Genomic patterns of somatic mutations provide new prognostic, therapeutic, and biological insights in cancer

Dana Tseitline; Yuval Cohen; Sheera Adar

doi:10.1016/j.xgen.2024.100635

Genomic patterns of somatic mutations provide new prognostic, therapeutic, and biological insights in cancer

Dana Tseitline
, Yuval Cohen
, Sheera Adar^*

^*Corresponding author for this work

Research output: Contribution to journal › Comment/debate

1 Scopus citations

Abstract

The mutational landscape of an individual's cancer can inform on its molecular state and be used as prognostic and therapeutic markers. The study by Barbour et al.¹ analyzes mutational patterns in bladder cancer samples to uncover new biological insights into the ERCC2 gene function and develop new predictive prognostic tools.

Original language	English
Article number	100635
Journal	Cell Genomics
Volume	4
Issue number	8
DOIs	https://doi.org/10.1016/j.xgen.2024.100635
State	Published - 14 Aug 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1016/j.xgen.2024.100635

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title = "Genomic patterns of somatic mutations provide new prognostic, therapeutic, and biological insights in cancer",

abstract = "The mutational landscape of an individual's cancer can inform on its molecular state and be used as prognostic and therapeutic markers. The study by Barbour et al.1 analyzes mutational patterns in bladder cancer samples to uncover new biological insights into the ERCC2 gene function and develop new predictive prognostic tools.",

author = "Dana Tseitline and Yuval Cohen and Sheera Adar",

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AU - Cohen, Yuval

AU - Adar, Sheera

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N2 - The mutational landscape of an individual's cancer can inform on its molecular state and be used as prognostic and therapeutic markers. The study by Barbour et al.1 analyzes mutational patterns in bladder cancer samples to uncover new biological insights into the ERCC2 gene function and develop new predictive prognostic tools.

AB - The mutational landscape of an individual's cancer can inform on its molecular state and be used as prognostic and therapeutic markers. The study by Barbour et al.1 analyzes mutational patterns in bladder cancer samples to uncover new biological insights into the ERCC2 gene function and develop new predictive prognostic tools.

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JO - Cell Genomics

JF - Cell Genomics

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M1 - 100635

ER -

Genomic patterns of somatic mutations provide new prognostic, therapeutic, and biological insights in cancer

Abstract

Bibliographical note

UN SDGs

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