1
|
Kim SJ, Tworoger SS, Rosen BP, McLaughlin JR, Risch HA, Narod SA, Kotsopoulos J. Impact of Pre-Diagnostic Risk Factors on Short- and Long-Term Ovarian Cancer Survival Trajectories: A Longitudinal Observational Study. Cancers (Basel) 2024; 16:972. [PMID: 38473333 PMCID: PMC11154316 DOI: 10.3390/cancers16050972] [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: 12/28/2023] [Revised: 02/18/2024] [Accepted: 02/20/2024] [Indexed: 03/14/2024] Open
Abstract
Tumor- and treatment-related factors are established predictors of ovarian cancer survival. New studies suggest a differential impact of exposures on ovarian cancer survival trajectories (i.e., rapidly fatal to long-term disease). This study examined the impact of pre-diagnostic risk factors on short- and long-term ovarian cancer survival trajectories in the Canadian context. This population-based longitudinal observational study included women diagnosed with invasive epithelial ovarian cancer from 1995 to 2004 in Ontario. Data were obtained from medical records, interviews, and the provincial cancer registry. Extended Cox proportional hazard models estimated the association between risk factors and all-cause and ovarian cancer-specific mortality by survival time intervals (<3 years (i.e., short-term survival), 3 to <6 years, 6 to <10 years, and ≥10 years (i.e., long-term survival)). Among 1421 women, histology, stage, and residual disease were the most important predictors of all-cause mortality in all survival trajectories, particularly for short-term survival. Reproductive and lifestyle factors did not strongly impact short-term overall survival but were associated with long-term overall survival. As such, among long-term survivors, history of breastfeeding significantly decreased the risk of all-cause mortality (HR 0.65; 95% CI 0.46, 0.93; p < 0.05), whereas smoking history (HR 1.75; 95% CI 1.27, 2.40; p < 0.05) and obesity (HR 1.81; 95% CI 1.24, 2.65; p < 0.05) significantly increased the risk of all-cause mortality. The findings were consistent with ovarian cancer-specific mortality. These findings suggest that pre-diagnostic exposures differentially influence survival time following a diagnosis of ovarian cancer.
Collapse
Affiliation(s)
- Shana J. Kim
- Women’s College Research Institute, Women’s College Hospital, Toronto, ON M5S 1B2, Canada; (S.J.K.); (S.A.N.)
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada
| | - Shelley S. Tworoger
- Division of Oncological Sciences, Knight Cancer Institute, Oregon Health and Sciences, Portland, OR 97201, USA;
| | - Barry P. Rosen
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C4, Canada;
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Toronto, Toronto, ON M5G 1E2, Canada
| | - John R. McLaughlin
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada;
- Public Health Ontario, Toronto, ON M5G 1M1, Canada
| | - Harvey A. Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT 06520, USA;
| | - Steven A. Narod
- Women’s College Research Institute, Women’s College Hospital, Toronto, ON M5S 1B2, Canada; (S.J.K.); (S.A.N.)
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada
| | - Joanne Kotsopoulos
- Women’s College Research Institute, Women’s College Hospital, Toronto, ON M5S 1B2, Canada; (S.J.K.); (S.A.N.)
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada
| |
Collapse
|
2
|
Szamreta EA, Monberg MJ, Desai KD, Li Y, Othus M. Prognosis and conditional survival among women with newly diagnosed ovarian cancer. Gynecol Oncol 2024; 180:170-177. [PMID: 38211405 DOI: 10.1016/j.ygyno.2023.11.018] [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: 04/21/2023] [Revised: 10/31/2023] [Accepted: 11/16/2023] [Indexed: 01/13/2024]
Abstract
OBJECTIVE An important question in determining long-term prognosis for women with ovarian cancer is whether risk of death changes the longer a woman lives. Large real-world datasets permit assessment of conditional survival (CS) given both prior overall survival (OS) and real-world progression-free survival (rwPFS). METHODS Using a longitudinal dataset from US oncology centers, this study included 6778 women with ovarian cancer. We calculated CS rates as the Kaplan-Meier probability of surviving an additional 1 or 5 years, given no mortality (OS) or disease progression (rwPFS) event in the previous 0.5-5 years since first-line chemotherapy initiation, adjusted for factors associated with OS based on multivariable Cox regression. RESULTS Median study follow-up was 9 years (range, 1-44) from first-line initiation to data cutoff (17-Feb-2021). Median OS was 58.0 months (95% CI, 54.9-60.8); median rwPFS was 18.4 months (17.4-19.4). The adjusted 1-year CS rate (ie, rate of 1 year additional survival) did not vary based on time alive, whereas the adjusted 5-year CS rate increased from 48.5% (47.0%-50.1%) for women who had already survived 6 months to 66.4% (63.3%-69.6%) for those already surviving 5 years (thus surviving 10 years total). The adjusted 1-year CS rate increased from 90.4% (89.5%-91.4%) with no rwPFS event at 6 months to 97.6% (96.4%-98.8%) with no rwPFS event at 5 years; adjusted 5-year CS rate increased from 53.7% (52.0%-55.5%) to 85.0% (81.2%-88.9%), respectively. CONCLUSIONS This analysis extends the concept of CS by also conditioning on time progression-free. Patients with longer rwPFS experience longer survival than patients with shorter rwPFS.
Collapse
Affiliation(s)
- Elizabeth A Szamreta
- Center for Observational & Real-World Evidence (CORE), Merck & Co., Inc., 126 East Lincoln Avenue, Rahway, NJ 07065, USA.
| | - Matthew J Monberg
- Center for Observational & Real-World Evidence (CORE), Merck & Co., Inc., 126 East Lincoln Avenue, Rahway, NJ 07065, USA.
| | - Kaushal D Desai
- Center for Observational & Real-World Evidence (CORE), Merck & Co., Inc., 126 East Lincoln Avenue, Rahway, NJ 07065, USA.
| | - Yeran Li
- Center for Observational & Real-World Evidence (CORE), Merck & Co., Inc., 126 East Lincoln Avenue, Rahway, NJ 07065, USA.
| | - Megan Othus
- Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA 98109, USA.
| |
Collapse
|
3
|
Mistretta FA, Luzzago S, Alessi S, Piccinelli M, Marvaso G, Giudice AL, Nizzardo M, Cozzi G, Fontana M, Corrao G, Ferro M, Tian Z, Karakiewicz PI, Jereczek-Fossa BA, Petralia G, de Cobelli O, Musi G. Conditional survival of patients with low-risk prostate cancer: Temporal changes in active surveillance permanence over time. Urol Oncol 2023; 41:323.e1-323.e8. [PMID: 37211449 DOI: 10.1016/j.urolonc.2023.03.006] [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: 09/26/2022] [Revised: 03/05/2023] [Accepted: 03/14/2023] [Indexed: 05/23/2023]
Abstract
PURPOSE To determine risk categories for patients with prostate cancer (PCa) in active surveillance (AS) and to test the conditional survival (CS) that examined the effect of event-free survival since AS-entrance. MATERIALS AND METHODS From January 2012 to December 2020 we analyzed 606 patients with PCa enrolled in our AS program. Kaplan-Meier (KM) plots depicted AS-exit rate. Multivariable Cox regression models (MCRMs) tested for AS-exit rate independent predictors to determine risk categories. CS estimates were used to calculate overall AS-exit rate after event-free survival intervals of 1, 2, 3, and 5 years, and after stratification according to risk categories. RESULTS At MCRMs PSAd ≥ 0.15 (HR: 1.43; P-value 0.04), PI-RADS 4-5 (HR: 2.56; P-value <0.001) and number of biopsy positive cores ≥ 2 (HR: 1.75; P-value <0.001) were independent predictors of AS-exit. These variables were used to determine risk categories: low-, intermediate- and high-risk. Overall, according to CS-analyses, 5-year AS-exit free rate increased from 59.7% at baseline, to 67.3%, 74.7%, and 89.4% in patients who remained in AS respectively ≥1, ≥2, ≥3 and ≥5 years. After stratification according to risk categories, in those patients who remained in AS ≥ 5 years, 5-year AS-exit free rates increased from 76.3% to 100% in patients with a low-risk, from 62.7% to 83.7% in patients with an intermediate-risk and from 42.3% to 87.5% in patients with a high-risk. CONCLUSIONS CS models showed a direct relationship between event-free survival duration and subsequent AS permanence in overall PCa patients and after stratification according to risk categories.
Collapse
Affiliation(s)
- Francesco A Mistretta
- Department of Urology, European Institute of Oncology (IEO) IRCCS, Milan, Italy; Department of Oncology and Hematology-Oncology, University of Milan, Milan, Italy.
| | - Stefano Luzzago
- Department of Urology, European Institute of Oncology (IEO) IRCCS, Milan, Italy; Department of Oncology and Hematology-Oncology, University of Milan, Milan, Italy
| | - Sarah Alessi
- Department of Radiology, European Institute of Oncology (IEO) IRCCS, Milan, Italy
| | - Mattia Piccinelli
- Department of Urology, European Institute of Oncology (IEO) IRCCS, Milan, Italy
| | - Giulia Marvaso
- Department of Oncology and Hematology-Oncology, University of Milan, Milan, Italy; Department of Radiotherapy, European Institute of Oncology (IEO) IRCCS, Milan, Italy
| | - Arturo Lo Giudice
- Department of Urology, European Institute of Oncology (IEO) IRCCS, Milan, Italy
| | - Marco Nizzardo
- Department of Urology, European Institute of Oncology (IEO) IRCCS, Milan, Italy
| | - Gabriele Cozzi
- Department of Urology, European Institute of Oncology (IEO) IRCCS, Milan, Italy
| | - Matteo Fontana
- Department of Urology, European Institute of Oncology (IEO) IRCCS, Milan, Italy
| | - Giulia Corrao
- Department of Radiotherapy, European Institute of Oncology (IEO) IRCCS, Milan, Italy
| | - Matteo Ferro
- Department of Urology, European Institute of Oncology (IEO) IRCCS, Milan, Italy
| | - Zhe Tian
- Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Québec, Canada
| | - Pierre I Karakiewicz
- Cancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Québec, Canada; Division of Urology, University of Montreal Hospital Center (CHUM), Montreal, Quebec, Canada
| | - Barbara A Jereczek-Fossa
- Department of Oncology and Hematology-Oncology, University of Milan, Milan, Italy; Department of Radiotherapy, European Institute of Oncology (IEO) IRCCS, Milan, Italy
| | - Giuseppe Petralia
- Department of Oncology and Hematology-Oncology, University of Milan, Milan, Italy; Precision Imaging and Research Unit, Department of Medical Imaging and Radiation Sciences, European Institute of Oncology (IEO) IRCCS, Milan, Italy
| | - Ottavio de Cobelli
- Department of Urology, European Institute of Oncology (IEO) IRCCS, Milan, Italy; Department of Oncology and Hematology-Oncology, University of Milan, Milan, Italy
| | - Gennaro Musi
- Department of Urology, European Institute of Oncology (IEO) IRCCS, Milan, Italy; Department of Oncology and Hematology-Oncology, University of Milan, Milan, Italy
| |
Collapse
|
4
|
Sznurkowski JJ. To Bev or Not to Bev during Ovarian Cancer Maintenance Therapy? Cancers (Basel) 2023; 15:cancers15112980. [PMID: 37296941 DOI: 10.3390/cancers15112980] [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: 04/05/2023] [Revised: 05/26/2023] [Accepted: 05/28/2023] [Indexed: 06/12/2023] Open
Abstract
BACKGROUND Maintenance therapy with PARP inhibitors and bevacizumab is approved for ovarian cancer treatment in the first and second line settings, but selecting the optimal sequence is challenging due to restrictions on using the same medication twice. This review aims to establish guidelines for ovarian cancer maintenance therapy based on the strength of scientific evidence, the most effective treatment strategy, and the impact on the healthcare system. METHODS Six questions were formulated to evaluate the scientific evidence supporting different maintenance therapy options using the AGREE II guideline evaluation tool. The questions address the acceptability of reusing the same medication, the efficacy of bevacizumab and PARP inhibitors in the first and second line settings, the comparative efficacy of these medications, the potential benefit of combination maintenance therapy, and the economic impact of maintenance therapy. RESULTS Based on the available evidence, bevacizumab should be preserved for second line maintenance therapy, and maintenance therapy with PARP inhibitors should be offered to all advanced ovarian cancer patients who have responded to first line platinum-based chemotherapy. Additional molecular predictors for bevacizumab efficacy are needed. CONCLUSIONS The presented guidelines offer an evidence-based framework for selecting the most effective maintenance therapy for ovarian cancer patients. Further research is necessary to refine these recommendations and improve outcomes for patients with this disease.
Collapse
|
5
|
Chen H, Badellino S, Biswas T, Dagan R, Erler D, Foote M, Poon I, Redmond KJ, Ricardi U, Sahgal A, Louie AV. Conditional Survival of Extracranial Oligometastatic Patients Treated with Stereotactic Body Radiation Therapy (SBRT): An International Consortium Study. Int J Radiat Oncol Biol Phys 2022; 114:902-909. [PMID: 35753554 DOI: 10.1016/j.ijrobp.2022.06.073] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 05/19/2022] [Accepted: 06/13/2022] [Indexed: 11/17/2022]
Abstract
INTRODUCTION Prolonged survivorship is increasingly observed in patients with oligometastases (OM) treated with stereotactic body radiation therapy (SBRT). The purpose of this study was to study the conditional survival of OM patients, which can provide more detailed prognostic information over time by considering time already survived. METHODS A multi-institutional database consisting of 1,033 patients with OM (≤ 5 metastases) treated with SBRT between 2006 and 2017 was analyzed. Conditional overall survival (OS) and progression-free survival (PFS) in 3 years were obtained at multiple time points for all patients as well as by primary cancer type. Cox regression was used to determine trends in conditional OS/PFS. Changes in the predictors of OS and PFS over time were also determined by multivariable Cox regression. RESULTS Median follow-up was 24 months (0.3-105 months). Three-year OS and PFS at baseline were 56.7% and 23.2%, respectively. OS in 3 years conditional on having survived for 3, 6, 12, and 24 months did not significantly change over time (56.7%, 55.4%, 55.8% and 50.6%, respectively; p = 0.60). In contrast, PFS probability in 3 years conditional on having survived progression-free for 3, 6, 12 and 24 months significant increased over time (23.6%, 27.3%, 35.1% and 48.8%, respectively; p < 0.001). When stratified by primary site, conditional PFS significantly increased over time for patients with colorectal, breast and kidney cancer patients. Conditional OS remained stable for non-small cell lung cancer and kidney cancer patients but significantly decreased over time for prostate, breast and colorectal cancer patients. Changes in significant prognostic factors of OS and PFS over time were also observed. CONCLUSION Conditional survival analysis of OM patients showed that as patients survived longer, their prognosis for further survival remained stable or decreased. However, those patients that survived longer without disease progression could expect increased PFS over time.
Collapse
Affiliation(s)
- Hanbo Chen
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Ontario, Canada.
| | | | - Tithi Biswas
- Department of Radiation Oncology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio
| | - Roi Dagan
- Department of Radiation Oncology, University of Florida, Jacksonville, Florida
| | - Darby Erler
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Ontario, Canada
| | - Matthew Foote
- Department of Radiation Oncology, Princess Alexandra Hospital, University of Queensland, Woolloongabba, Queensland, Australia
| | - Ian Poon
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Ontario, Canada
| | - Kristin J Redmond
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland
| | | | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Ontario, Canada
| | - Alexander V Louie
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, Ontario, Canada
| |
Collapse
|
6
|
Motzer RJ, McDermott DF, Escudier B, Burotto M, Choueiri TK, Hammers HJ, Barthélémy P, Plimack ER, Porta C, George S, Powles T, Donskov F, Gurney H, Kollmannsberger CK, Grimm MO, Barrios C, Tomita Y, Castellano D, Grünwald V, Rini BI, McHenry MB, Lee CW, McCarthy J, Ejzykowicz F, Tannir NM. Conditional survival and long-term efficacy with nivolumab plus ipilimumab versus sunitinib in patients with advanced renal cell carcinoma. Cancer 2022; 128:2085-2097. [PMID: 35383908 PMCID: PMC9543316 DOI: 10.1002/cncr.34180] [Citation(s) in RCA: 144] [Impact Index Per Article: 72.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 01/11/2022] [Accepted: 01/13/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Conditional survival estimates provide critical prognostic information for patients with advanced renal cell carcinoma (aRCC). Efficacy, safety, and conditional survival outcomes were assessed in CheckMate 214 (ClinicalTrials.gov identifier NCT02231749) with a minimum follow-up of 5 years. METHODS Patients with untreated aRCC were randomized to receive nivolumab (NIVO) (3 mg/kg) plus ipilimumab (IPI) (1 mg/kg) every 3 weeks for 4 cycles, then either NIVO monotherapy or sunitinib (SUN) (50 mg) daily (four 6-week cycles). Efficacy was assessed in intent-to-treat, International Metastatic Renal Cell Carcinoma Database Consortium intermediate-risk/poor-risk, and favorable-risk populations. Conditional survival outcomes (the probability of remaining alive, progression free, or in response 2 years beyond a specified landmark) were analyzed. RESULTS The median follow-up was 67.7 months; overall survival (median, 55.7 vs 38.4 months; hazard ratio, 0.72), progression-free survival (median, 12.3 vs 12.3 months; hazard ratio, 0.86), and objective response (39.3% vs 32.4%) benefits were maintained with NIVO+IPI versus SUN, respectively, in intent-to-treat patients (N = 550 vs 546). Point estimates for 2-year conditional overall survival beyond the 3-year landmark were higher with NIVO+IPI versus SUN (intent-to-treat patients, 81% vs 72%; intermediate-risk/poor-risk patients, 79% vs 72%; favorable-risk patients, 85% vs 72%). Conditional progression-free survival and response point estimates were also higher beyond 3 years with NIVO+IPI. Point estimates for conditional overall survival were higher or remained steady at each subsequent year of survival with NIVO+IPI in patients stratified by tumor programmed death ligand 1 expression, grade ≥3 immune-mediated adverse event experience, body mass index, and age. CONCLUSIONS Durable clinical benefits were observed with NIVO+IPI versus SUN at 5 years, the longest phase 3 follow-up for a first-line checkpoint inhibitor-based combination in patients with aRCC. Conditional estimates indicate that most patients who remained alive or in response with NIVO+IPI at 3 years remained so at 5 years.
Collapse
Affiliation(s)
- Robert J Motzer
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - David F McDermott
- Division of Medical Oncology, Beth Israel Deaconess Medical Center, Dana-Farber/Harvard Cancer Center, Boston, Massachusetts
| | - Bernard Escudier
- Department of Medical Oncology, Gustave Roussy, Villejuif, France
| | | | - Toni K Choueiri
- Department of Medical Oncology, Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts
| | - Hans J Hammers
- Department of Medical Oncology, University of Texas Southwestern Kidney Cancer Program, Dallas, Texas
| | | | - Elizabeth R Plimack
- Department of Hematology and Oncology, Fox Chase Cancer Center, Philadelphia, Pennsylvania
| | - Camillo Porta
- Department of Internal Medicine, University of Pavia, Pavia, Italy
| | - Saby George
- Department of Medicine, Roswell Park Cancer Institute, Buffalo, New York
| | - Thomas Powles
- Department of Genitourinary Oncology, Barts Cancer Institute, Cancer Research UK Experimental Cancer Medicine Center, Queen Mary University of London, Royal Free National Health Service Trust, London, United Kingdom
| | - Frede Donskov
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Howard Gurney
- Department of Medical Oncology, Westmead Hospital and Macquarie University, Sydney, New South Wales, Australia
| | | | | | - Carlos Barrios
- Oncology Research Unit, Saint Luke Hospital, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Yoshihiko Tomita
- Departments of Urology and Molecular Oncology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Daniel Castellano
- Medical Oncology Department, October 12th University Hospital, Cancer Network Biomedical Research Center, Madrid, Spain
| | - Viktor Grünwald
- Interdisciplinary Genitourinary Oncology, West German Cancer Center Clinic for Internal Medicine and Clinic for Urology, University Hospital Essen, Essen, Germany
| | - Brian I Rini
- Division of Hematology and Oncology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - M Brent McHenry
- Department of Biostatistics, Bristol Myers Squibb, Princeton, New Jersey
| | - Chung-Wei Lee
- Department of Clinical Trials, Bristol Myers Squibb, Princeton, New Jersey
| | - Jennifer McCarthy
- Department of Clinical Scientists, Bristol Myers Squibb, Princeton, New Jersey
| | - Flavia Ejzykowicz
- Department of Health Economics and Outcomes Research, Bristol Myers Squibb, Princeton, New Jersey
| | - Nizar M Tannir
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| |
Collapse
|
7
|
Fan Y, Wang J, Fang Z, Pierce SR, West L, Staley A, Tucker K, Yin Y, Sun W, Kong W, Prabhu V, Allen JE, Zhou C, Bae-Jump VL. Anti-Tumor and Anti-Invasive Effects of ONC201 on Ovarian Cancer Cells and a Transgenic Mouse Model of Serous Ovarian Cancer. Front Oncol 2022; 12:789450. [PMID: 35372029 PMCID: PMC8970020 DOI: 10.3389/fonc.2022.789450] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 02/22/2022] [Indexed: 12/26/2022] Open
Abstract
ONC201 is a promising first-in-class small molecule that has been reported to have anti-neoplastic activity in various types of cancer through activation of tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) as well as activation of mitochondrial caseinolytic protease P (ClpP). The present study was to explore the anti-tumor potential effect of ONC201 in ovarian cancer cell lines and in a transgenic mouse model of high grade serous ovarian cancer under obese (high fat diet) and lean (low fat diet) conditions. ONC201 significantly suppressed cell proliferation, induced arrest in G1 phase, and increased cellular stress and apoptosis, accompanied by dual inhibition of the AKT/mTOR/S6 and MAPK pathways in OC cells. ONC201 also resulted in inhibition of adhesion and invasion via epithelial–mesenchymal transition and reduction of VEGF expression. Pre-treatment with the anti-oxidant, N-acetylcysteine (NAC), reversed the ONC201-induced oxidative stress response, and prevented ONC201-reduced VEGF and cell invasion by regulating epithelial–mesenchymal transition protein expression. Knockdown of ClpP in ovarian cancer cells reduced ONC201 mediated the anti-tumor activity and cellular stress. Diet-induced obesity accelerated ovarian tumor growth in the KpB mouse model. ONC201 significantly suppressed tumor growth, and decreased serum VEGF production in obese and lean mice, leading to a decrease in tumoral expression of Ki-67, VEGF and phosphorylation of p42/44 and S6 and an increase in ClpP and DRD5, as assessed by immunohistochemistry. These results suggest that ONC201 may be a promising therapeutic agent to be explored in future clinical trials in high-grade serous ovarian cancer.
Collapse
Affiliation(s)
- Yali Fan
- Department of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
- Division of Gynecologic Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Jiandong Wang
- Department of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Ziwei Fang
- Department of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
- Division of Gynecologic Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Stuart R. Pierce
- Division of Gynecologic Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Lindsay West
- Division of Gynecologic Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Allison Staley
- Division of Gynecologic Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Katherine Tucker
- Division of Gynecologic Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Yajie Yin
- Division of Gynecologic Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Wenchuan Sun
- Division of Gynecologic Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Weimin Kong
- Department of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | | | | | - Chunxiao Zhou
- Division of Gynecologic Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- *Correspondence: Victoria L. Bae-Jump, ; Chunxiao Zhou,
| | - Victoria L. Bae-Jump
- Division of Gynecologic Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- *Correspondence: Victoria L. Bae-Jump, ; Chunxiao Zhou,
| |
Collapse
|
8
|
Meixner E, Eichkorn T, Erdem S, König L, Lang K, Lischalk JW, Michel LL, Schneeweiss A, Smetanay K, Debus J, Hörner-Rieber J. Stereotactic radiosurgery for brain metastases from pelvic gynecological malignancies: oncologic outcomes, validation of prognostic scores, and dosimetric evaluation. Int J Gynecol Cancer 2021; 32:172-180. [PMID: 34848530 DOI: 10.1136/ijgc-2021-002906] [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: 06/30/2021] [Accepted: 11/18/2021] [Indexed: 11/03/2022] Open
Abstract
INTRODUCTION Stereotactic radiosurgery is a well-established treatment option in the management of brain metastases. Multiple prognostic scores for prediction of survival following radiotherapy exist, but are not disease-specific or validated for radiosurgery in women with primary pelvic gynecologic malignancies metastatic to the brain. The aim of the present study is to evaluate the feasibility, safety, outcomes, and impact of established prognostic scores. METHODS We retrospectively identified 52 patients treated with radiotherapy for brain metastases between 2008 and 2021. Stereotactic radiosurgery was utilized in 31 patients for an overall number of 75 lesions; the remaining 21 patients received whole-brain radiotherapy. Kaplan-Meier survival analysis and the log-rank test were used to calculate and compare survival curves and univariate and multivariate Cox regression to assess the influence of cofactors on recurrence, local control, and prognosis. RESULTS With a median follow-up of 10.7 months, overall survival rates post radiosurgery were 65.3%, 51.3%, and 27.7% for 1, 2, and 5 years, respectively, which were significantly higher than post whole-brain radiotherapy (p=0.049). Five local failures (6.7%) were detected, resulting in 1 and 2 year local cerebral control rates of 97.4% and 94.0%, respectively. Univariate factors for prediction of superior overall survival were high performance status (p=0.030) and application of three prognostic scores, especially the Recursive Partitioning Analysis score (p=0.028). Uni- and multivariate analysis revealed that extracranial progression prior to radiosurgery was significant for inferior overall survival (p<0.0001). Radionecrosis was diagnosed in five women (16%); long-term neurotoxicity was significantly worse after whole-brain radiotherapy compared with radiosurgery (p=0.023). CONCLUSION Stereotactic radiosurgery for brain metastases from pelvic gynecologic malignancies appears to be safe and well tolerated, achieving promising local cerebral control. Prognostic scores were shown to be transferable and radiosurgery should be recommended as primary intracranial treatment, especially in women with no prior extracranial progression and Recursive Partitioning Analysis class I.
Collapse
Affiliation(s)
- Eva Meixner
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany .,National Center for Tumor Diseases (NCT), Heidelberg, Baden-Württemberg, Germany
| | - Tanja Eichkorn
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany.,National Center for Tumor Diseases (NCT), Heidelberg, Baden-Württemberg, Germany
| | - Sinem Erdem
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Laila König
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany.,National Center for Tumor Diseases (NCT), Heidelberg, Baden-Württemberg, Germany
| | - Kristin Lang
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany.,National Center for Tumor Diseases (NCT), Heidelberg, Baden-Württemberg, Germany
| | - Jonathan W Lischalk
- Department of Radiation Oncology, New York University Langone Health, New York, New York, USA
| | - Laura L Michel
- National Center for Tumor Diseases (NCT), Heidelberg, Baden-Württemberg, Germany.,Department of Gynecology and Obstetrics, University Hospital Heidelberg, Heidelberg, Baden-Württemberg, Germany
| | - Andreas Schneeweiss
- National Center for Tumor Diseases (NCT), Heidelberg, Baden-Württemberg, Germany.,Department of Gynecology and Obstetrics, University Hospital Heidelberg, Heidelberg, Baden-Württemberg, Germany
| | - Katharina Smetanay
- National Center for Tumor Diseases (NCT), Heidelberg, Baden-Württemberg, Germany.,Department of Gynecology and Obstetrics, University Hospital Heidelberg, Heidelberg, Baden-Württemberg, Germany
| | - Jürgen Debus
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany.,National Center for Tumor Diseases (NCT), Heidelberg, Baden-Württemberg, Germany
| | - Juliane Hörner-Rieber
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany.,National Center for Tumor Diseases (NCT), Heidelberg, Baden-Württemberg, Germany
| |
Collapse
|
9
|
Yu H, Lam KO, Green MD, Wu H, Yang L, Wang W, Jin J, Hu C, Wang Y, Jolly S, (Spring) Kong FM. Significance of radiation esophagitis: Conditional survival assessment in patients with non-small cell lung cancer. JOURNAL OF THE NATIONAL CANCER CENTER 2021; 1:31-38. [PMID: 39035770 PMCID: PMC11256695 DOI: 10.1016/j.jncc.2021.02.003] [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: 01/07/2021] [Revised: 02/07/2021] [Accepted: 02/12/2021] [Indexed: 11/29/2022] Open
Abstract
Purpose This study aimed to examine the effect of radiation esophagitis (RE) and the dynamics of RE on subsequent survival in non-small cell lung cancer (NSCLC) patients who underwent radiotherapy. Experimental Design Patients with NSCLC treated with fractionated thoracic radiotherapy enrolled in prospective trials were eligible. RE was graded prospectively according to Common Terminology Criteria for Adverse Events (CTCAE) v3.0 per protocol requirement weekly during-RT and 1 month after RT. This study applied conditional survival assessment which has advantage over traditional survival analysis as it assesses the survival from the event instead of from the baseline. P-value less than 0.05 was considered to be significant. The primary endpoint is overall survival. Results A total of 177 patients were eligible, with a median follow-up of 5 years. The presence of RE, the maximum RE grade, the evolution of RE and the onset timing of RE events were all correlated with subsequent survival. At all conditional time points, patients first presented with RE grade1 (initial RE1) had significant inferior subsequent survival (multivariable HRs median: 1.63, all P-values<0.05); meanwhile those with RE progressed had significant inferior subsequent survival than those never develop RE (multivariable HRs median: 2.08, all P-values<0.05). Multivariable Cox proportional-hazards analysis showed significantly higher C-indexes for models with inclusion of RE events than those without (all P-values<0.05). Conclusion This study comprehensively evaluated the impact of RE with conditional survival assessment and demonstrated that RE is associated with inferior survival in NSCLC patients treated with RT.
Collapse
Affiliation(s)
- Hao Yu
- Biomedical Engineering, Shenzhen Polytechnic, Shenzhen, China
- BioHealth Informatics, School of Informatics and Computing, IUPUI, Indianapolis, IN, USA
| | - Ka-On Lam
- Department of Clinical Oncology, LKS Faculty of Medicine, the University of Hong Kong, Hong Kong, China
- Clinical Oncology Center, the University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Michael D. Green
- Radiation Oncology, Ann Arbor VA Health Care, Ann Arbor, MI, USA
- Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
| | - Huanmei Wu
- BioHealth Informatics, School of Informatics and Computing, IUPUI, Indianapolis, IN, USA
| | - Li Yang
- Clinical Oncology Center, the University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Weili Wang
- University Hospitals/Cleveland Medical Center, Seidman Cancer Center and Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA
| | - Jianyue Jin
- University Hospitals/Cleveland Medical Center, Seidman Cancer Center and Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA
| | - Chen Hu
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yang Wang
- Biomedical Engineering, Shenzhen Polytechnic, Shenzhen, China
| | - Shruti Jolly
- Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
| | - Feng-Ming (Spring) Kong
- Department of Clinical Oncology, LKS Faculty of Medicine, the University of Hong Kong, Hong Kong, China
- Clinical Oncology Center, the University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- University Hospitals/Cleveland Medical Center, Seidman Cancer Center and Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA
| |
Collapse
|
10
|
Shin DW, Bae J, Ha J, Jung KW. Conditional Relative Survival of Ovarian Cancer: A Korean National Cancer Registry Study. Front Oncol 2021; 11:639839. [PMID: 33996553 PMCID: PMC8113866 DOI: 10.3389/fonc.2021.639839] [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: 12/10/2020] [Accepted: 03/30/2021] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE Conditional relative survival (CRS) rates, which take into account changes in prognosis over time, are useful estimates for survivors and their clinicians as they make medical and personal decisions. We aimed to present the 5-year relative conditional survival probabilities of patients diagnosed with ovarian cancer from 1997-2016. METHODS This nationwide retrospective cohort study used data from the Korean Central Cancer Registry. Patients diagnosed with ovarian cancer between 1997 and 2016 were included. CRS rates were calculated stratified by age at diagnosis, cancer stage, histology, treatment received, year of diagnosis, and social deprivation index. RESULTS The 5-year relative survival rate at the time of diagnosis was 61.1% for all cases. The probability of surviving an additional 5 years, conditioned on having already survived 1, 2, 3, 4, and 5 years after diagnosis was 65.0, 69.5, 74.6, 79.3, and 83.9%, respectively. Patients with poorer initial survival estimates (older, distant stage, serous histology) generally showed the largest increases in CRS over time. The probability of death was highest in the first year after diagnosis (11.8%), and the conditional probability of death in the 2nd, 3rd, 4th, and 5th years declined to 9.4%, 7.9%, 6.1%, and 5.2%, respectively. CONCLUSION CRS rates for patients with ovarian cancer increased with each year they survived, but this did not reach the level of 'no excess mortality' even 5 years after diagnosis. The largest improvements in CRS were observed in patients with poorer initial prognoses. Our findings provide updated prognosis to ovarian cancer survivors and clinicians.
Collapse
Affiliation(s)
- Dong Wook Shin
- Supportive Care Center/Department of Family Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea
| | - Jaeman Bae
- Department of Obstetric and Gynecology, Hanyang University, Seoul, South Korea
| | - Johyun Ha
- The Korea Central Cancer Registry, National Cancer Center, Goyang, South Korea
- Division of Cancer Registration and Surveillance, National Cancer Control Institute, National Cancer Center, Goyang, South Korea
| | - Kyu-Won Jung
- The Korea Central Cancer Registry, National Cancer Center, Goyang, South Korea
- Division of Cancer Registration and Surveillance, National Cancer Control Institute, National Cancer Center, Goyang, South Korea
| |
Collapse
|
11
|
Ghanbari-Movahed M, Jackson G, Farzaei MH, Bishayee A. A Systematic Review of the Preventive and Therapeutic Effects of Naringin Against Human Malignancies. Front Pharmacol 2021; 12:639840. [PMID: 33854437 PMCID: PMC8039459 DOI: 10.3389/fphar.2021.639840] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 01/28/2021] [Indexed: 12/11/2022] Open
Abstract
Background: Natural product-based cancer preventive and therapeutic entities, such as flavonoids and their derivatives, are shown to have a noticeable capability to suppress tumor formation and cancer cell growth. Naringin, a natural flavanone glycoside present in various plant species, has been indicated to modulate different signaling pathways and interact with numerous cell signaling molecules, which allows for an extensive variety of pharmacological actions, such as amelioration of inflammation, oxidative stress, metabolic syndromes, bone disorders, and cancer. The purpose of this systematic review is to present a critical and comprehensive assessment of the antitumor ability of naringin and associated molecular targets in various cancers. Methods: Studies were identified through systematic searches of Science Direct, PubMed, and Scopus as well as eligibility checks according to predefined selection criteria. Results: Eighty-seven studies were included in this systematic review. There was strong evidence for the association between treatment with naringin alone, or combined with other drugs and antitumor activity. Additionally, studies showed that naringin-metal complexes have greater anticancer effects compared to free naringin. It has been demonstrated that naringin employs multitargeted mechanisms to hamper cancer initiation, promotion, and progression through modulation of several dysregulated signaling cascades implicated in cell proliferation, autophagy, apoptosis, inflammation, angiogenesis, metastasis, and invasion. Conclusion: The results of our work show that naringin is a promising candidate for cancer prevention and treatment, and might offer substantial support for the clinical application of this phytocompound in the future. Nevertheless, further preclinical and clinical studies as well as drug delivery approaches are needed for designing novel formulations of naringin to realize the full potential of this flavonoid in cancer prevention and intervention.
Collapse
Affiliation(s)
- Maryam Ghanbari-Movahed
- Medical Technology Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.,Department of Biology, Faculty of Science, University of Guilan, Rasht, Iran
| | - Gloria Jackson
- Lake Erie College of Osteopathic Medicine, Bradenton, FL, United States
| | - Mohammad Hosein Farzaei
- Medical Technology Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Anupam Bishayee
- Lake Erie College of Osteopathic Medicine, Bradenton, FL, United States
| |
Collapse
|
12
|
Elmehrath AO, Afifi AM, Abdel-Malek R. Non-cancer death causes after ovarian cancer diagnosis: A population-based cohort. J Obstet Gynaecol Res 2021; 47:1884-1891. [PMID: 33751749 DOI: 10.1111/jog.14736] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 02/01/2021] [Accepted: 02/20/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Research on non-cancer death causes in ovarian cancer (OC) patients remains limited. We aim to focus on and evaluate the non-cancer death causes after OC diagnosis. METHODS We studied 82 590 OC patients diagnosed between 2000 and 2016, using the Surveillance, Epidemiology, and End Results (SEER) Program. Risks of death causes were calculated as standardized mortality ratios. RESULTS Of included patients, 48 125 (58.3%) died during the follow-up period. The highest number of deaths, 21 722 (45.1%), occurred within 1-5 years after OC diagnosis. On the other hand, 19 992 (41.5%) of deaths occurred within a year from ovary cancer diagnosis, 5255 (10.9%) occurred within 5-10 years, and 1156 (2.4%) deaths occurred after more than 10 years following OC diagnosis. Non-cancer death causes comprise a significant percentage of deaths in OC patients, increasing with time after diagnosis. CONCLUSIONS Cardiac diseases, cerebrovascular diseases, and COPD were among the most common non-cancer death causes after OC diagnosis. Other critical non-cancer death causes include septicemia and benign neoplasms. Mortality risk differences based on race and age were also highlighted. These findings provide critical insights into how OC survivors should be followed-up and counseled for relevant future health risks.
Collapse
Affiliation(s)
| | - Ahmed M Afifi
- Department of Internal Medicine, Division of Digestive Diseases, University of Kentucky College of Medicine, Lexington, Kentucky, USA.,Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Raafat Abdel-Malek
- Clinical Oncology Department, Faculty of Medicine, Cairo University, Giza, Egypt.,Clinical Oncology Department, North West Cancer Center, Londonderry, UK
| |
Collapse
|
13
|
Sanford NN, Ahn C, Beg MS, Sanjeevaiah A, Kazmi SA, Folkert MR, Aguilera TA, Sher DJ. Stage-specific Conditional Survival Among Young (Age Below 50 y) Versus Older (Age 50 y and Above) Adults With Colorectal Cancer in the United States. Am J Clin Oncol 2020; 43:526-530. [PMID: 32324600 DOI: 10.1097/coc.0000000000000698] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Conditional survival (CS) is a relevant prognostic measure and may be particularly important for young adult patients with colorectal cancer (CRC), whose incidence is rising. We sought to compare CS among young versus older adults with CRC. METHODS Patients diagnosed with CRC between 2004 and 2010 were identified from the Surveillance, Epidemiology, and End Results registry. Smoothed yearly hazards of death due to CRC, other causes and any cause were estimated, stratified by age at diagnosis (below 50 vs. 50 y and above) and stage (I-III vs. IV). Stage-specific conditional 5-year overall survival and cancer-specific survival given that patients had already survived 1 to 5 years after diagnosis was calculated. RESULTS Among 161,859 patients with median follow-up of 54 months, 35,411 (21.9%) were aged below 50 years. For older adults with nonmetastatic CRC, hazards of death due to noncancer causes exceeded that of rectal and colon cancer ∼6.1 and 3.8 years after diagnosis, respectively. Patients experienced improved CS over time with greater improvement seen for more advanced stages. However, young adults had less CS improvement over time than older adults. For example, the 5-year cancer-specific survival for stage IV colon cancer improved from 15.6% to 77.2% (change=61.6%) 0 to 5 years after diagnosis for older adults but only 20.3% to 67.7% (change=47.4%) for young adults. CONCLUSIONS Prognosis for CRC improves over time for all patients, although the increase in survival appears to be less for young than older adults. Up to 10 years after diagnosis, the primary cause of death in young adults with CRC remains their incident cancer.
Collapse
Affiliation(s)
| | - Chul Ahn
- Population and Data Sciences.,Harold Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX
| | | | | | - Syed A Kazmi
- Medical Oncology, University of Texas Southwestern
| | | | | | | |
Collapse
|
14
|
Suarez-Pierre A, Lui C, Zhou X, Fraser CD, Ferrigno AS, Etchill E, Giuliano K, Higgins RS, Choi CW, Kilic A. Conditional Survival in Heart Transplantation: An Organ Procurement and Transplantation Network Database Analysis. Ann Thorac Surg 2020; 110:1339-1347. [DOI: 10.1016/j.athoracsur.2020.02.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 12/23/2019] [Accepted: 02/04/2020] [Indexed: 10/24/2022]
|
15
|
Conditional Probability of Survival and Prognostic Factors in Long-Term Survivors of High-Grade Serous Ovarian Cancer. Cancers (Basel) 2020; 12:cancers12082184. [PMID: 32764409 PMCID: PMC7465919 DOI: 10.3390/cancers12082184] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 07/17/2020] [Accepted: 07/28/2020] [Indexed: 12/24/2022] Open
Abstract
Objective: High-grade serous ovarian cancers (HGSOC) are heterogeneous, often diagnosed at an advanced stage, and associated with poor overall survival (OS, 39% at five years). There are few data about the prognostic factors of late relapses in HGSOC patients who survived ≥five years, long-term survivors (LTS). The aim of our study is to assess the probability of survival according to the already survived time from diagnosis. Methods: Data from HGSOC patients treated between 1995 and 2016 were retrospectively collected to estimate the conditional probability of survival (CPS), probability of surviving Y years after diagnosis when the patient had already survived X years, and to determine the LTS prognostic factors. The primary endpoint was OS. Results: 404 patients were included; 120 of them were LTS. Patients were aged 61 years (range: 20–89), WHO performance status 0–1 in 86.9% and 2 in 13.1%, and Fédération Internationale de Gynécologie et d’Obstétrique (FIGO) staging III and IV in 82.7% and 17.3% patients. Breast cancer (BRCA) status was available in 116 patients (33% mutated), including 58 LTS (36% mutated). No macroscopic residual disease was observed in 58.4% patients. First-line platinum-based chemotherapy plus paclitaxel was administered in 80.4% of patients (median: six cycles (range: 1–14)). After a 9 point 3-year follow-up, median OS was four years (95% CI: 3.6–4.5). The CPS at five years after surviving one year was 42.8% (95% CI: 35.3–48.3); it increased to 81.7% (95% CI: 75.5–87.8) after four survived years. Progression-free interval>18 months was the only LTS prognostic factor in the multivariable analysis (hazard ratio (HR) = 0.23; 95% CI: 0.13–0.40; p < 0.001). Conclusion: The CPS provided relevant and encouraging clinical information on the life expectancy of HGSOC patients who already survived a period of time after diagnosis. LTS prognostic factors are useful for clinicians and patients.
Collapse
|
16
|
Arrington AK, Goldstein L, Kruper L, Vito C, Yim J, Chen SL. Life Expectancy after Curative-intent Treatment of Breast Cancer: Impact on Long-term Follow-up Care. Am Surg 2020. [DOI: 10.1177/000313481408000626] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Long-term survival rates after treatment for breast cancer are directly influenced by early deaths resulting from disease. For longer-term breast cancer survivors, survival rates appear deceptively low. We hypothesize that the actual survival curve for long-term survivors approaches the overall survival of the general population. The Surveillance, Epidemiology, and End Results database (1988 to 2002) was used to identify patients with nonmetastatic breast cancer who underwent definitive surgical treatment. The survival of the general population was constructed by using national life tables with an age-matched population. Comparisons of survivals were made for 3-, 5-, and 7-year breast cancer survivor cohorts. Of 237,180 patients, 92.4 per cent survived three years, 82.1 per cent five years, and 58.1 per cent seven years. Stage I patients have equivalent or better survivals compared with the age-matched general population in all three cohorts. Stage II patients reached equivalent conditional survival between eight and nine years after diagnosis regardless of cohort. Stage III patients required achieving nine to 10 years after diagnosis to achieve equivalent survival probability, except in 7-year survivors, in whom 10 to 11 years was required. In all stages, once equivalence was reached, survival exceeded the general population over the remaining years. Initial cancer stage influences overall survival for many years after diagnosis. Patients with Stage I cancer return to the general population risk as early as three years after diagnosis, whereas higher stages can require up to nine years to achieve parity with a more generalized population. These findings should be factored into general health screening issues for long-term breast cancer survivors.
Collapse
Affiliation(s)
| | - Leanne Goldstein
- From the City of Hope National Medical Center, Duarte, California
| | - Laura Kruper
- From the City of Hope National Medical Center, Duarte, California
| | - Courtney Vito
- From the City of Hope National Medical Center, Duarte, California
| | - John Yim
- From the City of Hope National Medical Center, Duarte, California
| | - Steven L. Chen
- From the City of Hope National Medical Center, Duarte, California
| |
Collapse
|
17
|
Kyo S, Ishikawa N, Nakamura K, Nakayama K. The fallopian tube as origin of ovarian cancer: Change of diagnostic and preventive strategies. Cancer Med 2019; 9:421-431. [PMID: 31769234 PMCID: PMC6970023 DOI: 10.1002/cam4.2725] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 11/06/2019] [Accepted: 11/08/2019] [Indexed: 01/20/2023] Open
Abstract
Ovarian cancer is the leading cause of gynecologic cancer death in the world, and its prevention and early diagnosis remain the key to its treatment, especially for high‐grade serous carcinoma (HGSC). Accumulating epidemiological and molecular evidence has shown that HGSC originates from fallopian tube secretory cells through serous tubal intraepithelial carcinoma. Comprehensive molecular analyses and mouse studies have uncovered the key driver events for serous carcinogenesis, providing novel molecular targets. Risk‐reducing bilateral salpingo‐oophorectomy (RRSO) has been proposed to reduce the subsequent occurrence of serous carcinoma in high‐risk patients with BRCA mutations. However, there is no management strategy for isolated precursors detected at RRSO, and the role of subsequent surgery or chemotherapy in preventing serous carcinoma remains unclear. Surgical menopause due to RRSO provides a variety of problems related to patients’ quality of life, and the risks and benefits of hormone replacement are under investigation, especially for women without a previous history of breast cancer. An additional surgical option, salpingectomy with delayed oophorectomy, has been proposed to prevent surgical menopause. The number of opportunistic salpingectomies at the time of surgery for benign disease to prevent the future occurrence of HGSC has increased worldwide. Thus, the changing concept of the origin of serous carcinoma has provided us a great opportunity to develop novel diagnostic and therapeutic approaches.
Collapse
Affiliation(s)
- Satoru Kyo
- Department of Obstetrics and Gynecology, Shimane University Faculty of Medicine, Izumo, Shimane, Japan
| | - Noriyoshi Ishikawa
- Department of Pathology, Shimane University Faculty of Medicine, Izumo, Shimane, Japan
| | - Kohei Nakamura
- Department of Obstetrics and Gynecology, Shimane University Faculty of Medicine, Izumo, Shimane, Japan
| | - Kentaro Nakayama
- Department of Obstetrics and Gynecology, Shimane University Faculty of Medicine, Izumo, Shimane, Japan
| |
Collapse
|
18
|
Conditional survival of patients with stage I–III squamous cell carcinoma of the penis: temporal changes in cancer-specific mortality. World J Urol 2019; 38:725-732. [DOI: 10.1007/s00345-019-02869-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 07/03/2019] [Indexed: 12/30/2022] Open
|
19
|
Fortner RT, Poole EM, Wentzensen NA, Trabert B, White E, Arslan AA, Patel AV, Setiawan VW, Visvanathan K, Weiderpass E, Adami HO, Black A, Bernstein L, Brinton LA, Buring J, Clendenen TV, Fournier A, Fraser G, Gapstur SM, Gaudet MM, Giles GG, Gram IT, Hartge P, Hoffman-Bolton J, Idahl A, Kaaks R, Kirsh VA, Knutsen S, Koh WP, Lacey JV, Lee IM, Lundin E, Merritt MA, Milne RL, Onland-Moret NC, Peters U, Poynter JN, Rinaldi S, Robien K, Rohan T, Sánchez MJ, Schairer C, Schouten LJ, Tjonneland A, Townsend MK, Travis RC, Trichopoulou A, van den Brandt PA, Vineis P, Wilkens L, Wolk A, Yang HP, Zeleniuch-Jacquotte A, Tworoger SS. Ovarian cancer risk factors by tumor aggressiveness: An analysis from the Ovarian Cancer Cohort Consortium. Int J Cancer 2019. [PMID: 30561796 DOI: 10.1002/ijc.32075] [] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Ovarian cancer risk factors differ by histotype; however, within subtype, there is substantial variability in outcomes. We hypothesized that risk factor profiles may influence tumor aggressiveness, defined by time between diagnosis and death, independent of histology. Among 1.3 million women from 21 prospective cohorts, 4,584 invasive epithelial ovarian cancers were identified and classified as highly aggressive (death in <1 year, n = 864), very aggressive (death in 1 to < 3 years, n = 1,390), moderately aggressive (death in 3 to < 5 years, n = 639), and less aggressive (lived 5+ years, n = 1,691). Using competing risks Cox proportional hazards regression, we assessed heterogeneity of associations by tumor aggressiveness for all cases and among serous and endometrioid/clear cell tumors. Associations between parity (phet = 0.01), family history of ovarian cancer (phet = 0.02), body mass index (BMI; phet ≤ 0.04) and smoking (phet < 0.01) and ovarian cancer risk differed by aggressiveness. A first/single pregnancy, relative to nulliparity, was inversely associated with highly aggressive disease (HR: 0.72; 95% CI [0.58-0.88]), no association was observed for subsequent pregnancies (per pregnancy, 0.97 [0.92-1.02]). In contrast, first and subsequent pregnancies were similarly associated with less aggressive disease (0.87 for both). Family history of ovarian cancer was only associated with risk of less aggressive disease (1.94 [1.47-2.55]). High BMI (≥35 vs. 20 to < 25 kg/m2 , 1.93 [1.46-2.56] and current smoking (vs. never, 1.30 [1.07-1.57]) were associated with increased risk of highly aggressive disease. Results were similar within histotypes. Ovarian cancer risk factors may be directly associated with subtypes defined by tumor aggressiveness, rather than through differential effects on histology. Studies to assess biological pathways are warranted.
Collapse
Affiliation(s)
- Renée T Fortner
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Elizabeth M Poole
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Nicolas A Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | - Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | - Emily White
- Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Alan A Arslan
- New York University School of Medicine, New York, NY
| | - Alpa V Patel
- Epidemiology Research Program, American Cancer Society, Atlanta, GA
| | | | | | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway.,Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Genetic Epidemiology Group, Folkhälsan Research Center, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Hans-Olov Adami
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | | | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | - Julie Buring
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | | | - Agnès Fournier
- CESP "Health across Generations," INSERM, Univ Paris-Sud, UVSQ, Univ Paris-Saclay, Villejuif, France.,Gustave Roussy, Villejuif, France
| | | | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA
| | - Mia M Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, GA
| | - Graham G Giles
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, Australia.,Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Inger T Gram
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | | | - Annika Idahl
- Department of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Victoria A Kirsh
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | | | - Woon-Puay Koh
- Health Services and Systems Research, Duke-NUS Medical School Singapore, Singapore
| | | | - I-Min Lee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Eva Lundin
- Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden
| | - Melissa A Merritt
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI.,Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, United Kingdom
| | - Roger L Milne
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, Australia.,Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Jenny N Poynter
- Department of Pediatrics, University of Minnesota, Minneapolis, MN
| | - Sabina Rinaldi
- International Agency for Research on Cancer, Lyon, France
| | - Kim Robien
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington, D.C
| | - Thomas Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Maria-José Sánchez
- Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria ibs.GRANADA. Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain.,CIBER de Epidemiología y Salud Pública (CIBERESP), Spain
| | - Catherine Schairer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | - Leo J Schouten
- GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | | | - Mary K Townsend
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece.,WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Dept. of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Greece
| | - Piet A van den Brandt
- GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, United Kingdom.,HuGeF Foundation, Torino, Italy
| | - Lynne Wilkens
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Hannah P Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | | | - Shelley S Tworoger
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL
| |
Collapse
|
20
|
Fortner RT, Poole EM, Wentzensen NA, Trabert B, White E, Arslan AA, Patel AV, Setiawan VW, Visvanathan K, Weiderpass E, Adami HO, Black A, Bernstein L, Brinton LA, Buring J, Clendenen TV, Fournier A, Fraser G, Gapstur SM, Gaudet MM, Giles GG, Gram IT, Hartge P, Hoffman-Bolton J, Idahl A, Kaaks R, Kirsh VA, Knutsen S, Koh WP, Lacey JV, Lee IM, Lundin E, Merritt MA, Milne RL, Onland-Moret NC, Peters U, Poynter JN, Rinaldi S, Robien K, Rohan T, Sánchez MJ, Schairer C, Schouten LJ, Tjonneland A, Townsend MK, Travis RC, Trichopoulou A, van den Brandt PA, Vineis P, Wilkens L, Wolk A, Yang HP, Zeleniuch-Jacquotte A, Tworoger SS. Ovarian cancer risk factors by tumor aggressiveness: An analysis from the Ovarian Cancer Cohort Consortium. Int J Cancer 2019; 145:58-69. [PMID: 30561796 PMCID: PMC6488363 DOI: 10.1002/ijc.32075] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Revised: 10/19/2018] [Accepted: 11/05/2018] [Indexed: 12/21/2022]
Abstract
Ovarian cancer risk factors differ by histotype; however, within subtype, there is substantial variability in outcomes. We hypothesized that risk factor profiles may influence tumor aggressiveness, defined by time between diagnosis and death, independent of histology. Among 1.3 million women from 21 prospective cohorts, 4,584 invasive epithelial ovarian cancers were identified and classified as highly aggressive (death in <1 year, n = 864), very aggressive (death in 1 to < 3 years, n = 1,390), moderately aggressive (death in 3 to < 5 years, n = 639), and less aggressive (lived 5+ years, n = 1,691). Using competing risks Cox proportional hazards regression, we assessed heterogeneity of associations by tumor aggressiveness for all cases and among serous and endometrioid/clear cell tumors. Associations between parity (phet = 0.01), family history of ovarian cancer (phet = 0.02), body mass index (BMI; phet ≤ 0.04) and smoking (phet < 0.01) and ovarian cancer risk differed by aggressiveness. A first/single pregnancy, relative to nulliparity, was inversely associated with highly aggressive disease (HR: 0.72; 95% CI [0.58-0.88]), no association was observed for subsequent pregnancies (per pregnancy, 0.97 [0.92-1.02]). In contrast, first and subsequent pregnancies were similarly associated with less aggressive disease (0.87 for both). Family history of ovarian cancer was only associated with risk of less aggressive disease (1.94 [1.47-2.55]). High BMI (≥35 vs. 20 to < 25 kg/m2 , 1.93 [1.46-2.56] and current smoking (vs. never, 1.30 [1.07-1.57]) were associated with increased risk of highly aggressive disease. Results were similar within histotypes. Ovarian cancer risk factors may be directly associated with subtypes defined by tumor aggressiveness, rather than through differential effects on histology. Studies to assess biological pathways are warranted.
Collapse
Affiliation(s)
- Renée T. Fortner
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Elizabeth M. Poole
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Nicolas A. Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington D.C., USA
| | - Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington D.C., USA
| | - Emily White
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Alan A. Arslan
- New York University School of Medicine, New York, NY, USA
| | - Alpa V. Patel
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | | | - Kala Visvanathan
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Genetic Epidemiology Group, Folkhälsan Research Center; Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Hans-Olov Adami
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington D.C., USA
| | | | - Louise A. Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington D.C., USA
| | - Julie Buring
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Agnès Fournier
- CESP “Health across Generations”, INSERM, Univ Paris-Sud, UVSQ, Univ Paris-Saclay, Villejuif, France
- Gustave Roussy, Villejuif, France
| | | | - Susan M. Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Mia M. Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Graham G. Giles
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Inger T. Gram
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington D.C., USA
| | | | - Annika Idahl
- Department of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Victoria A. Kirsh
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | | | - Woon-Puay Koh
- Health Services and Systems Research, Duke-NUS Medical School Singapore, Singapore
| | | | - I-Min Lee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Eva Lundin
- Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden
| | - Melissa A. Merritt
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London W2 1PG, United Kingdom
| | - Roger L. Milne
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - N. Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Ulrike Peters
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jenny N. Poynter
- Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Sabina Rinaldi
- International Agency for Research on Cancer, Lyon, France
| | - Kim Robien
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington, DC
| | - Thomas Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Maria-José Sánchez
- Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria ibs.GRANADA. Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Spain
| | - Catherine Schairer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington D.C., USA
| | - Leo J. Schouten
- GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | | | - Mary K. Townsend
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Ruth C. Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Dept. of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Greece
| | - Piet A. van den Brandt
- GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London W2 1PG, United Kingdom
- HuGeF Foundation, Torino, Italy
| | - Lynne Wilkens
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Hannah P. Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington D.C., USA
| | | | - Shelley S. Tworoger
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| |
Collapse
|
21
|
Fortner RT, Poole EM, Wentzensen NA, Trabert B, White E, Arslan AA, Patel AV, Setiawan VW, Visvanathan K, Weiderpass E, Adami HO, Black A, Bernstein L, Brinton LA, Buring J, Clendenen TV, Fournier A, Fraser G, Gapstur SM, Gaudet MM, Giles GG, Gram IT, Hartge P, Hoffman-Bolton J, Idahl A, Kaaks R, Kirsh VA, Knutsen S, Koh WP, Lacey JV, Lee IM, Lundin E, Merritt MA, Milne RL, Onland-Moret NC, Peters U, Poynter JN, Rinaldi S, Robien K, Rohan T, Sánchez MJ, Schairer C, Schouten LJ, Tjonneland A, Townsend MK, Travis RC, Trichopoulou A, van den Brandt PA, Vineis P, Wilkens L, Wolk A, Yang HP, Zeleniuch-Jacquotte A, Tworoger SS. Ovarian cancer risk factors by tumor aggressiveness: An analysis from the Ovarian Cancer Cohort Consortium. Int J Cancer 2019. [PMID: 30561796 DOI: 10.1002/ijc.32075]+[] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Ovarian cancer risk factors differ by histotype; however, within subtype, there is substantial variability in outcomes. We hypothesized that risk factor profiles may influence tumor aggressiveness, defined by time between diagnosis and death, independent of histology. Among 1.3 million women from 21 prospective cohorts, 4,584 invasive epithelial ovarian cancers were identified and classified as highly aggressive (death in <1 year, n = 864), very aggressive (death in 1 to < 3 years, n = 1,390), moderately aggressive (death in 3 to < 5 years, n = 639), and less aggressive (lived 5+ years, n = 1,691). Using competing risks Cox proportional hazards regression, we assessed heterogeneity of associations by tumor aggressiveness for all cases and among serous and endometrioid/clear cell tumors. Associations between parity (phet = 0.01), family history of ovarian cancer (phet = 0.02), body mass index (BMI; phet ≤ 0.04) and smoking (phet < 0.01) and ovarian cancer risk differed by aggressiveness. A first/single pregnancy, relative to nulliparity, was inversely associated with highly aggressive disease (HR: 0.72; 95% CI [0.58-0.88]), no association was observed for subsequent pregnancies (per pregnancy, 0.97 [0.92-1.02]). In contrast, first and subsequent pregnancies were similarly associated with less aggressive disease (0.87 for both). Family history of ovarian cancer was only associated with risk of less aggressive disease (1.94 [1.47-2.55]). High BMI (≥35 vs. 20 to < 25 kg/m2 , 1.93 [1.46-2.56] and current smoking (vs. never, 1.30 [1.07-1.57]) were associated with increased risk of highly aggressive disease. Results were similar within histotypes. Ovarian cancer risk factors may be directly associated with subtypes defined by tumor aggressiveness, rather than through differential effects on histology. Studies to assess biological pathways are warranted.
Collapse
Affiliation(s)
- Renée T Fortner
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Elizabeth M Poole
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Nicolas A Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | - Britton Trabert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | - Emily White
- Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Alan A Arslan
- New York University School of Medicine, New York, NY
| | - Alpa V Patel
- Epidemiology Research Program, American Cancer Society, Atlanta, GA
| | | | | | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway.,Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Genetic Epidemiology Group, Folkhälsan Research Center, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Hans-Olov Adami
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Amanda Black
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | | | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | - Julie Buring
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | | | - Agnès Fournier
- CESP "Health across Generations," INSERM, Univ Paris-Sud, UVSQ, Univ Paris-Saclay, Villejuif, France.,Gustave Roussy, Villejuif, France
| | | | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA
| | - Mia M Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, GA
| | - Graham G Giles
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, Australia.,Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Inger T Gram
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | | | - Annika Idahl
- Department of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Victoria A Kirsh
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | | | - Woon-Puay Koh
- Health Services and Systems Research, Duke-NUS Medical School Singapore, Singapore
| | | | - I-Min Lee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Eva Lundin
- Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden
| | - Melissa A Merritt
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI.,Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, United Kingdom
| | - Roger L Milne
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, Australia.,Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Jenny N Poynter
- Department of Pediatrics, University of Minnesota, Minneapolis, MN
| | - Sabina Rinaldi
- International Agency for Research on Cancer, Lyon, France
| | - Kim Robien
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington, D.C
| | - Thomas Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Maria-José Sánchez
- Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria ibs.GRANADA. Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain.,CIBER de Epidemiología y Salud Pública (CIBERESP), Spain
| | - Catherine Schairer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | - Leo J Schouten
- GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | | | - Mary K Townsend
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece.,WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Dept. of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Greece
| | - Piet A van den Brandt
- GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, United Kingdom.,HuGeF Foundation, Torino, Italy
| | - Lynne Wilkens
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Hannah P Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Washington, D.C
| | | | - Shelley S Tworoger
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL
| |
Collapse
|
22
|
Iorio GC, Martini S, Arcadipane F, Ricardi U, Franco P. The role of radiotherapy in epithelial ovarian cancer: a literature overview. Med Oncol 2019; 36:64. [PMID: 31165334 DOI: 10.1007/s12032-019-1287-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Accepted: 05/28/2019] [Indexed: 12/24/2022]
Abstract
Ovarian cancer (OC) accounts for 3% of all cancer in women and for 5% of all cancer-related deaths. Epithelial Ovarian Cancer (EOC) is a radiosensitive malignancy with a poor prognosis. In the pre-chemotherapy era, radiation therapy (RT) delivered to the abdominopelvic region (whole abdominal irradiation, WAI) has historically played a role in the adjuvant and consolidation setting. Specific cluster of patients with early-stage disease and definite histologies may take advantage of RT. Platinum-based chemotherapy (CT) has replaced RT and plays a major role in most of the clinical settings. Radiation Therapy for palliation is recommended in patients with localized symptoms. Nevertheless, modern RT represents a reliable treatment option, with a mild toxicity profile, particularly effective for oligo-recurrent or progressive disease. The present literature review aims to highlight the historical role of RT in EOC, the actual lines of evidence, and the future perspectives.
Collapse
Affiliation(s)
- Giuseppe Carlo Iorio
- Department of Oncology, Radiation Oncology, School of Medicine, University of Turin, Via Genova 3, 10126, Turin, Italy
| | - Stefania Martini
- Department of Oncology, Radiation Oncology, School of Medicine, University of Turin, Via Genova 3, 10126, Turin, Italy
| | - Francesca Arcadipane
- Department of Oncology, Radiation Oncology, AOU Citta' della Salute e della Scienza, Turin, Italy
| | - Umberto Ricardi
- Department of Oncology, Radiation Oncology, School of Medicine, University of Turin, Via Genova 3, 10126, Turin, Italy
| | - Pierfrancesco Franco
- Department of Oncology, Radiation Oncology, School of Medicine, University of Turin, Via Genova 3, 10126, Turin, Italy.
| |
Collapse
|
23
|
Zhu Q, Qiao G, Xu C, Yu X, Zhao J, Yu Z, Hu M, Yang Y, Wang L, Lu M, Hu F, Cheng Z, Zhou J. Conditional survival in patients with spontaneous tumor rupture of hepatocellular carcinoma after partial hepatectomy: a propensity score matching analysis. HPB (Oxford) 2019; 21:722-730. [PMID: 30389432 DOI: 10.1016/j.hpb.2018.10.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Revised: 09/17/2018] [Accepted: 10/05/2018] [Indexed: 12/12/2022]
Abstract
BACKGROUND Spontaneous tumor rupture (STR) of hepatocellular carcinoma (HCC) is a life-threatening condition. This study investigates the influences of STR on the observed survival and conditional survival of patients received hepatectomy. METHODS A retrospective cohort of patients who underwent hepatectomy from 2009 to 2013 was divided into tumor rupture group and non-rupture group. Propensity score matching (PSM) was used for comparison of the observed survival and conditional survival probabilities between these two groups. RESULTS 89 pairs of patients who had comparable background and tumor characteristics were created using PSM analysis. There was significant association between STR and increased risk of OS no matter when before or after PSM (p < 0.01). STR was significantly associated with increased risks of PFS before, while not after PSM. Multivariate Cox regression analyses demonstrated that STR was an independent risk factor associated with OS. There were significant differences in two groups for conditional probabilities of OS and PFS for an additional 6 months and 1 year before PSM, while not after PSM. CONCLUSIONS This study identified STR but not PFS as an independent risk factor influencing OS, in patients with HCC following hepatectomy. In selected patients with STRHCC, hepatectomy should be performed with acceptable outcomes.
Collapse
Affiliation(s)
- Qian Zhu
- Department of Hepato-Pancreato-Biliary Center, Zhongda Hospital, Southeast University School of Medicine, Nanjing, 210009, China; Department of Hepatobiliary Surgery Research Institute, Southeast University, Nanjing, 210009, China
| | - Guoliang Qiao
- Department of Medical Oncology, Beijing Key Laboratory for Therapeutic Cancer Vaccines, Capital Medical University Cancer Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
| | - Chang Xu
- Department of Biliary Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, 200438, China
| | - Xiaojin Yu
- Department of Public Health, Southeast University, Nanjing, 210009, China
| | - Jing Zhao
- Department of Dermatology, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Zeqian Yu
- Department of Hepato-Pancreato-Biliary Center, Zhongda Hospital, Southeast University School of Medicine, Nanjing, 210009, China; Department of Hepatobiliary Surgery Research Institute, Southeast University, Nanjing, 210009, China
| | - Minjie Hu
- Department of Hepato-Pancreato-Biliary Center, Zhongda Hospital, Southeast University School of Medicine, Nanjing, 210009, China
| | - Yang Yang
- Department of Hepato-Pancreato-Biliary Center, Zhongda Hospital, Southeast University School of Medicine, Nanjing, 210009, China; Department of Hepatobiliary Surgery Research Institute, Southeast University, Nanjing, 210009, China
| | - Lishan Wang
- Department of Hepato-Pancreato-Biliary Center, Zhongda Hospital, Southeast University School of Medicine, Nanjing, 210009, China; Department of Hepatobiliary Surgery Research Institute, Southeast University, Nanjing, 210009, China
| | - Miao Lu
- Department of Hepato-Pancreato-Biliary Center, Zhongda Hospital, Southeast University School of Medicine, Nanjing, 210009, China; Department of Hepatobiliary Surgery Research Institute, Southeast University, Nanjing, 210009, China
| | - Fangfang Hu
- Department of Hepato-Pancreato-Biliary Center, Zhongda Hospital, Southeast University School of Medicine, Nanjing, 210009, China; Department of Hepatobiliary Surgery Research Institute, Southeast University, Nanjing, 210009, China
| | - Zhangjun Cheng
- Department of Hepato-Pancreato-Biliary Center, Zhongda Hospital, Southeast University School of Medicine, Nanjing, 210009, China; Department of Hepatobiliary Surgery Research Institute, Southeast University, Nanjing, 210009, China
| | - Jiahua Zhou
- Department of Hepato-Pancreato-Biliary Center, Zhongda Hospital, Southeast University School of Medicine, Nanjing, 210009, China; Department of Hepatobiliary Surgery Research Institute, Southeast University, Nanjing, 210009, China.
| |
Collapse
|
24
|
Rutherford MJ, Andersson TML, Björkholm M, Lambert PC. Loss in life expectancy and gain in life years as measures of cancer impact. Cancer Epidemiol 2019; 60:168-173. [PMID: 31054465 DOI: 10.1016/j.canep.2019.04.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 04/12/2019] [Accepted: 04/16/2019] [Indexed: 01/24/2023]
Abstract
There are a broad range of survival-based metrics that are available to report from cancer survival studies, with varying advantages and disadvantages. A combination of metrics should be considered to improve comprehensibility and give a fuller understanding of the impact of cancer. In this article, we discuss the utility of loss in life expectancy and gain in life years as measures of cancer impact, and to quantify differences across population groups. These measures are simple to interpret, have a real-world meaning, and evaluate impact over a life-time horizon. We illustrate the use of the loss in life expectancy measures through a range of examples using data on women diagnosed with cancer in England. We use four different examples across a number of tumour types to illustrate different uses of the metrics, and highlight how they can be interpreted and used in practice in population-based oncology studies. Extensions of the measures conditional on survival to specific times after diagnosis can be used to give updated prognosis for cancer patients. Furthermore, we show how the measures can be used to understand the impact of population differences seen across patient groups. We believe that these under-used, and relatively easy to calculate, measures of overall impact can supplement reporting of cancer survival metrics and improve the comprehensibility compared to the metrics typically reported.
Collapse
Affiliation(s)
| | - T M-L Andersson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
| | - Magnus Björkholm
- Department of Medicine, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Paul C Lambert
- Department of Health Sciences, University of Leicester, UK; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
| |
Collapse
|
25
|
Zhang W, Zhang W, Lin Z, Wang F, Li M, Zhu L, Yu Y, Gao Y. Survival Outcomes of Patients with Primary Breast Cancer Following Primary Ovarian Cancer. Med Sci Monit 2019; 25:3869-3879. [PMID: 31125329 PMCID: PMC6545065 DOI: 10.12659/msm.914163] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background Patients with primary breast cancer following primary ovarian cancer do not comprise a large clinical entity, and reports of the survival outcomes of this cohort are rare. The purpose of this retrospective population-based research was to investigate the survival outcomes of patients with primary breast cancer after primary ovarian cancer. Material/Methods A cohort of patients diagnosed with primary breast cancer following primary ovarian cancer between 1973 and 2014 was drawn from the National Cancer Institute’s Surveillance Epidemiology and End Results (SEER) database. Cox proportional hazards survival regression analysis and Kaplan-Meier were applied to calculate overall survival (OS), cancer-specific survival (CSS), and independent predictors of CSS. Results A total of 1455 patients with primary breast cancer following primary ovarian cancer were identified. The 5-year and 10-year OS rates for the entire cohort were 81.7% and 67.4%, respectively. The 5-year and 10-year CSS rates were 84.2% and 74.3% for ovarian cancer, and 76.0% and 67.8% for breast cancer, respectively. Multivariate analysis revealed that independent predictors of ovarian cancer CSS include age, cancer stage, diagnosis time, and histological subtype. Conclusions Patients diagnosed with breast cancer following ovarian cancer have better survival rates. Patients age, ovarian cancer stage, ovarian cancer histological type, and time of diagnose affect the survival rate.
Collapse
Affiliation(s)
- Wei Zhang
- Department of Gynaecology, The People's Hospital of Yuxi City, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, Yunnan, China (mainland)
| | - Wenque Zhang
- Department of Gynaecology, The People's Hospital of Yuxi City, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, Yunnan, China (mainland)
| | - Zhihong Lin
- Department of Gynaecology, The People's Hospital of Yuxi City, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, Yunnan, China (mainland)
| | - Fang Wang
- Department of Gynaecology, The People's Hospital of Yuxi City, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, Yunnan, China (mainland)
| | - Miaojie Li
- Department of Gynaecology, The People's Hospital of Yuxi City, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, Yunnan, China (mainland)
| | - Libo Zhu
- Department of Gastroenterology, Dali Bai Autonomous Prefecture People's Hospital, Dali, Yunnan, China (mainland)
| | - Yixian Yu
- Department of Gynecology, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China (mainland)
| | - Yutao Gao
- Department of Gynecology, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China (mainland)
| |
Collapse
|
26
|
Kim Y, Kim HS, Cho HS, Han I. Changing odds of survival over time among patients undergoing surgical resection of extremity soft tissue sarcoma. J Surg Oncol 2019; 120:193-199. [PMID: 31042013 DOI: 10.1002/jso.25487] [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: 01/02/2019] [Revised: 03/16/2019] [Accepted: 04/13/2019] [Indexed: 11/08/2022]
Abstract
BACKGROUND While survival after surgical treatment of extremity soft tissue sarcoma (STS) is traditionally reported as actuarial survival, conditional survival (CS) may be more clinically relevant as it accounts for time already survived. We compared actuarial survival and CS of STS patients. MATERIALS AND METHODS We analyzed 567 patients who underwent surgery for localized extremity STS. Actuarial survival was estimated using the Kaplan-Meier method. Cox proportional hazards model was used to evaluate factors associated with disease-specific survival. Five-year CS (CS5) estimates at "χ" year(s) after surgery were calculated as CS5 = S(χ + 5)/S(χ). RESULTS Whereas actuarial survival decreased over time, CS5 increased. The postsurgical 1-, 3-, and 5-year CS5 values were 84.5%, 90.0%, and 93.8%, respectively, whereas the 6-, 8-, and 10-year actuarial survival rates were 82.0%, 79.4%, and 78.5%, respectively. The calculated CS5 exceeded actuarial survival especially in patients with risk factors such as large tumor size and Federation Nationale des Centers de Lutte Contre le Cancer (FNCLCC) grades 2 and 3 tumors. Patients with tumor size ≥5 cm had an actuarial survival of 73.9% at 10 years compared to a CS5 of 95.4% in patients alive at 5 years. Likewise, patients with FNCLCC grade 3 tumors had an actuarial survival of 71.1% at 10 years compared to a CS5 of 96.0% in patients alive at 5 years. CONCLUSIONS Survival estimation by determination of CS can be dynamic and accurate especially in high-risk patients. CS can be useful for survival prediction and clinical decision making in extremity STS patients.
Collapse
Affiliation(s)
- Yongsung Kim
- Department of Orthopaedic Surgery, Seoul National University Hospital, Seoul, Korea
| | - Han-Soo Kim
- Department of Orthopaedic Surgery, Seoul National University Hospital, Seoul, Korea.,Department of Orthopaedic Surgery, Seoul National University College of Medicine, Seoul, Korea
| | - Hwan Seong Cho
- Department of Orthopaedic Surgery, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Ilkyu Han
- Department of Orthopaedic Surgery, Seoul National University Hospital, Seoul, Korea.,Department of Orthopaedic Surgery, Seoul National University College of Medicine, Seoul, Korea
| |
Collapse
|
27
|
Kawaguchi Y, Lillemoe HA, Panettieri E, Chun YS, Tzeng CWD, Aloia TA, Kopetz S, Vauthey JN. Conditional Recurrence-Free Survival after Resection of Colorectal Liver Metastases: Persistent Deleterious Association with RAS and TP53 Co-Mutation. J Am Coll Surg 2019; 229:286-294.e1. [PMID: 31054911 DOI: 10.1016/j.jamcollsurg.2019.04.027] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Revised: 03/19/2019] [Accepted: 04/22/2019] [Indexed: 01/05/2023]
Abstract
BACKGROUND Conditional recurrence-free survival (RFS) probability, that is, the probability of remaining recurrence-free after a given interval without recurrence, has not been reported after resection of colorectal liver metastases (CLMs). We aimed to estimate conditional RFS and identify factors affecting conditional RFS. STUDY DESIGN Patients undergoing initial resection of CLMs during 2000-2016 with mutation data were identified. The RFS and risk factors for recurrence were evaluated at the time of resection for all patients and at 1 year and 2 years after resection for patients who remained recurrence-free. RESULTS Of 2,118 patients, 485 met the inclusion criteria, of which 225 were recurrence-free at 1 year and 109 were recurrence-free at 2 years. The 5-year RFS rates were 17.3%, 36.8%, and 70.7% for all patients and the 1-year and 2-year recurrence-free groups, respectively, when assessed from the time of initial CLM resection. RAS/TP53 co-mutation was the only factor independently associated with increased risk of recurrence for all groups (all patients, hazard ratio 1.47; 95% CI 1.19 to 1.82; p < 0.001; 1-year recurrence-free, hazard ratio 1.69; 95% CI 1.17 to 2.43; p = 0.005; 2-year recurrence-free, hazard ratio 2.41; 95% CI 1.12 to 5.17; p = 0.024). T category, extrahepatic disease, multiple CLMs, largest CLM diameter, and surgical margin status were risk factors for recurrence in all patients and/or the 1-year recurrence-free group, but not the 2-year recurrence-free group. Median RFS was lower for patients with RAS/TP53 co-mutation than for those with RAS/TP53 wild-type in the 1-year (1.5 vs 2.8 years; p = 0.006) and 2-year recurrence-free groups (3.0 vs 5.9 years; p = 0.024). CONCLUSIONS Conditional RFS is useful for updating prognosis after a given time interval without recurrence after CLM resection. Importantly, RAS/TP53 co-mutation has a persistent deleterious association with recurrence.
Collapse
Affiliation(s)
- Yoshikuni Kawaguchi
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Heather A Lillemoe
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Elena Panettieri
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Yun Shin Chun
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Ching-Wei D Tzeng
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Thomas A Aloia
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Scott Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jean-Nicolas Vauthey
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.
| |
Collapse
|
28
|
Conditional Survival Analysis of Metastatic Colorectal Cancer Patients Living ≥24 Months: A Single Institutional Study. Am J Clin Oncol 2019; 42:512-518. [PMID: 30973370 DOI: 10.1097/coc.0000000000000535] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVES The survival of patients with metastatic colorectal cancer (CRC) has been increasing over recent decades due to improvements in chemotherapy and surgery. There is a need to refine prognostic information to more accurately predict survival as patients survive for any given length of time to assist multidisciplinary cancer management teams in treatment decisions. MATERIALS AND METHODS We performed a single center retrospective analysis of patients treated with metastatic CRC (unresectable and resectable) who survived >24 months between 2005 and 2015 (N=155). Patient tumor and treatment related variables were collected. Overall survival (OS) estimates conditional on surviving >24 months were compared with actuarial survival estimates of a cohort of patients (33,104 resected, 39,382 unresected) from the National Cancer Database (NCDB). RESULTS With a median follow-up of 44.2 months, the median OS of resected patients (n=86) was not reached. The median OS of unresected patients was 75.9 months. The conditional survival probabilities of living 1, 2, or 3 years longer after 24 months of survival are 92%, 72%, and 52%, respectively, in unresectable patients and 98%, 92%, and 89% in patients who were resected. The corresponding NCDB 1, 2, and 3 year actuarial survival was 38%, 20%, and 11% for unresected patients and 68%, 46%, and 32% for resected. CONCLUSIONS These results indicate that CRC patients who survive 24 months with metastatic colorectal cancer have an excellent prognosis and surgery may be appropriate in a subset of patients initially deemed unresectable.
Collapse
|
29
|
Abstract
Background Gastric metastasis from ovarian serous cystadenocarcinoma is extremely rare. Case presentation We herein report one case of a 45-year-old female with ovarian carcinoma who underwent cytoreductive surgery. Two years later, endoscopic ultrasonography-guided fine needle aspiration revealed gastric metastasis. The patient underwent laparoscopic resection of gastric metastases. She is currently in complete remission. Conclusion Gastric metastasis from ovarian cancer should not be ignored in the clinic.
Collapse
Affiliation(s)
- Shiqiang Yang
- Xintai Hospital Affiliated to Taishan Medical University, Tai'an City, People's Republic of China,
| |
Collapse
|
30
|
Gockley AA, Elias KM. Fallopian tube tumorigenesis and clinical implications for ovarian cancer risk-reduction. Cancer Treat Rev 2018; 69:66-71. [DOI: 10.1016/j.ctrv.2018.06.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Revised: 06/04/2018] [Accepted: 06/09/2018] [Indexed: 12/20/2022]
|
31
|
Zhang G, Li R, Deng Y, Zhao L. Conditional survival of patients with hepatocellular carcinoma: results from the Surveillance, Epidemiology, and End Results registry. Expert Rev Gastroenterol Hepatol 2018. [PMID: 29543072 DOI: 10.1080/17474124.2018.1453806] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Compared with overall survival, conditional survival is a more relevant measure of prognosis in surviving patients over time. The aim of this study was to describe the conditional survival of patients with hepatocellular carcinoma according to different prognostic variables through an analysis of a national population-based cancer registry. METHODS We analyzed data from 3,082 hepatocellular carcinoma patients who were diagnosed between 2004 and 2014. RESULTS The conditional overall and cause-specific survival improved from 37.6% to 68.9% and 45% to 79.1%, respectively, in the entire study population. The conditional overall and cause-specific survival improved from 32.6% to 69.3% and 40.1% to 74.8%, respectively, in patients aged 65 to 74 years. The conditional overall and cause-specific survival improved from 8.4% to 44.1% and 12.1% to 66.1%, respectively, in the stage IVB group. The conditional overall and cause-specific survival improved from 32.8% to 71.4% and 40.3% to 78.4%, respectively, in the positive/elevated AFP group. CONCLUSIONS Conditional survival exhibited an improved prognosis over time. For hepatocellular carcinoma patients who survived for a specific period of time after diagnosis, more dramatic improvements occurred in patients aged 65-74 years, patients with AJCC stage IVB, and patients with a positive/elevated AFP value.
Collapse
Affiliation(s)
- Guoqing Zhang
- a Department of Hepatobiliary and pancreatic surgery , First Affiliated Hospital of Zhengzhou University , Zhengzhou , China
| | - Renfeng Li
- a Department of Hepatobiliary and pancreatic surgery , First Affiliated Hospital of Zhengzhou University , Zhengzhou , China
| | - Yilei Deng
- a Department of Hepatobiliary and pancreatic surgery , First Affiliated Hospital of Zhengzhou University , Zhengzhou , China
| | - Longshuan Zhao
- a Department of Hepatobiliary and pancreatic surgery , First Affiliated Hospital of Zhengzhou University , Zhengzhou , China
| |
Collapse
|
32
|
Chen S, Yang L, Feng J. Nitidine chloride inhibits proliferation and induces apoptosis in ovarian cancer cells by activating the Fas signalling pathway. J Pharm Pharmacol 2018. [DOI: 10.1111/jphp.12901] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Abstract
Objectives
To explore the apoptotic effects and underlying mechanisms of nitidine chloride (NC) in epithelial ovarian cancer.
Methods
The MTT cell proliferation assay was used to detect the inhibitory effects of different concentrations of NC (0, 0.3125, 0.625, 1.25, 2.5, 5 and 10 μg/ml) in SKOV3 ovarian carcinoma cells. The number of apoptotic cells was observed by Hoechst staining and measured by flow cytometry. Quantitative PCR was used to measure the expression of Fas, Fas-associated death domain-containing protein (FADD), caspase-8 and caspase-3. RNA interference (RNAi) was used to determine whether caspase-8 played an important role in NC-induced apoptosis.
Key findings
Nitidine chloride inhibited the proliferation of SKOV3 cells (IC50 = 2.317 ± 0.155 μg/ml) after 24 h of treatment and induced apoptosis (15.9–64.3%). Compared with the control group, a significant increase in Fas, FADD, caspase-8 and caspase-3 gene expression was observed in the NC-treated groups (P < 0.05). After silencing caspase-8 by RNAi, the antiproliferative activity and pro-apoptotic activity of NC in SKOV3 cells decreased (P < 0.05).
Conclusions
Our study showed that NC induced apoptosis in SKOV3 cells by activating the Fas signalling pathway, and caspase-8 played an important role in this process.
Collapse
Affiliation(s)
- Shipeng Chen
- School of Pharmaceutical Sciences, Guangxi Medical University, Nanning, Guangxi, China
| | - Luo Yang
- School of Pharmaceutical Sciences, Guangxi Medical University, Nanning, Guangxi, China
| | - Jie Feng
- School of Pharmaceutical Sciences, Guangxi Medical University, Nanning, Guangxi, China
| |
Collapse
|
33
|
Wu YS, Shui L, Shen D, Chen X. Bevacizumab combined with chemotherapy for ovarian cancer: an updated systematic review and meta-analysis of randomized controlled trials. Oncotarget 2018; 8:10703-10713. [PMID: 27793044 PMCID: PMC5354693 DOI: 10.18632/oncotarget.12926] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Accepted: 10/21/2016] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND This meta-analysis was updated with results from a new trial and final data to reassess the efficacy and safety of bevacizumab combined with chemotherapy in ovarian cancer (OC). METHODS Randomized controlled trials (RCTs) were searched in PubMed, EMBASE, Cochrane clinical trials, Web of Science and clinicaltrial.gov databases. Outcomes included the progression-free survival (PFS), overall survival (OS), objective response rate (ORR) and common adverse events. The hazard ratio (HR), risk ratio (RR) and odds ratio (OR) were pooled when the meta-analysis was performed. RESULTS Five RCTs with 4994 patients were included. In overall newly diagnosed OC, bevacizumab combined with chemotherapy did not significantly improve PFS (HR 0.85, 95%CI 0.70-1.02) or OS (HR 0.94, 95%CI 0.84-1.05). In the high-risk progression subgroup, the addition of bevacizumab significantly improved PFS (HR 0.76, 95%CI 0.68-0.84) and OS (HR 0.85, 95%CI 0.74-0.96). In recurrent OC, the addition of bevacizumab to chemotherapy significantly extended PFS (HR 0.53, 95%CI 0.45-0.63) and OS (HR 0.87, 95%CI 0.77-0.99). The ORR was improved (OR 2.37, 95%CI 1.99-2.82) in the overall population. Bevacizumab increased the incidence of hypertension (RR 21.27, 95%CI 9.42-48.02), proteinuria (RR 4.77, 95%CI 2.15-10.61), bleeding (RR 3.16, 95%CI 1.59-6.30), GI perforations (RR 2.76, 95%CI 1.51-5.03), arterial thrombosis events (RR 2.39, 95%CI 1.39-4.10) and venous thrombosis events (RR 1.43, 95%CI 1.04-1.96). CONCLUSIONS Bevacizumab combined with chemotherapy significantly improved PFS and OS in both patients with high-risk of progression and patients with recurrent OC, with an increased incidence of common adverse events. However, no statistically significant survival benefit was identified in the front-line settings.
Collapse
Affiliation(s)
- Yu Shen Wu
- Department of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, P.R. China
| | - Lin Shui
- Department of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, P.R. China
| | - Dan Shen
- Department of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, P.R. China
| | - Xiaopin Chen
- Department of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, P.R. China
| |
Collapse
|
34
|
Dissecting the Evolving Risk of Relapse over Time in Surveillance for Testicular Cancer. Adv Urol 2018; 2018:7182014. [PMID: 29670653 PMCID: PMC5836309 DOI: 10.1155/2018/7182014] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Accepted: 11/27/2017] [Indexed: 01/10/2023] Open
Abstract
Testicular cancer is the most common malignancy in young men, and the incidence is increasing in most countries worldwide. The vast majority of patients present with clinical stage I disease, and surveillance is being increasingly adopted as the preferred management strategy. At the time of diagnosis, patients on surveillance are often counselled about their risk of relapse based on risk factors present at diagnosis, but this risk estimate becomes less informative in patients that have survived a period of time without experiencing relapse. Conditional survival estimates, on the other hand, provide information on a patient's evolving risk of relapse over time. In this review, we describe the concept of conditional survival and its applications for surveillance of clinical stage I seminoma and nonseminoma germ cell tumours. These estimates can be used to tailor surveillance protocols based on future risk of relapse within risk subgroups of seminoma and nonseminoma, which may reduce the burden of follow-up for some patients, physicians, and the health care system. Furthermore, conditional survival estimates provide patients with a meaningful, evolving risk estimate and may be helpful to reassure patients and reduce potential anxiety of being on surveillance.
Collapse
|
35
|
Zhu H, Gao J, Wang L, Qian KJ, Cai LP. In vitro study on reversal of ovarian cancer cell resistance to cisplatin by naringin via the nuclear factor-κB signaling pathway. Exp Ther Med 2018; 15:2643-2648. [PMID: 29456667 DOI: 10.3892/etm.2018.5695] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2016] [Accepted: 04/11/2017] [Indexed: 12/29/2022] Open
Abstract
The aim of the present study was to investigate the mechanism of action by which naringin reverses the resistance of ovarian cancer cells to cisplatin. Semi-quantitative reverse transcription polymerase chain reaction (RT-PCR) and western blotting assays were used to detect the effects of different concentrations of naringin on the expressions of nuclear factor (NF)-κB and P-glycoprotein (P-gp) in the SKOV3/CDDP cell line. Small interfering RNA (siRNA) targeting NF-κB was designed and synthesized to silence NF-κB, and recombinant plasmid vectors overexpressing NF-κB were constructed to transfect cells. RT-qPCR and western blotting assays were subsequently performed to detect the effects of NF-κB on the expression of P-gp at the mRNA and protein levels. Naringin was added to the NF-κB-overexpressing SKOV3/CDDP cells and cultured for 48 h, followed by the detection of the expression of P-gp. RT-PCR and western blotting results demonstrated that the gene and protein expressions of NF-κB and P-gp were significantly decreased in a dose-dependent manner by naringin treatment (P<0.05). In cells overexpressing NF-κB, P-gp expression was significantly elevated (P<0.05), and the expression of P-gp was significantly decreased when NF-κB was silenced (P<0.05). Treatment with naringin was able to significantly ameliorate the NF-κB-induced overexpression of P-gp (P<0.05). These results indicate that naringin is able to inhibit the expression of NF-κB and P-gp in SKOV3/CDDP cells. Such an inhibitory effect may increase gradually with concentration, and is associated with blockade of the NF-κB signaling pathway. This pathway may represent one of the mechanisms of action by which Naringin reverses resistance to platinum-based agents in ovarian cancer cells.
Collapse
Affiliation(s)
- Hong Zhu
- Department of Clinical Medicine, Medical College of Nanchang University, Nanchang, Jiangxi 330006, P.R. China
| | - Jun Gao
- Department of Gynecology, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China
| | - Lei Wang
- Department of Gynecology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China
| | - Ke-Jian Qian
- Department of Critical Care Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China
| | - Li-Ping Cai
- Department of Gynecology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, P.R. China
| |
Collapse
|
36
|
Conditional survival in patients with gallbladder cancer. CHINESE JOURNAL OF CANCER 2017; 36:85. [PMID: 29084608 PMCID: PMC5663056 DOI: 10.1186/s40880-017-0252-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 10/19/2017] [Indexed: 12/18/2022]
Abstract
Background Conditional survival (CS) has been established as a clinically relevant prognostic factor for cancer survivors, and the CS in gallbladder (GB) cancer has not yet been fully evaluated. In this study, we evaluated the cancer-specific CS rate and cancer-specific survival (CSS) rate in patients with GB cancer at multiple time points and investigated prognostic factors which affect cancer-specific CS rate to provide more accurate survival information. Methods Between 2004 and 2013, a total of 9760 patients with GB cancer were identified from the Surveillance, Epidemiology, and End Results (SEER) data. The 3-year cancer-specific CS rate was calculated using the covariate-adjusted survival function in the Cox model for each year since diagnosis, and the results were analyzed together with the adjusted CSS rates at the same time points. Cox proportional hazards regression was performed to ascertain the individual contribution of factors associated with CSS rate at diagnosis and cancer-specific CS rates at 1, 3, and 5 years after diagnosis. Results The adjusted 5-year CSS rate was 26.1%. The adjusted 3-year cancer-specific CS rates at 1, 2, 3, 4, and 5 years after diagnosis were 55.5, 72.2, 81.5, 86.8, and 90.5%, respectively. At the time of diagnosis, age, race, histology, grade, T, N, and M categories, surgery, radiotherapy, insurance status, and marriage status were significant prognostic factors of CSS. Five years after diagnosis, however, T and M categories were significant prognostic factors for survivors (P = 0.007 and P = 0.009, respectively), whereas surgery and radiotherapy were not. Conclusions T and M categories were significant prognostic factors even 5 years after the initial diagnosis, whereas local treatments at the time of diagnosis were not, suggesting that patients with GB cancer at high risks might need further adjuvant therapy after primary treatments. The combined analysis of CSS and cancer-specific CS rates offered more accurate survival information for patients who have already survived a certain period of time after diagnosis.
Collapse
|
37
|
Conditional survival estimate in patients with Barcelona Clinic Liver Cancer stage B/C hepatocellular carcinoma treated with hepatic arterial infusion chemotherapy with/without concurrent radiotherapy. Oncotarget 2017; 8:79914-79926. [PMID: 29108373 PMCID: PMC5668106 DOI: 10.18632/oncotarget.20321] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Accepted: 08/04/2017] [Indexed: 12/14/2022] Open
Abstract
Conditional survival (CS) provides a prognosis of patients who have already survived several years after treatment. We investigated CS in Barcelona Clinic Liver Cancer (BCLC) stage B/C hepatocellular carcinoma (HCC) patients treated with hepatic arterial infusion chemotherapy (HAIC) with or without concurrent radiotherapy (CRT). A total of 181 patients diagnosed with HCC who were treated with HAIC with or without CRT between 2011 and 2015 were retrospectively reviewed. Overall survival (OS) and CS were calculated and a subgroup analysis was performed. The 1- and 5-year survival rates of all patients were 57.0% and 24.3%. OS was significantly higher in patients with BCLC stage B than BCLC stage C patients. Patients who achieved disease control after treatment also showed longer OS than who did not respond to treatment. Provided that the patient had already survived for 0, 1, 2, and 3 years, the CS estimates of surviving an additional 2 years were 35.6%, 55.1%, 82.0%, and 77.4%, respectively. A subgroup analysis was performed to compare BCLC stage B and C patients and revealed that CS has a tendency to increase and the difference in CS between two groups decreased over time. CS reflects the change of prognosis over time and may provide a more accurate prognosis and hopeful message to patients who have already survived with treatment.
Collapse
|
38
|
Lutgendorf SK, Shinn E, Carter J, Leighton S, Baggerly K, Guindani M, Fellman B, Matzo M, Slavich GM, Goodman MT, Tew W, Lester J, Moore KM, Karlan BY, Levine DA, Sood AK. Quality of life among long-term survivors of advanced stage ovarian cancer: A cross-sectional approach. Gynecol Oncol 2017; 146:101-108. [PMID: 28527672 DOI: 10.1016/j.ygyno.2017.05.008] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Revised: 05/05/2017] [Accepted: 05/07/2017] [Indexed: 11/28/2022]
Abstract
PURPOSE Long-term survival of women with advanced-stage ovarian cancer is relatively rare. Little is known about quality of life (QOL) and survivorship concerns of these women. Here, we describe QOL of women with advanced-stage ovarian cancer surviving for 8.5 years or longer and compare women with 0-1 recurrence to those with multiple recurrences. METHODS Participants (n=56) recruited from 5 academic medical centers and the Ovarian Cancer Research Fund Alliance completed surveys regarding QOL (FACT-O), mood (CESD), social support (SPS), physical activity (IPAQ-SF), diet, and clinical characteristics. Median survival was 14.0 years (range 8.8-33.3). RESULTS QOL and psychological adjustment of long-term survivors was relatively good, with mean FACT-G scores (multiple recurrences: 80.81±13.95; 0-1 recurrence: 89.05 ±10.80) above norms for healthy community samples (80.1±18.1). Survivors with multiple recurrences reported more compromised QOL in domains of physical and emotional well-being (p <.05), and endorsed a variety of physical and emotional concerns compared to survivors with 0-1 recurrence. Difficulties in sexual functioning were common in both groups. Almost half (43%) of the survivors reported low levels of physical activity. CONCLUSIONS Overall, women with advanced-stage ovarian cancer who have survived at least 8.5 years report good QOL and psychological adjustment. QOL of survivors with multiple recurrences is somewhat impaired compared to those with 0-1 recurrence. Limitations include a possible bias towards participation by healthier survivors, thus under-representing the level of compromise in long-term survivors. Health care practitioners should be alert to psychosocial issues faced by these long-term survivors to provide interventions that enhance QOL.
Collapse
Affiliation(s)
- Susan K Lutgendorf
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, USA; Department of Obstetrics and Gynecology, University of Iowa, Iowa City, IA, USA; Department of Urology, University of Iowa, Iowa City, IA, USA; Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, USA.
| | - Eileen Shinn
- Department of Behavioral Science, Division of OVP, Cancer Prevention and Population Sciences, The University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA
| | - Jeanne Carter
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Gynecology Service, Department of Psychiatry and Surgery Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Susan Leighton
- Ovarian Cancer Research Fund Alliance, Washington, DC, United States
| | - Keith Baggerly
- Department of Bioinformatics and Computational Biology, Division of Quantitative Sciences, University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA
| | - Michele Guindani
- Department of Biostatistics, Division of Quantitative Sciences, University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA
| | - Bryan Fellman
- Department of Biostatistics, Division of Quantitative Sciences, University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA
| | - Marianne Matzo
- College of Family Medicine, Stephenson Oklahoma Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - George M Slavich
- Cousins Center for Psychoneuroimmunology, Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Marc T Goodman
- Cancer Prevention and Genetics Program, Samuel Oschin Comprehensive Cancer Institute, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - William Tew
- Gynecologic Medical Oncology Service, Memorial Sloan Kettering Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Jenny Lester
- Women's Cancer Program, Samuel Oschin Comprehensive Cancer Institute, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Kathleen M Moore
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Stephenson Oklahoma Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Beth Y Karlan
- Women's Cancer Program, Samuel Oschin Comprehensive Cancer Institute, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Douglas A Levine
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anil K Sood
- Department of Gynecologic Oncology, University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA; Department of Cancer Biology, University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA; Center for RNA Interference and Noncoding RNA, University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA
| |
Collapse
|
39
|
Conditional Survival Analysis of Patients With Locally Advanced Laryngeal Cancer: Construction of a Dynamic Risk Model and Clinical Nomogram. Sci Rep 2017; 7:43928. [PMID: 28276466 PMCID: PMC5343446 DOI: 10.1038/srep43928] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Accepted: 02/01/2017] [Indexed: 11/14/2022] Open
Abstract
Conditional survival (CS), the survival beyond a pre-defined time interval, can identify periods of higher mortality risk for patients with locally advanced laryngeal cancer who face treatment-related toxicity and comorbidities related to alcohol and smoking in the survivorship setting. Using Weibull regression modeling, we analyzed retrospectively abstracted data from 638 records of patients who received radiation to identify prognostic factors for overall survival (OS) and recurrence free survival (RFS) for the first 3 years of survival and for OS conditional upon 3 years of survival. The CS was iteratively calculated, stratifying on variables that were statistically significant on multivariate regression. Predictive nomograms were generated. The median total follow up time was 175 months. The 3- and 6- year actuarial overall survival (OS) was 68% (95% confidence interval [CI] 65–72%) and 49% (CI 45–53%). The 3-year conditional overall survival (COS) at 3 years was 72% (CI 65–74%). Black patients had worse COS over time. Nodal disease was significantly associated with recurrence, but after 3 years, the 3-year conditional RFS converged for all nodal groups. In conclusion, the CS analysis in this patient cohort identified subgroups and time intervals that may represent opportunities for intervention.
Collapse
|
40
|
Ji T, Guo W, Yang R, Tang X, Wang Y, Huang L. What Are the Conditional Survival and Functional Outcomes After Surgical Treatment of 115 Patients With Sacral Chordoma? Clin Orthop Relat Res 2017; 475:620-630. [PMID: 26975382 PMCID: PMC5289164 DOI: 10.1007/s11999-016-4773-8] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND Conditional survival is a measure of prognosis for patients who have already survived for a specific period of time; however, data on conditional survival after sacrectomy in patients with sacral chordoma are lacking. In addition, because sacral tumors are rare and heterogeneous, classifying them in a way that allows physicians to predict functional outcomes after sacrectomy remains a challenge. QUESTIONS/PURPOSES (1) What is the overall survival and disease-free survival in patients treated by sacrectomy for chordoma? (2) What is the conditional survival probability and how do prognostic factors change over time in patients undergoing surgical resection for sacral chordoma? (3) What is the local recurrence rate after surgery, how was it treated, and what factors impact on local recurrence? (4) What is the postoperative motor, sensory, bowel, and bladder function by level of resection as determined by using a newly designed scoring method? METHODS Between 2003 and 2012, our center treated 122 patients surgically for sacral chordoma. Of those, two died and five were lost before a minimum followup of 1 year was achieved, leaving 115 patients available for analysis in this retrospective study at a mean of 4.9 years (range, 1.3-10.8 years). Basically, single posterior or combined approaches were chosen based on the most cephalad extent of the tumor and resection level was normally at half or one sacral vertebrae above the tumor. The 5-year conditional survival rate was calculated based on Kaplan-Meier survival analysis. The effect of prognostic factors on conditional survival was also explored. A newly designed score method was proposed and adopted in the current study to critically evaluate the functional outcome after resection of the sacrum. Inter- and intraobserver reliability was tested by a preliminary study using kappa statistics and Spearman rank correlation coefficients. Significant interobserver (p < 0.01) and intraobserver agreement (κ > 0.75) were found in nine items between each observer. RESULTS The estimated 5-year overall survival rate was 81% (95% confidence interval [CI], 72%-90%) at diagnosis. The 5-year disease-free survival rate was 52% (95% CI, 43%-63%). The 5-year conditional overall survival decreased with each additional year in the first 4 years (81% at diagnosis versus 60% at the fourth year, p < 0.0001) and increased slightly in the fifth year. Patients with adequate surgical margins displayed a higher 5-year survival than those with an inadequate margin (86% [95% CI, 76%-95%] versus 67% [95% CI, 48%-85%], p = 0.01) at diagnosis. Conditional survival estimates for patients who received operations elsewhere were lower than that of newly diagnosed patients treated by us at diagnosis (64% [95% CI, 46%-83%] versus 90% [95% CI, 82%-99%], p = 0.012), but with the numbers we had, we could not detect a difference in conditional survival between those treated elsewhere first compared with those initially treated by us at 5 years. The proposed score system for function evaluation was able to distinguish different levels of resection. The overall functional results for the preservation of bilateral S1, S2, and S3 were 40 ± 8%, 60 ± 12%, and 82 ± 11%, respectively. Patients who had preservation of only one S3 nerve root had more severe incontinence (1.99 ± 0.79 versus 2.60 ± 0.63, p = 0.01) and more sensory loss (1.88 ± 0.82 versus 2.31 ± 0.59, p = 0.02) than those patients with preservation of bilateral S3 nerve roots. CONCLUSIONS The 5-year conditional survival for sacral chordoma decreased with each additional year and began to improve after the fourth year. In addition, the effect of the surgical margin and influence of previous surgery on conditional survival were not linear over time. The level of nerve root resections corresponded with the overall function scores according to the proposed scoring method. This information and scoring system should be valuable in discussing outcomes of sacrectomy in patients with chordoma who are considering this operation and serve as the basis for further study. LEVEL OF EVIDENCE Level III, therapeutic study.
Collapse
Affiliation(s)
- Tao Ji
- 0000 0001 2256 9319grid.11135.37Musculoskeletal Tumor Center, People’s Hospital, Peking University, Beijing, China
| | - Wei Guo
- 0000 0001 2256 9319grid.11135.37Musculoskeletal Tumor Center, People’s Hospital, Peking University, Beijing, China
| | - Rongli Yang
- 0000 0001 2256 9319grid.11135.37Musculoskeletal Tumor Center, People’s Hospital, Peking University, Beijing, China
| | - Xiaodong Tang
- 0000 0001 2256 9319grid.11135.37Musculoskeletal Tumor Center, People’s Hospital, Peking University, Beijing, China
| | - Yifei Wang
- 0000 0001 2256 9319grid.11135.37Musculoskeletal Tumor Center, People’s Hospital, Peking University, Beijing, China
| | - Lin Huang
- 0000 0001 2256 9319grid.11135.37Musculoskeletal Tumor Center, People’s Hospital, Peking University, Beijing, China
| |
Collapse
|
41
|
Phosphatase and Tensin Homolog Is a Potential Target for Ovarian Cancer Sensitization to Cytotoxic Agents. Int J Gynecol Cancer 2017; 26:632-9. [PMID: 26905328 DOI: 10.1097/igc.0000000000000657] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES The phosphatase and tensin homolog (PTEN) tumor suppressor protein has been found to be inactivated or mutated in various human malignancies and to play a role in cisplatin and poly(ADP-ribose) polymerase inhibitor sensitivity. In this study, we assessed the association of PTEN loss with homologous recombination (HR) deficiency and increased chemosensitivity. MATERIALS AND METHODS The PTEN knockdown models were created using MISSION shRNA lentiviral transduction particles in cell lines derived from normal ovarian surface epithelium and a mixed endometrioid/clear-cell carcinoma. Sensitivity to common therapeutics was assessed using sulforhodamine B assay. Twenty-eight unselected primary epithelial ovarian cancer cultures derived from ascitic fluid collected at the time of surgery and matched genomic DNA were assessed for PTEN mutations using polymerase chain reaction amplification and Sanger sequencing and for mRNA expression using quantitative reverse transcription-polymerase chain reaction; HR was determined using γH2AX/RAD51 assay. The Cancer Genome Atlas data were analyzed using cBioPortal. RESULTS In the carcinoma cell line, the PTEN knockdown enhanced sensitivity to cisplatin, rucaparib, doxorubicin, camptothecin, paclitaxel, and irradiation. In the primary ovarian cancer cultures, 2 point mutations were found (1105T>TG, 25L>L in 6 cultures and 1508G>GA, 159R>R in 4 cultures). The PTEN mRNA expression varied over 40-fold between the cultures, but did not correlate with HR status or in vitro sensitivity to cisplatin or rucaparib. The Cancer Genome Atlas data showed a rate of 8% alteration in PTEN and a trend toward improved survival in PTEN-mutated cases. CONCLUSIONS These data indicate that although PTEN mutations in ovarian cancer are rare, PTEN inhibition results in therapeutic sensitization. Therefore, PTEN may be an important therapeutic target, in at least some cancers.
Collapse
|
42
|
Nayan M, Jewett MA, Hosni A, Anson-Cartwright L, Bedard PL, Moore M, Hansen AR, Chung P, Warde P, Sweet J, O’Malley M, Atenafu EG, Hamilton RJ. Conditional Risk of Relapse in Surveillance for Clinical Stage I Testicular Cancer. Eur Urol 2017; 71:120-127. [DOI: 10.1016/j.eururo.2016.07.013] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2016] [Accepted: 07/08/2016] [Indexed: 10/21/2022]
|
43
|
Xiao WJ, Zhu Y, Dai B, Zhang HL, Shi GH, Shen YJ, Zhu YP, Ye DW. Conditional survival among patients with adrenal cortical carcinoma determined using a national population-based surveillance, epidemiology, and end results registry. Oncotarget 2016; 6:44955-62. [PMID: 26510907 PMCID: PMC4792603 DOI: 10.18632/oncotarget.5831] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2014] [Accepted: 10/01/2015] [Indexed: 11/29/2022] Open
Abstract
Surgical excision is essential for management of the rare and aggressive neoplasm adrenal cortical carcinoma (ACC). Five-year overall survival (OS) after surgery for ACC is dependent on disease stage, but for all stages the risk of death declines with time after surgery. We calculated the effect of post-surgical duration on conditional survival (CS) among ACC patients. A total of 641 patients with M0 ACC were selected from the Surveillance, Epidemiology, and End Results (SEER) registry (1988–2012). OS for the entire cohort at 1, 2, 3, 4, 5 and 6 years was 81.4%, 66.8%, 56.3%, 50.3%, 47.2% and 44.3%, respectively. CS for an additional year given prior survival for 0, 1, 2, 3, 4 or 5 years was 81.4%, 81.1%, 83.0%, 87.5%, 93.4% and 93.4%, respectively. Age, tumor stage, tumor grade and marital status affected OS and CS. Increases in 1-year CS over time were more pronounced in patients with poorer prognostic factors. With longer follow-up, tumor stage- and grade-dependent differences in CS decreased or even disappeared. CS may provide more meaningful life expectancy predictions for survivors of ACC than conventional survival analysis.
Collapse
Affiliation(s)
- Wen-jun Xiao
- Department of Urology, Fudan University Shanghai Cancer Centre, Shanghai 200032, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, People's Republic of China
| | - Yao Zhu
- Department of Urology, Fudan University Shanghai Cancer Centre, Shanghai 200032, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, People's Republic of China
| | - Bo Dai
- Department of Urology, Fudan University Shanghai Cancer Centre, Shanghai 200032, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, People's Republic of China
| | - Hai-liang Zhang
- Department of Urology, Fudan University Shanghai Cancer Centre, Shanghai 200032, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, People's Republic of China
| | - Guo-hai Shi
- Department of Urology, Fudan University Shanghai Cancer Centre, Shanghai 200032, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, People's Republic of China
| | - Yi-jun Shen
- Department of Urology, Fudan University Shanghai Cancer Centre, Shanghai 200032, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, People's Republic of China
| | - Yi-ping Zhu
- Department of Urology, Fudan University Shanghai Cancer Centre, Shanghai 200032, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, People's Republic of China
| | - Ding-wei Ye
- Department of Urology, Fudan University Shanghai Cancer Centre, Shanghai 200032, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, People's Republic of China
| |
Collapse
|
44
|
Conditional Survival of Esophageal Cancer: An Analysis from the SEER Registry (1988-2011). J Thorac Oncol 2016; 10:1490-7. [PMID: 26322395 DOI: 10.1097/jto.0000000000000649] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
INTRODUCTION Conditional survival can provide valuable predictive information for both patients and caregivers for patients surviving over time. The purpose of this study was to estimate conditional survival for esophageal cancer patients through analysis of a national population-based cancer registry. METHODS This retrospective cohort study analyzed 64,433 patients within the Surveillance, Epidemiology, and End Results (SEER) data set who were diagnosed with esophageal cancer from 1988 to 2011. Covariates included cancer characteristics and demographics. Overall survival (defined as time from diagnosis until death), cause-specific survival (defined as time from diagnosis until death from cancer), and 5-year conditional survivals (the probability of surviving an additional 5 years) were calculated. Significant prognostic variables of univariate and multivariable models of survival were identified. RESULTS The multivariable models of overall and cause-specific survivals included gender, age group, race, relationship status, year of diagnosis, site, grade, histology, and stage group. Although all patients showed an improvement in conditional survival over time, more dramatic improvements were seen in more advanced stage groups. At the 5-year mark, conditional cause-specific survival of distant stage (defined as having spread by direct extension or metastasis to distant organs, tissues, or lymph nodes) increased from 4% to 79%, whereas regional stage increased from 18% to 77% and localized stage increased from 38% to 85%. CONCLUSIONS Conditional survival showed improving prognosis over time. Patients with advanced stage had the most dramatic improvement. Clinicians, caregivers, and patients with esophageal cancer can feel encouraged by the improving prognosis with each year survived. This information has practical implications regarding longitudinal follow-up guidelines and survivorship planning.
Collapse
|
45
|
Conditional Survival in Anal Carcinoma Using the National Population-Based Survey of Epidemiology and End Results Database (1988-2012). Dis Colon Rectum 2016; 59:291-8. [PMID: 26953987 DOI: 10.1097/dcr.0000000000000555] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
BACKGROUND Conditional survival can provide valuable information for both patients and healthcare providers about the changing prognosis in surviving patients over time. OBJECTIVE This study estimated conditional survival for patients with anal cancer in the United States through analysis of a national population-based cancer registry. DESIGN Log-rank test identified significant covariates of cause-specific survival (defined as time from diagnosis until death from anal cancer). Significant covariates were considered in the multivariable regression of cause-specific survival using Cox proportional hazards models. SETTINGS Covariates included cancer stage and demographic variables. PATIENTS Patients in Surveillance, Epidemiology, and End Results regions diagnosed with anal squamous cell carcinoma as their first and only cancer diagnosis from 1988 to 2012 were selected from this database, and 5145 patients were included in the retrospective cohort study. MAIN OUTCOME MEASURE Five-year conditional survival stratified by each variable in the final Cox models was measured RESULTS : The final multivariable models of overall and cause-specific survivals included stage, grade, sex, age, race, and relationship status. Over the first 6 years after diagnosis, conditional survival of distant stage increased from 37% to 89%, whereas regional stage increased from 65% to 93% and localized stage increased from 84% to 96%. The other variables had increasing prognosis as well, but the subgroups increased at a more similar rate over time. LIMITATIONS The data source used does not include information on chemotherapy treatment, patient comorbidities, or socioeconomic status. CONCLUSIONS Conditional survival showed improvement over time. Patients with advanced stage had the greatest improvement in conditional survival. This is the first study to provide specific conditional survival probabilities for patients with anal cancer.
Collapse
|
46
|
Conditional survival of malignant thymoma using national population-based surveillance, epidemiology, and end results (SEER) registry (1973-2011). J Thorac Oncol 2015; 10:701-7. [PMID: 25590603 DOI: 10.1097/jto.0000000000000472] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
INTRODUCTION Thymoma is a rare and unique tumor with a long natural history that makes it difficult to study. Consequently, there is a dearth of prospective diagnostic or therapeutic clinical trials. To our knowledge, there has not been an analysis of conditional survival of thymoma in the literature. The specific aim of this study was to study the 5-year conditional survivals of a large population of thymoma patients. METHODS Cases of thymoma were extracted from the Surveillance, Epidemiology, and End Results registry (1973-2011) and categorized into Masaoka-Koga stage groupings. The primary outcomes compared overall survival (OS), cause specific survival (CSS), and 5-year conditional OS and CSS, by stage. OS and CSS were calculated using the Kaplan-Meier method with the log-rank test for significance using SAS v9.3. Conditional survival was the probability of surviving an additional 5 years at any point in follow-up, and used analysis of variance to test significance. RESULTS A total of 2182 patients met inclusion criteria and were categorized as Masaoka-Koga stage groupings of I and IIA ("localized," 24%), IIB ("regional," 16%), III and IV ("distant," 50%), and unknown (10%). Median age was 56 (18-91), and 53% were male. Earlier stages had better OS (p < 0.0001) and CSS (p < 0.0001). Twenty-year OS for local, regional, and distant stages were 42%, 30%, and 18%, respectively. Conditional survivals remained largely unchanged throughout follow-up. CONCLUSIONS Conditional survival provides more relevant survival estimates for patients during follow-up. Further studies should investigate the possibility that thymoma should be considered a chronic disease.
Collapse
|
47
|
Facciorusso A, Del Prete V, Antonino M, Neve V, Amoruso A, Crucinio N, Di Leo A, Barone M. Conditional survival analysis of hepatocellular carcinoma patients treated with radiofrequency ablation. Hepatol Res 2015; 45:E62-72. [PMID: 25472869 DOI: 10.1111/hepr.12458] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2014] [Revised: 11/17/2014] [Accepted: 11/24/2014] [Indexed: 02/05/2023]
Abstract
AIM Survival estimates are commonly reported as survival from the first observation, but future survival probability changes based on the survival time already accumulated after therapy, otherwise known as conditional survival (CS). The aim of the study was to describe CS according to different prognostic variables in hepatocellular carcinoma (HCC) patients treated with radiofrequency ablation (RFA). METHODS Data on 125 very early/early HCC patients treated with RFA between 1999 and 2007 were analyzed. Actuarial survival estimates were computed by means of Kaplan-Meier method and compared by log-rank test. The 5-year CS was calculated with stratification by several predictors for patients who had already survived up to 5 years from diagnosis. RESULTS Median overall survival (OS) was 72 months (95% confidence interval [CI], 58-86). Age, Child-Pugh (CP), α-fetoprotein (AFP), Cancer of the Liver Italian Program (CLIP) score and type of recurrence (early vs late) were significant predictors of OS. The 5-year CS rates of the entire study cohort assessed at 1, 2, 3 and 5 years from the treatment were 49%, 48%, 30% and 34%, respectively. Subgroup analysis confirmed age and CP as significant predictors of CS at all time points, while the CS of subgroups stratified by AFP and CLIP did not differ significantly from the 3rd year after RFA onward, as more advanced patients had probably escaped early recurrence. CONCLUSION CS analysis showed that the impact of different variables influencing OS is not linear over time after RFA. Information derived from the study can improve the current management of HCC patients.
Collapse
Affiliation(s)
- Antonio Facciorusso
- Gastroenterology Unit, Department of Medical and Surgical Sciences, University of Foggia, Ospedali Riuniti Foggia, Italy
| | - Valentina Del Prete
- Gastroenterology Unit, Department of Medical and Surgical Sciences, University of Foggia, Ospedali Riuniti Foggia, Italy
| | - Matteo Antonino
- Gastroenterology Unit, Department of Medical and Surgical Sciences, University of Foggia, Ospedali Riuniti Foggia, Italy
| | - Viviana Neve
- Gastroenterology Unit, Department of Medical and Surgical Sciences, University of Foggia, Ospedali Riuniti Foggia, Italy
| | - Annabianca Amoruso
- Gastroenterology Unit, Department of Medical and Surgical Sciences, University of Foggia, Ospedali Riuniti Foggia, Italy
| | - Nicola Crucinio
- Gastroenterology Unit, Department of Medical and Surgical Sciences, University of Foggia, Ospedali Riuniti Foggia, Italy
| | - Alfredo Di Leo
- Gastroenterology Unit, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy
| | - Michele Barone
- Gastroenterology Unit, Department of Medical and Surgical Sciences, University of Foggia, Ospedali Riuniti Foggia, Italy
| |
Collapse
|
48
|
Dinkelspiel HE, Champer M, Hou J, Tergas A, Burke WM, Huang Y, Neugut AI, Ananth CV, Hershman DL, Wright JD. Long-term mortality among women with epithelial ovarian cancer. Gynecol Oncol 2015; 138:421-8. [PMID: 26050923 PMCID: PMC4522327 DOI: 10.1016/j.ygyno.2015.06.005] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2015] [Revised: 06/02/2015] [Accepted: 06/03/2015] [Indexed: 12/19/2022]
Abstract
OBJECTIVES Patients with solid tumors are at greatest risk for dying from their cancers in the five years following diagnosis. For most malignancies, deaths from other chronic diseases begin to exceed those from cancer at some point. As little is known about the causes of death among long-term survivors of ovarian cancer, we examined causes of death by years from diagnosis. METHODS The Surveillance, Epidemiology, and End Results (SEER) database was used to identify women diagnosed with ovarian cancer between 1988 and 2012. We compared causes of death by stage, age, and interval time after diagnosis. RESULTS A total of 67,385 women were identified. For stage I neoplasms, 13.6% (CI, 13.0-14.2%) died from ovarian cancer, 4.2% (CI, 3.8-4.5%) from cardiovascular disease, 3.6% (CI, 3.3-3.9%) from other causes and 2.6% (CI, 2.4-2.9%) from other tumors; ovarian cancer was the leading cause of death until 7 years after diagnosis after which time deaths are more frequently due to other causes. For those with stage III-IV tumors, 67.8% (CI, 67.3-68.2%) died from ovarian cancer, 2.8% (CI, 2.6-2.9%) from other causes, 2.3% (CI, 2.2-2.4%) from cardiovascular disease and 1.9% (CI, 1.7-2.0%) from other cancers; ovarian cancer was the most frequent cause of death in years 1-15 after which time deaths were more commonly due to other causes. CONCLUSIONS The probability of dying from ovarian cancer decreases with time. Ovarian cancer remains the most common cause of death for 15 years after diagnosis in women with stage III-IV tumors.
Collapse
Affiliation(s)
- Helen E Dinkelspiel
- Department of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, United States
| | - Miriam Champer
- Department of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, United States
| | - June Hou
- Department of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, United States; Herbert Irving Comprehensive Cancer Center, Columbia University College of Physicians and Surgeons, United States; New York Presbyterian Hospital, United States
| | - Ana Tergas
- Department of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, United States; Herbert Irving Comprehensive Cancer Center, Columbia University College of Physicians and Surgeons, United States; New York Presbyterian Hospital, United States
| | - William M Burke
- Department of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, United States
| | - Yongmei Huang
- Department of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, United States
| | - Alfred I Neugut
- Department of Medicine, Columbia University College of Physicians and Surgeons, United States; Department of Epidemiology, Mailman School of Public Health, Columbia University, United States; Herbert Irving Comprehensive Cancer Center, Columbia University College of Physicians and Surgeons, United States; New York Presbyterian Hospital, United States
| | - Cande V Ananth
- Department of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, United States; Department of Epidemiology, Mailman School of Public Health, Columbia University, United States
| | - Dawn L Hershman
- Department of Medicine, Columbia University College of Physicians and Surgeons, United States; Department of Epidemiology, Mailman School of Public Health, Columbia University, United States; Herbert Irving Comprehensive Cancer Center, Columbia University College of Physicians and Surgeons, United States; New York Presbyterian Hospital, United States
| | - Jason D Wright
- Department of Obstetrics and Gynecology, Columbia University College of Physicians and Surgeons, United States; Herbert Irving Comprehensive Cancer Center, Columbia University College of Physicians and Surgeons, United States; New York Presbyterian Hospital, United States.
| |
Collapse
|
49
|
Qiao G, Li L, Cheng W, Zhang Z, Ge J, Wang C. Conditional probability of survival in patients with biliary atresia after Kasai portoenterostomy: a Chinese population-based study. J Pediatr Surg 2015; 50:1310-5. [PMID: 25917622 DOI: 10.1016/j.jpedsurg.2015.03.062] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2014] [Revised: 03/17/2015] [Accepted: 03/29/2015] [Indexed: 01/23/2023]
Abstract
Survival estimates are commonly reported for the outcomes of patients. Conditional probability, which offers more relevant information regarding the prognosis for patients once they have survived for some time, are lacking for patients with biliary atresia. The aim of this study is to calculate the conditional probability of survival in patients with biliary atresia after Kasai portoenterostomy. Clinical data from 244 consecutive patients who underwent Kasai portoenterostomy were reviewed and the actuarial survival estimated. Conditional survival probabilities and 95% CIs were calculated. Of the 244 patients, the overall median NLS was 41.2 months (95% CI:30.8-51.6 months), and the 1-year, 3-year, and 5-year NLS rates were 85.4%, 61.1%, and 43.3%, respectively. The probabilities of surviving at the time point of 5 years given survival to 1, 2, 3, and 4 years were 50%, 56%, 73%, and 93%, respectively. For conditional survival for 1 additional year, patients with age >90 days and cholangitis had significantly predictive values(both P<0.05). Cox proportional hazards model showed that age > 90 days(HR: 2.519, P=0.001), and postoperative cholangitis(HR:2.568, P<0.001) were associated with an adverse NLS in the multivariable adjusted analysis. our findings showed that conditional survival of patients with BA is not linear over time after Kasai operation. Information derived from conditional survival can be used to better manage patients with BA, including the potential subsequent treatment decisions, the chance of listing for transplantation, or even the end-of-life planning.
Collapse
Affiliation(s)
- Guoliang Qiao
- Graduate School of Peking Union Medical College, Beijing, People's Republic of China; Department of Pediatric Surgery, Capital Institute of Pediatrics, Beijing, People's Republic of China
| | - Long Li
- Graduate School of Peking Union Medical College, Beijing, People's Republic of China; Department of Pediatric Surgery, Capital Institute of Pediatrics, Beijing, People's Republic of China.
| | - Wei Cheng
- Department of Surgery, United Family Hospital, Beijing, People's Republic of China; Department of Paediatrics and Department of Surgery, Faculty of Medicine, Nursing and Health Sciences, Monash University, Australia
| | - Zhen Zhang
- Department of Pediatric Surgery, Capital Institute of Pediatrics, Beijing, People's Republic of China
| | - Juntao Ge
- Department of Pediatric Surgery, Capital Institute of Pediatrics, Beijing, People's Republic of China
| | - Chen Wang
- Department of Pediatric Surgery, Capital Institute of Pediatrics, Beijing, People's Republic of China
| |
Collapse
|
50
|
Prognostic factors for conditional survival in patients with muscle-invasive urothelial carcinoma of the bladder treated with radical cystectomy. Sci Rep 2015. [PMID: 26212449 PMCID: PMC4515743 DOI: 10.1038/srep12171] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Because only a few studies have evaluated conditional survival (CS) in bladder cancer patients, we examined conditional overall survival (OS) and cancer-specific survival (CSS) in these patients after radical cystectomy (RC), and determined which prognostic variables affect CS over time. We reviewed 487 patients treated with RC and pelvic lymph node dissection at our institution between 1991 and 2012. Cox regression models were used to identify the significant prognostic factors for CS depending on clinicopathological characteristics. As survival time increased after RC, conditional OS and CSS rates increased when compared with baseline survival probability. CS more significantly improved in the patients with unfavorable pathologic characteristics. While many variables were associated with survival at baseline, only age was found to be a significant prognostic factor for 5-year conditional OS in all given survivorships. In conclusion, conditional OS and CSS probabilities significantly improved over time, with greater improvements in the cases with unfavorable pathologic features. Moreover, age remained the key prognostic factor for conditional OS estimates from baseline to 5 years after surgery. Our results provide practical survival information to guide adjustments in our current follow-up strategy for bladder cancer patients after RC.
Collapse
|