Perioperative change in neutrophil count predicts worse survival in esophageal squamous cell carcinoma

DOI: https://doi.org/10.21203/rs.3.rs-30246/v1

Abstract

Background

Numerous studies reported the prognostic significance of neutrophil count (or preferably NLR) in patients with esophageal squamous cell carcinoma (ESCC), while the relationship between perioperative change in neutrophil count and survival of patients with ESCC after surgery has not been assessed.

Methods

A total of 603 patients with newly diagnosed ESCC after the operation were enrolled in the study. Neutrophil change (Nc) (Nc = Post-Neutrophil–Pre-Neutrophil) was counted according to data within one week before surgery and two week after surgery. The median of Nc was selected to be the cut off value to evaluate the relationship between Nc and Overall survival (OS).

Results

105 (17.4%) patients had pathological stage 1a-1b, 205 (34.0%) patients had pathological stage 2a-2b, and 293 (48.6%) patients had pathological stage 3a-3c.There were 180 (29.9%) patients who had vessel invasive, and 423 (70.1%) patients without vessel invasive. There were 215(35.7%) patients who had nerve infiltration, and 388 (64.3%) without nerve infiltration. In univariate analysis, six parameters including neutrophil change(Nc)(≥ 2.60 vs.<2.60) (P = 0.010, HR = 0.694, 95% CI 0.526–0.915) significantly correlated to worse OS. Multivariate analysis revealed that neutrophil change(Nc)(≥ 2.60 vs.<2.60) was an independent prognostic marker for OS (P = 0.022, HR = 0.720, 95% CI 0.544–0.954). Kaplan-Meier curves shown that Nc < 2.60 was significantly associated with worse OS (P = 0.016).

Conclusions

Perioperative change in neutrophil count predicts worse survival in patients with ESCC after the operation.

Background

Esophageal cancer is one of the most aggressive and common carcinoma worldwide and the fourth most frequent cause of carcinoma-related mortality in China [1]. Esophageal squamous cell carcinoma (ESCC) remains the predominant pathological tissue type in China [2, 3]. The clinical outcome of ESCC patients remains unsatisfactory due to distant metastasis or a high recurrence rate. Although surgical intervention, chemotherapy, radiation and biologically targeted treatments have been improved, the five-year survival rate remains 20%-30% worldwide [4]. Therefore, it is urgent to identify reliable and conventional prognosis markers that may contribute to classify patients with high risk of death and may guide the perioperative management of these patients.

Accumulating evidence indicates neutrophils play a vital role in tumor progression by interacting with immune and cancer cells [5, 6]. Neutrophils are involve in anti- and pro-tumor activities including tumor cell killing, proliferation, aggressiveness, metastasis, angiogenesis, and participating in other immune responses[713]. In addition to their effect in tumor site, retrospective researches and functional analyses of neutrophil-to-lymphocyte ratio (NLR) indicate that neutrophils in blood could also play an important value in tumor progression. Oncologists systematically monitored neutrophil counts during cancer management, due to chemotherapy caused neutropenia that makes patients more susceptible to infection [14, 15]. Numerous reviews and meta-analyses reported the prognostic significance of neutrophil count (or preferably NLR) [1620]. These findings focused on preoperative neutrophil count, while the relationship between perioperative change in neutrophil count and survival of patients with ESCC after the operation has not been assessed.

We hypothesized that the perioperative change in neutrophil count might reflect the efficacy of surgical treatment and predict the clinical outcome of patients with ESCC. Therefore, we investigated whether the perioperative change in neutrophil count might be an independent prognostic factor in patients with ESCC who received surgical intervention.

Methods

Patient selection

A total of 603 patients who were newly diagnosed ESCC and radical esophagectomy were enrolled in the present study at Cancer Hospital of the University of Chinese Academy of Sciences, from 2008 to 2014. All tumor specimens were pathologically confirmed as ESCC after surgery. The blood routine was examined within one week before surgery. If the preoperative neutrophil count was performed on the first day and on the fourth day before surgery, the closest experimental data was selected. The postoperative neutrophil count was checked within two weeks after operation. In order to reduce the risk of stress response after surgery, the neutrophil count farthest within two weeks were collected. The unit of neutrophil count was per L in our clinical laboratory. Patients with incomplete clinical and laboratory data were excluded. Patients with active infection or any simultaneous hematological diseases or other tumors before the operation were excluded. Patients who received neoadjuvant chemotherapy were excluded. Because the preoperative neutrophil counts may be influenced by these diseases or treatments. The present study was approved by the Ethics Committee of Cancer Hospital of the University of Chinese Academy of Sciences (Hangzhou, China). The study was conduct in accordance with the Declaration of Helsinki. In the end, all patients received written informed consent.

Statistical analysis

The preoperative neutrophil counts and the postoperative neutrophil counts were counted as continuous variables, which do not conform to the normal distribution. Continuous data was represented by median and quartile intervals. The clinical characteristics of ESCC patients were analyzed as categorical variables that were presented as numbers and percentage. The chi-square test was used to compare categorical variables. Overall survival (OS) was calculated from the date of surgery to the date of death and the last follow-up. Overall survival curve was estimated by the log-rank test and the Kaplan-Meier method. The overall survival curve was plotted by GraphPad Prism 7 software. COX regression analyses were used to evaluate independent prognostic markers. All statistical analysis was calculated by SPSS, version 19.0 (SPSS, Chicago, IL, USA). The software CRAN-R (version 3.3.0.) was used to illustrate the beeswarm plot. P less than 0.05 were considered as statistical significance.

Results

Patient characteristics

There were 86 (14.3%) female and 517 (85.7%) male patients with newly diagnosed ESCC. There were 279 (46.3%) young patients whose age at first diagnosis≤60 years and 324 (53.7%) old patients (>60 years). 105 (17.4%) patients had pathological stage 1a-1b, 205 (34.0%) patients had pathological stage 2a-2b, and 293 (48.6%) patients had pathological stage 3a-3c.There were 180 (29.9%) patients who had vessel invasive, and 423 (70.1%) patients without vessel invasive. There were 215(35.7%) patients who had nerve infiltration, and 388 (64.3%) without nerve infiltration. 408 (67.7%) patients with surgery only, 137 (22.7%) patients who received postoperative chemotherapy, and 58 (9.6%) patients who received radiotherapy and chemotherapy after operation. The median value of the preoperative neutrophil count was 3.5, and the quartile interval is 2.8-4.5. The median value of the postoperative neutrophil count was 6.2, and the quartile interval is 5.0-7.6. Details of clinical features were shown in Table 1. Significant differences in the neutrophil count was observed prior to and following surgery (P<0.001) (Figure 1).

Relationship between neutrophil change and clinical features

The clinical data of patients in neutrophil change(Nc) <2.60 group and in neutrophil change(Nc) ≥2.60 group are listed in Table 1. There were no significant difference between the two groups in terms of clinical data including sex, age, depth of tumor, lymph node metastasis, pathological stage, pathology grade, vessel invasive, nerve infiltration, and treatment regimen. The median of Pre-Neutrophil and Post-Neutrophil were both higher in neutrophil change(Nc) ≥2.60 group than in neutrophil change(Nc) <2.60 group (both P <0.001).

Prognostic variables for OS

In univariate analysis, six parameters including neutrophil change(Nc)(≥2.60 vs.<2.60) (P=0.010), depth of tumor (P<0.05), lymph node metastasis (P<0.05), pathological stage (P<0.001), vessel invasive (absence vs. presence) (P<0.001), and nerve infiltration (absence vs. presence) (P<0.001) predict worse OS. Multivariate analysis revealed that neutrophil change(Nc)(≥2.60 vs.<2.60) (P=0.022), lymph node metastasis (P<0.05), and nerve infiltration (absence vs. presence) (P=0.005) could serve as independent prognostic markers of worse OS (Table 2). OS of patients with neutrophil change(Nc)(<2.60) group were notably worse compared to patients with neutrophil change(Nc)(≥2.60) group (P=0.016) (Figure 2).

Subgroup analysis according to other clinical features

To investigate the subgroups of patients with ESCC impacted by neutrophil change(Nc), we classified patients based on gender (male, n=517; female, n=86), age (≤60, n=279; >60, n=324), pathological stage (1a-1b, n=105; 2a-2b, n=205; 3a-3c, n=293), vessel invasive (Yes, n=180; No, n=423), and nerve infiltration(Yes, n=215; No, n=388). OS of male patients, age≤60 patients, patients without vessel invasive and patients without nerve infiltration were dramatically worse for those with neutrophil change(Nc)(<2.60) (P=0.013, P=0.002, P=0.004, and P=0.014), but OS did not differ in female patients, age>60 patients, patients with vessel invasive and patients with nerve infiltration (Figure 3- Figure 7). Patients with pathological stage 3a-3c tend to have worse OS in neutrophil change(Nc)(<2.60) group than in neutrophil change(Nc)(≥2.60), but do not reach statistical difference (P=0.050).

Discussion

Because chemotherapy caused neutropenia, oncologists always evaluated neutrophil counts during the process of chemotherapy treatment [14, 15]. Numerous retrospective studies and meta-analyses reported that neutrophil count (or preferably NLR) could serve as an independent prognostic factor in patients with ESCC [1620]. However, these reports based on preoperative neutrophil count, the association between perioperative change in neutrophil count and clinical outcome of patients with ESCC undergoing curative surgery has not been investigated.

In the present study, all enrolled patients were divided into two groups including neutrophil change(Nc)(< 2.60) and neutrophil change(Nc)(≥ 2.60) according to the median of neutrophil change(Nc). Our study evaluated perioperative change in neutrophil count and the influence of Nc on survival in patients with ESCC. So far we firstly indicated that perioperative change in neutrophil count could be an independent prognostic factor in patients with ESCC. Based on subgroup analysis we shown that neutrophil change(Nc)(< 2.60) predicted worse OS in male patients, age ≤ 60 patients, patients without vessel invasive and patients without nerve infiltration, but OS did not differ in other subgroup. This finding indicated that neutrophil change(Nc) may serve as prognostic marker specially in these subgroup including male, age ≤ 60, with vessel invasive, and with nerve infiltration. Neutrophil change(Nc)(< 2.60) could assistant clinical doctors to predict and guide prognosis.

Even though the mechanisms of the association between Neutrophil change(Nc)(< 2.60) and worse OS remains unknown, the interpretation are as follows: (1) Neutrophils account for 50–70% of all circulating white blood cells in healthy adult, and they play an important role in the inflammatory reaction [21]. Neutropenia makes patients more susceptible to infection that belongs to the complication after surgery [22, 23]. In our findings, Neutrophil change(Nc)(< 2.60) group had lower Pre- Neutrophil that may be correlated with a preexisting hypoimmunity. (2) In addition, Neutrophil change(Nc)(< 2.60) group had weak Post-Neutrophil, which may lead to the infection and complication. Therefore Neutrophil change(Nc)(< 2.60) group with both lower Pre- Neutrophil and Post-Neutrophil predicted shorter OS.

An emerging pro-tumor ability of circulating neutrophils has recently been identified. Neutrophils are able to entrap circulating tumor cells (CTCs) by facilitating their extravasation thus promoting metastasis [2428]. Moreover, neutrophils were described for their ability to infiltrate cancer tissue and are called tumor-associated neutrophils (TANs) [29]. TANs were shown to play a vital role in promoting tumor progression through proliferation, angiogenesis, and interacting with immune cells [3034]. Although accumulating evidence indicates that TANs are key players in pro-tumor immunity, large researches suggest that contribute to anti-tumor. TANs were able to induce apoptosis through releasing cytotoxic molecules including ROS [35]. In addition, TANs play an important role in recruiting and activating cytotoxic CD8 + and intra-tumor CD4 + T cells [36]. Neutrophils were shown to kill cancer cells by a process termed trogoptosis, which was different from ferroptosis [37]. Therefore Neutrophils contribute to promote cytotoxic T cell reaction by eliminating resistant tumor clones [38].Neutrophil derived extracellular DNA (NETs) were shown to lead to cancer cell death [39]. Because of heterogeneity in neutrophil function, scientists hypothesize that different subgroups of TANs may be involved. The prognostic effect of TANs remains inconsistent because they have relationship with either a worse or better survival [4045]. Due to the importance of neutrophils in the immunity upon bacterial infection, the neutrophil count in blood routine examination is utilized as a read-out during cancer management related toxicities. Neutrophil count is routine, cheap and reliable in clinical examination. The clinical application of neutrophil count could contribute to predict and guide the prognosis of patients with ESCC specially in these subgroup including male, age ≤ 60, with vessel invasive, and with nerve infiltration.

A beeswarm plot is a two-dimensional visualization technique in which the measured values are drawn in a fixed reference shaft and avoided the overlap of these values. It is good at presenting the experimental data points and the relative distribution of these data point. There were some shortcomings in this study: first, this retrospective design study did not include the validation set neither in our laboratory nor in multicenter hospital. The validation set could improve the suggestion of Neutrophil change(Nc)(< 2.60) may serve as an independent prognostic factor; Second, due to the low patients in the adjuvant treatments such as radiation and chemotherapy, this subgroup were not taken into account. Third, because of retrospective study, the neutrophil count could not be checked on specific days. In order to reduce the risk of stress response after surgery, the post-neutrophil count farthest within two weeks were collected. Despite these limitations, we first investigate the relationship between perioperative change in neutrophil count and clinical outcome in ESCC undergoing curative resection.

Conclusion

In conclusion, this study first indicate that Neutrophil change(Nc)(< 2.60) predict worse OS in patients with ESCC specially in these subgroup including male, age ≤ 60, with vessel invasive, and with nerve infiltration. Neutrophil change(Nc)(< 2.60) could contribute the oncologists to evaluate and predict prognosis based on clinical examination data. In the future, more prospective and multicenter studies are warranted to prove the relationship between them.

Abbreviations

ESCC: Esophageal squamous cell carcinoma; NLR: Neutrophil-to-lymphocyte ratio; Nc: Neutrophil change; OS: Overall survival; HR: Hazard ratio; CI: Confidence interval; CTCs: Circulating tumor cells; TANs: Tumor-associated neutrophils;

Declarations

Ethics approval and consent to participate

All procedures in our study were conducted in keeping with the ethical standards of the World Medical Association Declaration of Helsinki. All the patients provided written informed consent, the protocol was approved by ethics committee at Cancer Hospital of the University of Chinese Academy of Sciences.

Consent to publish

Not applicable.

Availability of data and materials

The data is available by contacting corresponding author.

Competing interests

No conflict of interest.

Funding

This study was funded by National Natural Science Foundation of China (contract/grant number: 81602615), Zhejiang Youth Talents Project (contract/grant number: 2019RC026), and General research program of Health Department of Zhejiang Province (contract/grant number: 2020KY480). The funders had no role in the design, analysis, or writing of this manuscript.

Authors' contributions

QS designed the study, and was a major contributor in writing the manuscript.; JW collected material and data and was involved in the statistical interpretation of the data.; SW collected material and data and performed statistical analysis,; SX drafted the manuscript.. All authors read and approved the final manuscript.

Acknowledgments

We thank the included individuals, including the oncologists, laboratory personnel, and patients in the present study.

Authors’ Information

1Department of Clinical Laboratory, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital); Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou, Zhejiang, People’s Republic of China;

2Cancer Research Institute, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital); Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou, Zhejiang, People’s Republic of China.

References

  1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. Cancer J Clin. 2018;68:394–424.
  2. Arnold M, Laversanne M, Brown LM, Devesa SS, Bray F. Predicting the Future Burden of Esophageal Cancer by Histological Subtype: International Trends in Incidence up to 2030. Am J Gastroenterol. 2017;112:1247–55.
  3. Tran GD, Sun XD, Abnet CC, Fan JH, Dawsey SM, Dong ZW, et al. Prospective study of risk factors for esophageal and gastric cancers in the Linxian general population trial cohort in China. International journal of cancer. 2005;113:456–63.
  4. Gertler R, Stein HJ, Langer R, Nettelmann M, Schuster T, Hoefler H, et al. Long-term outcome of 2920 patients with cancers of the esophagus and esophagogastric junction: evaluation of the New Union Internationale Contre le Cancer/American Joint Cancer Committee staging system. Annals of surgery. 2011;253:689–98.
  5. Lecot P, Sarabi M, Pereira Abrantes M, Mussard J, Koenderman L, Caux C, et al. Neutrophil Heterogeneity in Cancer: From Biology to Therapies. Frontiers in immunology. 2019;10:2155.
  6. Mackey JBG, Coffelt SB, Carlin LM. Neutrophil Maturity in Cancer. Frontiers in immunology. 2019;10:1912.
  7. Otten MA, Rudolph E, Dechant M, Tuk CW, Reijmers RM, Beelen RH, et al. Immature neutrophils mediate tumor cell killing via IgA but not IgG Fc receptors. Journal of immunology. 2005;174:5472–80.
  8. Powell D, Lou M, Barros Becker F, Huttenlocher A. Cxcr1 mediates recruitment of neutrophils and supports proliferation of tumor-initiating astrocytes in vivo. Scientific reports. 2018;8:13285.
  9. Schwaller J, Schneider P, Mhawech-Fauceglia P, McKee T, Myit S, Matthes T, et al. Neutrophil-derived APRIL concentrated in tumor lesions by proteoglycans correlates with human B-cell lymphoma aggressiveness. Blood. 2007;109:331–8.
  10. Saini M, Szczerba BM, Aceto N. Circulating Tumor Cell-Neutrophil Tango along the Metastatic Process. Cancer research. 2019.
  11. SenGupta S, Subramanian BC, Parent CA. Getting TANned: How the tumor microenvironment drives neutrophil recruitment. J Leukoc Biol. 2019;105:449–62.
  12. Giese MA, Hind LE, Huttenlocher A. Neutrophil plasticity in the tumor microenvironment. Blood. 2019;133:2159–67.
  13. Lerman I, Hammes SR. Neutrophil elastase in the tumor microenvironment. Steroids. 2018;133:96–101.
  14. Li Y, Klippel Z, Shih X, Wang H, Reiner M, Page JH. Trajectory of absolute neutrophil counts in patients treated with pegfilgrastim on the day of chemotherapy versus the day after chemotherapy. Cancer Chemother Pharmacol. 2016;77:703–12.
  15. Klastersky J, de Naurois J, Rolston K, Rapoport B, Maschmeyer G, Aapro M, et al. Management of febrile neutropaenia: ESMO Clinical Practice Guidelines. Annals of oncology: official journal of the European Society for Medical Oncology. 2016;27:v111–8.
  16. Templeton AJ, McNamara MG, Seruga B, Vera-Badillo FE, Aneja P, Ocana A, et al. Prognostic role of neutrophil-to-lymphocyte ratio in solid tumors: a systematic review and meta-analysis. J Natl Cancer Inst. 2014;106:dju124.
  17. Paramanathan A, Saxena A, Morris DL. A systematic review and meta-analysis on the impact of pre-operative neutrophil lymphocyte ratio on long term outcomes after curative intent resection of solid tumours. Surg Oncol. 2014;23:31–9.
  18. Szor DJ, Dias AR, Pereira MA, Ramos M, Zilberstein B, Cecconello I, et al. Prognostic Role of Neutrophil/Lymphocyte Ratio in Resected Gastric Cancer: A Systematic Review and Meta-analysis. Clinics. 2018;73:e360.
  19. Pirozzolo G, Gisbertz SS, Castoro C, van Berge Henegouwen MI, Scarpa M. Neutrophil-to-lymphocyte ratio as prognostic marker in esophageal cancer: a systematic review and meta-analysis. Journal of thoracic disease. 2019;11:3136–45.
  20. Ittiamornlert P, Ruengkhachorn I. Neutrophil-lymphocyte ratio as a predictor of oncologic outcomes in stage IVB, persistent, or recurrent cervical cancer patients treated by chemotherapy. BMC Cancer. 2019;19:51.
  21. Mestas J, Hughes CC. Of mice and not men: differences between mouse and human immunology. Journal of immunology. 2004;172:2731–8.
  22. Al-Tawfiq JA, Hinedi K, Khairallah H, Saadeh B, Abbasi S, Noureen M, et al. Epidemiology and source of infection in patients with febrile neutropenia: A ten-year longitudinal study. J Infect Public Health. 2019;12:364–6.
  23. Gockel I, Niebisch S, Ahlbrand CJ, Hoffmann C, Mohler M, Duber C, et al. Risk and Complication Management in Esophageal Cancer Surgery: A Review of the Literature. Thorac Cardiovasc Surg. 2016;64:596–605.
  24. Huh SJ, Liang S, Sharma A, Dong C, Robertson GP. Transiently entrapped circulating tumor cells interact with neutrophils to facilitate lung metastasis development. Cancer research. 2010;70:6071–82.
  25. Spicer JD, McDonald B, Cools-Lartigue JJ, Chow SC, Giannias B, Kubes P, et al. Neutrophils promote liver metastasis via Mac-1-mediated interactions with circulating tumor cells. Cancer research. 2012;72:3919–27.
  26. Cools-Lartigue J, Spicer J, McDonald B, Gowing S, Chow S, Giannias B, et al. Neutrophil extracellular traps sequester circulating tumor cells and promote metastasis. The Journal of clinical investigation. 2013.
  27. Tohme S, Yazdani HO, Al-Khafaji AB, Chidi AP, Loughran P, Mowen K, et al. Neutrophil Extracellular Traps Promote the Development and Progression of Liver Metastases after Surgical Stress. Cancer research. 2016;76:1367–80.
  28. Chen MB, Hajal C, Benjamin DC, Yu C, Azizgolshani H, Hynes RO, et al. Inflamed neutrophils sequestered at entrapped tumor cells via chemotactic confinement promote tumor cell extravasation. Proc Natl Acad Sci USA. 2018;115:7022–7.
  29. Gabrilovich DI. Myeloid-Derived Suppressor Cells. Cancer immunology research. 2017;5:3–8.
  30. Di Mitri D, Toso A, Chen JJ, Sarti M, Pinton S, Jost TR, et al. Tumour-infiltrating Gr-1 + myeloid cells antagonize senescence in cancer. Nature. 2014;515:134–7.
  31. Jablonska J, Leschner S, Westphal K, Lienenklaus S, Weiss S. Neutrophils responsive to endogenous IFN-beta regulate tumor angiogenesis and growth in a mouse tumor model. J Clin Investig. 2010;120:1151–64.
  32. Fridlender ZG, Sun J, Kim S, Kapoor V, Cheng G, Ling L, et al. Polarization of tumor-associated neutrophil phenotype by TGF-beta: "N1" versus "N2" TAN. Cancer cell. 2009;16:183–94.
  33. Coffelt SB, Kersten K, Doornebal CW, Weiden J, Vrijland K, Hau CS, et al. IL-17-producing gammadelta T cells and neutrophils conspire to promote breast cancer metastasis. Nature. 2015;522:345–8.
  34. Rodriguez PC, Quiceno DG, Zabaleta J, Ortiz B, Zea AH, Piazuelo MB, et al. Arginase I production in the tumor microenvironment by mature myeloid cells inhibits T-cell receptor expression and antigen-specific T-cell responses. Cancer research. 2004;64:5839–49.
  35. Takeshima T, Pop LM, Laine A, Iyengar P, Vitetta ES, Hannan R. Key role for neutrophils in radiation-induced antitumor immune responses: Potentiation with G-CSF. Proc Natl Acad Sci USA. 2016;113:11300–5.
  36. Zhang Y, Lee C, Geng S, Li L. Enhanced tumor immune surveillance through neutrophil reprogramming due to Tollip deficiency. JCI insight. 2019; 4.
  37. Dixon SJ, Lemberg KM, Lamprecht MR, Skouta R, Zaitsev EM, Gleason CE, et al. Ferroptosis: an iron-dependent form of nonapoptotic cell death. Cell. 2012;149:1060–72.
  38. Ireland AS, Oliver TG. Neutrophils Create an ImpeNETrable Shield between Tumor and Cytotoxic Immune Cells. Immunity. 2020;52:729–31.
  39. Arelaki S, Arampatzioglou A, Kambas K, Papagoras C, Miltiades P, Angelidou I, et al. Gradient Infiltration of Neutrophil Extracellular Traps in Colon Cancer and Evidence for Their Involvement in Tumour Growth. PloS one. 2016;11:e0154484.
  40. Wikberg ML, Ling A, Li X, Oberg A, Edin S, Palmqvist R. Neutrophil infiltration is a favorable prognostic factor in early stages of colon cancer. Human pathology. 2017;68:193–202.
  41. Berry RS, Xiong MJ, Greenbaum A, Mortaji P, Nofchissey RA, Schultz F, et al. High levels of tumor-associated neutrophils are associated with improved overall survival in patients with stage II colorectal cancer. PloS one. 2017;12:e0188799.
  42. Jensen TO, Schmidt H, Moller HJ, Donskov F, Hoyer M, Sjoegren P, et al. Intratumoral neutrophils and plasmacytoid dendritic cells indicate poor prognosis and are associated with pSTAT3 expression in AJCC stage I/II melanoma. Cancer. 2012;118:2476–85.
  43. Carus A, Ladekarl M, Hager H, Nedergaard BS, Donskov F. Tumour-associated CD66b + neutrophil count is an independent prognostic factor for recurrence in localised cervical cancer. British journal of cancer. 2013;108:2116–22.
  44. Rao HL, Chen JW, Li M, Xiao YB, Fu J, Zeng YX, et al. Increased intratumoral neutrophil in colorectal carcinomas correlates closely with malignant phenotype and predicts patients' adverse prognosis. PloS one. 2012;7:e30806.
  45. Trellakis S, Bruderek K, Dumitru CA, Gholaman H, Gu X, Bankfalvi A, et al. Polymorphonuclear granulocytes in human head and neck cancer: enhanced inflammatory activity, modulation by cancer cells and expansion in advanced disease. International journal of cancer. 2011;129:2183–93.

Tables

Table 1. Demographic and clinical data of 603 ESCC patients accroding to neutrophil change(Nc).

Charateristics 

Total (N=603), %

neutrophil change(Nc)

value

<2.60 (N=296), %

≥2.60 (N=307), %

Sex

Male

517 (85.7)

251 (84.8)

266 (86.6)

0.517 


Female

86 (14.3)

45 (15.2)

41 (13.4)

Age (years)

≤60

279 (46.3)

133 (44.9)

146 (47.6)

0.518 


>60

324 (53.7)

163 (55.1)

161 (52.4)

Pathology grade

Well differentiated

43 (7.1)

24 (8.1)

19 (6.2)

0.107 


middle differentiated

401 (66.5)

208 (70.3)

193 (62.9)


Poorly differentiated

145 (24.1)

59 (19.9)

86 (28.1)


Undifferentiated

2 (0.3)

1 (0.3)

1 (0.3)


Missing

12 (2.0)

4 (1.4)

8 (2.5)

Depth of tumor

T1a–1b

58 (9.6)

20 (6.8)

38 (12.4)

0.058 


T2

117 (19.4)

57 (19.3)

60 (19.5)


T3

428 (71.0)

219 (73.9)

209 (68.1)

Lymph node metastasis

N0

267 (44.3)

135 (45.6)

132 (43.0)

0.227 


N1

192 (31.8)

84 (28.4)

108 (35.2)


N2

102 (16.9)

57 (19.3)

45 (14.7)


N3

42 (7.0)

20 (6.7)

22 (7.1)

Pathological stage

1a–1b

105 (17.4)

50 (16.9)

55 (17.9)

0.700 


2a–2b

205 (34.0)

97 (32.8)

108 (35.2)


3a–3c

293 (48.6)

149 (50.3)

144 (46.9)

Vessel invasive

Yes

180 (29.9)

86 (29.1)

94 (30.6)

0.675 


No

423 (70.1)

210 (70.9)

213 (69.4)

Nerve infiltration

Yes

215 (35.7)

116 (39.2)

99 (32.2)

0.075 


No

388 (64.3)

180 (60.8)

208 (67.8)

Treatment regimen

S

408 (67.7)

205 (69.3)

203 (66.1)

0.317 


S plus postoperative C

137 (22.7)

68 (23.0)

69 (22.5)


S plus postoperative CRT

58 (9.6)

23 (7.7)

35 (11.4)

Pre-Neutrophil

Median 

3.5 (2.8-4.5)

3.9 (3.0-5.1)

5.0 (4.1-6.0)

<0.001

Post-Neutrophil

Median 

6.2 (5.0-7.6)

3.2 (2.7-3.9)

7.4 (6.5-8.6)

<0.001

Abbreviations: S, surgery; C, chemotherapy; CRT, chemoradiotherapy. 


 

Table 2.Overall survival analyses according to neutrophil change(Nc) in 603 patients with ESCC.

Variables

Univariate

Multivariate

HR 

95% CI 

P value

HR 

95% CI 

Pvalue

neutrophil change(Nc)(≥2.60 vs.<2.60)

0.694 

0.526-0.915

0.010 

0.720 

0.544-0.954

0.022 

Sex (male vs.female)

1.194 

0.791-1.802

0.399 




Age ( >60 vs.≤60)

1.122 

0.851-1.481

0.414 




Pathology grade







Well differentiated

0.139 

0.017-1.114

0.063 




middle differentiated

0.244 

0.034-1.753

0.161 




Poorly differentiated

0.353 

0.049-2.561

0.303 




Undifferentiated

1.000 






Depth of tumor







T1a–1b

0.501 

0.264-0.950

0.034 

0.511 

0.219-1.191

0.120 

T2

0.611 

0.416-0.897

0.012 

0.533 

0.273-1.041

0.066 

T3

1.000 



1.000 



Lymph node metastasis







N0

0.179 

0.114-0.281

<0.001

0.124 

0.041-0.377

<0.001

N1

0.300 

0.194-0.465

<0.001

0.295 

0.185-0.473

<0.001

N2

0.474 

0.299-0.753

0.002 

0.478 

0.299-0.762

0.002 

N3

1.000 






Pathological stage







1a–1b

0.355 

0.219-0.574

<0.001

2.701 

0.578-12.621

0.207 

2a–2b

0.449 

0.324-0.622

<0.001

1.509 

0.604-3.770

0.379 

3a–3c

1.000 



1.000 



Vessel invasive (absence vs. presence)

1.743 

1.313-2.314

<0.001

1.195 

0.881-1.621

0.253 

Nerve infiltration (absence vs. presence)

1.856 

1.407-2.449

<0.001

1.515 

1.131-2.031

0.005 

Treatment regimen







S

1.017 

0.636-1.626

0.945 




S plus postoperative C

1.098 

0.650-1.853

0.727 




S plus postoperative CRT

1.000