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5. Efficacy of a whole slide image‐based prediction model for lymph node metastasis in T1 colorectal cancer: A systematic review.

Author

Ichimasa, Katsuro, Kouyama, Yuta, Kudo, Shin‐ei, Takashina, Yuki, Nemoto, Tetsuo, Watanabe, Jun, Takamatsu, Manabu, Maeda, Yasuharu, Yeoh, Khay Guan, Miyachi, Hideyuki, and Misawa, Masashi

Subjects
*RECEIVER operating characteristic curves, *LYMPHATIC metastasis, *ARTIFICIAL intelligence, *COLORECTAL cancer, *LYMPH nodes
Abstract

Background and Aim Methods Results Conclusions Accurate stratification of the risk of lymph node metastasis (LNM) following endoscopic resection of submucosal invasive (T1) colorectal cancer (CRC) is imperative for determining the necessity for additional surgery. In this systematic review, we evaluated the efficacy of prediction of LNM by artificial intelligence (AI) models utilizing whole slide image (WSI) in patients with T1 CRC.In accordance with the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guidelines, a systematic review was conducted through searches in PubMed (MEDLINE), Embase, and the Cochrane Library for relevant studies published up to December 2023. The inclusion criteria were studies assessing the accuracy of hematoxylin and eosin‐stained WSI‐based AI models for predicting LNM in patients with T1 CRC.Four studies met the criteria for inclusion in this systematic review. The area under the receiver operating characteristic curve for these AI models ranged from 0.57 to 0.76. In the three studies in which AI performance was compared directly with current treatment guidelines, AI consistently exhibited a higher area under the receiver operating characteristic curve. At a fixed sensitivity of 100%, specificities ranged from 18.4% to 45.0%.Artificial intelligence models based on WSI can potentially address the issue of diagnostic variability between pathologists and exceed the predictive accuracy of current guidelines. However, these findings require confirmation by larger studies that incorporate external validation. [ABSTRACT FROM AUTHOR]

Published
2024
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6. Left-sided location is a risk factor for lymph node metastasis of T1 colorectal cancer: a single-center retrospective study

Author

Mochizuki, Kenichi, Kudo, Shin-ei, Ichimasa, Katsuro, Kouyama, Yuta, Matsudaira, Shingo, Takashina, Yuki, Maeda, Yasuharu, Ishigaki, Tomoyuki, Nakamura, Hiroki, Toyoshima, Naoya, Mori, Yuichi, Misawa, Masashi, Ogata, Noriyuki, Kudo, Toyoki, Hayashi, Takemasa, Wakamura, Kunihiko, Sawada, Naruhiko, Ishida, Fumio, and Miyachi, Hideyuki

Published
2020
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9. Impact of computer‐aided characterization for diagnosis of colorectal lesions, including sessile serrated lesions: Multireader, multicase study.

Author

Kato, Shun, Kudo, Shin‐ei, Minegishi, Yosuke, Miyata, Yuki, Maeda, Yasuharu, Kuroki, Takanori, Takashina, Yuki, Mochizuki, Kenichi, Tamura, Eri, Abe, Masahiro, Sato, Yuta, Sakurai, Tatsuya, Kouyama, Yuta, Tanaka, Kenta, Ogawa, Yushi, Nakamura, Hiroki, Ichimasa, Katsuro, Ogata, Noriyuki, Hisayuki, Tomokazu, and Hayashi, Takemasa

Subjects
COLON polyps, POLYPS, COMPUTER-aided diagnosis, FORCEPS
Abstract

Objectives: Computer‐aided characterization (CADx) may be used to implement optical biopsy strategies into colonoscopy practice; however, its impact on endoscopic diagnosis remains unknown. We aimed to evaluate the additional diagnostic value of CADx when used by endoscopists for assessing colorectal polyps. Methods: This was a single‐center, multicase, multireader, image‐reading study using randomly extracted images of pathologically confirmed polyps resected between July 2021 and January 2022. Approved CADx that could predict two‐tier classification (neoplastic or nonneoplastic) by analyzing narrow‐band images of the polyps was used to obtain a CADx diagnosis. Participating endoscopists determined if the polyps were neoplastic or not and noted their confidence level using a computer‐based, image‐reading test. The test was conducted twice with a 4‐week interval: the first test was conducted without CADx prediction and the second test with CADx prediction. Diagnostic performances for neoplasms were calculated using the pathological diagnosis as reference and performances with and without CADx prediction were compared. Results: Five hundred polyps were randomly extracted from 385 patients and diagnosed by 14 endoscopists (including seven experts). The sensitivity for neoplasia was significantly improved by referring to CADx (89.4% vs. 95.6%). CADx also had incremental effects on the negative predictive value (69.3% vs. 84.3%), overall accuracy (87.2% vs. 91.8%), and high‐confidence diagnosis rate (77.4% vs. 85.8%). However, there was no significant difference in specificity (80.1% vs. 78.9%). Conclusions: Computer‐aided characterization has added diagnostic value for differentiating colorectal neoplasms and may improve the high‐confidence diagnosis rate. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Depressed Colorectal Cancer: A New Paradigm in Early Colorectal Cancer

Author

Kudo, Shin-ei, Kouyama, Yuta, Ogawa, Yushi, Ichimasa, Katsuro, Hamada, Tsuyoshi, Kato, Kazuki, Kudo, Koki, Masuda, Takaaki, Otsu, Hajime, Misawa, Masashi, Mori, Yuichi, Kudo, Toyoki, Hayashi, Takemasa, Wakamura, Kunihiko, Miyachi, Hideyuki, Sawada, Naruhiko, Sato, Toshiro, Shibata, Tatsuhiro, Hamatani, Shigeharu, Nemoto, Tetsuo, Ishida, Fumio, Niida, Atsushi, Miyano, Satoru, Oshima, Masanobu, Ogino, Shuji, and Mimori, Koshi

Published
2020
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12. Whole slide image‐based prediction of lymph node metastasis in T1 colorectal cancer using unsupervised artificial intelligence.

Author

Takashina, Yuki, Kudo, Shin‐ei, Kouyama, Yuta, Ichimasa, Katsuro, Miyachi, Hideyuki, Mori, Yuichi, Kudo, Toyoki, Maeda, Yasuharu, Ogawa, Yushi, Hayashi, Takemasa, Wakamura, Kunihiko, Enami, Yuta, Sawada, Naruhiko, Baba, Toshiyuki, Nemoto, Tetsuo, Ishida, Fumio, and Misawa, Masashi

Subjects
LYMPHATIC metastasis, ARTIFICIAL intelligence, COLORECTAL cancer, RECEIVER operating characteristic curves, RANDOM forest algorithms
Abstract

Objectives: Lymph node metastasis (LNM) prediction for T1 colorectal cancer (CRC) is critical for determining the need for surgery after endoscopic resection because LNM occurs in 10%. We aimed to develop a novel artificial intelligence (AI) system using whole slide images (WSIs) to predict LNM. Methods: We conducted a retrospective single center study. To train and test the AI model, we included LNM status‐confirmed T1 and T2 CRC between April 2001 and October 2021. These lesions were divided into two cohorts: training (T1 and T2) and testing (T1). WSIs were cropped into small patches and clustered by unsupervised K‐means. The percentage of patches belonging to each cluster was calculated from each WSI. Each cluster's percentage, sex, and tumor location were extracted and learned using the random forest algorithm. We calculated the areas under the receiver operating characteristic curves (AUCs) to identify the LNM and the rate of over‐surgery of the AI model and the guidelines. Results: The training cohort contained 217 T1 and 268 T2 CRCs, while 100 T1 cases (LNM‐positivity 15%) were the test cohort. The AUC of the AI system for the test cohort was 0.74 (95% confidence interval [CI] 0.58–0.86), and 0.52 (95% CI 0.50–0.55) using the guidelines criteria (P = 0.0028). This AI model could reduce the 21% of over‐surgery compared to the guidelines. Conclusion: We developed a pathologist‐independent predictive model for LNM in T1 CRC using WSI for determination of the need for surgery after endoscopic resection. Trial registration: UMIN Clinical Trials Registry (UMIN000046992, https://center6.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000053590). [ABSTRACT FROM AUTHOR]

Published
2023
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14. Management of T1 colorectal cancers after endoscopic treatment based on the risk stratification of lymph node metastasis

Author

Miyachi, Hideyuki, Kudo, Shin-ei, Ichimasa, Katsuro, Hisayuki, Tomokazu, Oikawa, Hiromasa, Matsudaira, Shingo, Kouyama, Yuta, Kimura, Yui Jennifer, Misawa, Masashi, Mori, Yuichi, Ogata, Noriyuki, Kudo, Toyoki, Kodama, Kenta, Hayashi, Takemasa, Wakamura, Kunihiko, Katagiri, Atsushi, Baba, Toshiyuki, Hidaka, Eiji, Ishida, Fumio, Kohashi, Kenichi, and Hamatani, Shigeharu

Published
2016
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15. Molecular and clinicopathological differences between depressed and protruded T2 colorectal cancer.

Author

Mochizuki, Kenichi, Kudo, Shin-ei, Kato, Kazuki, Kudo, Koki, Ogawa, Yushi, Kouyama, Yuta, Takashina, Yuki, Ichimasa, Katsuro, Tobo, Taro, Toshima, Takeo, Hisamatsu, Yuichi, Yonemura, Yusuke, Masuda, Takaaki, Miyachi, Hideyuki, Ishida, Fumio, Nemoto, Tetsuo, and Mimori, Koshi

Subjects
COLORECTAL cancer, GENE expression profiling, CLINICAL pathology, SURGICAL excision, DNA mismatch repair, PROGRESSION-free survival
Abstract

Background: Colorectal cancer (CRC) can be classified into four consensus molecular subtypes (CMS) according to genomic aberrations and gene expression profiles. CMS is expected to be useful in predicting prognosis and selecting chemotherapy regimens. However, there are still no reports on the relationship between the morphology and CMS. Methods: This retrospective study included 55 subjects with T2 CRC undergoing surgical resection, of whom 30 had the depressed type and 25 the protruded type. In the classification of the CMS, we first defined cases with deficient mismatch repair as CMS1. And then, CMS2/3 and CMS4 were classified using an online classifier developed by Trinh et al. The staining intensity of CDX2, HTR2B, FRMD6, ZEB1, and KER and the percentage contents of CDX2, FRMD6, and KER are input into the classifier to obtain automatic output classifying the specimen as CMS2/3 or CMS4. Results: According to the results yielded by the online classifier, of the 30 depressed-type cases, 15 (50%) were classified as CMS2/3 and 15 (50%) as CMS4. Of the 25 protruded-type cases, 3 (12%) were classified as CMS1 and 22 (88%) as CMS2/3. All of the T2 CRCs classified as CMS4 were depressed CRCs. More malignant pathological findings such as lymphatic invasion were associated with the depressed rather than protruded T2 CRC cases. Conclusions: Depressed-type T2 CRC had a significant association with CMS4, showing more malignant pathological findings such as lymphatic invasion than the protruded-type, which could explain the reported association between CMS4 CRC and poor prognosis. [ABSTRACT FROM AUTHOR]

Published
2022
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16. A NEW ENDOSCOPIC TREATMENT STRATEGY BASED ON THE RISK OF LYMPH NODE METASTASIS OF T2 COLORECTAL CANCER.

Author

Semba, Shigenori, Kudo, Shin-ei, Ichimasa, Katsuro, Morita, Yuriko, Iwasaki, Shunto, Kawabata, Yurie, Shiina, Osamu, Takashina, Yuki, Kouyama, Yuta, Nakahara, Kenta, Takehara, Yusuke, Mukai, Shunpei, Misawa, Masashi, Hayashi, Takemasa, Wakamura, Kunihiko, Sawada, Naruhiko, Baba, Toshiyuki, Nemoto, Tetsuo, Ishida, Fumio, and Miyachi, Hideyuki

Published
2024
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17. EVALUATING THE IMPACT OF COMPUTER-AIDED QUALITY IMPROVEMENT ON COLONOSCOPY.

Author

Kondo, Kotaro, Kudo, Shin-ei, Misawa, Masashi, Shibuya, Tomoya, Nemoto, Tetsuo, Ishida, Fumio, Baba, Toshiyuki, Miyachi, Hideyuki, Wakamura, Kunihiko, Hayashi, Takemasa, Matsudaira, Shingo, Nakamura, Hiroki, Ichimasa, Katsuro, Yasuharu, Maeda, Kouyama, Yuta, Sakurai, Tatsuya, Ogawa, Yushi, Sato, Yuta, Ide, Yutaro, and Iwasaki, Shunto

Published
2024
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18. A PROSPECTIVE OBSERVATIONAL STUDY TO EVALUATE THE ABILITY OF AN ARTIFICIAL INTELLIGENCE NAVIGATION SYSTEM TO RECOGNIZE BLOOD VESSELS, SUBMUCOSA, AND MUSCLE LAYERS IN COLORECTAL SUBMUCOSAL DISSECTION.

Author

Sakurai, Tatsuya, Kudo, Shin-ei, Hayashi, Takemasa, Misawa, Masashi, Ogawa, Yushi, Tamura, Eri, Mochizuki, Kenichi, Sato, Yuta, Kouyama, Yuta, Nakamura, Hiroki, Ichimasa, Katsuro, Matsudaira, Shingo, Ogata, Noriyuki, Wakamura, Kunihiko, Miyachi, Hideyuki, Ishida, Fumio, and Baba, Toshiyuki

Published
2024
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19. Current problems and perspectives of pathological risk factors for lymph node metastasis in T1 colorectal cancer: Systematic review.

Author

Ichimasa, Katsuro, Kudo, Shin‐ei, Miyachi, Hideyuki, Kouyama, Yuta, Mochizuki, Kenichi, Takashina, Yuki, Maeda, Yasuharu, Mori, Yuichi, Kudo, Toyoki, Miyata, Yuki, Akimoto, Yoshika, Kataoka, Yuki, Kubota, Takafumi, Nemoto, Tetsuo, Ishida, Fumio, and Misawa, Masashi

Subjects
LYMPHATIC metastasis, COLORECTAL cancer, TUMOR budding, ENDOSCOPIC surgery, SURGICAL excision
Abstract

With the prevalence of endoscopic submucosal dissection and endoscopic full thickness resection, which enable complete resection of T1 colorectal cancer with a negative margin, the treatment strategy following endoscopic resection has become more important. The necessity of secondary surgical resection is determined on the basis of the risk of lymph node metastasis according to the histopathological findings of resected specimens because ~10% of T1 colorectal cancer cases have lymph node metastasis. The current Japanese treatment guidelines state four risk factors for lymph node metastasis: lymphovascular invasion, histological differentiation, depth of submucosal invasion, and tumor budding. These guidelines have succeeded in stratifying the low‐risk group for lymph node metastasis, in which endoscopic resection alone is acceptable for cure. On the other hand, there are some problems: there is variation in diagnosis methods and low interobserver agreement for each pathological factor and 90% of surgical resections are unnecessary, with lymph node metastasis negativity. To ensure patients with T1 colorectal cancer receive more appropriate treatment, these problems should be addressed. In this systematic review, we gave some suggestions to these practical issues of four pathological factors as predictors. [ABSTRACT FROM AUTHOR]

Published
2022
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20. EVALUATION OF THE IMPACT OF ARTIFICIAL INTELLIGENCE (AI)-ASSISTED CHARACTERIZATION FOR COLORECTAL LESIONS USING NARROW-BAND IMAGING FOR THE DIAGNOSTIC OF ENDOSCOPISTS -MULTI-READER, MULTI-CASE STUDY-

Author

Kato, Shun, Kudo, Shin-ei, Misawa, Masashi, Niimura, Yu, Sasabe, Keisuke, Shibuya, Tomoya, Ide, Yutaro, Senba, Shigenori, Iwasaki, Shunto, Kawabata, Yurie, Shiina, Osamu, Morita, Yuriko, Kuroki, Takanori, Miyata, Yuki, Tamura, Eri, Abe, Masahiro, Sato, Yuta, Sakurai, Tatsuya, Kouyama, Yuta, Igarashi, Kenta, Ogawa, Yushi, Maeda, Yasuharu, Nakamura, Hiroki, Ichimasa, Katsuro, Matsudaira, Shingo, Ogata, Noriyuki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Miyachi, Hideyuki, Baba, Toshiyuki, Ishida, Fumio, and Nemoto, Tetsuo

Published
2023
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21. DIAGNOSTIC PERFORMANCE OF ARTIFICIAL INTELLIGENCE AND MAGNIFYING ENDOSCOPY IN THE PREDICTION OF THE INVASION DEPTH OF EARLY COLORECTAL CANCER

Author

Tamura, Eri, Kudo, Shin-ei, Misawa, Masashi, Shiina, Osamu, Morita, Yuriko, Kuroki, Takanori, Kato, Shun, Miyata, Yuki, Takashina, Yuki, Ishiyama, Misaki, Mochizuki, Kenichi, Ogura, Yohei, Abe, Masahiro, Sato, Yuta, Sakurai, Tatsuya, Kouyama, Yuta, Igarashi, Kenta, Ogawa, Yushi, Maeda, Yasuharu, Nakamura, Hiroki, Ichimasa, Katsuro, Matsudaira, Shingo, Ogata, Noriyuki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Miyachi, Hideyuki, Ishida, Fumio, Baba, Toshiyuki, and Nemoto, Tetsuo

Published
2023
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23. WHOLE-SLIDE IMAGES USING ARTIFICIAL INTELLIGENCE CAN DECIDE THE NEED FOR SECONDARY SURGERY AFTER ENDOSCOPIC RESECTION OF T1 COLORECTAL CANCER

Author

Takashina, Yuki, Kudo, Shin-ei, Kouyama, Yuta, Miyachi, Hideyuki, Ichimasa, Katsuro, Mochizuki, Kenichi, Ogawa, Yushi, Yasuharu, Maeda, Mori, Yuichi, Kudo, Toyoki, Takehara, Yusuke, Mukai, Shunpei, Hayashi, Takemasa, Wakamura, Kunihiko, Enami, Yuta, Sawada, Naruhiko, Baba, Toshiyuki, Nemoto, Tetsuo, Ishida, Fumio, and Misawa, Masashi

Published
2023
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26. A NOVEL ENDOSCOPIC RESECTION APPROACH FOR T2 COLORECTAL CANCER -ANALYSIS OF RISK FACTORS FOR LYMPH NODE METASTASIS-

Author

Morita, Yuriko, Kudo, Shin-ei, Ichimasa, Katsuro, Takashina, Yuki, Kouyama, Yuta, Mochizuki, Kenichi, Shiina, Osamu, Kato, Shun, Kuroki, Takanori, Nakahara, Kenta, Sato, Yuta, Sakurai, Tatsuya, Ogawa, Yushi, Yasuharu, Maeda, Misawa, Masashi, Hayashi, Takemasa, Wakamura, Kunihiko, Enami, Yuta, Sawada, Naruhiko, Nemoto, Tetsuo, Baba, Toshiyuki, Ishida, Fumio, and Miyachi, Hideyuki

Published
2023
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27. Does the selection of colonoscope affect the quality of difficult-insertion cases?: PR0116: Endoscopy and Imaging (Diagnostic Imaging)

Author

YAMAUCHI, AKIHIRO, KUDO, SHIN-EI, MIYACHI, HIDEYUKI, OGAWA, YUSHI, IGARASHI, KENTA, MAEDA, YASUHARU, OKA, YUI, KATAOKA, SHINICHI, KOUYAMA, YUTA, SAKURAI, TATSUYA, KUDO, KOKI, ICHIMASA, KATSURO, HAYASHI, SEIKO, OIKAWA, HIROMASA, SUGIHARA, YUSHAKU, MISAWA, MASASHI, MORI, YUICHI, KODAMA, KENTA, KUDO, TOYOKI, HISAYUKI, TOMOKAZU, HAYASHI, TAKEMASA, WAKAMURA, KUNIHIKO, and OHKOSHI, SHOGO

Published
2013

28. Changes in halitosis value before and after Helicobacter pylori eradication: A single‐institutional prospective study.

Author

Kudo, Yui, Kudo, Shin‐ei, Miyachi, Hideyuki, Ichimasa, Katsuro, Ogawa, Yushi, Kouyama, Yuta, Sakurai, Tatsuya, Ikeda, Mikiko, Saito, Yumi, Kamada, Tamaki, and Gotoda, Takuji

Subjects
HELICOBACTER pylori, BAD breath, BREATH tests, LONGITUDINAL method, HELICOBACTER diseases
Abstract

Background and Aim: Although patients report either improved or worsened halitosis after Helicobacter pylori eradication therapy, such complaints are subjective. Only a few studies have objectively evaluated reports of changes in halitosis after H. pylori eradication; thus, this study aimed to investigate these changes after a successful H. pylori eradication. Methods: Between February 2015 and October 2018, 56 347 patients visited the clinic. Informed consent for participation in this study was obtained from 164 patients scheduled to undergo upper gastrointestinal endoscopy due to halitosis. Of the 91 patients with H. pylori infection, the halitosis values were evaluated as Refres breath (RB) values using a Total Gas Detector™ System and compared before and after successful H. pylori eradication, as confirmed with urea breath testing. Results: Among the 91 patients treated, 77 patients were successfully eradicated of H. pylori and had their Refres values measured (21 men and 56 women; mean age, 64.2 ± 11.5 years, including 10 smokers); among these 77 patients, 27 showed RB values of > 60. Their RB values significantly improved from 73.5 Â (95% confidence interval [CI], 64.1–82.9) to 59.4 Â (95% CI, 50.0–68.8) (P = 0.038). Of the 30 patients who could be followed up for > 2 years after successful H. pylori eradication, 8 with an RB value ≥ 60 showed significant RB value improvements from 77.9 Â (95% CI, 59.4–96.4) to 30.1 Â (95% CI, 11.6–48.6) (P = 0.0016). Conclusions: Helicobacter pylori eradication therapy could improve halitosis, and such improvement could be maintained even 2 years after successful eradication. [ABSTRACT FROM AUTHOR]

Published
2022
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30. ARTIFICIAL INTELLIGENCE-ASSISTED PREDICTION OF LYMPH NODE METASTASIS IN COLORECTAL CANCER USING WHOLE PATHOLOGICAL SLIDE IMAGES

Author

Takashina, Yuki, Kudo, Shinei, Miyachi, Hideyuki, Ichimasa, Katsuro, Kouyama, Yuta, Ogawa, Yushi, Mori, Yuichi, Maeda, Yasuharu, Kudo, Toyoki, Shimada, Shoji, Nakahara, Kenta, Takehara, Yusuke, Mukai, Shunpei, Hayashi, Takemasa, Wakamura, Kunihiko, Enami, Yuta, Sawada, Naruhiko, Baba, Toshiyuki, Nemoto, Tetsuo, Ishida, Fumio, and Misawa, Masashi

Published
2022
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32. EFFECTIVENESS OF OBSERVING DEPRESSED-TYPE COLORECTAL NEOPLASMS IN MAGNIFYING ENDOSCOPY AND ENDOCYTOSCOPY.

Author

Kudo, Shinei, Miyata, Yuki, Abe, Masahiro, Akimoto, Yoshika, Mochida, Kentaro, Takashina, Yuki, Mochizuki, Kenichi, Ogura, Yohei, Kouyama, Yuta, Ogawa, Yushi, Yasuharu, Maeda, Ichimasa, Katsuro, Matsudaira, Shingo, Nakamura, Hiroki, Misawa, Masashi, Mori, Yuichi, Ogata, Noriyuki, Hayashi, Takemasa, Miyachi, Hideyuki, Baba, Toshiyuki, and Ishida, Fumio

Published
2022
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33. THE INDICATION FOR ADDITIONAL SURGERY WITH LYMPH NODE DISECTION AMONG ELDERY PATIENTS WITH T1 COLORECTAL CANCERS TREATED ENDOSCOPICALLY

Author

Miyachi, Hideyuki, Kudo, Shinei, Kouyama, Yuta, Ichimasa, Katsuro, Matsudaira, Shingo, Mochizuki, Kenichi, Takashina, Yuki, Ogawa, Yushi, Yasuharu, Maeda, Nakamura, Hiroki, Misawa, Masashi, Mori, Yuichi, Ogata, Noriyuki, Hisayuki, Tomokazu, Kudo, Toyoki, Hayashi, Takemasa, Wakamura, Kunihiko, Baba, Toshiyuki, Nemoto, Tetsuo, and Ishida, Fumio

Published
2022
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36. CLINICOPATHOLOGICAL FEATURES OF THE TIS, T１, T２ RECTAL CANCER.

Author

Iwasaki, Shunto, Kudo, Shin-ei, Kouyama, Yuta, Ichimasa, Katsuro, Misawa, Masashi, Miyachi, Hideyuki, Kondo, Kotaro, Sasabe, Keisuke, Semba, Shigenori, Morita, Yuriko, Shiina, Osamu, Miyata, Yuki, Takashina, Yuki, Mochizuki, Kenichi, Sato, Yuta, Ogawa, Yushi, Sakurai, Tatsuya, Maeda, Yasuharu, Hayashi, Takemasa, and Wakamura, Kunihiko

Published
2024
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39. The novel driver gene ASAP2 is a potential druggable target in pancreatic cancer.

Author

Fujii, Atsushi, Masuda, Takaaki, Iwata, Michio, Tobo, Taro, Wakiyama, Hiroaki, Koike, Kensuke, Kosai, Keisuke, Nakano, Takafumi, Kuramitsu, Shotaro, Kitagawa, Akihiro, Sato, Kuniaki, Kouyama, Yuta, Shimizu, Dai, Matsumoto, Yoshihiro, Utsunomiya, Tohru, Ohtsuka, Takao, Yamanishi, Yoshihiro, Nakamura, Masafumi, and Mimori, Koshi

Abstract

Targeting mutated oncogenes is an effective approach for treating cancer. The 4 main driver genes of pancreatic ductal adenocarcinoma (PDAC) are KRAS, TP53, CDKN2A, and SMAD4, collectively called the "big 4" of PDAC, however they remain challenging therapeutic targets. In this study, ArfGAP with SH3 domain, ankyrin repeat and PH domain 2 (ASAP2), one of the ArfGAP family, was identified as a novel driver gene in PDAC. Clinical analysis with PDAC datasets showed that ASAP2 was overexpressed in PDAC cells based on increased DNA copy numbers, and high ASAP2 expression contributed to a poor prognosis in PDAC. The biological roles of ASAP2 were investigated using ASAP2‐knockout PDAC cells generated with CRISPR‐Cas9 technology or transfected PDAC cells. In vitro and in vivo analyses showed that ASAP2 promoted tumor growth by facilitating cell cycle progression through phosphorylation of epidermal growth factor receptor (EGFR). A repositioned drug targeting the ASAP2 pathway was identified using a bioinformatics approach. The gene perturbation correlation method showed that niclosamide, an antiparasitic drug, suppressed PDAC growth by inhibition of ASAP2 expression. These data show that ASAP2 is a novel druggable driver gene that activates the EGFR signaling pathway. Furthermore, niclosamide was identified as a repositioned therapeutic agent for PDAC possibly targeting ASAP2. [ABSTRACT FROM AUTHOR]

Published
2021
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40. Impaired tumor immune response in metastatic tumors is a selective pressure for neutral evolution in CRC cases.

Author

Sakimura, Shotaro, Nagayama, Satoshi, Fukunaga, Mitsuko, Hu, Qingjiang, Kitagawa, Akihiro, Kobayashi, Yuta, Hasegawa, Takanori, Noda, Miwa, Kouyama, Yuta, Shimizu, Dai, Saito, Tomoko, Niida, Atsushi, Tsuruda, Yusuke, Otsu, Hajime, Matsumoto, Yoshihiro, Uchida, Hiroki, Masuda, Takaaki, Sugimachi, Keishi, Sasaki, Shin, and Yamada, Kazutaka

Subjects
GENETIC drift, IMMUNE response, METASTASIS, COLON cancer, NUCLEOTIDE sequence
Abstract

A Darwinian evolutionary shift occurs early in the neutral evolution of advanced colorectal carcinoma (CRC), and copy number aberrations (CNA) are essential in the transition from adenoma to carcinoma. In light of this primary evolution, we investigated the evolutionary principles of the genome that foster postoperative recurrence of CRC. CNA and neoantigens (NAG) were compared between early primary tumors with recurrence (CRCR) and early primary tumors without recurrence (precancerous and early; PCRC). We compared CNA, single nucleotide variance (SNV), RNA sequences, and T-cell receptor (TCR) repertoire between 9 primary and 10 metastatic sites from 10 CRCR cases. We found that NAG in primary sites were fewer in CRCR than in PCRC, while the arm level CNA were significantly higher in primary sites in CRCR than in PCRC. Further, a comparison of genomic aberrations of primary and metastatic conditions revealed no significant differences in CNA. The driver mutations in recurrence were the trunk of the evolutionary phylogenic tree from primary sites to recurrence sites. Notably, PD-1 and TIM3, T cell exhaustion-related molecules of the tumor immune response, were abundantly expressed in metastatic sites compared to primary sites along with the increased number of CD8 expressing cells. The postoperative recurrence-free survival period was only significantly associated with the NAG levels and TCR repertoire diversity in metastatic sites. Therefore, CNA with diminished NAG and diverse TCR repertoire in pre-metastatic sites may determine postoperative recurrence of CRC. Author summary: We found that copy number aberrations (CNAs) may be the most important selective pressure promoting cancer evolution from early-to-advanced tumors in primary sites. The diminished neoantigens (NAG) in cancer cells and the diverse TCR repertoire in cytotoxic T cells were crucial for the onset of postoperative recurrence during genomic neutral evolution, along with clonal CNA and several driver SNVs from primary to recurrent sites. Therefore, cancer metastasis could be prevented by activating CTL at the premetastatic sites before priming of the metastatic process. [ABSTRACT FROM AUTHOR]

Published
2021
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41. ID: 3526637 ARTIFICIAL INTELLIGENCE-ASSISTED DIAGNOSTIC SYSTEM FOR NARROW-BAND IMAGING FOR COLORECTAL LESIONS.

Author

Misawa, Masashi, Kudo, Shinei, Mori, Yuichi, Ishiyama, Misaki, Minegishi, Yosuke, Kouyama, Yuta, Ogawa, Yushi, Yasuharu, Maeda, Ichimasa, Katsuro, Nakamura, Hiroki, Ishigaki, Tomoyuki, Matsudaira, Shingo, Toyoshima, Naoya, Ogata, Noriyuki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Miyachi, Hideyuki, Baba, Toshiyuki, and Ishida, Fumio

Published
2021
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42. ID: 3522787 IMPORTANCE OF OBSERVING DEPRESSED-TYPE COLORECTAL NEOPLASMS IN MAGNIFYING ENDOSCOPY AND ENDCYTOSCOPY

Author

Kudo, Shinei, Takashina, Yuki, Matsudaira, Shingo, Mochizuki, Kenichi, Kouyama, Yuta, Ishigaki, Tomoyuki, Ichimasa, Katsuro, Takeda, Kenichi, Nakamura, Hiroki, Toyoshima, Naoya, Misawa, Masashi, Mori, Yuichi, Ogata, Noriyuki, Kudo, Toyoki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Miyachi, Hideyuki, Sawada, Naruhiko, Baba, Toshiyuki, and Ishida, Fumio

Published
2021
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43. ID: 3521050 HOW TO DIAGNOSE TUMOR DIFFERENTIATION AS A RISK FACTOR FOR LYMPH NODE METASTASIS IN T1 COLORECTAL CANCER?

Author

Ichimasa, Katsuro, Kudo, Shinei, Miyachi, Hideyuki, Kouyama, Yuta, Matsudaira, Shingo, Mochizuki, Kenichi, Takashina, Yuki, Nakamura, Hiroki, Ishigaki, Tomoyuki, Toyoshima, Naoya, Mori, Yuichi, Misawa, Masashi, Ogata, Noriyuki, Kudo, Toyoki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Baba, Toshiyuki, and Ishida, Fumio

Published
2021
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45. ID: 3522946 EC-V (ENDOCYTOSCOPIC VASCULAR) CLASSIFICATION IS USEFUL FOR NOT ONLY QUALITATIVE DIAGNOSIS BUT ALSO PATHOLOGICAL DIAGNOSIS

Author

Kudo, Shinei, Kaneshiro, Miyuki, Misawa, Masashi, Mochizuki, Kenichi, Nakamura, Hiroki, Kouyama, Yuta, Ishigaki, Tomoyuki, Ichimasa, Katsuro, Matsudaira, Shingo, Toyoshima, Naoya, Mori, Yuichi, Ogata, Noriyuki, Kudo, Toyoki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Miyachi, Hideyuki, Baba, Toshiyuki, and Ishida, Fumio

Published
2021
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46. Endocytoscopic intramucosal capillary network changes and crypt architecture abnormalities can predict relapse in patients with an ulcerative colitis Mayo endoscopic score of 1.

Author

Maeda, Yasuharu, Kudo, Shin‐ei, Ogata, Noriyuki, Mori, Yuichi, Misawa, Masashi, Homma, Mayumi, Nemoto, Tetsuo, Ogawa, Masataka, Sasanuma, Seiko, Sato, Yuta, Kataoka, Shinichi, Kouyama, Yuta, Sakurai, Tatsuya, Igarashi, Kenta, Ogawa, Yushi, Kato, Kazuki, Ichimasa, Katsuro, Nakamura, Hiroki, Kudo, Toyoki, and Hayashi, Takemasa

Subjects
DISEASE relapse, ULCERATIVE colitis, DISEASE remission, HUMAN abnormalities, INFLAMMATORY bowel diseases, CONFIDENCE intervals
Abstract

Objectives: Recent studies have suggested the necessity of therapeutic intervention for patients with ulcerative colitis at high risk of clinical relapse with a Mayo endoscopic score (MES) of 1. The aim of this retrospective cohort study was to demonstrate the impact of intramucosal capillary network changes and crypt architecture abnormalities to stratify the risk of relapse in patients with an MES of 1. Methods: All included patients had an MES of ≤1 and confirmed sustained clinical remission between October 2016 and April 2019. We classified patients with an MES of 1 as "intramucosal capillary/crypt (ICC)‐active" or "ICC‐inactive" using endocytoscopic evaluation. We followed patients until October 2019 or until relapse; the main outcome measure was the difference in clinical relapse‐free rates between ICC‐active and ICC‐inactive patients with an MES of 1. Results: We included 224 patients and analyzed data for 218 (82 ICC‐active and 54 ICC‐active with an MES of 1 and 82 with an MES of 0). During follow‐up, among the patients with an MES of 1, 30.5% (95% confidence interval 20.8–41.6; 25/82) of the patients relapsed in the ICC‐active group and 5.6% (95% confidence interval 1.2–15.4; 3/54) of the patients relapsed in the ICC‐inactive group. The ICC‐inactive group had a significantly higher clinical relapse‐free rate compared with the ICC‐active group (P < 0.01). Conclusions: In vivo intramucosal capillary network and crypt architecture patterns stratified the risk of clinical relapse in patients with an MES of 1 (UMIN 000032580; UMIN 000036359). [ABSTRACT FROM AUTHOR]

Published
2020
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47. Mo1644 THE CLINICOPATHOLOGICAL FEATURES OF DEPRESSED-TYPE COLORECTAL NEOPLASMS

Author

Kudo, Shinei, Mochida, Kentaro, Kouyama, Yuta, Matsudaira, Shingo, Ishigaki, Tomoyuki, Ichimasa, Katsuro, Takeda, Kenichi, Nakamura, Hiroki, Toyoshima, Naoya, Misawa, Masashi, Mori, Yuichi, Ogata, Noriyuki, Kudo, Toyoki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Miyachi, Hideyuki, Sawada, Naruhiko, Baba, Toshiyuki, and Ishida, Fumio

Published
2020
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48. Su1068 CLINICOPATHOLOGICAL FEATURES OF "SMALL" T1 COLORECTAL CANCERS

Author

Takashina, Yuki, Kudo, Shinei, Ichimasa, Katsuro, Miyachi, Hideyuki, Kouyama, Yuta, Mochizuki, Kenichi, Matsudaira, Shingo, Ishigaki, Tomoyuki, Toyoshima, Naoya, Oikawa, Hiromasa, Mori, Yuichi, Misawa, Masashi, Ogata, Noriyuki, Kudo, Toyoki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Sawada, Naruhiko, Baba, Toshiyuki, Ishida, Fumio, and Hamatani, Shigeharu

Published
2020
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49. Sa2023 USE OF ARTIFICIAL INTELLIGENCE TO PREVENT SEVERE PERFORATION DURING ENDOSCOPIC SUBMUCOSAL DISSECTION FOR COLORECTAL NEOPLASM: A PROOF-OF-CONCEPT STUDY

Author

Okumura, Taishi, Kudo, Shinei, Hayashi, Takemasa, Mori, Yuichi, Misawa, Masashi, Abe, Masahiro, Sato, Yuta, Kataoka, Shinichi, Kouyama, Yuta, Sakurai, Tatsuya, Yasuharu, Maeda, Ogawa, Yushi, Ichimasa, Katsuro, Nakamura, Hiroki, Ishigaki, Tomoyuki, Toyoshima, Naoya, Ogata, Noriyuki, Kudo, Toyoki, Hisayuki, Tomokazu, Wakamura, Kunihiko, Miyachi, Hideyuki, Baba, Toshiyuki, Ishida, Fumio, Oishi, Hitomi, Itoh, Hayato, and Mori, Kensaku

Published
2020
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50. Sa2029 EC-V (ENDOCYTOSCOPIC VASCULAR) PATTERN IS USEFUL FOR NOT ONLY QUALITATIVE DIAGNOSIS BUT ALSO PATHOLOGICAL DIAGNOSIS

Author

Kudo, Shinei, Akimoto, Yoshika, Kataoka, Shinichi, Kouyama, Yuta, Sakurai, Tatsuya, Ishigaki, Tomoyuki, Ichimasa, Katsuro, Matsudaira, Shingo, Nakamura, Hiroki, Toyoshima, Naoya, Mori, Yuichi, Ogata, Noriyuki, Kudo, Toyoki, Hisayuki, Tomokazu, Hayashi, Takemasa, Wakamura, Kunihiko, Sawada, Naruhiko, Baba, Toshiyuki, Ishida, Fumio, Misawa, Masashi, and Kudo, Shin-ei

Published
2020
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