Deep learning prioritizes cancer mutations that alter protein nucleocytoplasmic shuttling to drive tumorigenesis

Yongqiang Zheng1, Kai Yu1,2, Jin-Fei Lin1,3

  • 1State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.

Nature Communications
|March 15, 2025
PubMed

Insights

Genetic variants called shuttling-attacking mutations (SAMs) disrupt nuclear protein import, driving cancer progression. This study identifies SAMs, revealing their role in tumor suppression loss and offering insights into cancer genetics.

Area of Science:

  • Genomics
  • Molecular Biology
  • Cancer Research

Background:

  • Genetic variants can alter protein function through aberrant subcellular localization.
  • The impact of mutations on nuclear localization and cancer progression remains incompletely understood.

Purpose of the Study:

  • To systematically characterize potential shuttling-attacking mutations (SAMs) across various cancer types.
  • To develop a deep learning model (pSAM) for predicting sequence determinants of nucleocytoplasmic shuttling.
  • To investigate the functional consequences of SAMs on tumor suppressor genes.

Main Methods:

  • Development of the deep learning model pSAM for ab initio decoding of nucleocytoplasmic shuttling determinants.
  • Systematic analysis of cancer mutations across 11 cancer types to identify SAMs.
  • Experimental validation of identified SAMs, including disruption of nuclear localization signals and importin interactions.

Main Results:

  • SAMs were found to be enriched in functional genetic variations and critical cancer genes.
  • Several SAMs, including R14M in PTEN and P255L in CHFR, were experimentally validated to disrupt nuclear localization signals by interfering with importin interactions.
  • Altered nucleocytoplasmic shuttling in PTEN and CHFR due to SAMs was shown to rewire downstream signaling and abolish tumor suppressor functions.

Conclusions:

  • This study provides a comprehensive characterization of SAMs and their role in cancer.
  • The findings highlight the importance of nucleocytoplasmic shuttling in maintaining tumor suppression.
  • Understanding SAMs offers new insights into the molecular mechanisms of genetic variants in cancer progression.

Related Concept Videos

Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
11.4K
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
5.7K
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
7.3K
Tumor Progression02:07

Tumor Progression

Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
6.2K
The Nucleolus02:55

The Nucleolus

The nucleolus is the most prominent substructure of the nucleus. When it was first discovered, it was considered to be an isolated organelle that forms fibrils and granules. In 1931, the relationship between the nucleolus and chromosomes was first described by Heitz. He observed that the appearance and size of nucleolus varies depending on the stage of the cell cycle. He also noticed constricted regions on different chromosomes clustered together at definite cell cycle stages. These regions,...
8.6K
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
5.5K