGS data output. In total, 144 DNA and 103 RNA samples of various cancer types with a maximum storage of 2 years were processed for 52 gene focus panels. During the making of DNA and RNA libraries, extensive QC check parameters were imposed at different checkpoints. The decision tree approach can be set as a benchmark for FFPE samples and as a guide to establishing a good clinical laboratory practice for targeted NGS panels.

Indexed as

diagnosticsFFPElibrariesnext-generation sequencing (NGS)quality check (QC)solid tumorsstandardizationtargeted panel

Identifiers

PMID35626446
PMCPMC9141409

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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.