Feasibility of RNA collection for micro-array gene expression analysis in the treatment of cervical carcinoma: a scientific correlate of RTOG C-0128

Identification of critical genes associated with radiotherapy resistance in cervical cancer by bioinformatics

Background

Cervical cancer (CC) is one of the common malignant tumors in women, Currently, 30% of patients with intermediate to advanced squamous cervical cancer are still uncontrolled or recurrent after standard radical simultaneous radiotherapy; therefore, the search for critical genes affecting the sensitivity of radiotherapy may lead to new strategies for treatment.

Methods

Firstly, differentially expressed genes (DEGs) between radiotherapy-sensitivity and radiotherapy-resistance were identified by GEO2R from the gene expression omnibus (GEO) website, and prognosis-related genes for cervical cancer were obtained from the HPA database. Subsequently, the DAVID database analyzed gene ontology (GO). Meanwhile, the protein-protein interaction network was constructed by STRING; By online analysis of DEGs, prognostic genes, and CCDB data that are associated with cervical cancer formation through the OncoLnc database, we aim to search for the key DEGs associated with CC, Finally, the key gene(s) was further validated by immunohistochemistry.

Result

298 differentially expressed genes, 712 genes associated with prognosis, and 509 genes related to cervical cancer formation were found. The results of gene function analysis showed that DEGs were mainly significant in functional pathways such as variable shear and energy metabolism. By further verification, two genes, ASPH and NKAPP1 were identified through validation as genes that affect both sensitivities to radiotherapy and survival finally. Then, immunohistochemical results showed that the ASPH gene was highly expressed in the radiotherapy-resistant group and had lower Overall survival (OS) and Progression-free survival (PFS).

Conclusion

This study aims to better understand the characteristics of cervical cancer radiation therapy resistance-related genes through bioinformatics and provide further research ideas for finding new mechanisms and potential therapeutic targets related to cervical cancer radiation therapy.

Radiation therapy oncology group gynecologic oncology working group: comprehensive results

The purpose of this report was to comprehensively describe the activities of the Gynecologic Oncology Working Group within the Radiation Therapy Oncology Group (RTOG). Clinical trials will be reviewed as well as translational science and ancillary activities. During the past 40 years, a myriad of clinical trials have been performed within the RTOG with the aim of improving overall survival (OS) and decreasing morbidity in women with cervical or endometrial cancer. Major study questions have included hyperbaric oxygen, neutron radiotherapy, altered fractionation, hypoxic cell sensitization, chemosensitization, and volume-directed radiotherapy.RTOG 7920 demonstrated improvement in OS in patients with stages IB through IIB cervical carcinoma receiving prophylactic para-aortic irradiation compared to pelvic radiation alone. RTOG 9001 demonstrated that cisplatin and 5-FU chemoradiotherapy to the pelvis for advanced cervix cancer markedly improved OS compared to extended field radiotherapy alone. More recent trials have used radioprotectors, molecular-targeted therapy, and intensity-modulated radiation therapy. Ancillary studies have developed clinical target volume atlases for research protocols and routine clinical use. Worldwide practice patterns have been investigated in cervix, endometrial, and vulvar cancer through the Gynecologic Cancer Intergroup. Translational studies have focused on immunohistochemical markers, changes in gene expression, and miRNA patterns impacting prognosis.The RTOG gynecologic working group has performed clinical trials that have defined the standard of care, improved survival, and added to our understanding of the biology of cervical and endometrial cancers.

Changes in gene expression predicting local control in cervical cancer: results from Radiation Therapy Oncology Group 0128

PURPOSE

To evaluate the potential of gene expression signatures to predict response to treatment in locally advanced cervical cancer treated with definitive chemotherapy and radiation.

EXPERIMENTAL DESIGN

Tissue biopsies were collected from patients participating in Radiation Therapy Oncology Group (RTOG) 0128, a phase II trial evaluating the benefit of celecoxib in addition to cisplatin chemotherapy and radiation for locally advanced cervical cancer. Gene expression profiling was done and signatures of pretreatment, mid-treatment (before the first implant), and "changed" gene expression patterns between pre- and mid-treatment samples were determined. The ability of the gene signatures to predict local control versus local failure was evaluated. Two-group t test was done to identify the initial gene set separating these end points. Supervised classification methods were used to enrich the gene sets. The results were further validated by leave-one-out and 2-fold cross-validation.

RESULTS

Twenty-two patients had suitable material from pretreatment samples for analysis, and 13 paired pre- and mid-treatment samples were obtained. The changed gene expression signatures between the pre- and mid-treatment biopsies predicted response to treatment, separating patients with local failures from those who achieved local control with a seven-gene signature. The in-sample prediction rate, leave-one-out prediction rate, and 2-fold prediction rate are 100% for this seven-gene signature. This signature was enriched for cell cycle genes.

CONCLUSIONS

Changed gene expression signatures during therapy in cervical cancer can predict outcome as measured by local control. After further validation, such findings could be applied to direct additional therapy for cervical cancer patients treated with chemotherapy and radiation.

Gene expression analysis of interferon kappa in laser capture microdissected cervical epithelium

Optimal sample handling techniques for tissue preparation and storage, RNA extraction and quantification, and target gene detection are crucial for reliable gene expression analysis. Methods for measuring low-expressing genes, such as interferons, in human cervical samples are not described in the scientific literature. To detect interferon mRNA in human cervical samples we obtained normal and dysplastic frozen and formalin-fixed cervical biopsies from colposcopy. Histopathological diagnosis was performed by one pathologist. Cervical keratinocytes were isolated using laser capture microdissection. Immortalized keratinocytes transduced with or devoid of an HPV oncogene were used for initial method development. RNA from samples was extracted and integrity tested to compare tissue storage and extraction methods. The expression of five housekeeping genes was analyzed in cell lines and patient tissue to permit normalization between samples using quantitative real-time polymerase chain reaction. The usefulness of cDNA amplification was assessed for the detection of low-expressing interferon kappa in cervical tissue. Here we report optimal tissue storage conditions, RNA extraction, sample normalization, and transcript amplification, as well as the sensitivity of quantitative real-time polymerase chain reaction and laser capture microdissection, for interferon kappa detection in cervical tissue. Without these optimized techniques, interferon kappa detection would be unattainable in cervical samples.

Changes in gene expression induced by chemoradiation in advanced cervical carcinoma: a microarray study of RTOG C-0128

PURPOSE

To evaluate gene expression patterns in patients with advanced cervix cancer before and during chemoradiation in a multi-institutional cooperative group setting.

METHODS

RTOG C0128 was designed as a Phase II trial of radiation therapy with concomitant chemotherapy and Celecoxib at 400 mg twice daily for one year. Tumor samples were obtained for microarray gene expression analysis before treatment and at the time of the first implant (paired sample). RNA was extracted, linearly amplified, and purity was assessed by gel electrophoresis. Each sample was hybridized against a universal RNA mixture on a customized spotted array consisting of >10,000 genes. Gene expression pre-treatment was compared with clinical characteristics. Changes in gene expression following radiation were assessed within the paired samples (same patient) and then compared across all paired samples. Data were normalized using the AROMA software, and clustering analysis was performed using Ward's method in Spotfire. Differences in paired samples were calculated with Significance Analysis of Microarrays (SAM).

RESULTS

From August 2001 to March 2004, 84 patients were accrued to the trial. Tissue was obtained prior to initiation of therapy from 34 patients (40%). FIGO stages of the patients providing tissue were IB (23%), II (57%), and IIIA-IVA (20%). RNA quality was sufficient in 22 pre-treatment and 14 post-treatment samples. Among pre-treatment samples, no significant differences in gene expression were observed by FIGO stage, age, or race. However, between comparison of histologic subtypes (adenocarcinoma, n=5; squamous cell carcinoma, n=17) demonstrated 45 genes differentially expressed with a false discovery rate of 0.018. Cluster analysis segregated unpaired samples into 2 groups: 18/22 comprising pre-treatment samples and 10/14 in group 2 representing post-treatment samples. In all 13 paired samples, gene expression after chemoradiation was significantly upregulated in 91 genes and downregulated in 251 genes (false discovery rate of 0.0018). Genes significantly upregulated included bax, cdk inhibitor 1, MMP2, and adhesion molecules PECAM1, VCAM1, and ICAM2. Genes significantly downregulated included topoisomerase II alpha, myc, H2AX, MSH2, RAD51, RAD53, PCNA, and cell cycle-regulating molecules chk1, CDK2, cyclinB1, cyclin D3, cdc2, and cdc25.

CONCLUSIONS

Microarray analysis was successfully performed in a multi-institutional cooperative group trial. Gene expression significantly correlated with histology, but not stage, age or race. Cluster analysis identified two groups of gene expression profiles correlating with pre or post-treatment acquisition of tissue. Notably, paired samples showed significant changes in gene expression following chemoradiation, including several downregulated radiation response genes. Further analysis comparing gene expression to clinical outcomes, acute and late toxicities awaits maturation of clinical data. Hopefully, this data will lead to the development of molecularly based therapies.

Tissue handling for genome-wide expression analysis: a review of the issues, evidence, and opportunities

CONTEXT

Molecular diagnostic applications that use microarrays to analyze large numbers of genes simultaneously require high-quality mRNA. As these genome-wide expression assays become more commonly used in medical practice, pathologists and oncologists will benefit from understanding the importance of obtaining high-quality RNA in order to generate reliable diagnostic and prognostic information, especially as these relate to cancer.

OBJECTIVE

To review the effects that different tissue preservation techniques have on RNA quality and to provide practical advice on changes in tissue acquisition and handling that may soon be needed for certain clinical situations.

DATA SOURCES

A review of recent literature on RNA quality, tissue fixation, cancer diagnosis, and gene expression analysis.

CONCLUSIONS

Studies have consistently shown that frozen tissue yields more intact RNA than formalin-fixed, paraffin-embedded tissue. The chemical modification, cross-linking, and fragmentation caused by formalin fixation often render RNA unsuitable for microarray analysis. Thus, when expression analysis involving hundreds or more than 1000 gene markers is contemplated, pathologists should consider freezing a specimen within half an hour (preferably within minutes) of surgical resection and storing it at -80 degrees C or below. In coming years, pathologists will need to work closely with oncologists and other clinicians to determine when saving frozen tissue for microarray expression analysis is both practical and necessary. In select cases, the benefit of implementing a few extra tissue-handling steps may improve diagnostic and prognostic capability.