Article
Oncology
Jiabao Guo, Bao-Hua Wang, Mengna He, Peifen Fu, Minya Yao, Tian'an Jiang
Summary: This study evaluated the diagnostic performance of contrast-enhanced ultrasonography (CEUS) in predicting early response in breast tumors under neoadjuvant chemotherapy (NAC). The results showed that quantitative time-intensive curve (TIC) parameters could effectively be used to evaluate early response in advanced breast cancer.
FRONTIERS IN ONCOLOGY
(2022)
Article
Medicine, General & Internal
Juan Peng, Huan Pu, Yan Jia, Chuang Chen, Xiao-Kang Ke, Qing Zhou
Summary: This study demonstrated the potential of CEUS in assisting early prediction of pathologic complete response (pCR) in breast cancer patients undergoing neoadjuvant chemotherapy. Specific CEUS parameters such as internal homogeneity and peak intensity change (PI%) showed predictive ability for pCR, providing a noninvasive approach for early prediction.
Article
Computer Science, Information Systems
Michal Byra, Katarzyna Dobruch-Sobczak, Ziemowit Klimonda, Hanna Piotrzkowska-Wroblewska, Jerzy Litniewski
Summary: This study utilized deep learning methods for early prediction of response to neoadjuvant chemotherapy in breast cancer, proposing two transfer learning techniques and investigating two prediction tasks. Results showed the feasibility of using transfer learning with deep CNNs for NAC response prediction in ultrasound imaging.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Fei-Hong Yu, Shu-Mei Miao, Cui-Ying Li, Jing Hang, Jing Deng, Xin-Hua Ye, Yun Liu
Summary: This study aims to investigate the predictive performance of the deep learning radiomics (DLR) model in evaluating therapeutic response after neoadjuvant chemotherapy (NAC) in patients with breast cancer. The results show that the integrated DLR model, incorporating pretreatment ultrasound imaging features and clinical characteristics, has a higher predictive accuracy for NAC response compared to image-only models and clinical models.
EUROPEAN RADIOLOGY
(2023)
Article
Oncology
Min Yang, Huan Liu, Qingli Dai, Ling Yao, Shun Zhang, Zhihong Wang, Jing Li, Qinghong Duan
Summary: This study developed and validated a nomogram based on radiomics features and clinical characteristics for early prediction of response to neoadjuvant chemotherapy in breast cancer. The nomogram showed good performance in terms of predicting chemotherapy response, providing valuable information for individual treatment and adjustment of chemotherapy regimens.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Jiang Xie, Huachan Shi, Chengrun Du, Xiangshuai Song, Jinzhu Wei, Qi Dong, Caifeng Wan
Summary: This study developed a deep learning approach, using ultrasound images, for the early prediction of neoadjuvant chemotherapy (NAC) response in patients with locally advanced breast cancer (LABC). The method, called dual-branch convolutional neural network (DBNN), achieved outstanding diagnostic performance by combining ultrasound data from before and after the first cycle of NAC.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Karolina Edlund, Katrin Madjar, Antje Lebrecht, Bahriye Aktas, Henryk Pilch, Gerald Hoffmann, Manfred Hofmann, Hans-Christian Kolberg, Daniel Boehm, Marco Battista, Martina Seehase, Kathrin Stewen, Susanne Gebhard, Cristina Cadenas, Rosemarie Marchan, Walburgis Brenner, Annette Hasenburg, Heinz Koelbl, Christine Solbach, Mathias Gehrmann, Berno Tanner, Karsten E. Weber, Sibylle Loibl, Agapios Sachinidis, Joerg Rahnenfuehrer, Marcus Schmidt, Jan G. Hengstler
Summary: An expression-based classifier was developed and validated to predict pathologic complete response (pCR) after neoadjuvant chemotherapy (NACT), showing good accuracy, AUC, and NPV. The classifier was particularly effective in identifying patients who do not achieve a pCR in about one third of luminal breast cancers.
CLINICAL CANCER RESEARCH
(2021)
Article
Oncology
Frederik Knude Palshof, Charlotte Lanng, Niels Kroman, Cemil Benian, Ilse Vejborg, Anne Bak, Maj-Lis Talman, Eva Balslev, Tove Filtenborg Tvedskov
Summary: The study found that MRI was more specific than US in predicting pCR in breast cancer patients receiving NACT, but not specific enough to be a valid predictor for omitting surgery. MRI should be preferred for future studies on predicting pCR in NACT patients.
ANNALS OF SURGICAL ONCOLOGY
(2021)
Article
Oncology
Jiaojiao Qi, Chenyu Wang, Yongxin Ma, Jiaxing Wang, Guangfei Yang, Yating Wu, Haiyan Wang, Chengrong Mi
Summary: This study explored the potential role of shear wave elastography (SWE) and superb microvascular imaging (SMI) in assessing the response to neoadjuvant chemotherapy (NAC) in breast cancer. The study found that these advanced ultrasound techniques can identify tumor characteristics associated with the pathological response to NAC, and may be useful for early evaluation of treatment effectiveness.
FRONTIERS IN ONCOLOGY
(2023)
Review
Oncology
Valeria Romeo, Giuseppe Accardo, Teresa Perillo, Luca Basso, Nunzia Garbino, Emanuele Nicolai, Simone Maurea, Marco Salvatore
Summary: This article discusses the importance of imaging assessment and prediction before and after neoadjuvant chemotherapy in breast cancer patients, emphasizing the role of imaging techniques in pathological complete response and preoperative evaluation, as well as the revolutionary impact of artificial intelligence in this field.
Article
Multidisciplinary Sciences
Sunghoon Joo, Eun Sook Ko, Soonhwan Kwon, Eunjoo Jeon, Hyungsik Jung, Ji-Yeon Kim, Myung Jin Chung, Young-Hyuck Im
Summary: The study developed a deep learning model that integrates clinical information and MRI images to predict pathologic complete response to neoadjuvant chemotherapy in breast cancer patients. The model trained on all datasets showed better performance compared to using only clinical information.
SCIENTIFIC REPORTS
(2021)
Article
Oncology
Xinhong Liang, Xiaofeng Chen, Zhiqi Yang, Yuting Liao, Mengzhu Wang, Yulin Li, Weixiong Fan, Zhuozhi Dai, Yunuo Zhang
Summary: The combination of ADC values and DCE-MRI parameters, especially the combination of W-in, TTP, and ADC values, may improve the early prediction of pCR in breast cancer.
Article
Oncology
Jingxian Duan, Yuanshen Zhao, Qiuchang Sun, Dong Liang, Zaiyi Liu, Xin Chen, Zhi-Cheng Li
Summary: This study developed a deep learning signature (DLS) from pretreatment MRI to predict responses to neoadjuvant chemotherapy in breast cancer patients and explored the biological pathways of DLS using paired MRI and proteomic sequencing data. The DLS showed high accuracy in predicting pathologic complete response (pCR) and revealed associations with biological functions facilitating pCR, potentially guiding personalized medication.
Article
Medicine, General & Internal
Caifeng Wan, Liheng Zhou, Hongli Li, Lin Wang, Fenghua Li, Wenjin Yin, Yaohui Wang, Lixin Jiang, Jinsong Lu
Summary: This study aimed to explore the value of contrast-enhanced ultrasound (CEUS) in predicting pathologic complete response (pCR) and recurrence-free survival (RFS) in locally advanced breast cancer (LABC) patients treated with neoadjuvant chemotherapy (NAC). The study found that molecular subtype, peak intensity (PEAK), and change in diameter were independent predictors of pCR after one cycle of NAC, while molecular subtype, PEAK, and change in time to peak (TTP) were associated with pCR after two cycles of NAC. Higher clinical T and N stages and longer TTP at pre-NAC CEUS were independently associated with poorer RFS. Therefore, CEUS can be used as a technique to predict pCR and RFS early in LABC patients treated with NAC.
Article
Oncology
Haoqi Wang, Yuyang Lu, Yilun Li, Sainan Li, Xi Zhang, Cuizhi Geng
Summary: A nomogram was constructed for early prediction of pathological complete response (pCR) in breast cancer patients after neoadjuvant chemotherapy. The nomogram showed excellent discrimination ability and diagnostic value in predicting pCR, and it may provide guidance for clinicians in adjusting treatment programs.
CURRENT PROBLEMS IN CANCER
(2022)
Article
Oncology
Mihong Choi, Jiyeon Han, Bo Ram Yang, Myoung-jin Jang, Miso Kim, Dae-Won Lee, Tae-Yong Kim, Seock-Ah Im, Han-Byoel Lee, Hyeong-Gon Moon, Wonshik Han, Dong-Young Noh, Kyung-Hun Lee
Summary: Insulin or statin use prior to breast cancer diagnosis is associated with increased all-cause mortality. Subsequent analysis suggests metformin or statin use may be protective in patients with ER-negative disease, warranting further studies.
CANCER RESEARCH AND TREATMENT
(2021)
Article
Oncology
Andre Pfob, Chris Sidey-Gibbons, Han-Byoel Lee, Marios Konstantinos Tasoulis, Vivian Koelbel, Michael Golatta, Gaiane M. Rauch, Benjamin D. Smith, Vicente Valero, Wonshik Han, Fiona MacNeill, Walter Paul Weber, Geraldine Rauch, Henry M. Kuerer, Joerg Heil
Summary: The study developed and tested multivariate algorithms to accurately identify breast cancer patients without residual cancer after neoadjuvant treatment. The neural network showed the best performance with a specificity ranging from 65.2% to 67.2% in both test and external validation datasets.
EUROPEAN JOURNAL OF CANCER
(2021)
Article
Multidisciplinary Sciences
Seol Hwa Jo, Woo Hang Heo, Hye-Youn Son, Mingji Quan, Bok Sil Hong, Ju Hee Kim, Han-Byoel Lee, Wonshik Han, Yeonju Park, Dong-Sup Lee, Nam Hoon Kwon, Min Chul Park, Jeesoo Chae, Jong-Il Kim, Dong-Young Noh, Hyeong-Gon Moon
Summary: The direct co-culture of breast cancer cells with non-tumorigenic mammary epithelial cells leads to substantial changes in the molecular and functional characteristics of the mammary epithelial cells, with enhanced proliferation, migration, colony formation, and sphere formation capabilities. Dysregulation of cancer-related pathways is observed, along with upregulation of S100A8 and S100A9, suggesting a potential transition program mediated by these proteins in non-tumorigenic epithelial cells.
SCIENTIFIC REPORTS
(2021)
Article
Oncology
Young-Il Hahn, Soma Saeidi, Su-Jung Kim, Se-Young Park, Na-Young Song, Jie Zheng, Do-Hee Kim, Han-Byoel Lee, Wonshik Han, Dong-Young Noh, Hye-Kyung Na, Young-Joon Surh
Summary: STAT3 and NF-kappa B are critical transcription factors in inflammation-associated tumorigenesis, working together at multiple levels. Breast carcinomas have a significant dependency on both classical and non-classical NF-kappa B pathways. STAT3 stabilizes and activates IKK alpha, leading to NF-kappa B activation and promoting breast cancer growth and progression.
Article
Oncology
Dong-Yun Kim, Eonju Park, Chan Yeong Heo, Ung Sik Jin, Eun Kyu Kim, Wonshik Han, Kyung Hwan Shin, In Ah Kim
Summary: The study found that there was no significant difference in breast-related complications between hypofractionated and conventional fractionated adjuvant radiotherapy in reconstructed breast cancer patients. Hypofractionated radiotherapy showed a significant advantage in reducing major contracture compared to conventional radiotherapy.
Article
Oncology
Su-Jung Kim, Soma Saeidi, Nam-Chul Cho, Seung Hyeon Kim, Han-Byoel Lee, Wonshik Han, Dong-Young Noh, Young-Joon Surh
Summary: Persistent activation of STAT3 and Nrf2 in basal-like breast cancer is shown to stimulate aggressive behavior, with their interaction accelerating BLBC growth through increased IL-23A expression.
Article
Oncology
Sungmin Park, Joon Jeong, Wonshik Han, Young Joo Lee, Hyun-Ah Kim, Seokwon Lee, Kyung Do Byun, Young Jin Choi, Jiyoung Kim, Soo Youn Bae
Summary: The study compared the prognoses of breast cancer patients who underwent mastectomy with immediate breast reconstruction (IBR) after neoadjuvant chemotherapy with those who only underwent mastectomy. The results showed that there was no significant difference in prognosis between the two groups in general, but patients in the mastectomy with IBR group had slightly better outcomes compared to those in the mastectomy group in clinical stage II patients. Individualized surgical decisions should be made based on patient-specific factors.
Article
Cell Biology
Eun-Hee Kim, Su-Jung Kim, Hye-Kyung Na, Wonshik Han, Nam-Jung Kim, Young-Ger Suh, Young-Joon Surh
Summary: The study found that 15d-PGJ2 activates VEGF expression through NRF2-driven induction of HO-1 in human breast cancer cells, suggesting a novel oncogenic mechanism. Elevated levels of 15d-PGJ2 during the inflammatory response were linked to poor clinical outcomes in breast cancer patients. Levels of 15d-PGJ2, COX-2, NRF2, and HO-1 were found to be increased in human breast cancer tissues.
Article
Gastroenterology & Hepatology
Doo-Ho Lee, Woongchang Yoon, Areum Lee, Youngmin Han, Yoonhyeong Byun, Jae Seung Kang, Hongbeom Kim, Wooil Kwon, Young-Ah Suh, Yonghwan Choi, Junghyun Namkung, Sangjo Han, Sung Gon Yi, Jin Seok Heo, In Woong Han, Joon Oh Park, Joo Kyung Park, Song Cheol Kim, Eunsung Jun, Chang Moo Kang, Woo Jin Lee, Hyeon Kook Lee, Huisong Lee, Seungyeoun Lee, Seung-Yong Jeong, Kyu Eun Lee, Wonshik Han, Taesung Park, Jin-Young Jang
Summary: This study developed a prediction model using a multi-marker panel as a diagnostic screening tool for pancreatic ductal adenocarcinoma and demonstrated its significant diagnostic performance in distinguishing pancreatic ductal adenocarcinoma from normal and benign pancreatic disease states, as well as patients with other cancers.
JOURNAL OF HEPATO-BILIARY-PANCREATIC SCIENCES
(2023)
Article
Multidisciplinary Sciences
Joo Heung Kim, Sunggyun Park, Hyung Seok Park, Ji Soo Park, Seung-Tae Lee, Sung-Won Kim, Jong Won Lee, Min Hyuk Lee, Sue K. Park, Woo-Chul Noh, Doo Ho Choi, Wonshik Han, Sung Hoo Jung
Summary: Genetic testing for BRCA1 and BRCA2 is crucial in diagnosing hereditary breast and ovarian cancer syndromes, but VUS results pose challenges to clinicians. A study of 676 breast cancer patients in Korea found numerous VUS on BRCA mutation tests, some of which were reclassified in the ClinVar database. Utilizing updated ClinVar information and calculating odds ratios can aid in the reclassification of VUSs in BRCA1/2.
SCIENTIFIC REPORTS
(2021)
Article
Oncology
JooYong Park, Ji-Yeob Choi, Jaesung Choi, Seokang Chung, Nan Song, Sue K. Park, Wonshik Han, Dong-Young Noh, Sei-Hyun Ahn, Jong Won Lee, Mi Kyung Kim, Sun Ha Jee, Wanqing Wen, Manjeet K. Bolla, Qin Wang, Joe Dennis, Kyriaki Michailidou, Mitul Shah, Don M. Conroy, Patricia A. Harrington, Rebecca Mayes, Kamila Czene, Per Hall, Lauren R. Teras, Alpa V. Patel, Fergus J. Couch, Janet E. Olson, Elinor J. Sawyer, Rebecca Roylance, Stig E. Bojesen, Henrik Flyger, Diether Lambrechts, Adinda Baten, Keitaro Matsuo, Hidemi Ito, Pascal Guenel, Therese Truong, Renske Keeman, Marjanka K. Schmidt, Anna H. Wu, Chiu-Chen Tseng, Angela Cox, Simon S. Cross, Irene L. Andrulis, John L. Hopper, Melissa C. Southey, Pei-Ei Wu, Chen-Yang Shen, Peter A. Fasching, Arif B. Ekici, Kenneth Muir, Artitaya Lophatananon, Hermann Brenner, Volker Arndt, Michael E. Jones, Anthony J. Swerdlow, Reiner Hoppe, Yon-Dschun Ko, Mikael Hartman, Jingmei Li, Arto Mannermaa, Jaana M. Hartikainen, Javier Benitez, Anna Gonzalez-Neira, Christopher A. Haiman, Thilo Doerk, Natalia V. Bogdanova, Soo Hwang Teo, Nur Aishah Mohd Taib, Olivia Fletcher, Nichola Johnson, Mervi Grip, Robert Winqvist, Carl Blomqvist, Heli Nevanlinna, Annika Lindblom, Camilla Wendt, Vessela N. Kristensen, Rob A. E. M. Tollenaar, Bernadette A. M. Heemskerk-Gerritsen, Paolo Radice, Bernardo Bonanni, Ute Hamann, Mehdi Manoochehri, James V. Lacey, Maria Elena Martinez, Alison M. Dunning, Paul D. P. Pharoah, Douglas F. Easton, Keun-Young Yoo, Daehee Kang
Summary: The study focused on gene-environment interactions related to estrogen exposure or metabolism in Korean women, finding two interactions that were not replicated in a larger European and Asian population. This highlights the specificity of breast cancer risk in Koreans.
Article
Oncology
Sook Young Jeon, Kyoung-Eun Kim, Eun-Kyu Kim, Hyunhee Han, Han-Byoel Lee, Wonshik Han, Dong-Young Noh, Hyeong-Gon Moon
Summary: This study found that although many women with newly diagnosed breast cancer experience depression and anxiety before surgery, these emotions do not impact their choice of surgical method. Instead, their attitudes towards the decision-making process play a significant role in influencing their choice. Patients who preferred a more active role in decision-making were more likely to choose mastectomy over breast-conserving surgery.
JOURNAL OF ONCOLOGY
(2021)
Article
Oncology
Sung Gwe Ahn, Seok Jin Nam, Sei Hyun Ahn, Yongsik Jung, Heung Kyu Park, Soo Jung Lee, Sung Soo Kang, Wonshik Han, Kyong Hwa Park, Yong Lai Park, Jihyoun Lee, Hyun Jo Youn, Jun Hyun Kim, Youngbum Yoo, Jeong Yoon Song, Byung Kyun Ko, Geumhee Gwak, Min Sung Chung, Sung Yong Kim, Seo Heon Cho, Doyil Kim, Myung Chul Chang, Byung In Moon, Lee Su Kim, Sei Joong Kim, Min Ho Park, Tae Hyun Kim, Jihyoung Cho, Cheol Wan Lim, Young Tae Bae, Gyungyub Gong, Young Kyung Bae, Ahwon Lee, Joon Jeong
Summary: Adjuvant letrozole treatment demonstrates favorable efficacy and tolerability in patients with breast cancer, independent of ER expression levels.
JOURNAL OF BREAST CANCER
(2021)
Article
Education, Scientific Disciplines
Ji Han Lee, Yong Jin Kim, Sung Woo Kim, Hoon Kim, Wonshik Han, Seung-Yup Ku
Summary: This retrospective study reviewed records of 164 women who underwent breast cancer surgery, finding that bone mineral density (BMD) in L1-4, femur neck, and femur total was significantly lower at follow-up than at initial visit. The change in BMD was positively correlated with age and endometrial thickness (EMT) change, suggesting that EMT could be an alternative screening marker for BMD decrease in breast cancer survivors during follow-up.
Article
Oncology
Hong-Kyu Kim, Young Wook Ju, Jun Woo Lee, Kyoung-Eun Kim, Jigwang Jung, Yumi Kim, Han-Byoel Lee, Hyeong-Gon Moon, Dong-Young Noh, Kwan Sik Seo, Wonshik Han
Summary: This study evaluated the risk factors for lymphedema in breast cancer surgery and adjuvant treatments, and found that the number of retrieved sentinel lymph nodes was not associated with the incidence of lymphedema.
JOURNAL OF BREAST CANCER
(2021)
