Breast Cancer: Radiogenomic Biomarker Reveals Associations among Dynamic Contrast-enhanced MR Imaging, Long Noncoding RNA, and Metastasis

Yamamoto, Shota; Han, Wonshik; Kim, Youngwoo; Du, Liutao; Jamshidi, Neema; Huang, Danshan; Kim, Jong Hyo; Kuo, Michael

doi:10.1148/radiol.15142698

Cited by 111 publications

(102 citation statements)

References 35 publications

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“…8 studies used data from The Cancer Genome Atlas (TCGA) and/or The Cancer Imaging Archive (TCIA); 1,16,23,27,32,34,38,41 2 studies were multi-institutional; 9,19 and the remaining 17 studies used local institutional data. 15,17,18,[20][21][22][24][25][26]28,30,31,33,[35][36][37]39,40 26 out of 27 studies were retrospective in design. The number of patients ranged from 10 to 104 patients, with a median of 38 patients.…”

Section: Published Studies Using a Radiogenomic Approach In Cancer Rementioning

confidence: 99%

“…8 (30%) studies used a validation data set to verify the association between imaging features and genomic data identified in the initial data set. 20,22,23,27,28,34,37,40 Six types of cancers were studied: glioblastoma multiforme (GBM)/high-grade glioma (n 5 14, 52%), non-small-cell lung cancer (NSCLC) (n 5 3, 11%), hepatocellular carcinoma (HCC) (n 5 3, 11%), breast cancer (n 5 5, 19%), clear-cell renal cell carcinoma (CCRCC) (n 5 1, 4%) and cervical cancer (n 5 1, 4%). The imaging modalities used included fluorine 18 fludeoxyglucose positron emission tomography (PET) (n 5 4, 15%), MRI [n 5 18 (including two perfusion MR), 67%] and CT [n 5 5 (including one perfusion CT), 19%].…”

Section: Published Studies Using a Radiogenomic Approach In Cancer Rementioning

confidence: 99%

“…Otherwise, studies have focused on signal strength on specific sequences at different time points and contrast kinetic pattern. 21,22,38 Genomic data 26 (96%) studies used data from RNA or complementary DNA microarray. Only one (4%) study used data from RNA sequencing.…”

Section: Imaging Features and Extractionmentioning

confidence: 99%

“…Only one (4%) study used data from RNA sequencing. 22 Among these 26 studies that used microarray data to correlate with imaging, 4 studies included micro-RNA, 1 The histological parameters that were evaluated ranged from tumour type and tumour stage to specific immunological expression of tumour markers such as oestrogen receptor (ER), progesterone receptor (PR) and HER2 in breast cancer.…”

Section: Imaging Features and Extractionmentioning

confidence: 99%

“…22,25,26,37,40 Two studies performed quantitative polymerase chain reaction (PCR) to verify the significant difference in gene expression among imaging phenotypes through association studies. 22,26 Two studies performed gene expression analysis in corresponding cancer cell lines. 37,40 One study performed immunological staining of epidermal growth factor receptor (EGFR) and found differentially expressed EGFR among different imaging phenotypes.…”

Section: Imaging Features and Extractionmentioning

confidence: 99%

See 4 more Smart Citations

Imaging genomics in cancer research: limitations and promises

Bai

Lee

Yang

et al. 2016

BJR

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Recently, radiogenomics or imaging genomics has emerged as a novel high-throughput method of associating imaging features with genomic data. Radiogenomics has the potential to provide comprehensive intratumour, intertumour and peritumour information non-invasively. This review article summarizes the current state of radiogenomic research in tumour characterization, discusses some of its limitations and promises and projects its future directions. Semiradiogenomic studies that relate specific gene expressions to imaging features will also be briefly reviewed.

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Section: Published Studies Using a Radiogenomic Approach In Cancer Rementioning

confidence: 99%

Section: Published Studies Using a Radiogenomic Approach In Cancer Rementioning

confidence: 99%

Section: Imaging Features and Extractionmentioning

confidence: 99%

Section: Imaging Features and Extractionmentioning

confidence: 99%

Section: Imaging Features and Extractionmentioning

confidence: 99%

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Imaging genomics in cancer research: limitations and promises

Bai

Lee

Yang

et al. 2016

BJR

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Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2)–Positive Breast Cancer

et al. 2019

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Key Points Question Can quantitative imaging features extracted from the tumor and tumor environment on breast magnetic resonance imaging characterize tumor biological features relevant to outcome of targeted therapy? Findings In this diagnostic study of 209 patients, among HER2 ( ERBB2 )-positive breast cancers, an intratumoral and peritumoral imaging signature capable of discriminating the response-associated HER2 -enriched molecular subtype was identified. When evaluated among recipients of HER2 -targeted therapy, this signature was found to be associated with response to neoadjuvant chemotherapy. Meaning Quantitative analysis of the tumor and its surroundings may provide valuable cues into breast cancer biological features and likelihood of response to targeted therapy.

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Predicting cervical lymph node metastasis in OSCC based on computed tomography imaging genomics

Jin,

Qiao,

Zhao

et al. 2023

Cancer Medicine

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BackgroundTo investigate the correlation between computed tomography (CT) radiomic characteristics and key genes for cervical lymph node metastasis (LNM) in oral squamous cell carcinoma (OSCC).MethodsThe region of interest was annotated at the edge of the primary tumor on enhanced CT images from 140 patients with OSCC and obtained radiomic features. Ribonucleic acid (RNA) sequencing was performed on pathological sections from 20 patients. the DESeq software package was used to compare differential gene expression between groups. Weighted gene co‐expression network analysis was used to construct co‐expressed gene modules, and the KEGG and GO databases were used for pathway enrichment analysis of key gene modules. Finally, Pearson correlation coefficients were calculated between key genes of enriched pathways and radiomic features.ResultsFour hundred and eighty radiomic features were extracted from enhanced CT images of 140 patients; seven of these correlated significantly with cervical LNM in OSCC (p < 0.01). A total of 3527 differentially expressed RNAs were screened from RNA sequencing data of 20 cases. original_glrlm_RunVariance showed significant positive correlation with most long noncoding RNAs.ConclusionsOSCC cervical LNM is related to the salivary hair bump signaling pathway and biological process. Original_glrlm_RunVariance correlated with LNM and most differentially expressed long noncoding RNAs.

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Breast Cancer: Radiogenomic Biomarker Reveals Associations among Dynamic Contrast-enhanced MR Imaging, Long Noncoding RNA, and Metastasis

Abstract: The enhancing rim fraction score, a quantitative DCE MR imaging lncRNA radiogenomic biomarker, is associated with early metastasis and expression of the known predictor of metastatic progression, HOTAIR.

Cited by 111 publications

References 35 publications

Imaging genomics in cancer research: limitations and promises

Imaging genomics in cancer research: limitations and promises

Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2)–Positive Breast Cancer

Predicting cervical lymph node metastasis in OSCC based on computed tomography imaging genomics

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