RAI therapy is only effective if the tumor cells can absorb iodine. However, up to 15% of patients with PTC – and about 50% of those with metastatic disease – show low or no iodine uptake, making the treatment ineffective and delaying other potentially better options.
In this study, researchers analyzed gene expression in 36 tumor samples where iodine uptake was measured directly in the tissue after surgery. Using RNA sequencing, they identified 63 genes that were differently expressed between tumors with high and low iodine avidity. One gene, ANO1, stood out as a strong candidate biomarker. ANO1 is a known iodine transporter located in the membrane of thyroid cells, and its expression correlated significantly with iodine uptake.
Other deregulated genes pointed to biological processes involved in thyroid hormone production and key signaling pathways like PI3K-AKT and MAPK – both known to influence cancer behavior and treatment response.
The team also developed a predictive model combining ANO1 expression, tumor subtype, and tissue type. The model performed well, suggesting that gene profiling could help identify patients unlikely to benefit from RAI therapy early on – potentially guiding them toward alternative treatments sooner.
This study represents a step toward more personalized care in thyroid cancer, where molecular profiling could help avoid ineffective therapies and improve outcomes for patients with challenging tumors.
Source – Karolinska Institutet
Histological image of papillary thyroid carcinoma. Photo: Christofer Juhlin
A study led by Vincenzo Condello and Christofer Juhlin at the Karolinska Institutet, has been published in Endocrine Pathology. The researchers explored why some papillary thyroid cancers don’t respond well to radioactive iodine (RAI) therapy – a key treatment used after surgery to eliminate remaining thyroid cancer cells.
RAI therapy is only effective if the tumor cells can absorb iodine. However, up to 15% of patients with PTC – and about 50% of those with metastatic disease – show low or no iodine uptake, making the treatment ineffective and delaying other potentially better options.
In this study, researchers analyzed gene expression in 36 tumor samples where iodine uptake was measured directly in the tissue after surgery. Using RNA sequencing, they identified 63 genes that were differently expressed between tumors with high and low iodine avidity. One gene, ANO1, stood out as a strong candidate biomarker. ANO1 is a known iodine transporter located in the membrane of thyroid cells, and its expression correlated significantly with iodine uptake.
Other deregulated genes pointed to biological processes involved in thyroid hormone production and key signaling pathways like PI3K-AKT and MAPK – both known to influence cancer behavior and treatment response.
The team also developed a predictive model combining ANO1 expression, tumor subtype, and tissue type. The model performed well, suggesting that gene profiling could help identify patients unlikely to benefit from RAI therapy early on – potentially guiding them toward alternative treatments sooner.
This study represents a step toward more personalized care in thyroid cancer, where molecular profiling could help avoid ineffective therapies and improve outcomes for patients with challenging tumors.
Source – Karolinska Institutet
Condello V, Marchettini C, Ihre-Lundgren C, Nilsson JN, Juhlin CC. (2025) Comprehensive gene expression analysis in papillary thyroid carcinoma reveals a transcriptional profile associated with reduced radioiodine avidity. Endocrine Pathology 36(1): 4. [article]
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Histological image of papillary thyroid carcinoma. Photo: Christofer Juhlin
A study led by Vincenzo Condello and Christofer Juhlin at the Karolinska Institutet, has been published in Endocrine Pathology. The researchers explored why some papillary thyroid cancers don’t respond well to radioactive iodine (RAI) therapy – a key treatment used after surgery to eliminate remaining thyroid cancer cells.
RAI therapy is only effective if the tumor cells can absorb iodine. However, up to 15% of patients with PTC – and about 50% of those with metastatic disease – show low or no iodine uptake, making the treatment ineffective and delaying other potentially better options.
In this study, researchers analyzed gene expression in 36 tumor samples where iodine uptake was measured directly in the tissue after surgery. Using RNA sequencing, they identified 63 genes that were differently expressed between tumors with high and low iodine avidity. One gene, ANO1, stood out as a strong candidate biomarker. ANO1 is a known iodine transporter located in the membrane of thyroid cells, and its expression correlated significantly with iodine uptake.
Other deregulated genes pointed to biological processes involved in thyroid hormone production and key signaling pathways like PI3K-AKT and MAPK – both known to influence cancer behavior and treatment response.
The team also developed a predictive model combining ANO1 expression, tumor subtype, and tissue type. The model performed well, suggesting that gene profiling could help identify patients unlikely to benefit from RAI therapy early on – potentially guiding them toward alternative treatments sooner.
This study represents a step toward more personalized care in thyroid cancer, where molecular profiling could help avoid ineffective therapies and improve outcomes for patients with challenging tumors.
Source – Karolinska Institutet
Condello V, Marchettini C, Ihre-Lundgren C, Nilsson JN, Juhlin CC. (2025) Comprehensive gene expression analysis in papillary thyroid carcinoma reveals a transcriptional profile associated with reduced radioiodine avidity. Endocrine Pathology 36(1): 4. [article]
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RNAmel simplifies RNA sequencing data analysis with a reproducible, integrated platform
Heart failure reshapes bone marrow to create inflammation-related immune memory
Overlooked DNA regions surrounding ‘microexons’ hold missing pieces of autism’s genetic puzzle
RiboBA improves detection of hidden protein-coding regions using ribosome profiling
An anti-senescence gene may fight spinal disc deterioration
Scientists identify the neuroblastoma cells that signal poor outcomes
Novel biosensor uses DNA ‘barcodes’ to uncover disease signals in cells
CellART extracts single-cell information from high-resolution spatial transcriptomics
Cell2space restores spatial context to single-cell RNA sequencing data
Urine test may improve bladder cancer diagnosis and guide treatment decisions
DeCoRE – a computational method to resolve RNA structural heterogeneity from RNA structure probing data by direct RNA sequencing
Tracing 700 million years of cell evolution
How should biological replicates be handled in long-read RNA sequencing?
RNA-Seq reveals a new way the developing heart controls its growth
The Human RNome Project Consortium seeks to publish first-ever complete sequence of the body’s RNA
scFlowReport brings multiple single-cell RNA sequencing analyses into one workflow
Long-read RNA sequencing reveals how neurons choose alternative RNA endings
DeOPUS improves cell-type estimates from bulk RNA sequencing
ResolVI improves accuracy in spatial transcriptomics analysis
RNA sequencing reveals transcriptional allele differences in prostate cancer stem cells
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