Prognostic Value of Pretreatment Serum Transthyretin Level in Patients with Gastrointestinal Cancers

Luo, Hongliang; Huang, Jun; Zhu, Zhengming; Zhu, Peiqian

doi:https://doi.org/10.1155/2019/7142065

Disease Markers

On this page

Abstract Introduction Methods Results Discussion Conflicts of Interest Supplementary Materials References Copyright Related Articles

Review Article | Open Access

Volume 2019 | Article ID 7142065 | https://doi.org/10.1155/2019/7142065

Prognostic Value of Pretreatment Serum Transthyretin Level in Patients with Gastrointestinal Cancers

Hongliang Luo,¹Jun Huang,¹Zhengming Zhu,¹and Peiqian Zhu¹

Academic Editor: Nelson Yee

Received19 Mar 2019

Accepted18 Apr 2019

Published03 Jun 2019

Abstract

Background. Many studies have shown the link between the pretreatment serum transthyretin and prognosis in gastrointestinal (GI) cancers. However, based on the conclusion, the initial findings were inconsistent. Hence, this meta-analysis was performed to identify the prognostic values of the pretreatment serum transthyretin in GI cancers. Methods. Previous studies published before November 2018 were collected from a comprehensive literature search of several databases. The pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were applied in the assessment of the intensity of associations. Also, the publication bias and the robustness of merged data were assessed. All statistical analyses were undertaken using STATA/SE 14.1. Results. The combined data indicated that the pretreatment serum transthyretin level was related to the prognosis in GI cancers. The group with reduced pretreatment transthyretin had a significantly worse overall survival (OS) (, 95% CI: 1.37-2.05). The subgroup analysis for OS further showed the predictive value of transthyretin. In addition, the low serum transthyretin level could be an unfavorable factor for recurrence-free survival (RFS) or progression-free survival (PFS) (, 95% CI: 1.14-2.18) in GI cancers. Conclusion. The low pretreatment serum transthyretin level implies an unfavorable prognosis for patients with GI cancers. The monitoring of pretreatment transthyretin level could contribute to the risk stratification and individualized therapy in GI cancers.

1. Introduction

Transthyretin, also known as prealbumin, is mainly synthesized by the hepatocyte and less likely caused by hepatic disease compared to other serum proteins [1, 2]. Transthyretin has a relatively short half-life with a high percentage of essential amino acids [3]. Serum transthyretin has been found related to several cases of malnutrition. It is the earliest laboratory indicator that is used to evaluate nutritional status [4, 5]. In addition, transthyretin is correlated with clinical outcomes in various diseases [6–8]. Recently, several studies reported that transthyretin might be a useful prognostic tumor marker [9, 10]. A high level of serum albumin is found with shorter survival rates in glioblastoma patients [9]. The pretreatment transthyretin level is seen to be an independent prognostic indicator among patients with metastatic renal cell carcinoma [10]. However, the prognostic significance of pretreatment transthyretin in patients with digestive cancer is inconsistent [11–14]. Some studies suggested that pretreatment transthyretin is significantly linked to the prognosis of patients with gastrointestinal (GI) cancers, but some have failed to get similar results. For example, serum transthyretin is found to be a significant independent factor for overall survival (OS) in the intrahepatic cholangiocarcinoma and hepatocellular carcinoma [11, 12]. However, no significant connection is established between the transthyretin level and OS among patients with gastric cancer [14]. Thus, to clarify the predictive value of this potential digestive cancer biomarker, a systematic review and meta-analysis are conducted to evaluate the relationships between transthyretin and prognosis in the digestive cancers.

2. Material and Methods

2.1. Search Strategy

A systematic literature search of PubMed, Embase, and Web of Science (up to November 1, 2018) was carried out by combining all related terms such as “transthyretin or transthyretin” and “tumor or cancer or carcinoma” and “survival or prognosis or outcome.” The articles published in the English language were selected, and we also manually searched for the relevant studies in the references of eligible publications.

2.2. Inclusion and Exclusion Criteria

The inclusion criteria included the following: (1) All patients were pathologically shown as primary GI cancers. (2) The correlation between pretreatment serum transthyretin and OS or recurrence-free survival (RFS) or progression-free survival (PFS) was analyzed. (3) Other related cases were classified into low and high transthyretin level groups. (4) The cut-off value for the high transthyretin level was provided.

The exclusion criteria were the following: (1) studies that focused on the relationship between transthyretin and cancers from the nondigestive system; (2) no available usable data of the hazard ratios (HRs) and 95% confidence intervals (CIs); (3) authors’ usage of abstracts, reviews, letters, editorials, and case reports; (4) related overlapping or duplicate studies.

2.3. Data Extraction

Data separately extracted by two authors from each study included the following: the full name of the first author, the publication year, country, and type of study, along with time, total number of recruited cases, age distribution, number of males, clinical stages, cut-off selection, cut-off value, treatment methods, follow-up time, and the outcomes of OS and RFS/PFS. HRs and 95% CIs were directly selected from the multivariate or univariate analysis. The indicated worse OS or RFS/PFS for the patients with low serum transthyretin. A quality assessment method was used from a study by Lin et al. [15] in the meta-analysis. This scale had a total of nine items on the methodology with a final score ranging from 0 (lowest) to 9 (highest).

2.4. Statistical Analysis

All data analyses were held using the STATA/SE 14.1. Synthesized HRs and 95% CIs were used to assess the relation of pretreatment serum transthyretin with OS and RFS/PFS. In addition, the prognostic values of serum transthyretin in GI cancers were further assessed by conducting subgroup evaluation. Chi-square-based and tests were used to evaluate the heterogeneity among related studies. The heterogeneity was considered significant if or , then the random effects model was employed. Otherwise, the fixed effects model was selected. To test the stability of the combined results, sensitivity analysis was conducted by evaluating each study carefully. Potential publication bias was assessed using Begg’s plots and tests.

3. Results

3.1. Study Selection and Characteristics

Literature retrieval strategies are seen in Figure 1. Finally, a total of 11 full-text articles in English were included [11–14, 16–22]. They all reported the connection between pretreatment transthyretin and survival outcomes in digestive cancers. The enrolled studies were carried out in China (), Japan (), and Romania (). The median population size was 110 (range: 25-1483). Five types of digestive cancers were analyzed, including adenocarcinoma of the esophagogastric junction (AEG), gastric cancer (GC), colorectal cancer (CRC), intrahepatic cholangiocarcinoma (ICC), and hepatocellular carcinoma (HCC). All cohort studies identified the relevance between pretreatment serum transthyretin and OS. Three studies focused on RFS. One study explored the relationship between the transthyretin level and PFS. The cut-off values for a high level of transthyretin varied from 114 mg/L to 400 mg/L while the cut-off values were mainly determined by the receiver operating characteristic (ROC) curves. The results of the quality assessment are shown in Figure 2 with a median score of 7 (ranges from 5 to 9, Table S1). The summary characteristics of eligible studies are detailed in Table 1.

4. Results of the Meta-Analysis

4.1. Transthyretin and OS

A total of 11 eligible studies were evaluated to identify the relationship between pretreatment serum transthyretin and OS of digestive cancers using HR data. In Figure 3, compared with patients in the high transthyretin group, the cases with a low transthyretin level had a worse OS, with a combined HR of 1.71 (95% CI: 1.37–2.05) in the random effects model (; ). Also, an essential prognostic significance of transthyretin was highlighted in ICC (, 95% CI: 1.02–2.51) in the random effects model (; ), AEG (, 95% CI: 1.60–2.91) in the fixed effects model (; ), and HCC (, 95% CI: 1.25–1.71) in the fixed effects model (; ), but not in GC (, 95% CI: 0.89–1.31) in the fixed effects model (; ).

4.2. Subgroup Analysis of OS

The significance of pretreatment serum transthyretin was further evaluated using subgroup analysis based on the disease type, treatment, cut-off value, clinical stage, follow-up, and analysis type (Table 2). A vital correlation was shown between the low transthyretin level and shorter OS for GI tract cancers (, 95% CI: 1.11-2.73) and non-GI tract cancers (, 95% CI: 1.29-1.96). Obviously, a decreased transthyretin was related to worse OS both in nonmetastatic patients and in mixed cases, with a combined HR estimate of 1.45 (95% CI: 1.22-1.68) and 1.97 (95% CI: 1.54-2.39), respectively. Furthermore, the low transthyretin level was notably associated with inferior OS in the subgroup with long-term follow-ups (≥5 years) (, 95% CI: 1.46-2.49) and the patients treated with surgery (, 95% CI: 1.45-2.12). Other subgroups stratified by cut-off value and analysis type also showed significant correlations between the pretreatment transthyretin level and OS in digestive cancers.

4.3. Transthyretin and RFS/PFS

Four cohort studies identified the HRs for the connection between the transthyretin level and RFS/PFS in the digestive cancers. In Figure 4, the patients with the low serum transthyretin level had a worse RFS/PFS compared to patients in the high serum transthyretin group (, 95% CI: 1.14-2.18). The pretreatment decreased serum transthyretin, indicating a poor factor of RFS/PFS among patients with digestive cancers.

4.4. Publication Bias

Begg’s funnel plots are shown in Figure 5 while the values in Begg’s tests were higher than 0.05, indicating no significant publication bias was found among the studies.

(a)

(b)

4.5. Sensitivity Analysis

Sensitivity analysis was seen to have no clear variation in the overall HRs. The results were reliable and robust (Figure 6).

(a)

(b)

5. Discussion

Recently, many gastrointestinal tumor biomarkers are reported. However, some of them are confined to the tumor tissues [23–26]. Because the acquisition of the tumor tissue is invasive and quite hard to identify, this limits the application of these markers in the clinical practice. GI cancers, one of the most common and malignant tumors, often lead to poor prognosis [27–29]. The noninvasive, easily accessible factors are more conducive to risk stratification and prognosis assessment, which are useful for implementing an individualized treatment. Transthyretin is a protein that can be easily identified in the blood, inexpensive, and noninvasive. Also, it has attracted much attention for its stability and sensitivity [3, 30, 31]. At the same time, transthyretin is considered a good marker in assessing the patients’ nutritional status. It has a much shorter half-life (2–3 days) and can be unaffected by hydration status [32–34]. However, some studies are against the use of transthyretin levels as nutrition markers and patients’ outcomes [35–37]. For some treatments and pathological states, such as corticosteroid therapy, renal dysfunction, infection, physiological stress, and liver dysfunction, they can increase or decrease transthyretin levels [32]. Recently, more clinical studies also showed that serum transthyretin is related to patient prognosis in GI cancer and might serve as a promising novel prognosticator [20–22].

To the best of our knowledge, this meta-analysis for the first time systematically clarified the prognostic value of pretreatment serum transthyretin in patients with digestive cancer. In this paper, a pooled HR of 1.71 was taken with the corresponding 95% CI (1.37–2.05) for OS when all the currently available data were combined. The results indicated that low transthyretin was associated with a poor OS for digestive cancer. The predictive role of serum transthyretin was also seen in the specific types of digestive cancer, including ICC, AEG, and HCC. Furthermore, the subgroup analyses for OS were carried out. It was found that decreased transthyretin was an unfavorable indicator for both GI tract cancer and non-GI tract cancer. Also, it showed that a low transthyretin level was connected with shorter OS among the patients after surgery or several cases in the nonmetastatic stage or all stages. Meanwhile, the low transthyretin level might have bad effects on the long-term survival of digestive cancer patients. Similar results were also seen in the other two subgroup analyses through the cut-off value and analysis type. Additionally, decreased transthyretin was significantly correlated with inferior RFS/PFS in the digestive cancers (, 95% CI: 1.14-2.18). Therefore, the pretreatment serum transthyretin might act as a useful prognostic marker that can be used to estimate the survival outcomes of the digestive cancers.

However, the results based on the analysis should be interpreted cautiously since there were several existing limitations. First, there was significant heterogeneity among the related studies. Although the random effects model was used with the pooled data, heterogeneity could be explained by the differences in the clinical pathological factors, such as age, tumor type, and disease stage. Second, several HRs and 95% CI were available in the univariate analysis but not in the multivariate analysis. Third, this meta-analysis only included published English studies. Fourth, the number of selected studies and enrolled cases was relatively limited while more studies with different populations are needed in the future. Finally, there was no consensus regarding the definition of the cut-off value for decreased serum transthyretin in the selected studies. A definitive cut-off value is highly recommended.

In summary, the study provided strong evidence that decreased pretreatment transthyretin was significantly related to poor clinical outcomes among patients with digestive cancers. Transthyretin could be used in clinical practice as a widely accepted, stable, and inexpensive nutritional indicator to evaluate the prognosis of digestive cancers. However, considering the limitations cited above, more well-designed and multicenter clinical studies should be conducted to further validate the predictive value of transthyretin in digestive cancer.

Conflicts of Interest

The authors report no conflicts of interest in this work.

Supplementary Materials

Table S1: quality assessment of 11 studies included in the meta-analysis. (Supplementary Materials)

References

M. L. Kuszajewski and A. S. Clontz, “Prealbumin is best for nutritional monitoring,” Nursing, vol. 35, no. 5, pp. 70-71, 2005.
View at: Publisher Site | Google Scholar
L. Bernstein and W. Pleban, “Prealbumin in nutrition evaluation,” Nutrition, vol. 12, no. 4, pp. 255–259, 1996.
View at: Publisher Site | Google Scholar
A. M. Spiekerman, “Nutritional assessment (protein nutriture),” Analytical Chemistry, vol. 67, no. 12, pp. 429–436, 1995.
View at: Publisher Site | Google Scholar
G. Devoto, F. Gallo, C. Marchello et al., “Prealbumin serum concentrations as a useful tool in the assessment of malnutrition in hospitalized patients,” Clinical Chemistry, vol. 52, no. 12, pp. 2281–2285, 2006.
View at: Publisher Site | Google Scholar
R. Caccialanza, G. Palladini, C. Klersy et al., “Nutritional status of outpatients with systemic immunoglobulin light-chain amyloidosis 1,” The American Journal of Clinical Nutrition, vol. 83, no. 2, pp. 350–354, 2006.
View at: Publisher Site | Google Scholar
A. Devakonda, L. George, S. Raoof, A. Esan, A. Saleh, and L. H. Bernstein, “Transthyretin as a marker to predict outcome in critically ill patients,” Clinical Biochemistry, vol. 41, no. 14-15, pp. 1126–1130, 2008.
View at: Publisher Site | Google Scholar
M. Rambod, C. P. Kovesdy, R. Bross, J. D. Kopple, and K. Kalantar-Zadeh, “Association of serum prealbumin and its changes over time with clinical outcomes and survival in patients receiving hemodialysis,” The American Journal of Clinical Nutrition, vol. 88, no. 6, pp. 1485–1494, 2008.
View at: Publisher Site | Google Scholar
M. Alifano, A. Mansuet-Lupo, F. Lococo et al., “Systemic inflammation, nutritional status and tumor immune microenvironment determine outcome of resected non-small cell lung cancer,” PLoS One, vol. 9, no. 9, article e106914, 2014.
View at: Publisher Site | Google Scholar
S. Han, Y. Huang, Z. Li, H. Hou, and A. Wu, “The prognostic role of preoperative serum albumin levels in glioblastoma patients,” BMC Cancer, vol. 15, no. 1, p. 108, 2015.
View at: Publisher Site | Google Scholar
W. Cai, W. Kong, B. Dong et al., “Pretreatment serum prealbumin as an independent prognostic indicator in patients with metastatic renal cell carcinoma using tyrosine kinase inhibitors as first-line target therapy,” Clinical Genitourinary Cancer, vol. 15, no. 3, pp. e437–e446, 2017.
View at: Publisher Site | Google Scholar
H. Zhou, X. Jiang, Q. Li et al., “A simple and effective prognostic staging system based on clinicopathologic features of intrahepatic cholangiocarcinoma,” American Journal of Cancer Research, vol. 5, no. 5, pp. 1831–1843, 2015.
View at: Google Scholar
T. Mizuguchi, M. Nagayama, M. Meguro et al., “Prognostic impact of surgical complications and preoperative serum hepatocyte growth factor in hepatocellular carcinoma patients after initial hepatectomy,” Journal of Gastrointestinal Surgery, vol. 13, no. 2, pp. 325–333, 2009.
View at: Publisher Site | Google Scholar
W. X. Han, Z. M. Chen, Z. J. Wei, and A. M. Xu, “Preoperative pre-albumin predicts prognosis of patients after gastrectomy for adenocarcinoma of esophagogastric junction,” World Journal of Surgical Oncology, vol. 14, no. 1, p. 279, 2016.
View at: Publisher Site | Google Scholar
K. Gonda, M. Shibata, Y. Sato et al., “Elevated neutrophil-to-lymphocyte ratio is associated with nutritional impairment, immune suppression, resistance to S-1 plus cisplatin, and poor prognosis in patients with stage IV gastric cancer,” Molecular and Clinical Oncology, vol. 7, no. 6, pp. 1073–1078, 2017.
View at: Publisher Site | Google Scholar
Y. Lin, Z. Liu, Y. Qiu et al., “Clinical significance of plasma D-dimer and fibrinogen in digestive cancer: a systematic review and meta-analysis,” European Journal of Surgical Oncology, vol. 44, no. 10, pp. 1494–1503, 2018.
View at: Publisher Site | Google Scholar
G. Chereches, O. Barbos, R. Buiga et al., “Biomarkers for the early detection of relapses in metastatic colorectal cancers,” Journal of BUON, vol. 22, no. 3, pp. 658–666, 2017.
View at: Google Scholar
L. Zhang, Y. Su, Z. Chen, Z. Wei, W. Han, and A. Xu, “The prognostic value of preoperative inflammation-based prognostic scores and nutritional status for overall survival in resected patients with nonmetastatic Siewert type II/III adenocarcinoma of esophagogastric junction,” Medicine, vol. 96, no. 30, article e7647, 2017.
View at: Publisher Site | Google Scholar
X. T. Huang, C. S. Huang, J. H. Li, J. P. Cai, W. Chen, and X. Y. Yin, “Prognostic significance of neutrophil/prealbumin ratio for intrahepatic cholangiocarcinoma undergoing curative resection,” HPB, vol. 20, no. 12, pp. 1215–1222, 2018.
View at: Publisher Site | Google Scholar
J. D. Li, X. F. Xu, J. Han et al., “Preoperative prealbumin level as an independent predictor of long-term prognosis after liver resection for hepatocellular carcinoma: a multi-institutional study,” HPB, vol. 21, no. 2, pp. 157–166, 2019.
View at: Publisher Site | Google Scholar
T. Shimura, M. Shibata, K. Gonda et al., “Serum transthyretin level is associated with prognosis of patients with gastric cancer,” Journal of Surgical Research, vol. 227, pp. 145–150, 2018.
View at: Publisher Site | Google Scholar
T. Shimura, M. Shibata, Y. Kofunato et al., “Clinical significance of serum transthyretin level in patients with hepatocellular carcinoma,” ANZ Journal of Surgery, vol. 88, no. 12, pp. 1328–1332, 2018.
View at: Publisher Site | Google Scholar
L. Zhang, Q. G. Chen, S. Q. Li et al., “Preoperative fibrinogen to prealbumin ratio as a novel predictor for clinical outcome of hepatocellular carcinoma,” Future Oncology, vol. 15, no. 1, pp. 13–22, 2019.
View at: Publisher Site | Google Scholar
F.-T. Liu, H.-M. Chen, Y. Xiong, and Z.-M. Zhu, “Deregulated HOXB7 expression predicts poor prognosis of patients with malignancies of digestive system,” Minerva Chirurgica, 2017.
View at: Publisher Site | Google Scholar
F. T. Liu, Q. Dong, H. Gao, and Z. M. Zhu, “The prognostic significance of UCA1 for predicting clinical outcome in patients with digestive system malignancies,” Oncotarget, vol. 8, no. 25, pp. 40620–40632, 2017.
View at: Publisher Site | Google Scholar
F. T. Liu, C. Qiu, H. L. Luo et al., “The association of HOTAIR expression with clinicopathological features and prognosis in gastric cancer patients,” Panminerva Medica, vol. 58, no. 2, pp. 167–174, 2016.
View at: Google Scholar
Y. Yao, Z. Liu, H. Guo et al., “Elevated TRIM23 expression predicts poor prognosis in Chinese gastric cancer,” Pathology - Research and Practice, vol. 214, no. 12, pp. 2062–2068, 2018.
View at: Publisher Site | Google Scholar
A. Jemal, R. Siegel, J. Xu, and E. Ward, “Cancer statistics, 2010,” CA: A Cancer Journal for Clinicians, vol. 60, no. 5, pp. 277–300, 2010.
View at: Publisher Site | Google Scholar
F. Mohammed, “Esophageal cancer,” The New England Journal of Medicine, vol. 350, pp. 1363-1364, 2004.
View at: Google Scholar
L. Ng, R. T. P. Poon, and R. Pang, “Biomarkers for predicting future metastasis of human gastrointestinal tumors,” Cellular and Molecular Life Sciences, vol. 70, no. 19, pp. 3631–3656, 2013.
View at: Publisher Site | Google Scholar
N. Collins, “The difference between albumin and prealbumin,” Advances in Skin & Wound Care, vol. 14, no. 5, pp. 235-236, 2001.
View at: Publisher Site | Google Scholar
F. K. Beck and T. C. Rosenthal, “Prealbumin: a marker for nutritional evaluation,” American Family Physician, vol. 65, no. 8, pp. 1575–1578, 2002.
View at: Google Scholar
S. Bharadwaj, S. Ginoya, P. Tandon et al., “Malnutrition: laboratory markers vs nutritional assessment,” Gastroenterology Report, vol. 4, no. 4, pp. 272–280, 2016.
View at: Publisher Site | Google Scholar
S. Nataloni, P. Gentili, B. Marini et al., “Nutritional assessment in head injured patients through the study of rapid turnover visceral proteins,” Clinical Nutrition, vol. 18, no. 4, pp. 247–251, 1999.
View at: Publisher Site | Google Scholar
B. L. Erstad, D. J. Campbell, C. J. Rollins, and W. D. Rappaport, “Albumin and prealbumin concentrations in patients receiving postoperative parenteral nutrition,” Pharmacotherapy, vol. 14, no. 4, pp. 458–462, 1994.
View at: Google Scholar
G. Sergi, A. Coin, G. Enzi et al., “Role of visceral proteins in detecting malnutrition in the elderly,” European Journal of Clinical Nutrition, vol. 60, no. 2, pp. 203–209, 2006.
View at: Publisher Site | Google Scholar
J. López-Hellin, J. A. Baena-Fustegueras, S. Schwartz-Riera, and E. García-Arumí, “Usefulness of short-lived proteins as nutritional indicators surgical patients,” Clinical Nutrition, vol. 21, no. 2, pp. 119–125, 2002.
View at: Publisher Site | Google Scholar
C. A. Raguso, Y. M. Dupertuis, and C. Pichard, “The role of visceral proteins in the nutritional assessment of intensive care unit patients,” Current Opinion in Clinical Nutrition and Metabolic Care, vol. 6, no. 2, pp. 211–216, 2003.
View at: Publisher Site | Google Scholar

Copyright

Copyright © 2019 Hongliang Luo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

PDF Download Citation

Download other formats

Order printed copies

Views

931

Downloads

619

Citations