Cancer Research and Treatment

Original Articles

Detection Ability of Quality of Life Changes and Responsiveness of the KOQUSS-40 and the EORTC QLQ-C30/STO22 in Patients Who Underwent Gastrectomy: A Prospective Comparative Study: Bang Wool Eom, Keun Won Ryu, Ji Yeong An, Yun-Suhk Suh, In Cho, Sung Geun Kim, Ji-Ho Park, Hoon Hur, Hyung-Ho Kim, Sang-Hoon Ahn, Sun-Hwi Hwang, Hong Man Yoon, Ki Bum Park, Hyoung-Il Kim, In-Gyu Kwon, Han-Kwang Yang, Byoung-Jo Suh, Sang-Ho Jeong, Tae-Han Kim, Oh Kyoung Kwon, Hye-Seong Ahn, Ji Yeon Park, Ki Young Yoon, Myoung Won Son, Seong-Ho Kong, Young-Gil Son, Geum Jong Song, Jong Hyuk Yun, Jung-Min Bae, Do Joong Park, Sol Lee, Jun-Young Yang, Kyung Won Seo, You-Jin Jang, So Hyun Kang, Joongyub Lee, Hyuk-Joon Lee, on behalf of KOrean QUality of life in Stomach cancer patients Study group (KOQUSS); Received November 20, 2024 Accepted February 28, 2025 Published online March 5, 2025; DOI: https://doi.org/10.4143/crt.2024.1104 [Accepted]

Abstract PDF: Purpose
The aim of this study is to compare the detection ability of quality of life (QoL) changes and responsiveness of the KOrean QUality of life in Stomach cancer patients Study group (KOQUSS)-40 and European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ).
Materials and Methods
A multicenter prospective observational study was conducted to evaluate QoL changes after various gastrectomies between January 2021 and April 2022. Participants were instructed to complete the KOQUSS-40 and EORTC QLQ-C30/STO22 preoperatively and at 1, 3, 6, and 12 months postoperatively. QoL changes over time and QoL responsiveness were assessed for each questionnaire.
Results
Data from 491 patients who underwent curative gastrectomy for gastric cancer at 22 institutions were analyzed. The summary scores of the KOQUSS-40 and EORTC QLQ-STO22 showed significant differences between the total and proximal gastrectomy groups (p=0.044 and 0.038, respectively), but no difference was observed for the EORTC QLQ-C30. Dysphagia on the KOQUSS-40 was significantly different between the total and proximal gastrectomy groups (p=0.044); however, dysphagia on the EORTC QLQ-STO22 did not differ. The responsiveness of the KOQUSS-40 was similar to that of the EORTC QLQ in patients who experienced ≥10% body weight loss, but approximately 10% less in patients receiving adjuvant chemotherapy than the EORTC QLQ.
Conclusion
KOQUSS-40 has several advantages over EORTC QLQ-C30/STO22 when comparing QoL between the total and proximal gastrectomy groups. The findings provide information for researchers investigating the QoL of patients who have undergone curative gastrectomy for gastric cancer.

602 View
30 Download

Gastrointestinal cancer

Development and Validation of Models to Predict Lymph Node Metastasis in Early Gastric Cancer Using Logistic Regression and Gradient Boosting Machine Methods: Hae Dong Lee, Kyung Han Nam, Cheol Min Shin, Hye Seung Lee, Young Hoon Chang, Hyuk Yoon, Young Soo Park, Nayoung Kim, Dong Ho Lee, Sang-Hoon Ahn, Hyung-Ho Kim; Cancer Res Treat. 2023;55(4):1240-1249. Published online March 21, 2023; DOI: https://doi.org/10.4143/crt.2022.1330

Abstract PDF Supplementary Material PubReader ePub

Purpose
To identify important features of lymph node metastasis (LNM) and develop a prediction model for early gastric cancer (EGC) using a gradient boosting machine (GBM) method.
Materials and Methods
The clinicopathologic data of 2556 patients with EGC who underwent gastrectomy were used as training set and the internal validation set (set 1) at a ratio of 8:2. Additionally, 548 patients with EGC who underwent endoscopic submucosal dissection (ESD) as the initial treatment were included in the external validation set (set 2). The GBM model was constructed, and its performance was compared with that of the Japanese guidelines.
Results
LNM was identified in 12.6% (321/2556) of the gastrectomy group (training set & set 1) and 4.3% (24/548) of the ESD group (set 2). In the GBM analysis, the top five features that most affected LNM were lymphovascular invasion, depth, differentiation, size, and location. The accuracy, sensitivity, specificity, and the area under the receiver operating characteristics of set 1 were 0.566, 0.922, 0.516, and 0.867, while those of set 2 were 0.810, 0.958, 0.803, and 0.944, respectively. When the sensitivity of GBM was adjusted to that of Japanese guidelines (beyond the expanded criteria in set 1 [0.922] and eCuraC-2 in set 2 [0.958]), the specificities of GBM in sets 1 and 2 were 0.516 (95% confidence interval, 0.502-0.523) and 0.803 (0.795-0.805), while those of the Japanese guidelines were 0.502 (0.488-0.509) and 0.788 (0.780-0.790), respectively.
Conclusion
The GBM model showed good performance comparable with the eCura system in predicting LNM risk in EGCs.

Citations

Citations to this article as recorded by

Establishment of a machine learning model for predicting splenic hilar lymph node metastasis
Kenichi Ishizu, Satoshi Takahashi, Nobuji Kouno, Ken Takasawa, Katsuji Takeda, Kota Matsui, Masashi Nishino, Tsutomu Hayashi, Yukinori Yamagata, Shigeyuki Matsui, Takaki Yoshikawa, Ryuji Hamamoto
npj Digital Medicine.2025;[Epub] CrossRef
The artificial intelligence revolution in gastric cancer management: clinical applications
Runze Li, Jingfan Li, Yuman Wang, Xiaoyu Liu, Weichao Xu, Runxue Sun, Binqing Xue, Xinqian Zhang, Yikun Ai, Yanru Du, Jianming Jiang
Cancer Cell International.2025;[Epub] CrossRef
Machine learning models for prediction of lymph node metastasis in patients with gastric cancer: a Chinese single-centre study with external validation in an Asian American population
Qian Li, Shangcheng Yan, Weiran Yang, Zhuan Du, Ming Cheng, Renwei Chen, Qiankun Shao, Yuan Tian, Mengchao Sheng, Wei Peng, Yongyou Wu
BMJ Open.2025; 15(3): e098476. CrossRef
Combining biomarkers to construct a novel predictive model for predicting preoperative lymph node metastasis in early gastric cancer
Yujian He, Xiaoli Xie, Bingxue Yang, Xiaoxu Jin, Zhijie Feng
Frontiers in Oncology.2025;[Epub] CrossRef
Intratumoural and peritumoural CT-based radiomics for diagnosing lepidic-predominant adenocarcinoma in patients with pure ground-glass nodules: a machine learning approach
Y. Zou, Q. Mao, Z. Zhao, X. Zhou, Y. Pan, Z. Zuo, W. Zhang
Clinical Radiology.2024; 79(2): e211. CrossRef
eCura and W-eCura: different scores, different populations, same goal
Rui Morais, Diogo Libanio, João Santos-Antunes
Gut.2024; 73(11): e29. CrossRef
A machine learning model for predicting the lymph node metastasis of early gastric cancer not meeting the endoscopic curability criteria
Minoru Kato, Yoshito Hayashi, Ryotaro Uema, Takashi Kanesaka, Shinjiro Yamaguchi, Akira Maekawa, Takuya Yamada, Masashi Yamamoto, Shinji Kitamura, Takuya Inoue, Shunsuke Yamamoto, Takashi Kizu, Risato Takeda, Hideharu Ogiyama, Katsumi Yamamoto, Kenji Aoi,
Gastric Cancer.2024; 27(5): 1069. CrossRef
The Application of Artificial Intelligence to Cancer Research: A Comprehensive Guide
Amin Zadeh Shirazi, Morteza Tofighi, Alireza Gharavi, Guillermo A. Gomez
Technology in Cancer Research & Treatment.2024;[Epub] CrossRef
Computed Tomography-Based Radiomics Analysis of Different Machine Learning Approaches for Differentiating Pulmonary Sarcomatoid Carcinoma and Pulmonary Inflammatory Pseudotumor
An-Lin Zhang, Yan-Mei Fu, Zhi-Yang He
Iranian Journal of Radiology.2024;[Epub] CrossRef
Screening of gastric cancer diagnostic biomarkers in the homologous recombination signaling pathway and assessment of their clinical and radiomic correlations
Ahao Wu, Tengcheng Hu, Chao Lai, Qingwen Zeng, Lianghua Luo, Xufeng Shu, Pan Huang, Zhonghao Wang, Zongfeng Feng, Yanyan Zhu, Yi Cao, Zhengrong Li
Cancer Medicine.2024;[Epub] CrossRef

5,594 View
225 Download
9 Web of Science
10 Crossref

PD-L1 Testing in Gastric Cancer by the Combined Positive Score of the 22C3 PharmDx and SP263 Assay with Clinically Relevant Cut-offs: Yujun Park, Jiwon Koh, Hee Young Na, Yoonjin Kwak, Keun-Wook Lee, Sang-Hoon Ahn, Do Joong Park, Hyung-Ho Kim, Hye Seung Lee; Cancer Res Treat. 2020;52(3):661-670. Published online January 10, 2020; DOI: https://doi.org/10.4143/crt.2019.718

Abstract PDF Supplementary Material PubReader ePub

Purpose
We provide a comparison between 22C3 pharmDx and SP263 assay, for evaluating programmed death ligand 1 (PD-L1) expression in advanced gastric cancer (GC) patients.
Materials and Methods
The PD-L1 immunohistochemistry by 22C3 pharmDx and SP263 assays was performed in the center of the tumor (CT) and invasive margin (IM) in 379 GC tissues using tissue microarrays and interpreted as combined positive score (CPS) and tumor proportion score (TPS). Of the total samples, 55 samples were independently reviewed by five pathologists.
Results
The two assays showed a high correlation in both the CPS and TPS. At a CPS ≥ 1 cut-off, 219 (57.8%) and 231 (60.9%) GCs were positive for PD-L1 with the 22C3 and SP263 assays, and at ≥ 10 cut-off, 37 (9.8%) and 36 (9.5%) GCs were positive, respectively. The overall percent agreement (OPA) was greater than 90% with CPS ≥ 1 and ≥ 10 cut-offs, and TPS ≥ 1% and ≥ 10% cut-offs. There was higher OPA between the two assays with a CPS cut-off ≥ 10 (99.2%) than ≥ 1 (94.7%). The percent agreement between the CT and IM was higher with a CPS cut-off ≥ 10 (92.9%) than ≥ 1 (77.6%). Patient with positive expression at CPS ≥ 5 cut-off had a significantly better outcomes in both assays. Interobserver variability among five pathologists was higher than the assay variability.
Conclusion
Two assays for PD-L1 expression in GC showed high agreement. These results provide guidance for selecting eligible patients with GC for pembrolizumab treatment.

Citations

Citations to this article as recorded by

PD-L1 as a Biomarker in Gastric Cancer Immunotherapy
Yunjoo Cho, Soomin Ahn, Kyoung-Mee Kim
Journal of Gastric Cancer.2025; 25(1): 177. CrossRef
CT radiomics-based intratumoral and intertumoral heterogeneity indicators for prognosis prediction in gastric cancer patients receiving neoadjuvant chemotherapy
Jiazheng Li, Zhenhui Li, Yinkui Wang, Yuzhuo Li, Jing Zhang, Ziyu Li, Lei Tang
European Radiology.2025;[Epub] CrossRef
Biomarkers in gastroesophageal cancer 2025: an updated consensus statement by the Spanish Society of Medical Oncology (SEOM) and the Spanish Society of Pathology (SEAP)
Maria Alsina Maqueda, Ana Teijo Quintáns, Miriam Cuatrecasas, Maria Jesús Fernández Aceñero, Ana Fernández Montes, Carlos Gómez Martín, Paula Jiménez Fonseca, Carolina Martínez Ciarpaglini, Fernando Rivera Herrero, Mar Iglesias Coma
Clinical and Translational Oncology.2025;[Epub] CrossRef
Treatment Selection for Patients with HER2-Negative Metastatic Gastric Cancer Expressing Claudin 18.2 and PD-L1
Yusuke Miyajima, Takeshi Kawakami
Cancers.2025; 17(7): 1120. CrossRef
Efficacy of the first-line immune checkpoint inhibitor plus chemotherapy for gastroesophageal cancer: A meta-analysis of phase III trials including unreported PD-L1 subgroups
Choong-kun Lee, Sejung Park, Yaeji Lee, Choa Yun, Moonki Hong, Chung Mo Nam, Hyun Cheol Chung, Sun Young Rha
Cancer Letters.2025; 623: 217718. CrossRef
Biomarker-Driven Approaches to Bone Metastases: From Molecular Mechanisms to Clinical Applications
Youssef Elshimy, Abdul Rahman Alkhatib, Bilal Atassi, Khalid S. Mohammad
Biomedicines.2025; 13(5): 1160. CrossRef
Neoadjuvant Immunotherapy in Gastroesophageal Cancer: A Promising Early Signal?
Mojun Zhu, Harry H. Yoon
Journal of Clinical Oncology.2024; 42(4): 373. CrossRef
Programmed death ligand-1 (PD-L1) clone 22C3 expression in resected colorectal cancer as companion diagnostics for immune checkpoint inhibitor therapy: A comparison study and inter-rater agreement evaluation across proposed cut-offs and predictive (TPS, C
Dordi Lea, Claudia Zaharia, Kjetil Søreide
Cancer Treatment and Research Communications.2024; 38: 100788. CrossRef
The relationship between high ratios of CD4/FOXP3 and CD8/CD163 and the improved survivability of metastatic triple-negative breast cancer patients: a multicenter cohort study
Jeffry Beta Tenggara, Andhika Rachman, Joedo Prihartono, Lisnawati Rachmadi, Sonar Soni Panigoro, Didik Setyo Heriyanto, Noorwati Sutandyo, Intan Russianna Nasution, Familia Bella Rahadiati, Ricci Steven, Rachelle Betsy, Samuel Juanputra, Aru Wisaksono Su
BMC Research Notes.2024;[Epub] CrossRef
Who Should Receive Immunotherapy for Advanced Gastroesophageal Cancer?
Suhaib Khateeb, Ludimila Cavalcante, Noor Alnairat, Meghana Singh, Ibrahim Halil Sahin, Azhar Saeed, Anwaar Saeed
Current Treatment Options in Oncology.2024; 25(4): 496. CrossRef
Evaluation of PD-L1 Expression in Colorectal Carcinomas by Comparing Scoring Methods and Their Significance in Relation to Clinicopathologic Parameters
Mirela Frančina, Mislav Mikuš, Marin Mamić, Tihomir Jovanović, Mario Ćorić, Božica Lovrić, Ivan Vukoja, Goran Zukanović, Kristijan Matković, Jasmina Rajc, Ferdinand Slišurić, Mateja Jurić-Marelja, Goran Augustin, Ilijan Tomaš
Diagnostics.2024; 14(10): 1007. CrossRef
The tumor immune composition of mismatch repair deficient and Epstein-Barr virus-positive gastric cancer: A systematic review
J. Bos, T.S. Groen-van Schooten, C.P. Brugman, F.S. Jamaludin, H.W.M. van Laarhoven, S. Derks
Cancer Treatment Reviews.2024; 127: 102737. CrossRef
Discordant PD-L1 results between 28–8 and 22C3 assays are associated with outcomes of gastric cancer patients treated with nivolumab plus chemotherapy
Hyung-Don Kim, Jinho Shin, In Hye Song, Jaewon Hyung, Hyungeun Lee, Min-Hee Ryu, Young Soo Park
Gastric Cancer.2024; 27(4): 819. CrossRef
Claudin-18 status and its correlation with HER2 and PD-L1 expression in gastric cancer with peritoneal dissemination
Haruki Ogawa, Hiroyuki Abe, Koichi Yagi, Yasuyuki Seto, Tetsuo Ushiku
Gastric Cancer.2024; 27(4): 802. CrossRef
Interpretation of PD-L1 expression in gastric cancer: summary of a consensus meeting of Korean gastrointestinal pathologists
Soomin Ahn, Yoonjin Kwak, Gui Young Kwon, Kyoung-Mee Kim, Moonsik Kim, Hyunki Kim, Young Soo Park, Hyeon Jeong Oh, Kyoungyul Lee, Sung Hak Lee, Hye Seung Lee
Journal of Pathology and Translational Medicine.2024; 58(3): 103. CrossRef
PD-L1 Immunohistochemistry in Gastric Cancer: Comparison of Combined Positive Score and Tumor Area Positivity Across 28-8, 22C3, and SP263 Assays
Samuel J. Klempner, Eric S. Cowden, Samuel L. Cytryn, Matteo Fassan, Hisato Kawakami, Hideaki Shimada, Laura H. Tang, Daniel-Christoph Wagner, Yasushi Yatabe, Alexander Savchenko, Jennifer Salcius, Dorhyun Johng, Jing Chen, Giuliana Montenegro, Markus Moe
JCO Precision Oncology.2024;[Epub] CrossRef
PD-L1 expression in squamous cervical carcinomas of Mozambican women living with or without HIV
Lucília Lovane, Satish Tulsidás, Carla Carrilho, Christina Karlsson
Scientific Reports.2024;[Epub] CrossRef
First-line immune checkpoint inhibitors in low programmed death-ligand 1-expressing population
Feiyang Zhang, Guoming Chen, Yixin Yin, Xiaojiang Chen, Runcong Nie, Yingbo Chen
Frontiers in Pharmacology.2024;[Epub] CrossRef
Concordance of PD-L1 status in primary gastroesophageal adenocarcinoma and matched peritoneal metastases: a single institution study
V. Massa, F. Signorini, F. Salani, M.E. Filice, G. Grelli, P. Lippolis, P. Faviana, V. Genovesi, S. Santi, C. Vivaldi, S. Cesario, A. Bertolucci, C. Cremolini, V. Nardini, G. Masi, C. Ugolini, L. Fornaro
ESMO Gastrointestinal Oncology.2024; 5: 100089. CrossRef
A Phase 1a/1b Dose Escalation/Expansion Study of the Anti-PD-1 Monoclonal Antibody Nofazinlimab in Chinese Patients with Solid Tumors or Lymphoma
Jifang Gong, Ye Guo, Yanqiao Zhang, Yi Ba, Tong Chen, Wei Li, Caicun Zhou, Mengzhao Wang, Haiyan Yang, Yuhong Zhou, Qiqing Cai, Ziping Wang, Gang Huang, Wei Zhang, Rila Su, Zhongheng Cai, Zenglian Yue, Jinzhou Dou, Peiqi Li, Rachel Wu, Archie N. Tse, Lin
Targeted Oncology.2024; 19(5): 723. CrossRef
Immune checkpoint inhibitors in advanced gastroesophageal adenocarcinoma: a series of patient-level meta-analyses in different programmed death-ligand 1 subgroups
A.G. Leone, A.S. Mai, K.Y. Fong, D.W.T. Yap, K. Kato, E. Smyth, M. Moehler, J.T.C. Seong, R. Sundar, J.J. Zhao, F. Pietrantonio
ESMO Open.2024; 9(11): 103962. CrossRef
HIPEC for Metastatic Gastric Cancer: Moving the Needle Towards 3-Year Survival
Neal Bhutiani, Y. David Seo, Kristen A. Robinson, Michael G. White, Naruhiko Ikoma, Paul F. Mansfield, Jenny J. Li, Mariela Blum Murphy, Jaffer A. Ajani, Brian D. Badgwell
European Journal of Surgical Oncology.2024; : 108790. CrossRef
Biomarkers for Predicting Response to Personalized Immunotherapy in Gastric Cancer
Moonsik Kim, Ji Yun Jeong, An Na Seo
Diagnostics.2023; 13(17): 2782. CrossRef
Development of an automated combined positive score prediction pipeline using artificial intelligence on multiplexed immunofluorescence images
Abhishek Vahadane, Shreya Sharma, Devraj Mandal, Madan Dabbeeru, Josephine Jakthong, Miguel Garcia-Guzman, Shantanu Majumdar, Chung-Wein Lee
Computers in Biology and Medicine.2023; 152: 106337. CrossRef
CT-based delta radiomics in predicting the prognosis of stage IV gastric cancer to immune checkpoint inhibitors
Jiazheng Li, Zifan Chen, Yang Chen, Jie Zhao, Meng He, Xiaoting Li, Li Zhang, Bin Dong, Xiaotian Zhang, Lei Tang, Lin Shen
Frontiers in Oncology.2023;[Epub] CrossRef
Efficacy of PD-1/PD-L1 inhibitors in gastric or gastro-oesophageal junction cancer based on clinical characteristics: a meta-analysis
Gengwei Huo, Wenjie Liu, Peng Chen
BMC Cancer.2023;[Epub] CrossRef
Clinical relevance of PD-1 positive CD8 T-cells in gastric cancer
Joan Choo, Ley Fang Kua, Mu Yar Soe, Bernadette Reyna Asuncion, Benjamin Kye Jyn Tan, Chong Boon Teo, Ryan Yong Kiat Tay, Jimmy So, Asim Shabbir, Kim Guowei, Hon Lyn Tan, Gloria Chan, Haoran Ma, Gokula Krishnan Ramachandran, Jeffrey H. Y. Lum, Cheng Ean C
Gastric Cancer.2023; 26(3): 393. CrossRef
Genetic and immune microenvironment characterization of HER2‐positive gastric cancer: Their association with response to trastuzumab‐based treatment
Hyun Jung Kwon, Yujun Park, Soo Kyung Nam, Enoch Kang, Ka‐Kyung Kim, Inhae Jeong, Yoonjin Kwak, Jeesun Yoon, Tae‐Yong Kim, Keun‐Wook Lee, Do‐Youn Oh, Seock‐Ah Im, Seong‐Ho Kong, Do Joong Park, Hyuk‐Joon Lee, Hyung‐Ho Kim, Han‐Kwang Yang, Hye Seung Lee
Cancer Medicine.2023; 12(9): 10371. CrossRef
High Interobserver Variability Among Pathologists Using Combined Positive Score to Evaluate PD-L1 Expression in Gastric, Gastroesophageal Junction, and Esophageal Adenocarcinoma
Marie E. Robert, Josef Rüschoff, Bharat Jasani, Rondell P. Graham, Sunil S. Badve, Manuel Rodriguez-Justo, Liudmila L. Kodach, Amitabh Srivastava, Hanlin L. Wang, Laura H. Tang, Giancarlo Troncone, Federico Rojo, Benjamin J. Van Treeck, James Pratt, Iryna
Modern Pathology.2023; 36(5): 100154. CrossRef
Heterogeneous distribution pattern of CD3+ tumor-infiltrated lymphocytes (TILs) and high combined positive score (CPS) favored the prognosis of resected early stage small-cell lung cancer
Liang Zhu, Guoping Cheng, Meijuan Wu, Ming Chen, Ying Jin
Translational Oncology.2023; 34: 101697. CrossRef
The Role of Immunotherapy in Esophageal and Gastric Cancer
Hans Dedecker, Laure-Anne Teuwen, Timon Vandamme, Andreas Domen, Hans Prenen
Clinical Colorectal Cancer.2023; 22(2): 175. CrossRef
Tissue- and liquid biopsy-based biomarkers for immunotherapy in breast cancer
Luca Licata, Marco Mariani, Federico Rossari, Giulia Viale, Giulia Notini, Matteo Maria Naldini, Carlo Bosi, Marta Piras, Matteo Dugo, Giampaolo Bianchini
The Breast.2023; 69: 330. CrossRef
PD‐L1andHLA‐class I expression status and their therapeutic implication in oesophageal small‐cell carcinoma
Satoshi Yamashita, Hiroyuki Abe, Hiroharu Yamashita, Koichi Yagi, Yasuyuki Seto, Tetsuo Ushiku
Histopathology.2023; 83(2): 264. CrossRef
Programmed death-ligand 1 expression and overall survival in Thai patients with gastric cancer
Taned Chitapanarux, Pawut Gumrai, Sarawut Kongkarnka, Komson Wannasai, Nirush Lertprasertsuke
Scientific Reports.2023;[Epub] CrossRef
Efficacy of Pd-1/Pd-L1 Inhibitors in Advanced Gastroesophageal Cancer Based on Characteristics: A Meta-Analysis
Wenjie Liu, Gengwei Huo, Peng Chen
Immunotherapy.2023; 15(10): 751. CrossRef
Immunology and immunotherapy in gastric cancer
Xiaqing Xu, Jiaxing Chen, Wenxing Li, Chenlu Feng, Qian Liu, Wenfang Gao, Meng He
Clinical and Experimental Medicine.2023; 23(7): 3189. CrossRef
Targeted Therapies and Developing Precision Medicine in Gastric Cancer
Rille Pihlak, Caroline Fong, Naureen Starling
Cancers.2023; 15(12): 3248. CrossRef
Programmed death ligand 1 (PD-L1) expression in gastric cancer: literature review
T. N. Sotnikova, N. V. Danilova, P. G. Malkov, T. V. Polushkina
Advances in Molecular Oncology.2023; 10(2): 70. CrossRef
Novel Biomarkers of Gastric Cancer: Current Research and Future Perspectives
Yasushi Sato, Koichi Okamoto, Yutaka Kawano, Akinari Kasai, Tomoyuki Kawaguchi, Tamotsu Sagawa, Masahiro Sogabe, Hiroshi Miyamoto, Tetsuji Takayama
Journal of Clinical Medicine.2023; 12(14): 4646. CrossRef
Programmed death-ligand 1 (PD-L1) expression in primary gastric adenocarcinoma and matched metastases
Drolaiz H. W. Liu, Heike I. Grabsch, Beat Gloor, Rupert Langer, Bastian Dislich
Journal of Cancer Research and Clinical Oncology.2023; 149(14): 13345. CrossRef
Chemoimmunotherapy for esophageal squamous cell carcinoma—Summary and discussion of recent clinical trials
Zhen Zhang, Jiaqian Huang, Yuhong Xu, Huiyan Luo
MedComm – Future Medicine.2023;[Epub] CrossRef
Next generation immuno-oncology biomarkers in gastrointestinal cancer: what does the future hold?
Hassan Abushukair, Obada Ababneh, Ayah Al-Bzour, Ibrahim Halil Sahin, Anwaar Saeed
Expert Review of Molecular Diagnostics.2023; 23(10): 863. CrossRef
Impact of programmed death‐ligand 1 (PD‐L1) positivity on clinical and molecular features of patients with metastatic gastric cancer
Minkyue Shin, Soomin Ahn, Jaeyun Jung, Sujin Hyung, Kyoung‐Mee Kim, Seung Tae Kim, Won Ki Kang, Jeeyun Lee
Cancer Medicine.2023; 12(18): 18633. CrossRef
Regulatory T cells in gastric cancer: Key controllers from pathogenesis to therapy
Ion Negura, Mariana Pavel-Tanasa, Mihai Danciu
Cancer Treatment Reviews.2023; 120: 102629. CrossRef
The prognostic value of a combined immune score in tumor and immune cells assessed by immunohistochemistry in triple-negative breast cancer
Ji Eun Choi, Jae Seok Lee, Min-Sun Jin, Ilias P. Nikas, Kwangsoo Kim, Sunah Yang, Soo Young Park, Jiwon Koh, Sohyeon Yang, Seock-Ah Im, Han Suk Ryu
Breast Cancer Research.2023;[Epub] CrossRef
Comparison of SP142 and 22C3 Immunohistochemistry PD-L1 Assays for Clinical Efficacy of Atezolizumab in Non–Small Cell Lung Cancer: Results From the Randomized OAK Trial
Shirish Gadgeel, Fred R. Hirsch, Keith Kerr, Fabrice Barlesi, Keunchil Park, Achim Rittmeyer, Wei Zou, Namrata Bhatia, Hartmut Koeppen, Sarah M. Paul, David Shames, Jing Yi, Christina Matheny, Marcus Ballinger, Mark McCleland, David R. Gandara
Clinical Lung Cancer.2022; 23(1): 21. CrossRef
Adrenal Nodules Detected at Staging CT in Patients with Resectable Gastric Cancers Have a Low Incidence of Malignancy
Hae Young Kim, Won Chang, Yoon Jin Lee, Ji Hoon Park, Jungheum Cho, Hee Young Na, Hyungwoo Ahn, Sung Il Hwang, Hak Jong Lee, Young Hoon Kim, Kyoung Ho Lee
Radiology.2022; 302(1): 129. CrossRef
Immunohistochemistry as predictive and prognostic markers for gastrointestinal malignancies
Matthew W. Rosenbaum, Raul S. Gonzalez
Seminars in Diagnostic Pathology.2022; 39(1): 48. CrossRef
Histopathology of Gastrointestinal Immune-related Adverse Events
M. Lisa Zhang, Vikram Deshpande
American Journal of Surgical Pathology.2022; 46(1): e15. CrossRef
Safety and efficacy of HER2 blockade by trastuzumab-based chemotherapy-containing combination strategies in HER2+ gastroesophageal adenocarcinoma
D.V.T. Catenacci, H.C. Chung, L. Shen, M. Moehler, H.H. Yoon, M.K. Rosales, Y.-K. Kang
ESMO Open.2022; 7(1): 100360. CrossRef
PD-L1 and HER2 expression in gastric adenocarcinoma and their prognostic significance
Jie Lian, Guanjun Zhang, Yun Zhang, Heng Liu, Jiaojiao Zhang, Pengfei Nan, Wei Tian
Digestive and Liver Disease.2022; 54(10): 1419. CrossRef
Tissue miR-200c-3p and circulating miR-1290 as potential prognostic biomarkers for colorectal cancer
Enoch Kang, Sung Cheol Jung, Soo Kyung Nam, Yujun Park, Soo Hyun Seo, Kyoung Un Park, Heung-Kwon Oh, Duck-Woo Kim, Sung-Bum Kang, Hye Seung Lee
Scientific Reports.2022;[Epub] CrossRef
Gastric Cancer: Mechanisms, Biomarkers, and Therapeutic Approaches
Sangjoon Choi, Sujin Park, Hyunjin Kim, So Young Kang, Soomin Ahn, Kyoung-Mee Kim
Biomedicines.2022; 10(3): 543. CrossRef
Immunotherapy use in oesophagogastric cancers—a review of the literature
Annabel Smith, Amitesh Roy, Christos S. Karapetis, Vy Broadbridge, Timothy Price
British Journal of Cancer.2022; 127(1): 21. CrossRef
Interspatial Distribution of Tumor and Immune Cells in Correlation with PD-L1 in Molecular Subtypes of Gastric Cancers
Bastian Dislich, Kirsten D. Mertz, Beat Gloor, Rupert Langer
Cancers.2022; 14(7): 1736. CrossRef
Immunotherapy in Gastro-Oesophageal Cancer: Current Practice and the Future of Personalised Therapy
Mary E. Booth, Elizabeth C. Smyth
BioDrugs.2022; 36(4): 473. CrossRef
Anlotinib Combined with Toripalimab as Second-Line Therapy for Advanced, Relapsed Gastric or Gastroesophageal Junction Carcinoma
Man Jiang, Chuantao Zhang, Yabin Hu, Tianjun Li, Guangjie Yang, Guanqun Wang, Jingjuan Zhu, Changfeng Shao, Helei Hou, Na Zhou, Kewei Liu, Xiaochun Zhang
The Oncologist.2022; 27(11): e856. CrossRef
Abdominal Computed Tomography Enhanced Image Features under an Automatic Segmentation Algorithm in Identification of Gastric Cancer and Gastric Lymphoma
Lihua Zhou, Hao Hu, Lei Zhou, Yi Zhou, Ahmed Faeq Hussein
Computational and Mathematical Methods in Medicine.2022; 2022: 1. CrossRef
Margetuximab with retifanlimab as first-line therapy in HER2+/PD-L1+ unresectable or metastatic gastroesophageal adenocarcinoma: MAHOGANY cohort A
D.V.T. Catenacci, Y.-K. Kang, H.H. Yoon, B.Y. Shim, S.T. Kim, D.-Y. Oh, A.I. Spira, S.V. Ulahannan, E.J. Avery, P.M. Boland, J. Chao, H.C. Chung, F. Gardner, S.J. Klempner, K.-W. Lee, S.C. Oh, J. Peguero, M.B. Sonbol, L. Shen, M. Moehler, J. Sun, D. Li, M
ESMO Open.2022; 7(5): 100563. CrossRef
Advances in molecular biomarkers research and clinical application progress for gastric cancer immunotherapy
Hongzhen Cai, Man Li, Ruiyi Deng, Mopei Wang, Yanyan Shi
Biomarker Research.2022;[Epub] CrossRef
Immune Checkpoint Inhibitors for Gastrointestinal Malignancies: An Update
Kathryn DeCarli, Jonathan Strosberg, Khaldoun Almhanna
Cancers.2022; 14(17): 4201. CrossRef
Immunotherapy for Gastroesophageal Tumors: Is there still Hope for Efficacy?
Hannah Christina Puhr, Aysegul Ilhan-Mutlu
Current Cancer Drug Targets.2022; 22(8): 651. CrossRef
The seen and the unseen: Molecular classification and image based-analysis of gastrointestinal cancers
Corina-Elena Minciuna, Mihai Tanase, Teodora Ecaterina Manuc, Stefan Tudor, Vlad Herlea, Mihnea P. Dragomir, George A. Calin, Catalin Vasilescu
Computational and Structural Biotechnology Journal.2022; 20: 5065. CrossRef
Ornithine aminotransferase and carbamoyl phosphate synthetase 1 involved in ammonia metabolism serve as novel targets for early stages of gastric cancer
Zhen Jiang, Chen Wei, Yaomin Luo, Yang Xiao, Li Wang, Wubin Guo, Xiaoxia Yuan
Journal of Clinical Laboratory Analysis.2022;[Epub] CrossRef
Indirect Clinical Validation of a Programmed Death-Ligand 1 Laboratory-Developed Test for Gastric/Gastroesophageal Junction Adenocarcinoma with 22C3 Antibody Concentrate
Ji Min Kim, Binnari Kim, Eunji Kim, Minsun Jang, Jun Hun Cho, Hye Seung Lee, Yoonjin Kwak, Lingkang Huang, Radha Krishnan, Sally Y. Bai, Mounia Mounawar, Kyoung-Mee Kim
Molecular Diagnosis & Therapy.2022; 26(6): 679. CrossRef
High interobserver and intraobserver reproducibility among pathologists assessing PD‐L1 CPS across multiple indications
Shanthy Nuti, Yiwei Zhang, Nabila Zerrouki, Charlotte Roach, Gudrun Bänfer, George L Kumar, Edward Manna, Rolf Diezko, Kristopher Kersch, Josef Rüschoff, Bharat Jasani
Histopathology.2022; 81(6): 732. CrossRef
Validation of E1L3N antibody for PD-L1 detection and prediction of pembrolizumab response in non-small-cell lung cancer
Lianxi Song, Liang Zeng, Huan Yan, Qinqin Xu, Qing Xia, Jian Lei, Xiaoyan Chen, Xiaoping Hu, Zhan Wang, Hong Liu, Nong Yang, Yongchang Zhang
Communications Medicine.2022;[Epub] CrossRef
Loss of SATB2 expression correlates with cytokeratin 7 and PD-L1 tumor cell positivity and aggressiveness in colorectal cancer
Jan Hrudka, Radoslav Matěj, Andrej Nikov, Igor Tomyak, Hana Fišerová, Karolína Jelínková, Petr Waldauf
Scientific Reports.2022;[Epub] CrossRef
Programmed cell death protein 1/programmed death ligand 1 but not HER2 is a potential therapeutic target in gastric neuroendocrine carcinoma
Satoshi Yamashita, Hiroyuki Abe, Akiko Kunita, Hiroharu Yamashita, Yasuyuki Seto, Tetsuo Ushiku
Histopathology.2021; 78(3): 381. CrossRef
MAHOGANY: Margetuximab Combination in HER2+ Unresectable/metastatic Gastric/gastroesophageal Junction Adenocarcinoma
Daniel V T Catenacci, Minori Rosales, Hyun Cheol Chung, Harry H Yoon, Lin Shen, Markus Moehler, Yoon-Koo Kang
Future Oncology.2021; 17(10): 1155. CrossRef
PD-L1 expression in paired biopsies and surgical specimens in gastric adenocarcinoma: A digital image analysis study
You Jeong Heo, Binnari Kim, Hyunjin Kim, Soi Kim, Min Sun Jang, Kyoung-Mee Kim
Pathology - Research and Practice.2021; 218: 153338. CrossRef
Targeting Oncoimmune Drivers of Cancer Metastasis
Chie Kudo-Saito, Yukinori Ozaki, Hiroshi Imazeki, Hideyuki Hayashi, Jun Masuda, Hiroki Ozawa, Yamato Ogiwara
Cancers.2021; 13(3): 554. CrossRef
PD-L1 as a biomarker of response to immune-checkpoint inhibitors
Deborah Blythe Doroshow, Sheena Bhalla, Mary Beth Beasley, Lynette M. Sholl, Keith M. Kerr, Sacha Gnjatic, Ignacio I. Wistuba, David L. Rimm, Ming Sound Tsao, Fred R. Hirsch
Nature Reviews Clinical Oncology.2021; 18(6): 345. CrossRef
Cancer Immunotherapy Update: FDA-Approved Checkpoint Inhibitors and Companion Diagnostics
Julianne D. Twomey, Baolin Zhang
The AAPS Journal.2021;[Epub] CrossRef
High Expression of PD-L1 Is Associated with Better Survival in Pancreatic/Periampullary Cancers and Correlates with Epithelial to Mesenchymal Transition
Nishant Thakur, Kwang Yeol Paik, Gyoyeon Hwang, Yosep Chong
Diagnostics.2021; 11(4): 597. CrossRef
Prädiktive Diagnostik für Checkpoint-Inhibitoren
Hans-Ulrich Schildhaus, Wilko Weichert
Der Pathologe.2021; 42(4): 380. CrossRef
PD-1/PD-L1 in Cancer: Pathophysiological, Diagnostic and Therapeutic Aspects
Enrico Munari, Francesca R. Mariotti, Linda Quatrini, Pietro Bertoglio, Nicola Tumino, Paola Vacca, Albino Eccher, Francesco Ciompi, Matteo Brunelli, Guido Martignoni, Giuseppe Bogina, Lorenzo Moretta
International Journal of Molecular Sciences.2021; 22(10): 5123. CrossRef
PD-L1 expression in gastric cancer: interchangeability of 22C3 and 28-8 pharmDx assays for responses to immunotherapy
Soomin Ahn, Kyoung-Mee Kim
Modern Pathology.2021; 34(9): 1719. CrossRef
PD-L1 Expression Harmonization in Gastric Cancer Using 22C3 PharmDx and SP263 Assays
Tamara Z. Dabbagh, Maher A. Sughayer
Applied Immunohistochemistry & Molecular Morphology.2021; 29(6): 462. CrossRef
Expression of the immune checkpoint receptors PD-1, LAG3, and TIM3 in the immune context of stage II and III gastric cancer by using single and chromogenic multiplex immunohistochemistry
Yujun Park, An Na Seo, Jiwon Koh, Soo Kyoung Nam, Yoonjin Kwak, Sang-Hoon Ahn, Do Joong Park, Hyung-Ho Kim, Hye Seung Lee
OncoImmunology.2021;[Epub] CrossRef
Appropriate PD-L1 Cutoff Value for Gastric Cancer Immunotherapy: A Systematic Review and Meta-Analysis
Tong Xie, Zhening Zhang, Xiaotian Zhang, Changsong Qi, Lin Shen, Zhi Peng
Frontiers in Oncology.2021;[Epub] CrossRef
Prediction of TP53 mutations by p53 immunohistochemistry and their prognostic significance in gastric cancer
Hye Jung Hwang, Soo Kyung Nam, Hyunjin Park, Yujun Park, Jiwon Koh, Hee Young Na, Yoonjin Kwak, Woo Ho Kim, Hye Seung Lee
Journal of Pathology and Translational Medicine.2020; 54(5): 378. CrossRef

18,563 View
729 Download
80 Web of Science
82 Crossref

S-1–Induced Lacrimal Drainage Obstruction and Its Association with Ingredients/Metabolites of S-1 in Tears and Plasma: A Prospective Multi-institutional Study: Namju Kim, Jin Won Kim, Je-Hyun Baek, Jin-Soo Kim, Ho-Kyung Choung, Tae-Yong Kim, Kyung-Hun Lee, Yung-Jue Bang, Sang In Khwarg, Sang-Hoon Ahn, Do Joong Park, Hyung-Ho Kim, Jae-Yong Chung, Soyeon Ahn, Keun-Wook Lee; Cancer Res Treat. 2018;50(1):30-39. Published online February 27, 2017; DOI: https://doi.org/10.4143/crt.2016.569

Abstract PDF Supplementary Material PubReader ePub

Purpose
This prospective study was conducted to determine the incidence of lacrimal drainage obstruction (LDO) during S-1 chemotherapy and evaluate the association between the development of LDO and the concentrations of ingredients/metabolites of S-1 in tears and plasma.
Materials and Methods
A total of 145 patients with gastric cancer who received adjuvant S-1 therapy were enrolled. Ophthalmologic examinations were performed regularly during S-1 chemotherapy. Concentrations of tegafur, 5-chloro-2,4-dihydroxypyridine (CDHP), and 5-fluorouracil at steady-state trough level were measured in both tears and plasma.
Results
Fifty-three patients (37%) developed LDO. The median time to the onset of LDO was 10.9 weeks, and LDO developed most frequently in the nasolacrimal duct. Univariable analyses revealed that an older age (≥ 70 years), creatinine clearance rate (Ccr) < 80 mL/min, 5-fluorouracil concentration in plasma ≥ 22.3 ng/mL (median), CDHP concentration in plasma ≥ 42.0 ng/mL (median), and tegafur concentration in tears ≥ 479.2 ng/mL (median) were related to increased development of LDO. Multivariable analysis indicated that a high plasma 5-fluorouracil concentration was predictive of increased development of LDO (hazard ratio, 2.02; p=0.040), along with older age and decreased Ccr. Patients with LDO also developed S-1–related non-hematologic toxicity more frequently than those without LDO (p=0.016).
Conclusion
LDO is a frequent adverse event during S-1 chemotherapy. An older age, decreased Ccr, and high plasma 5-fluorouracil concentration were found to be independent risk factors for LDO. The high incidence of LDO warrants regular ophthalmologic examination and early intervention in patients receiving S-1 therapy.

Citations

Citations to this article as recorded by

Ocular complication induced by anticancer drug S-1: association with drug concentrations in tears
Masakazu Yamada, Tomoyuki Kamao, Atsushi Shiraishi, Jo Sakai, Yuichi Ohashi, Masashi Mimura, Yoshitsugu Inoue, Kazuyoshi Ohtomo, Tai-ichiro Chikama, Chika Miyazaki, Yuka Hosotani
Japanese Journal of Ophthalmology.2025;[Epub] CrossRef
Influenza A Virus Utilizes the Nasolacrimal System to Establish Respiratory Infection after Ocular Exposure in the Swine Model
Shubin Li, Xuebin Peng, MinJie Wang, Wenqian Wang, Yuye Liu, Qian Yang, Makoto Ozawa
Transboundary and Emerging Diseases.2024;[Epub] CrossRef
Nasolacrimal Duct Obstruction in the Patients Receiving Treatment for Cancer
Vasily D. Yartsev, Eugenia L. Atkova
International Ophthalmology Clinics.2023; 63(3): 137. CrossRef
Obstrução lacrimal pós-tratamento oncológico: revisão de literatura
Camilla Duarte Silva, Fabricio Lopes da Fonseca, Juliana Mika Kato, Suzana Matayoshi
Revista Brasileira de Oftalmologia.2022;[Epub] CrossRef
A Case of Nasolacrimal Duct Obstruction During S-1 Treatment For Breast Cancer
Hisataka Ominato, Michihisa Kono, Hidekiyo Yamaki, Takumi Kumai, Miki Takahara, Akihiro Katada, Tatsuya Hayashi
Practica Oto-Rhino-Laryngologica.2022; 115(6): 503. CrossRef
Corneal nerve changes following treatment with neurotoxic anticancer drugs
Jeremy Chung Bo Chiang, David Goldstein, Susanna B. Park, Arun V. Krishnan, Maria Markoulli
The Ocular Surface.2021; 21: 221. CrossRef
The impact of anticancer drugs on the ocular surface
Jeremy Chung Bo Chiang, Ilyanoon Zahari, Maria Markoulli, Arun V. Krishnan, Susanna B. Park, Annalese Semmler, David Goldstein, Katie Edwards
The Ocular Surface.2020; 18(3): 403. CrossRef
Pharmacokinetics of S-1 monotherapy in plasma and in tears for gastric cancer patients
Hirofumi Yasui, Takeshi Kawakami, Hiroya Kashiwagi, Keita Mori, Katsuhiro Omae, Jun Kasai, Kunihiro Yoshisue, Masahiro Kawahira, Takahiro Tsushima, Nozomu Machida, Akira Fukutomi, Ken Yamaguchi
International Journal of Clinical Oncology.2019; 24(6): 660. CrossRef

11,053 View
413 Download
6 Web of Science
8 Crossref

First
Prev
Page of 1
Next
Last

Search