Review
Oncology
Yuzhou Zhu, Zechuan Jin, Yuran Qian, Yu Shen, Ziqiang Wang
Summary: This study confirmed the prognostic value of tumor-stroma ratio (TSR) for patients with rectal cancer (RC), showing that low TSR (stroma-rich) is associated with poorer survival outcomes.
FRONTIERS IN ONCOLOGY
(2021)
Article
Health Care Sciences & Services
Paulina Nastaly, Julia Smentoch, Marta Popeda, Emanuele Martini, Paolo Maiuri, Anna J. Zaczek, Marek Sowa, Marcin Matuszewski, Jolanta Szade, Leszek Kalinowski, Magdalena Niemira, Burkhard Brandt, Elke Eltze, Axel Semjonow, Natalia Bednarz-Knoll
Summary: The study shows that the TSR score of tumors is associated with the time to biochemical recurrence in PCa patients, with high TSR potentially playing a protective role. The automatic quantification of TSR based on EpCAM might improve prognostication in personalized medicine for PCa.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Review
Oncology
Jinlai Gao, Zhangguo Shen, Zaixing Deng, Lina Mei
Summary: Tumor-stroma ratio (TSR) is a promising prognostic indicator for colorectal cancer (CRC) patients, with low TSR associated with worse prognosis in terms of disease-free survival (DFS) and overall survival (OS). The study found significantly higher hazard ratios for patients with low TSR in stage II CRC, stage III CRC, and mixed stage CRC, suggesting a predictive relevance for poor outcomes in these patients.
FRONTIERS IN ONCOLOGY
(2021)
Article
Dentistry, Oral Surgery & Medicine
Zhengjun Shang, Jingjian Qiu, Erhui Jiang
Summary: This study confirms the prognostic value of TSR in oral squamous cell carcinoma (OSCC) and demonstrates the contribution of cancer-associated fibroblasts (CAFs)-stroma ratio (CSR) to the prognostic value of TSR.
Article
Oncology
Yinghao Meng, Hao Zhang, Qi Li, Fang Liu, Xu Fang, Jing Li, Jieyu Yu, Xiaochen Feng, Mengmeng Zhu, Na Li, Guodong Jing, Li Wang, Chao Ma, Jianping Lu, Yun Bian, Chengwei Shao
Summary: The study developed and validated a machine learning classifier based on MDCT for preoperative prediction of TSR in PDAC patients. The XGBoost classifier showed good discrimination in the training set and moderate discrimination in the validation set, indicating its potential value as a noninvasive tool for predicting TSR and optimizing risk stratification in PDAC patients.
FRONTIERS IN ONCOLOGY
(2021)
Review
Cell Biology
Tianyi Zhang, Yanxian Ren, Pengfei Yang, Jufang Wang, Heng Zhou
Summary: Pancreatic ductal adenocarcinoma (PDAC) is a deadly cancer with a high deposition of extracellular matrix (ECM) and poor prognosis. ECM proteins derived from tumor cells reduce the effectiveness of conventional cancer treatment and contribute to tumor progression and metastasis. Cancer-associated fibroblasts (CAFs) in the ECM are promising targets for novel anti-tumor interventions.
CELL DEATH & DISEASE
(2022)
Article
Oncology
Noorul Wahab, Michael Toss, Islam M. Miligy, Mostafa Jahanifar, Nehal M. Atallah, Wenqi Lu, Simon Graham, Mohsin Bilal, Abhir Bhalerao, Ayat G. Lashen, Shorouk Makhlouf, Asmaa Y. Ibrahim, David Snead, Fayyaz Minhas, Shan E. Ahmed Raza, Emad Rakha, Nasir Rajpoot
Summary: The study proposes an image-based prognostic marker for breast cancer that uses deep learning to objectively assess tumor heterogeneity. The marker demonstrates the ability to predict both patient survival and distant metastasis in early-stage breast cancer, with comparable accuracy to traditional manual assessment methods.
NPJ PRECISION ONCOLOGY
(2023)
Article
Pathology
Anna Jakab, Arpad V. Patai, Tamas Micsik
Summary: In patients with colorectal cancer, the tumor-stroma ratio (TSR) is a promising marker. The precise assessment of TSR is important and can be improved with the use of artificial intelligence-based digital image analysis systems. This study aims to validate a user-friendly software for TSR assessment, compare the prognostic value of TSR in different regions, and compare TSR with other markers. The results show that the software-assisted evaluation is a robust prognosticator that provides reliable prognostic information.
Article
Medicine, General & Internal
Maria Joao Amaral, Mariana Amaral, Joao Freitas, Rui Caetano Oliveira, Marco Serodio, Maria Augusta Cipriano, Jose Guilherme Tralhao
Summary: Pancreatic ductal adenocarcinoma (PDAC) has a dense stroma, which accounts for 80% of its volume. The amount of stroma may affect prognosis, but its specific impact remains uncertain. This study aimed to investigate prognostic factors for PDAC patients undergoing surgery, including the impact of tumor stroma area (TSA). A retrospective study was conducted with PDAC patients who underwent surgical resection. TSA was calculated using QuPath-0.2.3 software. Arterial hypertension, diabetes mellitus, and surgical complications Clavien-Dindo>IIIa were identified as independent risk factors for mortality in PDAC patients undergoing surgery. Regarding TSA, a larger TSA seemed to be associated with longer overall survival (OS) for all stages. In stage II patients, a larger TSA was significantly associated with R0 resection, while in stage III patients, a larger TSA was significantly associated with a lower histological grade, higher preoperative AP levels, and lower preoperative AST levels. Patients with PDAC undergoing surgical resection and having preoperative CA19.9 > 500 U/L and AST >= 100 U/L had a higher risk of recurrence, although tumor stroma may have a protective effect in these patients.
Article
Oncology
Dandan Yan, Xianli Ju, Bin Luo, Feng Guan, Huihua He, Honglin Yan, Jingping Yuan
Summary: The tumor-stroma ratio (TSR) is an independent predictor for 5-year disease-free survival (5-DFS) in breast cancer, with low TSR associated with worse outcomes. This prognostic value is observed in different molecular subtypes of breast cancer as well.
Article
Oncology
Dong Wang, Jia Luo, YiMing Tao
Summary: Based on in-depth research on the tumor microenvironment, the tumor stroma has been found to have a significant impact on malignant tumor behavior, and there is a relationship between PD-L1 and the tumor stroma. The tumor-stroma ratio (TSR) is considered as a novel prognostic factor in many cancers. This study aims to evaluate the clinical value of TSR and PD-L1 in hepatocellular carcinoma (HCC) patients.
Article
Medicine, General & Internal
Martina Kastrup Loft, Malene Roland Vils Pedersen, Jan Lindebjerg, Hans Bjarke Rahr, Soren Rafael Rafaelsen
Summary: This study aimed to evaluate the performance of endorectal ultrasound (ERUS), shear-wave elastography (SWE), and magnetic resonance imaging (MRI) in diagnosing complex rectal adenoma or early rectal cancer, and to investigate the correlations between SWE and stromal fraction (SF), as well as apparent diffusion coefficient (ADC) and SF. The results showed that both ERUS and MRI had high accuracy in classifying T categories, with ERUS being more accurate in classifying adenomas. SWE was able to differentiate adenomas from early carcinomas, and SF was correlated with both SWE and ADC.
Article
Biochemistry & Molecular Biology
Qingyuan Zheng, Zhengyu Jiang, Xinmiao Ni, Song Yang, Panpan Jiao, Jiejun Wu, Lin Xiong, Jingping Yuan, Jingsong Wang, Jun Jian, Lei Wang, Rui Yang, Zhiyuan Chen, Xiuheng Liu
Summary: A machine learning algorithm was developed to accurately quantify tumor-stroma ratio (TSR) in MIBC patients, and its prognostic significance in patients was demonstrated. This method can be applied in clinical practice and reduce the workload of pathologists.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Oncology
Gokce Askan, Ibrahim Halil Sahin, Joanne F. Chou, Aslihan Yavas, Marinela Capanu, Christine A. Iacobuzio-Donahue, Olca Basturk, Eileen M. O'Reilly
Summary: The study found that the expression of CD44 and ESA in PDAC patients is related to tumor stroma type, and tumor stroma may influence recurrence patterns, but there was no significant difference among subgroups in terms of RFS and OS.
Article
Oncology
Jin K. Kim, Michael R. Marco, Seo-Hyun Choi, Xuan Qu, Chin-Tung Chen, Moshe Elkabets, Lauren Fairchild, Oliver Chow, Francisco M. Barriga, Lukas E. Dow, Kevin O'Rourke, Bryan Szeglin, Dmitry Yarilin, Sho Fujisawa, Katia Manova-Todorova, Philip B. Paty, Jinru Shia, Christina Leslie, J. Joshua Smith, Scott Lowe, Raphael Pelossof, Francisco Sanchez-Vega, Julio Garcia-Aguilar
Summary: Somatic mutations in the KRAS oncogene are associated with differences in gene expression related to the tumor microenvironment in locally advanced rectal cancer. Studies in in vitro and in vivo models show that KRAS mutations modulate the activity of surrounding fibroblasts in the tumor microenvironment.
MOLECULAR ONCOLOGY
(2021)