A new post-operative prognostic System Combining CEA and CA199 for locally advanced rectal cancer patients undergoing neoadjuvant chemoradiotherapy followed by total mesorectal excision

DOI: https://doi.org/10.21203/rs.3.rs-2000787/v1

Abstract

Background

We aimed to assess the prognostic value of the combination of post-operative CEA and CA199 in patients with locally advanced rectal cancer (LARC) undergoing neoadjuvant chemoradiotherapy followed by TME.

Methods

Combined serum tumor biomarkers (CSTB) score were defined: Score 0: post-operative CEA < 2.550 and post-operative CA199 < 16.36; Score 2: post-operative CEA > 2.550 and post-operative CA199 > 16.36. Score 1: Other situations. The clinical outcome were overall survival (OS) and disease-free survival (DFS).

Results

According to multivariate analysis, for OS, only post-operative CA199 score were prognostic predictors, while post-operative CEA was not. For DFS, only CSTB score and perineural invasion were prognosis predictors.

Conclusion

This research revealed the novel scoring system combining postoperative CEA and CA199 had better prognostic value than those two index alone.

1 Introduction

Previous researches indicated that pathological factors had strongest prognostic value for LARC patients, including lymphatic invasion, CRM invasion, perineural invasion, vascular invasion, T staging and lymph node metastasis[1, 2]. Nonetheless, pathological factors were frequently affected by the quality of operation and specimen processing, were highly subjective and were difficult to quantify. EphA4 [3], special proteins[4, 5], and microRNA[6, 7] were novel molecular indicators significantly associated with patient outcomes. Regrettably, measuring these marks was costly and time consuming. Therefore, it is essential to find easily available and valuable prognostic markers to accurately predict the survival of LARC patients undergoing NCRT.

Clinical and laboratory components were significantly related to the clinical outcome of RC by numerous previous research, among which post-operative serum CEA and CA199 value were the strongest predictors [8, 9]. However, the researches on these factors almost always focused on one index, and the results were not consistent. Moreover, CEA and CA199 levels could be interfered with by many factors, which limit their application and credibility in the clinic, and also makes the conclusion of the article inconsistent.

The combined serum tumour biomarker (CSTB) score combined the two strong prognostic factors. We hypothesized that the CSTB score might also have a high prognostic value. Thus, for the first time, we aimed to evaluate the prognostic value of CSTB score in LARC patient who underwent NCRT.

2 Methods

2.1 Study design

This is a retrospective study from our single centre. LARC patients diagnosed from January 1, 2011, to February 28, 2020, were examed. The study was approved by our institution’s medical ethics committee (Approval NO.2020-18). Individual consent for this retrospective analysis was waived, since this was a retrospective study The diagnoses of LARC were confirmed by pre-NCRT MRI, CT, Transrectal ultrasound and pathologically biopsies. The inclusion criteria were: 1) patients were histologically diagnosed as RC; 2) locally advanced stage diagnosed by pre-NCRT MRI, CT and transrectal ultrasound. 3) patients received 5-fu based pre-operative chemoradiotherapy; 4) patients received the biochemistry test after surgery; 5) patients had a normal liver function. The exclusion criteria were: 1) patients with detectable haematology diseases, liver diseases, inflammatory or infectious diseases; 2) recurrent tumours; 3) combined with other tumours; 4) patients with incomplete or unavailable data. The patient screening flow chart was shown as Fig. 1

2.2 The best cut-off value and end-point events

The optimal cut-off value of post-operative CEA and CA199 level for prognosis were determined by the ROC curve. Post-operative CEA > 2.550 and CA199 > 16.36 were associated with poor prognosis

The end-points of this research were overall survival (OS) and disease-free survival (DFS). OS was defined as the time interval from the operation date to the death date caused by any reason or the last follow-up date. DFS was defined as the time interval from the date of operation to recurrence, metastasis or the last follow-up. Follow-up information was obtained from telephone contacts or out-patients clinic records.

2.3 Statistical analysis

Statistical analyses were processed by the IBM SPSS Statistics for Windows, version 22.0 (IBM Corp, USA) [10]. The best cut-off values were achieved by receiver operating characteristics (ROC) curves [11]. Continuous and categorical variables were presented as the median (IQR) and frequencies, respectively. Univariate Cox regression analyses were adopted to detect possible risk factors associated with a poor prognosis for DFS and OS [12], and factors with a P-value < 0.05 were included in multivariate analyses [13]. Kaplan-Meier analysis was applied for survival curve [14], and the log-rank test was applied for survival difference [15].

Two Cox regression models excluding and including the CSTB score were constructed to avoid the effect of post-operative CEA and CA199 level on the CSTB score. P-values < 0.05 were considered statistically significant in all statistical tests and all p values were two-sided.

3 Results

3.1 Basic patient characteristics

According to the inclusion and exclusion criteria, we included a total of 234 LARC patients undergoing NCRT. The primary characteristics of patients were presented in Table 1.

Table 1

Postoperative Characteristics of included patients

Characteristics

N / Median (IQR)

Sex

 

Female

95

Male

139

Age

56.0 (50.0–66.0)

CEA

1.93 (1.19–2.96)

CA199

10.7 (6.7–16.8)

pT stage1

 

T0

49

T1

11

T2

57

T3

106

T4

11

pN stage1

 

N0

169

N1

51

N2

14

pTNM stageA

 

0

46

I

51

II

72

III

65

Vascular invasionA

 

Yes

13

No

221

Lymphatic invasionA

 

Yes

16

No

218

Perineural invasionA

 

Yes

45

No

189

CRMA

 

Positive

9

Negative

225

A: All the above were pathological status. TNM: tumor node metastasis

 

Among these 234 patients, 139 patients were male, the median age of all patients was 56.0 years, with interquateral range (IQR) 50.0–66.0. The median post-operative CEA level was 1.93 (with IQR 1.19–2.96), and the CA199 level was 10.7 (with IQR 6.7–16.8). A total of 46 patients had complete tumour response after NCRT. Sixty-five patients presented pathologic LN metastasis, 13 patients presented pathologic vascular invasion, 16 patients with pathologic lymphatic invasion, 45 patients with pathologic perineural invasion and nine patients with positive CRM.

The median follow-up period was 33 months (range 2–122 months), with eight patients (3.4%) lost to follow up. During this period, 34 patients died, and 50 patients developed tumour recurrence. Among these 50 patients, no patients presented local recurrence. All were distal metastasis.

3.2 The threshold values via ROC curves

The cut-off value of the post-operative CEA for predicting prognosis was 2.550 (sensitivity of 68.1% and specificity of 75.5%, area under the curve = 0.677). The cut-off value of the post-operative CA199 for predicting prognosis was 16.36 (sensitivity of 44.1% and specificity of 75.5%, AUC = 0.630)

3.3 Post-operative prognosis based on the combination of post-operative CEA and CA199

According to K-M curve analysis, patients with higher post-operative CEA or CA199 level were significantly associated with a decreased OS rate and DFS rate (Fig. 2 for CEA and Fig. 3 for CA199). Patients with CSTB score 2 had significantly poorer OS (Fig. 4A, p = 0.002) and DFS (Fig. 4B, p = 0.007) than patients with score 1–2.

3.4 Univariate and multivariate Cox regression analyses for OS predictors

Univariate analyses demonstrated that the post-operative CEA level < 2.550 (P = 0.007), post-operative CA199 level < 16.36 (P = 0.004), CSTB score < 2 (P = 0.002), lower pathological TNM stage (P = 0.029), negative pathologic lymphatic invasion (P = 0.012), and negative pathological perineural invasion (p = 0.007) were potential predict factors for a better OS. Multivariate analyses indicated that post-operative CEA level < 2.550 was not significantly correlated with better OS (hazard ratio (HR) = 0.497, 95% confidence interval (95% CI): 0.247-1.000, P = 0.050). Only post-operative CA199 level < 16.36 (HR = 0.481; 95% CI: 0.235–0.987; p = 0.046) and CSTB score < 2 (HR = 0.636; 95% CI: 0.168–0.787; p = 0.010)were. CSTB score was a more significant predictor for OS. Detailed information is shown in Table 2.

Table 2

Univariate and multivariate analysis for OS predictors

   

Univariate analysis

Multivariate analysis

       

Model 1

Model 2

Characteristics

 

HR (95% CI)

P- value

HR (95% CI)

p- value

HR (95% CI)

p- value

Sex

Male vs female

1.991 (0.929–4.268)

0.077

       

Post-operative CEA

< 2.550 vs > 2.550

0.392 (0.199–0.772)

0.007

0.497 (0.247-1.000)

0.050

   

Post-operative CA199

< 16.36 vs > 16.36

0.373 (0.190–0.732)

0.004

0.481 (0.235–0.987)

0.046

   

CSTB score

0–1 vs 2

0.302 (0.143–0.635)

0.002

   

0.636 (0.168–0.787)

0.010

Pathological TNM stage

(0-I / II-III)

0.396 (0.172–0.909)

0.029

0.541 (0.225–1.301)

0.170

0.548 (0.227–1.324)

0.182

Vascular invasionA

Absent vs Present

0.376 (0.132–1.072)

0.067

       

Lymphatic invasion A

Absent vs Present

0.320 (0.132–0.775)

0.012

0.711 (0.260–1.942)

0.506

0.677 (0.253–1.809)

0.436

Perineural invasion A

Absent vs Present

0.375 (0.185–0.761)

0.007

0.546 (0.247–1.210)

0.136

0.527 (0.241–1.153)

0.109

CRM A

Absent vs Present

0.854 (0.203–3.588)

0.829

       

Model 1: Post-operative CEA and CA199 were included in multivariate analysis, CSTB score was not. Model 2: CSTB score was in multivariate analysis, Post-operative CEA and CA199 were not; CSTB score: Combined serum tumor biomarker score; A: All the above were pathological status. TNM: tumor node metastasis

 

3.5 Univariate and multivariate analysis for DFS predictors

Univariate analyses demonstrated that the post-operative CEA level < 2.550 (P = 0.029), CSTB score < 2 (P = 0.007), lower pathological TNM stage (P = 0.009), negative pathologic vascular invasion (P = 0.003), negative pathologic lymphatic invasion (P = 0.003), and negative pathological perineural invasion (P = 0.007) and perineural invasion (P = 0.001) were potential factors for a better DFS, while post-operative CA199 level < 16.36 was not. Multivariate analyses indicated that only post-operative CSTB score < 2(HR = 0.482; 95% CI: 0.248–0.936; p = 0.031)and negative pathological perineural invasion (HR = 0.457; 95% CI: 0.243–0.857; p = 0.015)were. Detailed data is presented in Table 3.

Table 3

Univariate and multivariate analysis for DFS predictors

   

Univariate analysis

Multivariate analysis

       

Model 1

Model 2

Characteristics

 

HR (95% CI)

P- value

HR (95% CI)

p- value

HR (95% CI)

p- value

Sex

Male vs female

0.597 (0.326–1.095)

0.095

       

Post-operative CEA

< 2.550 vs > 2.550

0.535 (0.306–0.937

0.029

0.573 (0.326–1.007)

0.053

   

Post-operative CA199

< 16.36 vs > 16.36

0.574 (0.323–1.020)

0.059

       

CSTB score

0–1 vs 2

0.410 (0.214–0.788)

0.007

   

0.482 (0.248–0.936)

0.031

Pathological TNM stage

(0-I / II-III)

0.408 (0.209–0.797)

0.009

0.560 (0.276–1.136)

0.108

0.592 (0.289–1.210)

0.151

Vascular invasionA

Absent vs Present

0.302 (0.135–0.672)

0.003

1.014 (0.309–3.335)

0.981

1.004 (0.328–3.072)

0.994

Lymphatic invasion A

Absent vs Present

0.281 (0.136–0.580)

0.001

0.446 (0.159–1.366)

0.164

0.522 (0.189–1.441)

0.210

Perineural invasion A

Absent vs Present

0.339 (0.191–0.601)

0.001

0.486 (0.260–0.911)

0.024

0.457 (0.243–0.857)

0.015

CRM A

Absent vs Present

0.789 (0.237–2.627)

0.789

       

Model 1: Post-operative CEA and CA199 were included in multivariate analysis, CSTB score was not. Model 2: CSTB score was in multivariate analysis, Post-operative CEA and CA199 were not; CSTB score: Combined serum tumor biomarker score; A: All the above were pathological status. TNM: tumor node metastasis

4 Discussion

The prognostic value of the combination of post-operative CEA and CA199 for LARC patients undergoing NCRT was tested in this study. Patients with post-operative CEA < 2.550 had better OS and DFS, while post-operative CA199 < 16.36 only had better OS. The results of multivariate analysis showed that CSTB score was an independent factor associated with OS and was more significant than post-operative CEA level. However, for DFS, only CSTB score and negative pathological perineural invasion were independent predictors; post-operative CEA and CA199 level were not.

Serum carcinoembryonic antigen (CEA) is a glycoprotein anchored on the surface of glycosyl phosphatidylinositol (GPI) cells [16], which is the key to metastasis and dissemination of colon cancer cells [17]. It was usually measured in the pre-treatment examination of RC patients. The value of serum CEA level on prognosis has been widely discussed in related literature [18, 19] [17, 20]: Patients with elevated CEA levels before or after NCRT have poor tumour response and increased risk of recurrence [20, 21]. Researches also stated that the reduction ratio of pre- to post-CRT serum CEA levels might be a prognostic factor for DFS in RC patients with a pre-NCRT CEA of more than six ng/ml [22]. However, it was rarely reported prognostic value for post-operative CEA level in LARC patients. Our study revealed that lower post-operative CEA level associated with better prognosis, which was in consistence with many previous studies.

CA19-9 is an antigen expressed by the glycosylated extracellular MUC1 protein and plays an essential role in cancer invasion by indirectly enhancing cell adhesion and promoting angiogenesis [23]. Many studies showed that CA199 could be a prognosis predictor for RC patients [2426]. Unfortunately, CA19-9 can be raised by several types of gastrointestinal cancer, such as esophageal cancer, colorectal cancer, and hepatocellular carcinoma [2729]. Apart from cancer, elevated levels could be present in benign diseases, including pancreatitis, cirrhosis, and diseases of the bile ducts [30, 31]. Therefore, it failed to be widely used in the clinic to forecast the prognosis for RC patients, especially in LARC patients who underwent NCRT.

Instead of the single serum tumour biomarker, CSTB was a score that combined these two. We assumed that the CSTB score could predict prognosis in RC patients mainly for the following two reasons. First, the CSTB score was a combination of two significant serum tumour biomarker predictive factors with a physiological mechanism. Second, the application of the ROC curve, not just whether the tumour index exceeds the standard value, contributed to finding the best cut-off value of prognosis prediction. Therefore, we believed the CSTB score was capable of evaluating outcomes of LARC patients.

The prognostic value of CEA and CA199 were inspected by a few studies. Yang et al. manifested a significant connection between pre-operative CEA level and RC patients’ prognosis .In the study of Yang et al., low pre-operative CEA level was proved to be a valuable predictor in RC [32]. Zhang et al. reported that the elevated CA199 was an independent risk factor of worse prognosis in LARC patients [33]. However, none of them focused on combining post-operative CEA and CA199 level and specific on LARC patients undergoing NCRT. Consequently, we designed the present research to investigate the correlation between the CSTB score and prognosis in LARC patients undergoing NCRT, and the results suggested that the CSTB score < 2 was associated with significantly better OS and DFS.

Our study's most important clinical significance was as follows: Firstly, we focused on post-operative CEA and CA199 level instead of pre-treatment since post-operative indicators have a more robust predictive effect on prognosis. Moreover, we focused specifically on LARC patients undergoing NCRT, a research hot spot. Finally, we combined these two scores and adopted the ROC curve to determine the optimal cut-off point. CSTB score may not only assess the risk of LARC patients but also contributed to making treatment decisions. In detail, compared with LARC patients with low CSTB score, patients with high CSTB scores were indicated to be treated more aggressively, and post-operative adjuvant therapy may be more beneficial and adjustable to patients in the same circumstances.

The research had significant drawbacks. First, this was a retrospective study. Second, we determined 2.550 as the optimal cut-off value of post-operative CEA and 16.36 for CA199. The cut-off values may not be the most suitable. However, the ideas and methods in this research can be widely used the ideas and methods in this research can be widely used. Even the optimal cut-off may vary among different people, irrespective of the specific cut-off point, this study could still show the prognosis of patients with higher CEA CA199 level was poor.

5 Conclusion

In conclusion, our study first reported the correlation between the CSTB (combination of post-operative CEA and CA199 level) score and prognosis of LARC patients undergoing NCRT. CSTB score was significantly associated with OS and DFS and had better value for predicting prognosis than those two.

Abbreviations

LARC, locally advanced rectal cancer; NCRT, neoadjuvant chemoradiotherapy; CSTB, Combined serum tumor biomarkers; OS, overall survival; DFS, disease-free survival; ROC, receiver operating characteristic;

Declarations

Data Availability Statement

Inquiries can be directed to the corresponding author [email protected]

Conflicts of interests

All authors have no conflicts of interest to declare.

Fundings

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author Contributions

Runzhuo Sun: Data curation, Formal analysis, Writing- Original draft preparation. Yimiao Zeng: Conceptualization, Methodology, Writing- Original draft preparation. Yuanyuan Fan: Visualization. Dan Lin: Investigation. Siyu Du: Software, Validation. Xiaoyu Wang: Supervision, Writing- Reviewing and Editing.

All authors reviewed the manuscript.

Reporting Checklist

The authors have completed the STROBE reporting checklist

Ethical statement

The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by our institution’s medical ethics committee (Approval NO.2020-18),and individual consent for this retrospective analysis was waived, since this was a retrospective study.

References

  1. do Canto LM, Barros-Filho MC, Rainho CA, Marinho D, Kupper BEC, Begnami MDFdS, et al. Comprehensive Analysis of DNA Methylation and Prediction of Response to NeoadjuvantTherapy in Locally Advanced Rectal Cancer. Cancers. 2020;12(11). doi:10.3390/cancers12113079.
  2. Yan X, Chen J, Meng Y, He C, Zou S, Li P, et al. RAD18 may function as a predictor of response to preoperative concurrent chemoradiotherapy in patients with locally advanced rectal cancer through caspase-9‐caspase‐3‐dependent apoptotic pathway. Cancer Med. 2019;8(6):3094–104. doi:10.1002/cam4.2203.
  3. Lin CY, Lee YE, Tian YF, Sun DP, Sheu MJ, Lin CY, et al. High Expression of EphA4 Predicted Lesser Degree of Tumor Regression after Neoadjuvant Chemoradiotherapy in Rectal Cancer. J Cancer. 2017;8(6):1089–96. doi:10.7150/jca.17471.
  4. Chen H-M, Lin C-C, Chen W-S, Jiang J-K, Yang S-H, Chang S-C, et al. Insulin-Like Growth Factor 2 mRNA-Binding Protein 1 (IGF2BP1) Is a Prognostic Biomarker and Associated with Chemotherapy Responsiveness in Colorectal Cancer. Int J Mol Sci. 2021;22(13). doi:10.3390/ijms22136940.
  5. Rödel F, Hoffmann J, Distel L, Herrmann M, Noisternig T, Papadopoulos T, et al. Survivin as a radioresistance factor, and prognostic and therapeutic target for radiotherapy in rectal cancer. Cancer Res. 2005;65(11):4881–7. doi:10.1158/0008-5472.Can-04-3028.
  6. Hiyoshi Y, Akiyoshi T, Inoue R, Murofushi K, Yamamoto N, Fukunaga Y, et al. Serum miR-143 levels predict the pathological response to neoadjuvant chemoradiotherapy in patients with locally advanced rectal cancer. Oncotarget. 2017;8(45):79201–11. doi:10.18632/oncotarget.16760.
  7. Rubio J, Cristóbal I, Santos A, Caramés C, Luque M, Sanz-Alvarez M, et al. Low MicroRNA-19b Expression Shows a Promising Clinical Impact in Locally Advanced Rectal Cancer. Cancers. 2021;13(6). doi:10.3390/cancers13061456.
  8. Lu Y, Huang Y, Huang L, Xu Y, Wang Z, Li H, et al. CD16 expression on neutrophils predicts treatment efficacy of capecitabine in colorectal cancer patients. BMC Immunol. 2020;21(1). doi:10.1186/s12865-020-00375-8.
  9. Jiang Y, Zhang Q, Hu Y, Li T, Yu J, Zhao L, et al. ImmunoScore Signature Annals of Surgery. 2018;267(3):504–13. doi:10.1097/sla.0000000000002116.
  10. Wang H, Shen L, Sun X, Liu F, Feng W, Jiang C, et al. Adipose group 1 innate lymphoid cells promote adipose tissue fibrosis and diabetes in obesity. Nat Commun. 2019;10(1). doi:10.1038/s41467-019-11270-1.
  11. Zhang F-X, Li Z-L, Zhang Z-D, Ma X-C. Prognostic value of red blood cell distribution width for severe acute pancreatitis. World J Gastroenterol. 2019;25(32):4739–48. doi:10.3748/wjg.v25.i32.4739.
  12. Noureen N, Wu S, Lv Y, Yang J, Alfred Yung WK, Gelfond J, et al. Integrated analysis of telomerase enzymatic activity unravels an association with cancer stemness and proliferation. Nat Commun. 2021;12(1). doi:10.1038/s41467-020-20474-9.
  13. Nowakowski GS, Hoyer JD, Shanafelt TD, Zent CS, Call TG, Bone ND, et al. Percentage of Smudge Cells on Routine Blood Smear Predicts Survival in Chronic Lymphocytic Leukemia. J Clin Oncol. 2009;27(11):1844–9. doi:10.1200/jco.2008.17.0795.
  14. Falet H, Pollitt AY, Begonja AJ, Weber SE, Duerschmied D, Wagner DD, et al. A novel interaction between FlnA and Syk regulates platelet ITAM-mediated receptor signaling and function. J Exp Med. 2010;207(9):1967–79. doi:10.1084/jem.20100222.
  15. Renz BW, Takahashi R, Tanaka T, Macchini M, Hayakawa Y, Dantes Z, et al. β2 Adrenergic-Neurotrophin Feedforward Loop Promotes Pancreatic Cancer. Cancer Cell. 2018;33(1):75–90.e7. doi:10.1016/j.ccell.2017.11.007.
  16. Lumachi F, Chiara G, Tozzoli R, Lo Re G, Basso S. P-035 Simultaneous carcinoembryonic antigen (CEA), carcinoma antigen 19 – 9 (CA 19 – 9) and 125 (CA-125) measurement in patients with gastric cancer (stage IA-IB): a case-control study. Ann Oncol. 2016;27. doi:10.1093/annonc/mdw199.33.
  17. Huang S-C, Lin J-K, Lin T-C, Chen W-S, Yang S-H, Wang H-S, et al. Concordance of Carcinoembryonic Antigen Ratio and Response Evaluation Criteria in Solid Tumors as Prognostic Surrogate Indicators of Metastatic Colorectal Cancer Patients Treated with Chemotherapy. Ann Surg Oncol. 2015;22(7):2262–8. doi:10.1245/s10434-014-4228-y.
  18. Liu Q, Huang Y, Luo D, Zhang S, Cai S, Li Q, et al. Evaluating the Guiding Role of Elevated Pretreatment Serum Carcinoembryonic Antigen Levels for Adjuvant Chemotherapy in Stage IIA Colon Cancer: A Large Population-Based and Propensity Score-Matched Study. Front Oncol. 2019;9. doi:10.3389/fonc.2019.00037.
  19. Luo X-L, Xie D-X, Wu J-X, Wu A-D, Ge Z-Q, Li H-J, et al. Detection of metastatic cancer cells in mesentery of colorectal cancer patients. World J Gastroenterol. 2017;23(34). doi:10.3748/wjg.v23.i34.6315.
  20. Cai Z, Huang L, Chen Y, Xie X, Zou Y, Lan P, et al. CEA Decline Predicts Tumor Regression and Prognosis in Locally Advanced Rectal Cancer Patients with Elevated Baseline CEA. J Cancer. 2020;11(22):6565–70. doi:10.7150/jca.49252.
  21. Kan J-Y, Lee Y-C, Lin Y-D, Ho W-Y, Moi S-H. Effect of Baseline Characteristics and Tumor Burden on Vaspin Expression and Progressive Disease in Operable Colorectal Cancer. Diagnostics. 2020;10(10). doi:10.3390/diagnostics10100801.
  22. Huang CS, Lin JK, Wang LW, Liang WY, Lin CC, Lan YT, et al. Assessment of the value of carcinoembryonic antigen reduction ratio as a prognosis factor in rectal cancer. Am J Surg. 2014;208(1):99–105. doi:10.1016/j.amjsurg.2013.08.054.
  23. Wang Y-N, Lee H-H, Chou C-K, Yang W-H, Wei Y, Chen C-T, et al. Angiogenin/Ribonuclease 5 Is an EGFR Ligand and a Serum Biomarker for Erlotinib Sensitivity in Pancreatic Cancer. Cancer Cell. 2018;33(4):752 – 69.e8. doi:10.1016/j.ccell.2018.02.012.
  24. Tong Y, Zhao Y, Shan Z, Zhang J. CA724 predicts overall survival in locally advanced gastric cancer patients with neoadjuvant chemotherapy. BMC Cancer. 2021;21(1). doi:10.1186/s12885-020-07666-8.
  25. Fan S, Li T, Zhou P, Peng Q, Zhu Y. Development and validation of nomogram combining serum biomarker for predicting survival in patients with resected rectal cancer. Biosci Rep. 2019;39(11). doi:10.1042/bsr20192636.
  26. Chen Y, Gao S-G, Chen J-M, Wang G-P, Wang Z-F, Zhou B, et al. Serum CA242, CA199, CA125, CEA, and TSGF are Biomarkers for the Efficacy and Prognosis of Cryoablation in Pancreatic Cancer Patients. Cell Biochem Biophys. 2014;71(3):1287–91. doi:10.1007/s12013-014-0345-2.
  27. Xu W-Y, Zhang H-H, Yang X-B, Bai Y, Lin J-Z, Long J-Y, et al. Prognostic significance of combined preoperative fibrinogen and CA199 in gallbladder cancer patients. World J Gastroenterol. 2018;24(13):1451–63. doi:10.3748/wjg.v24.i13.1451.
  28. Song X, Zhu H, Pei Q, Tan F, Li C, Zhou Z, et al. Significance of inflammation-based indices in the prognosis of patients with non-metastatic colorectal cancer. Oncotarget. 2017;8(28):45178–89. doi:10.18632/oncotarget.16774.
  29. Zheng B-H, Yang L-X, Sun Q-M, Fan H-K, Duan M, Shi J-Y, et al. A New Preoperative Prognostic System Combining CRP and CA199 For Patients with Intrahepatic Cholangiocarcinoma. Clin Translational Gastroenterol. 2017;8(10). doi:10.1038/ctg.2017.45.
  30. Zeng P, Li H, Chen Y, Pei H, Zhang L. Serum CA199 levels are significantly increased in patients suffering from liver, lung, and other diseases. Prog Mol Biol Transl Sci. 2019;162:253–64. doi:10.1016/bs.pmbts.2018.12.010.
  31. Zhang D, Hou W, Liu F, Yin J, Lu W, Li M, et al. Metformin Reduces Serum CA199 Levels in Type 2 Diabetes Chinese Patients with Time–Effect and Gender Difference. Diabetes Technol Ther. 2015;17(2):72–9. doi:10.1089/dia.2014.0176.
  32. Yang KL, Yang SH, Liang WY, Kuo YJ, Lin JK, Lin TC, et al. Carcinoembryonic antigen (CEA) level, CEA ratio, and treatment outcome of rectal cancer patients receiving pre-operative chemoradiation and surgery. Radiat Oncol. 2013;8:43. doi:10.1186/1748-717x-8-43.
  33. Zhang L-N, OuYang P-Y, Xiao W-W, Yu X, You K-Y, Zeng Z-F, et al. Elevated CA19-9 as the Most Significant Prognostic Factor in Locally Advanced Rectal Cancer Following Neoadjuvant Chemoradiotherapy. Medicine. 2015;94(45). doi:10.1097/md.0000000000001793.