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Su L, Xu R, Ren Y, Zhao S, Song L, Meng C, Liu W, Zhou X, Du Z. 5-Methylcytosine methylation predicts cervical cancer prognosis, shaping immune cell infiltration. J Int Med Res 2025; 53:3000605251328301. [PMID: 40219803 DOI: 10.1177/03000605251328301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2025] Open
Abstract
BackgroundEpigenetics, encompassing DNA and RNA modifications, has emerged as a prominent area of research in the post-genomic era. Numerous studies have elucidated the impact of epigenetics on tumor regulation. However, the methylation patterns of 5-methylcytosine in cervical cancer as well as its role in the tumor microenvironment and immunotherapy remain poorly understood.MethodsUtilizing a comprehensive dataset encompassing samples from 306 patients with cervical cancer from The Cancer Genome Atlas and Gene Expression Omnibus repositories, we conducted an in-depth analysis to evaluate the potential association between the modification patterns of 5-methylcytosine and the infiltration of cells within the tumor microenvironment, taking into account 11 regulators of 5-methylcytosine modification. Subsequently, we employed stepwise regression and Least Absolute Shrinkage and Selection Operator Cox regression to quantify 5-methylcytosine modification patterns in patients with cervical squamous cell carcinoma and endocervical adenocarcinoma, yielding the 5-methylcytosine score. Our study explored the link between the 5-methylcytosine score and clinical characteristics as well as prognostic outcomes in patients with cervical squamous cell carcinoma and endocervical adenocarcinoma.ResultsA comprehensive analysis of 306 patients with cervical cancer revealed two distinct 5-methylcytosine modification patterns, henceforth labeled as 5-methylcytosine clusters A and B. These clusters exhibited distinct immunological profiles and biological attributes, with 5-methylcytosine cluster A exhibiting a higher degree of immune cell infiltration. Utilizing univariate Cox regression analysis, we identified 367 genes regulated by 5-methylcytosine that were significantly correlated with patient prognosis. This analysis further stratified the samples into three distinct genomic subtypes. Survival analyses indicated that patients belonging to gene cluster C exhibited more favorable survival outcomes than those belonging to gene clusters A and B. Intriguingly, most 5-methylcytosine regulatory factors had higher expression levels in gene cluster B than in gene cluster A. Gene set enrichment analysis of a single sample revealed elevated immune cell infiltration within gene cluster B, indicating a stronger immune response in this cluster. The 5-methylcytosine score feature was utilized to determine the 5-methylcytosine modification pattern in cervical cancer, revealing that patients with low 5-methylcytosine scores exhibited better survival rates, whereas those with high scores had increased mutation frequencies and better treatment responses.ConclusionsThis research underscores the key role of 5-methylcytosine modification patterns in cervical cancer. Analysis of these patterns will deepen our understanding of the cervical cancer tumor microenvironment, paving the way for the development of more refined and effective immunotherapy strategies.
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Affiliation(s)
- Luyang Su
- Physical Examination Center, Hebei General Hospital, Shijiazhuang, Hebei-China
| | - Ren Xu
- Department of Obstetrics and Gynecology, Hebei General Hospital, Shijiazhuang, Hebei-China
| | - Yanan Ren
- Department of Obstetrics and Gynecology, Hebei General Hospital, Shijiazhuang, Hebei-China
| | - Shixia Zhao
- Physical Examination Center, Hebei General Hospital, Shijiazhuang, Hebei-China
| | - Liyun Song
- Department of Obstetrics and Gynecology, Hebei General Hospital, Shijiazhuang, Hebei-China
| | - Cuiqiao Meng
- Physical Examination Center, Hebei General Hospital, Shijiazhuang, Hebei-China
| | - Weilan Liu
- Physical Examination Center, Hebei General Hospital, Shijiazhuang, Hebei-China
| | - Xuan Zhou
- Department of Obstetrics and Gynecology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei-China
| | - Zeqing Du
- Department of Obstetrics and Gynecology, Second Hospital of Hebei Medical University, Shijiazhuang, Hebei-China
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De Vitis LA, Schivardi G, Gaeta A, Caruso G, Rosanu M, Ribero L, Fumagalli D, Casarin J, Betella I, Bogani G, Langstraat CL, Aletti GD, Colombo N, Zanagnolo V, Gandini S, Multinu F. External validation of the annual recurrence risk model for tailored surveillance strategy in patients with cervical cancer. Int J Gynecol Cancer 2025:101756. [PMID: 40140271 DOI: 10.1016/j.ijgc.2025.101756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2024] [Revised: 02/17/2025] [Accepted: 02/24/2025] [Indexed: 03/28/2025] Open
Abstract
OBJECTIVE The annual recurrence risk model (ARRM), developed by the Surveillance in Cervical Cancer consortium and endorsed by the European Society of Gynecological Oncology, predicts the annual risk of cervical cancer recurrence. However, it lacks an external validation, which we aimed to address in the current retrospective study. METHODS We included patients with pathology confirmed T1a to T2b cervical cancers who underwent radical surgery at the European Institute of Oncology, Milan from January 2010 to December 2022. Using the ARRM risk calculator, patients were assigned a score from 0 to 100 points, which allowed classification into 5 risk groups (0, 1-25, 26-50, 51-75, and 76-100 points). Differences in 5-year disease-free survival were evaluated through log-rank tests with pairwise comparisons. Annual risk of recurrence was calculated using conditional survival analysis. RESULTS Overall, 411 patients with cervical cancers were included: 0 (0.0%) scored 0 points, 149 (36.3%) scored 1 to 25 points, 224 (54.5%) scored 26 to 50 points, 37 (9.0%) scored 51 to 75 points, and 1 (0.2%) scored 76 to 100 points. The patient from 76 to 100 points was excluded from further analyses. The 5-year disease-free survival rates were 96.3% (95% CI 90.0 to 98.6), 85.7% (95% CI 80.1% to 89.9%), and 66.6% (95% CI 47.3% to 80.2%) in groups 1 to 25, 26 to 50, and 51 to 75 points, respectively (p < .01). Compared with 26 to 50 and 51 to 75 points, the annual risk of recurrence was lower in the 1 to 25 points group, at around 1% from year 1 to 5. CONCLUSIONS The ARRM tool confirmed its validity in stratifying cervical cancer into groups with significantly different disease-free survival rates in an independent large population from a tertiary center. The annual risk of recurrence should be carefully considered when tailoring follow-up, always taking into account the patient's perspective.
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Affiliation(s)
- Luigi A De Vitis
- Mayo Clinic, Department of Obstetrics and Gynecology, NY, USA; IRCCS, European Institute of Oncology, Department of Gynecologic Oncology, Milan, Italy
| | - Gabriella Schivardi
- IRCCS, European Institute of Oncology, Department of Gynecologic Oncology, Milan, Italy
| | - Aurora Gaeta
- IRCCS, European Institute of Oncology, Molecular and Pharmaco-Epidemiology Unit, Milan, Italy; University of Milano-Bicocca, Department of Statistics and Quantitative Methods, Milan, Italy
| | - Giuseppe Caruso
- IRCCS, European Institute of Oncology, Department of Gynecologic Oncology, Milan, Italy
| | - Marina Rosanu
- IRCCS, European Institute of Oncology, Department of Gynecologic Oncology, Milan, Italy
| | - Lucia Ribero
- IRCCS, European Institute of Oncology, Department of Gynecologic Oncology, Milan, Italy
| | - Diletta Fumagalli
- IRCCS, European Institute of Oncology, Department of Gynecologic Oncology, Milan, Italy
| | - Jvan Casarin
- University of Insubria, Ospedale di Circolo Fondazione Macchi, Department of Obstetrics and Gynecology, Varese, Italy
| | - Ilaria Betella
- IRCCS, European Institute of Oncology, Department of Gynecologic Oncology, Milan, Italy
| | - Giorgio Bogani
- Department of Gynecologic Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | | | - Giovanni D Aletti
- IRCCS, European Institute of Oncology, Department of Gynecologic Oncology, Milan, Italy; University of Milan, Department of Oncology and Hemato-Oncology, Milan, Italy
| | - Nicoletta Colombo
- IRCCS, European Institute of Oncology, Department of Gynecologic Oncology, Milan, Italy; University of Milano-Bicocca, Faculty of Medicine and Surgery, Milan, Italy
| | - Vanna Zanagnolo
- IRCCS, European Institute of Oncology, Department of Gynecologic Oncology, Milan, Italy
| | - Sara Gandini
- IRCCS, European Institute of Oncology, Molecular and Pharmaco-Epidemiology Unit, Milan, Italy
| | - Francesco Multinu
- IRCCS, European Institute of Oncology, Department of Gynecologic Oncology, Milan, Italy.
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3
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Wu C, Lv X, Wang F, Xu Q, Lou H, Zhang X. Predictors of distant metastasis or local recurrent after radiotherapy in patients with cervical cancer. BMC Cancer 2025; 25:364. [PMID: 40016665 PMCID: PMC11869410 DOI: 10.1186/s12885-024-13282-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Accepted: 12/02/2024] [Indexed: 03/01/2025] Open
Abstract
OBJECTIVE To evaluate risk factors for survival, recurrence and metastasis in patients with FIGO stage IA-IVA cervical cancer who underwent radical radiotherapy (RT) or concurrent chemoradiotherapy (CCRT). METHODS We performed a retrospective analysis of 1288 cervical cancer patients. Kaplan-Meier curves, Cox regression models, and log-rank tests were used for statistical analysis. RESULTS The 5-year overall survival rate for patients with stage I-II and stage III-IVA are 81.1% and 70.4%. In multivariable analysis, pathological type, 2009 FIGO stage, pre-treatment SCC-Ag level, pre-brachytherapy tumor size, and CCRT are independent influencing factors for patient OS. Patients with non-squamous cell carcinoma are more likely to occur distant metastasis compared to those with squamous cell carcinoma. No significant correlation was observed between histological types among patients with local recurrence. In patients with squamous cell carcinoma, multivariable analysis showed that SCC value > 11.75 at diagnosis was an independent predictor of distant metastasis and local recurrence (P = 0.001 and P = 0.038, respectively). Lymph node metastasis was an independent risk factor for distant metastasis. Age, treatment time of RT, CCRT, and pre-treatment Hb classification showed no significant correlation with cervical cancer distant metastasis and local recurrence. CONCLUSIONS Non-squamous cell carcinoma patients may have a worse prognosis than squamous cell carcinoma patients. In patients with squamous cell carcinoma, SCC value at diagnosis, and lymph node metastasis are independent influencing factors for distant metastasis, while SCC value at diagnosis is an independent influencing factor for local recurrence.
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Affiliation(s)
- Chufan Wu
- The Radiotherapy Department of Shanxi Provincial People's Hospital, Taiyuan, 030001, China
| | - Xiaojuan Lv
- Department of Gynecological Radiotherapy, Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China
| | - Fangfang Wang
- Department of Gynecological Radiotherapy, Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China
| | - Qing Xu
- Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Hanmei Lou
- Department of Gynecological Radiotherapy, Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China.
| | - Xiaojing Zhang
- Department of Gynecological Radiotherapy, Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China.
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Geeitha S, Prabha KPR, Cho J, Easwaramoorthy SV. Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival. Sci Rep 2024; 14:31641. [PMID: 39738223 PMCID: PMC11685496 DOI: 10.1038/s41598-024-80472-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2024] [Accepted: 11/19/2024] [Indexed: 01/01/2025] Open
Abstract
Cervical cancer is a deadly disease in women globally. There is a greater chance of getting rid of cervical cancer in case of earliest diagnosis. But for some patients, there is a chance of recurrence. The chances of treating the Recurrence of cervical carcinoma arelimited. The main objective of a research is to find the key features that will predict the cervical cancer recurrence and survival rates accurately by utilizing a neural network that is bidirectionally recurrent. The goal is to reduce risk factors of cervical cancer recurrence by identifying genes with positive coefficients and targeting them for preventive interventions. First step is identification of risk factors for cervical carcinoma recurrence by utilising clinical attributes. This research uses following Random forest, Logistic regression, Gradient boosting and support vector machine algorithms are applied for classification. Random forest offers the maximum precision of these four techniques at 91.2%. The second step is identifying long noncoding RNA (lnRNA) gene signatures among people with cervical carcinomaby implementingHSIC model. Intended to discover biomarkers in initial cervical carcinoma clinical data from people who experienced a distant repetition that could be connected to lnRNA gene signatures and utilized for forecasting survival rates using a bidirectional recurrent neural network(Bi-RNN). The results shows that Bi-RNN model effectively forecast the cervical cancer recurrence and survival.
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Affiliation(s)
- S Geeitha
- Department of Information Technology, M. Kumarasamy College of Engineering, Thalavapalayam, Karur, Tamil Nadu, India
| | - K P Rama Prabha
- School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India
| | - Jaehyuk Cho
- Department of Software Engineering & Division of Electronics and Information Engineering, Jeonbuk National University, Jeonju-si, 54896, Republic of Korea.
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Ng ZY, Manchanda R, Lopez A, Obermair A, Dostalek L, Pareja R, van Lonkhuijzen LRCW, Falconer H, Ortiz DI, Fagotti A, Ramirez PT, Landoni F, Weinberger V, Laky R, Kim SH, Klat J, Kocian R, Pari D, Borcinova M, Nemejcova K, Cibula D. The prognosis of stage IA cervical cancer: Subgroup analysis of the SCCAN study. Gynecol Oncol 2024; 191:95-99. [PMID: 39378742 DOI: 10.1016/j.ygyno.2024.09.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2024] [Revised: 09/26/2024] [Accepted: 09/29/2024] [Indexed: 10/10/2024]
Abstract
OBJECTIVE Patients with TNM T1a cervical cancer have excellent prognosis; however, the risk for recurrence remains an issue of concern and management guidelines are based on limited data. Here we performed subgroup analysis of the Surveillance in Cervical Cancer (SCCAN) consortium with the objective of defining the prognosis of T1a cervical cancer patients. METHODS SCCAN was an international, multicentric, retrospective cohort study of patients with cervical cancer undergoing surgical treatment in tertiary centers. Inclusion criteria included: histologically confirmed cervical cancer treated between 2007 and 2016; TNM T1a; primary surgical management; and at least 1-year of follow-up data availability. Exclusion criteria included treatment with primary chemo-radiation, and missing treatment-related or clinical data. RESULTS Out of 975 patients included, 554 (57 %) were T1a1 and 421 (43 %) T1a2. The majority had squamous-cell carcinoma (78 %). 79 patients (8.1 %) had lymphovascular space invasion (LVSI). 455 patients (47 %) underwent radical hysterectomy/ parametrectomy. Laparoscopic and open surgery was performed in 401 (41 %) and in 361 (37 %) patients, respectively. Adjuvant treatment was administered to 56 patients (5.7 %). Assessment of lymph nodes (LN) was performed in 524 patients (54 %), with LN involvement found in 15 (2.9 %). There were 40 (4.1 %) recurrences, occurring at a median of 26 months (4-106), out of which 33 (82.5 %) occurred in pelvis. Among T1a1 cases, there were 10 recurrences (2.0 %) if LVSI was negative, and 3 recurrences (6.7 %) if LVSI was positive. Among T1a2 cases, there were 23 recurrences (6.7 %) if LVSI was negative, and 4 recurrences (5.1 %) if LVSI was positive. There were 3 recurrences in the LN+ group (recurrence rate 20 %). CONCLUSIONS The risk of recurrence in T1a cervical cancer was 4.1 % corresponding to the rates seen in patients with FIGO 1B cancer in recently published prospective trials. LN involvement represents a risk factor for disease recurrence. Our results indicate that stage T1a cervical cancer, apart from T1a1 LVSI negative disease, should follow the same principles in the management as that of FIGO stage 1B cancer.
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Affiliation(s)
- Zheng Yuan Ng
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital (Central and Eastern European Gynecologic Oncology Group, CEEGOG), Prague, Czech Republic; Department of Gynaecological Oncology, KK Women's and Children's Hospital, Singapore
| | - Ranjit Manchanda
- Wolfson Institute of Preventive Medicine, Barts Cancer Centre, Queen Mary University of London, & Barts Health NHS Trust, London, UK
| | - Aldo Lopez
- Department of Gynecological Surgery, National Institute of Neoplastic Diseases, Lima, Peru
| | - Andreas Obermair
- Queensland Centre for Gynaecological Cancer, The University of Queensland, Brisbane, Australia
| | - Lukas Dostalek
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital (Central and Eastern European Gynecologic Oncology Group, CEEGOG), Prague, Czech Republic
| | - Rene Pareja
- Department of Gynecologic Oncology, Instituto Nacional de Cancerología, in Bogotá, Colombia
| | | | - Henrik Falconer
- Department of Pelvic Cancer, Karolinska University Hospital and Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - David Isla Ortiz
- Gynecology Oncology Center, National Institute of Cancerology Mexico, Mexico
| | - Anna Fagotti
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, UOC Ginecologia Oncologica, Dipartimento per la salute della Donna e del Bambino e della Salute Pubblica, Rome, Italy
| | - Pedro T Ramirez
- Department of Obstetrics and Gynecology, Houston Methodist Hospital, Houston, TX, USA
| | - Fabio Landoni
- University of Milano-Bicocca, Department of Obstetrics and Gynecology, Gynaecologic Oncology Surgical Unit, ASST-Monza, San Gerardo Hospital, Monza, Italy
| | - Vit Weinberger
- University Hospital Brno, Medical Faculty of Masaryk University, Czech Republic
| | - Rene Laky
- Gynecology, Medical University of Graz, Graz, Austria
| | | | - Jaroslav Klat
- Department of Obstetrics and Gynecology, Faculty of Medicine, University Hospital and University of Ostrava, Ostrava, Czech Republic
| | - Roman Kocian
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital (Central and Eastern European Gynecologic Oncology Group, CEEGOG), Prague, Czech Republic
| | - Darwin Pari
- Department of Gynecological Surgery, National Institute of Neoplastic Diseases, Lima, Peru
| | - Martina Borcinova
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital (Central and Eastern European Gynecologic Oncology Group, CEEGOG), Prague, Czech Republic
| | - Kristyna Nemejcova
- Department of Pathology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - David Cibula
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital (Central and Eastern European Gynecologic Oncology Group, CEEGOG), Prague, Czech Republic.
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Ju M, Pan B, Huang Y, Zhou Y, Chen J, Xiang H, Xu S, Chen S, Lan C, Li J, Zheng M. The efficacy of first and second immunotherapy exposure in patients with recurrent or metastatic cervical cancer. Cancer Med 2024; 13:e70204. [PMID: 39382194 PMCID: PMC11462590 DOI: 10.1002/cam4.70204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Revised: 08/02/2024] [Accepted: 08/26/2024] [Indexed: 10/10/2024] Open
Abstract
OBJECTIVE Immunotherapy has led to changes in cervical cancer guidelines. Therefore, additional biomarkers to identify the ideal patient who would experience the most benefit may be important. METHODS We retrospectively collected 208 patients with R/M CC and recorded clinicopathologic information, peripheral blood markers and treatments to analyze the prognostic factors of clinical outcomes. Response rate comparison, univariate, and multivariate analyses were performed to assess the efficacy of different factors. RESULTS A total of 43.27% patients achieved objective responses, including 18 with complete response and 72 with partial response. Patients receiving first-line immunotherapy had much higher objective response rate (ORR) than the remaining patients (53.8% vs. 34.8%, p = 0.006). CRP >3 ECOG ≥1 and recurrence in 6 months predicted shorter progression free survival (PFS). CRP >3, GLU >6.1 independently predicted unfavorable overall survival (OS). Compared with no antiangiogenic therapy, previous antiangiogenic therapy reduced the median OS by nearly 14 months. Immunotherapy rechallenge was still effective after first immunotherapy failure, and combined with dual-immunotherapy or bevacizumab combined with chemoradiotherapy resulted in a 60.00% or 62.50% ORR, respectively. Patients with squamous cell carcinoma, with stable disease or objective response in the first immunotherapy or without chemotherapy in second immunotherapy had favorable clinical outcome. CONCLUSION The baseline CRP levels in serum was an independent factor for PFS and OS of R/M CC patients treated with immunotherapy, and previous antiangiogenic therapy was associated with poor OS. Patients still show response to immunotherapy rechallenge and combined treatment with bevacizumab or candonilimab showed higher response rate than anti-PD-1 after immunotherapy failure.
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Affiliation(s)
- Mingxiu Ju
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouP.R. China
| | - Baoyue Pan
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouP.R. China
| | - Yongwen Huang
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouP.R. China
| | - Yun Zhou
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouP.R. China
| | - Jieping Chen
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouP.R. China
| | - Huiling Xiang
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouP.R. China
| | - Shije Xu
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouP.R. China
| | - Siyu Chen
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouP.R. China
| | - Chunyan Lan
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouP.R. China
| | - Jundong Li
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouP.R. China
| | - Min Zheng
- Department of Gynecology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouP.R. China
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Bernard L, Pond GR, Elit L, Vicus D, Piedimonte S, Nelson G, Aubrey C, Plante M, Teo-Fortin LA, Lau S, Kwon J, Kim SR, Altman AD, Mercier NB, Willows K, Sadeq N, Feigenberg T, Sabourin J, Samouelian V, Helpman L. Safety of vaginal surgery for early-stage cervical cancer: A retrospective multicenter cohort study. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2024; 50:108518. [PMID: 39116514 DOI: 10.1016/j.ejso.2024.108518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 06/09/2024] [Accepted: 06/26/2024] [Indexed: 08/10/2024]
Abstract
OBJECTIVE Abdominal Radical hysterectomy (ARH) with pelvic lymph node assessment is considered the standard treatment for early-stage cervical cancer. Accepted routes have previously included laparoscopic or robotic approaches (LRH). Laparoscopy-assisted vaginal or vaginal radical hysterectomy (LVRH) are performed in some centers. The objective of this study is to compare surgical and oncological outcomes of LVRH, to laparoscopic and abdominal approaches. DESIGN PATIENTS SETTING A retrospective multicenter analysis of consecutive cervical cancer cases who underwent a radical hysterectomy between 2007 and 2017 in eleven regional cancer centers across Canada. MEASUREMENTS A comparison of patients stratified by surgical technique was undertaken. T-test, Wilcoxon rank-sum and chi-square were used to compare patient characteristics. Log-rank tests and Cox proportional hazards models were employed to compare recurrence and survival across surgical groups. MAIN RESULTS A total of 1071 patients with cervical cancer stage IA1 with lymphovascular invasion to stage IIIC (FIGO 2018) <4 cm were identified. Postoperative complication rate was lowest for women undergoing LVRH (9.1 %, vs 18.3 % and 22.1 % for minimally invasive and open respectively). During follow up, 114 women recurred, and 70 women died. 5-year recurrence-free survival was 85.4 % for LRH, 89.4 % for ARH and 92.2 % for LVRH. LVRH was not found to be associated with a higher risk of recurrence or death than ARH on multivariable analysis (aHR for recurrence 0.62, CI 0.21-1.77; aHR for death 0.63, CI 0.14-2.77) CONCLUSION: In this retrospective study, vaginal or laparoscopy-assisted vaginal radical hysterectomy for cervical cancer was associated with favorable perioperative and oncological outcomes.
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Affiliation(s)
- Laurence Bernard
- McMaster University, Juravinski Cancer Center, Hamilton, Ontario, Canada.
| | - Gregory R Pond
- McMaster University, Juravinski Cancer Center, Hamilton, Ontario, Canada
| | - Laurie Elit
- McMaster University, Juravinski Cancer Center, Hamilton, Ontario, Canada
| | - Danielle Vicus
- University of Toronto, Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
| | - Sabrina Piedimonte
- University of Toronto, Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
| | | | | | | | | | - Susie Lau
- McGill University, Montreal, Quebec, Canada
| | - Janice Kwon
- University of British Columbia, Vancouver, BC, Canada
| | | | | | | | | | - Noor Sadeq
- Dalhousie University, Halifax, NS, Canada
| | - Tomer Feigenberg
- University of Toronto, Trillium Health Partners, Toronto, Ontario, Canada
| | | | - Vanessa Samouelian
- CHUM - Centre Hospitalier de l'Université de Montreal, Montreal, Quebec, Canada
| | - Limor Helpman
- McMaster University, Juravinski Cancer Center, Hamilton, Ontario, Canada; Tel Aviv University Faculty of Medicine, Tel Aviv, Israel
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8
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Liu Y, Zhang N, Yang Q. Predicting the recurrence of usual-type cervical adenocarcinoma using a nomogram based on clinical and pathological factors: a retrospective observational study. Front Oncol 2024; 14:1320265. [PMID: 38384815 PMCID: PMC10879399 DOI: 10.3389/fonc.2024.1320265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 01/16/2024] [Indexed: 02/23/2024] Open
Abstract
Background Usual-type cervical adenocarcinoma is the most frequent type of adenocarcinoma, and its prevalence is increasing worldwide. Tumor recurrence is the leading cause of mortality; therefore, recognizing the risk factors for cervical cancer recurrence and providing effective therapy for recurrent cervical cancer are critical steps in increasing patient survival rates. This study aimed to retrospectively analyze the clinicopathological data of patients with usual-type cervical adenocarcinoma by combining the diagnosis and treatment records after the initial treatment and recurrence. Methods We retrospectively analyzed patients diagnosed with usual-type cervical adenocarcinoma who underwent radical hysterectomy and pelvic lymph node dissection at Shengjing Hospital of China Medical University between June 2013 and June 2022. We constructed a nomogram-based postoperative recurrence prediction model, internally evaluated its efficacy, and performed internal validation. Results This study included 395 participants, including 87 individuals with recurrence. At a 7:3 ratio, the 395 patients were divided into two groups: a training set (n = 276) and a validation set (n = 119). The training set was subjected to univariate analysis, and the risk variables for recurrence included smoking, ovarian metastasis, International Federation of Gynaecology and Obstetrics (FIGO) staging, lymphovascular space invasion, perineural invasion, depth of muscular invasion, tumor size, lymph node metastasis, and postoperative HPV infection months. The aforementioned components were analyzed using logistic regression analysis, and the results showed that the postoperative HPV infection month, tumor size, perineural invasion, and FIGO stage were independent risk factors for postoperative recurrence (p<0.05). The aforementioned model was represented as a nomogram. The training and validation set consistency indices, calculated using the bootstrap method of internal validation, were 0.88 and 0.86, respectively. The model constructed in this study predicted the postoperative recurrence of usual-type cervical cancer, as indicated by the receiver operating characteristic curve. The model demonstrated good performance, as evidenced by the area under the curve, sensitivity, and specificity values of 0.90, 0.859, and 0.844, respectively. Conclusion Based on the FIGO staging, peripheral nerve invasion, tumor size, and months of postoperative HPV infection, the predictive model and nomogram for postoperative recurrence of usual-type cervical adenocarcinoma are precise and effective. More extensive stratified evaluations of the risk of cervical adenocarcinoma recurrence are still required, as is a thorough assessment of postoperative recurrence in the future.
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Affiliation(s)
| | | | - Qing Yang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
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9
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Schuurman TN, Schaafsma M, To KH, Verhoef VMJ, Sikorska K, Siebers AG, Wenzel HHB, Bleeker MCG, Roes EM, Zweemer RP, de Vos van Steenwijk PJ, Yigit R, Beltman JJ, Zusterzeel PLM, Lok CAR, Bekkers RLM, Mom CH, van Trommel NE. Optimising follow-up strategy based on cytology and human papillomavirus after fertility-sparing surgery for early stage cervical cancer: a nationwide, population-based, retrospective cohort study. Lancet Oncol 2023; 24:1349-1358. [PMID: 37952541 DOI: 10.1016/s1470-2045(23)00467-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 09/13/2023] [Accepted: 09/14/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND The optimal follow-up strategy to detect recurrence after fertility-sparing surgery for early stage cervical cancer is unknown. Tailored surveillance based on individual risks could contribute to improved efficiency and, subsequently, reduce costs in health care. The aim of this study was to establish the predictive value of cervical cytology and high-risk human papillomavirus (HPV) testing to detect recurrent cervical intraepithelial neoplasia grade 2 or worse (CIN2+; including recurrent cervical cancer) after fertility-sparing surgery. METHODS In this nationwide, population-based, retrospective cohort study, we used data from the Netherlands Cancer Registry and the Dutch Nationwide Pathology Databank. All patients aged 18-40 years with cervical cancer of any histology who received fertility-sparing surgery (ie, large loop excision of the transformation zone, conisation, or trachelectomy) between Jan 1, 2000, and Dec 31, 2020, were included. Pathology data from diagnosis, treatment, and during follow-up were analysed. The primary and secondary outcomes were the cumulative incidence of recurrent CIN2+ and recurrence-free survival, overall and stratified by results for cytology and high-risk HPV. FINDINGS 1548 patients were identified, of whom 1462 met the inclusion criteria. Of these included patients, 19 568 pathology reports were available. The median age at diagnosis was 31 years (IQR 30-35). After a median follow-up of 6·1 years (IQR 3·3-10·8), recurrent CIN2+ was diagnosed in 128 patients (cumulative incidence 15·0%, 95% CI 11·5-18·2), including 52 patients (cumulative incidence 5·4%, 95% CI 3·7-7·0) with recurrent cervical cancer. The overall 10-year recurrence-free survival for CIN2+ was 89·3% (95% CI 87·4-91·3). By cytology at first follow-up visit within 12 months after fertility-sparing surgery, 10-year recurrence-free survival for CIN2+ was 92·1% (90·2-94·1) in patients with normal cytology, 84·6% (77·4-92·3) in those with low-grade cytology, and 43·1% (26·4-70·2) in those with high-grade cytology. By high-risk HPV status at first follow-up visit within 12 months after surgery, 10-year recurrence-free survival for CIN2+ was 91·1% (85·3-97·3) in patients who were negative for high-risk HPV and 73·6% (58·4-92·8) in those who were positive for high-risk HPV. Cumulative incidence of recurrent CIN2+ within 6 months after any follow-up visit (6-24 months) in patients negative for high-risk HPV with normal or low-grade cytology was 0·0-0·7% and with high-grade cytology was 0·0-33·3%. Cumulative incidence of recurrence in patients positive for high-risk HPV with normal or low-grade cytology were 0·0-15·4% and with high-grade cytology were 50·0-100·0%. None of the patients who were negative for high-risk HPV without high-grade cytology, at 6 months and 12 months, developed recurrence. INTERPRETATION Patients who are negative for high-risk HPV with normal or low-grade cytology at 6-24 months after fertility-sparing surgery, could be offered a prolonged follow-up interval of 6 months. This group comprises 80% of all patients receiving fertility-sparing surgery. An interval of 12 months seems to be safe after two consecutive negative tests for high-risk HPV with an absence of high-grade cytology, which accounts for nearly 75% of all patients who receive fertility-sparing surgery. FUNDING KWF Dutch Cancer Society.
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Affiliation(s)
- Teska N Schuurman
- Department of Gynecologic Oncology, Center of Gynecologic Oncology Amsterdam, location Antoni van Leeuwenhoek, Netherlands Cancer Institute, Amsterdam, Netherlands; Department of Gynecologic Oncology, Center of Gynecologic Oncology Amsterdam, location Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Mirte Schaafsma
- Department of Gynecologic Oncology, Center of Gynecologic Oncology Amsterdam, location Antoni van Leeuwenhoek, Netherlands Cancer Institute, Amsterdam, Netherlands; Department of Pathology, Amsterdam University Medical Center, location VU University Medical Center, Amsterdam, Netherlands; Department of Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, Netherlands
| | - Kaylee H To
- Faculty of Medicine, VU Amsterdam, Amsterdam, Netherlands
| | - Viola M J Verhoef
- Department of Obstetrics and Gynecology, Maxima Medical Center, Eindhoven, Netherlands
| | - Karolina Sikorska
- Department of Biostatistics, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Albert G Siebers
- Palga, the Dutch Nationwide Pathology Databank, Houten, Netherlands
| | - Hans H B Wenzel
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, Netherlands
| | - Maaike C G Bleeker
- Department of Pathology, Amsterdam University Medical Center, location VU University Medical Center, Amsterdam, Netherlands; Department of Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, Netherlands
| | - Eva Maria Roes
- Department of Obstetrics and Gynecology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Ronald P Zweemer
- Department of Gynecologic Oncology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Peggy J de Vos van Steenwijk
- Department of Obstetrics and Gynecology, Maastricht University Medical Center and GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands
| | - Refika Yigit
- Department of Obstetrics and Gynecology, University Medical Center Groningen, Groningen, Netherlands
| | - Jogchum J Beltman
- Department of Gynecology, Leiden University Medical Center, Leiden, Netherlands
| | - Petra L M Zusterzeel
- Department of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Christianne A R Lok
- Department of Gynecologic Oncology, Center of Gynecologic Oncology Amsterdam, location Antoni van Leeuwenhoek, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Ruud L M Bekkers
- Department of Obstetrics and Gynecology, Maastricht University Medical Center and GROW-School for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands; Department of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, Netherlands; Department of Obstetrics and Gynecology, Catharina Hospital, Eindhoven, Netherlands
| | - Constantijne H Mom
- Department of Gynecologic Oncology, Center of Gynecologic Oncology Amsterdam, location Amsterdam University Medical Center, Amsterdam, Netherlands
| | - Nienke E van Trommel
- Department of Gynecologic Oncology, Center of Gynecologic Oncology Amsterdam, location Antoni van Leeuwenhoek, Netherlands Cancer Institute, Amsterdam, Netherlands.
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10
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Zhong J, Su M, Jiang Y, Huang L, Chen Y, Huang Z, Zhang X. VEGFR2 targeted microbubble-based ultrasound molecular imaging improving the diagnostic sensitivity of microinvasive cervical cancer. J Nanobiotechnology 2023; 21:220. [PMID: 37438780 DOI: 10.1186/s12951-023-01984-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 07/05/2023] [Indexed: 07/14/2023] Open
Abstract
BACKGROUND The current diagnostic methods of microinvasive cervical cancer lesions are imaging diagnosis and pathological evaluation. Pathological evaluation is invasive and imaging approaches are of extremely low diagnostic performance. There is a paucity of effective and noninvasive imaging approaches for these extremely early cervical cancer during clinical practice. In recent years, ultrasound molecular imaging (USMI) with vascular endothelial growth factor receptor type 2 (VEGFR2) targeted microbubble (MBVEGFR2) has been reported to improve the early diagnosis rates of breast cancer (including ductal carcinoma in situ), pancreatic cancer and hepatic micrometastases. Herein, we aimed to assess the feasibility of MBVEGFR2-based USMI in extremely early cervical cancer detection to provide an accurate imaging modality for microinvasive cervical cancer (International Federation of Gynecology and Obstetrics (FIGO) Stage IA1 and IA2). RESULTS We found MBVEGFR2-based USMI could successfully distinguish extremely early lesions in diameter < 3 mm from surrounding normal tissues (all P < 0.05), and the sensitivity gradually decreased along with increasing tumor diameter. Moreover, normalized intensity difference (NID) values showed a good linear correlation with microvessel density (MVD) (R2 = 0.75). In addition, all tumors could not be identified from surrounding muscles in subtracted ultrasound images when mice were administered MBCon. CONCLUSIONS Overall, MBVEGFR2-based USMI has huge potential for clinical application for the early detection of microinvasive cervical cancer (FIGO Stage IA1 and IA2), providing the foothold for future studies on the imaging screening of this patient population.
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Affiliation(s)
- Junlin Zhong
- Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, Guangdong, China
| | - Manting Su
- Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, Guangdong, China
| | - Ye Jiang
- Department of Pathology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, Guangdong, China
| | - Licong Huang
- Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, Guangdong, China
| | - Ying Chen
- Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, Guangdong, China
| | - Zhuoshan Huang
- Department of Cardiovascular Medicine, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, Guangdong, China
| | - Xinling Zhang
- Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, Guangdong, China.
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11
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Ou X, You J, Liang B, Li X, Zhou J, Wen F, Wang J, Dong Z, Zhang Y. Prognostic Factors Analysis of Metastatic Recurrence in Cervical Carcinoma Patients Treated with Definitive Radiotherapy: A Retrospective Study Using Mixture Cure Model. Cancers (Basel) 2023; 15:2913. [PMID: 37296875 PMCID: PMC10252127 DOI: 10.3390/cancers15112913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 05/16/2023] [Accepted: 05/21/2023] [Indexed: 06/12/2023] Open
Abstract
OBJECTIVES This study aims to identify prognostic factors associated with metastatic recurrence-free survival of cervical carcinoma (CC) patients treated with radical radiotherapy and assess the cure probability of radical radiotherapy from metastatic recurrence. METHODS Data were from 446 cervical carcinoma patients with radical radiotherapy for an average follow up of 3.96 years. We applied a mixture cure model to investigate the association between metastatic recurrence and prognostic factors and the association between noncure probability and factors, respectively. A nonparametric test of cure probability under the framework of a mixture cure model was used to examine the significance of cure probability of the definitive radiotherapy treatment. Propensity-score-matched (PSM) pairs were generated to reduce bias in subgroup analysis. RESULTS Patients in advanced stages (p = 0.005) and those with worse treatment responses in the 3rd month (p = 0.004) had higher metastatic recurrence rates. Nonparametric tests of the cure probability showed that 3-year cure probability from metastatic recurrence was significantly larger than 0, and 5-year cure probability was significantly larger than 0.7 but no larger than 0.8. The empirical cure probability by mixture cure model was 79.2% (95% CI: 78.6-79.9%) for the entire study population, and the overall median metastatic recurrence time for uncured patients (patients susceptible to metastatic recurrence) was 1.60 (95% CI: 1.51-1.69) years. Locally advanced/advanced stage was a risk factor but non-significant against the cure probability (OR = 1.078, p = 0.088). The interaction of age and activity of radioactive source were statistically significant in the incidence model (OR = 0.839, p = 0.025). In subgroup analysis, compared with high activity of radioactive source (HARS), low activity of radioactive source (LARS) significantly contributed to a 16.1% higher cure probability for patients greater than 53 years old, while cure probability was 12.2% lower for the younger patients. CONCLUSIONS There was statistically significant evidence in the data showing the existence of a large amount of patients cured by the definitive radiotherapy treatment. HARS is a protective factor against metastatic recurrence for uncured patients, and young patients tend to benefit more than the elderly from the HARS treatment.
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Affiliation(s)
- Xiaxian Ou
- Department of Biostatistics, School of Public Health, Peking University, Beijing 100191, China; (X.O.); (J.Z.); (J.W.)
| | - Jing You
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China; (J.Y.); (X.L.); (Z.D.); (Y.Z.)
| | - Baosheng Liang
- Department of Biostatistics, School of Public Health, Peking University, Beijing 100191, China; (X.O.); (J.Z.); (J.W.)
| | - Xiaofan Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China; (J.Y.); (X.L.); (Z.D.); (Y.Z.)
| | - Jiangjie Zhou
- Department of Biostatistics, School of Public Health, Peking University, Beijing 100191, China; (X.O.); (J.Z.); (J.W.)
| | - Fengyu Wen
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China;
| | - Jingyuan Wang
- Department of Biostatistics, School of Public Health, Peking University, Beijing 100191, China; (X.O.); (J.Z.); (J.W.)
| | - Zhengkun Dong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China; (J.Y.); (X.L.); (Z.D.); (Y.Z.)
| | - Yibao Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China; (J.Y.); (X.L.); (Z.D.); (Y.Z.)
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China;
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12
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Nakamura K, Yamashita S, Kigure K, Nishimura T, Ito I, Azuma A, Nakao K, Ando K, Kanuma T. Utility of vaginal vault cytology in the local recurrence of cervical cancer. BMC Womens Health 2023; 23:186. [PMID: 37081439 PMCID: PMC10116747 DOI: 10.1186/s12905-023-02371-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 04/17/2023] [Indexed: 04/22/2023] Open
Abstract
BACKGROUND In Japan, 8000 women were newly diagnosed with cervical cancer in 2018. The healthcare insurance policy in Japan allows physicians to utilize vaginal volt cytology tests and serum biomarker measurement at every visit and imaging analysis at an adequate interval with screening for recurrence after initial treatment. However, the major surveillance guidelines published in the United States and European countries recommend focusing on pelvic examinations and symptom reviews to avoid unnecessary tests. This study aimed to reassess the benefits of standard surveillance methods adopted in this study by retrospective analysis. METHODS From January 2009 to December 2015, the medical records of patients with recurrence who were initially diagnosed with International Federation of Gynecology and Obstetrics stage I-III cervical cancer were collected for this study. Clinicopathological data were statistically analyzed to identify significant factors. In the first 2 years, the patients underwent regular surveillance, including pelvic examination, serum tumor marker tests, vaginal vault cytology every 1-3 months, and imaging analysis at 6- to 12-month intervals. In the following 2 years, the patients received a regular check with the same methods every 4 months and an annual imaging analysis. Afterward, the patients had regular screening every 6 to 12 months. RESULTS In the study period, 84 of the 981 patients experienced recurrence, and 88.1% had an asymptomatic recurrence. The disease-free interval was not related to the recurrence site. In univariate analysis, primary treatment, recurrence site, and diagnostic method were significant factors for survival outcomes. In contrast, multivariate analysis indicated that only primary treatment was a significant factor. In patients with local recurrence, multivariate analysis demonstrated that radiation as salvage therapy was an independent predictive factor for overall survival after recurrence. CONCLUSIONS In this retrospective study, routine imaging analysis and serum biomarker measurement did not contribute to patient prognosis after recurrence. In contrast, vaginal vault cytology can improve survival after recurrence in some patients. Tailored surveillance methods based on individual disease conditions and treatment modalities can improve post-recurrent survival outcomes.
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Affiliation(s)
- Kazuto Nakamura
- Department of Gynecology, Gunma Prefectural Cancer Center, Ota, Japan.
| | - Soichi Yamashita
- Department of Gynecology, Gunma Prefectural Cancer Center, Ota, Japan
| | - Keiko Kigure
- Department of Gynecology, Gunma Prefectural Cancer Center, Ota, Japan
| | - Toshio Nishimura
- Department of Gynecology, Gunma Prefectural Cancer Center, Ota, Japan
| | - Ikuro Ito
- Department of Obstetrics and Gynecology, Takasaki General Medical Center, Takasaki, Japan
| | - Anri Azuma
- Department of Obstetrics and Gynecology, Takasaki General Medical Center, Takasaki, Japan
| | - Kohshiro Nakao
- Department of Obstetrics and Gynecology, Gunma University, Maebashi, Japan
| | - Ken Ando
- Department of Radiation Oncology, Gunma University, Maebashi, Japan
| | - Tatsuya Kanuma
- Department of Gynecology, Gunma Prefectural Cancer Center, Ota, Japan
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13
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Bergholdt SH, Hansen DG, Johnsen AT, Boman BS, Jensen PT. A NEw MOdel of individualized and patient-centered follow-up for women with gynecological cancer (the NEMO study)-protocol and rationale of a randomized clinical trial. Trials 2023; 24:74. [PMID: 36726187 PMCID: PMC9890753 DOI: 10.1186/s13063-022-07022-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 12/15/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Follow-up programs for gynecological cancer patients are currently under revision. There is limited evidence that traditional follow-up and clinical examinations improve survival in an early-stage gynecological setting. Further, traditional follow-up programs fail to accommodate the patient's need for psychosocial and sexual supportive care and to actively involve patients and their relatives in the follow-up process. Individualized programs may replace traditional routine follow-up with fixed intervals and length. Focusing on alarm-symptoms and self-reporting may ensure detection of recurrence while allowing a continuous attention to the patient's well-being and return to daily life. In this study, a nurse-led, individualized, and need-based intervention with a specific focus on patient empowerment is tested against a standard physician-led model primarily focusing on the detection of recurrence. METHODS The study is designed as a clinical, randomized trial conducted in one of four national onco-gynecological centers in Denmark. Patients with early-stage cervical or endometrial cancer are eligible for inclusion. The intervention group undergoes individualized, nurse-led follow-up supporting patient empowerment including repeated use of electronic patient-reported outcome measures (ePROMs) before each contact as a dialogue support tool. The follow-up contacts are mainly conducted by telephone. All project nurses attended a special training program before project start and are all well-educated and dedicated onco-gynecological nurses. The control group receives standard, physician-led, follow-up without use of ePROMs or specific focus on empowerment. The effect of the intervention is evaluated by questionnaires completed by patients at baseline (3 months after surgery) and 12, 18, and 36 months after surgery. Outcomes include empowerment using the Skill and technique subscale of the HEI-Q questionnaire as the primary outcome while fear of cancer recurrence and health-related quality of life as well as the remaining subscales of the HEI-Q represent secondary outcomes. Data is collected by use of the REDCap technology, which also provides a customized visual support function for the dialogue tool. DISCUSSION This study will provide new information about follow-up in early-stage gynecological cancer settings and thereby contribute to improvement of future follow-up programs. Importantly, the study will provide knowledge about the impact of specific focus on patient empowerment in follow-up programs and, further, how to facilitate empowerment among patients. TRIAL REGISTRATION The study is registered at clinicaltrials.gov: ID no. NCT03838861. Registered on 6 February 2019. Protocol version 2, issue date 21 November 2022.
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Affiliation(s)
- Stinne Holm Bergholdt
- grid.10825.3e0000 0001 0728 0170Department of Clinical Medicine, Faculty of Health Science, University of Southern Denmark, Odense, Denmark ,grid.7143.10000 0004 0512 5013Department of Gynecology and Obstetrics, Odense University Hospital, Odense, Denmark
| | - Dorte Gilsaa Hansen
- grid.7143.10000 0004 0512 5013Center for Shared Decision Making, Lillebaelt Hospital, University Hospital of Southern Denmark, Odense, Denmark ,grid.10825.3e0000 0001 0728 0170Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark ,grid.10825.3e0000 0001 0728 0170Research Unit of General Practice, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - Anna Thit Johnsen
- grid.10825.3e0000 0001 0728 0170Department of Psychology, University of Southern Denmark, Odense, Denmark ,grid.476266.7Department of Clinical Oncology and Palliative Care, Zealand University Hospital, Roskilde, Denmark
| | | | - Pernille Tine Jensen
- grid.10825.3e0000 0001 0728 0170Department of Clinical Medicine, Faculty of Health Science, University of Southern Denmark, Odense, Denmark ,grid.154185.c0000 0004 0512 597XDepartment of Gynecology and Obstetrics, Aarhus University Hospital, Aarhus, Denmark ,grid.7048.b0000 0001 1956 2722Department of Clinical Medicine, Faculty of Health, Aarhus University, Aarhus, Denmark
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14
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Zhang W, Lu N, He H, Liu H, Zhu F, Ma L, Luo Y, Qian L, Meng T, Xie C. Application of synthetic magnetic resonance imaging and DWI for evaluation of prognostic factors in cervical carcinoma: a prospective preliminary study. Br J Radiol 2023; 96:20220596. [PMID: 36341699 PMCID: PMC10997024 DOI: 10.1259/bjr.20220596] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 10/13/2022] [Accepted: 10/29/2022] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVES To determine the values of quantitative metrics derived from synthetic MRI (SyMRI) and apparent diffusion coefficient (ADC) in evaluating the prognostic factors of cervical carcinoma (CC). METHODS In this prospective study, 74 patients with pathologically confirmed CC were enrolled. Pretreatment quantitative metrics including T1, T2 and ADC values were obtained from SyMRI and diffusion-weighted imaging (DWI) sequences. The values of all metrics were compared for different prognostic features using Student's t-test or Mann-Whitney U-test. The receiver operating characteristic (ROC) curve and multivariate logistic regression analysis were utilized to evaluate the diagnostic performance of quantitative variables. RESULTS T1 and T2 values of parametrial involvement (PMI)-negative were significantly higher than those of PMI-positive (p = 0.002 and < 0.001), while ADC values did not show a significant difference. The area under curve (AUC) of T1 and T2 values for identifying PMI were 0.743 and 0.831. Only the T2 values showed a significant difference between the lymphovascular space involvement (LVSI)-negative and LVSI-positive (p < 0.001), and the AUC of T2 values for discriminating LVSI was 0.814. The differences of T1, T2, and ADC values between the well/moderately and the poorly differentiated CC were significant (all p < 0.001). The AUCs of T1, T2 and ADC values for predicting differentiation grades were 0.762, 0.830, and 0.808. The combined model of all metrics proved to achieve good diagnostic performance with the AUC of 0.866. CONCLUSION SyMRI may be a potential noninvasive tool for assessing the prognostic factors such as PMI, LVSI, and differentiation grades in CC. Moreover, the overall diagnostic performances of synthetic quantitative metrics were superior to the ADC values, especially in identifying PMI and LVSI. ADVANCES IN KNOWLEDGE This is the first study to assess the utility of SyMRI-derived parameters and ADC value in evaluating the prognostic factors in CC.
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Affiliation(s)
- Weijing Zhang
- Department of Medical imaging, Sun Yat-Sen University Cancer
Center, State Key Laboratory of Oncology in South China, Collaborative
Innovation Center for Cancer Medicine, Guangdong Key Laboratory of
Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou,
China
| | - Nian Lu
- Department of Medical imaging, Sun Yat-Sen University Cancer
Center, State Key Laboratory of Oncology in South China, Collaborative
Innovation Center for Cancer Medicine, Guangdong Key Laboratory of
Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou,
China
| | - Haoqiang He
- Department of Medical imaging, Sun Yat-Sen University Cancer
Center, State Key Laboratory of Oncology in South China, Collaborative
Innovation Center for Cancer Medicine, Guangdong Key Laboratory of
Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou,
China
| | - Huiming Liu
- Department of Medical imaging, Sun Yat-Sen University Cancer
Center, State Key Laboratory of Oncology in South China, Collaborative
Innovation Center for Cancer Medicine, Guangdong Key Laboratory of
Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou,
China
| | - Fengting Zhu
- Department of Medical imaging, Sun Yat-Sen University Cancer
Center, State Key Laboratory of Oncology in South China, Collaborative
Innovation Center for Cancer Medicine, Guangdong Key Laboratory of
Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou,
China
| | - Lidi Ma
- Department of Medical imaging, Sun Yat-Sen University Cancer
Center, State Key Laboratory of Oncology in South China, Collaborative
Innovation Center for Cancer Medicine, Guangdong Key Laboratory of
Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou,
China
| | - Yingwei Luo
- Department of Medical imaging, Sun Yat-Sen University Cancer
Center, State Key Laboratory of Oncology in South China, Collaborative
Innovation Center for Cancer Medicine, Guangdong Key Laboratory of
Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou,
China
| | - Long Qian
- Department of Biomedical Engineering, College of Engineering,
Peking University, Beijing, China
| | - Tiebao Meng
- Department of Medical imaging, Sun Yat-Sen University Cancer
Center, State Key Laboratory of Oncology in South China, Collaborative
Innovation Center for Cancer Medicine, Guangdong Key Laboratory of
Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou,
China
| | - Chuanmiao Xie
- Department of Medical imaging, Sun Yat-Sen University Cancer
Center, State Key Laboratory of Oncology in South China, Collaborative
Innovation Center for Cancer Medicine, Guangdong Key Laboratory of
Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou,
China
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15
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Li J, Liu G, Luo J, Yan S, Ye P, Wang J, Luo M. Cervical cancer prognosis and related risk factors for patients with cervical cancer: a long-term retrospective cohort study. Sci Rep 2022; 12:13994. [PMID: 35978078 PMCID: PMC9385852 DOI: 10.1038/s41598-022-17733-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 07/29/2022] [Indexed: 12/02/2022] Open
Abstract
This study aims to explore the recurrence rate and overall survival for patients with cervical cancer after the first treatment and the related risk factors. A retrospective cohort study was conducted on cervical cancer patients enrolled in a cancer specialist hospital in Hunan Province, China from January 1992 to December 2005 and followed up until December 2010. Kaplan–Meier survival analysis was used to estimate the cumulative recurrence rate, and Cox proportional hazards model was utilized to identify risk factors associated with prognosis. A total of 4358 patients were enrolled with a median follow-up of 7.4 years (range 5–19 years), and 372 (8.5%) patients had cancer recurrence. The cumulative recurrence rate showed a rapid increase from 3.8% in the first year after discharge to 8.0% in the fifth year, and the recurrence rate remained relatively stable afterward reaching 9.7% and 10.8% in the 10th and the 15th year, respectively. The median time to recurrence was 15.5 months with an IQR of 5.5–40.0 months. The Cox regression showed that miscarriage, clinical stage, and treatment received were significantly associated with cervical cancer recurrence after adjustment for confounders. Patients with recurrence showed a significantly higher risk for mortality than those without recurrence (HR 2.79, 95% CI 2.42–3.22). This study depicted the long-term recurrence rate and survival after recurrence for patients with cervical cancer after the first treatment, and reported time to recurrence and risk factors related to recurrence. These findings may provide important evidence for designing targeted interventions for the treatment of cervical cancer.
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Affiliation(s)
- Jina Li
- Xiangya School of Public Health, Central South University, No. 238 Shang Ma Yuan Ling Road, Changsha, 410008, Hunan, China
| | - Gaoming Liu
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, China
| | - Jiayou Luo
- Xiangya School of Public Health, Central South University, No. 238 Shang Ma Yuan Ling Road, Changsha, 410008, Hunan, China
| | - Shipeng Yan
- Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, China
| | - Ping Ye
- Xiangya School of Public Health, Central South University, No. 238 Shang Ma Yuan Ling Road, Changsha, 410008, Hunan, China
| | - Jie Wang
- Xiangya School of Public Health, Central South University, No. 238 Shang Ma Yuan Ling Road, Changsha, 410008, Hunan, China
| | - Miyang Luo
- Xiangya School of Public Health, Central South University, No. 238 Shang Ma Yuan Ling Road, Changsha, 410008, Hunan, China.
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16
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Ji M, Liu Y, Hu Y, Sun J, Zhu H. Comparison of recurrence patterns in cervical cancer patients with positive lymph nodes versus negative. Cancer Med 2022; 12:306-314. [PMID: 35616316 PMCID: PMC9844654 DOI: 10.1002/cam4.4860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 03/14/2022] [Accepted: 05/03/2022] [Indexed: 01/27/2023] Open
Abstract
PURPOSE The aim of this study was to compare patterns of recurrence in 2009 FIGO Stage IB-IIA (T1b N0 M0 -T2a N0 M0 ) cervical cancer patients with cN0 and cN1. METHODS The epidemiological and clinical data of 1352 patients who had undergone radical hysterectomy and systematic lymphadenectomy with cervical cancer treated from January 2008 to April 2019 at a tertiary teaching hospital were retrospectively collected. The primary aim was to discover the lymph node status-dependent patterns and time of recurrence. RESULTS Tumor recurrence and death were significantly less common in patients with cN0 than cN1. In addition, the length of time to recurrence (median 60 months cN0 vs. 43 months cN1, p < 0.001) and death (median 84 months cN0 vs. 68 months cN1 p < 0.001) were significantly longer in cN0 versus cN1 patients. The cumulative rate of relapse also showed a significant difference between cN0 and cN1 groups, especially the 1-year relapse rate (2.14% vs. 10.78%). Of the patients who recurred, there was no difference in number of recurrent sites between cN0 and cN1 groups (solitary metastases:35.8% of cN0 and 35.6% of cN1; multiple metastases: 64.2% of cN0 and 64.4% of cN1). Similarly, there was no statistical difference in recurrence sites of cervical cancer between cN0 and cN1 groups based on three categories, (p = 0.646). However, in the six categories, patients' vaginal vaults with negative lymph nodes were more prone to recurrence, while the distribution of other recurrence sites showed no significant difference between the two groups. CONCLUSIONS There is a significant improvement of relapse-free survival in the cN0 group, and the recurrence time of cN0 patients is significantly delayed than cN1 group. However, except for the risk of metastasis of the vaginal vault, the site of relapse remains similar.
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Affiliation(s)
- Mei Ji
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Yuan Liu
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Yan Hu
- Department of GynecologyThe First Affiliated Hospital of Wenzhou Medical UniversityZhejiangChina
| | - Jing Sun
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Haiyan Zhu
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of MedicineTongji UniversityShanghaiChina,Department of GynecologyThe First Affiliated Hospital of Wenzhou Medical UniversityZhejiangChina
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17
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Miccò M, Lupinelli M, Mangialardi M, Gui B, Manfredi R. Patterns of Recurrent Disease in Cervical Cancer. J Pers Med 2022; 12:755. [PMID: 35629178 PMCID: PMC9143345 DOI: 10.3390/jpm12050755] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 04/28/2022] [Accepted: 05/04/2022] [Indexed: 12/29/2022] Open
Abstract
Uterine cervical cancer is one of the most common causes of cancer-related deaths among women worldwide. Patients with cervical cancer are at a high risk of pelvic recurrence or distant metastases within the first few years after primary treatment. However, no definitive agreement exists on the best post-treatment surveillance in these patients. Imaging may represent an accurate method of detecting relapse early, right when salvage treatment could be effective. In patients with recurrent cervical cancer, the correct interpretation of imaging may support the surgeon in the proper selection of patients prior to surgery to assess the feasibility of radical surgical procedure, or may help the clinician plan the most adaptive curative therapy. MRI can accurately define the extension of local recurrence and adjacent organ invasion; CT and 18F-FDG PET/CT may depict extra-pelvic distant metastases. This review illustrates different patterns of recurrent cervical cancer and how imaging, especially MRI, accurately contributes towards the diagnosis of local recurrence and the assessment of the extent of disease in patients with previous cervical cancer. Normal post-therapy pelvic appearance and possible pitfalls related to tissue changes for prior treatments will be also illustrated.
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Affiliation(s)
- Maura Miccò
- Dipartimento Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (M.M.); (R.M.)
| | - Michela Lupinelli
- Dipartimento Universitario di Scienze Radiologiche ed Ematologiche, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; (M.L.); (M.M.)
| | - Matteo Mangialardi
- Dipartimento Universitario di Scienze Radiologiche ed Ematologiche, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; (M.L.); (M.M.)
| | - Benedetta Gui
- Dipartimento Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (M.M.); (R.M.)
| | - Riccardo Manfredi
- Dipartimento Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; (M.M.); (R.M.)
- Dipartimento Universitario di Scienze Radiologiche ed Ematologiche, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; (M.L.); (M.M.)
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18
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Cibula D, Dostálek L, Jarkovsky J, Mom CH, Lopez A, Falconer H, Scambia G, Ayhan A, Kim SH, Ortiz DI, Klat J, Obermair A, Di Martino G, Pareja R, Manchanda R, Kosťun J, dos Reis R, Meydanli MM, Odetto D, Laky R, Zapardiel I, Weinberger V, Benešová K, Borčinová M, Cardenas F, Wallin E, Anchora LP, Akilli H, Abu-Rustum NR, Muñoz SAB, Javůrková V, Fischerová D, van Lonkhuijzen LR. Post-recurrence survival in patients with cervical cancer. Gynecol Oncol 2022; 164:362-369. [PMID: 34955236 PMCID: PMC9406127 DOI: 10.1016/j.ygyno.2021.12.018] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 12/09/2021] [Accepted: 12/12/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND Up to 26% of patients with early-stage cervical cancer experience relapse after primary surgery. However, little is known about which factors influence prognosis following disease recurrence. Therefore, our aims were to determine post-recurrence disease-specific survival (PR-DSS) and to identify respective prognostic factors for PR-DSS. METHODS Data from 528 patients with early-stage cervical cancer who relapsed after primary surgery performed between 2007 and 2016 were obtained from the SCANN study (Surveillance in Cervical CANcer). Factors related to the primary disease and recurrence were combined in a multivariable Cox proportional hazards model to predict PR-DSS. RESULTS The 5-year PR-DSS was 39.1% (95% confidence interval [CI] 22.7%-44.5%), median disease-free interval between primary surgery and recurrence (DFI1) was 1.5 years, and median survival after recurrence was 2.5 years. Six significant variables were identified in the multivariable analysis and were used to construct the prognostic model. Two were related to primary treatment (largest tumour size and lymphovascular space invasion) and four to recurrence (DFI1, age at recurrence, presence of symptoms, and recurrence type). The C-statistic after 10-fold cross-validation of prognostic model reached 0.701 (95% CI 0.675-0.727). Three risk-groups with significantly differing prognoses were identified, with 5-year PR-DSS rates of 81.8%, 44.6%, and 12.7%. CONCLUSIONS We developed the robust model of PR-DSS to stratify patients with relapsed cervical cancer according to risk profiles using six routinely recorded prognostic markers. The model can be utilised in clinical practice to aid decision-making on the strategy of recurrence management, and to better inform the patients.
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Affiliation(s)
- David Cibula
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital (Central and Eastern European Gynecologic Oncology Group, CEEGOG), Prague, Czech Republic,Corresponding author: David Cibula, Gynecologic Oncology Center, Charles University and General University Hospital, Apolinarska 18, 12000 Prague, Czech Republic. Tel.: +420224967451.
| | - Lukáš Dostálek
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital (Central and Eastern European Gynecologic Oncology Group, CEEGOG), Prague, Czech Republic
| | - Jiri Jarkovsky
- Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Constantijne H. Mom
- Amsterdam University Medical Centers, Center for Gynaecologic Oncology Amsterdam, Amsterdam, The Netherlands
| | - Aldo Lopez
- Department of Gynecological Surgery, National Institute of Neoplastic Diseases, Lima, Peru
| | - Henrik Falconer
- Department of Pelvic Cancer, Karolinska University Hospital and Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden
| | - Giovanni Scambia
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, UOC Ginecologia Oncologica, Dipartimento per la salute della Donna e del Bambino e della Salute Pubblica, Rome, Italy
| | - Ali Ayhan
- Baskent University School of Medicine Department of Gynecology and Obstetrics Division of Gynecologic Oncology, Ankara, Turkey
| | | | - David Isla Ortiz
- Gynecology Oncology Center, National Institute of Cancerology Mexico, Mexico
| | - Jaroslav Klat
- Department of Obstetrics and Gynecology, Faculty of Medicine, University Hospital and University of Ostrava, Ostrava, Czech Republic
| | - Andreas Obermair
- Queensland Centre for Gynaecological Cancer; The University of Queensland, Australia
| | - Giampaolo Di Martino
- I University of Milano-Bicocca, Department of Obstetrics and Gynecology, Gynaecologic Oncology Surgical Unit, ASST-Monza, San Gerardo Hospital, Monza, Italy
| | - Rene Pareja
- Department of Gynecologic Oncology, Instituto Nacional de Cancerología, Bogotá, Colombia
| | - Ranjit Manchanda
- Wolfson Institute of Preventive Medicine, Barts Cancer Centre, Queen Mary University of London, & Barts Health NHS Trust, London, UK
| | - Jan Kosťun
- Department of Gynaecology and Obstetrics, University Hospital Pilsen, Charles University, Prague, Czech Republic
| | - Ricardo dos Reis
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Mehmet Mutlu Meydanli
- Department of Gynecologic Oncology, Zekai Tahir Burak Women’s Health and Research Hospital, University of Health Sciences, Ankara, Turkey
| | - Diego Odetto
- Department of Gynecologic Oncology, Hospital Italiano de Buenos Aires, Instituto Universitario Hospital Italiano, Buenos Aires, Argentina
| | - Rene Laky
- Gynecology, Medical University of Graz, Graz, Austria
| | - Ignacio Zapardiel
- Gynecologic Oncology Unit, La Paz University Hospital - IdiPAZ, Madrid, Spain
| | - Vit Weinberger
- University Hospital Brno, Medical Faculty of Masaryk University
| | - Klára Benešová
- Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Martina Borčinová
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital (Central and Eastern European Gynecologic Oncology Group, CEEGOG), Prague, Czech Republic
| | - Fernando Cardenas
- Department of Gynecological Surgery, National Institute of Neoplastic Diseases, Lima, Peru
| | - Emelie Wallin
- Department of Pelvic Cancer, Karolinska University Hospital and Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden
| | - Luigi Pedone Anchora
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, UOC Ginecologia Oncologica, Dipartimento per la salute della Donna e del Bambino e della Salute Pubblica, Rome, Italy
| | - Huseyin Akilli
- Baskent University School of Medicine Department of Gynecology and Obstetrics Division of Gynecologic Oncology, Ankara, Turkey
| | | | | | - Veronika Javůrková
- Department of Obstetrics and Gynecology, Faculty of Medicine, University Hospital and University of Ostrava, Ostrava, Czech Republic
| | - Daniela Fischerová
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital (Central and Eastern European Gynecologic Oncology Group, CEEGOG), Prague, Czech Republic
| | - Luc R.C.W. van Lonkhuijzen
- Amsterdam University Medical Centers, Center for Gynaecologic Oncology Amsterdam, Amsterdam, The Netherlands
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19
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Ye Z, Zhang Y, Liang Y, Lang J, Zhang X, Zang G, Yuan D, Tian G, Xiao M, Yang J. Cervical Cancer Metastasis and Recurrence Risk Prediction Based on Deep Convolutional Neural Network. Curr Bioinform 2022. [DOI: 10.2174/1574893616666210708143556] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background:
Evaluating the risk of metastasis and recurrence of a cervical cancer patient is
critical for appropriate adjuvant therapy. However, current risk assessment models usually involve the
testing of tens to thousands of genes from patients’ tissue samples, which is expensive and timeconsuming.
Therefore, computer-aided diagnosis and prognosis prediction based on Hematoxylin and Eosin
(H&E) pathological images have received much attention recently.
Objective:
The prognosis of whether patients will have metastasis and recurrence can support accurate
treatment for patients in advance and help reduce patient loss. It is also important for guiding treatment
after surgery to be able to quickly and accurately predict the risk of metastasis and recurrence of a cervical
cancer patient.
Method:
To address this problem, we propose a hybrid method. Transfer learning is used to extract features,
and it is combined with traditional machine learning in order to analyze and determine whether
patients have the risks of metastasis and recurrence. First, the proposed model retrieved relevant patches
using a color-based method from H&E pathological images, which were then subjected to image preprocessing
steps such as image normalization and color homogenization. Based on the labeled patched
images, the Xception model with good classification performance was selected, and deep features of
patched pathological images were automatically extracted with transfer learning. After that, the extracted
features were combined to train a random forest model to predict the label of a new patched image.
Finally, a majority voting method was developed to predict the metastasis and recurrence risk of a patient
based on the predictions of patched images from the whole-slide H&E image.
Results:
In our experiment, the proposed model yielded an area under the receiver operating characteristic
curve of 0.82 for the whole-slide image. The experimental results showed that the high-level features
extracted by the deep convolutional neural network from the whole-slide image can be used to predict
the risk of recurrence and metastasis after surgical resection and help identify patients who might receive
additional benefit from adjuvant therapy.
Conclusion:
This paper explored the feasibility of predicting the risk of metastasis and recurrence from
cervical cancer whole slide H&E images through deep learning and random forest methods.
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Affiliation(s)
- Zixuan Ye
- School of Computer, Hunan University of Technology, Zhuzhou Hunan 412007, China
| | | | - Yuebin Liang
- Geneis (Beijing) Co. Ltd., Beijing 100102, China
| | - Jidong Lang
- Geneis (Beijing) Co. Ltd., Beijing 100102, China
| | - Xiaoli Zhang
- School of Computer, Hunan University of Technology, Zhuzhou Hunan 412007, China
| | | | - Dawei Yuan
- Geneis (Beijing) Co. Ltd., Beijing 100102, China
| | - Geng Tian
- School of Computer, Hunan University of Technology, Zhuzhou Hunan 412007, China
- Geneis (Beijing) Co. Ltd., Beijing 100102, China
| | - Mansheng Xiao
- School of Computer, Hunan University of Technology, Zhuzhou Hunan 412007, China
| | - Jialiang Yang
- School of Computer, Hunan University of Technology, Zhuzhou Hunan 412007, China
- Geneis (Beijing) Co. Ltd., Beijing 100102, China
- Academician Workstation, Changsha
Medical University, Changsha Hunan 410219, China
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20
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de Geus V, Ewing-Graham PC, de Koning W, de Koning MNC, van den Bosch TPP, Nigg AL, van Eijck CHJ, Jozwiak M, van Beekhuizen HJ, Mustafa DAM. Identifying Molecular Changes in Early Cervical Cancer Samples of Patients That Developed Metastasis. Front Oncol 2022; 11:715077. [PMID: 35087740 PMCID: PMC8787153 DOI: 10.3389/fonc.2021.715077] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 12/17/2021] [Indexed: 11/13/2022] Open
Abstract
Cervical cancer is one of the most common cancers in women worldwide. Patients diagnosed with early-stage cervical cancer have a good prognosis, however, 10-20% suffer from local or distant recurrent disease after primary treatment. Treatment options for recurrent cervical cancer are limited. Therefore, it is crucial to identify factors that can predict patients with an increased risk of recurrence to optimize treatment to prevent the recurrence of cervical cancer. We aimed to identify biomarkers in early-stage primary cervical cancer which recurred after surgery. Formalin-Fixed, Paraffin-Embedded surgical specimens of 34 patients with early-stage cervical cancer (FIGO 2009 stage 1B1) and 7 healthy controls were analyzed. Targeted gene expression profiling using the PanCancer IO 360 panel of NanoString Technology was performed. The findings were confirmed by performing immunohistochemistry stainings. Various genes, namely GLS, CD36, WNT5a, HRAS, DDB2, PIK3R2, and CDH2 were found to be differentially highly expressed in primary cervical cancer samples of patients who developed distant recurrence. In addition, The relative infiltration score of CD8+ T cells, CD80+CD86+ macrophages, CD163+MRC1+ macrophages, and FOXP3+IL2RA+ regulatory T cells were significantly higher in this group of samples. In contrast, no significant differences in gene expression and relative immune infiltration were found in samples of patients who developed local recurrence. The infiltration of CD8 and FOXP3 cells were validated by immunohistochemistry using all samples included in the study. We identified molecular alterations in primary cervical cancer samples from patients who developed recurrent disease. These findings can be utilized towards developing a molecular signature for the early detection of patients with a high risk to develop metastasis.
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Affiliation(s)
- Vera de Geus
- Department of Gynaecologic Oncology, Erasmus MC Cancer Institute, Rotterdam, Netherlands.,Department of Pathology, Tumor Immuno-Pathology Laboratory, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands
| | | | - Willem de Koning
- Department of Pathology, Tumor Immuno-Pathology Laboratory, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands.,Department of Pathology, Clinical Bioinformatics Unit, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Maurits N C de Koning
- Department of Research & Development Services, Delft Diagnostic Laboratory (DDL) Diagnostic Laboratory, Rijswijk, Netherlands
| | | | - Alex L Nigg
- Department of Pathology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Casper H J van Eijck
- Department of Surgery, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Marta Jozwiak
- Department of Gynaecologic Oncology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | | | - Dana A M Mustafa
- Department of Pathology, Tumor Immuno-Pathology Laboratory, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands
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21
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Bogale AL, Teklehaymanot T, Ali JH, Kassie GM, Medhin G. The Recurrence of Cervical Precancerous Lesion Among HIV Positive and Negative Ethiopian Women After Cryotherapy: A Retrospective Cohort Study. Cancer Control 2022; 29:10732748221129708. [PMID: 36151596 PMCID: PMC9513568 DOI: 10.1177/10732748221129708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Background Early testing and treatment is among the successful strategies for the
prevention and control of cervical precancerous and invasive cancer, and a
paramount for women with HIV. In Ethiopia, visual inspection with acetic
acid for screening and cryotherapy treatment is commonly practiced, though
the recurrence of the precancerous lesion after treatment has not been well
documented. Objective This study was aimed to estimate the association of HIV status and the
recurrence of cervical precancerous lesion after cryotherapy among Ethiopian
women. Methods We conducted a retrospective cohort study from January to April 2021. The
time to the incidence of recurrence was compared between HIV positive and
HIV negative women. Cox regression models were used to adjust the analyses
for potential confounders, and only women treated with cryotherapy after a
positive Visual Inspection with Acetic acid (VIA) screening test were
included. Results A total of 140 eligible patient cards were included in the analysis with the
median follow-up of 15.5 months. The overall recurrence rate was 15.7%
(22/140), with a greater proportion among HIV negative women, 19.0% (4/21)
than HIV positive 15.1% (18/119). Prolonged use of corticosteroid and higher
age were the major significant predictors of a higher likelihood of
recurrence. The recurrence of screening positive lesion was higher among
women aged above 39 years (hazard ratio (HR) of 11.94 (95% CI, 1.07-133.04;
P = .04), and women with prolonged use of corticosteroid (HR = 7.82, 95% CI
= 1.04-58.75; P = .046) than their counterparts. Conclusion The recurrence of cervical precancerous lesion after cryotherapy was higher
than the expert panel report by WHO with a higher proportion among women of
old age and prolonged corticosteroid use. Cryotherapy showed a satisfying
performance against the recurrence of cervical disease diagnosed through
VIA. To substantiate, our findings, further prospective cohort study is also
recommended.
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Affiliation(s)
- Agajie Likie Bogale
- Aklilu Lemma Institute of Pathobiology, 128164Ethiopian Public Health Institute, Ethiopia.,Program of Tropical and Infectious Diseases, 37602Addis Ababa University, Ethiopia
| | | | | | | | - Girmay Medhin
- Program of Tropical and Infectious Diseases, 37602Addis Ababa University, Ethiopia
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22
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Cibula D, Dostálek L, Jarkovsky J, Mom CH, Lopez A, Falconer H, Fagotti A, Ayhan A, Kim SH, Isla Ortiz D, Klat J, Obermair A, Landoni F, Rodriguez J, Manchanda R, Kosťun J, Dos Reis R, Meydanli MM, Odetto D, Laky R, Zapardiel I, Weinberger V, Benešová K, Borčinová M, Pari D, Salehi S, Bizzarri N, Akilli H, Abu-Rustum NR, Salcedo-Hernández RA, Javůrková V, Sláma J, van Lonkhuijzen LRCW. The annual recurrence risk model for tailored surveillance strategy in patients with cervical cancer. Eur J Cancer 2021; 158:111-122. [PMID: 34666213 PMCID: PMC9406128 DOI: 10.1016/j.ejca.2021.09.008] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 08/31/2021] [Accepted: 09/09/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE Current guidelines for surveillance strategy in cervical cancer are rigid, recommending the same strategy for all survivors. The aim of this study was to develop a robust model allowing for individualised surveillance based on a patient's risk profile. METHODS Data of 4343 early-stage patients with cervical cancer treated between 2007 and 2016 were obtained from the international SCCAN (Surveillance in Cervical Cancer) consortium. The Cox proportional hazards model predicting disease-free survival (DFS) was developed and internally validated. The risk score, derived from regression coefficients of the model, stratified the cohort into significantly distinctive risk groups. On its basis, the annual recurrence risk model (ARRM) was calculated. RESULTS Five variables were included in the prognostic model: maximal pathologic tumour diameter; tumour histotype; grade; number of positive pelvic lymph nodes; and lymphovascular space invasion. Five risk groups significantly differing in prognosis were identified with a five-year DFS of 97.5%, 94.7%, 85.2% and 63.3% in increasing risk groups, whereas a two-year DFS in the highest risk group equalled 15.4%. Based on the ARRM, the annual recurrence risk in the lowest risk group was below 1% since the beginning of follow-up and declined below 1% at years three, four and >5 in the medium-risk groups. In the whole cohort, 26% of recurrences appeared at the first year of the follow-up, 48% by year two and 78% by year five. CONCLUSION The ARRM represents a potent tool for tailoring the surveillance strategy in early-stage patients with cervical cancer based on the patient's risk status and respective annual recurrence risk. It can easily be used in routine clinical settings internationally.
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Affiliation(s)
- David Cibula
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital (Central and Eastern European Gynecologic Oncology Group, CEEGOG), Prague, Czech Republic.
| | - Lukáš Dostálek
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital (Central and Eastern European Gynecologic Oncology Group, CEEGOG), Prague, Czech Republic
| | - Jiri Jarkovsky
- Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | | | - Aldo Lopez
- Department of Gynecological Surgery, National Institute of Neoplastic Diseases, Lima, Peru
| | - Henrik Falconer
- Department of Pelvic Cancer, Karolinska University Hospital and Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Anna Fagotti
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, UOC Ginecologia Oncologica, Dipartimento per la Salute della Donna e del Bambino e della Salute Pubblica, Rome, Italy
| | - Ali Ayhan
- Baskent University School of Medicine, Department of Gynecology and Obstetrics, Division of Gynecologic Oncology, Ankara, Turkey
| | | | - David Isla Ortiz
- Gynecology Oncology Center, National Institute of Cancerology Mexico, Mexico
| | - Jaroslav Klat
- Department of Obstetrics and Gynecology, Faculty of Medicine, University Hospital and University of Ostrava, Ostrava, Czech Republic
| | - Andreas Obermair
- Queensland Centre for Gynaecological Cancer, The University of Queensland, Australia
| | - Fabio Landoni
- University of Milano-Bicocca, Department of Obstetrics and Gynecology, Gynaecologic Oncology Surgical Unit, ASST-Monza, San Gerardo Hospital, Monza, Italy
| | - Juliana Rodriguez
- Department of Gynecologic Oncology, Instituto Nacional de Cancerología, Bogotá, Colombia
| | - Ranjit Manchanda
- Wolfson Institute of Preventive Medicine, Barts Cancer Centre, Queen Mary University of London, & Barts Health NHS Trust, London, UK
| | - Jan Kosťun
- Department of Gynaecology and Obstetrics, University Hospital Pilsen, Charles University, Prague, Czech Republic
| | - Ricardo Dos Reis
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Mehmet M Meydanli
- Department of Gynecologic Oncology, Zekai Tahir Burak Women's Health and Research Hospital, University of Health Sciences, Ankara, Turkey
| | - Diego Odetto
- Department of Gynecologic Oncology, Hospital Italiano de Buenos Aires, Instituto Universitario Hospital Italiano, Buenos Aires, Argentina
| | - Rene Laky
- Gynecology, Medical University of Graz, Graz, Austria
| | - Ignacio Zapardiel
- Gynecologic Oncology Unit, La Paz University Hospital - IdiPAZ, Madrid, Spain
| | - Vit Weinberger
- University Hospital Brno, Medical Faculty of Masaryk University, Czech Republic
| | - Klára Benešová
- Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Martina Borčinová
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital (Central and Eastern European Gynecologic Oncology Group, CEEGOG), Prague, Czech Republic
| | - Darwin Pari
- Department of Gynecological Surgery, National Institute of Neoplastic Diseases, Lima, Peru
| | - Sahar Salehi
- Department of Pelvic Cancer, Karolinska University Hospital and Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Nicolò Bizzarri
- Fondazione Policlinico Universitario A. Gemelli, IRCCS, UOC Ginecologia Oncologica, Dipartimento per la Salute della Donna e del Bambino e della Salute Pubblica, Rome, Italy
| | - Huseyin Akilli
- Baskent University School of Medicine, Department of Gynecology and Obstetrics, Division of Gynecologic Oncology, Ankara, Turkey
| | | | | | - Veronika Javůrková
- Department of Obstetrics and Gynecology, Faculty of Medicine, University Hospital and University of Ostrava, Ostrava, Czech Republic
| | - Jiří Sláma
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital (Central and Eastern European Gynecologic Oncology Group, CEEGOG), Prague, Czech Republic
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Schuurman T, Zilver S, Samuels S, Schats W, Amant F, van Trommel N, Lok C. Fertility-Sparing Surgery in Gynecologic Cancer: A Systematic Review. Cancers (Basel) 2021; 13:1008. [PMID: 33670929 PMCID: PMC7975326 DOI: 10.3390/cancers13051008] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 02/22/2021] [Accepted: 02/23/2021] [Indexed: 12/15/2022] Open
Abstract
Fertility-sparing surgery (FSS) is increasingly being offered to women with a gynecological malignancy who wish to preserve fertility. In this systematic review, we evaluate the best evidence currently available on oncological and reproductive outcome after FSS for early stage cervical cancer, epithelial ovarian cancer, and endometrial cancer. An extensive literature search was conducted using the electronic databases Medline (OVID), Embase, and Cochrane Library to identify eligible studies published up to December 2020. In total, 153 studies were included with 7544, 3944, and 1229 patients who underwent FSS for cervical, ovarian, and endometrial cancer, respectively. We assessed the different FSS techniques that are available to preserve fertility, i.e., omitting removal of the uterine body and preserving at least one ovary. Overall, recurrence rates after FSS are reassuring and therefore, these conservative procedures seem oncologically safe in the current selection of patients with low-stage and low-grade disease. However, generalized conclusions should be made with caution due to the methodology of available studies, i.e., mostly retrospective cohort studies with a heterogeneous patient population, inducing selection bias. Moreover, about half of patients do not pursue pregnancy despite FSS and the reasons for these decisions have not yet been well studied. International collaboration will facilitate the collection of solid evidence on FSS and the related decision-making process to optimize patient selection and counseling.
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Affiliation(s)
- Teska Schuurman
- Department of Gynecologic Oncology, Netherlands Cancer Institute, Antoni van Leeuwenhoek, 1066 CX Amsterdam, The Netherlands; (T.S.); (S.S.); (F.A.); (N.v.T.)
| | - Sanne Zilver
- Department of Gynecology, Amsterdam University Medical Center, 1105 AZ Amsterdam, The Netherlands;
| | - Sanne Samuels
- Department of Gynecologic Oncology, Netherlands Cancer Institute, Antoni van Leeuwenhoek, 1066 CX Amsterdam, The Netherlands; (T.S.); (S.S.); (F.A.); (N.v.T.)
| | - Winnie Schats
- Department of Scientific Information Service, Netherlands Cancer Institute, Antoni van Leeuwenhoek, 1066 CX Amsterdam, The Netherlands;
| | - Frédéric Amant
- Department of Gynecologic Oncology, Netherlands Cancer Institute, Antoni van Leeuwenhoek, 1066 CX Amsterdam, The Netherlands; (T.S.); (S.S.); (F.A.); (N.v.T.)
- Department of Oncology, Catholic University of Leuven, 3000 Leuven, Belgium
| | - Nienke van Trommel
- Department of Gynecologic Oncology, Netherlands Cancer Institute, Antoni van Leeuwenhoek, 1066 CX Amsterdam, The Netherlands; (T.S.); (S.S.); (F.A.); (N.v.T.)
| | - Christianne Lok
- Department of Gynecologic Oncology, Netherlands Cancer Institute, Antoni van Leeuwenhoek, 1066 CX Amsterdam, The Netherlands; (T.S.); (S.S.); (F.A.); (N.v.T.)
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24
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Kohn JR, Katebi Kashi P, Acosta-Torres S, Beavis AL, Christianson MS. Fertility-sparing Surgery for Patients with Cervical, Endometrial, and Ovarian Cancers. J Minim Invasive Gynecol 2020; 28:392-402. [PMID: 33373729 DOI: 10.1016/j.jmig.2020.12.027] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 12/21/2020] [Accepted: 12/22/2020] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Nearly 10% of the 1.3 million women living with a gynecologic cancer are aged <50 years. For these women, although their cancer treatment can be lifesaving, it's also life-altering because traditional surgical procedures can cause infertility and, in many cases, induce surgical menopause. For appropriately selected patients, fertility-sparing options can reduce the reproductive impact of lifesaving cancer treatments. This review will highlight existing recommendations as well as innovative research for fertility-sparing treatment in the 3 major gynecologic cancers. TABULATION, INTEGRATION, AND RESULTS For early-stage cervical cancers, fertility-sparing surgeries include cold knife conization, simple hysterectomy with ovarian preservation, or radical trachelectomy with placement of a permanent cerclage. In locally advanced cervical cancer, ovarian transposition before radiation therapy can help preserve ovarian function. For endometrial cancers, fertility-sparing treatment includes progestin therapy with endometrial sampling every 3 to 6 months. After cancer regression, progestin therapy can be halted to allow attempts to conceive. Hysterectomy with ovarian preservation can also be considered, allowing for fertility using assisted reproductive technology and a gestational carrier. For ovarian cancers, fertility-sparing surgery includes unilateral salpingo-oophorectomy or bilateral salpingo-oophorectomy (with lymphadenectomy and staging depending on tumor histology). With higher-risk histology or higher early-stage disease, adjuvant chemotherapy is recommended-however, this carries a 3% to 10% risk of ovarian failure. Use of oocyte or embryo cryopreservation in patients with early-stage ovarian malignancy remains an area of ongoing research. CONCLUSION Overall, fertility-sparing management of gynecologic cancers is associated with acceptable rates of progression-free survival and overall survival and is less life-altering than more radical surgical approaches.
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Affiliation(s)
- Jaden R Kohn
- Kelly Gynecologic Oncology Service (Drs. Kohn, Kashi, Acosta-Torres, and Beavis).
| | - Payam Katebi Kashi
- Kelly Gynecologic Oncology Service (Drs. Kohn, Kashi, Acosta-Torres, and Beavis)
| | | | - Anna L Beavis
- Kelly Gynecologic Oncology Service (Drs. Kohn, Kashi, Acosta-Torres, and Beavis)
| | - Mindy S Christianson
- Division of Reproductive Endocrinology and Infertility (Dr. Christianson), Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, Maryland
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Mancebo G, Solé-Sedeño JM, Membrive I, Taus A, Castells M, Serrano L, Carreras R, Miralpeix E. Gynecologic cancer surveillance in the era of SARS-CoV-2 (COVID-19). Int J Gynecol Cancer 2020; 31:914-919. [PMID: 33020205 DOI: 10.1136/ijgc-2020-001942] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 09/18/2020] [Accepted: 09/21/2020] [Indexed: 12/21/2022] Open
Abstract
The SARS-CoV-2 (COVID-19) pandemic has significantly impacted the management of patients with gynecologic cancers. Many centers have reduced access to routine visits to avoid crowded waiting areas and specially to reduce the infection risk for oncologic patients. The goal of this review is to propose a surveillance algorithm for patients with gynecologic cancers during the COVID-19 pandemic based on existing evidence and established guidelines. It is time to consider strategies based on telemedicine and to adapt protocols in this new era. We hereby propose a strategy for routine surveillance both during and beyond the pandemic.
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Affiliation(s)
- Gemma Mancebo
- Department of Obstetrics and Gynecology, Hospital del Mar, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Josep-Maria Solé-Sedeño
- Department of Obstetrics and Gynecology, Hospital del Mar, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ismael Membrive
- Department of Radiation Oncology, Hospital del Mar, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Alvaro Taus
- Department of Medical Oncology, Hospital del Mar, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marta Castells
- Department of Obstetrics and Gynecology, Hospital del Mar, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Laia Serrano
- Department of Pathology, Hospital del Mar, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ramon Carreras
- Department of Obstetrics and Gynecology, Hospital del Mar, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ester Miralpeix
- Department of Obstetrics and Gynecology, Hospital del Mar, Universitat Autònoma de Barcelona, Barcelona, Spain
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Wu Q, Wang S, Zhang S, Wang M, Ding Y, Fang J, Wu Q, Qian W, Liu Z, Sun K, Jin Y, Ma H, Tian J. Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer. JAMA Netw Open 2020; 3:e2011625. [PMID: 32706384 PMCID: PMC7382006 DOI: 10.1001/jamanetworkopen.2020.11625] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
IMPORTANCE Accurate identification of lymph node metastasis preoperatively and noninvasively in patients with cervical cancer can avoid unnecessary surgical intervention and benefit treatment planning. OBJECTIVE To develop a deep learning model using preoperative magnetic resonance imaging for prediction of lymph node metastasis in cervical cancer. DESIGN, SETTING, AND PARTICIPANTS This diagnostic study developed an end-to-end deep learning model to identify lymph node metastasis in cervical cancer using magnetic resonance imaging (MRI). A total of 894 patients with stage IB to IIB cervical cancer who underwent radical hysterectomy and pelvic lymphadenectomy were reviewed. All patients underwent radical hysterectomy and pelvic lymphadenectomy, received pelvic MRI within 2 weeks before the operations, had no concurrent cancers, and received no preoperative treatment. To achieve the optimal model, the diagnostic value of 3 MRI sequences was compared, and the outcomes in the intratumoral and peritumoral regions were explored. To mine tumor information from both image and clinicopathologic levels, a hybrid model was built and its prognostic value was assessed by Kaplan-Meier analysis. The deep learning model and hybrid model were developed on a primary cohort consisting of 338 patients (218 patients from Sun Yat-sen University Cancer Center, Guangzhou, China, between January 2011 and December 2017 and 120 patients from Henan Provincial People's Hospital, Zhengzhou, China, between December 2016 and June 2018). The models then were evaluated on an independent validation cohort consisting of 141 patients from Yunnan Cancer Hospital, Kunming, China, between January 2011 and December 2017. MAIN OUTCOMES AND MEASURES The primary diagnostic outcome was lymph node metastasis status, with the pathologic characteristics diagnosed by lymphadenectomy. The secondary primary clinical outcome was survival. The primary diagnostic outcome was assessed by receiver operating characteristic (area under the curve [AUC]) analysis; the primary clinical outcome was assessed by Kaplan-Meier survival analysis. RESULTS A total of 479 patients (mean [SD] age, 49.1 [9.7] years) fulfilled the eligibility criteria and were enrolled in the primary (n = 338) and validation (n = 141) cohorts. A total of 71 patients (21.0%) in the primary cohort and 32 patients (22.7%) in the validation cohort had lymph node metastais confirmed by lymphadenectomy. Among the 3 image sequences, the deep learning model that used both intratumoral and peritumoral regions on contrast-enhanced T1-weighted imaging showed the best performance (AUC, 0.844; 95% CI, 0.780-0.907). These results were further improved in a hybrid model that combined tumor image information mined by deep learning model and MRI-reported lymph node status (AUC, 0.933; 95% CI, 0.887-0.979). Moreover, the hybrid model was significantly associated with disease-free survival from cervical cancer (hazard ratio, 4.59; 95% CI, 2.04-10.31; P < .001). CONCLUSIONS AND RELEVANCE The findings of this study suggest that deep learning can be used as a preoperative noninvasive tool to diagnose lymph node metastasis in cervical cancer.
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Affiliation(s)
- Qingxia Wu
- College of Medicine and Biomedical Information Engineering, Northeastern University, Shenyang, Liaoning, China
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Shuo Wang
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- Beijing Advanced Innovation Center for Big Data–Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China
| | - Shuixing Zhang
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Meiyun Wang
- Department of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, Henan, China
- People's Hospital of Zhengzhou University, Zhengzhou, Henan, China
- People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Yingying Ding
- Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Kunming, Yunnan, China
| | - Jin Fang
- Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Qingxia Wu
- Department of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, Henan, China
- People's Hospital of Zhengzhou University, Zhengzhou, Henan, China
- People's Hospital of Henan University, Zhengzhou, Henan, China
| | - Wei Qian
- Department of Electrical and Computer Engineering, University of Texas at El Paso
| | - Zhenyu Liu
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Kai Sun
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi’an, Shaanxi, China
| | - Yan Jin
- Department of Radiology, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Kunming, Yunnan, China
| | - He Ma
- College of Medicine and Biomedical Information Engineering, Northeastern University, Shenyang, Liaoning, China
| | - Jie Tian
- College of Medicine and Biomedical Information Engineering, Northeastern University, Shenyang, Liaoning, China
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- Beijing Advanced Innovation Center for Big Data–Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
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Coleridge S, Morrison J. Patient-initiated follow-up after treatment for low risk endometrial cancer: a prospective audit of outcomes and cost benefits. Int J Gynecol Cancer 2020; 30:1177-1182. [DOI: 10.1136/ijgc-2020-001263] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Revised: 03/17/2020] [Accepted: 03/23/2020] [Indexed: 12/14/2022] Open
Abstract
ObjectiveRecurrence of low-risk endometrioid endometrial cancer is rare, and traditional hospital follow-up has a cost to both the patient and the healthcare system, without evidence of benefit. We examined the uptake of patient-initiated follow-up, pattern of recurrences, and survival for women following surgical treatment of low-risk endometrial cancer and compared estimated costs with hospital follow-up.MethodsThis study was a prospective audit of outcomes following implementation of a patient-initiated follow-up policy in a UK-based gynecological cancer center for women with low-risk endometrial cancer treated surgically (International Federation of Gynecology and Obstetrics (FIGO) stage 1A, G1-2) from January 2010 to December 2015. Women were identified following multidisciplinary team meetings and data were collected from the electronic cancer register, paper, and electronic clinical records. Health service costs were calculated based on standard tariffs for follow-up appointments; patient costs were estimated from mileage traveled from home postcode and parking charges. Progression-free survival and overall survival were assessed. Estimated financial costs to the health service and patients of hospital follow-up were compared with actual patient-initiated follow-up costs.ResultsA total of 129 women were offered patient-initiated follow-up (declined by four; accepted by another 11 after hospital follow-up for 6 months to 3.5 years) with median follow-up of 60.7 months (range 1.4–109.1 months). Ten women recurred: four vaginal vault recurrences (all salvaged), three pelvic recurrences (all salvaged), and three distant metastatic disease (all died). Five-year disease-specific survival was 97.3%. Ten women in the cohort died: three from endometrial cancer and seven from unrelated causes. The cost saving to the health service of patient-initiated follow-up compared with a traditional hospital follow-up regimen was £116 403 (median £988.60 per patient,range £0–£1071). Patients saved an estimated £7122 in transport and parking costs (median £57.22 per patient,range £4.98–£147.70).ConclusionPatient-initiated follow-up for low risk endometrial cancer has cost benefits to both health service and patients. Those with pelvic or vault recurrence had salvageable disease, despite patient-initiated follow-up.
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28
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Newton C, Nordin A, Rolland P, Ind T, Larsen-Disney P, Martin-Hirsch P, Beaver K, Bolton H, Peevor R, Fernandes A, Kew F, Sengupta P, Miles T, Buckley L, Manderville H, Gajjar K, Morrison J, Ledermann J, Frost J, Lawrence A, Sundar S, Fotopoulou C. British Gynaecological Cancer Society recommendations and guidance on patient-initiated follow-up (PIFU). Int J Gynecol Cancer 2020; 30:695-700. [DOI: 10.1136/ijgc-2019-001176] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2019] [Revised: 02/06/2020] [Accepted: 02/11/2020] [Indexed: 01/01/2023] Open
Abstract
The National Cancer Survivorship Initiative through the National Health Service (NHS) improvement in the UK started the implementation of stratified pathways of patient-initiated follow-up (PIFU) across various tumor types. Now the initiative is continued through the Living With and Beyond Cancer program by NHS England. Evidence from non-randomized studies and systematic reviews does not demonstrate a survival advantage to the long-established practice of hospital-based follow-up regimens, traditionally over 5 years. Evidence shows that patient needs are inadequately met under the traditional follow-up programs and there is therefore an urgent need to adapt pathways to the needs of patients. The assumption that hospital-based follow-up is able to detect cancer recurrences early and hence improve patient prognosis has not been validated. A recent survey demonstrates that follow-up practice across the UK varies widely, with telephone follow-up clinics, nurse-led clinics and PIFU becoming increasingly common. There are currently no completed randomized controlled trials in PIFU in gynecological malignancies, although there is a drive towards implementing PIFU. PIFU aims to individualize patient care, based on risk of recurrence and holistic needs, and optimizing resources. The British Gynaecological Cancer Society wishes to provide the gynecological oncology community with guidance and a recommendations statement regarding the value, indications, and limitations of PIFU in endometrial, cervical, ovarian, and vulvar cancers in an effort to standardize practice and improve patient care.
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Vistad I, Lindemann K, Bentzen AG, Dahl AA, Steen R, Kiserud C. Preferences for follow up in long-term survivors after cervical cancer. Acta Obstet Gynecol Scand 2020; 99:1253-1259. [PMID: 32232835 DOI: 10.1111/aogs.13855] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 02/21/2020] [Accepted: 03/19/2020] [Indexed: 11/28/2022]
Abstract
INTRODUCTION An increasing number of cervical cancer survivors combined with lack of data on the efficacy of long-term surveillance, challenges existing follow-up models. However, before introducing new follow-up models, cervical cancer survivors' own views on follow up are important. We aimed to explore preferences for follow up in long-term cervical cancer survivors and their associations with self-reported late-effects. MATERIAL AND METHODS In 2013, we mailed 974 Norwegian long-term cervical cancer survivors treated during 2000-2007 a questionnaire with items covering preferences for follow up after treatment, clinical variables and validated questionnaires covering anxiety, neuroticism and depression. RESULTS We included 471 cervical cancer survivors (response rate 57%) with a median follow up of 11 years. In all, 77% had FIGO stage I disease, and 35% were attending a follow-up program at the time of survey. Of the patients, 55% preferred more than 5 years of follow up. This was also preferred by 57% of cervical cancer survivors who were treated with conization only. In multivariable analyses, chemo-radiotherapy or surgery with radiation and/or chemotherapy (heavy treatment) and younger age were significantly associated with a preference for more than 5 years' follow up. Late effects were reported by more than 70% of the cervical cancer survivors who had undergone heavy treatment. CONCLUSIONS Our study reveals the need for targeted patient education about the benefits and limitations of follow up. To meet increasing costs of cancer care, individualized follow-up procedures adjusted to risk of recurrence and late-effects in cervical cancer survivors are warranted.
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Affiliation(s)
- Ingvild Vistad
- Department of Obstetrics and Gynecology, Sørlandet Hospital Kristiansand, Kristiansand, Norway.,Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Kristina Lindemann
- Department of Gynecologic Oncology, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway.,Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Anne G Bentzen
- Department of Gynecologic Oncology, University Hospital of North Norway, Tromsø, Norway
| | - Alv A Dahl
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,National Advisory Unit on Late Effects after Cancer Treatment, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway
| | - Rita Steen
- Department of Clinical Service, The Cancer Clinic, Oslo University Hospital, Oslo, Norway.,Department of Pain Management and Research, Oslo University Hospital, Oslo, Norway
| | - Cecilie Kiserud
- National Advisory Unit on Late Effects after Cancer Treatment, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway
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30
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Machida H, Iwata T, Okugawa K, Matsuo K, Saito T, Tanaka K, Morishige K, Kobayashi H, Yoshino K, Tokunaga H, Ikeda T, Shozu M, Yaegashi N, Enomoto T, Mikami M. Fertility-sparing trachelectomy for early-stage cervical cancer: A proposal of an ideal candidate. Gynecol Oncol 2019; 156:341-348. [PMID: 31767188 DOI: 10.1016/j.ygyno.2019.11.021] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 11/13/2019] [Accepted: 11/16/2019] [Indexed: 10/25/2022]
Abstract
OBJECTIVE To propose an ideal patient candidate with early-stage cervical cancer for undergoing fertility-sparing trachelectomy. METHODS This nationwide, multicenter, retrospective study was conducted by the Japan Society of Obstetrics and Gynecology involving women aged <45 years with clinical stage I-II cervical cancer who had planned fertility-sparing trachelectomy and pelvic lymphadenectomy between 2009 and 2013 (n = 393). Ideal candidates were defined to have a tumor size of ≤2 cm, no lymph node metastasis, no deep stromal invasion, and no high-risk histology (n = 284, 69.6%). Less-ideal candidates were defined to have any one of these four characteristics (n = 109, 30.4%). Propensity score inverse probability of treatment weighting was used to assess survival outcomes. RESULTS Less-ideal candidates were more likely to undergo hysterectomy conversion (22.9% versus 3.2%), receive postoperative radiotherapy (11.9% versus 0.4%), or chemotherapy (32.1% versus 3.2%) compared with ideal candidates (all, P < 0.05). The weighted model revealed that among those who underwent trachelectomy (ideal candidates, n = 275 and less-ideal candidates, n = 84), less-ideal candidates had significantly decreased disease-free survival (5-year rates: 85.5% versus 95.5%; HR 3.93, 95% CI 1.99-7.74; P < 0.001) and cause-specific survival (92.5% versus 98.6%; HR 5.47, 95% CI 1.68-17.8, P = 0.001) compared with ideal candidates. Similarly, less-ideal candidates were significantly associated with decreased disease-free survival compared with ideal candidates among those who were young age, had small tumors or squamous histology, and underwent surgery alone (all, P < 0.05). CONCLUSION Less-ideal candidates had approximately four-fold higher recurrence risk and cancer mortality compared with ideal candidates. Ideal candidates for fertility-sparing trachelectomy for early-stage cervical cancer proposed in our study may be useful as the future framework for developing guidelines for fertility-sparing trachelectomy in Japan.
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Affiliation(s)
- Hiroko Machida
- Department of Obstetrics and Gynecology, Tokai University School of Medicine, Japan
| | - Takashi Iwata
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Japan
| | - Kaoru Okugawa
- Department of Obstetrics and Gynecology, Kyushu University School of Medicine, Japan
| | - Koji Matsuo
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, USA; Norris Comprehensive Cancer Center, University of Southern California, USA
| | - Tsuyoshi Saito
- Department of Obstetrics and Gynecology, Sapporo Medical University, Japan
| | - Kyoko Tanaka
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Japan
| | - Kenichiro Morishige
- Department of Obstetrics and Gynecology, Gifu University Graduate School of Medicine, Japan
| | - Hiroaki Kobayashi
- Department of Obstetrics and Gynecology, Kagoshima University, Japan
| | - Kiyoshi Yoshino
- Department of Obstetrics and Gynecology, University of Occupational and Environmental Health, Japan
| | - Hideki Tokunaga
- Department of Obstetrics and Gynecology, Tohoku University, Japan
| | - Tomoaki Ikeda
- Department of Obstetrics and Gynecology, Mie University, Japan
| | - Makio Shozu
- Department of Obstetrics and Gynecology, Chiba University, Japan
| | - Nobuo Yaegashi
- Department of Obstetrics and Gynecology, Tohoku University, Japan
| | - Takayuki Enomoto
- Department of Obstetrics and Gynecology, Niigata University School of Medicine, Japan
| | - Mikio Mikami
- Department of Obstetrics and Gynecology, Tokai University School of Medicine, Japan.
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Chen Q, Zeng X, Huang D, Qiu X. Identification of differentially expressed miRNAs in early-stage cervical cancer with lymph node metastasis across The Cancer Genome Atlas datasets. Cancer Manag Res 2018; 10:6489-6504. [PMID: 30568508 PMCID: PMC6276827 DOI: 10.2147/cmar.s183488] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Background and aim Previous studies have suggested that lymph node metastasis (LNM) in early-stage cervical cancer (CESC) may affect the prognosis of patients and the outcomes of subsequent adjuvant therapy. However, research focused on miRNA expression in early-stage CESC patients with LNM remains limited. Therefore, it is necessary to identify prognostic miRNAs and determine their molecular mechanisms. Methods We evaluated the differentially expressed genes in early-stage CESC patients with LNM compared to patients without LNM and evaluated the prognostic significance of these differentially expressed genes by analyzing a public dataset from The Cancer Genome Atlas. Potential molecular mechanisms were investigated by gene ontology, the Kyoto Encyclopedia of Genes and Genomes, and protein–protein interaction network analyses. Results According to the The Cancer Genome Atlas data, hsa-miR-508, hsa-miR-509-2, and hsa-miR-526b expression levels were significantly lower in early-stage CESC patients with LNM than in patients without LNM. A multivariate analysis suggested that three miRNAs were prognostic factors for CESC (P<0.05). The target genes were identified to be involved in the MAPK, cAMP, PI3K/Akt, mTOR, and estrogen cancer signaling pathways. Protein–protein interaction network analysis showed that TP53, MMP1, NOTCH1, SMAD4, and NFKB1 were the most significant hub proteins. Conclusion Our results indicate that hsa-miR-508, hsa-miR-509-2, and hsa-miR-526b may be potential diagnostic biomarkers for early-stage CESC with LNM, and serve as prognostic predictors for patients with CESC.
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Affiliation(s)
- Qian Chen
- Department of Research, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Xiaoyun Zeng
- Department of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China,
| | - Dongping Huang
- Department of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China,
| | - Xiaoqiang Qiu
- Department of Epidemiology, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China,
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van der Velden J, Mom CH. Tailoring radicality in early cervical cancer: how far can we go? J Gynecol Oncol 2018; 30:e30. [PMID: 30479099 PMCID: PMC6304411 DOI: 10.3802/jgo.2019.30.e30] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 11/14/2018] [Indexed: 12/27/2022] Open
Abstract
Today, the patient who is diagnosed with early cervical cancer is offered a variety of treatments apart from standard therapy. Patients can be treated with a less radical hysterectomy (RH) regarding parametrectomy, a trachelectomy either vaginal or abdominal, and this can be performed through a minimal invasive or open procedure. All this in combination with nerve sparing and/or sentinel node technique. Level 1 evidence for the oncological safety of all these modifications is only available from 3 randomized controlled trials (RCTs). Two RCTs on more or less radical parametrectomy both showed that oncological safety was not compromised by doing less radical surgery. Because of the heterogeneity of the patient population and the high frequency of adjuvant radiotherapy, the true impact of surgical radicality cannot be assessed. Regarding the issue of oncological safety of fertility sparing treatments, case-control and retrospective case series suggest that trachelectomy is safe as long as the tumor diameter does not exceed 2 cm. Recently, both a RCT and 2 case-control studies showed a survival benefit for open surgery compared to minimally invasive surgery, whereas many previous case-control and retrospective case series on this subject did not show impaired oncological safety. In a case-control study the survival benefit for open surgery was restricted to the group of patients with a tumor diameter more than 2 cm. Although modifications of the traditional open RH seem safe for tumors with a diameter less than 2 cm, ongoing prospective RCTs and observational studies should give the final answer.
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Affiliation(s)
- Jacobus van der Velden
- Department of Gynecologic Oncology, Amsterdam University Medical Center, Amsterdam, The Netherlands.
| | - Constantijne H Mom
- Department of Gynecologic Oncology, Amsterdam University Medical Center, Amsterdam, The Netherlands
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