Evidence map›Paper›PMID 38329726›Full record

ArticleOncotarget2024

Genetic and therapeutic landscapes in cohort of pancreatic adenocarcinomas: next-generation sequencing and machine learning for full tumor exome analysis.

P A Shatalov, N A Falaleeva, E A Bykova, D O Korostin, V A Belova, A A Zabolotneva, A P Shinkarkina, A Yu Gorbachev, M B Potievskiy, V S Surkova and 6 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncotarget, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

16 authors at 5 institutions in 1 country.

P A ShatalovNational Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia.
N A FalaleevaNational Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia.
E A BykovaNational Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia.
D O KorostinCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow 117997, Russia.
V A BelovaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow 117997, Russia.
A A ZabolotnevaCenter for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow 117997, Russia.
A P ShinkarkinaNational Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia.
A Yu GorbachevFSBI "Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine" FMBA, Moscow 119435, Russia.
M B PotievskiyNational Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia.
V S SurkovaNational Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia.
Zh V KhailovaNational Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia.
N A KuleminNational Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia.
Denis BaranovskiiNational Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia.
A A KostinPeoples Friendship University of Russia (RUDN University), Moscow 117198, Russia.
A D KaprinNational Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia.
P V ShegaiNational Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Obninsk 249036, Russia.
Ministry of Health of the Russian Federation · RUMedical Radiological Research Center · RUPirogov Russian National Research Medical University · RUFederal Research and Clinical Center of Physical-Chemical Medicine named after Y.M. Lopukhin · RUPeoples' Friendship University of Russia · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

About 7% of all cancer deaths are caused by pancreatic cancer (PCa). PCa is known for its lowest survival rates among all oncological diseases and heterogenic molecular profile. Enormous amount of genetic changes, including somatic mutations, exceeds the limits of routine clinical genetic laboratory tests and further stagnates the development of personalized treatments. We aimed to build a mutational landscape of PCa in the Russian population based on full exome next-generation sequencing (NGS) of the limited group of patients. Applying a machine learning model on full exome individual data we received personalized recommendations for targeted treatment options for each clinical case and summarized them in the unique therapeutic landscape.

Indexed as

AdenocarcinomaPancreatic NeoplasmsExomeHigh-Throughput Nucleotide SequencingHumansMachine Learningartificial intelligencemachine learningpancreatic cancersomatic mutationstumor mutation burden

Identifiers

PMID38329726
PMCPMC10852064
OpenAlexW4391543484

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.