Development and validation of an MRI-based model to predict response to chemoradiotherapy for rectal cancer

Bulens, P.; Couwenberg, Alice M.; Haustermans, Karin; Debucquoy, Annelies; Vandecaveye, Vincent; Philippens, M.E.P.; Zhou, Mu; Gevaert, Olivier; Intven, Martijn

doi:10.1016/j.radonc.2018.01.008

Cited by 22 publications

(17 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Radiomics is an emerging field concerned with the high-throughput extraction of innumerable quantitative imaging features, complementing and accelerating the advancement to mine the medical images [23,24]. Radiomic features are showing great potential for predicting diagnosis [[25], [26], [27]], survival, treatment response [[28], [29], [30], [31], [32], [33], [34]], and molecular properties of tumors [24,30,32,35].…”

Section: Introductionmentioning

confidence: 99%

Development and validation of radiomic signatures of head and neck squamous cell carcinoma molecular features and subtypes

Chao

Cintra

Brennan³

et al. 2019

EBioMedicine

Self Cite

View full text Add to dashboard Cite

Background: Radiomics-based non-invasive biomarkers are promising to facilitate the translation of therapeutically related molecular subtypes for treatment allocation of patients with head and neck squamous cell carcinoma (HNSCC). Methods: We included 113 HNSCC patients from The Cancer Genome Atlas (TCGA-HNSCC) project. Molecular phenotypes analyzed were RNA-defined HPV status, five DNA methylation subtypes, four gene expression subtypes and five somatic gene mutations. A total of 540 quantitative image features were extracted from pretreatment CT scans. Features were selected and used in a regularized logistic regression model to build binary classifiers for each molecular subtype. Models were evaluated using the average area under the Receiver Operator Characteristic curve (AUC) of a stratified 10-fold cross-validation procedure repeated 10 times. Next, an HPV model was trained with the TCGA-HNSCC, and tested on a Stanford cohort (N = 53). Findings: Our results show that quantitative image features are capable of distinguishing several molecular phenotypes. We obtained significant predictive performance for RNA-defined HPV+ (AUC = 0.73), DNA methylation subtypes MethylMix HPV+ (AUC = 0.79), non-CIMP-atypical (AUC = 0.77) and Stem-like-Smoking (AUC = 0.71), and mutation of NSD1 (AUC = 0.73). We externally validated the HPV prediction model (AUC = 0.76) on the Stanford cohort. When compared to clinical models, radiomic models were superior to subtypes such as NOTCH1 mutation and DNA methylation subtype non-CIMP-atypical while were inferior for DNA methylation subtype CIMP-atypical and NSD1 mutation. Interpretation: Our study demonstrates that radiomics can potentially serve as a non-invasive tool to identify treatment-relevant subtypes of HNSCC, opening up the possibility for patient stratification, treatment allocation and inclusion in clinical trials.

show abstract

Section: Introductionmentioning

confidence: 99%

Development and validation of radiomic signatures of head and neck squamous cell carcinoma molecular features and subtypes

Chao

Cintra

Brennan³

et al. 2019

EBioMedicine

Self Cite

View full text Add to dashboard Cite

show abstract

“…In striking contrast, however, it is well known from radiotherapy that most malignancies do not resolve during multi-week fractionated radiation treatment. Indeed, most malignancies require several weeks after the end of treatment to show volumetric tumor regression in clinical and imaging assessment [ 2 , 3 ]. In rectal cancer for example, Habr-Gama et al found a median time interval of 18.7 weeks from completion of radiotherapy to complete endoscopic clinical response [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Role of tumor cell senescence in non-professional phagocytosis and cell-in-cell structure formation

Gottwald

Putz

Hohmann

et al. 2020

BMC Mol and Cell Biol

View full text Add to dashboard Cite

Background Non-professional phagocytosis is usually triggered by stimuli such as necrotic cell death. In tumor therapy, the tumors often disappear slowly and only long time after the end of therapy. Here, tumor therapy inactivates the cells by inducing senescence. Therefore, study focused whether senescence is a stimulus for non-professional phagocytosis or whether senescent cells themselves phagocytize non-professionally. Results Senescence was induced in cell lines by camptothecin and a phagocytosis assay was performed. In tissue of a cohort of 192 rectal cancer patients senescence and non-professional phagocytosis was studied by anti-histone H3K9me3 and anti-E-cadherin staining. Senescent fibroblasts and pancreas carcinoma cells phagocytize necrotic cells but are not phagocytized. In the tissue of rectal carcinoma, senescent cells can phagocytize and can be phagocytized. A high number of senescent cells and, at the same time, high numbers of non-professional phagocytizing cells in the rectal carcinoma tissue lead to an extremely unfavorable prognosis regarding overall survival. Conclusion Senescent cells can be non-professionally phagocytized and at the same time they can non-professionally phagocytize in vivo. In vitro experiments indicate that it is unlikely that senescence is a strong trigger for non-professional phagocytosis. Combined high rates of non-professional phagocytosis and high rates of senescence are an extremely poor prognostic factor for overall survival.

show abstract

“…Several reports have reported the application of diffusion-weighted imaging (DWI) parameters and dynamic contrast-enhanced MRI in the prediction of patho-logic response after NCRT for rectal cancer [24][25][26]. In particular, Bulens et al [24] built a model with T2-volumetric and DWI parameters and showed its good predictive performance for good pTRG (area under the curve, 0.89; 95% confidential interval, 0.79 to 0.98). The combination of 18 F-fluorodeoxyglucose positron emission tomography ( 18 F-FDG PET) parameters is also considerable.…”

Section: Discussionmentioning

confidence: 99%

Carcinoembryonic Antigen Improves the Performance of Magnetic Resonance Imaging in the Prediction of Pathologic Response after Neoadjuvant Chemoradiation for Patients with Rectal Cancer

Yoo

Park

et al. 2020

Cancer Res Treat

View full text Add to dashboard Cite

PurposeThe purpose of this study was to investigate the role of carcinoembryonic antigen (CEA) levels in improving the performance of magnetic resonance imaging (MRI) for the prediction of pathologic response after the neoadjuvant chemoradiation (NCRT) for patients with rectalcancer.Materials and MethodsWe retrospectively reviewed the medical records of 524 rectal cancer patients who underwent NCRT and total mesorectal excision between January 2009 and December 2014. The performances of MRI with or without CEA parameters (initial CEA and CEA dynamics) for prediction of pathologic tumor response grade (pTRG) were compared by receiver-operating characteristic analysis with DeLong’s method. Cox regression was used to identify the independent factors associated to pTRG and disease-free survival (DFS) after NCRT.ResultsThe median follow-up was 64.0 months (range, 3.0 to 113.0 months). On multivariate analysis, poor tumor regression grade on MRI (mrTRG; p < 0.001), initial CEA (p < 0.001) and the mesorectal fascia involvement on MRI before NCRT (mrMFI; p=0.054) showed association with poor pTRG. The mrTRG plus CEA parameters showed significantly improved performances in the prediction of pTRG than mrTRG alone. All of mrTRG, mrMFI, and initial CEA were also identified as independent factors associated with DFS. The initial CEA further discriminated DFS in the subgroups with good mrTRG or that without mrMFI.ConclusionThe CEA parameters significantly improved the performance of MRI in the prediction of pTRG after NCRT for patients with rectal cancer. The DFS was further discriminated by initial CEA level in the groups with favorable MRI parameters.

show abstract

Development and validation of an MRI-based model to predict response to chemoradiotherapy for rectal cancer

Cited by 22 publications

References 37 publications

Development and validation of radiomic signatures of head and neck squamous cell carcinoma molecular features and subtypes

Development and validation of radiomic signatures of head and neck squamous cell carcinoma molecular features and subtypes

Role of tumor cell senescence in non-professional phagocytosis and cell-in-cell structure formation

Carcinoembryonic Antigen Improves the Performance of Magnetic Resonance Imaging in the Prediction of Pathologic Response after Neoadjuvant Chemoradiation for Patients with Rectal Cancer

Contact Info

Product

Resources

About