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Wang J, Botvinov J, Bhatt AJ, Beyer K, Kreis ME, Adam M, Alseidi A, Margonis GA. Somatic Mutations in Surgically Treated Colorectal Liver Metastases: An Overview. Cells 2024; 13:679. [PMID: 38667294 PMCID: PMC11049420 DOI: 10.3390/cells13080679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 03/31/2024] [Accepted: 04/08/2024] [Indexed: 04/28/2024] Open
Abstract
Colorectal cancer is the second most common cause of cancer death in the United States, and up to half of patients develop colorectal liver metastases (CRLMs). Notably, somatic genetic mutations, such as mutations in RAS, BRAF, mismatch repair (MMR) genes, TP53, and SMAD4, have been shown to play a prognostic role in patients with CRLM. This review summarizes and appraises the current literature regarding the most relevant somatic mutations in surgically treated CRLM by not only reviewing representative studies, but also providing recommendations for areas of future research. In addition, advancements in genetic testing and an increasing emphasis on precision medicine have led to a more nuanced understanding of these mutations; thus, more granular data for each mutation are reviewed when available. Importantly, such knowledge can pave the way for precision medicine with the ultimate goal of improving patient outcomes.
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Affiliation(s)
- Jane Wang
- Department of Surgery, University of California San Francisco, San Francisco, CA 94143, USA; (M.A.); (A.A.)
| | - Julia Botvinov
- Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA;
| | - Aarshvi Jahnvi Bhatt
- University of Toledo College of Medicine and Life Sciences, Toledo, OH 43614, USA;
| | - Katharina Beyer
- Department of General and Visceral Surgery, Charité Campus Benjamin Franklin, 12203 Berlin, Germany; (K.B.); (M.E.K.)
| | - Martin E. Kreis
- Department of General and Visceral Surgery, Charité Campus Benjamin Franklin, 12203 Berlin, Germany; (K.B.); (M.E.K.)
| | - Mohamed Adam
- Department of Surgery, University of California San Francisco, San Francisco, CA 94143, USA; (M.A.); (A.A.)
| | - Adnan Alseidi
- Department of Surgery, University of California San Francisco, San Francisco, CA 94143, USA; (M.A.); (A.A.)
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Brandão GR, Trindade BO, Flores LHF, Motter SB, Alves CB, Remonti TAP, Lucchese AM, Junior ADP, Kalil AN. Does RAS Status Increase the Prevalence of Positive Resection Margin in Colorectal Liver Metastasis? A Systematic Review and Meta-Analysis. Am Surg 2023; 89:5638-5647. [PMID: 36896840 DOI: 10.1177/00031348231156763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
BACKGROUND Colorectal liver metastasis has a high incidence, and RAS oncogene mutation status carries significant prognostic information. We aimed to assess whether RAS-mutated patients present more or less frequently with positive margins in their hepatic metastasectomy. METHODS We performed a systematic review and meta-analysis of studies from PubMed, Embase, and Lilacs databases. We analyzed liver metastatic colorectal cancer studies, which included information on RAS status and had surgical margin analysis of the liver metastasis. Odds ratios were computed using a random-effect model due to anticipated heterogeneity. We further performed a subanalysis limited to studies that included only patients with KRAS instead of all-RAS mutations. RESULTS From the 2,705 studies screened, 19 articles were included in the meta-analysis. There were 7,391 patients. The prevalence of positive resection margin was not significantly different between patients carrier vs non-carrier for the all-RAS mutations (OR .99; 95% CI 0.83-1.18; P = .87), and for only KRAS mutation (OR .93; 95% CI 0.73-1.19; P = .57). CONCLUSIONS Despite the strong correlation between colorectal liver metastasis prognosis and RAS mutation status, our meta-analysis's results suggest no correlation between the RAS status and the prevalence of positive resection margins. The findings contribute to a better understanding of the RAS mutation's role in the surgical resections of colorectal liver metastasis.
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Affiliation(s)
| | | | | | | | - Cassio Bona Alves
- Surgical Oncology, Santa Casa de Misericordia de Porto Alegre, Porto Alegre, Brazil
| | | | | | | | - Antonio Nocchi Kalil
- Surgical Oncology, Santa Casa de Misericordia de Porto Alegre, Porto Alegre, Brazil
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Li S, Yuan L, Yue M, Xu Y, Liu S, Wang F, Liu X, Wang F, Deng J, Sun Q, Liu X, Xue C, Lu T, Zhang W, Zhou J. Early evaluation of liver metastasis using spectral CT to predict outcome in patients with colorectal cancer treated with FOLFOXIRI and bevacizumab. Cancer Imaging 2023; 23:30. [PMID: 36964617 PMCID: PMC10039512 DOI: 10.1186/s40644-023-00547-w] [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: 11/04/2022] [Accepted: 03/15/2023] [Indexed: 03/26/2023] Open
Abstract
PURPOSE Early evaluation of the efficacy of first-line chemotherapy combined with bevacizumab in patients with colorectal cancer liver metastasis (CRLM) remains challenging. This study used 2-month post-chemotherapy spectral computed tomography (CT) to predict the overall survival (OS) and response of CRLM patients with bevacizumab-containing therapy. METHOD This retrospective analysis was performed in 104 patients with pathologically confirmed CRLM between April 2017 and October 2021. Patients were treated with 5-fluorouracil, leucovorin, oxaliplatin or irinotecan with bevacizumab. Portal venous phase spectral CT was performed on the target liver lesion within 2 months of commencing chemotherapy to demonstrate the iodine concentration (IoD) of the target liver lesion. The patients were classified as responders (R +) or non-responders (R -) according to the Response Evaluation Criteria in Solid Tumors (RECIST) v1.1 at 6 months. Multivariate analysis was performed to determine the relationships of the spectral CT parameters, tumor markers, morphology of target lesions with OS and response. The differences in portal venous phase spectral CT parameters between the R + and R - groups were analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the predictive power of spectral CT parameters. RESULTS Of the 104 patients (mean age ± standard deviation: 57.73 years ± 12.56; 60 men) evaluated, 28 (26.9%) were classified as R + . Cox multivariate analysis identified the iodine concentration (hazard ratio [HR]: 1.238; 95% confidence interval [95% CI]: 1.089-1.408; P < 0.001), baseline tumor longest diameter (BLD) (HR: 1.022; 95% CI: 1.005-1.038, P = 0.010), higher baseline CEA (HR: 1.670; 95% CI: 1.016-2.745, P = 0.043), K-RAS mutation (HR: 2.027; 95% CI: 1.192-3.449; P = 0.009), and metachronous liver metastasis (HR: 1.877; 95% CI: 1.179-2.988; P = 0.008) as independent risk factors for patient OS. Logistic multivariate analysis identified the IoD (Odds Ratio [OR]: 2.243; 95% CI: 1.405-4.098; P = 0.002) and clinical N stage of the primary tumor (OR: 4.998; 95% CI: 1.210-25.345; P = 0.035) as independent predictor of R + . Using IoD cutoff values of 4.75 (100ug/cm3) the area under the ROC curve was 0.916, sensitivity and specificity were 80.3% and 96.4%, respectively. CONCLUSIONS Spectral CT IoD can predict the OS and response of patients with CRLM after 2 months of treatment with bevacizumab-containing therapy.
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Affiliation(s)
- Shenglin Li
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Long Yuan
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Mengying Yue
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China
| | - Yuan Xu
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Suwei Liu
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Feng Wang
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China
| | - Xiaoqin Liu
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China
| | - Fengyan Wang
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China
| | - Juan Deng
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Qiu Sun
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Xianwang Liu
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Caiqiang Xue
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Ting Lu
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Wenjuan Zhang
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Junlin Zhou
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Cuiyingmen No.82, Lanzhou, 730030, China.
- Second Clinical School, Lanzhou University, Lanzhou, China.
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China.
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China.
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Rhaiem R, Rached L, Tashkandi A, Bouché O, Kianmanesh R. Implications of RAS Mutations on Oncological Outcomes of Surgical Resection and Thermal Ablation Techniques in the Treatment of Colorectal Liver Metastases. Cancers (Basel) 2022; 14:816. [PMID: 35159083 PMCID: PMC8834154 DOI: 10.3390/cancers14030816] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 01/31/2022] [Accepted: 02/03/2022] [Indexed: 02/07/2023] Open
Abstract
Colorectal cancer (CRC) is the third most common cancer worldwide and the second leading cause of cancer-related death. More than 50% of patients with CRC will develop liver metastases (CRLM) during their disease. In the era of precision surgery for CRLM, several advances have been made in the multimodal management of this disease. Surgical treatment, combined with a modern chemotherapy regimen and targeted therapies, is the only potential curative treatment. Unfortunately, 70% of patients treated for CRLM experience recurrence. RAS mutations are associated with worse overall and recurrence-free survival. Other mutations such as BRAF, associated RAS /TP53 and APC/PIK3CA mutations are important genetic markers to evaluate tumor biology. Somatic mutations are of paramount interest for tailoring preoperative treatment, defining a surgical resection strategy and the indication for ablation techniques. Herein, the most relevant studies dealing with RAS mutations and the management of CRLM were reviewed. Controversies about the implication of this mutation in surgical and ablative treatments were also discussed.
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Affiliation(s)
- Rami Rhaiem
- Faculty of Medecine, University Reims Champagne-Ardenne, 51100 Reims, France; (O.B.); (R.K.)
- Hepatobiliary, Pancreas, Endocrine and Digestive Surgical Oncology Department, Robert Debré Hospital, CHU de Reims, 51100 Reims, France; (L.R.); (A.T.)
| | - Linda Rached
- Hepatobiliary, Pancreas, Endocrine and Digestive Surgical Oncology Department, Robert Debré Hospital, CHU de Reims, 51100 Reims, France; (L.R.); (A.T.)
| | - Ahmad Tashkandi
- Hepatobiliary, Pancreas, Endocrine and Digestive Surgical Oncology Department, Robert Debré Hospital, CHU de Reims, 51100 Reims, France; (L.R.); (A.T.)
| | - Olivier Bouché
- Faculty of Medecine, University Reims Champagne-Ardenne, 51100 Reims, France; (O.B.); (R.K.)
- Digestive Oncology and Hepatogastroenterology Department, Robert Debré Hospital, CHU de Reims, 51100 Reims, France
| | - Reza Kianmanesh
- Faculty of Medecine, University Reims Champagne-Ardenne, 51100 Reims, France; (O.B.); (R.K.)
- Hepatobiliary, Pancreas, Endocrine and Digestive Surgical Oncology Department, Robert Debré Hospital, CHU de Reims, 51100 Reims, France; (L.R.); (A.T.)
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Koulouris A, Tsagkaris C, Messaritakis I, Gouvas N, Sfakianaki M, Trypaki M, Spyrou V, Christodoulakis M, Athanasakis E, Xynos E, Tzardi M, Mavroudis D, Souglakos J. Resectable Colorectal Cancer: Current Perceptions on the Correlation of Recurrence Risk, Microbiota and Detection of Genetic Mutations in Liquid Biopsies. Cancers (Basel) 2021; 13:3522. [PMID: 34298740 PMCID: PMC8304269 DOI: 10.3390/cancers13143522] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 07/09/2021] [Accepted: 07/12/2021] [Indexed: 12/12/2022] Open
Abstract
Metastatic colorectal cancer (mCRC) remains a highly lethal malignancy, although considerable progress has resulted from molecular alterations in guiding optimal use of available treatments. CRC recurrence remains a great barrier in the disease management. Hence, the spotlight turns to newly mapped fields concerning recurrence risk factors in patients with resectable CRC with a focus on genetic mutations, microbiota remodeling and liquid biopsies. There is an urgent need for novel biomarkers to address disease recurrence since specific genetic signatures can identify a higher or lower recurrence risk (RR) and, thus, be used both as biomarkers and treatment targets. To a large extent, CRC is mediated by the immune and inflammatory interplay of microbiota, through intestinal dysbiosis. Clarification of these mechanisms will yield new opportunities, leading not only to the appropriate stratification policies, but also to more precise, personalized monitoring and treatment navigation. Under this perspective, early detection of post-operative CRC recurrence is of utmost importance. Ongoing trials, focusing on circulating tumor cells (CTCs) and, even more, circulating tumor DNA (ctDNA), seem to pave the way to a promising, minimally invasive but accurate and life-saving monitoring, not only supporting personalized treatment but favoring patients' quality of life, as well.
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Affiliation(s)
- Andreas Koulouris
- Laboratory of Translational Oncology, Medical School, University of Crete, 70013 Heraklion, Greece; (A.K.); (M.S.); (M.T.); (D.M.); (J.S.)
- Department of Medical Oncology, University Hospital of Heraklion, 71110 Heraklion, Greece
| | | | - Ippokratis Messaritakis
- Laboratory of Translational Oncology, Medical School, University of Crete, 70013 Heraklion, Greece; (A.K.); (M.S.); (M.T.); (D.M.); (J.S.)
| | - Nikolaos Gouvas
- Medical School, University of Cyprus, Nicosia 20537, Cyprus;
| | - Maria Sfakianaki
- Laboratory of Translational Oncology, Medical School, University of Crete, 70013 Heraklion, Greece; (A.K.); (M.S.); (M.T.); (D.M.); (J.S.)
| | - Maria Trypaki
- Laboratory of Translational Oncology, Medical School, University of Crete, 70013 Heraklion, Greece; (A.K.); (M.S.); (M.T.); (D.M.); (J.S.)
| | - Vasiliki Spyrou
- Department of Radiation Oncology, Hygeia Hospital, 15123 Athens, Greece;
| | - Manousos Christodoulakis
- Department of General Surgery, Venizeleio General Hospital, Leoforos Knossou 44, 71409 Heraklion, Greece;
| | - Elias Athanasakis
- Department of Surgery, University General Hospital of Heraklion, 71110 Heraklion, Greece;
| | - Evangelos Xynos
- Department of Surgery, Creta Interclinic Hospital of Heraklion, 71305 Heraklion, Greece;
| | - Maria Tzardi
- Laboratory of Pathology, University General Hospital of Heraklion, 70013 Heraklion, Greece;
| | - Dimitrios Mavroudis
- Laboratory of Translational Oncology, Medical School, University of Crete, 70013 Heraklion, Greece; (A.K.); (M.S.); (M.T.); (D.M.); (J.S.)
- Department of Medical Oncology, University Hospital of Heraklion, 71110 Heraklion, Greece
| | - John Souglakos
- Laboratory of Translational Oncology, Medical School, University of Crete, 70013 Heraklion, Greece; (A.K.); (M.S.); (M.T.); (D.M.); (J.S.)
- Department of Medical Oncology, University Hospital of Heraklion, 71110 Heraklion, Greece
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