Therapeutic Strategy in Low-Risk Papillary Thyroid Carcinoma - Long-Term Results of the First Single-Center Prospective Non-Randomized Trial Between 2011 and 2015

Optimal therapeutic strategy in low advanced papillary thyroid carcinoma (PTC) is still a matter of debate. The management differs depending on the country. A prospective non-randomized study was performed to evaluate whether less extensive surgery could be a safe, acceptable, and sufficient therapeutic option in PTC cT1N0M0 patients. The present paper summarizes the results of over a 5-year follow-up.

MATERIAL

Our prospective group (PG) treated between 2011 and 2015 consisted of 139 patients with cT1aN0M0 PTC who underwent lobectomy (LT) as initial surgical treatment (PGcT1aN0M0 group) and 102 cT1bN0M0 patients in whom total thyroidectomy (TT) with unilateral central neck dissection (CND) was performed (PGcT1bN0M0). PG was compared with the retrospective group (RG) of patients who underwent TT with bilateral CND between 2004 and 2006: 103 cT1aN0M0 patients (RGcT1aN0M0) and 91cT1bN0M0 (RGcT1bN0M0). The risks of reoperation, cancer relapse and postoperative complications were analyzed.

RESULTS

Only 12 cT1aN0M0 patients (7.6%) withdrew from the trial and underwent TT with bilateral CND. Over 90% of patients accepted less extensive surgery. In 4 cT1aN0M0 cases, TT with CND was performed due to lymph node metastases found intraoperatively. The initial clinical stage according to the TNM/AJCC 7^th edition was confirmed histologically in 77% of cases in PGT1aN0M0 and in 72% in PGT1bN0M0, respectively. 24 PGcT1aN0M0 patients were reoperated on. In this group, cancer lesions in the postoperative histological specimens were found in 8 cases (32%). Five-year disease-free survival (DFS) was excellent. However, no statistically significant differences were found between PG and RG groups (99.3% in PGcT1aN0M0 and 99.0%, in RGcT1aN0M0; p = 0.41 and 98%, in PGcT1bN0M0 and 94.4% in RGcT1bN0M0; p=0.19). No significant differences were observed in the incidence of early paresis of the recurrent laryngeal nerves between PG and RG. However, as predicted, LT completely eliminated the risk of postoperative hypoparathyroidism.

SUMMARY

The results of the prospective clinical trial confirm that less extensive surgery in adequately selected low-advanced PTC patients is both safe and sufficient.

Current status of the prognostic molecular markers in medullary thyroid carcinoma

Medullary thyroid cancer (MTC) is a rare thyroid malignancy, which arises from parafollicular C-cells. It occurs in the hereditary or sporadic form. Hereditary type is a consequence of activation of the RET proto-oncogene by germline mutations, whereas about 80% of sporadic MTC tumors harbor somatic, mainly RET or rarely RAS mutations. According to the current ATA guidelines, a postoperative MTC risk stratification and long-term follow-up are mainly based on histopathological data, including tumor stage, the presence of lymph node and/or distant metastases (TNM classification), and serum concentration of two biomarkers: calcitonin (Ctn) and carcinoembryonic antigen (CEA). The type of RET germline mutation also correlates with MTC clinical characteristics. The most common and the best known RET mutation in sporadic MTC, localized at codon 918, is related to a more aggressive MTC course and poorer survival. However, even if histopathological or clinical features allow to predict a long-term prognosis, they are not sufficient to select the patients showing aggressive MTC courses requiring immediate treatment or those, who are refractory to different therapeutic methods. Besides the RET gene mutations, there are currently no other reliable molecular prognostic markers. This review summarizes the present data of genomic investigation on molecular prognostic factors in medullary thyroid cancer.

Differences in Gene Expression Profile of Primary Tumors in Metastatic and Non-Metastatic Papillary Thyroid Carcinoma-Do They Exist?

Molecular mechanisms of distant metastases (M1) in papillary thyroid cancer (PTC) are poorly understood. We attempted to analyze the gene expression profile in PTC primary tumors to seek the genes associated with M1 status and characterize their molecular function. One hundred and twenty-three patients, including 36 M1 cases, were subjected to transcriptome oligonucleotide microarray analyses: (set A-U133, set B-HG 1.0 ST) at transcript and gene group level (limma, gene set enrichment analysis (GSEA)). An additional independent set of 63 PTCs, including 9 M1 cases, was used to validate results by qPCR. The analysis on dataset A detected eleven transcripts showing significant differences in expression between metastatic and non-metastatic PTC. These genes were validated on microarray dataset B. The differential expression was positively confirmed for only two genes: IGFBP3, (most significant) and ECM1. However, when analyzed on an independent dataset by qPCR, the IGFBP3 gene showed no differences in expression. Gene group analysis showed differences mainly among immune-related transcripts, indicating the potential influence of tumor immune infiltration or signal within the primary tumor. The differences in gene expression profile between metastatic and non-metastatic PTC, if they exist, are subtle and potentially detectable only in large datasets.

TERT Promoter Mutations and Their Impact on Gene Expression Profile in Papillary Thyroid Carcinoma

BACKGROUND

Telomerase reverse transcriptase promoter (TERTp) mutations are related to a worse prognosis in various malignancies, including papillary thyroid carcinoma (PTC). Since mechanisms responsible for the poorer outcome of TERTp(+) patients are still unknown, searching for molecular consequences of TERTp mutations in PTC was the aim of our study.

METHODS

The studied cohort consisted of 54 PTCs, among them 24 cases with distant metastases. BRAF V600E, RAS, and TERTp mutational status was evaluated in all cases. Differences in gene expression profile between TERTp(+) and TERTp(-) PTCs were examined using microarrays. The evaluation of signaling pathways and gene ontology was based on the Gene Set Enrichment Analysis.

RESULTS

Fifty-nine percent (32/54) of analyzed PTCs were positive for at least one mutation: 27 were BRAF(+), among them eight were TERTp(+), and 1 NRAS(+), whereas five other samples harbored RAS mutations. Expression of four genes significantly differed in BRAF(+)TERTp(+) and BRAF(+)TERTp(-) PTCs. Deregulation of pathways involved in key cell processes was observed.

CONCLUSIONS

TERTp mutations are related to higher PTC aggressiveness. CRABP2 gene was validated as associated with TERTp mutations. However, its potential use in diagnostics or risk stratification in PTC patients needs further studies.

Impact of the Tumor Microenvironment on the Gene Expression Profile in Papillary Thyroid Cancer

Transcriptome of papillary thyroid cancer (PTC) is well characterized and correlates with some prognostic and genotypic factors, but data addressing the interaction between PTC and tumor microenvironment (TME) are scarce. Therefore, in the present study, we aimed to assess the impact of TME on gene expression profile in PTC. We evaluated the gene expression profile in PTC and normal thyroid cells isolated by laser capture microdissection and in whole tissue slides corresponding to the entire tumor. We included 26 microdissected samples for gene expression analysis (HG-U133 PLUS 2.0, Affymetrix, currently Thermo Fisher Scientific USA): 15 PTC samples, 11 samples of normal thyrocytes, and 30 whole slides (15 PTC and 15 normal thyroid). Transcripts were divided into three groups: differentially expressed both in microdissected and whole slides, transcripts differently expressed in microdissected samples and not changed in whole slides, and transcripts differentially expressed in whole slides and not changed in microdissected samples. Eleven genes were selected for validation in an independent set of samples; among them, four genes differentiated only microdissected PTC and normal cells. Two genes (PTCSC and CTGF) were confirmed. One gene (FOS) was not confirmed by the validation, whereas EGR1 was also significant in whole slide analysis. The other seven genes (TFF3, FN1, MPPED2, MET, KCNJ2, TACSTD2, and GALE) showed differentiated expression in microdissected thyrocytes and in whole tumor slides. Most of identified genes were related to the tumor-microenvironment interaction and confirmed the crosstalk between TME and cancer cells.

Early Diagnosis of Low-Risk Papillary Thyroid Cancer Results Rather in Overtreatment Than a Better Survival

We are witnessing a rapid worldwide increase in the incidence of papillary thyroid carcinoma (PTC) in the last thirty years. Extensive implementation of cancer screening and wide availability of neck ultrasound or other imaging studies is the main reason responsible for this phenomenon. It resulted in a detection of a growing number of clinically asymptomatic PTCs, mainly low-risk tumors, without any beneficial impact on survival. An indolent nature of low-risk PTC, particularly papillary thyroid microcarcinoma (PTMC), and the excellent outcomes raise an ongoing discussion regarding the adequacy of treatment applied. The question of whether PTMC is overtreated or not is currently completed by another, whether PTMC requires any treatment. Current ATA guidelines propose less extensive preoperative diagnostics and, if differentiated thyroid cancer is diagnosed, less aggressive surgical approach and limit indications for postoperative radioiodine therapy. However, in intrathyroidal PTMCs in the absence of lymph node or distant metastases, active surveillance may constitute alternative management with a low progression rate of 1%-5% and without any increase in the risk of poorer outcomes related to delayed surgery in patients, in whom it was necessary. This review summarizes the current knowledge and future perspectives of active surveillance in low-risk PTC.

Coexistence of TERT Promoter Mutations and the BRAF V600E Alteration and Its Impact on Histopathological Features of Papillary Thyroid Carcinoma in a Selected Series of Polish Patients

TERT promoter (TERTp) mutations are important factors in papillary thyroid carcinomas (PTCs). They are associated with tumor aggressiveness, recurrence, and disease-specific mortality and their use in risk stratification of PTC patients has been proposed. In this study we investigated the prevalence of TERTp mutations in a cohort of Polish patients with PTCs and the association of these mutations with histopathological factors, particularly in coexistence with the BRAF V600E mutation. A total of 189 consecutive PTC specimens with known BRAF mutational status were evaluated. TERTp mutations were detected in 8.5% of cases (16/189) with the C228T mutation being the most frequent. In six of the PTC specimens (3.2%), four additional TERTp alterations were found, which included one known polymorphism (rs2735943) and three previously unreported alterations. The association analysis revealed that the TERTp hotspot mutations were highly correlated with the presence of the BRAF V600E mutation and their coexistence was significantly associated with gender, advanced patient age, advanced disease stage, presence of lymph node metastases, larger tumor size, and tumor-capsule infiltration. While correlations were identified, the possibility of TERTp mutations being key molecular modulators responsible for PTC aggressiveness requires further studies.

Transcriptomic population markers for human population discrimination

Background

Numerous studies have demonstrated significant differences in the expression level across continental human populations. Most of published results were performed on B-cell lines materials examined under specific laboratory conditions, without further validation in a primary biological material. The goal of our study was to identify mRNA markers characterized by a significant and stable difference in the gene expression profile in Caucasian and Chinese populations, both in the commercially available B-lymphocyte cell lines and in the primary samples of the peripheral blood.

Results

The preliminary selection of population-differentiating transcripts was based on Illumina expression microarray analysis of the representative group of ethnically-specified B-lymphocyte cell lines. Twenty genes with the inter-population difference in the mean expression characterized by the at least 1.5-fold change and FDR <  0.05 were identified. Subsequently, a two-step validation procedure was carried out. In the first step, a subset of selected population- differentiating transcripts was tested in the independent set of B-lymphocyte cell lines, using TLDA cards. Based on TLDA analysis, three transcripts representing Fch > 2 were chosen for validation. The differentiating status was confirmed for all of them: UTS2, UGT2B17 and SLC7A7. The mean expression of UTS2 was higher in CHB (25.8-fold change compared to CEU), while the expression of UGT2B17 and SLC7A7 was higher in CEU (3.2- and 2.2-fold change, respectively).

In the next validation step, two transcripts were verified in the primary biological material. As an ultimate result of our study, two mRNA markers (UTS2 and UGT2B17) exhibiting population differences in the expression level in both B-cell line and in the blood were identified. Further statistical analysis confirmed the discriminatory potential of these two markers.

Conclusions

An inter-population differences on the level of gene expression were identified in both B-cell lines and peripheral blood samples. These findings may have a practical application in the field of forensic science. In particular, these transcripts, targeted by specific probes, may be used as population-specific targets in the efforts aiming to separate mixture of blood from individuals of different populations. Notwithstanding, these results have to be confirmed on extended population group.

Electronic supplementary material

The online version of this article (10.1186/s12863-018-0663-2) contains supplementary material, which is available to authorized users.

Heterogeneity of Thyroid Cancer

There are 5 main histological types of thyroid cancers (TCs): papillary, follicular (also known as differentiated), poorly differentiated, anaplastic (the most aggressive form), and medullary TC, and only the latter arises from thyroid C cells. These different forms of TCs show significant variability, both among and within tumours. This great variation is particularly notable among the first 4 types, which all originate from thyroid follicular cells. Importantly, this heterogeneity is not limited to histopathological diversity only but is also manifested as variation in several genetic and/or epigenetic alterations, the numbers of interactions between the tumour and surrounding microenvironment, and interpatient differences, for example. All these factors contribute to the great complexity in the development of a tumour from cancer cells. In the present review, we summarise the knowledge accumulated about the heterogeneity of TCs. Further research in this direction should help to gain a better understanding of the underlying mechanisms contributing to the development and diversity of TCs, paving the way toward more effective treatment strategies.

Current Advances in Thyroid Cancer Management. Are We Ready for the Epidemic Rise of Diagnoses?

A rising incidence of thyroid cancers (TCs) mainly small tumors, observed during recent years, lead to many controversies regarding treatment strategies. TCs represent a distinct molecular background and clinical outcome. Although in most cases TCs are characterized by a good prognosis, there are some aggressive forms, which do not respond to standard treatment. There are still some questions, which have to be resolved to avoid dangerous simplifications in the clinical management. In this article, we focused on the current advantages in preoperative molecular diagnostic tests and histopathological examination including noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP). We discussed the controversies regarding the extent of thyroid surgery and adjuvant radioiodine therapy, as well as new treatment modalities for radioiodine-refractory differentiated thyroid cancer (RR-DTC). Considering medullary thyroid cancer (MTC), we analyzed a clinical management based on histopathology and RET (ret proto-oncogene) mutation genotype, disease follow-up with a special attention to serum calcitonin doubling time as an important prognostic marker, and targeted therapy applied in advanced MTC. In addition, we provided some data regarding anaplastic thyroid cancer (ATC), a highly lethal neoplasm, which lead to death in nearly 100% of patients due to the lack of effective treatment options.

The prevalence of somatic RAS mutations in medullary thyroid cancer - a Polish population study

INTRODUCTION

Somatic RET mutations are detectable in two-thirds of sporadic cases of medullary thyroid cancer (MTC). Recent studies reported a high proportion of RAS somatic mutations in RET negative tumours, which may indicate RAS mutation as a possible alternative genetic event in sporadic MTC tumorigenesis. Thus, the aim of the study was to evaluate the frequency of somatic RAS mutations in sporadic medullary thyroid cancer in the Polish population and to relate the obtained data to the presence of somatic RET mutations.

MATERIAL AND METHODS

Somatic mutations (RET, RAS genes) were evaluated in 78 snap-frozen MTC samples (57 sporadic and 21 hereditary) by direct sequencing. Next, three randomly selected RET-negative MTC samples were analysed by the next generation sequencing.

RESULTS

RAS mutation was detected in 26.5% of 49 sporadic MTC tumours. None of all the analysed samples showed N-RAS mutation. When only RET-negative samples were considered, the prevalence of RAS mutation was 68.7%, compared to 6% observed in RET-positive samples. Most of these mutations were located in H-RAS codon 61 (72%). None of 21 hereditary MTC samples showed any RAS mutations.

CONCLUSIONS

RAS mutations constitute a frequent molecular event in RET-negative sporadic medullary thyroid carcinoma in Polish patients. However, their role in MTC tumorigenesis remains unclear.

Differences in the transcriptome of medullary thyroid cancer regarding the status and type of RET gene mutations

Medullary thyroid cancer (MTC) can be caused by germline mutations of the RET proto-oncogene or occurs as a sporadic form. It is well known that RET mutations affecting the cysteine-rich region of the protein (MEN2A-like mutations) are correlated with different phenotypes than those in the kinase domain (MEN2B-like mutations). Our aim was to analyse the whole-gene expression profile of MTC with regard to the type of RET gene mutation and the cancer genetic background (hereditary vs sporadic). We studied 86 MTC samples. We demonstrated that there were no distinct differences in the gene expression profiles of hereditary and sporadic MTCs. This suggests a homogeneous nature of MTC. We also noticed that the site of the RET gene mutation slightly influenced the gene expression profile of MTC. We found a significant association between the localization of RET mutations and the expression of three genes: NNAT (suggested to be a tumour suppressor gene), CDC14B (involved in cell cycle control) and NTRK3 (tyrosine receptor kinase that undergoes rearrangement in papillary thyroid cancer). This study suggests that these genes are significantly deregulated in tumours with MEN2A-like and MEN2B-like mutations; however, further investigations are necessary to demonstrate any clinical impact of these findings.

Ratio of proliferation markers and HSP90 gene expression as a predictor of pathological complete response in breast cancer neoadjuvant chemotherapy

INTRODUCTION

Prediction of response to preoperative breast cancer chemotherapy may offer a substantial optimization of medical management of this disease. The most efficient prediction would be done a priori, before the start of chemotherapy and based on the biological features of patient and tumor. Numerous markers have been proposed but none of them has been applied as a routine. The role of MKI67 and HSP90 expression has been recently suggested to predict treatment sensitivity in HER2-positive breast cancer. The aim of this study was to validate the utility of proliferation based markers (MKI67 and CDK1) and heat shock proteins (namely HSP90) to predict response to chemotherapy in cohort of breast cancer patients treated preoperatively.

MATERIAL AND METHODS

Ninety-three patients with breast cancer, all females, mean age 42.2 years, among them 32% T1-T2 patients, 49% T3 patients and 13% with T4 tumor stage, 27% N0, 42% N1, 16% N2, 15% N3 were subjected to initial chemotherapy. The majority of patients (86%) received anthracycline and taxane chemotherapy. Among the patients there were 9 individuals with metastatic disease (M1) at initial presentation, and 11 patients were not treated surgically after initial chemotherapy (no sufficient disease response). From 82 patients operated on, 20 patients (24%) showed pathological complete response (pCR), while in 62 patients there was no pCR. 42% of patients were hormone-sensitive HER2-negative, 20% hormone-sensitive HER2-positive, 9% only HER-positive and 29% with triple negative breast cancer. Four gene transcripts (MKI67, cyclin-dependent kinase 1 [CDK1], heat shock proteins HSP90AA1 and HSP- 90AB1) were analyzed in total RNA isolated from single core obtained during preoperative core needle biopsy by quantitative real-time PCR with fluorescent probes (Universal Probe Library, Roche). Results were normalized to the panel of reference genes.

RESULTS

There were no statistically significant differences in MKI67 and CDK1 expression between pCR and no pCR groups (p = 0.099 and 0.35, respectively), although the median expression of both genes was slightly higher in pCR group. In contrast, both HSP90AA1 and HSP90AB1 transcripts showed decreased expression in pCR group (medians 0.77 and 0.55) when compared to no p CR group (median 0.86 and 0.73), statistically significant for HSP90AA1 (p = 0.031) and of borderline significance for HSP90AB1 (p = 0.054). The most significant predictor of pCR was the ratio of CDK1 transcript to HSP90AA transcript. This ratio was significantly higher in CR group (median 0.99) than in no CR group (median 0.68, p = 0.0023), and showed a potential diagnostic utility (area under receiver operating characteristic [ROC] curve 0.72).

CONCLUSIONS

HSP90AA1 and AB1 genes exhibit low expression in breast cancers highly sensitive to chemotherapy and may indicate the patients with higher probability of pathological complete response. The ratio of HSP90AA1 to proliferation-related markers (CDK1 or MKI67) may be even better predictor of pCR chance, with higher expression of proliferation genes and lower stress response in patients sensitive to chemotherapy.

Anterior gradient protein 2 promotes survival, migration and invasion of papillary thyroid carcinoma cells

BACKGROUND

Through a transcriptome microarray analysis, we have isolated Anterior gradient protein 2 (AGR2) as a gene up-regulated in papillary thyroid carcinoma (PTC). AGR2 is a disulfide isomerase over-expressed in several human carcinomas and recently linked to endoplasmic reticulum (ER) stress. Here, we analyzed the expression of AGR2 in PTC and its functional role.

METHODS

Expression of AGR2 was studied by immunohistochemistry and real time PCR in normal thyroids and in PTC samples. The function of AGR2 was studied by knockdown in PTC cells and by ectopic expression in non-transformed thyroid cells. The role of AGR2 in the ER stress was analyzed upon treatment of cells, expressing or not AGR2, with Bortezomib and analyzing by Western blot the expression levels of GADD153.

RESULTS

PTC over-expressed AGR2 at mRNA and protein levels. Knockdown of AGR2 in PTC cells induced apoptosis and decreased migration and invasion. Ectopic expression of AGR2 in non-transformed human thyroid cells increased migration and invasion and protected cells from ER stress induced by Bortezomib.

CONCLUSIONS

AGR2 is a novel marker of PTC and plays a role in thyroid cancer cell survival, migration, invasion and protection from ER stress.

Hepatocytes response to interferon alpha levels recorded after liver resection

Extensive damage of liver parenchyma stimulates hepatic cells to transit from quiescence to proliferation with eventual restoration of liver mass and function. Our recent studies have revealed upregulated expression of interferon (IFN)-α and its antiviral activity during the early hours after partial hepatectomy. In this study, we analyzed the response of primary hepatocytes from intact liver to IFN-α mimicking its levels (250 U/mL) during the transition period of liver restoration. The gene expression profile was analyzed with rat genome array 230 2.0 (Affymetrix). After 3- and 6-h treatment we identified respectively 28 and 124 differentially expressed genes responsible for autonomous changes in hepatocytes and those involving non-parenchymal cells in a concerted response to IFN-α. The response has an energy sparing character and affects all levels of gene expression. The factors activating T cells and apoptosis are opposed by those restricting the signal propagation, inhibiting T cells activation, and promoting survival. The partial resemblance between the specific in vitro response to IFN-α and the processes in regenerating liver is discussed. Our study opens the way to a more focused investigation of the liver cell response to quasiphysiological dose of IFN-α.

Molecular differential diagnosis of follicular thyroid carcinoma and adenoma based on gene expression profiling by using formalin-fixed paraffin-embedded tissues

Background

Differential diagnosis between malignant follicular thyroid cancer (FTC) and benign follicular thyroid adenoma (FTA) is a great challenge for even an experienced pathologist and requires special effort. Molecular markers may potentially support a differential diagnosis between FTC and FTA in postoperative specimens. The purpose of this study was to derive molecular support for differential post-operative diagnosis, in the form of a simple multigene mRNA-based classifier that would differentiate between FTC and FTA tissue samples.

Methods

A molecular classifier was created based on a combined analysis of two microarray datasets (using 66 thyroid samples). The performance of the classifier was assessed using an independent dataset comprising 71 formalin-fixed paraffin-embedded (FFPE) samples (31 FTC and 40 FTA), which were analysed by quantitative real-time PCR (qPCR). In addition, three other microarray datasets (62 samples) were used to confirm the utility of the classifier.

Results

Five of 8 genes selected from training datasets (ELMO1, EMCN, ITIH5, KCNAB1, SLCO2A1) were amplified by qPCR in FFPE material from an independent sample set. Three other genes did not amplify in FFPE material, probably due to low abundance. All 5 analysed genes were downregulated in FTC compared to FTA. The sensitivity and specificity of the 5-gene classifier tested on the FFPE dataset were 71% and 72%, respectively.

Conclusions

The proposed approach could support histopathological examination: 5-gene classifier may aid in molecular discrimination between FTC and FTA in FFPE material.

Estimation of groin recurrence risk in patients with squamous cell vulvar carcinoma by the assessment of marker gene expression in the lymph nodes

Background

Regional lymph node (LN) status is a well-known prognostic factor for vulvar carcinoma (VC) patients. Although the reliable LN assessment in VC is crucial, it presents significant diagnostic problems. We aimed to identify specific mRNA markers of VC dissemination in the LN and to address the feasibility of predicting the risk of nodal recurrence by the patterns of gene expression.

Methods

Sentinel and inguinal LN samples from 20 patients who had undergone surgery for stage T_1-3, N_0-2, M₀ primary vulvar squamous cell carcinoma were analyzed. Gene expression profiles were assessed in four metastatic [LN(+)] and four histologically negative [LN(−)] lymph node samples obtained from four VC patients, by the Affymetrix U133 Plus 2.0 gene expression microarrays. Of the set of genes of the highest expression in the metastatic LNs compared to LN(−), seven candidate marker genes were selected: PERP, S100A8, FABP5, SFN, CA12, JUP and CSTA, and the expression levels of these genes were further analyzed by the real-time reverse transcription polymerase chain reaction (qRT-PCR) in 71 LN samples.

Results

All of the seven genes in question were significantly increased in LN(+) compared to LN(−) samples. In the initial validation of the seven putative markers of metastatic LN, the Cox proportional hazard model pointed to SFN, CA12 and JUP expression to significantly relate to the time to groin recurrence in VC patients.

Conclusions

Our findings first provided evidence that SFN, CA12 and JUP have a potential of marker genes for the prediction of the groin recurrence LN in VC patients.

Variability of gene expression profile in breast cancer core biopsy: Impact on prognostic and predictive multigene signatures

e21049

Background: Gene expression profiling has been shown to be effective in the analysis of postoperative tumor samples in breast cancer. However, when small specimens like core biopsy samples are considered, the small size of the collected material makes it difficult to obtain high tumor percentage in the specimen. Thus, we tested the strategy of obtaining three independent cores for molecular analysis and assessed the influence of the stability of different prognostic and predictive signatures. Methods: We prospectively collected breast core biopsies from 82 consecutive patients treated by pre-operative chemotherapy. In each patient, three cores from different tumor areas were sampled for molecular testing, independent of the cores collected for histopathological analysis. RNA was isolated by QIAGEN RNeasy kits, gene expression profiling was carried out using Affymetrix HG-U133 Plus 2.0 microarrays. Results: In 27 patients, three independent specimens were analyzed by microarray gene expression profiling (in total 81 samples). When this training set was analyzed by unsupervised Principal Component Analysis, the overall concordance between the three tumor cores was observed, but no such concordance was seen for three tumors (for each with one significant outlier). When we assessed the set of chosen 20 prognostic and predictive signatures, we confirmed that the homogeneity of gene expression within the signatures is significantly better than for random sets of genes, but we observed the notable differences between the signatures. The heterogeneity decreased when genes with low between-patient variance were excluded; they also showed a higher intra-patient variability of gene expression. We also assessed the heterogeneity of single expression markers and furher validated our findings on an independent set of 55 patients. Conclusions: The use of three independent cores for gene expression testing in breast cancer may be a successful strategy to overcome tumor heterogeneity and sampling error and result in more stable results of prognostic and/or predictive signatures. Supported by Polish National Science Center grant N402 6861 40

Clinical and biologic factors associated with time to progression in patients treated by first-line palliative FOLFOX chemotherapy in metastatic colorectal cancer

e14159

Background: Chemotherapy is the mainstay of treatment patients with metastatic colorectal cancer. The choice of first-line treatment is difficult, especially when cost-effectiveness is the primary constraint. Thus, the optimal use of the clinical and biological factors influencing prognosis would be beneficial. The aim of our study was to identify factors affecting the time to progression (TTP) after first-line FOLFOX chemotherapy in palliative setting. Methods: The study is a retrospective analysis of the series of consecutive patients from large cancer center in south of Poland. The analysis was carried out in the group of 180 patients (37.2% of women), treated between 2007-2010 by FOLFOX-4 regimen and followed-up with the median time of observation 16.3 month. Patients received chemotherapy with median time of 5.0 months, median 10 cycles. Progression was defined as PD by RECIST criteria, death due to disease or sympomatic deterioration. 94 paraffin blocks were available for KRAS testing and gene expression analysis by real-time PCR. Results: The median TTP (counted from beginning of chemotherapy) was 8.6 month, the median TTP from the end of treatment was 3.4 month. We tested the wide range of clinical variables associated with both disease and and patient status by multivariate Cox regression analysis. Two most potent independent negative predictors were identified: the presence of massive lymph node involvement as assessed in CT scan before palliative treatment (>10 nodes enlarged) – hazard ratio 2.82, p<0.001; and tumor grade in histopathological assessment (grade 3 vs. grade 1-2) – hazard ratio 2.76, p=0.003. KRAS status was not prognostic for the TTP; Ki67 gene expression measurement by quantitative RT-PCR did not predict better that the routine assessment of grade. Patients with either grade 3 or lymph node involvement showed significantly shorter TTP (median 5.7 months vs 9.7 months in patients with none of these factors). Conclusions: High tumor grade and the massive involvement of lymph nodes worsen prognosis and shorten time to progression in patients treated with first line palliative FOLFOX chemotherapy.

Expression profiles of signal transduction genes in ex vivo drug-resistant pediatric acute lymphoblastic leukemia

AIM

Identification of signal transduction genes related to drug resistance in pediatric acute lymphoblastic leukemia (ALL).

MATERIALS AND METHODS

Ex vivo drug resistance in 107 children, divided into study and validation groups, was determined by the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-tetrazoliumbromide (MTT) drug resistance assay. The gene expression profile was identified by microarray analysis and validated by quantitative reverse transcription polymerase chain reaction.

RESULTS

A set of five genes involved in signal transduction, present in each resistance profile, was identified. The expression of four genes was up-regulated: Gardner-Rasheed feline sarcoma viral oncogene homolog, v-Fgr (FGR), S100 calcium binding protein A11 (S100A11), formyl peptide receptor 1 (FPR1), ArfGAP with RhoGAP domain, ankyrin repeat and PH1 domain (ARAP1), while the expression of growth hormone 1 (GH1) was found to be down-regulated in resistant leukemia blasts.

CONCLUSION

Ex vivo exposure of leukemia cells to anticancer drugs induces changes in the expression of genes involved in cell signaling pathways. These genes play an important role in the mechanism of cellular drug resistance.

Molecular signature of cell cycle exit induced in human T lymphoblasts by IL-2 withdrawal

Background

The molecular mechanisms of cell cycle exit are poorly understood. Studies on lymphocytes at cell cycle exit after growth factor deprivation have predominantly focused on the initiation of apoptosis. We aimed to study gene expression profile of primary and immortalised IL-2-dependent human T cells forced to exit the cell cycle by growth factor withdrawal, before apoptosis could be evidenced.

Results

By the Affymetrix microarrays HG-U133 2.0 Plus, 53 genes were distinguished as differentially expressed before and soon after IL-2 deprivation. Among those, PIM1, BCL2, IL-8, HBEGF, DUSP6, OSM, CISH, SOCS2, SOCS3, LIF and IL13 were down-regulated and RPS24, SQSTM1, TMEM1, LRRC8D, ECOP, YY1AP1, C1orf63, ASAH1, SLC25A46 and MIA3 were up-regulated. Genes linked to transcription, cell cycle, cell growth, proliferation and differentiation, cell adhesion, and immune functions were found to be overrepresented within the set of the differentially expressed genes.

Conclusion

Cell cycle exit of the growth factor-deprived T lymphocytes is characterised by a signature of differentially expressed genes. A coordinate repression of a set of genes known to be induced during T cell activation is observed. However, growth arrest following exit from the cell cycle is actively controlled by several up-regulated genes that enforce the non-dividing state. The identification of genes involved in cell cycle exit and quiescence provides new hints for further studies on the molecular mechanisms regulating the non-dividing state of a cell, the mechanisms closely related to cancer development and to many biological processes.

Gene expression profile analysis in laryngeal cancer by high-density oligonucleotide microarrays

The assessment of gene expression profile in laryngeal cancer shall allow to implement molecular biology methods in diagnostics, as well as in prognosis of the course of disease. Thus, it may influence the choice of the most optimal decisions in regards to the method of treatment, extent of surgical procedure, or the necessity of adding post-operative radiotherapy. The aim of the project was to analyse the gene expression profile of laryngeal cancer using oligonucleotide microarrays, aiming to derive novel molecular markers for that carcinoma. The study comprised a group of 14 patients (12 males and 2 females) with squamous cell laryngeal carcinoma, diagnosed and surgically treated between 2005 - 2007 in the ENT Department of the Silesian Medical University in Katowice, Poland. RNA was isolated from frozen tissue fragments. To assess gene expression profile, high density oligonucleotide microarrays (Affymetrix U 133 Plus 2.0) were applied, with over 54 thousand probesets for over 47 thousand transcripts. Four genes, previously not assesed in diagnostic context in laryngeal carcinoma, seemed to be valuable markers of that neoplasm. These are: metalloproteinase ADAM12, cycline-dependent kinase 2 - CDK2, kinesine 14 - KIF14, suppressor 1 of checkpoint - CHES1.

Prediction of distant relapse risk in stage I-II non-small cell lung cancer (NSCLC) by gene expression profiling

7657

Background: Our aim was to determine the genes predictive for relapse-free and overall survival in stage I-II NSCLC. Methods: We analyzed the gene expression profiles in lung cancer specimens collected from 70 NSCLC patients (pts) who underwent curative pulmonary resection between 1999 and 2004 in two Polish centers (Gdansk, Bialystok). There were 54 men and 16 women aged 37–77 yrs (median 62.5 yrs), 45 with squamous cell ca, 22 with adenoca and 3 with large cell ca. Eight pts were staged pT1, 59 pT2 and 3 pT3; there were 49 and 21 pN0 and pN1 pts, respectively. 30 pts had a relapse and 32 pts died (median follow-up 36 months). Samples of tumor tissue were collected intraoperatively and snap-frozen, total RNA was isolated and gene expression profiling was carried out by Affymetrix HG-U133 2.0 Plus oligonucleotide microarray. Samples were pre-processed with RMA algorithm, gene selection was carried out by Support Vector Machines and Bayesian Compound Covariate Classifier, using own procedures and BRB-Array software developed by Simon and Peng Lam. Survival time prediction was carried out by method developed by Bair and Tibshirani (PLoS Biology 2004). Results: Based on the microarray gene expression profiling, the relapse could be predicted with 75.0% specificity and 53.3% sensitivity (positive predictive value [PPV] 61.5%, negative predictive value [NPV] 68.2%). The classifier, obtained by cross-validation of 70-sample dataset, consisted of 170 transcripts. Further gene selection was based on the prediction of the relapse-free survival: 1,919 genes, selected by fitting Cox proportional hazard model (p<0.05) and further used to predict survival by 4 principal components, distinguished between pts with high and low risk of relapse (p<0.05, log-rank test). The prediction of death was possible with 66.7% specificity and 57.1% sensitivity (PPV 53.3%, NPV 70%), but the distinction between high- and low-risk pts was significantly weaker than based on lymph node involvement (N0 vs. N1). Thus, for the final selection of genes this clinical variable was incorporated into the model as a covariate. Conclusions: Prediction of the risk of relapse in stage I-II NSCLC based on the gene expression profile is feasible, with NPV of 68.2%.

No significant financial relationships to disclose.

Molecular markers to differentiate between pancreatic cancer and normal pancreas/chronic pancreatitis: Gene expression profiling study

21150

Background: The aim of the study was to analyze the gene expression profile of pancreatic cancer by multivariate methods of class prediction. Methods: The snap-frozen or RNA-later preserved samples of 18 pancreatic adenocarcinomas, 9 chronic pancreatitis cases and 6 specimens collected from microscopically unchanged pancreas (N/CP) were analyzed by HG-U133 Plus 2.0 oligonucleotide microarrays (Affymetrix). The obtained dataset was pre-processed using GC-RMA method, gene selection was carried out both by class comparison methods (Welch test with Benjamini-Hochberg correction, False Discovery Rate FDR<5%) and by our own algorithms of class prediction, based on Support Vector Machines technique (Recurrent Feature Replacement and Bootstrap-Based Feature Ranking). Real- time quantitative PCR (Q-PCR) was carried out on Applied Biosystems 7900 HT machine, with Universal Probe Library (Roche) fluorescent probes and normalization by three reference genes index (geNorm, Vandesompele et al.). Results: We compared gene expression profiles between pancreatic cancer samples and N/CP specimens. 23850 probesets significantly differentiated between these three classes (FDR<5%). No ideal discrimination between cancer and N/CP samples was possible by any of single markers. We selected the optimal multi- gene classifier by Support Vector Machines, using Bootstrap-Based Feature Ranking method. The smallest classifier resulting in 100% accuracy consisted of three genes, 45 genes were included in more than half of the diagnostic genesets obtained during bootstrapping process. 14 genes were selected for Q-PCR validation, again none of them ideally discriminated between cancer and normal specimens, with the area under the receiver-operating-characteristic curve ranging from 0.82–0.93. Three-gene combinations allowed for proper classification of all samples. Conclusions: The multi-gene classifier, derived both by microarray technique and Q-PCR analysis, is properly discriminating between pancreatic cancer and chronic pancreatitis/normal pancreas. At least three genes must be included in the classifier to obtain satisfying accuracy. MO and MJ equally contributed to the study.

No significant financial relationships to disclose.

Expression pattern of genes in peripheral blood mononuclear cells in diabetic nephropathy

AIMS

Only one-third of Type 1 diabetes patients develop diabetic nephropathy, and a genetic predisposition is postulated. To obtain more insight into processes that lead to diabetic nephropathy, messenger RNA expression profiles of peripheral blood mononuclear cells from patients with and without diabetic nephropathy were compared.

METHODS

We studied seven male patients with Type 1 diabetes and proteinuria and 12 male patients with Type 1 diabetes and normoalbuminuria after at least 20 years of diabetes duration. The expression of genes was examined using the microarray method with Human Genome U133A Arrays (Affymetrix, Santa Clara, CA, USA). We analysed the expression of all candidate genes suggested to be involved in the pathogenesis of diabetic nephropathy in previously published articles. Altogether, expression of 198 genes was analysed.

RESULTS

We found that thrombospondin 1 (THBS1) and cyclooxygenase 1(COX1) genes were over-expressed in patients with diabetic nephropathy, and matrix metalloproteinase 9 (MMP9) and cyclooxygenase 2 (COX2) genes had lower expression in diabetic nephropathy. For other genes, we did not observe different expression between patients with and without diabetic nephropathy,or the expression was too low for analysis.

CONCLUSIONS

The different gene expression pattern in peripheral blood mononuclear cells in patients with diabetic nephropathy might indicate an important pathway in the pathogenesis of this complication.

Gene Expression Profile of Papillary Thyroid Cancer: Sources of Variability and Diagnostic Implications

The study looked for an optimal set of genes differentiating between papillary thyroid cancer (PTC) and normal thyroid tissue and assessed the sources of variability in gene expression profiles. The analysis was done by oligonucleotide microarrays (GeneChip HG-U133A) in 50 tissue samples taken intraoperatively from 33 patients (23 PTC patients and 10 patients with other thyroid disease). In the initial group of 16 PTC and 16 normal samples, we assessed the sources of variability in the gene expression profile by singular value decomposition which specified three major patterns of variability. The first and the most distinct mode grouped transcripts differentiating between tumor and normal tissues. Two consecutive modes contained a large proportion of immunity-related genes. To generate a multigene classifier for tumor-normal difference, we used support vector machines-based technique (recursive feature replacement). It included the following 19 genes: DPP4, GJB3, ST14, SERPINA1, LRP4, MET, EVA1, SPUVE, LGALS3, HBB, MKRN2, MRC2, IGSF1, KIAA0830, RXRG, P4HA2, CDH3, IL13RA1, and MTMR4, and correctly discriminated 17 of 18 additional PTC/normal thyroid samples and all 16 samples published in a previous microarray study. Selected novel genes (LRP4, EVA1, TMPRSS4, QPCT, and SLC34A2) were confirmed by Q-PCR. Our results prove that the gene expression signal of PTC is easily detectable even when cancer cells do not prevail over tumor stroma. We indicate and separate the confounding variability related to the immune response. Finally, we propose a potent molecular classifier able to discriminate between PTC and nonmalignant thyroid in more than 90% of investigated samples.