Evidence map›Paper›PMID 35264585›Full record

ArticleScientific reports2022

Normalization of clonal diversity in gene therapy studies using shape constrained splines.

L Del Core, D Cesana, P Gallina, Y N Serina Secanechia, L Rudilosso, E Montini, E C Wit, A Calabria, M A Grzegorczyk

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Evaluation of diversity indices to estimate clonal dominance in gene therapy studies.Molecular therapy. Methods & clinical development · 2023
    Article
  5. Article
  6. Review
  7. 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

9 authors at 3 institutions in 3 countries.

L Del CoreUniversity of Groningen - Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, Groningen, Netherlands. l.del.core@rug.nl.ORCID 0000-0002-1672-6995
D CesanaIRCCS Ospedale San Raffaele, San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), Milan, Italy.
P GallinaIRCCS Ospedale San Raffaele, San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), Milan, Italy.
Y N Serina SecanechiaIRCCS Ospedale San Raffaele, San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), Milan, Italy.
L RudilossoIRCCS Ospedale San Raffaele, San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), Milan, Italy.
E MontiniIRCCS Ospedale San Raffaele, San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), Milan, Italy.
E C WitUniversità della Svizzera italiana - Institute of Computing, Lugano, Switzerland. ernst.jan.camiel.wit@usi.ch.
A CalabriaIRCCS Ospedale San Raffaele, San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), Milan, Italy. calabria.andrea@hsr.it.
M A GrzegorczykUniversity of Groningen - Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, Groningen, Netherlands. m.a.grzegorczyk@rug.nl.
IRCCS Ospedale San Raffaele · ITUniversity of Groningen · NLUniversità della Svizzera italiana · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viral vectors are used to insert genetic material into semirandom genomic positions of hematopoietic stem cells which, after reinfusion into patients, regenerate the entire hematopoietic system. Hematopoietic cells originating from genetically modified stem cells will harbor insertions in specific genomic positions called integration sites, which represent unique genetic marks of clonal identity. Therefore, the analysis of vector integration sites present in the genomic DNA of circulating cells allows to determine the number of clones in the blood ecosystem. Shannon diversity index is adopted to evaluate the heterogeneity of the transduced population of gene corrected cells. However, this measure can be affected by several technical variables such as the DNA amount used and the sequencing depth of the library analyzed and therefore the comparison across samples may be affected by these confounding factors. We developed an advanced spline-regression approach that leverages on confounding effects to provide a normalized entropy index. Our proposed method was first validated and compared with two state of the art approaches in a specifically designed in vitro assay. Subsequently our approach allowed to observe the expected impact of vector genotoxicity on entropy level decay in an in vivo model of hematopoietic stem cell gene therapy based on tumor prone mice.

Indexed as

EcosystemHematopoietic Stem CellsAnimalsDNAGenetic TherapyGenetic VectorsHumansMiceDNA

Identifiers

PMID35264585
PMCPMC8907296
OpenAlexW4220969440

What OpenQuestion holds

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LicenceCC BY
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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.