Role of intratumoral heterogeneity in metastatic progression and drug resistance

Metastatic cancer is the final frontier in disease progression with few avenues of treatment open to patients. The failure of therapeutic options at the end-stage disease is confounded by the presence of diverse clones in the metastatic tumor which contributes to intratumoral heterogeneity (ITH), resulting in intrinsic and acquired drug resistance. We aim to elucidate the contribution of ITH to the development of metastasis with a focus on the origins and molecular mechanisms driving ITH, as well as the clinical and technical challenges of acquiring and studying metastatic cohorts in which we can investigate this phenomenon. Bioinformatic approaches that could help in silico analysis will be discussed, which could shed light on how to design new therapeutic strategies for metastatic cancer and give hope to patients living under the shadow of the sword of Damocles.

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Publication Details

Journal
Discover Oncology
Published
2025-09-18
DOI
https://doi.org/10.1007/s12672-025-03322-4
Citations
2
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
1.87
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Role of intratumoral heterogeneity in metastatic progression and drug resistance

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article

Role of intratumoral heterogeneity in metastatic progression and drug resistance

Jyothi S. Prabhu, Seemadri Subhadarshini, Mohit Kumar Jolly, Radhika Nair, Neeha Sinai Borker, Jyothilakshmi Sajimon, Rifat Aara
article en
2 citations

Abstract

Metastatic cancer is the final frontier in disease progression with few avenues of treatment open to patients. The failure of therapeutic options at the end-stage disease is confounded by the presence of diverse clones in the metastatic tumor which contributes to intratumoral heterogeneity (ITH), resulting in intrinsic and acquired drug resistance. We aim to elucidate the contribution of ITH to the development of metastasis with a focus on the origins and molecular mechanisms driving ITH, as well as the clinical and technical challenges of acquiring and studying metastatic cohorts in which we can investigate this phenomenon. Bioinformatic approaches that could help in silico analysis will be discussed, which could shed light on how to design new therapeutic strategies for metastatic cancer and give hope to patients living under the shadow of the sword of Damocles.

Discover OncologyVol. 16(1)
Manipal Academy of Higher Education (IN), Centre For Human Genetics (IN), St.John's Medical College Hospital (IN), Indian Institute of Science Bangalore (IN)
Openalex Percentile: Top 12%
Cancer Genomics and Diagnostics
1.87
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