Analysis of quality metrics in comprehensive cancer genomic profiling using a dual DNA-RNA panel.

Comprehensive cancer genomic profiling Next-generation sequencing Nucleic acid quality

Journal

Practical laboratory medicine
ISSN: 2352-5517
Titre abrégé: Pract Lab Med
Pays: Netherlands
ID NLM: 101690848

Informations de publication

Date de publication:
Mar 2024
Historique:
received: 23 01 2024
accepted: 13 02 2024
medline: 26 2 2024
pubmed: 26 2 2024
entrez: 26 2 2024
Statut: epublish

Résumé

The nucleic acid quality from formalin-fixed paraffin-embedded (FFPE) tumor vary among samples, resulting in substantial variability in the quality of comprehensive cancer genomic profiling tests. The objective of the study is to investigate how nucleic acid quality affects sequencing quality. We also examined the variations in nucleic acid quality among different hospitals or cancer types. Three nucleic acid quality metrics (ddCq, Q-value, and DV200) and five sequencing quality metrics (on-target rate, mean depth, coverage uniformity, target exon coverage, and coverage of the housekeeping gene) were examined using 585 samples from the Todai OncoPanel, a dual DNA-RNA panel. In the DNA panel, ddCq served as an indicator of sequencing depth and Q-value reflected the uniformity of sequencing across different regions. It was essential to have favorable values not only for ddCq but also for Q-value to obtain ideal sequencing results. For the RNA panel, DV200 proved to be a valuable metric for assessing the coverage of the housekeeping genes. Significant inter-hospital differences were observed for DNA quality (ddCq and Q-value), but not for RNA quality (DV200). Differences were also observed among cancer types, with Q-value being the lowest in lung and the highest in cervix, while DV200 was the highest in lung and the lowest in bowel. We demonstrated distinct characteristics and high predictive performances of ddCq, Q-value, and DV200. Variations were observed in the nucleic acid quality across hospitals and cancer types. Further study is warranted on preanalytical factors in comprehensive cancer genomic profiling tests.

Sections du résumé

Background UNASSIGNED
The nucleic acid quality from formalin-fixed paraffin-embedded (FFPE) tumor vary among samples, resulting in substantial variability in the quality of comprehensive cancer genomic profiling tests. The objective of the study is to investigate how nucleic acid quality affects sequencing quality. We also examined the variations in nucleic acid quality among different hospitals or cancer types.
Methods UNASSIGNED
Three nucleic acid quality metrics (ddCq, Q-value, and DV200) and five sequencing quality metrics (on-target rate, mean depth, coverage uniformity, target exon coverage, and coverage of the housekeeping gene) were examined using 585 samples from the Todai OncoPanel, a dual DNA-RNA panel.
Results UNASSIGNED
In the DNA panel, ddCq served as an indicator of sequencing depth and Q-value reflected the uniformity of sequencing across different regions. It was essential to have favorable values not only for ddCq but also for Q-value to obtain ideal sequencing results. For the RNA panel, DV200 proved to be a valuable metric for assessing the coverage of the housekeeping genes. Significant inter-hospital differences were observed for DNA quality (ddCq and Q-value), but not for RNA quality (DV200). Differences were also observed among cancer types, with Q-value being the lowest in lung and the highest in cervix, while DV200 was the highest in lung and the lowest in bowel.
Conclusions UNASSIGNED
We demonstrated distinct characteristics and high predictive performances of ddCq, Q-value, and DV200. Variations were observed in the nucleic acid quality across hospitals and cancer types. Further study is warranted on preanalytical factors in comprehensive cancer genomic profiling tests.

Identifiants

pubmed: 38404525
doi: 10.1016/j.plabm.2024.e00368
pii: S2352-5517(24)00014-3
pmc: PMC10883814
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e00368

Informations de copyright

© 2024 The Authors.

Déclaration de conflit d'intérêts

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Shinji Kohsaka reports financial support was provided by Konica Minolta Inc. Hidenori Kage reports financial support was provided by Konica Minolta Inc. Hiroyuki Aburatani reports financial support was provided by Konica Minolta Inc. Hiroyuki Aburatani reports financial support was provided by Chugai Pharmaceutical Co Ltd. Hiroyuki Mano reports financial support was provided by Konica Minolta Realm. Katsutoshi Oda reports financial support was provided by Konica Minolta Inc. Katsutoshi Oda reports financial support was provided by Chugai Pharmaceutical Co Ltd. Hiroyuki Mano reports a relationship with Daiichi Sankyo Inc that includes: funding grants. Hiroyuki Mano reports a relationship with PFDeNA that includes: funding grants. Hiroyuki Mano reports a relationship with Ambry Genetics Corp that includes: funding grants. Hiroyuki Mano reports a relationship with Ono Pharmaceutical Co Ltd that includes: funding grants. Hiroyuki Mano reports a relationship with CureGene that includes: board membership. Katsutoshi Oda reports a relationship with AstraZeneca Pharmaceuticals LP that includes: funding grants and speaking and lecture fees. Katsutoshi Oda reports a relationship with Takeda Pharmaceutical Company Limited that includes: funding grants and speaking and lecture fees. Shinji Kohsaka has patent pending to The University of Tokyo. Hiroyuki Mano has patent pending to The University of Tokyo. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Kousuke Watanabe (K)

Department of Clinical Laboratory, The University Tokyo, Tokyo, Japan.
Department of Respiratory Medicine, The University of Tokyo, Tokyo, Japan.

Shinji Kohsaka (S)

Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.

Kenji Tatsuno (K)

Genome Science and Medicine Laboratory, RCAST, The University of Tokyo, Tokyo, Japan.

Aya Shinozaki-Ushiku (A)

Division of Integrative Genomics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Hideaki Isago (H)

Department of Clinical Laboratory, The University Tokyo, Tokyo, Japan.
Department of Respiratory Medicine, The University of Tokyo, Tokyo, Japan.

Hidenori Kage (H)

Department of Respiratory Medicine, The University of Tokyo, Tokyo, Japan.
Next-Generation Precision Medicine Development Laboratory, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Tetsuo Ushiku (T)

Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Hiroyuki Aburatani (H)

Genome Science and Medicine Laboratory, RCAST, The University of Tokyo, Tokyo, Japan.

Hiroyuki Mano (H)

Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.

Katsutoshi Oda (K)

Division of Integrative Genomics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Classifications MeSH