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Sahin TK, Rizzo A, Aksoy S, Guven DC. Prognostic Significance of the Royal Marsden Hospital (RMH) Score in Patients with Cancer: A Systematic Review and Meta-Analysis. Cancers (Basel) 2024; 16:1835. [PMID: 38791914 PMCID: PMC11120545 DOI: 10.3390/cancers16101835] [Citation(s) in RCA: 117] [Impact Index Per Article: 117.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 04/29/2024] [Accepted: 05/09/2024] [Indexed: 05/26/2024] Open
Abstract
BACKGROUND Cancer remains a leading cause of death globally, necessitating the identification of prognostic biomarkers to guide treatment decisions. The Royal Marsden Hospital (RMH) score, based on readily available blood tests and clinical features, has emerged as a prognostic tool, although its performance across variable clinical scenarios is not thoroughly delineated. Therefore, we aimed to systematically assess the association between RMH score and survival in cancer patients. METHODS We conducted a systematic literature search across Pubmed, Scopus, and Web of Science databases for studies published up to 15 February 2024. We performed a meta-analysis with the generic inverse variance method with a random-effects model and reported hazard ratios (HR) with 95% confidence intervals (CI). RESULTS Nineteen studies encompassing 127,230 patients were included. A higher RMH score was significantly associated with worse overall survival (OS) (HR: 2.09, 95% CI: 1.87-2.33, p < 0.001) and progression-free survival (PFS) (HR: 1.80, 95% CI: 1.48-2.18, p < 0.001). This association was consistent across various subgroups, including study population (clinical trial vs. real-world cohort), geographic region, and tumor type. CONCLUSION This meta-analysis, including over a hundred thousand patients, demonstrates a negative association between a higher RMH score and survival in cancer patients. The RMH score holds promise as a readily available prognostic tool across diverse cancer types and clinical settings. Future research should focus on validating and refining this score to aid clinical decision-making.
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Affiliation(s)
- Taha Koray Sahin
- Department of Medical Oncology, Hacettepe University, Ankara 06100, Turkey; (T.K.S.); (S.A.)
| | | | - Sercan Aksoy
- Department of Medical Oncology, Hacettepe University, Ankara 06100, Turkey; (T.K.S.); (S.A.)
| | - Deniz Can Guven
- Medical Oncology Clinic, Health Sciences University, Elazig City Hospital, Elazig 23280, Turkey
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Ma LX, Espin-Garcia O, Bach Y, Aoyama H, Allen MJ, Wang X, Darling GE, Yeung J, Swallow CJ, Brar S, Veit-Haibach P, Kalimuthu S, Wong R, Chen EX, O’Kane GM, Jang RW, Elimova E. Comparison of Four Clinical Prognostic Scores in Patients with Advanced Gastric and Esophageal Cancer. Oncologist 2023; 28:214-219. [PMID: 36378560 PMCID: PMC10020804 DOI: 10.1093/oncolo/oyac235] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 07/19/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Prognostic scores that can identify patients at risk for early death are needed to aid treatment decision-making and patient selection for clinical trials. We compared the accuracy of four scores to predict early death (within 90 days) and overall survival (OS) in patients with metastatic gastric and esophageal (GE) cancer. METHODS Advanced GE cancer patients receiving first-line systemic therapy were included. Prognostic risks were calculated using: Royal Marsden Hospital (RMH), MD Anderson Cancer Centre (MDACC), Gustave Roussy Immune (GRIm-Score), and MD Anderson Immune Checkpoint Inhibitor (MDA-ICI) scores. Overall survival (OS) was estimated using the Kaplan-Meier method. Cox proportional hazards models were used to analyze associations between prognostic scores and OS. The predictive discrimination was estimated using Harrell's c-index. Predictive ability for early death was measured using time-dependent AUCs. RESULTS In total, 451 patients with metastatic GE cancer were included. High risk patients had shorter OS for all scores (RMH high- vs. low-risk median OS 7.9 vs. 12.2 months, P < .001; MDACC 6.8 vs. 11.9 months P < .001; GRIm-Score 5.3 vs. 13 months, P < .001; MDA-ICI 8.2 vs. 12.2 months, P < .001). On multivariable analysis, each prognostic score was significantly associated with OS. The GRIm-Score had the highest predictive discrimination and predictive ability for early death. CONCLUSIONS The GRIm-Score had the highest accuracy in predicting early death and OS. Clinicians may use this score to identify patients at higher risk of early death to guide treatment decisions including clinical trial enrolment. This score could also be used as a stratification factor in future clinical trial designs.
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Affiliation(s)
- Lucy X Ma
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Osvaldo Espin-Garcia
- Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Yvonne Bach
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Hiroko Aoyama
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Michael J Allen
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Xin Wang
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Gail E Darling
- Division of Thoracic Surgery, Department of Surgery, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada
| | - Jonathan Yeung
- Division of Thoracic Surgery, Department of Surgery, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada
| | - Carol J Swallow
- Department of Surgical Oncology, Princess Margaret Cancer Centre, University Health Network and Sinai Health System, University of Toronto, Canada
| | - Savtaj Brar
- Department of Surgical Oncology, Princess Margaret Cancer Centre, University Health Network and Sinai Health System, University of Toronto, Canada
| | - Patrick Veit-Haibach
- Joint Department of Medical Imaging, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada
| | - Sangeetha Kalimuthu
- Department of Pathology, Laboratory Medicine Program, University Health Network, University of Toronto, Toronto, Canada
| | - Rebecca Wong
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Eric X Chen
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Grainne M O’Kane
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Raymond W Jang
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Canada
| | - Elena Elimova
- Corresponding author: Elena Elimova, 700 University Ave, Toronto, ON M5G 1Z5, Canada. Tel: 416 946-2520; Fax: 416 946 6546; Email
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Loh J, Wu J, Chieng J, Chan A, Yong WP, Sundar R, Lee SC, Wong A, Lim JSJ, Tan DSP, Soo R, Goh BC, Tai BC, Chee CE. Clinical outcome and prognostic factors for Asian patients in Phase I clinical trials. Br J Cancer 2023; 128:1514-1520. [PMID: 36797357 PMCID: PMC10070409 DOI: 10.1038/s41416-023-02193-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 01/15/2023] [Accepted: 01/27/2023] [Indexed: 02/18/2023] Open
Abstract
BACKGROUND Patient selection is key in Phase I studies, and prognosis can be difficult to estimate in heavily pre-treated patients. Previous prognostic models like the Royal Marsden Hospital (RMH) score or using the neutrophil-lymphocyte ratio (NLR) have not been validated in current novel therapies nor in the Asian Phase I population. METHODS We conducted a retrospective review of 414 patients with solid tumours participating in Phase I studies at our centre between October 2013 and December 2020. RESULTS The RMH model showed poorer prognosis with increasing scores [RMH score 1, HR 1.28 (95% CI: 0.96-1.70); RMH score 2, HR 2.27 (95% CI: 1.62-3.17); RMH score 3, HR 4.14 (95% CI: 2.62-6.53)]. NLR did not improve the AUC of the model. Poorer ECOG status (ECOG 1 vs. 0: HR = 1.59 (95% CI = 1.24-2.04), P < 0.001) and primary tumour site (GI vs. breast cancer: HR = 3.06, 95% CI = 2.16-4.35, P < 0.001) were prognostic. CONCLUSIONS We developed a NCIS prognostic score with excellent prognostic ability for both short-term and longer-term survival (iAUC: 0.71 [95% CI 0.65-0.76]), and validated the RMH model in the largest Asian study to date.
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Affiliation(s)
- Jerold Loh
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore
| | - Jiaxuan Wu
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jenny Chieng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Aurora Chan
- NUS Saw Swee Hock School of Public Health, Singapore, Singapore
| | - Wei-Peng Yong
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore
| | - Raghav Sundar
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Soo-Chin Lee
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Andrea Wong
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore
| | - Joline S J Lim
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - David S P Tan
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ross Soo
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore
| | - Boon-Cher Goh
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore
| | - Bee-Choo Tai
- NUS Saw Swee Hock School of Public Health, Singapore, Singapore
| | - Cheng E Chee
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore. .,Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
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Liu CT, Hong CQ, Huang XC, Li EM, Xu YW, Peng YH. Blood-based Markers in the Prognostic Prediction of Esophagogastric Junction Cancer. J Cancer 2020; 11:4332-4342. [PMID: 32489452 PMCID: PMC7255356 DOI: 10.7150/jca.44545] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 04/13/2020] [Indexed: 02/05/2023] Open
Abstract
Esophagogastric junction cancer poses a great threat to human beings both in western countries and East Asia, especially in China and Japan, and its incidence has increased during recent decades. The 5-year survival rate of esophagogastric junction cancer is quite poor compared with that of other gastric cancer sites. Until now, the traditional TNM staging system has been widely used in clinical practice for prognosis. However, the TNM system is based on pathology after surgical resection or radiology using CT and MRI, not on blood markers. Evidently, some research has been reported concentrated on the prognostic value of blood-based markers with the character of non-invasive and non-radioactive in EJA. Hematologic, biochemical and coagulation parameters could be obtained from clinical data and utilized to analyze their prognostic values. Tumor-associated antigens, microRNAs and circulating tumor cells have also been reported in EJC prognosis. In this article, we review research focused on blood-based markers to evaluate their prognostic value in esophagogastric junction cancer, especially its main subtype adenocarcinoma.
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Affiliation(s)
- Can-Tong Liu
- Department of Clinical Laboratory Medicine, the Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Precision Medicine Research Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Chao-Qun Hong
- Department of Oncological Laboratory Research, the Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Xu-Chun Huang
- Department of Clinical Laboratory Medicine, the Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Precision Medicine Research Center, Shantou University Medical College, Shantou, Guangdong, China
| | - En-Min Li
- Department of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou, Guangdong, China
| | - Yi-Wei Xu
- Department of Clinical Laboratory Medicine, the Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Precision Medicine Research Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Yu-Hui Peng
- Department of Clinical Laboratory Medicine, the Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Precision Medicine Research Center, Shantou University Medical College, Shantou, Guangdong, China
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