Gene Expression Profiling For Diagnosis of Multiple Primary Malignant Tumors

Abstract Background: The incidence of multiple primary malignant tumors (MPMTs) is rising due to the development of screening technologies, significant treatment advances and the increased aging of the population. For patients with a prior cancer history, distinguishing tumor recurrence or metastasis from a second malignant tumor has important prognostic and therapeutic implications and still represents a difficult problem in clinical practice. Methods: In this study, we evaluated the performance of a 90-gene expression assay and explored its potential diagnostic utility for MPMTs across a broad spectrum of tumor types. Twenty-four MPMT patients from Sir Run Run Shaw Hospital, college of medicine, Zhejiang University were enrolled in this study. A total of 51 MPMT specimens met all quality control criteria and were analyzed by the 90-gene expression assay. Results: For each clinical specimen, the tumor type predicted by the 90-gene expression assay was compared with its reference diagnosis with an overall accuracy of 94.1% (48 of 51, 95% confidence interval: 0.83-0.98). Additionally, the hierarchical clustering of 90-gene expression profiling in 51 specimens revealed MPMT samples were grouped together depending on tumor types or system types rather than individual MPMT patients. Conclusions: Therefore, the 90-gene expression assay provides flexibility and accuracy in identifying the tissue origin of MPMTs, especially in squamous cell carcinoma. Future incorporation of the 90-gene expression assay in the pathological diagnosis will assist oncologists in applying precise treatments, leading to improved care and outcomes for MPMT patients.

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Gene expression profiling for the diagnosis of multiple primary malignant tumors

Cancer Cell International ◽

10.1186/s12935-021-01748-8 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Yu Zheng ◽

Yifeng Sun ◽

Yue Kuai ◽

Guoxiang Fu ◽

Huimin An ◽

...

Keyword(s):

Gene Expression ◽

Malignant Tumors ◽

Clinical Specimen ◽

Malignant Lesion ◽

Pathological Diagnosis ◽

Tumor Type ◽

Gene Expression Assay ◽

Significant Difference ◽

Tumor Origin ◽

Multiple Primary

Abstract Background The incidence of multiple primary malignant tumors (MPMTs) is rising due to the development of screening technologies, significant treatment advances and increased aging of the population. For patients with a prior cancer history, identifying the tumor origin of the second malignant lesion has important prognostic and therapeutic implications and still represents a difficult problem in clinical practice. Methods In this study, we evaluated the performance of a 90-gene expression assay and explored its potential diagnostic utility for MPMTs across a broad spectrum of tumor types. Thirty-five MPMT patients from Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University and Fudan University Shanghai Cancer Center were enrolled; 73 MPMT specimens met all quality control criteria and were analyzed by the 90-gene expression assay. Results For each clinical specimen, the tumor type predicted by the 90-gene expression assay was compared with its pathological diagnosis, with an overall accuracy of 93.2% (68 of 73, 95% confidence interval 0.84–0.97). For histopathological subgroup analysis, the 90-gene expression assay achieved an overall accuracy of 95.0% (38 of 40; 95% CI 0.82–0.99) for well-moderately differentiated tumors and 92.0% (23 of 25; 95% CI 0.82–0.99) for poorly or undifferentiated tumors, with no statistically significant difference (p-value > 0.5). For squamous cell carcinoma specimens, the overall accuracy of gene expression assay also reached 87.5% (7 of 8; 95% CI 0.47–0.99) for identifying the tumor origins. Conclusions The 90-gene expression assay provides flexibility and accuracy in identifying the tumor origin of MPMTs. Future incorporation of the 90-gene expression assay in pathological diagnosis will assist oncologists in applying precise treatments, leading to improved care and outcomes for MPMT patients.

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Gene Expression Profiling for the Diagnosis of Multiple Primary Malignant Tumors

10.21203/rs.3.rs-48540/v2 ◽

2020 ◽

Author(s):

Yu Zheng ◽

Yifeng Sun ◽

Yue Kuai ◽

Guoxiang Fu ◽

Huimin An ◽

...

Keyword(s):

Gene Expression ◽

Malignant Tumors ◽

Clinical Specimen ◽

Malignant Lesion ◽

Pathological Diagnosis ◽

Tumor Type ◽

Gene Expression Assay ◽

Significant Difference ◽

Tumor Origin ◽

Multiple Primary

Abstract Background: The incidence of multiple primary malignant tumors (MPMTs) is rising due to the development of screening technologies, significant treatment advances and increased aging of the population. For patients with a prior cancer history, identifying the tumor origin of the second malignant lesion has important prognostic and therapeutic implications and still represents a difficult problem in clinical practice. Methods: In this study, we evaluated the performance of a 90-gene expression assay and explored its potential diagnostic utility for MPMTs across a broad spectrum of tumor types. Thirty-five MPMT patients from Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University and Fudan University Shanghai Cancer Center were enrolled; 73 MPMT specimens met all quality control criteria and were analyzed by the 90-gene expression assay. Results: For each clinical specimen, the tumor type predicted by the 90-gene expression assay was compared with its pathological diagnosis, with an overall accuracy of 93.2% (68 of 73, 95% confidence interval: 0.84-0.97). For histopathological subgroup analysis, the 90-gene expression assay achieved an overall accuracy of 95.0% (38 of 40; 95% CI, 0.82-0.99) for well-moderately differentiated tumors and 92.0% (23 of 25; 95% CI, 0.82-0.99) for poorly or undifferentiated tumors, with no statistically significant difference (p-value > 0.5). For squamous cell carcinoma specimens, the overall accuracy of gene expression assay also reached 87.5% (7 of 8; 95% CI, 0.47-0.99) for identifying the tumor origins. Conclusions: The 90-gene expression assay provides flexibility and accuracy in identifying the tumor origin of MPMTs. Future incorporation of the 90-gene expression assay in pathological diagnosis will assist oncologists in applying precise treatments, leading to improved care and outcomes for MPMT patients.

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Molecular analysis of hormone refractory prostate cancer biopsies supports the rationale of using mTOR inhibitors

Journal of Clinical Oncology ◽

10.1200/jco.2007.25.18_suppl.21126 ◽

2007 ◽

Vol 25 (18_suppl) ◽

pp. 21126-21126 ◽

Cited By ~ 1

Author(s):

O. Stoss ◽

D. Zielinski ◽

K. Czeloth ◽

P. Middel ◽

T. Henkel ◽

...

Keyword(s):

Gene Expression ◽

Prostate Cancer ◽

Translational Research ◽

Gene Expression Profiling ◽

Expression Profiling ◽

Ribosome Biogenesis ◽

Tumor Type ◽

Hormone Refractory Prostate Cancer ◽

Prostate Biopsies ◽

Hormone Refractory

21126 Background: The aim of our group is to identify molecular signatures in samples of hormone refractory prostate cancer (HRPC) patients (pts) that lead to novel rationales for medical treatment. We have previously shown that transurethral resections (TUR) of the prostate in HRPC pts are useful specimens for gene expression profiling using microarrays (ASCO 2006). Aim of this study was to prove the feasibility of gene expression profiling on prostate biopsies and to develop a standardised tissue handling protocol in order to facilitate multicenter research. Methods: Biopsy material and corresponding TUR chips or classical specimens from 8 pts with HRPC, 13 pts with localized PCA, 6 pts with benign prostatic hyperplasia (BPH) and 11 pts without cancer or BPH were investigated and compared. The tumor type and content was evaluated by a pathologist. Tissues were preserved in liquid nitrogen or RNAlater. Different tissue lysis and RNA purification methods were compared by the quantity (NanoDrop measurement) and quality (Bioanalyser, Agilent) of isolated RNA. Gene expression profiling occurred on Affymetrix HG-FOCUS arrays. Results: Most reliable gene expression results were obtained by biopsy lysis in Trizol using the QIAshredder. A total of more than 1 μg RNA was isolated from one biopsy. RNA quality fulfilled pre-defined criteria such as a 28S/18S rRNA ratio of > 0.8, an area under the curve of > 10% and a RNA integrity number > 6.5. A comparison of HRPC and PCA samples clearly confirmed previous results of a deregulation of protein biosynthesis (translation initiation and elongation factors, ribosome biogenesis) and PI3K signalling pathway components. Conclusions: Gene expression profiling supports the induction of the PI3K-AKT-mTOR pathway in HRPC. A standardised protocol for gene expression profiling from prostate biopsy samples applicable for translational research programs within multicenter clinical trials is now available. As a part of a clinical phase II trial that aims to investigate survival benefits on HRPC pts treated with docetaxel ± RAD001, a translational research program is now set up in parallel to identify biomarkers for response prediction using microarray gene expression analysis from prostate biopsies. No significant financial relationships to disclose.

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Preclinical evaluation of KZR-261, a novel small molecule inhibitor of Sec61.

Journal of Clinical Oncology ◽

10.1200/jco.2020.38.15_suppl.3582 ◽

2020 ◽

Vol 38 (15_suppl) ◽

pp. 3582-3582

Author(s):

Eric Lowe ◽

R. Andrea Fan ◽

Jing Jiang ◽

Henry W. B. Johnson ◽

Christopher J. Kirk ◽

...

Keyword(s):

Gene Expression ◽

Gene Expression Profiling ◽

Cell Lines ◽

Therapeutic Target ◽

Expression Profiling ◽

Single Agent ◽

Tumor Types ◽

Anti Tumor Activity

3582 Background: Secreted and transmembrane proteins play key roles in malignant transformation and growth, including in autocrine growth factor expression, receptor oncogene signaling, and immune system evasion. Biogenesis of these proteins involves translocation of the nascent polypeptides into the endoplasmic reticulum (ER) through the Sec61 channel, providing an untapped therapeutic target for a broad spectrum of malignancies. Here we describe preclinical activity of KZR-261 and related inhibitors of Sec61-dependent protein secretion. Methods: Sec61 inhibition with KZR-261 and related analog KZR-834 were evaluated using cell lines overexpressing proteins of interest tagged with luciferase. In vitro anti-tumor activity was assessed against a panel of 346 cell lines across 25 tumor types. Quantitative proteomic profiling by mass spec and gene expression profiling by RNAseq were conducted following treatment in multiple solid and heme tumor cell lines. Anti-tumor efficacy was evaluated in athymic nude mice implanted with the cancer cell lines H82 (SCLC), HT29 (CRC), BxPC3 (Pancreatic), 22RV1 (Prostate), H929 (Myeloma) and RL (NHL). Activity was also evaluated in a MC38 syngeneic colon tumor model. Results: KZR-261 and KZR-834 exhibited nanomolar potency against many therapeutic targets, including immune checkpoints, VEGF-A, VEGFR and EGFR. Broad in vitro anti-cancer activity was observed with KZR-834, which potently decreased cell viability across both solid and heme tumor types including CRC, Pancreatic, HNSCC, HCC, Lymphoma and Myeloma. Global proteomic analysis observed more than 1.5 fold downregulation of < 10% of detected Sec61 client proteins following treatment, while gene expression profiling revealed upregulation of ER stress response genes in sensitive versus resistant cell lines. Analysis of the TCGA database also found these genes upregulated in a number of different tumor types. In vivo, weekly IV administration was well tolerated and induced a dose dependent anti-tumor response at doses below the MTD in solid and heme xenograft models. In the syngeneic MC38 model, administration of KZR-834 in combination with anti-PD1 antibody resulted in greater anti-tumor activity than either single agent. Conclusions: Novel Sec61 inhibitors potently block expression of secreted and membrane proteins, translating into anti-tumor activity against many tumor types in vitro and in vivo, suggesting broad therapeutic potential. Clinical trials are being planned with KZR-261 to understand safety and early efficacy of this novel compound and therapeutic target.

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Identification of cancer of unknown primary with gene expression profiling

Journal of Clinical Oncology ◽

10.1200/jco.2006.24.18_suppl.10052 ◽

2006 ◽

Vol 24 (18_suppl) ◽

pp. 10052-10052

Author(s):

H. Li ◽

K. Qu ◽

K. Tokoro ◽

Y. Ren ◽

J. Y. Liu ◽

...

Keyword(s):

Gene Expression ◽

Real Time Pcr ◽

Expression Profiling ◽

Expression Profiles ◽

Gene Expression Profiles ◽

Cancer Of Unknown Primary ◽

Unknown Primary ◽

Tumor Type ◽

Tumor Origin ◽

Tumor Types

10052 Background: Patients with metastatic cancer of unknown primary (CUP) generally have a poor prognosis, with a median survival of 2–10 months. Conventional diagnostic approaches for identifying the primary tumor site are successful in only 20%-30% of cases; however, such identification provides prognostic information and helps with selection of tumor-specific therapy, leading to improved survival. Recent studies indicate that gene expression-based classification of CUP is highly successful in predicting the site of origin. We report herein development and validation of a method that determines the site of tumor origin by comparing the gene expression profiles of CUP cases to those in a database created from known tumor types. Methods: RNA extracted from frozen and formalin-fixed, paraffin-embedded (FFPE) tissue wasis purified and amplified using the Paradise Reagent System System (Arcturus, Mountain View, CA). Following reverse-transcription, cDNA products wereare used in a semi-quantitative real-time PCR to detect 87 tumor-associated genes and 5 reference genes in an ABI PRISM 7900HT Detection System (Applied Biosystems, Foster City, CA). Gene expression data wereare then compared to those in a database, composed of gene expression profiles of 571 samples from 39 different tumor types, using k-nearest neighbor analysis to predict the most likely site of tumor origin. Intra- and interassay reproducibility was determined. Frozen and FFPE tissues (n=57) from a well-characterized, independent sample set were also tested in a blinded manner to further validate the method. Results: Based on the real-time PCR cycle threshold, the intra- and interassay reproducibility ranged from 0.1%-4.3% and 0.5%-8.2%, respectively. The primary tumor type was identified in 77% of cases. The assay determined the correct tumor type in 88% (44/50) of the samples. Seven samples were not reported: 3 failed to amplify adequately and 4 had an unacceptably low confidence level. Conclusions: We have shown that gene expression profiling can determine the most likely site of tumor origin. Our data suggest that this new method is able tomay identify the primary site of tumor origin in 77% of CUP cases. No significant financial relationships to disclose.

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Custom microarray for glycobiologists: considerations for glycosyltransferase gene expression profiling

Biochemical Society Symposium ◽

10.1042/bss0690135 ◽

2002 ◽

Vol 69 ◽

pp. 135-142 ◽

Cited By ~ 12

Author(s):

Elena M. Comelli ◽

Margarida Amado ◽

Steven R. Head ◽

James C. Paulson

Keyword(s):

Gene Expression ◽

Gene Expression Profiling ◽

Expression Profiling ◽

Affymetrix Genechip ◽

Microarray Technology ◽

Gene Arrays ◽

Glycosyltransferase Gene

The development of microarray technology offers the unprecedented possibility of studying the expression of thousands of genes in one experiment. Its exploitation in the glycobiology field will eventually allow the parallel investigation of the expression of many glycosyltransferases, which will ultimately lead to an understanding of the regulation of glycoconjugate synthesis. While numerous gene arrays are available on the market, e.g. the Affymetrix GeneChip® arrays, glycosyltransferases are not adequately represented, which makes comprehensive surveys of their gene expression difficult. This chapter describes the main issues related to the establishment of a custom glycogenes array.

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