Evidence map›Paper›PMID 35033101›Full record

ArticleJournal of translational medicine2022

Incidental germline findings during molecular profiling of tumor tissues for precision oncology: molecular survey and methodological obstacles.

Alexandra Lebedeva, Yulia Shaykhutdinova, Daria Seriak, Ekaterina Ignatova, Ekaterina Rozhavskaya, Divyasphoorthi Vardhan, Sofia Manicka, Margarita Sharova, Tatiana Grigoreva, Ancha Baranova and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Observational
  3. Review
  4. 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 at 5 institutions in 3 countries.

Alexandra LebedevaAtlas Oncodiagnostics, LLC, Moscow, Russia. lebedeva@oncoatlas.ru.ORCID 0000-0003-1920-5076
Yulia ShaykhutdinovaAtlas Oncodiagnostics, LLC, Moscow, Russia.
Daria SeriakSalem Hospital, Salem, MA, USA.
Ekaterina IgnatovaAtlas Oncodiagnostics, LLC, Moscow, Russia.
Ekaterina RozhavskayaAtlas Oncodiagnostics, LLC, Moscow, Russia.
Divyasphoorthi VardhanSchool of Systems Biology, George Mason University, Mannas, VA, USA.
Sofia ManickaSchool of Systems Biology, George Mason University, Mannas, VA, USA.
Margarita SharovaAtlas Oncodiagnostics, LLC, Moscow, Russia.
Tatiana GrigorevaAtlas Oncodiagnostics, LLC, Moscow, Russia.
Ancha BaranovaSchool of Systems Biology, George Mason University, Mannas, VA, USA.
Vladislav MileykoAtlas Oncodiagnostics, LLC, Moscow, Russia.
Maxim IvanovAtlas Oncodiagnostics, LLC, Moscow, Russia.
George Mason University · USMinistry of Health of the Russian Federation · RUMoscow Institute of Physics and Technology · RUP.N. Lebedev Physical Institute of the Russian Academy of Sciences · RUSalem Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA fraction of patients referred for complex molecular profiling of biopsied tumors may harbor germline variants in genes associated with the development of hereditary cancer syndromes (HCS). Neither the bioinformatic analysis nor the reporting of such incidental germline findings are standardized.

methodsData from Next-Generation Sequencing (NGS) of biopsied tumor samples referred for complex molecular profiling were analyzed for germline variants in HCS-associated genes. Analysis of variant origin was performed employing bioinformatic algorithms followed by manual curation. When possible, the origin of the variant was validated by Sanger sequencing of the sample of normal tissue. The variants' pathogenicity was assessed according to ACMG/AMP.

resultsTumors were sampled from 183 patients (Males: 75 [41.0%]; Females: 108 [59.0%]; mean [SD] age, 57.7 [13.3] years) and analysed by targeted NGS. The most common tumor types were colorectal (19%), pancreatic (13%), and lung cancer (10%). A total of 56 sequence variants in genes associated with HCS were detected in 40 patients. Of them, 17 variants found in 14 patients were predicted to be of germline origin, with 6 variants interpreted as pathogenic (PV) or likely pathogenic (LPV), and 9 as variants of uncertain significance (VUS). For the 41 out of 42 (97%) missense variants in HCS-associated genes, the results of computational prediction of variant origin were concordant with that of experimental examination. We estimate that Sanger sequencing of a sample of normal tissue would be required for ~ 1-7% of the total assessed cases with PV or LPV, when necessity to follow with genetic counselling referral in ~ 2-15% of total assessed cases (PV, LPV or VUS found in HCS genes).

conclusionIncidental findings of pathogenic germline variants are common in data from cancer patients referred for complex molecular profiling. We propose an algorithm for the management of patients with newly detected variants in genes associated with HCS.

Indexed as

NeoplasmsFemaleGerm CellsGerm-Line MutationHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedPrecision Medicine

Identifiers

PMID35033101
PMCPMC8760669
OpenAlexW4205993818

What OpenQuestion holds

Textmetadata
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.