Abstract
Over the past two decades of successive clinical trials in metastatic colorectal cancer (CRC), the median overall survival of both control and experimental arms has steadily improved. However, the incremental change in survival for metastatic CRC patients not treated on trial has not yet been quantified. We performed a retrospective review of 1420 patients with de novo metastatic CRC who received their primary treatment at the University of Texas M.D. Anderson Cancer Center (UTMDACC) from 2004 through 2019. Median OS was roughly stable for patients diagnosed between 2004 and 2012 (22.6 months) but since has steadily improved for those diagnosed in 2013 to 2015 (28.8 months), and 2016 to 2019 (32.4 months). Likewise, 5-year survival rate has increased from 15.7% for patients diagnosed from 2004 to 2006 to 26% for those diagnosed from 2013 to 2015. Notably, survival improved for patients with BRAFV600E mutant as well as microsatellite unstable (MSI-H) tumors. Multivariate regression analysis identified surgical resection of liver metastasis (HR = 0.26, 95% CI, 0.19–0.37), use of immunotherapy (HR = 0.44, 95% CI, 0.29–0.67) and use of third line chemotherapy (regorafenib or trifluridine/tipiracil, HR = 0.74, 95% CI, 0.58–0.95), but not year of diagnosis (HR = 0.99, 95% CI, 0.98–1), as associated with better survival, suggesting that increased use of these therapies are the drivers of the observed improvement in survival.
Introduction
In the past two decades remarkable progress has been made regarding the understanding of colorectal cancer (CRC) pathogenesis at a molecular level1,2. This molecular understanding has been translated into the first few molecularly targeted chemotherapeutic agents approved by the US Food and Drug Administration (FDA) for use in CRC, first the monoclonal antibodies cetuximab (anti-EGFR) and bevacizumab (anti-VEGF) in 2004 followed by panitumumab (anti-EGFR) in 20063. This time period also saw the introduction of novel oral agents regorafenib (pan-kinase inhibitor) in 2013 and trifluridine/tipiracil (combination of cytotoxin and thymidine phosphorylase inhibitor) in 2020 for third line or greater therapy4,5. Oncogenic mutations in BRAF, a potent modulator of the MAPK pathway present in approximately 10% of CRC patients6,7, can now be successfully targeted with the combination of encorafenib (BRAF inhibitor) and cetuximab, which are now standard-of-care after the positive BEACON trial in 2019, and/or dabrafenib (BRAF inhibitor) and trametinib (MEK inhibitor) which were both introduced in 20148,9,10,11. Microsatellite instability has also been discovered as a key biomarker predicting response to immunotherapy12,13,14, leading to the approval in 2017 of anti-PD-1 antibodies pembrolizumab and nivolumab and in 2018 combination with CTLA-4 antibody ipilimumab for treatment of MSI-H tumors15,16,17,18,19,20.
In addition to novel systemic therapy options, resection of liver metastases has been shown to improve long term outcomes in selected metastatic CRC populations4,21,22,23. Approximately 50% of CRC patients eventually develop liver metastases and this is often what makes CRC lethal24,25. Unlike many other solid tumors, resection of isolated liver metastasis can be potentially curative in CRC with 5- and 10-year survival rates of approximately 40% and 25% respectively26,27,28. For patients with favorable tumor biology (e.g., wild-types of RAS, TP53, and SMAD4), our group recently showed that the 5-year overall survival was approximately 70% in patients undergoing Colorectal Liver Metastases (CLM) resection29,30 and approximately 50% in patients undergoing simultaneous resection of CLM and extrahepatic disease31. However, it is estimated that only 10% to 30% of patients have limited disease that can be surgically resected with curative intent32,33,34,35,36.
In the past decade, the reported median overall survival in phase III trials in metastatic colorectal cancer has increased from approximately 16 to a 27.4 to 30 months37,38. This reflects an increase relative to similar trials in previously untreated metastatic CRC published from 1995 to 2008 which showed a median overall survival of 18 to 24 months4. Analyzing data from the Surveillance, Epidemiology, and End Results (SEER) database shows that the overall mortality rate from all stages of CRC has continually declined over the past 40 years (Supplementary Fig. 1)39. However, annotation from these national databases is limited and prevents more detailed analysis to identify the underlying causes of this improvement. The purpose of this study is to evaluate changes in overall survival from a large single institutional cohort and evaluate the specific clinical and/or molecular factors associated with improvement in survival.
Results
Patient cohort
A total of 1420 patients with de novo metastatic CRC treated during the 16-year period from 2004 through 2019 were identified for inclusion in the study (Table 1, Supplementary Fig. 2). There was a high degree of concordance between the institutional tumor registry database and clinical records in terms of patient demographics, date of diagnosis, history of liver resection, and vital status. The median age, location of the primary tumor, gender distribution, comorbidities and race of the population did not change significantly over the time period evaluated (Supplementary Fig. 3).
Overall survival as a function of time
Median overall survival remained relatively constant from 2004 through 2012 (22.6 months, 95% CI, 20.0 to 24.9 months, Fig. 1a). Following 2012, gradual improvement was observed with median overall survival of 28.8 months (95% CI, 24.5 to 33.2 months) and 32.4 months (95% CI, 27.8 to 37.0 months) for 2013 to 2015 and 2016 to 2019, respectively. Likewise, the 5-year overall survival was 19.1% for 2004 through 2012 and increased to 25.9% for 2013 to 2015 (Fig. 1b); for those diagnosed from 2016 through 2019, 5-year overall survival is not yet available.
In a univariate Cox regression analysis, year of diagnosis was associated with better overall survival with a protective effect seen for each year after 2004 (HR = 0.96, 95% CI, 0.95–0.98, 3.5 × 10-6, Table 2). Other factors associated with better survival included Asian race, performance of colorectal liver metastasis (CLM) resection, use of immunotherapy, and use of third line chemotherapy (regorafenib or trifluridine/tipiracil). Factors significantly associated with worse survival included chronic kidney disease (CKD), African American race, and right-sided primary tumor. Factors tested in univariate analysis but were not significantly associated with overall survival, can be seen in (Supplementary Table 1). In a multivariate analysis, CLM resection (HR = 0.26, 95% CI 0.19–0.37, P < 0.0001), use of immunotherapy (HR = 0.44, 95% CI 0.29–0.67, P = 0.0001), and use of third line chemotherapy (HR = 0.74, 95% CI, 0.58–0.95, P = 0.018) were associated with a better overall survival. Factors associated with worse survival in multivariate analysis included age at diagnosis (HR = 1.007, 95% CI, 1.001–1.01, P = 0.021), CKD (HR = 1.3, 95% CI 1.03–1.68, P = 0.025), African American race (HR = 1.3, 95% CI 1.04–1.54, P = 0.015) and right sided tumors (HR = 1.7, 95% CI 1.5–2, P = 4.50E–12).
Hepatic colorectal liver metastases resection
One hundred fifty-three patients (10.8%) in the cohort underwent hepatic Colorectal Liver Metastases (CLM) resection; the fraction of patients undergoing CLM resection increased from 2004 to 2019 (Fig. 2a). Before 2014, only 5% of patients had CLM resection, however after that the frequency increased sharply in 2015, peaking at 19.4% in 2017. To account for immortal time bias, landmark analysis was used to evaluate the impact of hepatic resection on survival40. Using a 12-month landmark, the 5-year survival rate for patients who had undergone hepatic metastasis resection was 58.3%, compared with 27.0% for patients without resection; median overall survival for these two groups was 74.3 months (95% CI, 58.5 to 90.0 months) and 32.6 months (95% CI, 30.1 to 35.2 months), respectively with HR of 0.33 (95% CI, 0.22 to 0.41, P < 0.0001, Fig. 2b). Since a landmark time was not pre-specified, landmark analysis was also performed with intervals of 6, 18, and 24 months all of which showed that patients who underwent CLM resection had superior overall survival (Supplementary Fig. 4).
Chemotherapy utilization
To estimate the impact of changes in chemotherapy and to exclude the effects of hepatic CLM resection, overall survival analyses were repeated after removing patients who underwent hepatic resection. Median overall survival remained relatively constant from 2004 through 2012 (22 months, 95% CI, 19.8 to 24.175 months, Supplementary Fig. 5). Following 2012, gradual improvement was observed with median overall survival of 28 months (95% CI, 23.8 to 32 months) and 28.3 months (95% CI, 24.1 to 32.3 months) for 2013 to 2015 and 2016 to 2019 respectively (Supplementary Fig. 5). Review of institutional pharmacy records shows a temporal association of these improvements with the adoption of additional medical treatment options beyond fluorouracil, irinotecan, oxaliplatin, bevacizumab, and cetuximab (Fig. 3a). Prior to 2012, therapies such as regorafenib, immunotherapy (IO), trifluridine/tipiracil (Tri/Ti), and BRAF inhibitors were not available. However, after 2012, the percentage of patients receiving these therapies started to increase with use of regorafenib, immune therapy, Tri/Ti, and BRAF inhibitors reaching to 15%, 10.9%, 9.5%, and 5.1% of patients, respectively (Fig. 3b).
Molecular biomarkers
The utilization of biomarker testing changed over time. To overcome this limitation, survival analysis in molecularly defined subgroups was limited to time periods where majority of patients were tested. Additionally, 3-year overall survival was taken for comparison instead of 5-year due to limited 5-year follow-up for these patients. Concerning patients with BRAF mutation, there was significant improvement in median overall survival when comparing 2010 through 2015 (13.9 months, 95% CI, 9.5 to 18.2 months) to 2016 to 2019 (35.2 months, 95% CI, 14.4 to 56.1 months) (HR = 0.54, 95% CI 0.3 to 1, P = 0.04, Fig. 4a, b). Likewise, the 3-year overall survival rate was 19.6% for 2010 through 2015 and increased to 37.6% for 2016 through 2019 (Fig. 4c). As for MSI-H, the difference in median overall survival time was also significant (HR = 0.14, 95% CI 0.04 to 0.42, P = 0.003, Fig. 4d). For patients diagnosed from 2004 through 2015, median overall survival time was 17.4 months (95% CI, 6.3 to 28.6 months) vs. not-yet-reached for those diagnosed from 2016 through 2019 (Fig. 4e). 3-year overall survival increased from 15.2% for patients diagnosed from 2004 through 2015 to 75% for patients diagnosed from 2016 through 2019 (Fig. 4f). Patients with KRAS mutant tumors had worse survival relative to KRAS wildtype (median OS 26.8 vs 37.1 months, HR = 1.3, p-value = 0.0007, Supplementary Fig. 6).
a Kaplan–Meier overall survival curves for patients with BRAF mutation before and after 2014, error bars represent 95% CI, log-rank p = 0.04. Median overall survival (b) and three-year survival rate (c) for patients with BRAF mutation, note improvement after 2015. Kaplan–Meier overall survival curve (d), median overall survival, error bars represent 95% CI, log-rank p = 0.008 (e) and three-year survival rate (f) for MSI-H patients, note improvement after 2015 where median overall survival is not-yet-reached. Number of patients indicated above bar plot.
Primary tumor sidedness
For patients diagnosed from 2004 through 2019, the overall survival rate for patients with primary tumors in the left colon was 28% compared to 17.5% for those with right sided tumors (HR: 0.63, 95% CI, 0.54 to 0.71, P < 0.0001, Fig. 5a). The change in survival over time was similar for patients with either left or right sided tumors, with left sided tumors consistently showing better survival for each time interval evaluated (Fig. 5b–d). Likewise, the 5-year overall survival rate was also consistently better for patients with left-sided tumors (Fig. 5e).
a Kaplan–Meier overall survival curves comparing patients based on primary site location, log-rank p < 0.0001. Kaplan–Meier overall survival curves showing the change in overall survival of patients with left (b) and right (c) sided tumors. d Median overall survival of patients according to tumor location binned by time of diagnosis. e Five-year survival rate according to tumor location binned by time of diagnosis. For 2016 to 2019, this has not yet reached.
Discussion
This retrospective study highlights the gradual improvement in overall survival for patients with metastatic CRC over the last twenty years. This finding is consistent with the trend seen in the national SEER database39, but these single institution data offer greater granularity by including important data regarding treatment history as well as pathologic and molecular biomarkers. The results of univariate and multivariate regression analyses suggest that the primary drivers of this survival improvement are the increased utilization of CLM resection, the use of immunotherapy for MSI-H tumors, and the use of third line chemotherapy. Resection of hepatic metastases increased significantly after 2014, and in the last few years has stabilized at approximately 20% of metastatic CRC patients. This percentage is similar to other recent retrospective surgical case series, as is the median overall survival of over six years in resected patients according to reports in early 2000s4,32,41,42,43,44,45 and reports after 201023,46,47. The possibility of long term disease free survival underscores the importance of considering hepatic resection as a treatment option for patients with metastatic CRC23,48,49. However, proper selection of patients most likely to benefit from CLM resection is important and non-trivial50,51,52; at UTMDACC, it is standard practice to present all potential CLM resection candidates at a multi-disciplinary tumor board to reach consensus regarding resectability, potential neo-adjuvant chemotherapy, and potential non-surgical local therapy53.
Although excellent outcomes were observed in patients undergoing CLM resection, the fact that improvement in survival was seen when CLM patients were removed from analysis (Supplementary Fig. 5) indicates that other factors are contributing to survival improvement. Multivariate regression analysis indicates that use of immunotherapy, which was rare prior to 2015, was also a key driver of the observed improvement in survival. In the era of immunotherapy, the median OS for patients with MSI-H tumors was not-yet-reached (Fig. 4d), suggesting that similar to CLM, many of these patients will experience long-term disease-free survival. Although only CLM resection, use of immune therapy, and use of third line chemotherapy remained significant in multivariate analysis, there are likely multiple other factors contributing to the survival improvement, some of which may not have been well captured by our study. Improvements in the radiographic staging of CRC including higher resolution CT scanning, as well as use of magnetic resonance imaging (MRI) with diffusion weighted imaging (DWI), and integrated positron-emission tomography (PET)/CT allow for better risk stratification54 and ultimately aid in the selection of the optimal therapy for each patient. Advances in molecular biomarkers, including the discovery that Ras mutant tumors do not respond to anti-EGFR antibodies55 and are more likely to recur after CLM47, have similarly aided optimizing the therapy for each patient. Improvements in supportive care, including the management of comorbid diseases, also likely contributed to survival improvements but were not well captured in our study. Similarly, data on socioeconomic status, which has been associated with survival in cancer patients56, was not available. It is also possible that socioeconomic status contributes to the worse outcomes seen in African American patients and better outcomes seen in Asian patients (Table 2), although differences intrinsic differences in tumor genetics may also contribute57.
As a retrospective, single institutional study there are several inherent limitations to study design. With regards to the retrospective collection of data, the completeness of documentation was a factor outside of our control, for this reason only patients who received their chemotherapy at UTMDACC were included in the study as documentation for many patients seen only as consults or second opinions was incomplete. Incomplete documentation of chemotherapy treatments or stage in the earliest years of this study is the mostly likely reason less patients were included from those years, however there was no indication that this restriction biased the early part of the cohort in terms of performance status or comorbidity, race, or other demographic features. Finally, we did not capture if patients underwent tumor resection in extrahepatic sites, nor interventional radiology ablative procedures or Selective Internal Radiation Therapy (SIRT)58,59. UTMDACC is a tertiary referral center, with a significant fraction of patients traveling from out of state for treatment (Supplementary Fig. 7), which has a tendency to skew the patient population to higher socioeconomic status, better performance status, and younger age relative to the broader metastatic CRC population in the United States. However, patients in community cancer centers have access to the same FDA approved drugs as those at an academic center, and it is increasingly being recognized that it is critical to include liver surgeons in community oncology tumor boards to identify potentially resectable candidates60,61. Therefore, we feel that these data are relevant to so called “real world” metastatic CRC patients in both community and academic settings.
In summary, the prognosis of patients diagnosed with metastatic CRC has improved significantly over the last twenty years. However, even with these improvements only a minority of patients will survive five years from their time of diagnosis, highlighting the critical need for continued research to develop better treatments for what remains a lethal disease. Clinically, these data underscore the importance of identifying potential candidates for immune therapy and CLM resection.
Methods
Institutional patient identification
This study was approved by the UTMDACC Institutional Review Board, protocol 09-0373; a waiver of informed consent was granted per USA federal regulation 45 CFR 46.116(f) (Common Rule) given minimal risk to patients. Adult patients diagnosed with metastatic CRC were identified from the electronic health record (EHR) at the University of Texas M.D. Anderson Cancer Center (UTMDACC) using the Foundry software system (Palantir Technologies, Denver, CO). Patients diagnosed between January 1, 2004, and December 31, 2019, were selected for study, with follow-up until April 15, 2021. Only patients with confirmed adenocarcinoma of colon and/or rectum and de novo metastatic disease were included in the study. Patients who underwent resection of hepatic metastases were identified using a prospectively maintained surgical database. Patients who visited just for consultation and did not receive their treatment at UTMDACC were excluded (Supplementary Fig. 2). Patient characteristics can be seen in Table 1.
Vital status was determined through clinical follow-up, search of administrative death indices, and follow-up correspondence to patients. Pharmacy databases were used to extract chemotherapy administration details in an automated fashion using the Foundry system. The percentage of each chemotherapy administered in a given year was calculated with respect to the total chemotherapy treatments given to all metastatic CRC patients in the study in the same year. To verify information extracted via the Foundry system and tumor registry, 5% of the available patients were randomly selected and charts reviewed manually to confirm the presence of metastatic disease, tumor histology, diagnosis date, vital status, chemotherapy administered, and history of liver resection.
Statistical analysis
Cox Proportional hazard model was first fit by univariates analysis; a p-value < 0.05 was considered significant in the model. Significant factors were included for further multivariate analysis. Variables included were: Age at diagnosis, Anti-BRAF, Anti-EGFR, Cardiovascular, Chronic Kidney Disease, Depression, Diabetes, Gender, Hyperlipidemia, Hypertension, Immunotherapy, Liver Resection, Third Line Treatment, Race, Primary Tumor Sidedness, Thyroid Disease, Year of Diagnosis. A P < 0.05 was considered significant. Overall survival analysis was fit to 1420 patients, and Kaplan–Meier survival curves were generated. Comparison of different groups was performed using the log-rank test; p-value < 0.05 was considered significant. For analysis of the impact of hepatic resection on survival, the length of survival is known to impact the possibility that patients will undergo hepatic resection, thereby inducing a bias in favor of resection using traditional survival methods40. Hence, a landmark analysis was used to decrease bias induced by including various events that happens after the baseline hazard models4,62,63. The landmark time used was 6, 12, 18, and 24 months and the analysis included only patients alive after any of those points, and compared the survival outcome between patients who had and had not undergone resection in said months. A landmark analysis was done to evaluate the impact of resection after controlling for 6, 12, 18, and 24 months of diagnosis40. In addition, Kaplan–Meier curves were plotted after removing patients who underwent partial resection to assess outcomes other than surgery on survival. All analyses were performed using SPSS version 26.0 (SPSS, Chicago, IL), GraphPad Prism version 8.0 (GraphPad; La Jolla, CA), and R version 4.0.1.
Molecular data
Molecular testing was performed at MD Anderson’s College of American Pathologists (CAP) accredited and Clinical Laboratory Improvement Amendments (CLIA) certified molecular diagnostics laboratory. PCR-based next generation sequencing (NGS) was used to test for mutations in the coding sequence of 134 genes and copy number variations (CNV) in 47 genes as previously described64 using GRCh37/hg19 as reference sequence. Microsatellite status was determined by immunohistochemistry evaluation for mismatch repair proteins MLH1, MSH2, MSH6, and PMS2 per standard criteria65.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Data availability
The datasets generated during and/or analyzed during the current study are not publicly available to maintain compliance with IRB protocol. Anonymized data are available for non-commercial use from corresponding author upon request pending data usage agreement and/or IRB-approved collaboration.
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Acknowledgements
Patient population and various related data elements were identified and retrieved through a search of the Tumor Registry database maintained by the Department of Tumor Registry. We also thank Drew Goldstein, Anastasia Turin, and Lori Kohen for assistance with developing the Foundry software used for data aggregation. This work was supported by the National Cancer Institute (L30 CA171000 and K22 CA234406 to J.P.S., SPORE P50CA221707 to S.K, and The Cancer Center Support Grant P30 CA016672), the Cancer Prevention & Research Institute of Texas (RR180035 to J.P.S., J.P.S. is a CPRIT Scholar in Cancer Research), the MD Anderson Colorectal Cancer Moonshot Program and the Col. Daniel Connelly Memorial Fund. This work was also funded by a Conquer Cancer Career Development Award to J.P.S. Any opinions, findings, and conclusions expressed in this material are those of the author(s) and do not necessarily reflect those of the American Society of Clinical Oncology® or Conquer Cancer.
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J.P.S. (principal investigator) conceptualized the paper, obtained funding and provided oversight, contributed to patient enrollment and treatment, patient assessment, data analysis, data interpretation, and writing the manuscript. F.A.Z., S.K., and J.P.S. conceived and designed the study. A.D., R.H., B.J., B.K., M.S.L., M.P.M., V.K.M, M.J.O, C.P., K.R., J.W., R.A.W, Y.K, J.V., and S.K contributed to patient enrollment, and treatment, and assessment. F.A.Z. and M.A.Z. contributed to literature search, data acquisition, data analysis, data interpretation, and manuscript writing. A.Y. contributed to data acquisition, data analysis, data interpretation, and manuscript writing. Y.G., S.C., and R.S., contributed to the statistical analysis and writing of the manuscript. All authors read, reviewed the manuscript, and approved the final version of the manuscript.
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AD is an advisor for HutchMed; Personalis Inc; AAA / Novartis; Ipsen and receives research funding from Eisai, HutchMed; Guardant Health; Xencor. BJ is an advisor for Gritstone bio; Incyte; Taiho Oncology; Insmed Oncology and research funding from Bristol-Myers Squibb; Syntrix; Gateway for Cancer Research. CP receives honoraria from Merck and Pfizer and research support from Amgen, Inc and Lilly. KR is an advisor for Bayer; Daiichi; AstraZeneca; Seattle Genetics and receives research funding from Guardant, Bayer; Daiichi; AstraZeneca; Amgen, Medimmune. MSL is an advisor for Pfizer; Delcath and receives research funding from EMD Serono, Inc; Amgen, Inc, Bristol-Myers Squibb Co; Pfizer, Inc; Genentech/Roche; Exelixis, Inc, and Rafael Pharmaceuticals; MO is an advisor for Takeda Pharmaceuticals; Pfizer; Merck; Glaxosmithkline and receives research funding from Roche; Takeda; Merck; BMS. VM is an advisor for Incyte; SERVIER; Boehringer Ingelheim; Axiom Healthcare Strategies; BioMedical Insights; Bicara Therapeutics and receives research funding from Immatics; Bristol-Myers Squibb; EMD Serono; Pfizer; BioNTech AG; Bicara Therapeutics. SK has ownership interest in Lutris, Iylon, Frontier Medicines, Xilis, Navire and is a consultant for Genentech, EMD Serono, Merck, Holy Stone Healthcare, Novartis, Lilly, Boehringer Ingelheim, AstraZeneca/MedImmune, Bayer Health, Redx Pharma, Ipsen, HalioDx, Lutris, Jacobio, Pfizer, Repare Therapeutics, Inivata, GlaxoSmithKline, Jazz Pharmaceuticals, Iylon, Xilis, Abbvie, Amal Therapeutics, Gilead Sciences, Mirati Therapeutics, Flame Biosciences, Servier, Carina Biotech, Bicara Therapeutics, Endeavor BioMedicines, Numab, Johnson & Johnson/Janssen, Genomic Health, Frontier Medicines, Replimune, Taiho Pharmaceutical, Cardiff Oncology, Ono Pharmaceutical, Bristol-Myers Squibb-Medarex, Amgen, Tempus, Foundation Medicine, Harbinger Oncology, Inc, Takeda, CureTeq, Zentalis, Black Stone Therapeutics, NeoGenomics Laboratories, Accademia Nazionale Di Medicina, and receive research funding from Sanofi, Biocartis, Guardant Health, Array BioPharma, Genentech/Roche, EMD Serono, MedImmune, Novartis, Amgen, Lilly, Daiichi Sankyo; JPS is an advisor for Engine Biosciences and receives research funding from Celsius Therapeutics. The remaining authors declare no competing interests.
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Zeineddine, F.A., Zeineddine, M.A., Yousef, A. et al. Survival improvement for patients with metastatic colorectal cancer over twenty years. npj Precis. Onc. 7, 16 (2023). https://doi.org/10.1038/s41698-023-00353-4
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DOI: https://doi.org/10.1038/s41698-023-00353-4