Cancer Research and Treatment

Original Articles

Tracing Metastatic Evolutionary Patterns in Lung Adenocarcinoma: Prognostic Dissection Based on a Multi-state Model: Geewon Lee, Yang-Jin Kim, Insuk Sohn, Jong Hoon Kim, Ho Yun Lee; Received July 25, 2024 Accepted January 22, 2025 Published online January 24, 2025; DOI: https://doi.org/10.4143/crt.2024.700 [Accepted]

Abstract PDF: Purpose
After surgery for lung adenocarcinoma, a patient may experience various states of recurrence, with multiple factors potentially influencing the transitions between these states. Our purpose was to investigate the effects of clinical and pathological factors on tumor recurrence, death, and prognosis across various metastasizing pathways.
Materials and Methods
Our study group included 335 patients with all demographic and pathologic data available who underwent surgical resection for lung adenocarcinoma for more than 10 years. The following states of disease were defined: initial state, operation (OP); three intermediate states of local recurrence (LR), metastasis (Meta), and concurrent LR with metastasis (LR+Meta); and a terminal state, death. We identified 8 transitions representing various pathways of tumor progression. We employed a multi-state model (MSM) to separate the impacts of multiple prognostic factors on the transitions following surgery.
Results
After surgery, approximately half of patients experienced recurrence. Specifically, 142 (42.4%), 54 (16.1%), and 7 (2.1%) patients developed Meta, LR+Meta, and LR, respectively. Clinical and pathological factors associated with the transitions were different. Impact of pathological lymph node remained a risk factor for both OP to Meta (λ₀₂, p-value=0.001) and OP to LR+Meta (λ₀₃, p-value = 0.001).
Conclusion
Lung adenocarcinoma displays a broad spectrum of clinical scenarios even after curative surgery. Incidence, risk factors, and prognosis varied across different pathways of recurrence in lung adenocarcinoma patients. The greatest implication of this MSM is its ability to predict the timing and type of clinical intervention that will have the greatest impact on survival.

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Impact of Angiotensin Receptor Blockers, Beta Blockers, Calcium Channel Blockers and Thiazide Diuretics on Survival of Ovarian Cancer Patients: Min Ae Cho, Soo Young Jeong, Insuk Sohn, Myeong-Seon Kim, Jun Hyeok Kang, E Sun Paik, Yoo-Young Lee, Chel Hun Choi; Cancer Res Treat. 2020;52(2):645-654. Published online January 16, 2020; DOI: https://doi.org/10.4143/crt.2019.509

Abstract PDF Supplementary Material PubReader ePub

Purpose
We investigated the impact of four types of antihypertensive medications, angiotensin receptor blockers (ARBs), beta blockers (BBs; both selective and non-selective), calcium channel blockers (CCBs), and thiazide diuretics (TDs) on survival outcomes in epithelial ovarian cancer (EOC).
Materials and Methods
A single-institutional retrospective chart review of 878 patients with EOC was performed. Survival was compared according to use of the four antihypertensive medications during primary treatment. Propensity score matching (ratio 1:3) was performed to control possible associated covariates, such as age, International Federation of Gynecology and Obstetrics stage, residual status after primary debulking surgery, and co-morbidity.
Results
Among 878 patients, 56 patients (6.4%) were ARB users, 62 (7.1%) were BB users, 107 (12.2%) were CCBs users and 32 (3.6%) used TDs. Median progression-free survival (PFS) for ARB, BB, and CCB users was 37.8, 27.2, and 23.6 months compared with 33.6 months for non-users. ARB was associated with 35% decreased risk of disease progression (hazard ratio [HR], 0.65; 95% confidence interval [CI], 0.42 to 0.99; p=0.046) in multivariate analysis. After propensity score matching, median PFS for ARB users was 37.8 months and ARB use remained to be associated with lower recurrence rate in univariate (p=0.035) and multivariate analysis (HR, 0.60; 95% CI, 0.39 to 0.93; p=0.022).
Conclusion
In this study, ARBs use during primary treatment is associated with lower recurrence in EOC patients. However, CCBs, BBs, and TDs did not show beneficial impact.

Citations

Citations to this article as recorded by

Evaluation of antihypertensive medications use and survival in patients with ovarian cancer: a population-based retrospective cohort study
Rūta Everatt, Irena Kuzmickienė, Birutė Brasiūnienė, Ieva Vincerževskienė, Birutė Intaitė, Saulius Cicėnas, Ingrida Lisauskienė
BMC Women's Health.2024;[Epub] CrossRef
Advanced progress of the relationship between renin–angiotensin–aldosterone system inhibitors and cancers
Ruixing Zhang, Hongtao Yin, Mengdi Yang, Jinjin Liu, Donghu Zhen, Zheng Zhang
Journal of Hypertension.2024; 42(11): 1862. CrossRef
Impact of ACEI/ARB use on the survival of hypertensive patients with cancer: A meta‑analysis
Yao Xiao, Xinlong Chen, Wancheng Li, Xin Li, Wence Zhou
Oncology Letters.2024;[Epub] CrossRef
Renin-Angiotensin-Aldosterone System Inhibitors and Development of Gynecologic Cancers: A 23 Million Individual Population-Based Study
Nhi Thi Hong Nguyen, Phung-Anh Nguyen, Chih-Wei Huang, Ching-Huan Wang, Ming-Chin Lin, Min-Huei Hsu, Hoang Bui Bao, Shuo-Chen Chien, Hsuan-Chia Yang
International Journal of Molecular Sciences.2023; 24(4): 3814. CrossRef
Association of Hypertension and Breast Cancer: Antihypertensive Drugs as an Effective Adjunctive in Breast Cancer Therapy
Yuanyuan Fan, Nazeer Hussain Khan, Muhammad Farhan Ali Khan, MD Faysal Ahammad, Tayyaba Zulfiqar, Razia Virk, Enshe Jiang
Cancer Management and Research.2022; Volume 14: 1323. CrossRef
The effect of angiotensin receptor blockers and angiotensin-converting enzyme inhibitors on progression of gastric cancer: systematic review and meta-analysis
Seyed Ali Mehrdad, Farshad Mirzavi, Seyed Mohammad Reza Seyedi, Ahmad Asoodeh
Anti-Cancer Drugs.2022; 33(10): 983. CrossRef
Repurposing approved drugs for cancer therapy
Catherine H Schein
British Medical Bulletin.2021; 137(1): 13. CrossRef
Norepinephrine inhibits migration and invasion of human glioblastoma cell cultures possibly via MMP-11 inhibition
Jing Zhong, Weiran Shan, Zhiyi Zuo
Brain Research.2021; 1756: 147280. CrossRef
Antihypertensive Drug Use and the Risk of Ovarian Cancer Death among Finnish Ovarian Cancer Patients—A Nationwide Cohort Study
Eerik E. E. Santala, Miia Artama, Eero Pukkala, Kala Visvanathan, Synnöve Staff, Teemu J. Murtola
Cancers.2021; 13(9): 2087. CrossRef
The Use of Antihypertensive Drugs as Coadjuvant Therapy in Cancer
José A. Carlos-Escalante, Marcela de Jesús-Sánchez, Alejandro Rivas-Castro, Pavel S. Pichardo-Rojas, Claudia Arce, Talia Wegman-Ostrosky
Frontiers in Oncology.2021;[Epub] CrossRef
Post-Diagnostic Beta Blocker Use and Prognosis of Ovarian Cancer: A Systematic Review and Meta-Analysis of 11 Cohort Studies With 20,274 Patients
Zhao-Yan Wen, Song Gao, Ting-Ting Gong, Yu-Ting Jiang, Jia-Yu Zhang, Yu-Hong Zhao, Qi-Jun Wu
Frontiers in Oncology.2021;[Epub] CrossRef
Stress Hormones: Emerging Targets in Gynecological Cancers
Guoqiang Chen, Lei Qiu, Jinghai Gao, Jing Wang, Jianhong Dang, Lingling Li, Zhijun Jin, Xiaojun Liu
Frontiers in Cell and Developmental Biology.2021;[Epub] CrossRef
The Effect of Local Renin Angiotensin System in the Common Types of Cancer
Moudhi Almutlaq, Abir Abdullah Alamro, Hassan S. Alamri, Amani Ahmed Alghamdi, Tlili Barhoumi
Frontiers in Endocrinology.2021;[Epub] CrossRef
Does sympathetic nervous system modulate tumor progression? A narrative review of the literature
Ioannis Stavropoulos, Angelos Sarantopoulos, Anastasios Liverezas
Journal of Drug Assessment.2020; 9(1): 106. CrossRef

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Nomograms Predicting Platinum Sensitivity, Progression-Free Survival, and Overall Survival Using Pretreatment Complete Blood Cell Counts in Epithelial Ovarian Cancer: E Sun Paik, Insuk Sohn, Sun-Young Baek, Minhee Shim, Hyun Jin Choi, Tae-Joong Kim, Chel Hun Choi, Jeong-Won Lee, Byoung-Gie Kim, Yoo-Young Lee, Duk-Soo Bae; Cancer Res Treat. 2017;49(3):635-642. Published online September 27, 2016; DOI: https://doi.org/10.4143/crt.2016.282

Abstract PDF Supplementary Material PubReader ePub

Purpose
This study was conducted to evaluate the prognostic significance of pre-treatment complete blood cell count (CBC), including white blood cell (WBC) differential, in epithelial ovarian cancer (EOC) patients with primary debulking surgery (PDS) and to develop nomograms for platinum sensitivity, progression-free survival (PFS), and overall survival (OS).
Materials and Methods
We retrospectively reviewed the records of 757 patients with EOC whose primary treatment consisted of surgical debulking and chemotherapy at Samsung Medical Center from 2002 to 2012. We subsequently created nomograms for platinum sensitivity, 3-year PFS, and 5-year OS as prediction models for prognostic variables including age, stage, grade, cancer antigen 125 level, residual disease after PDS, and pre-treatment WBC differential counts. The models were then validated by 10-fold cross-validation (CV).
Results
In addition to stage and residual disease after PDS, which are known predictors, lymphocyte and monocyte count were found to be significant prognostic factors for platinum-sensitivity, platelet count for PFS, and neutrophil count for OS on multivariate analysis. The area under the curves of platinum sensitivity, 3-year PFS, and 5-year OS calculated by the 10-fold CV procedure were 0.7405, 0.8159, and 0.815, respectively.
Conclusion
Prognostic factors including pre-treatment CBC were used to develop nomograms for platinum sensitivity, 3-year PFS, and 5-year OS of patients with EOC. These nomograms can be used to better estimate individual outcomes.

Citations

Citations to this article as recorded by

The Gustave Roussy immune score as a novel scoring system for predicting platinum resistance in advanced high-grade serous ovarian cancer
Xianglin Nie, Ting Xu, Lin Zhang, Wenjun Cheng
European Journal of Obstetrics & Gynecology and Reproductive Biology.2024; 294: 97. CrossRef
Predictive Value of Machine Learning for Platinum Chemotherapy Responses in Ovarian Cancer: Systematic Review and Meta-Analysis
Qingyi Wang, Zhuo Chang, Xiaofang Liu, Yunrui Wang, Chuwen Feng, Yunlu Ping, Xiaoling Feng
Journal of Medical Internet Research.2024; 26: e48527. CrossRef
Candidate prognostic biomarkers and prediction models for high-grade serous ovarian cancer from urinary proteomics
Maowei Ni, Danying Wan, Junzhou Wu, Wangang Gong, Junjian Wang, Zhiguo Zheng
Journal of Proteomics.2024; 304: 105234. CrossRef
Preoperative Immune Cell Dysregulation Accompanies Ovarian Cancer Patients into the Postoperative Period
Jonas Ulevicius, Aldona Jasukaitiene, Arenida Bartkeviciene, Zilvinas Dambrauskas, Antanas Gulbinas, Daiva Urboniene, Saulius Paskauskas
International Journal of Molecular Sciences.2024; 25(13): 7087. CrossRef
A nomogram with Ki-67 in the prediction of postoperative recurrence and death for glioma
Fengfeng Li, Dongyuan Wang, Nana Wang, Linlin Wu, Bo Yu
Scientific Reports.2024;[Epub] CrossRef
Machine learning for epithelial ovarian cancer platinum resistance recurrence identification using routine clinical data
Li-Rong Yang, Mei Yang, Liu-Lin Chen, Yong-Lin Shen, Yuan He, Zong-Ting Meng, Wan-Qi Wang, Feng Li, Zhi-Jin Liu, Lin-Hui Li, Yu-Feng Wang, Xin-Lei Luo
Frontiers in Oncology.2024;[Epub] CrossRef
Comparison of older and younger patients with ovarian cancer: A post hoc study (JGOG3016‐A3) of the treatment strength and prognostic outcomes of conventional or dose‐dense chemotherapy
Yoshio Itani, Hitomi Sakai, Tetsutaro Hamano, Mikiko Asai‐Sato, Masayuki Futagami, Masaki Fujimura, Yoichi Aoki, Nao Suzuki, Yoshio Yoshida, Takayuki Enomoto
Journal of Obstetrics and Gynaecology Research.2023; 49(5): 1400. CrossRef
Toward More Comprehensive Homologous Recombination Deficiency Assays in Ovarian Cancer Part 2: Medical Perspectives
Stanislas Quesada, Michel Fabbro, Jérôme Solassol
Cancers.2022; 14(4): 1098. CrossRef
Development of Machine Learning Models to Predict Platinum Sensitivity of High-Grade Serous Ovarian Carcinoma
Suhyun Hwangbo, Se Ik Kim, Ju-Hyun Kim, Kyung Jin Eoh, Chanhee Lee, Young Tae Kim, Dae-Shik Suh, Taesung Park, Yong Sang Song
Cancers.2021; 13(8): 1875. CrossRef
Beyond BRCA Status: Clinical Biomarkers May Predict Therapeutic Effects of Olaparib in Platinum-Sensitive Ovarian Cancer Recurrence
Kazuho Nakanishi, Takashi Yamada, Gen Ishikawa, Shunji Suzuki
Frontiers in Oncology.2021;[Epub] CrossRef
Inflammatory indexes as predictive factors for platinum sensitivity and as prognostic factors in recurrent epithelial ovarian cancer patients: a MITO24 retrospective study
Alberto Farolfi, Emanuela Scarpi, Filippo Greco, Alice Bergamini, Lucia Longo, Sandro Pignata, Claudia Casanova, Gennaro Cormio, Alessandra Bologna, Michele Orditura, Laura Zavallone, Laura Attademo, Valentina Gallà, Elisena Franzese, Eva Pigozzi, Vera Lo
Scientific Reports.2020;[Epub] CrossRef
Pertinence des marqueurs tumoraux, scores (cliniques et biologiques) et algorithmes à visée diagnostique et pronostique devant une masse ovarienne suspecte d’un cancer épithélial. Article rédigé sur la base de la recommandation nationale de bonnes pratiqu
S. Bendifallah, G. Body, E. Daraï, L. Ouldamer
Gynécologie Obstétrique Fertilité & Sénologie .2019; 47(2): 134. CrossRef
Development of Web-Based Nomograms to Predict Treatment Response and Prognosis of Epithelial Ovarian Cancer
Se Ik Kim, Minsun Song, Suhyun Hwangbo, Sungyoung Lee, Untack Cho, Ju-Hyun Kim, Maria Lee, Hee Seung Kim, Hyun Hoon Chung, Dae-Shik Suh, Taesung Park, Yong-Sang Song
Cancer Research and Treatment.2019; 51(3): 1144. CrossRef

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Impact on Survival of Regular Postoperative Surveillance for Patients with Early Breast Cancer: Ji Yun Lee, Sung Hee Lim, Min-Young Lee, Haesu Kim, Moonjin Kim, Sungmin Kim, Hyun Ae Jung, Insuk Sohn, Won Ho Gil, Jeong Eon Lee, Seok Won Kim, Seok Jin Nam, Jin Seok Ahn, Young-Hyuck Im, Yeon Hee Park; Cancer Res Treat. 2015;47(4):765-773. Published online January 13, 2015; DOI: https://doi.org/10.4143/crt.2014.168

Abstract PDF PubReader ePub

Purpose
The purpose of this study is to evaluate the role of regular postoperative surveillance to improve the prognosis of patients with breast cancer after curative surgery. Materials and Methods We retrospectively analyzed the medical records of 4,119 patients who received curative surgery for breast cancer at Samsung Medical Center between January 2000 and September 2008. Patients were divided into two groups (group I, regular postoperative surveillance; group II, control group) according to their post-therapy follow-up status for the first 5 years after surgery. Results Among the 3,770 patients selected for inclusion, groups I and II contained 3,300 (87%) and 470 (13%) patients, respectively. The recurrence rates at 5 years for groups I and II were 10.6% and 16.4%, respectively (hazard ratio, 0.85; 95% confidence interval [CI], 0.67 to 1.09; p=0.197). The 10-year mortality cumulative rates were 8.8% for group I and 25.4% for group II (hazard ratio, 0.28; 95% CI, 0.22 to 0.35; p < 0.001). In multivariate analysis for recurrence-free survival (RFS), age over 40 years (p < 0.001), histologic grade 1 (p < 0.001), and pathologic stage I (p < 0.001) were associated with longer RFS but not with follow- up status. Multivariate analysis for overall survival (OS) revealed that patients in group I showed significantly improved OS (hazard ratio, 0.29; 95% CI, 0.23 to 0.37; p < 0.001). Additionally, age over 40 years, histologic grade I, and pathologic stage I were independent prognostic factors for OS. Conclusion Regular follow-up for patients with breast cancer after primary surgery resulted in clinically significant improvements in patient OS.

Citations

Citations to this article as recorded by

Follow-up strategy and survival for five common cancers: A meta-analysis
Boris Galjart, Diederik J. Höppener, Joachim G.J.V. Aerts, Christiaan H. Bangma, Cornelis Verhoef, Dirk J. Grünhagen
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Ji-Yeon Kim, Danbee Kang, Seok Jin Nam, Seok Won Kim, Jeong Eon Lee, Jong Han Yu, Se Kyung Lee, Young-Hyuck Im, Jin Seok Ahn, Eliseo Guallar, Juhee Cho, Yeon Hee Park
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Follow-Up Recommendations after Curative Resection of Well-Differentiated Neuroendocrine Tumours: Review of Current Evidence and Clinical Practice
Angela Lamarca, Hamish Clouston, Jorge Barriuso, Mairéad G McNamara, Melissa Frizziero, Was Mansoor, Richard A Hubner, Prakash Manoharan, Sarah O’Dwyer, Juan W Valle
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Trishul Kapoor, Sean Wrenn, Peter Callas, Ted A. James
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