Odróżnienie brodawkowatego raka tarczycy od tkanki nienowotworowej w oparciu o profilowanie lipidów metodą MALDI-MSI

Wojakowska, Anna; Cole, Laura; Chekan, Mykola; Bednarczyk, Katarzyna; Maksymiak, Magdalena; Oczko-Wojciechowska, Małgorzata; Jarząb, Barbara; Clench, Malcolm R.; Polańska, Joanna; Pietrowska, Monika; Widłak, Piotr

doi:10.5603/ep.a2018.0003

Cited by 21 publications

(4 citation statements)

References 20 publications

(25 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We found a higher level of molecular similarity amongst thyroid tumors than amongst "normal" thyroid tissue from different patients. A similar observation was reported previously when lipid component was imaged by MALDI-MSI in a tumor and adjacent not cancerous thyroid tissue of PTC patients [39]. These interesting observations could be related to the fact that different pathological conditions (e.g., inflammation-related) frequently exist in not cancerous tissue adjacent to a tumor that was considered here as a "normal thyroid."…”

Section: Discussionsupporting

confidence: 84%

Molecular Heterogeneity of Papillary Thyroid Cancer: Comparison of Primary Tumors and Synchronous Metastases in Regional Lymph Nodes by Mass Spectrometry Imaging

et al. 2019

Self Cite

View full text Add to dashboard Cite

Intra-tumor heterogeneity results from both genetic heterogeneity of cancer (sub)clones and phenotypic plasticity of cancer cells that could be induced by different local microenvironments. Here, we used mass spectrometry imaging (MSI) to compare molecular profiles of primary tumors located in the thyroid gland and their synchronous metastases in regional lymph nodes to analyze phenotypic heterogeneity in papillary thyroid cancer. Two types of cancerous (primary tumor and metastasis) and two types of not cancerous (thyroid gland and lymph node) regions of interest (ROIs) were delineated in postoperative material from 11 patients, then the distribution of tryptic peptides (spectral components) was analyzed by MSI in all tissue regions. Moreover, tryptic peptides identified by shotgun proteomics in corresponding tissue lysates were matched to components detected by MSI to enable their hypothetical protein annotation. Unsupervised segmentation of all cancer ROIs revealed that different clusters dominated in tumor ROIs and metastasis ROIs. The intra-patient similarity between thyroid and tumor ROIs was higher than the intra-patient similarity between tumor and metastasis ROIs. Moreover, the similarity between tumor and its metastasis from the same patients was lower than similarities among tumors and among metastases from different patients (inter-patient similarity was higher for metastasis ROIs than for tumor ROIs). Components differentiating between tumor and its metastases were annotated as proteins involved in the organization of the cytoskeleton and chromatin, as well as proteins involved in immunity-related functions. We concluded that phenotypical heterogeneity between primary tumor and lymph node metastases from the same patient was higher than inter-tumor heterogeneity between primary tumors from different patients.

show abstract

Section: Discussionsupporting

confidence: 84%

Molecular Heterogeneity of Papillary Thyroid Cancer: Comparison of Primary Tumors and Synchronous Metastases in Regional Lymph Nodes by Mass Spectrometry Imaging

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…But Wojakowska’s and Guo’s research has yielded different results. Wojakowska’s 12 research using tissues as the material, reached similar conclusions as Guo’s 13 which used serum and tissue as the material. They both have confirmed the diagnostic significance of phosphatidylcholines (34:1) phosphatidic acids (36:3) and sphingomyelins (34:1).…”

Section: Blood Markersmentioning

confidence: 52%

<p>The Blood Biomarkers of Thyroid Cancer</p>

Wang¹,

Chang²,

Jia³

et al. 2020

CMAR

View full text Add to dashboard Cite

Introduction: With the gradual increase in the incidence of thyroid cancer, people's attention to thyroid cancer has also gradually increased. Although the prognosis of thyroid cancer is rather mild compared to other cancers, it will still bring a heavy psychological burden on people who have been diagnosed. At present, the diagnosis of thyroid cancer mainly depends on ultrasound and percutaneous fine needle aspiration (pFNA). Due to the unsatisfactory accuracy of the diagnosis methods we use now, there are still some thyroid nodules that cannot be clearly diagnosed before surgery. Methods: In this article, we have searched for relevant research on blood markers of thyroid cancer in the past five years and categoried them into four groups. Discussion: Though we have not found a biomarker which can diagnose thyroid cancer both sensitively and specifically, we do found many substances that are related to it, and have the potential to recognize it and help the diagnosis. And perhaps combined models can do it better.

show abstract

“…The development of new diagnostic tools to support cytopathologists in the diagnostic triage of indeterminate for malignancy thyroid nodules can be approached from the alternative perspective offered by proteomics [20,21]. Previous reports enlightened the possibility to apply imaging methods such as MALDI-MSI to cytological specimens to combine the analytical power of traditional morphology and molecular signatures [22].…”

Section: Discussionmentioning

confidence: 99%

MALDI-MSI as a Complementary Diagnostic Tool in Cytopathology: A Pilot Study for the Characterization of Thyroid Nodules

Capitoli

Piga

Galimberti

et al. 2019

Cancers

View full text Add to dashboard Cite

The present study applies for the first time as Matrix-Assisted Laser Desorption/Ionization (MALDI) Mass Spectrometry Imaging (MSI) on real thyroid Fine Needle Aspirations (FNAs) to test its possible complementary role in routine cytology in the diagnosis of thyroid nodules. The primary aim is to evaluate the potential employment of MALDI-MSI in cytopathology, using challenging samples such as needle washes. Firstly, we designed a statistical model based on the analysis of Regions of Interest (ROIs), according to the morphological triage performed by the pathologist. Successively, the capability of the model to predict the classification of the FNAs was validated in a different group of patients on ROI and pixel-by-pixel approach. Results are very promising and highlight the possibility to introduce MALDI-MSI as a complementary tool for the diagnostic characterization of thyroid nodules.

show abstract

Odróżnienie brodawkowatego raka tarczycy od tkanki nienowotworowej w oparciu o profilowanie lipidów metodą MALDI-MSI

Cited by 21 publications

References 20 publications

Molecular Heterogeneity of Papillary Thyroid Cancer: Comparison of Primary Tumors and Synchronous Metastases in Regional Lymph Nodes by Mass Spectrometry Imaging

Molecular Heterogeneity of Papillary Thyroid Cancer: Comparison of Primary Tumors and Synchronous Metastases in Regional Lymph Nodes by Mass Spectrometry Imaging

<p>The Blood Biomarkers of Thyroid Cancer</p>

MALDI-MSI as a Complementary Diagnostic Tool in Cytopathology: A Pilot Study for the Characterization of Thyroid Nodules

Contact Info

Product

Resources

About