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Li Z, Huang H, Zhao Z, Ma W, Mao H, Liu F, Yang Y, Wang D, Lu Z. Development and Validation of a Nomogram Based on DCE-MRI Radiomics for Predicting Hypoxia-Inducible Factor 1α Expression in Locally Advanced Rectal Cancer. Acad Radiol 2024:S1076-6332(24)00300-3. [PMID: 38816315 DOI: 10.1016/j.acra.2024.05.015] [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: 03/17/2024] [Revised: 05/09/2024] [Accepted: 05/10/2024] [Indexed: 06/01/2024]
Abstract
RATIONALE AND OBJECTIVES The expression levels of hypoxia-inducible factor 1 alpha (HIF-1α) have been identified as a pivotal marker, correlating with treatment response in patients with locally advanced rectal cancer (LARC). This study aimed to develop and validate a nomogram based on dynamic contrast-enhanced MRI (DCE-MRI) radiomics and clinical features for predicting the expression of HIF-1α in patients with LARC. MATERIALS AND METHODS A total of 102 patients diagnosed with locally advanced rectal cancer were divided into training (n = 71) and validation (n = 31) cohorts. The expression statuses of HIF-1α were histopathologically classified, categorizing patients into high and low expression groups. The intraclass correlation coefficient (ICC), minimum redundancy maximum relevance (mRMR), and the least absolute shrinkage and selection operator (LASSO) were employed for feature selection to construct a radiomics signature and calculate the radiomics score (Rad-score). Univariate and multivariate analyses of clinical features and Rad-score were applied, and the clinical model and the nomogram were constructed. The predictive performance of the nomogram incorporating clinical features and Rad-score was assessed using Receiver Operating Characteristics (ROC) curves, decision curve analysis (DCA), and calibration curves. RESULTS Seven radiomics features from DCE-MRI were used to build the radiomics signature. The nomogram incorporating CEA, Ki-67 and Rad-score had the highest AUC values in the training cohort and in the validation cohort (AUC: 0.918 and 0.920). Decision curve analysis showed that the nomogram outperformed the clinical model and radiomics signature in terms of clinical utility. In addition, the calibration curve for the nomogram demonstrated good agreement between prediction and actual observation. CONCLUSION The nomogram based on DCE-MRI radiomics and clinical features showed favorable predictive efficacy and might be useful for preoperatively discriminating the expression of HIF-1α.
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Affiliation(s)
- Zhiheng Li
- Department of Radiology, Shaoxing People's Hospital, Shaoxing, China
| | - Huizhen Huang
- Department of Radiology, Shaoxing People's Hospital, Shaoxing, China
| | - Zhenhua Zhao
- Department of Radiology, Shaoxing People's Hospital, Shaoxing, China
| | - Weili Ma
- Department of Radiology, Shaoxing People's Hospital, Shaoxing, China
| | - Haijia Mao
- Department of Radiology, Shaoxing People's Hospital, Shaoxing, China
| | - Fang Liu
- Department of Pathology, Shaoxing People's Hospital, Shaoxing, China
| | - Ye Yang
- Department of Pathology, Shaoxing People's Hospital, Shaoxing, China
| | - Dandan Wang
- Department of Radiology, Shaoxing People's Hospital, Shaoxing, China
| | - Zengxin Lu
- Department of Radiology, Shaoxing People's Hospital, Shaoxing, China.
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Zhou C, Wang K, Zhang X, Xiao Y, Yang C, Wang J, Qu F, Wang X, Liu M, Gao C, Xiao L, Wu F. Assessing the predictive value of clinical factors to pathological complete response for locally advanced rectal cancer: An analysis of 124 patients. Front Oncol 2023; 13:1125470. [PMID: 37064150 PMCID: PMC10102576 DOI: 10.3389/fonc.2023.1125470] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 03/21/2023] [Indexed: 04/03/2023] Open
Abstract
PurposeTo investigate the clinical factors affecting pathological complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC).MethodsClinical data of 124 LARC patients treated with nCRT and surgery in the fourth Hospital of Hebei Medical University from 2014 to 2019 were retrospectively analyzed. In this study, univariate analysis and logistic dichotomous multivariate regression analysis were used to study the clinical factors affecting pCR, and the receiver operator characteristic curve (ROC) analysis was used to further verify the accuracy of partial indexes in predicting pCR.ResultsOf the 124 enrolled patients, 19 patients (15.32%) achieved pCR. Univariate analysis showed that the number of cycles of consolidation chemotherapy, serum carcino-embryonic antigen (CEA) level before treatment, MRI longitudinal length of tumor, and extramural vascular invasion (EMVI) were statistically correlated with pCR. ROC analysis of the longitudinal length of tumor measured by MRI showed that the area under the curve (AUC) value, sensitivity and specificity were 0.735, 89.47% and 48.57% respectively, and the optimal cut-off value was 5.5cm. The ROC analysis showed that the AUC value, sensitivity and specificity of pCR prediction using CEA were 0.741, 63.16% and 90.48%, respectively, and the optimal cut-off value was 3.1ng/ml. Multivariate results showed that the number of cycles of consolidation chemotherapy, serum CEA level before treatment, and EMVI were independent predictors of pCR.ConclusionThe number of cycles of consolidation chemotherapy, serum CEA level before treatment, and EMVI may be important determinants of LARC patients to reach pCR after nCRT.
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Affiliation(s)
- Chaoxi Zhou
- Department of General Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Kanghua Wang
- Department of Medical Oncology, Affiliated Hospital Of Hebei University, Baoding, China
- Department of Radiotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xiaoxiao Zhang
- Department of Radiation Oncology, Hebei Cancer Hospital Chinese Academy of Medical Sciences, Langfang, China
| | - Yuting Xiao
- Department of Radiotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Congrong Yang
- Department of Radiotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Jun Wang
- Department of Radiotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Fuyin Qu
- Department of Radiotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xuan Wang
- Department of Radiotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Ming Liu
- Department of Radiotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Chao Gao
- Department of Radiotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Linlin Xiao
- Department of Radiotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Fengpeng Wu
- Department of Radiotherapy, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- *Correspondence: Fengpeng Wu,
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Pretreatment Carcinoembryonic Antigen Level Serves as a Potential Biomarker to Guide Adjuvant Radiotherapy in pT4N+ Colon Cancer Patients. JOURNAL OF ONCOLOGY 2023; 2023:4815996. [PMID: 36844877 PMCID: PMC9950319 DOI: 10.1155/2023/4815996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 01/18/2023] [Accepted: 01/31/2023] [Indexed: 02/18/2023]
Abstract
The survival benefit of adjuvant radiotherapy in T4 colon cancer (CC) remains controversial, with conflicting results reported in the literature. This study aimed to explore the relationship between pretreatment carcinoembryonic antigen (CEA) level and overall survival (OS) of pT4N+ CC patients treated with adjuvant radiotherapy. Data of pT4N+ CC patients who received curative surgery between 2004 and 2015 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. The primary outcome was OS, and subgroup analysis was conducted according to pretreatment CEA level. A total of 8763 patients were eligible for our study. In the CEA-normal group, 151 patients received adjuvant radiotherapy, while 3932 patients did not. In the CEA-elevated group, 212 patients received adjuvant radiotherapy, while 4468 patients did not. In general, adjuvant radiotherapy was associated with better OS in pT4N+ CC patients (HR = 0.846, 95% CI = 0.733-0.976, P = 0.022). Intriguingly, only patients with an elevated pretreatment CEA level gained a survival benefit from adjuvant radiotherapy (HR = 0.782; 95% CI = 0.651-0.939; P = 0.008) while those with a normal pretreatment CEA level did not (HR = 0.907; 95% CI = 0.721-1.141; P = 0.403). Multivariable Cox regression analysis demonstrated that adjuvant radiotherapy was an independent protective factor in pT4N+ CC patients with an elevated pretreatment CEA level. Pretreatment CEA levels could serve as a potential biomarker to screen pT4N+ CC patients who would benefit from adjuvant radiotherapy.
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Promises and Challenges of Predictive Blood Biomarkers for Locally Advanced Rectal Cancer Treated with Neoadjuvant Chemoradiotherapy. Cells 2023; 12:cells12030413. [PMID: 36766755 PMCID: PMC9913546 DOI: 10.3390/cells12030413] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 01/24/2023] [Indexed: 01/27/2023] Open
Abstract
The treatment of locally advanced rectal cancer (LARC) requires a multimodal approach combining neoadjuvant radiotherapy or chemoradiotherapy (CRT) and surgery. Predicting tumor response to CRT can guide clinical decision making and improve patient care while avoiding unnecessary toxicity and morbidity. Circulating biomarkers offer both the advantage to be easily accessed and followed over time. In recent years, biomarkers such as proteins, blood cells, or nucleic acids have been investigated for their predictive value in oncology. We conducted a comprehensive literature review with the aim to summarize the status of circulating biomarkers predicting response to CRT in LARC. Forty-nine publications, of which forty-seven full-text articles, one review and one systematic review, were retrieved. These studies evaluated circulating markers (CEA and CA 19-9), inflammatory biomarkers (CRP, albumin, and lymphocytes), hematologic markers (hemoglobin and thrombocytes), lipids and circulating nucleic acids (cell-free DNA [cfDNA], circulating tumor DNA [ctDNA], and microRNA [miRNA]). Post-CRT CEA levels had the most consistent association with tumor response, while cfDNA integrity index, MGMT promoter methylation, ERCC-1, miRNAs, and miRNA-related SNPs were identified as potential predictive markers. Although circulating biomarkers hold great promise, inconsistent results, low statistical power, and low specificity and sensibility prevent them from reliably predicting tumor response following CRT. Validation and standardization of methods and technologies are further required to confirm results.
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Qing S, Gu L, Du T, Yin X, Zhang KJ, Zhang HJ. A Predictive Model to Evaluate Pathologic Complete Response in Rectal Adenocarcinoma. Technol Cancer Res Treat 2023; 22:15330338231202893. [PMID: 37750231 PMCID: PMC10521307 DOI: 10.1177/15330338231202893] [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: 10/13/2022] [Revised: 08/02/2023] [Accepted: 09/01/2023] [Indexed: 09/27/2023] Open
Abstract
Introduction: Neoadjuvant chemo-radiotherapy (nCRT) before surgery was a standard treatment strategy for locally advanced rectal cancer (LARC). The aim of this study was to assess the relationship between the predictive factors and pathological complete response (pCR) in rectal cancer patients, especially in ultra-low ones. Method: A total of 402 patients were involved in this retrospective study. The logistic regression analyses were used to compare the different subgroups in univariate analysis. Multivariate analysis was performed to determine the independent predictive factors of pCR by using a logistic regression model. Results: A total of 402 patients received preoperative CRT. In all patients, multivariate analysis revealed that circumferential tumor extent rate (CER) (≤ 2/3cycle vs >2/3 cycle, P < .001, OR = 4.834, 95% CI: 2.309-10.121), carcinoembryonic antigen (CEA) level (both ≤ 5 vs pre > 5 and post ≤ 5 vs both > 5, P = .033, OR = 1.537, 95% CI: 1.035-2.281), and interval time between the end of CRT and surgery (P = .031, OR = 2.412, 95% CI: 1.086-5.358) were predictive factors for pCR. The area under the curve (AUC) of the predictive model was 0.709 (95% CI: 0.649-0.769), which was significantly higher than the CER (0.646, 95% CI: 0.584-0.709), interval time (0.563, 95% CI: 0.495-0.631) and CEA level (0.586, 95% CI: 0.518-0.655). In ultra-low rectal patients, multivariate logistic regression analysis revealed that CER (≤ 2/3 cycle vs > 2/3 cycle, P = .003, OR = 7.203, 95% CI: 1.934-26.823) and mismatch repair (MMR) status (pMMR vs dMMR, P = .016, OR = 0.173, 95% CI: 0.041-0.720) were predictive factors for pCR. The AUC of the predictive model was 0.653 (95% CI: 0.474-0.832). Conclusion: New predictive models were varied by the histologic types and MMR statuses to evaluate the trend of tumor response to nCRT in all RC cases and ultra-low RC patients, which may be used to individualize stratify for selected LARC patients.
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Affiliation(s)
- Shuiwang Qing
- Department of Radiation Oncology, Changhai Hospital of Naval Military Medical University, Shanghai, China
| | - Lei Gu
- Department of Radiation Oncology, Changhai Hospital of Naval Military Medical University, Shanghai, China
| | - Tingting Du
- Department of Special Clinic, Changhai Hospital of Naval Military Medical University, Shanghai, China
| | - Xiaolan Yin
- Department of Radiation Oncology, Changhai Hospital of Naval Military Medical University, Shanghai, China
| | - Ke-jia Zhang
- Clinical Medicine, Medical College of Nantong University, Nantong, China
- Present address: Department of Urology, Shanghai East Hospital, Tongji University, Shanghai, China
| | - Huo-jun Zhang
- Department of Radiation Oncology, Changhai Hospital of Naval Military Medical University, Shanghai, China
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Zhang H, Cao K, Li G, Zhai Z, Wei G, Qu H, Wang Z, Han J. Active surveillance in long period of total neoadjuvant therapy in rectal cancer: Early prediction of poor regression response. Front Oncol 2022; 12:1049228. [PMID: 36439518 PMCID: PMC9685996 DOI: 10.3389/fonc.2022.1049228] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 10/25/2022] [Indexed: 11/12/2022] Open
Abstract
Aim To analyze locally advanced rectal cancer (LARC) patients and tumor characteristics during the period of total neoadjuvant therapy (TNT) and explore the risk factors that may predict poor tumor regression in response to TNT. Materials and methods The data of 120 LARC patients who received TNT from December 2016 and September 2019 in our hospital were retrospectively analyzed. The clinicopathological characteristics of patients with different tumor regression responses were compared. Then we divided patients into two groups according to the carcinoembryonic antigen (CEA) clearance pattern after chemoradiation to explore risk factors that might predict the tumor regression response. Results Of 120 LARC patients, 34 (28.3%) exhibited poor regression. Stratified analysis by tumor response showed that patients with poor response to TNT were more likely to obtain elevated CEA during the course of TNT (all P < 0.05). For those with elevated pretreatment CEA, fewer patients with poor response obtained normal CEA after chemoradiation (13.6% vs. 72.7%, P < 0.001). Besides, less patients’ CEA levels in the poor response group decreased by greater than 50% after chemoradiation when compared with that in the good response group (18.2% vs. 60.6%, P = 0.002). Stratified analysis by CEA clearance pattern after chemoradiation showed patients who obtained an elevated pretreatment CEA and decreased by less than 50% after chemoradiation were more likely to have poor response to TNT compared to others (76.2% vs. 18.2%, P < 0.001). Logistic multivariate analysis revealed that cN2 (95% CI 1.553-16.448), larger tumors (95% CI 2.250-21.428) and CEA clearance pattern after chemoradiation (95% CI 1.062-66.992) were independent risk factors for poor tumor regression response. Conclusion Approximately one-fourth of LARC patients with TNT achieved a poor regression response. Here, cN2, larger tumor size before treatment and elevated CEA levels were considered predictive features of a poor response. Active surveillance of CEA levels during the TNT course are potentially important, and CEA levels after chemoradiation might have important implications for the tumor response to TNT.
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Affiliation(s)
| | | | | | | | | | | | | | - Jiagang Han
- *Correspondence: Jiagang Han, ; Zhenjun Wang,
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Zhao JY, Tang QQ, Luo YT, Wang SM, Zhu XR, Wang XY. Predictive value of a serum tumor biomarkers scoring system for clinical stage II/III rectal cancer with neoadjuvant chemoradiotherapy. World J Gastrointest Oncol 2022; 14:2014-2024. [PMID: 36310703 PMCID: PMC9611435 DOI: 10.4251/wjgo.v14.i10.2014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/06/2022] [Accepted: 08/22/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Multiple classes of molecular biomarkers have been studied as potential predictors for rectal cancer (RC) response. Carcinoembryonic antigen (CEA) is the most widely used blood-based marker of RC and has proven to be an effective predictive marker. Cancer antigen 19-9 (CA19-9) is another tumor biomarker used for RC diagnosis and postoperative monitoring, as well as monitoring of the therapeutic effect. Using a panel of tumor markers for RC outcome prediction is a practical approach.
AIM To assess the predictive effect of pre-neoadjuvant chemoradiotherapy (NCRT) CEA and CA19-9 levels on the prognosis of stage II/III RC patients.
METHODS CEA and CA19-9 levels were evaluated 1 wk before NCRT. According to the receiver operating characteristic curve analysis, the optimal cut-off point of CEA and CA19-9 levels for the prognosis were 3.55 and 19.01, respectively. The novel serum tumor biomarker (NSTB) scores were as follows: score 0: Pre-NCRT CEA < 3.55 and CA19-9 < 19.01; score 2: Pre-NCRT CEA > 3.55 and CA19-9 > 19.01; score 1: Other situations. Pathological information was recorded according to histopathological reports after the operation.
RESULTS In the univariate analysis, pre-NCRT CEA < 3.55 [P = 0.025 for overall survival (OS), P = 0.019 for disease-free survival (DFS)], pre-NCRT CA19-9 < 19.01 (P = 0.014 for OS, P = 0.009 for DFS), a lower NSTB score (0-1 vs 2, P = 0.009 for OS, P = 0.005 for DFS) could predict a better prognosis. However, in the multivariate analysis, only a lower NSTB score (0-1 vs 2; for OS, HR = 0.485, 95%CI: 0.251-0.940, P = 0.032; for DFS, HR = 0.453, 95%CI: 0.234-0.877, P = 0.019) and higher pathological grade, node and metastasis stage (0-I vs II-III; for OS, HR = 0.363, 95%CI: 0.158-0.837, P = 0.017; for DFS, HR = 0.342, 95%CI: 0.149-0.786, P = 0.012) were independent predictive factors.
CONCLUSION The combination of post-NCRT CEA and CA19-9 was a predictive factor for clinical stage II/III RC patients receiving NCRT, and the combined index had a stronger predictive effect.
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Affiliation(s)
- Jie-Yi Zhao
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Qing-Qing Tang
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Yu-Ting Luo
- West China Medical School, Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Shu-Min Wang
- West China Medical School, Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Xiao-Rui Zhu
- West China Medical School, Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Xiao-Yu Wang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
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Zhao J, Zhao H, Jia T, Yang S, Wang X. Combination of Changes in CEA and CA199 Concentration After Neoadjuvant Chemoradiotherapy Could Predict the Prognosis of Stage II/III Rectal Cancer Patients Receiving Neoadjuvant Chemoradiotherapy Followed by Total Mesorectal Excision. Cancer Manag Res 2022; 14:2933-2944. [PMID: 36200095 PMCID: PMC9529229 DOI: 10.2147/cmar.s377784] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 09/19/2022] [Indexed: 11/23/2022] Open
Abstract
Background Previous studies have shown that the levels of serum tumor markers CEA and CA19-9 were related to chemoradiotherapy. Therefore, it has been assumed that dynamic monitoring of these markers could predict the prognosis of stage II/III rectal cancer (RC). Therefore, this study proposed to evaluate the prognostic value of changes in serum tumor biomarkers for stage II/III RC patients undergoing neoadjuvant chemoradiotherapy (NCRT) followed by total mesorectal excision (TME). Methods A total of 217 patients with stage II/III RC receiving NCRT followed by TME were retrospectively analyzed. Serum CEA and CA199 levels were measured within one week before NCRT and one week before TME. The optimal cut-off points of ∆CEA% and ∆CA199% for prognosis prediction were calculated by receiver operating characteristics (ROC) analysis. Independent prognostic predictors were identified by univariate and multivariate Cox regression analyses. To avoid the efficiency of ∆CEA% and ∆CA199% on serum tumor biomarker change (STBC) score, two models including and excluding ∆CEA% and ∆CA199% were established separately in multivariate analysis. Results The optimal cut-off point for ∆CEA% and ∆CA199% were −30.29% and 20.30%, respectively. Univariate analysis showed that ∆CEA%, ∆CA199%, STBC score, ypT staging and yN staging could predict OS. ypT staging and STBC score could predict DFS. In multivariate analysis, only ∆CA199% (HR = 0.468, 95% CI: 0.220–0.994, p = 0.048), ypT staging (HR = 0.420, 95% CI: 0.182–0.970, p = 0.042), and STBC score (HR = 0.204, 95% CI: 0.078–0.532, p = 0.001) were independently related to OS; and STBC score (HR = 0.412, 95% CI: 0.216–0.785, p=0.007) and ypT staging (HR = 0.421, 95% CI: 0.224–0.792, p = 0.007) were independently related to DFS. Conclusion We established a combined STBC score to predict the prognosis of stage II/III RC patients receiving NCRT followed by TME. The predictive value of the combined score was stronger than a single marker alone and even stronger than several pathological indicators.
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Affiliation(s)
- Jieyi Zhao
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
- West China Medical School, Sichuan University, Chengdu, People’s Republic of China
| | - Huamin Zhao
- West China Medical School, Sichuan University, Chengdu, People’s Republic of China
| | - Tingting Jia
- West China Medical School, Sichuan University, Chengdu, People’s Republic of China
| | - Shiru Yang
- West China Medical School, Sichuan University, Chengdu, People’s Republic of China
| | - Xiaoyu Wang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
- West China Medical School, Sichuan University, Chengdu, People’s Republic of China
- Correspondence: Xiaoyu Wang, Tel +86 18980605160, Email
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Takenaka IKTM, Bartelli TF, Defelicibus A, Sendoya JM, Golubicki M, Robbio J, Serpa MS, Branco GP, Santos LBC, Claro LCL, Dos Santos GO, Kupper BEC, da Silva IT, Llera AS, de Mello CAL, Riechelmann RP, Dias-Neto E, Iseas S, Aguiar S, Nunes DN. Exome and Tissue-Associated Microbiota as Predictive Markers of Response to Neoadjuvant Treatment in Locally Advanced Rectal Cancer. Front Oncol 2022; 12:809441. [PMID: 35392220 PMCID: PMC8982181 DOI: 10.3389/fonc.2022.809441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 02/17/2022] [Indexed: 11/13/2022] Open
Abstract
The clinical and pathological responses to multimodal neoadjuvant therapy in locally advanced rectal cancers (LARCs) remain unpredictable, and robust biomarkers are still lacking. Recent studies have shown that tumors present somatic molecular alterations related to better treatment response, and it is also clear that tumor-associated bacteria are modulators of chemotherapy and immunotherapy efficacy, therefore having implications for long-term survivorship and a good potential as the biomarkers of outcome. Here, we performed whole exome sequencing and 16S ribosomal RNA (rRNA) amplicon sequencing from 44 pre-treatment LARC biopsies from Argentinian and Brazilian patients, treated with neoadjuvant chemoradiotherapy or total neoadjuvant treatment, searching for predictive biomarkers of response (responders, n = 17; non-responders, n = 27). In general, the somatic landscape of LARC was not capable to predict a response; however, a significant enrichment in mutational signature SBS5 was observed in non-responders (p = 0.0021), as well as the co-occurrence of APC and FAT4 mutations (p < 0.05). Microbiota studies revealed a similar alpha and beta diversity of bacteria between response groups. Yet, the linear discriminant analysis (LDA) of effect size indicated an enrichment of Hungatella, Flavonifractor, and Methanosphaera (LDA score ≥3) in the pre-treatment biopsies of responders, while non-responders had a higher abundance of Enhydrobacter, Paraprevotella (LDA score ≥3) and Finegoldia (LDA score ≥4). Altogether, the evaluation of these biomarkers in pre-treatment biopsies could eventually predict a neoadjuvant treatment response, while in post-treatment samples, it could help in guiding non-operative treatment strategies.
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Affiliation(s)
| | - Thais F Bartelli
- Medical Genomics Laboratory, International Center for Research, A.C.Camargo Cancer Center, São Paulo, Brazil
| | - Alexandre Defelicibus
- Laboratory of Bioinformatics and Computational Biology, International Center for Research, A.C. Camargo Cancer Center, São Paulo, Brazil
| | - Juan M Sendoya
- Laboratorio de Terapia Molecular y Celular - Genomics Unit, Fundación Instituto Leloir, Buenos Aires, Argentina.,Instituto de Investigaciones Bioquímicas de Buenos Aires (IIBBA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Mariano Golubicki
- Oncology Unit, Hospital de Gastroenterología Carlos Bonorino Udaondo, Buenos Aires, Argentina.,Clinical Oncology, Intergrupo Argentino para el Tratamiento de los Tumores Gastrointestinales (IATTGI), Buenos Aires, Argentina
| | - Juan Robbio
- Clinical Oncology, Intergrupo Argentino para el Tratamiento de los Tumores Gastrointestinales (IATTGI), Buenos Aires, Argentina
| | - Marianna S Serpa
- Medical Genomics Laboratory, International Center for Research, A.C.Camargo Cancer Center, São Paulo, Brazil
| | - Gabriela P Branco
- Medical Genomics Laboratory, International Center for Research, A.C.Camargo Cancer Center, São Paulo, Brazil
| | - Luana B C Santos
- Medical Genomics Laboratory, International Center for Research, A.C.Camargo Cancer Center, São Paulo, Brazil
| | - Laura C L Claro
- Department of Pathology, A.C.Camargo Cancer Center, São Paulo, Brazil
| | | | - Bruna E C Kupper
- Colorectal Cancer Department, A.C.Camargo Cancer Center, São Paulo, Brazil
| | - Israel T da Silva
- Laboratory of Bioinformatics and Computational Biology, International Center for Research, A.C. Camargo Cancer Center, São Paulo, Brazil
| | - Andrea S Llera
- Laboratorio de Terapia Molecular y Celular - Genomics Unit, Fundación Instituto Leloir, Buenos Aires, Argentina.,Instituto de Investigaciones Bioquímicas de Buenos Aires (IIBBA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Celso A L de Mello
- Department of Clinical Oncology, A.C.Camargo Cancer Center, São Paulo, Brazil
| | | | - Emmanuel Dias-Neto
- Medical Genomics Laboratory, International Center for Research, A.C.Camargo Cancer Center, São Paulo, Brazil.,Laboratory of Neurosciences (LIM-27) Alzira Denise Hertzog Silva, Institute of Psychiatry, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Soledad Iseas
- Oncology Unit, Hospital de Gastroenterología Carlos Bonorino Udaondo, Buenos Aires, Argentina
| | - Samuel Aguiar
- Colorectal Cancer Department, A.C.Camargo Cancer Center, São Paulo, Brazil
| | - Diana Noronha Nunes
- Medical Genomics Laboratory, International Center for Research, A.C.Camargo Cancer Center, São Paulo, Brazil.,National Institute of Science and Technology in Oncogenomics and Therapeutic Innovation (INCITO), São Paulo, Brazil
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10
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Mendis S, To YH, Tie J. Biomarkers in Locally Advanced Rectal Cancer: A Review. Clin Colorectal Cancer 2021; 21:36-44. [PMID: 34961731 DOI: 10.1016/j.clcc.2021.11.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 11/12/2021] [Accepted: 11/17/2021] [Indexed: 11/03/2022]
Abstract
Locally advanced rectal cancers (LARC) are the subject of a rapidly evolving treatment paradigm. The critical timepoints where management decisions are required during the care of the LARC patient are: prior to the institution of any treatment, post neoadjuvant therapy and post-surgery. This article reviews the clinical, imaging, blood-based, tissue-based, and molecular biomarkers that can assist clinicians at these timepoints in the patient's management, in prognosticating for their LARC patients or in predicting responses to therapy in the multi-modality neoadjuvant treatment era.
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Affiliation(s)
- Shehara Mendis
- Walter and Eliza Hall Institute, 1G Royal Parade, Parkville VIC 3052, Australia; 2. Western Health, Melbourne, VIC, Australia.
| | - Yat Hang To
- Walter and Eliza Hall Institute, 1G Royal Parade, Parkville VIC 3052, Australia; Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Jeanne Tie
- Walter and Eliza Hall Institute, 1G Royal Parade, Parkville VIC 3052, Australia; Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
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11
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Wang L, Zhong X, Lin H, Shao L, Chen G, Wu J. The Correlation Between Survival Benefit of Preoperative Radiotherapy and Pretreatment Carcinoembryonic Antigen Level in Locally Advanced Rectal Cancer. Front Oncol 2021; 11:735882. [PMID: 34692510 PMCID: PMC8529282 DOI: 10.3389/fonc.2021.735882] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 09/17/2021] [Indexed: 12/12/2022] Open
Abstract
Background Preoperative radiotherapy followed by radical surgery is the standard treatment for locally advanced rectal cancer; however, its long-term survival benefit remains controversial. This study aimed to determine the relationship between pretreatment carcinoembryonic antigen (CEA) levels and the long-term prognosis of preoperative radiotherapy in locally advanced rectal cancer (LARC) patients. Methods Data of LARC patients who underwent surgery between 2011 and 2015 were identified from the Surveillance, Epidemiology, and End Results (SEER) database, and patients were accordingly divided into surgery (S) group and radiotherapy followed by surgery (RT+S) group. The primary outcomes were cancer-specific survival (CSS) and cancer-specific mortality (CSM). CSS was evaluated using Kaplan-Meier analysis, while CSM was evaluated using a competitive risk model. Subgroup analysis was also conducted, which was stratified by pretreatment CEA levels. Results A total of 2,760 patients were eligible for this study, including 350 (12.7%) patients in the S group and 2,410 (87.3%) in the RT+S group. There were no significant differences in the CSS and CSM rates at 1, 3, and 4 years between the S and RT+S groups before and after PSM (all p > 0.05). Pretreatment CEA levels were independently associated with CSS and CSM after adjusting for age, sex, stage, pathological factors, and treatment factors (all p < 0.05). Subgroup analysis showed that preoperative radiotherapy would benefit patients with elevated CEA in terms of CSS and CSM (both p < 0.05) but not those patients with normal CEA (both p > 0.05). Further analysis showed that preoperative radiotherapy was an independent protective factor for CSS and CSM in patients with elevated CEA levels (both p < 0.05). Conclusions Pretreatment CEA level may be considered a potential biomarker to screen LACR patients who would benefit from preoperative radiotherapy in terms of long-term prognosis.
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Affiliation(s)
- Lei Wang
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China
| | - Xiaohong Zhong
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China
| | - Huaqin Lin
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China
| | - Lingdong Shao
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China
| | - Gang Chen
- Department of Pathology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China
| | - Junxin Wu
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China
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12
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Walker BS, Sutton TL, Zarour L, Hunter JG, Wood SG, Tsikitis VL, Herzig DO, Lopez CD, Chen EY, Mayo SC, Wong MH. Circulating Hybrid Cells: A Novel Liquid Biomarker of Treatment Response in Gastrointestinal Cancers. Ann Surg Oncol 2021; 28:8567-8578. [PMID: 34365557 DOI: 10.1245/s10434-021-10379-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 06/17/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND Real-time monitoring of treatment response with a liquid biomarker has potential to inform treatment decisions for patients with rectal adenocarcinoma (RAC), esophageal adenocarcinoma (EAC), and colorectal liver metastasis (CRLM). Circulating hybrid cells (CHCs), which have both immune and tumor cell phenotypes, are detectable in the peripheral blood of patients with gastrointestinal cancers, but their potential as an indicator of treatment response is unexplored. METHODS Peripheral blood specimens were collected from RAC and EAC patients after neoadjuvant therapy (NAT) or longitudinally during therapy and evaluated for CHC levels by immunostaining. Receiver operating characteristics (ROCs) and the Kaplan-Meier method were used to analyze the CHC level as a predictor of pathologic response to NAT and disease-specific survival (DSS), respectively. RESULTS Patients with RAC (n = 23) and EAC (n = 34) were sampled on the day of resection, and 11 patients (32%) demonstrated a pathologic complete response (pCR) to NAT. On ROC analysis, CHC levels successfully discriminated pCR from non-pCR with an area under the curve of 0.82 (95% confidence interval [CI], 0.71-0.92; P < 0.001). Additionally, CHC levels in the EAC patients correlated with residual nodal involvement (P = 0.026) and 1-year DSS (P = 0.029). The patients with RAC who were followed longitudinally during NAT (n = 2) and hepatic arterial infusion therapy for CRLM (n = 2) had CHC levels that decreased with therapy response and increased before clinical evidence of disease progression. CONCLUSION Circulating hybrid cells are a novel blood-based biomarker with potential for monitoring treatment response and disease progression to help guide decisions for further systemic therapy, definitive resection, and post-therapy surveillance. Additional validation studies of CHCs are warranted.
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Affiliation(s)
- Brett S Walker
- Department of Surgery, Oregon Health and Science University (OHSU), Portland, OR, USA
| | - Thomas L Sutton
- Department of Surgery, Oregon Health and Science University (OHSU), Portland, OR, USA
| | - Luai Zarour
- Department of Surgery, Oregon Health and Science University (OHSU), Portland, OR, USA
| | - John G Hunter
- Department of Surgery, Oregon Health and Science University (OHSU), Portland, OR, USA.,Knight Cancer Institute, Portland, OR, USA
| | - Stephanie G Wood
- Department of Surgery, Oregon Health and Science University (OHSU), Portland, OR, USA
| | - V Liana Tsikitis
- Department of Surgery, Oregon Health and Science University (OHSU), Portland, OR, USA.,Knight Cancer Institute, Portland, OR, USA
| | - Daniel O Herzig
- Department of Surgery, Oregon Health and Science University (OHSU), Portland, OR, USA
| | - Charles D Lopez
- Knight Cancer Institute, Portland, OR, USA.,Department of Medicine, Division of Hematology and Medical Oncology, Oregon Health and Science University (OHSU), Portland, OR, 97239, USA
| | - Emerson Y Chen
- Knight Cancer Institute, Portland, OR, USA.,Department of Cell, Developmental and Cancer Biology, Oregon Health and Science University, 2720 South Moody Aveune, Mailcode KC-CDCB, Portland, OR, 97201, USA
| | - Skye C Mayo
- Department of Surgery, Oregon Health and Science University (OHSU), Portland, OR, USA.,Knight Cancer Institute, Portland, OR, USA
| | - Melissa H Wong
- Knight Cancer Institute, Portland, OR, USA. .,Department of Cell, Developmental and Cancer Biology, Oregon Health and Science University, 2720 South Moody Aveune, Mailcode KC-CDCB, Portland, OR, 97201, USA.
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13
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Pang X, Gao Y, Yi H, Liu H, Liu S, Zheng J. Associations between clinical characteristics and tumor response to neoadjuvant chemoradiotherapy in rectal cancer. Cancer Med 2021; 10:4832-4843. [PMID: 34128335 PMCID: PMC8290248 DOI: 10.1002/cam4.4051] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 05/16/2021] [Accepted: 05/17/2021] [Indexed: 12/11/2022] Open
Abstract
Following standard neoadjuvant chemoradiotherapy and total mesorectal excision, some patients with locally advanced rectal cancer achieve good response (pathological T0-2N0), while others show nonresponse (pathological T3-4N0 or node-positive). To date, the clinicopathological predictors of good response and the necessity of adjuvant chemotherapy treatment (ACT) in good responders remain unclear. In this retrospective study, clinicopathological characteristics were surveyed to investigate the correlation with good response; furthermore, a propensity score matching (PSM) model was designed to balance the confounding factors between good responders treated with ACT or observation. A total of 2255 patients were enrolled, including 1069 good responders and 1186 nonresponders. The results of the survival analysis showed a good response predicted a better 3-year prognosis (p < 0.001). The logistic regression analysis showed less advanced T and N stages (T3 vs. T4; N0 vs. N1-2), more neoadjuvant chemotherapy (nCT) cycles (≥4 vs. 1-3), and delayed surgery (≥8 weeks vs. <8 weeks) were independent predictors of a good response (p < 0.05). Especially, patients treated with both more nCT cycles and a delay in surgery included the greatest number of good responders (p < 0.001). For good responders, after PSM (1:3), 235 observation cases were matched to 705 ACT cases. As compared with observation, ACT had no greater impact on prognosis analysis (p > 0.05). In conclusion, more cycles of nCT and a delay in surgery predicted a better response, and the delivery of ACT might be omitted in good responders.
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Affiliation(s)
- Xiaolin Pang
- Department of Radiation Oncology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Yuanhong Gao
- Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Hanchen Yi
- Department of Radiation Oncology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Hailing Liu
- Department of Pathology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Shuai Liu
- Department of Radiation Oncology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Jian Zheng
- Department of Radiation Oncology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China
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14
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Bai C, Wang H, Dong D, Li T, Yu Z, Guo J, Zhou W, Li D, Yan R, Wang L, Wang Z, Li Y, Ren L. Urea as a By-Product of Ammonia Metabolism Can Be a Potential Serum Biomarker of Hepatocellular Carcinoma. Front Cell Dev Biol 2021; 9:650748. [PMID: 33869206 PMCID: PMC8047217 DOI: 10.3389/fcell.2021.650748] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 03/05/2021] [Indexed: 01/15/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is highly malignant; nearly half of the new cases and deaths are in China. The poor prognosis of HCC is mainly due to late diagnosis; many new biomarkers have been developed for HCC diagnosis. However, few markers are quickly translated into clinical practice; early and differential diagnosis of HCC from cirrhosis and/or hepatitis is still a clinical challenge. Metabolomics and biochemical methods were used to reveal specific serum biomarkers of HCC. Most of the elevated metabolites in HCC and HBV patients were overlapped compared with controls. Urea was the specifically elevated serum biomarker of HCC patients. Moreover, urea combined with AFP and CEA can improve the sensitivity of HCC diagnosis. The plasma ammonia of HCC patients was significantly higher than healthy controls. Co-culture cell model revealed normal liver cells cooperated with cancer cells to metabolize ammonia into urea. The urea metabolism in cancer cells marginally depended on the expression of CPS1. However, the expression of CPS1 did not change with ammonium chloride, which might regulate the urea cycle through enzyme activity. The urea cycle could detoxify high concentrations of ammonia to promote cancer cell proliferation. Therefore, urea was a by-product of ammonia metabolism and could be a potential serum biomarker for HCC. The combined application of metabolomics and biochemical methods can discover new biomarkers for the early diagnosis of HCC and be quickly applied to clinical diagnosis.
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Affiliation(s)
- Changsen Bai
- Department of Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Hailong Wang
- Department of Cancer Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Dong Dong
- Department of Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Tong Li
- Department of Laboratory, Second Affiliated Hospital of Tianjin University of TCM, Tianjin, China
| | - Zhi Yu
- Department of Laboratory, First Affiliated Hospital of Shaoyang University, Shaoyang, China
| | - Junfei Guo
- Department of Laboratory, Guangdong Women and Children Hospital, Guangzhou, China
| | - Wei Zhou
- Department of Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Ding Li
- Department of Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Ruochen Yan
- School of Medical Laboratory, Tianjin Medical University, Tianjin, China
| | - Liyan Wang
- School of Medical Laboratory, Tianjin Medical University, Tianjin, China
| | - Zhaosong Wang
- Department of Public Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer, Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Yueguo Li
- Department of Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Li Ren
- Department of Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
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