Advanced imaging to predict response to chemotherapy in colorectal liver metastases – a systematic review

Beckers, Roeland C.Y.; Lambregts, Doenja M. J.; Lahaye, Max J.; Rao, Sheng-Xiang; Kleinen, Kelly; Grootscholten, Cecile; Beets, Geerard L.; Beets‐Tan, Regina G. H.; Maas, Monique

doi:10.1016/j.hpb.2017.10.013

Cited by 29 publications

(20 citation statements)

References 69 publications

(150 reference statements)

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“…The increase in the incidence of CRC among Chinese population in the past decade is closely related to the changes in people's living habits due to rapid economic development; these changes include unhealthy eating, drinking, smoking, lack of exercise and obesity (Zhu et al, 2017). Although the use of surgery and comprehensive treatment has benefited many CRC patients, nearly half of the patients who undergo radical surgery may relapse, and patients who die from CRC liver metastases account for more than 50% of all CRC-related deaths (Enomoto and Igaki, 2011;Beckers et al, 2018). The occurrence of CRC is an extremely complicated process that may involve biological behaviours such as cell proliferation, metabolism, apoptosis, invasion and metastasis Weinberg, 2000, 2011).…”

Section: Introductionmentioning

confidence: 99%

SCRIB Promotes Proliferation and Metastasis by Targeting Hippo/YAP Signalling in Colorectal Cancer

Shen

Huang

et al. 2021

Front. Cell Dev. Biol.

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The complex in which scribble planar cell polarity protein (SCRIB) is located is one of the three main polar protein complexes that play an important role in maintaining epithelial polarity and affecting tumour growth. However, the role of SCRIB in colorectal cancer (CRC) remains largely unknown. This study used date from The Cancer Genome Atlas (TCGA) and clinical samples to determine the expression of SCRIB in CRC and explored its mechanism through bioinformatics analysis and in vivo and in vitro experiments. In this study, SCRIB was found to be highly expressed in CRC patients, and it was often associated with malignant characteristics, such as proliferation, apoptosis, and epithelial-mesenchymal transition (EMT). Furthermore, we found that SCRIB may interact with the Hippo signalling pathway and affect the phosphorylation of YAP and its distribution inside and outside of the nucleus. We concluded that increased expression of SCRIB is likely to inhibit the Hippo signalling pathway by promoting YAP phosphorylation. This role of SCRIB in the progression of CRC provides an important information for the treatment of CRC.

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Section: Introductionmentioning

confidence: 99%

SCRIB Promotes Proliferation and Metastasis by Targeting Hippo/YAP Signalling in Colorectal Cancer

Shen

Huang

et al. 2021

Front. Cell Dev. Biol.

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“…The KRAS/NRAS/BRAF are the downstream effectors of the EGFR signal pathway involved in tumor cell proliferation, differentiation, and invasion ( 26 ). Tumors with mutant genes more likely exhibit greater aggressiveness and angiogenesis, which will result in faster progress, worse survival, and lower apparent diffusion coefficient (ADC) value ( 27 ). The DWI can indicate the functional information of tissue by evaluation of water molecular mobility, which is estimated with ADC value, while T2WI are prone to indicate anatomic information, which might explain the higher genotype prediction performance of DWI compared to that of T2WI.…”

Section: Discussionmentioning

confidence: 99%

Comparable Performance of Deep Learning–Based to Manual-Based Tumor Segmentation in KRAS/NRAS/BRAF Mutation Prediction With MR-Based Radiomics in Rectal Cancer

et al. 2021

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Radiomic features extracted from segmented tumor regions have shown great power in gene mutation prediction, while deep learning–based (DL-based) segmentation helps to address the inherent limitations of manual segmentation. We therefore investigated whether deep learning–based segmentation is feasible in predicting KRAS/NRAS/BRAF mutations of rectal cancer using MR-based radiomics. In this study, we proposed DL-based segmentation models with 3D V-net architecture. One hundred and eight patients’ images (T2WI and DWI) were collected for training, and another 94 patients’ images were collected for validation. We evaluated the DL-based segmentation manner and compared it with the manual-based segmentation manner through comparing the gene prediction performance of six radiomics-based models on the test set. The performance of the DL-based segmentation was evaluated by Dice coefficients, which are 0.878 ± 0.214 and 0.955 ± 0.055 for T2WI and DWI, respectively. The performance of the radiomics-based model in gene prediction based on DL-segmented VOI was evaluated by AUCs (0.714 for T2WI, 0.816 for DWI, and 0.887 for T2WI+DWI), which were comparable to that of corresponding manual-based VOI (0.637 for T2WI, P=0.188; 0.872 for DWI, P=0.181; and 0.906 for T2WI+DWI, P=0.676). The results showed that 3D V-Net architecture could conduct reliable rectal cancer segmentation on T2WI and DWI images. All-relevant radiomics-based models presented similar performances in KRAS/NRAS/BRAF prediction between the two segmentation manners.

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“…significant correlation may be attributed to the routine use of MRI for therapeutic evaluations at our hospital. It has also been revealed that the apparent diffusion coefficient of MRI is the most precise parameter for predicting the chemotherapy response in CRLM patients (33). The occurrence of major postoperative complications in CRLM patients often leads to unfavorable outcomes, such as poor quality of life, extended recovery time, and increased economic and physical stress.…”

Section: Predictive Value Of the Pre-nac Rdw Level And The Preoperative Rdw Level On Pfs And Osmentioning

confidence: 99%

Predictive value of red blood cell distribution width level on histological response and prognosis in colorectal liver metastases

Chen

Deng³

et al. 2021

Ann Palliat Med

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Background:The red blood cell distribution width (RDW) level is a potential prognostic factor for solid tumours.We aimed to investigate the predictive value of pre-neoadjuvant chemotherapy (pre-NAC) RDW, preoperative RDW and the change in RDW on the pathological response and prognosis of patients with colorectal liver metastasis (CRLM), which was helpful for treatment decision-making, surveillance and prognostication.Methods: This retrospective study analyzed clinicopathologic data, treatments and outcomes of 150 CRLM patients treated with NAC followed by liver resection at our hospital. The primary outcomes were progression-free survival (PFS) and overall survival (OS). The secondary outcome was postoperative major complications. The RDW level was presented as the RDW-SD level and the RDW-CV level. The optimal cut-off of RDW level was determined by X-tile analysis. The change in RDW was scored as 0 (decreased pre-NAC RDW and decreased preoperative RDW), 2 (elevated pre-NAC RDW and elevated preoperative RDW), or 1 (all other combinations). Multivariable logistic regression analysis was performed to determine the relationships between the tumour characteristics and pathological response and the postoperative major complications. A multivariate Cox proportional hazards model was used to evaluate the prognostic factors associated with survival.Results: The optimal cut-off values of the RDW-CV and RDW-SD levels for survival were 13.5% and 42.2 fl, respectively. The multivariate analysis showed that a preoperative RDW-CV ≥13.5% (OR =3.215, 95% CI: 1.299-7.958, P=0.012) significantly predicted a favorable pathological response. The multivariate analysis revealed that a pre-NAC RDW-CV ≥13.5% (OR =2.462, 95% CI: 1.080-5.615, P=0.032) significantly predicted postoperative major complications. In the multivariate analysis, an RDW-CV change =2 (HR =0.487, 95% CI: 0.309-0.768, P=0.002) was a significant predictor of better PFS. The multivariate analysis also revealed that an RDW-SD change =2 (HR =0.532, 95% CI: 0.332-0.854, P=0.009) were an independent predictor of better OS.Conclusions: This study revealed that pre-NAC RDW, preoperative RDW and RDW changes may be reliable markers that could predict a pathological response and prognosis in CRLM patients receiving NAC followed by liver resection.

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Advanced imaging to predict response to chemotherapy in colorectal liver metastases – a systematic review

Cited by 29 publications

References 69 publications

SCRIB Promotes Proliferation and Metastasis by Targeting Hippo/YAP Signalling in Colorectal Cancer

SCRIB Promotes Proliferation and Metastasis by Targeting Hippo/YAP Signalling in Colorectal Cancer

Comparable Performance of Deep Learning–Based to Manual-Based Tumor Segmentation in KRAS/NRAS/BRAF Mutation Prediction With MR-Based Radiomics in Rectal Cancer

Predictive value of red blood cell distribution width level on histological response and prognosis in colorectal liver metastases

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