BioMed Research International

BioMed Research International / 2021 / Article

Research Article | Open Access

Volume 2021 |Article ID 9678363 | https://doi.org/10.1155/2021/9678363

Ziyu Zhu, Jialiang Gao, Zhixin Liu, Chunfeng Li, Yingwei Xue, "Preoperative Platelet-to-Lymphocyte Ratio (PLR) for Predicting the Survival of Stage I-III Gastric Cancer Patients with a MGC Component", BioMed Research International, vol. 2021, Article ID 9678363, 10 pages, 2021. https://doi.org/10.1155/2021/9678363

Preoperative Platelet-to-Lymphocyte Ratio (PLR) for Predicting the Survival of Stage I-III Gastric Cancer Patients with a MGC Component

Academic Editor: Takatsugu Yamamoto
Received02 Jul 2020
Accepted23 Apr 2021
Published04 May 2021

Abstract

Background. The preoperative platelet-to-lymphocyte ratio (PLR) evaluates the prognosis of gastric cancer patients. However, whether preoperative PLR may be used to evaluate the prognosis of mucinous gastric carcinoma (MGC) patients is poorly investigated. The present study evaluated the effect of preoperative PLR on overall survival in gastric cancer patients with a mucinous component. Methods. A total of 336 MGC were enrolled in this study, and the characteristics of the tumor, including pathological features and clinical data, were retrospectively analyzed. Results. A high PLR was associated with larger tumor size, advanced tumor invasion, lymph node metastasis, advanced TNM stage, tumor location, total gastrectomy, low hemoglobin level, low albumin level, high fibrinogen level, high platelet level, and high neutrophil-to-lymphocyte ratio (NLR, all ). Multivariate analysis identified age (; 95% CI 1.361-2.585, ), TNM stage (; 95% CI 1.216-4.542, ), globulin (; 95% CI 1.067-2.165, ), total gastrectomy (; 95% CI 0.373-0.772, ), and PLR (; 95% CI 1.066-2.348, ) as independent prognostic factors for OS. Conclusion. Preoperative PLR is related to pathological features and may independently evaluate the survival of MGC. Therefore, preoperative PLR may help physicians develop treatment plans and evaluate survival in these patients.

1. Introduction

Gastric cancer is the 5th most common cancer worldwide and the 3rd deadliest malignancy. Approximately 783,000 people died of gastric carcinoma in 2018 [1]. Although the research on gastric cancer is progressing, the histological classification of gastric cancer remains ambiguous and controversial [2].

Mucinous gastric carcinoma (MGC) is a special histological type of gastric cancer, which is defined using different standards, such as diffuse-type by Lauren, infiltrative-type by Ming, and high-grade by the WHO. Mucinous carcinoma accounts for 2–6% of all gastric cancers [35]. The WHO criteria for gastric cancer are a relatively large amount of extracellular mucin (>50% of tumor volume) within tumors, and it is defined as pMGC. A relatively small amount of extracellular mucin (10%-50% of tumor volume) within tumors is defined as mMGC [6]. There are few studies on pMGC. Some of these studies reported poor prognosis, and other studies showed no difference in prognosis between pMGC and other histological types of gastric cancer. Therefore, the clinicopathological features and prognosis of pMGC are controversial. Mucinous gastric carcinoma is rarely reported. Therefore, the study of gastric cancer (pMGC and mMGC) containing extracellular mucin in tumor tissues has important clinical significance [79].

Tumor-associated inflammatory cells and inflammatory mediators received increasing attention in recent years [10]. Peripheral platelets, leukocytes, lymphocytes, and neutrophils promote inflammatory responses [11]. Increasing studies evidenced that the systemic inflammatory response was related to the prognosis of a variety of cancer patients [12, 13]. The inflammatory response indicators include PNI (prognosis nutrition index), NLR (neutrophil-to-lymphocyte ratio), and PLR (platelet-to-lymphocyte ratio). PLR is a reliable factor in the prediction of the cancer prognosis, and it is easily obtained [14]. Cumulative evidence suggested that PLR was an independent risk factor for gastric cancer prognosis and survival. However, there is little data on the prognostic significance of gastric cancer with extracellular mucin in the pathological tissues [15, 16].

The present study evaluated the effect of preoperative PLR on overall survival in gastric cancer patients with extracellular mucin in the pathological tissues.

2. Methods

2.1. Patients

A total of 336 patients who were diagnosed with gastric cancer with a mucinous component and underwent gastrectomy between August 2001 and December 2013 at the Harbin Medical University Cancer Hospital in Heilongjiang, China, were included. The following inclusion criteria were used: (1) all patients diagnosed with gastric cancer with a mucinous component via pathological examination of postoperative tissue specimens, (2) receipt of radical surgery (R0/R1/R2 resection), (3) absence of preoperative neoadjuvant radiotherapy or chemotherapy, (4) patients not taking nutrition replacement therapy or any drugs that may affect the serum markers before blood sample collection, and (5) complete clinicopathological and follow-up data.

2.2. Clinical Data Collection and Processing

The laboratory examination samples were collected within 1 week before surgery, which included leukocytes (109/L), lymphocytes (109/L), platelets (109/L), neutrophils (109/L), serum fibrinogen (g/L), serum albumin (g/L), serum globulin (g/L), and hemoglobin (g/L). Other clinical pathological factors included age, sex, pathologic type [6], tumor size, tumor location, R0/(R1/R2) resection, chemotherapy after surgery, tumor infiltration, lymph node metastasis, and TNM stage [17].

The present study calculated PLR and NLR as follows: and , where L, P, and N indicate lymphocytes, platelets, and neutrophils, respectively.

2.3. Follow-Up

Patients were followed up via telephone or outpatient review. The follow-up was every 3 months in the first two years and every 6 months thereafter. The overall survival (OS) time was from the date of surgery to the death date or last date of follow-up. The follow-up was from December 2001 to January 2018, and the median follow-up time of the patients was 37 (3-60) months. All patients discontinued the follow-up after 5 years of follow-up.

2.4. Statistical Analysis

SPSS 21.0 software (IBM, Chicago, IL, USA) was used for all data analyses. The ROC curve was used to determine the optimal cut-off values for prognostic indicators. Categorical variables were compared using the chi-squared test. Survival analysis was analyzed using the Kaplan-Meier method, and the log-rank test was used to compare the survival difference. Multivariate prognosis analysis was performed using a Cox proportional hazards regression model. was considered statistically significant.

3. Results

3.1. Patient Characteristics

The present study included 336 patients; 237 (70.5%) were men, and 99 (29.5%) were women. The median age was 59 years (range 32-86 years). The median follow-up duration was 37 months (range 3–60 months). At the last follow-up, 185 (55.1%) patients had died, and 151 (44.9%) patients were still alive.

3.2. The Optimal Cut-Off Value for Prognostic Factor

The ROC curves based on 5-year OS rates were used to define the cut-off for tumor size (0.675, ), leukocytes (0.519, ), neutrophils (0.552, ), hemoglobin (0.573, ), fibrinogen (0.595, ), albumin (0.587, ), globulin (0.522, ), platelets (0.567, ), NLR (0.583, ), and PLR (0.609, ), and the areas under the ROC curve (AUC) were disposed above. The optimal cut-offs were determined to be 5.25 for tumor size, 6.17 for leukocytes, 3.31 for neutrophils, 125.1 for hemoglobin, 3.31 for fibrinogen, 40.1 for albumin, 29.2 for globulin, 243 for platelets, 1.6 for NLR, and 133 for PLR. Consequently, patients were divided into two groups based on the optimal cut-off value. The low group was less than the optimal cut-off value, and the high group was equal to or higher than the optimal cut-off value (Table 1).


VariablesThresholdSensitivitySpecificityAUC area (95% CI) value

Tumor size5.250.6670.6030.675 (0.617-0.732)<0.001
Leukocyte6.170.4890.6030.519 (0.457-0.580)0.557
Neutrophil3.310.5910.5170.552 (0.490-0.613)0.103
Hemoglobin125.10.6360.5110.573 (0.512-0.634)0.021
Fibrinogen3.310.5540.6030.595 (0.535-0.656)0.003
Albumin40.10.6490.5320.587 (0.526-0.648)0.006
Globulin29.20.2850.8080.522 (0.461-0.584)0.480
Platelet2430.5540.5830.567 (0.505-0.628)0.036
NLR1.60.7310.4170.583 (0.522-0.044)0.009
PLR1330.6080.6090.609 (0.549-0.670)0.001

; NLR = neutrophil-to-lymphocyte ratio; PLR = platelet-to-lymphocyte ratio.
3.3. Relationship between PLR and Clinicopathological Characteristics

The high PLR was associated with tumor diameter, advanced tumor invasion, lymph node metastasis, advanced TNM stage, tumor location, total gastrectomy, low hemoglobin level, low albumin level, high fibrinogen level, high platelet level, and high NLR (all , Table 2).


Variables (165 cases) (171 cases)X2 value value

Sex1.2210.296
Male121116
Female4455
Age (years)0.3160.574
<597684
≥598987
mMGC/pMGC0.8890.346
mMGC116112
pMGC4959
Tumor size (cm)12.861<0.001
<5.259161
≥5.2574110
Chemotherapy2.4270.119
Yes6986
No9685
R0/R1&2 resection2.5940.107
R0143137
R1/R22234
pT15.8870.001
T1153
T22512
T31924
T4106132
pN15.7300.003
N04527
N13528
N23938
N3a3345
N3b1333
pTNM12.523<0.001
I+II6537
III100134
Tumor location12.9060.024
L10986
M1631
U1817
LM1325
MU65
LMU37
Leukocyte3.7680.052
<6.1782103
≥6.178368
Neutrophil2.6090.106
<3.318371
≥3.3182100
Hemoglobin35.619<0.001
<125.146103
≥125.111968
Fibrinogen10.7910.001
<3.3110073
≥3.316598
Albumin4.0310.045
<40.16586
≥40.110085
Globulin2.1210.145
<29.2119135
≥29.24636
Platelet60.100<0.001
<24311951
≥24346120
Total gastrectomy10.4020.001
Yes3260
No133111
NLR56.385<0.001
<1.68825
≥1.677146

; L = lower; M = middle; U = upper; NLR = neutrophil-to-lymphocyte ratio; MGC = mucinous gastric carcinoma.
3.4. Univariate and Multivariate Survival Analyses

Univariate analysis identified years (), R1/R2 resection (), tumor  cm (), advanced tumor invasion (), lymph node metastasis (), advanced TNM stage (), tumor location (), (), (), (), (), (), (), total gastrectomy (), (), and () as prognostic factors for poor OS (Table 3).


VariablesUnivariate analysisMultivariate analysis
5-YSR (%) valueHR (95% CI) value

SexMale42.20.161
Female51.5
Age (years)<5954.40.0011.876 (1.361-2.585)<0.001
≥5936.4
R0/R1&2 resectionR051.1<0.0011.384 (0.927-2.067)0.112
R1/R214.3
Tumor size (cm)<5.2559.9<0.0010.884 (0.608-1.286)0.520
≥5.2532.6
pMGC/mMGCmMGC47.40.211
pMGC39.8
ChemotherapyYes47.10.191
No43.1
T-stageT188.9<0.0011.289 (0.948-1.753)0.106
T278.4
T348.8
T435.7
N-stageN080.6<0.0011.136 (0.962-1.341)0.132
N149.2
N240.3
N3a29.5
N3b17.4
TNMI+II78.4<0.0012.350 (1.216-4.542)0.011
III30.3
Tumor locationL54.4<0.0011.103 (0.982-1.238)0.097
M38.3
U28.6
LM34.2
MU18.2
LMU20.0
Leukocyte<6.1749.20.077
≥6.1739.7
Neutrophil<3.3150.60.0301.174 (0.818-1.684)0.384
≥3.3140.1
Hemoglobin<125.136.90.0091.096 (0.785-1.528)0.591
≥125.151.3
Fibrinogen<3.3152.60.0050.897 (0.655-1.230)0.500
≥3.3136.8
Albumin<40.135.1<0.0010.761 (0.553-1.046)0.092
≥40.153.0
Globulin<29.248.00.0391.520 (1.067-2.165)0.020
≥29.235.4
NLR<1.655.80.0021.012 (0.662-1.548)0.956
≥1.639.5
Platelet<24351.80.0100.895 (0.619-1.293)0.554
≥24338.0
PLR<13355.6<0.0011.582 (1.066-2.348)0.023
≥13334.5
Total gastrectomyYes21.7<0.0010.537 (0.373-0.772)0.001
No53.7

; 5-YSR = 5-year survival rate; L = lower; M = middle; U = upper; NLR = neutrophil-to-lymphocyte ratio; PLR = platelet-to-lymphocyte ratio; MGC = mucinous gastric carcinoma.

Multivariate analysis identified age (; 95% CI 1.361-2.585, ), TNM stage (; 95% CI 1.216-4.542, ), globulin (; 95% CI 1.067-2.165, ), total gastrectomy (; 95% CI 0.373-0.772, ), and PLR (; 95% CI 1.066-2.348, ) were independent prognostic factors for OS (Table 3, Figure 1).

3.5. Subgroup Analysis

We further investigated the prognostic value of PLR relative to different TNM stages, mucinous component, age, and use of total gastrectomy; a forceful association between PLR and OS was found irrespective of mucinous component ( for <50%; for ≥50%) and age ( for <59; for ≥59). PLR was valuable in the prognosis of patients with stage III () and nontotal gastrectomy (). For patients with stage I+II () and total gastrectomy (), no significant association of PLR with OS was identified. The prognosis for patients with stage I+II in the low PLR group (5-year OS rates was 83%) had a better trend than the high PLR group (5-year OS rates was 70.3%), as illustrated in Figure 2.

4. Discussion

PLR is a widely used, repeatable, and inexpensive laboratory hematological marker, and it has become a hot topic in tumor research. Cumulative studies showed that the value of PLR was related to the early diagnosis, recurrence prediction, and prognosis evaluation of tumors, including gastric cancer, colorectal cancer, and breast cancer [14, 18, 19]. However, whether it may become a new reliable indicator for the early detection and prediction of overall survival of mucinous gastric carcinoma (i.e., the pathological tissue contains extracellular mucin in gastric cancer) remains to be studied.

PLR was an independent risk factor that affected the prognosis of mucinous gastric carcinoma in our study. It effectively predicted the overall survival of patients, and it was closely related to the clinical and pathological characteristics. Preoperative blood samples revealed that high PLR was more common in mucinous gastric carcinoma with lower hemoglobin and serum albumin.

Several studies showed that patients with advanced gastric cancer were more prone to anemia and reduced nutritional status than patients with early gastric cancer, and low levels of hemoglobin and serum albumin also indicated a poor prognosis for patients with gastric cancer [20, 21]. Among the prognostic factors after surgery, we found that mucinous gastric carcinoma with high PLR had larger tumor diameter and greater probability of total gastrectomy and was more prone to serosal infiltration and lymph node metastasis. Serosal infiltration and lymph node metastasis are important components of the TNM stage. Judgment and comprehensive analysis of patient data found that stage III PLR of mucinous gastric carcinoma was higher than stage I+II [22]. Larger tumor diameter is also a highly malignant indicator of gastric cancer, and the larger tumor diameters tend to have higher PLR [23, 24]. Similar findings are demonstrated in other cancers [25, 26]. Lan et al. tested PLR levels in the blood of patients with lung cancer and found that the values of PLR were related to the pathological characteristics [27]. Therefore, we deemed that PLR may be a valid indicator to reflect the malignant degree of mucinous gastric carcinoma.

The research value of PLR in gastric cancer has received more attention from scholars in recent years. A meta-analysis of 13 studies with a total of 6280 patients indicated that high PLR was an essential prognostic blood marker for poor overall survival in patients with gastric cancer [22]. Some studies have shown that PLR is of great value in the prognosis assessment of early gastric cancer, advanced gastric cancer, surgical treatment of gastric cancer, chemotherapy for gastric cancer, and neoadjuvant chemotherapy for gastric cancer [15, 28, 29]. Our study supports the value of PLR in the prognosis assessment of mucinous gastric carcinoma. Systemic inflammatory responses contribute to the initiation, development, and metastasis of tumors and affect the prognosis of patients in multiple aspects [30]. The mechanism of PLR in tumors may first involve the presence of thrombocytosis, which tends to represent a cancer-related inflammation response [31]. Platelets contribute to tumor progression, including angiogenesis, tumor growth, and metastasis, via VEGF, PAF, and PDGF [32]. Second, PF4/CXCL4 (platelet factor 4) regulates tumor angiogenesis and inflammation within the tumor environment, and the other platelet-associated chemokines also have the same function, such as CTAP-III (connective tissue-activating peptide III) [32]. Lymphocytes play a significant role in the antitumor immune responses and cancer immunosurveillance process. Lymphocytes prevented the development of spontaneous epithelial carcinomas and chemically induced sarcomas via cooperation with IFN-γ [33, 34]. To a certain extent, PLR accurately reflected the trend of changes in lymphocytes and platelets in the blood of tumor patients, which indicates that it may have an important role in evaluating the prognosis of mucinous gastric carcinoma.

We found that the 5-year survival rate of the low-PLR group was significantly higher in the MGC patients than the high-PLR group (55.6% vs. 34.5%), and the PLR was associated with OS-related univariate and multivariate analyses and had statistical significance. Therefore, PLR is an independent prognostic factor that affects the prognosis of patients with mMGC and pMGC. Deng et al. showed that high PLR predicted that non-small-cell lung cancer patients who underwent surgery tended to have a poor prognosis [35]. Toda et al. also confirmed that elevated PLR was an independent prognostic factor for OS of patients with liver cancer [36]. Our conclusions are also supported by these studies. Despite the strong predictive power of pTNM staging, their access requires surgery. However, PLR may be calculated only from routine blood examination, which is convenient, simple, economical, and quick. We compared the prognostic value of several common indicators in blood samples using the ROC curve and found that the AUC region of the PLR was larger, which means that the PLR had a satisfactory prognostic value. The subgroup analysis revealed that PLR had a significant association with OS in pMGC or mMGC and age (no less than 59 years). The prognosis survival between the high and low PLR of stage III patients was statistically significant, but not in stage I+II, and the prognosis of the patients with low-grade PLR (average survival time of 54 months) was better than patients with high-grade PLR (mean survival 48 months). These results strongly support our conclusion that PLR is an independent factor that affects the prognosis of patients with mucinous gastric carcinoma.

Blood indicators are important for early diagnosis, individual treatment, and prognosis assessment. Due to its reproducibility, easy access, and low cost, an increasing number of scholars are paying more attention to gastric cancer blood markers in recent years. However, their research was aimed at the whole body of gastric cancer, and our research focused on special pathological histology of gastric cancer with a mucinous component. Therefore, our research has important clinical value. PLR may be used as one of the reliable reference indicators for prognosis evaluation of mucinous gastric carcinoma in clinical applications. The optimal interception value of PLR is controversial, and the mechanism of PLR rise and lymphocyte reduction in preoperative tumor patients remains unclear. This limitation was also a flaw in our research.

The limitations of this study are the small sample size and lack of DFS (disease-free survival). However, because of the complete and credible data on OS, the value of PLR for the prognosis of patients with MGC is sufficient and convincing. The subgroup analysis combining different clinical characteristics corroborates the research results. Similar studies have consistent problems with the use of peripheral blood cell counts and derived indices. These cells change rapidly in the human body due to their susceptibility to a variety of physiological and environmental factors. Although we used the relatively effective ROC method to determine the best cut-off value, other researchers tend to use the mean, median, or reference range for measurement. Therefore, our prediction model may be biased. Further research will probe the mechanism of how the higher PLR promoted MGC using immunohistochemistry or animal experiments and accumulate more clinical data of MGC patients to verify the association between PLR and MGC.

In summary, mucinous adenocarcinoma should be a special type of gastric cancer, and changes in PLR should be noted in clinical work because it may contribute to planning in review time and the evaluation prognosis of mucinous gastric carcinoma.

5. Conclusion

The high PLR in gastric cancer patients with mucinous component was connected with larger tumor size, advanced tumor invasion, lymph node metastasis, and advanced TNM stage in our study, but it was also associated with a low hemoglobin level, low albumin level, and high NLR. More importantly, we found that PLR was an independent prognostic factor that affected the prognosis of patients with mMGC and pMGC. Our results suggest that physicians may use PLR as a biomarker in the evaluation of the prognosis of gastric cancer patients with a mucinous component.

Data Availability

The patient clinical data used to support the findings of this study have not been made available because the patients’ privacy needs to be kept confidential.

Ethical Approval

The study was approved by the Ethical Committee of Harbin Medical University Cancer Hospital and complied with the standards of the Declaration of Helsinki and its later amendments.

Conflicts of Interest

The authors have declared that no competing interest exists.

Authors’ Contributions

Ziyu Zhu and Jialiang Gao contributed equally to this work.

Acknowledgments

The study was supported by the Application Technology Research and Development Program of Harbin Science and Technology Bureau (2017RAXXJ054) and Nn10 Supporting Program of Harbin Medical University Cancer Hospital (Nn10 PY2017-3).

References

  1. P. Rawla and A. Barsouk, “Epidemiology of gastric cancer: global trends, risk factors and prevention,” Gastroenterology Review, vol. 14, no. 1, pp. 26–38, 2019. View at: Publisher Site | Google Scholar
  2. Y. Bozkaya, G. U. Erdem, N. Y. Ozdemir et al., “Comparison of clinicopathological and prognostic characteristics in patients with mucinous carcinoma and signet ring cell carcinoma of the stomach,” Current Medical Research and Opinion, vol. 33, no. 1, pp. 109–116, 2017. View at: Publisher Site | Google Scholar
  3. C. Yin, D. Li, Z. Sun et al., “Clinicopathologic features and prognosis analysis of mucinous gastric carcinoma,” Medical Oncology, vol. 29, no. 2, pp. 864–870, 2012. View at: Publisher Site | Google Scholar
  4. S. C. Ming, “Gastric carcinoma. A pathobiological classification,” Cancer, vol. 39, no. 6, pp. 2475–2485, 1977. View at: Publisher Site | Google Scholar
  5. P. Lauren, “The two histological main types of gastric carcinoma: diffuse and so-called intestinal-type carcinoma,” Acta Pathologica et Microbiologica Scandinavica, vol. 64, no. 1, pp. 31–49, 1965. View at: Publisher Site | Google Scholar
  6. J.-F. Fléjou, “WHO classification of digestive tumors: the fourth edition,” Annales de Pathologie, vol. 31, Supplement 5, pp. S27–S31, 2011. View at: Publisher Site | Google Scholar
  7. L. S. Woo, D. Y. Kim, Y. J. Kim, and S. K. Kim, “Clinicopathologic features of mucinous gastric carcinoma,” Digestive Surgery, vol. 19, no. 4, pp. 286–290, 2002. View at: Publisher Site | Google Scholar
  8. K. Yasuda, Y. Adachi, N. Shiraishi, K. Yamaguchi, A. Shiromizu, and S. Kitano, “Pathology and prognosis of mucinous gastric carcinoma,” Journal of Surgical Oncology, vol. 76, no. 4, pp. 272–277, 2001. View at: Publisher Site | Google Scholar
  9. X. L. Tang, J. W. Zhang, X. Che, Z. Lan, Y. Chen, and C. Wang, “The clinicopathological features and long-term survival outcomes of mucinous gastric carcinoma: a consecutive series of 244 cases from a single institute,” Journal of Gastrointestinal Surgery, vol. 20, no. 4, pp. 693–699, 2016. View at: Publisher Site | Google Scholar
  10. X. W. Sun, X. C. Liu, J. J. Liu et al., “Preoperative neutrophil-to-lymphocyte ratio plus platelet-to-lymphocyte ratio in predicting survival for patients with stage I-II gastric cancer,” Chinese Journal of Cancer, vol. 35, no. 1, p. 57, 2016. View at: Publisher Site | Google Scholar
  11. H. P. Huang, Q. Liu, L. X. Zhu et al., “Prognostic value of preoperative systemic immune-inflammation index in patients with cervical cancer,” Scientific Reports, vol. 9, no. 1, p. 3284, 2019. View at: Publisher Site | Google Scholar
  12. L. Yu, C. Y. Lv, A. H. Yuan, W. Chen, and A. W. Wu, “Significance of the preoperative neutrophil-to-lymphocyte ratio in the prognosis of patients with gastric cancer,” World Journal of Gastroenterology, vol. 21, no. 20, pp. 6280–6286, 2015. View at: Publisher Site | Google Scholar
  13. V. Bar-Ad, J. Palmer, L. Li et al., “Neutrophil to lymphocyte ratio associated with prognosis of lung cancer,” Clinical & Translational Oncology, vol. 19, no. 6, pp. 711–717, 2017. View at: Publisher Site | Google Scholar
  14. S. Krenn-Pilko, U. Langsenlehner, E. M. Thurner et al., “The elevated preoperative platelet-to-lymphocyte ratio predicts poor prognosis in breast cancer patients,” British Journal of Cancer, vol. 110, no. 10, pp. 2524–2530, 2014. View at: Publisher Site | Google Scholar
  15. L. Lian, Y. Y. Xia, C. Zhou et al., “Application of platelet/lymphocyte and neutrophil/lymphocyte ratios in early diagnosis and prognostic prediction in patients with resectable gastric cancer,” Cancer Biomarkers, vol. 15, no. 6, pp. 899–907, 2015. View at: Publisher Site | Google Scholar
  16. S. Cetinkunar, H. Guzel, I. Emre Gokce et al., “High levels of platelet/lymphocyte ratio are associated with metastatic gastric cancer,” Journal of BUON, vol. 20, no. 1, pp. 78–83, 2015. View at: Google Scholar
  17. J.-Y. Liu, C.-W. Peng, X.-J. Yang, C.-Q. Huang, and Y. Li, “The prognosis role of AJCC/UICC 8th edition staging system in gastric cancer, a retrospective analysis,” American Journal of Translational Research, vol. 10, no. 1, pp. 292–303, 2018. View at: Google Scholar
  18. X. Zhou, L. Xu, Z. B. Huang et al., “The hematologic markers as prognostic factors in patients with resectable gastric cancer,” Cancer Biomarkers, vol. 17, no. 3, pp. 359–367, 2016. View at: Publisher Site | Google Scholar
  19. M. Bailon-Cuadrado, E. Choolani-Bhojwani, F. J. Tejero-Pintor et al., “Preoperative platelet-lymphocyte ratio is an independent factor of poor prognosis after curative surgery for colon cancer,” Updates in Surgery, vol. 70, no. 1, pp. 33–39, 2018. View at: Publisher Site | Google Scholar
  20. J. G. Shen, J. H. Cheong, W. J. Hyung, J. Kim, S. H. Choi, and S. H. Noh, “Pretreatment anemia is associated with poorer survival in patients with stage I and II gastric cancer,” Journal of Surgical Oncology, vol. 91, no. 2, pp. 126–130, 2005. View at: Publisher Site | Google Scholar
  21. K. Yamashita, H. Ushiku, N. Katada et al., “Reduced preoperative serum albumin and absence of peritoneal dissemination may be predictive factors for long-term survival with advanced gastric cancer with positive cytology test,” European Journal of Surgical Oncology, vol. 41, no. 10, pp. 1324–1332, 2015. View at: Publisher Site | Google Scholar
  22. Z. S. Xu, W. Xu, H. Cheng et al., “The prognostic role of the platelet-lymphocytes ratio in gastric cancer: a meta-analysis,” PLoS One, vol. 11, no. 9, article e0163719, 2016. View at: Publisher Site | Google Scholar
  23. H. L. Zu, F. Wang, Y. Ma, and Y. Xue, “Stage-stratified analysis of prognostic significance of tumor size in patients with gastric cancer,” PLoS One, vol. 8, no. 1, article e54502, 2013. View at: Publisher Site | Google Scholar
  24. N. Lou, L. Zhang, X. D. Chen et al., “A novel scoring system associating with preoperative platelet/lymphocyte and clinicopathologic features to predict lymph node metastasis in early gastric cancer,” The Journal of Surgical Research, vol. 209, pp. 153–161, 2017. View at: Publisher Site | Google Scholar
  25. Y. Zhang, L. Wang, Y. D. Liu et al., “Preoperative neutrophil-lymphocyte ratio before platelet-lymphocyte ratio predicts clinical outcome in patients with cervical cancer treated with initial radical surgery,” International Journal of Gynecological Cancer, vol. 24, no. 7, pp. 1319–1325, 2014. View at: Publisher Site | Google Scholar
  26. Z. H. Chen, G. L. Zhao, F. Y. Chen, J. Xia, and L. Jiang, “The prognostic significance of the neutrophil-to-lymphocyte ratio and the platelet-to-lymphocyte ratio in giant cell tumor of the extremities,” BMC Cancer, vol. 19, no. 1, p. 329, 2019. View at: Publisher Site | Google Scholar
  27. H. D. Lan, L. Zhou, D. M. Chi et al., “Preoperative platelet to lymphocyte and neutrophil to lymphocyte ratios are independent prognostic factors for patients undergoing lung cancer radical surgery: a single institutional cohort study,” Oncotarget, vol. 8, no. 21, pp. 35301–35310, 2017. View at: Publisher Site | Google Scholar
  28. W. P. Gong, L. Zhao, Z. G. Dong et al., “After neoadjuvant chemotherapy platelet/lymphocyte ratios negatively correlate with prognosis in gastric cancer patients,” Journal of Clinical Laboratory Analysis, vol. 32, no. 5, article e22364, 2018. View at: Publisher Site | Google Scholar
  29. F. Wang, Z.-Y. Liu, Y.-Y. Xia et al., “Changes in neutrophil/lymphocyte and platelet/lymphocyte ratios after chemotherapy correlate with chemotherapy response and prediction of prognosis in patients with unresectable gastric cancer,” Oncology Letters, vol. 10, no. 6, pp. 3411–3418, 2015. View at: Publisher Site | Google Scholar
  30. Y. Y. Zhu, W. Si, Q. Sun, B. Qin, W. Zhao, and J. Yang, “Platelet-lymphocyte ratio acts as an indicator of poor prognosis in patients with breast cancer,” Oncotarget, vol. 8, no. 1, pp. 1023–1030, 2017. View at: Publisher Site | Google Scholar
  31. Q. T. Zhao, X. P. Zhang, H. Zhang, and G. C. Duan, “Prognostic role of platelet to lymphocyte ratio in esophageal cancer: a meta-analysis,” Oncotarget, vol. 8, no. 67, pp. 112085–112093, 2017. View at: Publisher Site | Google Scholar
  32. L. A. Sullivan and R. A. Brekken, “The VEGF family in cancer and antibody-based strategies for their inhibition,” MAbs, vol. 2, no. 2, pp. 165–175, 2010. View at: Publisher Site | Google Scholar
  33. K. Pilatova, K. Greplova, R. Demlova, B. Bencsikova, G. L. Klement, and L. Zdrazilova-Dubska, “Role of platelet chemokines, PF-4 and CTAP-III, in cancer biology,” Journal of Hematology & Oncology, vol. 6, no. 1, p. 42, 2013. View at: Publisher Site | Google Scholar
  34. W. Song, K. Wang, F. P. Zhong, Y. W. Fan, L. Peng, and S. B. Zou, “Clinicopathological and prognostic significance of platelet-to-lymphocyte ratio in patients with hepatocellular carcinoma,” Oncotarget, vol. 7, no. 49, pp. 81830–81838, 2016. View at: Publisher Site | Google Scholar
  35. J. H. Deng, P. Zhang, Y. Sun, P. Peng, and Y. Huang, “Prognostic and clinicopathological significance of platelet to lymphocyte ratio in esophageal cancer: a meta-analysis,” Journal of Thoracic Disease, vol. 10, no. 3, pp. 1522–1531, 2018. View at: Publisher Site | Google Scholar
  36. M. Toda, T. Tsukioka, N. Izumi et al., “Platelet-to-lymphocyte ratio predicts the prognosis of patients with non-small cell lung cancer treated with surgery and postoperative adjuvant chemotherapy,” Thoracic Cancer, vol. 9, no. 1, pp. 112–119, 2018. View at: Publisher Site | Google Scholar

Copyright © 2021 Ziyu Zhu 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.

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