Accuracy of the Narrow-Band Imaging International Colorectal Endoscopic Classification System in Identification of Deep Invasion in Colorectal Polyps

Puig, Ignasi; López-Cerón, María; Arnau, Anna; Rosiñol, Òria; Cuatrecasas, Míriam; Herreros–de–Tejada, Alberto; Ferrández, Ángel; Serra-Burriel, Miquel; Nogales, Óscar; Vida, Francesc; Castro, Luísa; López-Vicente, Jorge; Vega, Pablo; Álvarez-González, Marco A.; González-Santiago, Jesús M.; Hernández‐Conde, Marta; Díez-Redondo, Pilar; Rivero‐Sánchez, Liseth; Gimeno–García, Antonio Z.; Burgos, Aurora; García‐Alonso, Francisco Javier; Bustamante-Balén, Marco; Martínez–Bauer, Eva; Peñas, Beatriz; Pellisé, María; Muñoz, Guillermo; Peligros, Isabel; Baiges, A.; Elbouayadl, Liliam; Carames, Nuria; Iglesias, Mar; Carmen, Sofía Del; González-Lois, Carmen; Núñez, Henar; Hernández, Sonia García; Pastrián, Laura Guerra; Carreira, Montserrat López; Casalots, Àlex; Caminoa, Alejandra; Solano, Marina Asunción Pardina; López-Ibáñez, María; Llaó, Jordina; Estévez, Pamela; Rodríguez‐Alcalde, Daniel; Soto, Santiago; Pantaleón, Miguel; Álvarez, Alberto; Martínez, Tomás Zamora; Pascual, Juan Manuel del Valle; Ducóns, Julio; García-Lledó, Javier; Porta, Francesc; Hernández, Vicent; Cubiella, Joaquín; Riu, Faust; Simón, Miguel Ángel; Melodelima, David; Seoane, Agustín; Gomollón, Fernando; Cid, Lucía; Sostres, Carlos; Domínguez, Fulgencio; Macenlle, Ramiro; Revilla, Juan de la; Isava, Álvaro; Campo, Rafael; Poza, Gema de la; Martínez, Alfonso; Quintas, Paola; Sanchez, Emily; Foruny, José Ramón; Marín, E.; Martínez, José Luis; Castro, Maria Inés; González, Juan Ángel; Llop, Elba; Martín, Eduardo; Rey, Rafael Ubaldo Gosálvez; Sort, Pau; Montesinos, J.; Fornells, Marta; Ascon, Nàdia

doi:10.1053/j.gastro.2018.10.004

Cited by 79 publications

(82 citation statements)

References 32 publications

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“…Although early detection methods, increased awareness and improved treatment modalities have led to a reduction in both incidence and cancer death rates in several western countries, colorectal neoplasia are still one of the most deadly cancers, causing around 880 000 deaths worldwide every year . The 5‐year survival rate of colorectal cancer patients for localized‐stage is 90%, but decreases to 71% and 14% for regional and distant stage, respectively , although some relatively new strategies are developed to predict surgical resection more accurately such as ‘watch and wait’ strategy and Narrow‐band Imaging International Colorectal Endoscopic Classification (NICE) . Thus, novel therapies are required to improve the prognosis of colorectal cancer patients.…”

Section: Introductionmentioning

confidence: 99%

Death receptor 5 is activated by fucosylation in colon cancer cells

et al. 2019

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The remarkable pro‐apoptotic properties of tumour necrosis factor (TNF)‐related apoptosis‐inducing ligand (TRAIL) have led to considerable interest in this protein as a potential anticancer therapeutic. However, TRAIL is largely ineffective in inducing apoptosis in certain cancer cells, and the mechanisms underlying this selectivity are unknown. In colon adenocarcinomas, posttranslational modifications including O‐ and N‐ glycosylation of death receptors were found to correlate with TRAIL‐induced apoptosis. Additionally, mRNA levels of fucosyltransferase 3 (FUT3) and 6 (FUT6) were found to be high in the TRAIL‐sensitive colon adenocarcinoma cell line COLO 205. In this study, we use agonistic receptor‐specific TRAIL variants to dissect the contribution of FUT3 and FUT6‐mediated fucosylation to TRAIL‐induced apoptosis via its two death receptors, DR4 and DR5. Triggering of apoptosis by TRAIL revealed that the low FUT3/6‐expressing cells DLD‐1 and HCT 116 are insensitive to DR5 but not to DR4‐mediated apoptosis. By contrast, efficient apoptosis is mediated via both receptors in high FUT3/6‐expressing COLO 205 cells. The reconstitution of FUT3/6 expression in DR5‐resistant cells completely restored TRAIL sensitivity via this receptor, while only marginally enhancing apoptosis via DR4 at lower TRAIL concentrations. Interestingly, we observed that induction of the salvage pathway by external administration of l‐fucose restores DR5‐mediated apoptosis in both DLD‐1 and HCT 116 cells. Finally, we show that fucosylation influences the ligand‐independent receptor association that leads to increased death inducing signalling complex (DISC) formation and caspase‐8 activation. Taken together, these results provide evidence for the differential impact of fucosylation on signalling via DR4 or DR5. These findings provide novel opportunities to enhance TRAIL sensitivity in colon adenocarcinoma cells that are highly resistant to DR5‐mediated apoptosis.

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Section: Introductionmentioning

confidence: 99%

Death receptor 5 is activated by fucosylation in colon cancer cells

et al. 2019

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“…However, the accuracy of identifying protruding type CRCs was relatively low (82 %) even for experts [5]. In spite of using narrow band imaging (NBI), recent multicenter clinical trials of non-magnified colonoscopy failed to improve diagnostic performance for T1b lesions (sensitivity 63 % [6], 58 % [7]). These results suggest that it is still difficult to identify T1b CRCs based on non-magnified colonoscopic observation alone.…”

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confidence: 99%

Diagnostic performance of artificial intelligence to identify deeply invasive colorectal cancer on non-magnified plain endoscopic images

et al. 2020

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Background and study aims Colorectal cancers (CRC) with deep submucosal invasion (T1b) could be metastatic lesions. However, endoscopic images of T1b CRC resemble those of mucosal CRCs (Tis) or with superficial invasion (T1a). The aim of this study was to develop an automatic computer-aided diagnosis (CAD) system to identify T1b CRC based on plain endoscopic images. Patients and methods In two hospitals, 1839 non-magnified plain endoscopic images from 313 CRCs (Tis 134, T1a 46, T1b 56, beyond T1b 37) with sessile morphology were extracted for training. A CAD system was trained with the data augmented by rotation, saturation, resizing and exposure adjustment. Diagnostic performance was assessed using another dataset including 44 CRCs (Tis 23, T1b 21) from a third hospital. CAD generated a probability level for T1b diagnosis for each image, and > 95 % of probability level was defined as T1b. Lesions with at least one image with a probability level > 0.95 were regarded as T1b. Primary outcome is specificity. Six physicians separately read the same testing dataset. Results Specificity was 87 % (95 % confidence interval: 66–97) for CAD, 100 % (85–100) for Expert 1, 96 % (78–100) for Expert 2, 61 % (39–80) for both gastroenterology trainees, 48 % (27–69) for Novice 1 and 22 % (7–44) for Novice 2. Significant differences were observed between CAD and both novices (P = 0.013, P = 0.0003). Other diagnostic values of CAD were slightly lower than of the two experts. Conclusions Specificity of CAD was superior to novices and possibly to gastroenterology trainees but slightly inferior to experts.

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“…The identification of specific species associated with invasive opposed to early cancer could further aid the troublesome prediction of early versus invasive cancer. A recent large prospective study has found an accuracy and sensitivity for deep invasion prediction of 77% and 58.4%, respectively . The use of quantitative tests for RA of specific bacteria (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…A recent large prospective study has found an accuracy and sensitivity for deep invasion prediction of 77% and 58.4%, respectively. 16 The use of quantitative tests for RA of specific bacteria (e.g. Fn) in addition to endoscopic imaging could potentially improve this prediction.…”

Section: Discussionmentioning

confidence: 99%

Microbiota profile is different for early and invasive colorectal cancer and is consistent throughout the colon

Yamamoto

Honda

et al. 2019

J of Gastro and Hepatol

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Background and Aim Microbiota have been associated with several diseases including colorectal cancer (CRC). This study aimed to evaluate the microbiota in early/invasive CRC utilizing stool and cytological brushes to determine differences in relative abundance (RA). Methods Colonoscopy patients referred for endoscopic submucosal dissection or previous to CRC surgery were prospectively enrolled. Stool was collected pre‐bowel preparation; and brush samples were taken during colonoscopy (three regions). DNA extraction, 16S rRNA next generation sequencing, and biostatistics (qiime and stamp software packages) followed. Primary outcome was the difference in RA of the Fusobacterium genus between the groups. Secondary outcomes included analyses of other microbiota. Results Twenty‐five patients were included, of which 14 had invasive cancer (≥ 1000 mm into the submucosa). The three major genera for invasive cancer were Bacterioides, Oribacterium, and Fusobacterium, whereas for early cancer were Oribacterium, Bacterioides, and Prevotella (decreasing order of RA). There was a significantly higher RA of Fusobacterium in the invasive cancer group (9.65% vs 0.95%, respectively, P < 0.001). The RA of all genera was similar throughout the colon. In addition to Fusobacterium, the genera Corynebacterium, Enterococcus, Neisseria, Porphyromonas, and Sclegelella showed statistically higher RA in the invasive cancer group. Conversely, the genera Oribacterium, Desulfovibrio, Clostridiales, and Lactobacillus showed lower RA in the invasive cancer group. Conclusions The RA of Fusobacterium is higher with invasive CRC than in early CRC patients. In addition, five other bacteria genera were found to be increased, and four decreased in invasive CRC patients. The microbiota per patient was similar throughout the colon.

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Accuracy of the Narrow-Band Imaging International Colorectal Endoscopic Classification System in Identification of Deep Invasion in Colorectal Polyps

Cited by 79 publications

References 32 publications

Death receptor 5 is activated by fucosylation in colon cancer cells

Death receptor 5 is activated by fucosylation in colon cancer cells

Diagnostic performance of artificial intelligence to identify deeply invasive colorectal cancer on non-magnified plain endoscopic images

Microbiota profile is different for early and invasive colorectal cancer and is consistent throughout the colon

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