scholarly journals Extramural venous invasion is a potential imaging predictive biomarker of neoadjuvant treatment in rectal cancer

2013 ◽  
Vol 110 (1) ◽  
pp. 19-25 ◽  
Author(s):  
M Chand ◽  
R I Swift ◽  
P P Tekkis ◽  
I Chau ◽  
G Brown
Keyword(s):  
Rectal Cancer ◽  
Neoadjuvant Treatment ◽  
Venous Invasion ◽  
Predictive Biomarker

scholarly journals The Relationship between MR Demonstration of Extramural Venous Invasion and Nodal Disease in Rectal Cancer

2008 ◽  
Vol 2 ◽  
pp. CMO.S370 ◽  
Author(s):  
Dow-Mu Koh ◽  
Neil J. Smith ◽  
R. Ian Swift ◽  
Gina Brown
Keyword(s):  
Rectal Cancer ◽  
Mr Imaging ◽  
Sensitivity And Specificity ◽  
Neoadjuvant Treatment ◽  
Rectal Surgery ◽  
Venous Invasion ◽  
Nodal Disease ◽  
Expert Radiologist ◽  
N2 Disease ◽  
The Relationship

Purpose To investigate the relationship between extramural venous invasion (EMVI) detected at T2-weighted MRI and nodal disease rectal cancer compared with histopathology. Materials and Methods The MR imaging of 79 consecutive patients with rectal cancer who underwent primary rectal surgery without neoadjuvant treatment were reviewed. MR images were scored by an expert radiologist for the presence and degree of EMVI using a five point scale blinded to pathological findings. Receiver operating characteristic curve analyses were performed to determine the sensitivity and specificity of MRI scoring in predicting EMVI and nodal disease at histopathology. Results Compared with histology, an MR score of >2 was found to have 100% sensitivity (95% CI: 77%-100%) and 89% specificity (95% CI: 79%–96%) in identifying EMVI involving veins >3 mm in diameter. An EMVI score of >2 was had a sensitivity of 56% (95% CI: 30%–80%) and specificity of 81% (95% CI: 69%–90%) for identifying patients with stage N2 disease. Conclusions EMVI score of >2 on T2-weighted MR imaging has a high sensitivity and specificity for histopathologically proven extramural venous invasion involving venules ≥3 mm in diameter. However, EMVI scores have only moderate sensitivity in the predicting nodal involvement.

Extramural venous invasion (EMVI) is a potential imaging predictive biomarker in rectal cancer

2013 ◽  
Vol 39 (11) ◽  
pp. S79
Author(s):  
Manish Chand ◽  
Ian Chau ◽  
Ian Swift ◽  
Paris Tekkis ◽  
Gina Brown
Keyword(s):  
Rectal Cancer ◽  
Venous Invasion ◽  
Predictive Biomarker

scholarly journals Evaluation of potential tumor markers that may predict neoadjuvant treatment efficiency in rectal cancer

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Fatma Demet Arslan ◽  
Ayse Kocak ◽  
Cengiz Aydın ◽  
Emel Ebru Pala ◽  
Dilek Oncel ◽  
...  
Keyword(s):  
Gene Expression ◽  
Rectal Cancer ◽  
Tumor Markers ◽  
Locally Advanced ◽  
Neoadjuvant Treatment ◽  
Beclin 1 ◽  
Tumor Regression Grade ◽  
Protein Levels ◽  
Study Gene Expression ◽  
Regression Grade

AbstractObjectivesThe recurrence of rectal cancer or its resistance to neoadjuvant treatment develops due to the adaptation to hypoxia, apoptosis or autophagy. Survivin, one of the inhibitors of apoptosis; Beclin 1, which is a positive regulator in the autophagy pathway; and hypoxia-inducible factor-1α (HIF-1α) and carbonic anhydrase-9 (CA9), which are associated with tumor tissue hypoxia, may be related to resistance to treatment. Our aim was to evaluate the potential tumor markers that may help to monitor the response to neoadjuvant treatment in locally advanced rectal cancer (RC).MethodsTwenty-five patients with locally advanced RC were included in the study. Gene expression and protein levels of Beclin 1, Survivin, HIF-1α, and CA9 were analyzed in fresh tissue specimens and blood samples. The relationships of these markers to tumor staging and regression grade were evaluated.ResultsHigher blood CA9 gene expression levels and lower blood HIF-1α protein levels were found in the response group according to tumor regression grade. After neoadjuvant treatment, tissue Beclin 1 and blood Survivin gene expressions and tissue CA9, blood Beclin 1 and blood HIF-1α protein levels decreased significantly.ConclusionBeclin 1, Survivin, HIF-1α ve CA9 may help to predict the effects of the applied treatment approach.

scholarly journals Role of 18F-PET-CT to predict pathological response after neoadjuvant treatment of rectal cancer

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Riccardo Caruso ◽  
Emilio Vicente ◽  
Yolanda Quijano ◽  
Hipolito Duran ◽  
Isabel Fabra ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Fdg Pet ◽  
Locally Advanced ◽  
Neoadjuvant Treatment ◽  
Standardized Uptake Value ◽  
Tumour Regression Grade ◽  
Pet Ct ◽  
Significant Difference ◽  
18F Fdg ◽  
Fdg Pet Ct

Abstract Objectives Neoadjuvant chemoradiation (nCRT) is universally considered to be a valid treatment to achieve downstaging, to improve local disease control and to obtain better resectability in locally advanced rectal cancer (LARC). The aim of this study is to correlate the change in the tumour 18F-FDG PET-CT standardized uptake value (SUV) before and after nCRT, in order to obtain an early prediction of the pathologic response (pR) achieved in patients with LARC. Data description We performed a retrospective analysis of patients with LARC diagnosis who underwent curative resection. All patients underwent a baseline 18F-FDG PET-CT scan within the week prior to the initiation of the treatment (PET-CT SUV1) and a second scan (PET-CT SUV2) within 6 weeks of the completion of nCRT. We evaluated the prognostic value of 18F-FDG PET-CT in terms of disease-free survival (DFS) and overall survival (OS) in patients with LARC.A total of 133 patients with LARC were included in the study. Patients were divided in two groups according to the TRG (tumour regression grade): 107 (80%) as the responders group (TRG0-TRG1) and 26 (25%) as the no-responders group (TRG2-TRG3). We obtained a significant difference in Δ%SUV between the two different groups; responders versus no-responders (p < 0.012). The results of this analysis show that 18F-FDG PET-CT may be an indicator to evaluate the pR to nCRT in patients with LARC. The decrease in 18F-FDG PET-CT uptake in the primary tumour may offer important information in order for an early identification of those patients more likely to obtain a pCR to nCRT and to predict those who are unlikely to significantly regress.

scholarly journals Molecular and Dynamic Evaluation of Proteins Related to Resistance to Neoadjuvant Treatment with Chemoradiotherapy in Circulating Tumor Cells of Patients with Locally Advanced Rectal Cancer

Cells ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1539
Author(s):  
Virgílio Souza e Silva ◽  
Emne Ali Abdallah ◽  
Bianca de Cássia Troncarelli Flores ◽  
Alexcia Camila Braun ◽  
Daniela de Jesus Ferreira Costa ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Transforming Growth Factor ◽  
Locally Advanced ◽  
Neoadjuvant Treatment ◽  
Neoadjuvant Chemoradiotherapy ◽  
Disease Free Survival ◽  
Advanced Rectal Cancer ◽  
Locally Advanced Rectal Cancer

The heterogeneity of response to neoadjuvant chemoradiotherapy (NCRT) is still a challenge in locally advanced rectal cancer (LARC). The evaluation of thymidylate synthase (TYMS) and RAD23 homolog B (RAD23B) expression in circulating tumor cells (CTCs) provides complementary clinical information. CTCs were prospectively evaluated in 166 blood samples (63 patients) with LARC undergoing NCRT. The primary objective was to verify if the absence of RAD23B/TYMS in CTCs would correlate with pathological complete response (pCR). Secondary objectives were to correlate CTC kinetics before (C1)/after NCRT (C2), in addition to the expression of transforming growth factor-β receptor I (TGF-βRI) with survival rates. CTCs were isolated by ISET and evaluated by immunocytochemistry (protein expression). At C1, RAD23B was detected in 54.1% of patients with no pCR and its absence in 91.7% of patients with pCR (p = 0.014); TYMS− was observed in 90% of patients with pCR and TYMS+ in 51.7% without pCR (p = 0.057). Patients with CTC2 > CTC1 had worse disease-free survival (DFS) (p = 0.00025) and overall survival (OS) (p = 0.0036) compared with those with CTC2 ≤ CTC1. TGF-βRI expression in any time correlated with worse DFS (p = 0.059). To conclude, RAD23B/TYMS and CTC kinetics may facilitate the personalized treatment of LARC.

scholarly journals MRI-based clinical-radiomics model predicts tumor response before treatment in locally advanced rectal cancer

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Andrea Delli Pizzi ◽  
Antonio Maria Chiarelli ◽  
Piero Chiacchiaretta ◽  
Martina d’Annibale ◽  
Pierpaolo Croce ◽  
...  
Keyword(s):  
Machine Learning ◽  
Rectal Cancer ◽  
Treatment Response ◽  
Randomized Clinical Trials ◽  
Locally Advanced ◽  
Neoadjuvant Treatment ◽  
Learning Model ◽  
Partial Least Square ◽  
Machine Learning Model ◽  
Pre Treatment

AbstractNeoadjuvant chemo-radiotherapy (CRT) followed by total mesorectal excision (TME) represents the standard treatment for patients with locally advanced (≥ T3 or N+) rectal cancer (LARC). Approximately 15% of patients with LARC shows a complete response after CRT. The use of pre-treatment MRI as predictive biomarker could help to increase the chance of organ preservation by tailoring the neoadjuvant treatment. We present a novel machine learning model combining pre-treatment MRI-based clinical and radiomic features for the early prediction of treatment response in LARC patients. MRI scans (3.0 T, T2-weighted) of 72 patients with LARC were included. Two readers independently segmented each tumor. Radiomic features were extracted from both the “tumor core” (TC) and the “tumor border” (TB). Partial least square (PLS) regression was used as the multivariate, machine learning, algorithm of choice and leave-one-out nested cross-validation was used to optimize hyperparameters of the PLS. The MRI-Based “clinical-radiomic” machine learning model properly predicted the treatment response (AUC = 0.793, p = 5.6 × 10–5). Importantly, the prediction improved when combining MRI-based clinical features and radiomic features, the latter extracted from both TC and TB. Prospective validation studies in randomized clinical trials are warranted to better define the role of radiomics in the development of rectal cancer precision medicine.

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