top of page

Translational Research

MOLECULAR IMAGING AS A THERANOSTIC TOOL

​

Our translational research focuses on molecular imaging and drug delivery as a theranostics tool. Molecular Imaging allows visualization of not only organs and cells but also biochemical processes within the cells that are associated with specific disease. This information can improve the accuracy of a diagnosis, provide better assessment of the severity of disease and even monitor the response to therapy. Molecular imaging approaches, such as nuclear (including PET and SPECT) and near-infrared fluorescence, have been applied to understand the molecular basis of diseases, biochemical processes, gene delivery and expression, tissue receptor-ligand activity, enzyme mediated processes, drug discovery, monitoring novel therapy techniques, etc.

​

Our laboratory has been developing image guided therapy and dosimetry for cancer. We have developed micro and nanoparticles for imaging and therapy of cancer and image processing methods for improved dosimetry for therapy planning. We have developed PET radiochemicals that report regional metabolic/functional variables of various organs or tumors, and examine their cellular uptake kinetics. In addition to clinical studies, tests are conducted in whole animal, isolated organ and isolated cell models. We are developing tools for automatic segmentation and registration of organs and tumors to accurately determine tumor functional and anatomical volumes which is required for accurate dosimetry calculations for Selective Internal Radiation Therapy (SIRT) planning.

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

68Ga-MAA Study

​

Selective internal radiation treatment (SIRT), a technique used to treat metastatic liver cancer, could also benefit from a PET perfusion tracer. During the planning stage, a 99mTc-MAA perfusion scan is performed to assess the allocation in lung and gastrointestinal tract. It is also used to calculate tumor to normal liver allocation ratio. The distribution acts as a predictor of the treatment safety and effectiveness. A PET perfusion agent (e.g., 68Ga-MAA) was developed that could provide valuable, quantifiable information to calculate precise doses, which could potentially improve the treatment outcome.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

​

Chitosan Microspheres for Imaging and Therapy

​

Fast biodegradable (12 h < half-life < 48 h) radioactive labeled microspheres are needed for PET and SPECT lung perfusion and radiomicrosphere therapy and therapy planning. We used an emulsion method to synthesize microspheres with biodegradable Chitosan glycol (CHSg). Microspheres were characterized and labeled with 99mTc or 68Ga as an alternative to MAA in perfusion PET and SPECT studies. The particles were also co-labeled with Y90 for therapy. Surface decoration of CHSg microspheres with p-SCN-Bn-NOTA was performed to increase 68Ga in vivo stability. 99mTc was labeled directly to the CHSg microspheres. p-SCN-Bn-DOTA was used for Y90 labeling. Labeling yield and in vitro radiochemical stability were evaluated.

 

 

 

 

 

 

​​

​

​

​

​

​

​

​

​

​

​​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

3D Liver Segmentation Method Using Computed Tomography for Selective Internal Radiation Therapy

​

Clinically, accurate liver volume determination for therapy planning is most often accomplished through tedious manual segmentation of the entire computerized tomography (CT) scan, a task greatly dependent on the skill of the operator. Automatic/semiautomatic approaches are thus geared towards segmenting and determining the volume of the liver accurately while facilitating the operational process from a clinician/physician’s viewpoint. We developed a novel liver segmentation approach for estimating anatomic liver volumes towards selective internal radiation treatment (SIRT). The algorithm requires minimal human interaction since the initialization process to segment the entire liver in 3D relied on a single computed tomography (CT) slice. The algorithm integrates a localized contouring algorithm with a modified k-means method. The modified k-means segments each slice into five distinct regions belonging to different structures. The liver region is further segmented using localized contouring. The novelty of the algorithm is in the design of the initialization masks for region contouring to minimize human intervention.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

​

​

​

​

​

​

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

​

FLT Study

​

Clinical evaluation and quantification of proliferative activity and tumor invasiveness can be performed using 3’-deoxy-3’-(18F)-fluorothymidine (18F-FLT) PET imaging. 18F-FLT works as a terminator of the growing DNA chain. Actually little 18F-FLT is accumulated in DNA, it is rather retained intracellularly after phosphorylation by thymidine kinase 1. This is analogous to the imaging of the glucose pathway with 18F-FDG after trapping by hexokinase. Both compounds therefore reflect accumulation by transport and subsequent activation by the first step in the utilization pathways. However, 18F-FLT does not reflect the whole of DNA synthesis just as 18F-FDG does not reflect the whole of glucose use.

​

We examined the imaging characteristics of pancreatic cancer patients to determine the correlation between the metabolic and proliferative activity of pancreatic cancer using FDG and FLT PET images, respectively. The parameters of interest were functional tumor volume (FTV), Total glycolytic index (TGI) and Total proliferative index (TPI). FTV, TGI and TPI were determined from both FDG and FLT PET images. These parameters measure the metabolic and proliferation activity of tumors using FDG and FLT PET/CT images, respectively, which have clinical value in the assessment of tumor biology, prognosis, response to treatment evaluation, and patient selection for therapeutic interventions.

​

​

​

​

​

​

​

​

​

Selected Publication List

​

  1. Debebe, S., M Adjouadi, S Gulec, J Franquiz and AJ McGoron. Yttrium-90 SPECT/CT Quantitative Study and Comparison of Uptake with Pretreatment 99mTc-MAA SPECT/CT in Radiomicrosphere Therapy. Journal of Applied Clinical Medical Physics. 20(2):30-42, 2019, DOI: 10.1002/acm2.12512.

  2. Amor Coarasa, A, Gruca, M, Hurez, SA, Gulec, S, McGoron, A, Babich, J, Impact of elution impurities on DOTA and NOTA labeling with two commercial 68Ge/68Ga generators. Journal of Radioanalytical and Nuclear Chemistry. 317(3):1485–1490, 2018. 10.1007/s10967-018-6011-1.

  3. Pulido, J, de Cabrera, M, Sobczak, AJ, Amor-Coarasa, A, McGoron, AJ, Wnuk, SF. 4-N-Alkanoyl and 4-N-alkyl gemcitabine analogues with NOTA chelators for 68-gallium labelling. Bioorganic & Medicinal Chemistry. 26(21), 5624-5630, 2018

  4. Senait Aknaw Debebe, Mohammed Goryawala, Malek Adjouadi, Anthony J. McGoron, Seza A. Güleç. 18F-FLT Positron Emission Tomography/Computed Tomography Imaging in Pancreatic Cancer: Determination of Tumor Proliferative Activity and Comparison with Glycolytic Activity as Measured by 18F-FDG Positron Emission Tomography/Computed Tomography Imaging. Mol Imaging Radionucl Ther 25:32-38, 2016.

  5. Mohammed Goryawala, Seza A. Gulec, Ruchir Bhatt, Anthony J. McGoron, and Malek Adjouadi. A Low-Interaction Automatic 3D Liver Segmentation Method using Computed Tomography (CT) for Selective Internal Radiation Therapy (SIRT). BioMed Research International. vol. 2014, Article ID 198015, 12 pages, 2014. doi:10.1155/2014/198015.

  6. Alejandro Amor-Coarasa, Andrew Milera, Denny Carvajal, Seza Gulec, and Anthony J. McGoron. Lyophilized Kit for the Preparation of the PET Perfusion Agent [68Ga]-MAA. International Journal of Molecular Imaging, vol. 2014, Article ID 269365, 7 pages, 2014. doi:10.1155/2014/269365

  7. Alejandro Amor-Coarasa, Andrew Milera, Denny Carvajal, Seza Gulec, and Anthony J. McGoron, 90Y-DOTA-CHS Microspheres for Liver Radiomicrosphere Therapy: Preliminary In Vivo Lung Radiochemical Stability Studies, Journal of Radiotherapy, vol. 2014, Article ID 941072, 6 pages, 2014. doi:10.1155/2014/941072

  8. Alejandro Amor-Coarasa, Andrew Milera, Denny Carvajal, Seza Gulec, Jared Leichner, and Anthony J. McGoron, “68Ga-NOTA-CHSg and -CHSg Labeled Microspheres for Lung Perfusion and Liver Radiomicrospheres Therapy Planning,” International Journal of Molecular Imaging, vol. 2013, Article ID 279872, 9 pages, 2013. doi:10.1155/2013/279872

  9. Goryawala M., M.R. Guillen, S. Gulec, T. Barot, R. Suthar, R. Bhatt, A. McGoron and M. Adjouadi, An Accurate 3D Liver Segmentation Method for Selective Internal Radiation Therapy Using a Modified K-Means Algorithm and Parallel Computing. Int. J. of Innovative Computing Information and Control. 8(10):6515-6538, 2012.

  10. Goryawala M., M.R. Guillen, M. Cabrerizo, A. Barreto, S. Gulec, T. Barot, R. Suthar, R. Bhatt, A. McGoron, M. Adjouadi. A 3D Liver Segmentation Method with Parallel Computing for Selective Internal Radiation Therapy. IEEE - Transactions on Information Technology in Biomedicine. 16(1):62-69, 2012.

image.png

A schematic of an ideal drug/imaging agent carrier for image guided therapy.

image.png

Macroaggregated Albumin (MAA) microscope images on a hemocytometer slide; A: From original un-modified MAA kit and B: From re-lyophilized MAA for binding to Ga-68

image.png

Polymer microspheres for local delivery of imaging, chemotherapy or radiotherapy: (A) PGMD Microspheres and (B) Chitoson Microspheres

image.png

Conjugation Chemistry of Ga-68 to Chitosan Microspheres

image.png

Modular block diagram of the main steps for liver segmentation and volume calculation

loader,gif
image.png
image.png

Planar FDG PET/CT Image of Liver Tumors with necrotic cores

Coronal FDG PET/CT of liver tumor with necrotic core

image.png

3D-Model of liver tumors and supplying vasculature. Representation of the tumor and liver perfusion field. Selective treatment of individual lobes requires multimodal imaging (metabolism (FDG), perfusion (MAA) and anatomy (multiphase CT angiography).

image.png

3D-Model of liver tumors and supplying vasculature. Representation of the tumor and liver perfusion field. Selective treatment of individual lobes requires multimodal imaging (metabolism (FDG), perfusion (MAA) and anatomy (multiphase CT angiography). Rotated View

image.png

3D rendered volume of pancreas (red) and tumor volume delineated based on the uptake of only FDG (yellow) (left), and FDG and FLT (pink) superimposed (right)

Miami Thyroid Oncology Consortium Projects

The Miami Thyroid Oncology Consortium Project (MTOCP) is a translational research cooperative group supported by the Miami Cancer Research Center (MCRC). We carry on more than 80-year legacy of molecular theranostics started with Dr. Saul Hertz that have changed the way thyroid cancer was treated. More recently, molecular oncology has entered into a new paradigm with next generation sequencing (NGS) DNA sequencing technology. Miami Thyroid Oncology Consortium (MTOC) is an academic alliance, primarily including endocrinologists and surgical endocrinologists, formed with the common goal of assembling their intellectual resources to improve patient care through scientific collaboration and translational research. The participation to the consortium is accessible to all physicians involved or interested in the care of patients with thyroid disorders and cancer. The MTOC was established in 2015 and has implemented two projects since then. The first project (MTOCP-1) was a phase -2 theranostic clinical trial exploring the clinical value and dosimetric utility of I-124 PET/CT in thyroid cancer. The second project (MTOCP-2) was a phase-4 theranostic clinical registry investigating the diagnostic and theranostic value of Thyroseq, a NGS-based genomic profiling platform, in thyroid nodules and thyroid cancer.

MTOCP-1

I-124 PET/CT in Patients with Differentiated Thyroid Cancer: Clinical and Quantitative Image Analysis

​

The study was designed as a prospective phase II diagnostic trial with the objectives to determine the imaging characteristics and clinical feasibility of 124I PET/CT imaging for determination of extent of disease and evaluation of RAI kinetics in its physiologic and neoplastic distribution in patients with differentiated thyroid cancer (DTC). Patients with confirmed differentiated (both well-differentiated and poorly differentiated) thyroid cancers were studied. Patients who were newly diagnosed, as well as those who had known or suspected recurrent/metastatic disease, were eligible for the trial. The inclusion criteria for the study included a histological confirmation of DTC and a clinical indication for RAI imaging (detection of known or suspected postoperative residual thyroid bed or nodal disease, extent-of-disease evaluation in known recurrent/metastatic disease, suspicious nodule/mass detected by physical exam, imaging study or fine-needle aspiration, recurrent/metastatic disease suspected by elevated thyroglobulin).

The administered activity for I-124 was 2mCi by oral administration in liquid form. The basic imaging protocol involved a 5 time-point (2-4 h, 24±6 h, 48±6 h, 72±6 h, 96 ± 6h post-administration) whole body PET/CT imaging schedule. The patients were prepared for RAI imaging/dosimetry either by withholding suppressive T4 for an adequate length of time (to achieve a TSH level of >50 at the time of imaging) or by administering recombinant human TSH (rhTSH) (two consecutive daily doses of 0.9 mg IM, in the days preceding the RAI administration). Images were acquired on a Siemens unit with standard settings. All patients who had I-124 imaging, subsequently underwent RAI treatment with I-131 sodium iodide, with administered activities in the range of 100mCi to 300mCi. Post-treatment scans were obtained 5 to 7 days after RAI treatment. Anterior and posterior whole body scans as well as static antero-posterior and oblique neck images were acquired. The localization of I-124 in known/suspected lesions including cervical and remote metastatic sites was documented. I-124 images were compared to post-treatment I-131 images. Comparisons were performed on a by-patient and by-lesion basis. All images were reviewed and analyzed by two experienced nuclear medicine physicians. Quantitative image analysis was performed using semiautomatic region of interest (ROI) methodology. The total functional volume (ml), activity per functional volume (uCi/ml), and cumulated activity (uCi-hr) for remnants, salivary glands and nodal metastases were calculated. The I-124 images were also compared to F-18 FDG images that were acquired prior to RAI treatment in all patients. F-18 FDG PET/CT imaging was performed as part of a comprehensive extent of disease evaluation and not for the purpose of this study per se. Relative sensitivity determination for I-124 PET/CT vs Post-treatment planar I-131 imaging: Comparative image analysis was performed on by-patient, and by-lesion basis. For the purposes of by-lesion analysis, any distinct uptake noted on I-124 PET/CT or post-treatment I-131 planar images was considered “Positive Reference.” A positive reference implies presence of a tumor/remnant with RAI uptake. The true positive (TP) and false negative (FN) designations, and the sensitivity calculation for I-124 and I-131 imaging were performed based on the “positive reference.” The sites of physiologic uptake were carefully identified. A physiologic uptake was not considered as false positive (FP). A true negative (TN) designation was used when both I-124 and I-131 images were negative.

The overall by-lesion detection sensitivity for post-treatment I-131 planar images and pretreatment I-124 PET/CT images were 72% and 92% respectively. By-patient analysis indicated that remnant uptake was demonstrated in all of these patients on both I-124 and I-131 imaging studies. A total of 11 distinct foci of remnant uptake were identified. I-124 distinctly defined remnant uptake in right lobe, left lobe, and isthmus/pyramidal lobe anatomic sites. I-124 was positive in 11/11 (100%). I-131 revealed 9/11 (82%) distinct remnant foci. The two missed foci of remnant uptake by I-131 were in the trajectory of pyramidal lobe in the midline. FDG was negative in all remnant tissue, and none of the thyroid remnants were visually detected as a soft tissue abnormality on CT. The sequential I-124 images consistently demonstrated the maximum remnant activity to occur at 24 hours. After the peak activity was reached, the clearance was monoexponential. The maximum remnant activity ranged from 1.2 to 215.9 uCi with the total functional remnant volume (the total number of voxels within the remnant ROI) ranging from 1 to 60 mL. The activity per volume of remnant tissue ranged from 0.036 to 11.265 uCi/mL. The total cumulated activity within the remnant ranged from 68 to 12757.3 uCi/hr. There were 19 distinct foci of uptake identified as nodal metastasis. I-124 was positive in 16/19 (84%). I-131 revealed 9/19 (47%) distinct nodal uptake. The three negative nodes by I-124 were also negative by I-131 but positive on FDG (Iodine-refractory nodal disease). Nodal metastatic disease demonstrated a pattern of uptake that was significantly different than the thyroid remnant or physiologic salivary gland activity. A protracted retention was identified as a characteristic pattern for metastatic nodal disease. Despite an early period of fairly rapid uptake of radioiodine during the first 4 hours, there was prolonged radioiodine accumulation and retention in nodal disease over time with most lesions becoming visually detectable at 48-72 hours. There were five cases of metastatic lung disease (one micronodular, four macronodular). One case was negative on both I-124 and I-131, but was positive on FDG (Iodine-refractory disease). I-124 was positive in 1/4 (25%), I-131 post-treatment scan was positive in 4/4 (100%) cases. There was only one patient with abdominal disease. This was a very unusual case that presented with metastatic abdominal disease and no primary was identified in the total thyroidectomy specimen. The disease was discovered at an exploratory laparotomy and confirmed by H&E and IHC (for thyroglobulin and TTF-1 staining). A subsequent FDG study showed hepatic, mesenteric nodal and peritoneal disease. I-124 demonstrated positive uptake in all abdominal lesions, however I-131 was only positive in the hepatic disease. In conclusion, the data indicated that I-124 PET/CT imaging was clearly superior, providing exquisite details in terms of location and laterality of the remnant tissue as well as nodal and remote metastases.

https://www.liebertpub.com/doi/full/10.1089/thy.2015.0482

​

MTOCP-2

Genomic Profiling of Nodular Thyroid Disease and Thyroid Cancer

​

This was an open ended prospective registry. The patients who were diagnosed with thyroid nodules underwent a complete clinical and US evaluation. Thyroid nodule biopsy indication and FNA vs core biopsy choices were made entirely on clinical grounds by the managing physicians. Thyroid nodule biopsies were performed at a participating medical or surgical endocrinology office. Following standard cytologic examination, molecular testing using ThyroSeq was performed. The biopsy results were categorized according to Bethesda system. Category I (non-diagnostic), Category II (benign cytology), categories III, IV and V (the indeterminate group), and category VI (malignant cytology) all underwent ThyroSeq analysis. The FNA results and ThyroSeq results of all registry patients were collected. Decisions concerning operative management were made entirely on clinical grounds by the managing physicians. The routine histopathology was processed and reported as per institutional protocols. An expert review was obtained in selected cases where the findings were equivocal. Molecular testing of surgical specimens was performed as indicated. Patients were eligible for registry enrollment if they were undergoing work up for a thyroid nodule. Ultrasound evaluation was done per the established practice protocols. Endocrinologists, surgeons, or radiologists performed US evaluations. A standard nodule US map and descriptions provided by the investigator were used. The decision to biopsy was based on the physician’s clinical assessment of the thyroid nodule. Samples were sent to the reference lab. Sample collection media, tubes, and shipping materials were provided by the reference lab. The managing physicians had the choice to elect performing a core biopsy with or without an FNA as they found appropriate clinically. Decisions to perform surgical intervention were based on a multidisciplinary clinical assessment. Surgical specimens were processed by the facility’s pathology department via routine histopathology. Select surgical specimens were submitted to University of Pittsburgh Medical Center (UPMC) for a second review and molecular testing with ThyroSeq. Operative reports and pathology reports were submitted to the data center for data entry. The US map was completed with information recorded regarding the nodule size, nodule location, and a description of nodule characteristics. Cytology results were recorded, including Bethesda category. Any further distinctions about the site of biopsy were recorded, including if it was performed in a recurrent or metastatic setting, or involving lymph nodes or other sites outside the thyroid. The ThyroSeq results were recorded for all cytology specimens. If operative intervention was performed, the date and type of surgery performed were recorded. Surgical pathology and surgical ThyroSeq results were collected and recorded if available. The project introduced a new concept named “Positive Predictive Value” for performance evaluation. Traditional definitions of False Negative (FN), True Negative (TN), False Positive (FP) and True Positive (TP) relating to nodular thyroid disease are limited due to the narrow use of end results as either cancer or no cancer. In the theranostics context, the definitions of FN, TN, FP and TP are more complex. False Negative (FN) and True Negative (TN): A neoplastic surgical pathology (adenoma, NIFTP, carcinoma) and a Negative Thyroseq were designated as FN. A non-neoplastic surgical pathology and/or Bethesda 2 category cytology and Negative Thyroseq was designated as TN. A Negative Predictive Value was then determined by True Negative / [True negative + False negative] equation. False Positive (FP) and True Positive (TP): False Positive (FP) is a null concept. This term relates to the null set in mathematics, a set that is negligible in some sense. There are no false positive results regarding genomic changes because everything means something. Therefore all positive results are True Positive (TP). We replaced the positive predictive value with Positive Prognostic Value. When a ThyroSeq result was reported to be positive, an interpretation of the positive findings was included in the report to guide the managing physician.

The registry collected data between January 1, 2017 and December 31, 2017. ThyroSeq genomic profiling was performed on all cytology specimens including benign, indeterminate, and malignant. A total of 202 patients with 227 nodules had complete cytology and ThyroSeq paired information. The negative predictive value of Thyroseq was found to be 97% and the positive prognostic value of the test was 95%. There were a total of 68 genomic changes from all cytology specimens including mutations, copy number alterations (CNA), fusions, and abnormal gene expression profiles (GEP) found in 56 nodules. In the Bethesda 2 category, there were 27 nodules with positive Thyroseq results, and 3 of them had more than one genomic change. There were TSHR/GNAS mutations found in 9 out of 27 (33.3%) of the nodules. No surgical confirmation was obtained for these nodules. There were RAS mutations detected in 9 out of 27 (33.3%) nodules. Surgical pathology was obtained in 6 of the 9 RAS-positive nodules revealing 2 PTC follicular variant, 1 PTC classical variant, 2 NIFTP, and 1 hyperplasia (clonality not assessed). The remaining patients with benign nodules and positive ThyroSeq results are under continued clinical observation. In the Bethesda 3 category, there were 20 nodules with positive ThyroSeq results, and 3 of them had more than one genomic change. There were RAS mutations detected in 15 out of 20 (75%) of these nodules. Surgical pathology was obtained in 15 out of the 20 nodules revealing 5 PTC follicular variant, 2 PTC classical variant, 1 follicular carcinoma, 5 follicular adenomas, 1 NIFTP, and 1 hyperplasia (clonality not assessed). In this indeterminate category there were 20 nodules with negative Thyroseq. Surgical pathology was obtained in 5 out of the 20 nodules revealing 1 follicular adenoma, 1 PTC follicular variant, 2 hyperplasia, and 1 chronic thyroiditis with multifocal papillary microcarcinoma. There was 1 nodule with cytology showing suspicious for follicular neoplasm, and ThyroSeq was positive for 3 genomic changes including HRAS mutation, CNA, and GEP. Surgical pathology was obtained from thyroid lobectomy, which showed noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP). ThyroSeq on the surgical specimen also showed the HRAS mutation. In the Bethesda 6 category there were 7 nodules with positive Thyroseq results, and 3 of them had more than one genomic change. One malignant nodule that had a negative Thyroseq proved to be a lymphoma. BRAF mutations were detected in 5 out of 7 of these nodules (71.4%). Surgical pathology was obtained in all 7 nodules revealing 1 PTC follicular variant and 6 PTC classical variant. There were 59 positive Thyroseq results, and 56 were considered true positive. There were 3 false positive results, where nodules had positive ThyroSeq but surgical pathology showed hyperplasia. The positive prognostic value in a theranostics context, was 94.9%. There were 132 true negatives and 4 false negatives Thyroseq results, translating into a Negative Predictive Value of 97.1%. There were 7 nodules (3.1%) with BRAF mutations out of the entire cohort. Out of these, 2 (28.5%) of the nodules had Bethesda 3 cytology and 5 (71.4%) had Bethesda 6 cytology. Surgical pathology was obtained for 6 of these nodules, revealing 2 (33.3%) PTC follicular variant and 4 (66.6%) PTC classic variant. ThyroSeq was obtained on 2 of the surgical specimens, which both confirmed the BRAF mutations. All 7 of the BRAF mutations identified by ThyroSeq on cytology specimens showed point mutations of p. V600E, c. 1799T>A. Out of these 7 nodules, 4 of them were also positive for GEP. There were 25 nodules (11.0%) out of the cohort with positive ThyroSeq for RAS mutations. Out of these, 9 (36%) had H-RAS mutations and 16 (64%) had N-RAS mutations. No K-RAS mutations were identified on cytology. Surgical pathology was obtained on 18 (72%) of the RAS positive nodules, revealing 4 (22.2%) NIFTP, 5 (27.7%) PTC follicular variant, 2 (11.1%) PTC classic variant, 4 (22.2%) follicular adenoma, 1 (5.55%) follicular carcinoma, and 2 (11.1%) nodular hyperplasia. ThyroSeq was obtained on 10 (55.5%) of the surgical specimens, and 9 of these were concordant with the cytology ThyroSeq. In 1 nodule for which surgical pathology showed NIFTP, cytology ThyroSeq was positive for HRAS and surgical ThyroSeq was positive for KRAS. Out of all RAS mutations, 21 nodules (84%) had point mutations of p.Q61R, c.182A>G and 4 nodules (16%) had point mutations of p.Q61K, c.181C>A. The Q61R point mutations were found in 7 H-RAS mutations and 14 N-RAS mutations. The Q61K point mutations were found in 2 H-RAS mutations and 2 N-RAS mutations. Out of all 25 RAS positive nodules, 1 was also positive for CNA, 2 were positive for GEP, and 1 was positive for CNA and GEP.

The knowledge of the genomic profile of thyroid nodules and cancer has proven to be a useful tool for the clinician to tailor the patient’s management strategy. While already established as a clear step in the work up of indeterminate nodules, our study suggested that genomic profiling likely has a broader role in the management of thyroid nodular disease. Theranostically, ThyroSeq genomic profiling is beneficial for the medical and surgical management of thyroid nodules regardless of the Bethesda category. We continue to interrogate the intricate details of certain genomic alteratins to better risk stratify patients and guide clinical decision-making.

Clinical Collaborators

3T Radiology and Research
3T Radiology & Research consistently implements new and efficient programs specifically designed to meet the particular needs of our patients and referral partners.

image.png
image.png

BKnife Therapy and Research

Join our mailing list for updates on publications and events

Thanks for joining!

bottom of page