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World J Gastrointest Oncol. Aug 15, 2015; 7(8): 111-117
Published online Aug 15, 2015. doi: 10.4251/wjgo.v7.i8.111
Inflammation-based factors and prognosis in patients with colorectal cancer
Kiyoshi Maeda, Masatusne Shibutani, Hiroshi Otani, Hisashi Nagahara, Tetsuro Ikeya, Yasuhito Iseki, Hiroaki Tanaka, Kazuya Muguruma, Kosei Hirakawa, Department of Surgical Oncology, Osaka City University Graduate School of Medicine, Osaka 545-8585, Japan
Author contributions: All authors contributed to this manuscript.
Conflict-of-interest statement: There is no financial support or relationships that may pose any conflict of interest.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Kiyoshi Maeda, MD, Department of Surgical Oncology, Osaka City University Graduate School of Medicine, 1-4-3 Asahimachi, Abeno-ku, Osaka 545-8585, Japan. m1378386@med.osaka-cu.ac.jp
Telephone: +81-66-6453838 Fax: +81-66-6466450
Received: January 14, 2015
Peer-review started: January 16, 2015
First decision: April 24, 2015
Revised: April 30, 2015
Accepted: July 7, 2015
Article in press: July 8, 2015
Published online: August 15, 2015
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Abstract

Several parameters for predicting survival in patients with colorectal cancer have been identified, including the performance status, age, gender and tumor-node-metastasis (TNM) stage. Although the TNM stage is important and useful for predicting the prognosis and determining the appropriate treatment, it is well known that the survival time varies widely, even in patients with the same stage of disease. Therefore, the identification of new parameters capable of more precisely predicting patient survival is needed to help select the optimal treatment, especially in patients in the advanced stage of disease. Although the TNM stage reflects the tumor characteristics, cancer progression and survival are not determined solely based on the local characteristics of the tumor, but also the host systemic immune/inflammatory response. Therefore, using a combination of parameters that reflect both tumor characteristics and the host systemic inflammatory status is thought to be important for accurately predicting patient survival.

Key Words: Colorectal cancer; Platelet-to-lymphocyte ratio; Prognosis; Glasgow Prognostic Score; C-reactive protein; Neutrophil-to-lymphocyte ratio; Inflammation-based factor; Nutritional Prognostic Index

Core tip: Recently, it has become clear that an elevated systemic inflammatory response is consistently associated with a poor outcome, independent of the tumor stage. The inflammatory response is represented by the levels of serum neutrophils, lymphocytes and platelet s as well as acute-phase proteins and their combinations. These parameters are simple and easy to measure using widely available standardized assays. In this review, we discuss the prognostic value of various inflammation-based factors in patients with colorectal cancer.



INTRODUCTION

Colorectal cancer (CRC) is one of the most common causes of cancer-related death worldwide[1]. Approximately 20% of patients with CRC present with distant metastasis at the time of diagnosis[1], and the survival of patients with unresectable stage IV CRC is very poor, with a median survival time (MST) of approximately six to eight months among those who receive the best supportive care without chemotherapy[2]. However, due to the development of chemotherapeutic and molecular targeting agents, the survival time has improved dramatically within the last decade, with an MST of 24-30 mo[3-6].

Several parameters for predicting survival in patients with CRC have been identified, including patient characteristics, such as the performance status (PS), age and gender, and tumor characteristics, such as clinicopathological factors and the TNM stage. Although the stage determined according to the Union for International Cancer Control (UICC) TNM classification[7] is important and useful for predicting the prognosis and determining the appropriate treatment, it is well known that the survival time varies widely, even in patients with the same stage of disease. Therefore, the development of a new parameter able to more precisely predict the patient survival required to help select the optimal treatment, especially in patients with advanced disease. It has been reported that many molecular parameters (such as proteins involved in cell cycle regulation, apoptosis and angiogenesis or RAS/RAF mutations) are associated with survival[8-14]. However, measuring these molecular parameters requires sophisticated and expensive laboratory techniques.

It is now recognized that disease progression in cancer patients is determined not only by tumor characteristics, but also the host inflammatory response[15]. Moreover, it has become clear that an elevated systemic inflammatory response is consistently associated with a poor outcome independent of the tumor stage[16-18]. The inflammatory response is represented by the levels of serum white blood cells, neutrophils, lymphocytes and platelets and acute-phase proteins, such as C-reactive protein (CRP) and albumin. These parameters are simple and easy to measure using widely available standardized assays.

Recently, several combinations of these factors, including Glasgow Prognostic Score (GPS), neutrophil-to-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and prognostic nutritional index (PNI), have also been reported to be useful prognostic factors in various malignant solid tumors, including CRC (Table 1)[19-32].

Table 1 Previously reported correlations between various inflammation-based factors and the prognosis.
Inflammation-based factorsRef.YearTiming of measurementnTNM stagingTreatmentSurvival analysisSummary results
CRPNozoe et al[19]1998Preoperation120I-IVResectionOSPositive
Toiyama et al[20]2013Preoperation84I-IIIResection and CRTDFS, OSPositive
Shibutani et al[21]2014Preoperation144IVResection and CTPFS, OSPositive
GPSSugimoto et al[22]2012Preoperation166IIResectionOSPositive
Kishiki et al[23]2013Pretreatment79IVCTOSPositive
Ishizuka et al[24]2013Preoperation108IVResectionOSPositive
NLRChua et al[26]2011Pre and post treatment171IVCTOSPositive
Chua et al[26]2011Preoperation674I-IVResectionOSPositive
Li et al[27]2014--Meta-analysis-DFS, OSPositive
OPNINozoe et al[28]2012Preoperation219I-IVResectionOSPositive
Maeda et al[29]2014Preoperation100IVResection and CTOSPositive
Ikeya et al[30]2014Pre and post treatment80IVCTOSPositive
PLR, NLRKwon et al[31]2012Preoperation200I-IIIResectionOSPositive
GPS, NLRMaeda et al[32]2013Preoperation94IVresection and CTOSPositive

The aim of this review was to examine the value of various inflammation-based factors as useful prognostic factors in patients with CRC.

CRP LEVEL

CRP is an acute-phase protein synthesized in hepatocytes whose serum level increases in response to inflammatory disease[33,34]. Cancer growth also induces a tissue inflammatory response, and thus increases the serum CRP level. Elevation of the serum CRP concentration reflects a state of hyper-cytokinemia, as the CRP level is upregulated by proinflammatory cytokines, such as interleukin (IL)-1, IL-6 and tumor necrosis factor (TNF)[33,34]. These cytokines have the ability to promote tumor growth and metastasis and play a role in tumor progression.

Many investigators have reported that a high level of serum CRP significantly correlates with poor survival in patients with CRC treated with curative surgery[19-21]. Nozoe et al19] reported that the preoperative elevation of CRP was related to recurrence after curative resection for CRC. Toiyama et al[20] reported a correlation between elevated CRP and recurrence in patients with rectal cancer undergoing chemoradiotherapy followed by surgery. We investigated the correlation between serum CRP levels and the prognosis of patients with stage IV CRC who underwent the palliative resection of their primary tumor[20]. We found that a high preoperative serum CRP level was a convenient marker for identifying the stage IV CRC patients with a poor prognosis.

GPS

GPS, which is also an inflammation-based factor, is defined according to the presence of an elevated serum CRP level and hypoalbuminemia. Briefly, patients with both an elevated CRP level (> 1.0 mg/dL) and hypoalbuminemia (< 3.5 g/dL) are allocated a score of 2. Patients in whom only one of these biochemical abnormalities is present are allocated a score of 1 and those in whom neither of these abnormalities are present are allocated a score of 0[17,18]. This score has been shown to be a prognostic indicator, independent of the tumor stage, in a variety of gastrointestinal cancers[22-24,35,36]. Sugimoto et al[22] examined patients with stage II CRC who underwent a curative resection and reported that the cancer specific survival was significantly worse in the patients with a GPS of 2 than in those with a GPS of 1 or 0. Proctor et al[35] also reported that a raised GPS was associated with reduced overall survival and cancer specific survival in CRC patients, independent of age, gender and Dukes’ stage. Moreover, GPS of 2 has been reported to be an independent significant prognostic factor, even in patients with unresectable stage IV CRC[23,24]. Ishizuka et al[24] reported a correlation between GPS and chemotherapy tolerance and noted that it would be useful for deciding the indications for palliative surgery or preoperative chemotherapy.

Neutrophil-to-lymphocyte ratio

The neutrophil-to-lymphocyte ratio (NLR), calculated as the neutrophil count divided by the lymphocyte count, is suggested to be a marker of general immune response to various stress stimuli. Initially, the NLR was described to be correlated with the severity of the clinical course of severely ill patients in the intensive care unit by Zahorec et al[37].

Neutrophils play a key role in tumor proliferation, producing a number of ligands that induce tumor cell proliferation and invasion and promoting tumor vascularization by releasing proangiogenic chemokines and other factors[38,39]. Therefore, increased neutrophils may promote tumor growth and metastasis. On the other hand, lymphocytes play a key role in tumor suppression[40]. The function of lymphocytes is to induce cytotoxic cell death and the production of cytokines in cancer cells[40]. A decrease in the number of lymphocytes impairs the host’s antitumor immune response and confers a poor prognosis[25]. NLR can therefore be considered as a balance between the pro-tumor inflammation status and the anti-tumor immune status. Although the cut-off values varied between 2.5 to 5 in the previous reports[25-27], emerging evidence shows that an elevated NLR is significantly associated with poor prognosis in patients with CRC. We analyzed 674 CRC patients who underwent surgery and used a receiver operating characteristic curve to determine an appropriate cut-off value[25]. As a result, an NLR > 2.5 was a significant independent predictive factor for cancer-specific survival. With respect to patients with unresectable stage IV CRC, Chua et al[26] examined 349 patients with unresectable CRC who received first-line palliative chemotherapy and reported that the prognosis of patients with an NLR of > 5 was significantly worse than the prognosis of the patients with an NLR of < 5. They also reported that a high NLR resulted in a reduced response to chemotherapy and that the reduction of NLR after one cycle of chemotherapy in a subset of patients resulted in improved survival. Li et al[27] performed a meta-analysis of CRC patients and concluded that the NLR is an inexpensive, widely available and reproducible index that is closely associated with survival. Because a peripheral blood cell count is a quick and easy assay to perform, NLR is a useful marker for identifying patients with a poor prognosis and allows for the planning of more frequent surveillance and intensive therapy in patients with unresectable stage IV CRC.

Platelet-to-lymphocyte ratio

Malignant solid tumors commonly induce a hypercoagulable state, resulting in a predisposition to thromboembolic events[41,42]. Reactive thrombocytosis is induced against a background of hypercytokinemia via tumor vs host interactions[43]. Among several inflammatory cytokines, IL-6 has an important role in the onset of reactive thrombocytosis, as it is a multifunctional cytokine with a number of physiological actions, stimulating not only CRP up-regulation but also albumin down-regulation in the liver, as well as protein synthesis[44]. Similarly, IL-6 has a cell-proliferative effect, triggering the differentiation of megakaryocytes to platelets in the bone marrow[44]. Hence, it is reasonable that reactive thrombocytosis would be associated with the survival of patients with malignant tumors.

As previously described, lymphocytopenia has shown to be associated with poor survival. Therefore, the platelet-to-lymphocyte ratio (PLR) is also thought to be a powerful prognostic factor in patients with malignant tumors. Indeed, PLR is an independent prognostic factor, in addition to other inflammation-based factors, for pancreatic ductal adenocarcinoma according to Smith et al[45], ovarian cancer according to Raungkaewmanee et al[46], and CRC accrding to Kwon et al[31].

Nutritional Prognostic Index

The inflammatory response has been proposed to be pathogenic with respect to the development of cancer-associated malnutrition[47]. Several studies have reported that patients with advanced gastrointestinal malignancies are often malnourished, and that the preoperative nutritional status is associated with postoperative complications, tumor progression and a poor clinical outcome[48,49]. There are several assessment tools for evaluating the nutritional status, including the malnutrition universal screening tool (MUST), nutritional risk scoring 2002 (NRS2002) and mini nutritional assessment[50,51]. These tools are simple, well-validated and cost-effective and are widely utilized to assess the nutritional status of cancer patients. Onodera’s Prognostic Nutritional Index (OPNI) is another such tool and a simple index that can be calculated using only two parameters, the serum albumin level and total lymphocyte count (TLC)[52]. The OPNI is calculated using the following formula: 10 × serum albumin concentration (g/dL) + 0.005 × lymphocyte count (number/mm2) in the peripheral blood. Albumin is a main component of plasma proteins that preserves the colloid osmotic pressure, and its level reflects the nutritional status. The TLC has also been proposed to be a useful indicator of the nutritional, as well as host inflammatory status. Both albumin and TLC levels are routinely examined in daily clinical practice. Therefore, the OPNI, which reflects the immunonutritional status, is thought to be a useful and convenient index for predicting tumor progression and survival in patients with malignancy.

Regarding the prognosis, Nozoe et al[28] reported that the OPNI is significantly correlated with the prognosis of patients with CRC. The above study examined patients who underwent curative surgery. Therefore, we thought to clarify the prognostic value of the OPNI in patients with unresectable stage IV CRC[29]. Initially, we examined patients who underwent palliative resection of the primary tumor. The result revealed that a low-OPNI is an independent predictor of a worse prognosis, even in patients limited to stage IV CRC disease. In particular, the MST of the patients with a low-OPNI was 9.5 mo, which was shorter than that reported for patients with stage IV CRC treated with chemotherapy alone. Therefore, although the necessity of palliative resection in patients with asymptomatic primary tumors and unresectable stage IV CRC remains controversial, measuring the OPNI may be useful for selecting patients expected to receive a survival benefit associated with palliative resection.

It has been reported that malnutrition results in the loss of lean body mass, an impaired immune function, a reduced rate of response to chemotherapy and poor survival[53]. Therefore, we evaluated the clinical significance of the OPNI among patients with unresectable stage IV CRC treated with chemotherapy[30]. We collected data from blood tests conducted within one week prior to the start of the first-line chemotherapy and at eight weeks after the first day of chemotherapy. As a result, the overall survival of the patients with a high pretreatment OPNI was significantly (P = 0.005) better than that of the patients with a low pretreatment OPNI; the MST was 37 and 22.8 mo, respectively. Moreover, when we categorized the patients into four groups according to the combination of the pre- and post-treatment OPNI values, only the group who maintained a high OPNI had a better prognosis than the other groups, and a decrease in the OPNI after chemotherapy was associated with a worse survival, even in the patients with a high pretreatment OPNI value. Therefore, it is important to maintain a good nutritional and immune status before and during treatment in patients receiving chemotherapy. It has also been reported that nutritional interventions may improve the immunonutritional system, response to chemotherapy and patient survival[54-56]. Such nutritional interventions should be implemented in order to improve the survival of patients with a low- OPNI.

COMBINATION OF CLINICOPATHOLOGICAL AND INFLAMMATION-BASED FACTORS

The current report of inflammation-based factors is by no means exhaustive, although we wish to provide an overview of the topic in order to help guide the management of CRC patients. Both clinicopathological and inflammation-based parameters are independent powerful prognostic factors; therefore, the user of a combination of these factors may have more precise clinical, prognostic and therapeutic value compared to a single factor.

From the above point of view, Laird et al[17] reported that the GPS is similar to the PS in terms of prognostic power and that the combination of these factors may have a potential role in effectively predicting survival.

We investigated the correlation between clinicopathological factors, the GPS, NLR and prognosis in order to identify parameters useful for selecting stage IV CRC patients with a poor prognosis. As a result, the GPS, NLR, performance status (PS) and extent of distant metastasis were found to be independent predictors of survival[32]. We classified the patients, using a combination of four prognostic factors, into three risk groups: patients without any prognostic factors (the low-risk group), patients with one or two prognostic factors (the intermediate-risk group) and patients with three or four prognostic factors (the high-risk group). There were significant (P < 0.0001) differences in the postoperative cancer specific survival rates among the three groups. The median survival time (MST) was only five months in the high-risk group, compared to 21.5 mo in the intermediate-risk group and 37 mo in the low-risk group. The MST of the high-risk group was five months, which was very short and similar to that reported for patients with stage IV CRC who received the best supportive care without surgery or chemotherapy. Therefore, there may be no survival benefit associated with palliative resection in the high-risk group. On the other hand, relatively better survival is expected in the low-risk group. This risk classification is simple and easy to use and may be helpful for determining the optimal treatment for patients with stage IV CRC.

CONCLUSION

Conventional clinicopathological factors are currently widely- used and important prognostic factors for patients with CRC. However, these factors are not universally helpful for predicting the prognosis in patients within the same stage of disease. Inflammation-based factors are determined based on laboratory data that are routinely recorded in the clinical setting and can be easily estimated prior to treatment.

Although clinicopathological factors reflect the tumor characteristics, cancer progression and survival are not determined solely according to the local characteristics of the tumor, but also the host systemic immune/inflammatory response. Therefore, the application of a combination of these parameters reflecting both the tumor characteristics and host systemic inflammatory status is important for predicting patient survival more precisely and selecting the optimal treatment in patients with CRC.

Footnotes

P- Reviewer: Li Q, Pang Y S- Editor: Yu J L- Editor: A E- Editor: Jiao XK

References
1.  Ries LA, Wingo PA, Miller DS, Howe HL, Weir HK, Rosenberg HM, Vernon SW, Cronin K, Edwards BK. The annual report to the nation on the status of cancer, 1973-1997, with a special section on colorectal cancer. Cancer. 2000;88:2398-2424.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 9]  [Reference Citation Analysis (0)]
2.  Simmonds PC. Palliative chemotherapy for advanced colorectal cancer: systematic review and meta-analysis. Colorectal Cancer Collaborative Group. BMJ. 2000;321:531-535.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 362]  [Cited by in F6Publishing: 363]  [Article Influence: 15.1]  [Reference Citation Analysis (0)]
3.  Grothey A, Sargent D, Goldberg RM, Schmoll HJ. Survival of patients with advanced colorectal cancer improves with the availability of fluorouracil-leucovorin, irinotecan, and oxaliplatin in the course of treatment. J Clin Oncol. 2004;22:1209-1214.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 800]  [Cited by in F6Publishing: 783]  [Article Influence: 39.2]  [Reference Citation Analysis (1)]
4.  Saltz LB, Clarke S, Díaz-Rubio E, Scheithauer W, Figer A, Wong R, Koski S, Lichinitser M, Yang TS, Rivera F. Bevacizumab in combination with oxaliplatin-based chemotherapy as first-line therapy in metastatic colorectal cancer: a randomized phase III study. J Clin Oncol. 2008;26:2013-2019.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2302]  [Cited by in F6Publishing: 2240]  [Article Influence: 140.0]  [Reference Citation Analysis (0)]
5.  Van Cutsem E, Köhne CH, Hitre E, Zaluski J, Chang Chien CR, Makhson A, D’Haens G, Pintér T, Lim R, Bodoky G. Cetuximab and chemotherapy as initial treatment for metastatic colorectal cancer. N Engl J Med. 2009;360:1408-1417.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2901]  [Cited by in F6Publishing: 3063]  [Article Influence: 204.2]  [Reference Citation Analysis (1)]
6.  Chibaudel B, Tournigand C, André T, de Gramont A. Therapeutic strategy in unresectable metastatic colorectal cancer. Ther Adv Med Oncol. 2012;4:75-89.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 56]  [Cited by in F6Publishing: 61]  [Article Influence: 5.1]  [Reference Citation Analysis (0)]
7.  Sobin L, Gospodarowicz M, Wittekind C.  International against Cancer. TNM classification of malignant tumors, 7th ed. New York: Wiley-Blackwell 2009; 73-77.  [PubMed]  [DOI]  [Cited in This Article: ]
8.  Kang SM, Maeda K, Onoda N, Chung YS, Nakata B, Nishiguchi Y, Sowa M. Combined analysis of p53 and vascular endothelial growth factor expression in colorectal carcinoma for determination of tumor vascularity and liver metastasis. Int J Cancer. 1997;74:502-507.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 3]  [Reference Citation Analysis (0)]
9.  Maeda K, Chung YS, Takatsuka S, Ogawa Y, Sawada T, Yamashita Y, Onoda N, Kato Y, Nitta A, Arimoto Y. Tumor angiogenesis as a predictor of recurrence in gastric carcinoma. J Clin Oncol. 1995;13:477-481.  [PubMed]  [DOI]  [Cited in This Article: ]
10.  Giatromanolaki A, Sivridis E, Koukourakis MI. Angiogenesis in colorectal cancer: prognostic and therapeutic implications. Am J Clin Oncol. 2006;29:408-417.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 58]  [Cited by in F6Publishing: 61]  [Article Influence: 3.4]  [Reference Citation Analysis (0)]
11.  Ilyas M, Straub J, Tomlinson IP, Bodmer WF. Genetic pathways in colorectal and other cancers. Eur J Cancer. 1999;35:335-351.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 103]  [Cited by in F6Publishing: 105]  [Article Influence: 4.2]  [Reference Citation Analysis (0)]
12.  Arteaga C. Targeting HER1/EGFR: a molecular approach to cancer therapy. Semin Oncol. 2003;30:3-14.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 178]  [Cited by in F6Publishing: 178]  [Article Influence: 8.5]  [Reference Citation Analysis (0)]
13.  Tol J, Nagtegaal ID, Punt CJ. BRAF mutation in metastatic colorectal cancer. N Engl J Med. 2009;361:98-99.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 394]  [Cited by in F6Publishing: 393]  [Article Influence: 26.2]  [Reference Citation Analysis (0)]
14.  Karapetis CS, Khambata-Ford S, Jonker DJ, O’Callaghan CJ, Tu D, Tebbutt NC, Simes RJ, Chalchal H, Shapiro JD, Robitaille S. K-ras mutations and benefit from cetuximab in advanced colorectal cancer. N Engl J Med. 2008;359:1757-1765.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2724]  [Cited by in F6Publishing: 2723]  [Article Influence: 170.2]  [Reference Citation Analysis (0)]
15.  Lu H, Ouyang W, Huang C. Inflammation, a key event in cancer development. Mol Cancer Res. 2006;4:221-233.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 706]  [Cited by in F6Publishing: 734]  [Article Influence: 40.8]  [Reference Citation Analysis (0)]
16.  Roxburgh CS, McMillan DC. Cancer and systemic inflammation: treat the tumour and treat the host. Br J Cancer. 2014;110:1409-1412.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 215]  [Cited by in F6Publishing: 252]  [Article Influence: 25.2]  [Reference Citation Analysis (0)]
17.  Laird BJ, Kaasa S, McMillan DC, Fallon MT, Hjermstad MJ, Fayers P, Klepstad P. Prognostic factors in patients with advanced cancer: a comparison of clinicopathological factors and the development of an inflammation-based prognostic system. Clin Cancer Res. 2013;19:5456-5464.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 110]  [Cited by in F6Publishing: 153]  [Article Influence: 13.9]  [Reference Citation Analysis (0)]
18.  McMillan DC. The systemic inflammation-based Glasgow Prognostic Score: a decade of experience in patients with cancer. Cancer Treat Rev. 2013;39:534-540.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 765]  [Cited by in F6Publishing: 960]  [Article Influence: 80.0]  [Reference Citation Analysis (0)]
19.  Nozoe T, Matsumata T, Kitamura M, Sugimachi K. Significance of preoperative elevation of serum C-reactive protein as an indicator for prognosis in colorectal cancer. Am J Surg. 1998;176:335-338.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 163]  [Cited by in F6Publishing: 180]  [Article Influence: 6.9]  [Reference Citation Analysis (0)]
20.  Toiyama Y, Inoue Y, Saigusa S, Kawamura M, Kawamoto A, Okugawa Y, Hiro J, Tanaka K, Mohri Y, Kusunoki M. C-reactive protein as predictor of recurrence in patients with rectal cancer undergoing chemoradiotherapy followed by surgery. Anticancer Res. 2013;33:5065-5074.  [PubMed]  [DOI]  [Cited in This Article: ]
21.  Shibutani M, Maeda K, Nagahara H, Noda E, Ohtani H, Nishiguchi Y, Hirakawa K. Prognostic significance of the preoperative serum C-reactive protein level in patients with stage IV colorectal cancer. Surg Today. 2015;45:315-321.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 12]  [Cited by in F6Publishing: 18]  [Article Influence: 1.8]  [Reference Citation Analysis (0)]
22.  Sugimoto K, Komiyama H, Kojima Y, Goto M, Tomiki Y, Sakamoto K. Glasgow prognostic score as a prognostic factor in patients undergoing curative surgery for colorectal cancer. Dig Surg. 2012;29:503-509.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 26]  [Cited by in F6Publishing: 27]  [Article Influence: 2.5]  [Reference Citation Analysis (0)]
23.  Kishiki T, Masaki T, Matsuoka H, Kobayashi T, Suzuki Y, Abe N, Mori T, Sugiyama M. Modified Glasgow prognostic score in patients with incurable stage IV colorectal cancer. Am J Surg. 2013;206:234-240.  [PubMed]  [DOI]  [Cited in This Article: ]
24.  Ishizuka M, Nagata H, Takagi K, Iwasaki Y, Kubota K. Inflammation-based prognostic system predicts survival after surgery for stage IV colorectal cancer. Am J Surg. 2013;205:22-28.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 21]  [Cited by in F6Publishing: 20]  [Article Influence: 1.7]  [Reference Citation Analysis (0)]
25.  Shibutani M, Maeda K, Nagahara H, Noda E, Ohtani H, Nishiguchi Y, Hirakawa K. A high preoperative neutrophil-to-lymphocyte ratio is associated with poor survival in patients with colorectal cancer. Anticancer Res. 2013;33:3291-3294.  [PubMed]  [DOI]  [Cited in This Article: ]
26.  Chua W, Charles KA, Baracos VE, Clarke SJ. Neutrophil/lymphocyte ratio predicts chemotherapy outcomes in patients with advanced colorectal cancer. Br J Cancer. 2011;104:1288-1295.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 335]  [Cited by in F6Publishing: 356]  [Article Influence: 27.4]  [Reference Citation Analysis (0)]
27.  Li MX, Liu XM, Zhang XF, Zhang JF, Wang WL, Zhu Y, Dong J, Cheng JW, Liu ZW, Ma L. Prognostic role of neutrophil-to-lymphocyte ratio in colorectal cancer: a systematic review and meta-analysis. Int J Cancer. 2014;134:2403-2413.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 273]  [Cited by in F6Publishing: 314]  [Article Influence: 31.4]  [Reference Citation Analysis (0)]
28.  Nozoe T, Kohno M, Iguchi T, Mori E, Maeda T, Matsukuma A, Ezaki T. The prognostic nutritional index can be a prognostic indicator in colorectal carcinoma. Surg Today. 2012;42:532-535.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 144]  [Cited by in F6Publishing: 168]  [Article Influence: 12.9]  [Reference Citation Analysis (0)]
29.  Maeda K, Shibutani M, Otani H, Nagahara H, Sugano K, Ikeya T, Kubo N, Amano R, Kimura K, Muguruma K. Low nutritional prognostic index correlates with poor survival in patients with stage IV colorectal cancer following palliative resection of the primary tumor. World J Surg. 2014;38:1217-1222.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 42]  [Cited by in F6Publishing: 47]  [Article Influence: 4.7]  [Reference Citation Analysis (0)]
30.  Ikeya T, Shibutani M, Maeda K, Sugano K, Nagahara H, Ohtani H, Hirakawa K. Maintenance of the nutritional prognostic index predicts survival in patients with unresectable metastatic colorectal cancer. J Cancer Res Clin Oncol. 2015;141:307-313.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 43]  [Cited by in F6Publishing: 45]  [Article Influence: 4.5]  [Reference Citation Analysis (0)]
31.  Kwon HC, Kim SH, Oh SY, Lee S, Lee JH, Choi HJ, Park KJ, Roh MS, Kim SG, Kim HJ. Clinical significance of preoperative neutrophil-lymphocyte versus platelet-lymphocyte ratio in patients with operable colorectal cancer. Biomarkers. 2012;17:216-222.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 252]  [Cited by in F6Publishing: 295]  [Article Influence: 24.6]  [Reference Citation Analysis (0)]
32.  Maeda K, Shibutani M, Otani H, Nagahara H, Sugano K, Ikeya T, Amano R, Kimura K, Sakurai K, Kubo N. Prognostic value of preoperative inflammation-based prognostic scores in patients with stage IV colorectal cancer who undergo palliative resection of asymptomatic primary tumors. Anticancer Res. 2013;33:5567-5573.  [PubMed]  [DOI]  [Cited in This Article: ]
33.  Miki C, Konishi N, Ojima E, Hatada T, Inoue Y, Kusunoki M. C-reactive protein as a prognostic variable that reflects uncontrolled up-regulation of the IL-1-IL-6 network system in colorectal carcinoma. Dig Dis Sci. 2004;49:970-976.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 80]  [Cited by in F6Publishing: 80]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]
34.  Nikiteas NI, Tzanakis N, Gazouli M, Rallis G, Daniilidis K, Theodoropoulos G, Kostakis A, Peros G. Serum IL-6, TNFalpha and CRP levels in Greek colorectal cancer patients: prognostic implications. World J Gastroenterol. 2005;11:1639-1643.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in CrossRef: 103]  [Cited by in F6Publishing: 114]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
35.  Proctor MJ, Morrison DS, Talwar D, Balmer SM, Fletcher CD, O’Reilly DS, Foulis AK, Horgan PG, McMillan DC. A comparison of inflammation-based prognostic scores in patients with cancer. A Glasgow Inflammation Outcome Study. Eur J Cancer. 2011;47:2633-2641.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 483]  [Cited by in F6Publishing: 578]  [Article Influence: 44.5]  [Reference Citation Analysis (0)]
36.  Furukawa K, Shiba H, Haruki K, Fujiwara Y, Iida T, Mitsuyama Y, Ogawa M, Ishida Y, Misawa T and Yanaga K. The Glasgow prognostic score is valuable for colorectal cancer with both synchronous and metachronous unresectable liver metastases. Oncol Lett. 2012;4:324-328.  [PubMed]  [DOI]  [Cited in This Article: ]
37.  Zahorec R. Ratio of neutrophil to lymphocyte counts--rapid and simple parameter of systemic inflammation and stress in critically ill. Bratisl Lek Listy. 2001;102:5-14.  [PubMed]  [DOI]  [Cited in This Article: ]
38.  Tazzyman S, Lewis CE, Murdoch C. Neutrophils: key mediators of tumour angiogenesis. Int J Exp Pathol. 2009;90:222-231.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 238]  [Cited by in F6Publishing: 230]  [Article Influence: 15.3]  [Reference Citation Analysis (0)]
39.  Gregory AD, Houghton AM. Tumor-associated neutrophils: new targets for cancer therapy. Cancer Res. 2011;71:2411-2416.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 456]  [Cited by in F6Publishing: 508]  [Article Influence: 39.1]  [Reference Citation Analysis (0)]
40.  Huber C, Bobek N, Kuball J, Thaler S, Hoffarth S, Huber C, Theobald M, Schuler M. Inhibitors of apoptosis confer resistance to tumour suppression by adoptively transplanted cytotoxic T-lymphocytes in vitro and in vivo. Cell Death Differ. 2005;12:317-325.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 31]  [Cited by in F6Publishing: 35]  [Article Influence: 1.8]  [Reference Citation Analysis (0)]
41.  Ishizuka M, Nagata H, Takagi K, Iwasaki Y, Kubota K. Preoperative thrombocytosis is associated with survival after surgery for colorectal cancer. J Surg Oncol. 2012;106:887-891.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 56]  [Cited by in F6Publishing: 61]  [Article Influence: 5.1]  [Reference Citation Analysis (0)]
42.  Monreal M, Fernandez-Llamazares J, Piñol M, Julian JF, Broggi M, Escola D, Abad A. Platelet count and survival in patients with colorectal cancer--a preliminary study. Thromb Haemost. 1998;79:916-918.  [PubMed]  [DOI]  [Cited in This Article: ]
43.  Alexandrakis MG, Passam FH, Moschandrea IA, Christophoridou AV, Pappa CA, Coulocheri SA, Kyriakou DS. Levels of serum cytokines and acute phase proteins in patients with essential and cancer-related thrombocytosis. Am J Clin Oncol. 2003;26:135-140.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 96]  [Cited by in F6Publishing: 113]  [Article Influence: 5.4]  [Reference Citation Analysis (0)]
44.  Kaser A, Brandacher G, Steurer W, Kaser S, Offner FA, Zoller H, Theurl I, Widder W, Molnar C, Ludwiczek O. Interleukin-6 stimulates thrombopoiesis through thrombopoietin: role in inflammatory thrombocytosis. Blood. 2001;98:2720-2725.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 420]  [Cited by in F6Publishing: 434]  [Article Influence: 18.9]  [Reference Citation Analysis (0)]
45.  Smith RA, Bosonnet L, Raraty M, Sutton R, Neoptolemos JP, Campbell F, Ghaneh P. Preoperative platelet-lymphocyte ratio is an independent significant prognostic marker in resected pancreatic ductal adenocarcinoma. Am J Surg. 2009;197:466-472.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 294]  [Cited by in F6Publishing: 339]  [Article Influence: 21.2]  [Reference Citation Analysis (0)]
46.  Raungkaewmanee S, Tangjitgamol S, Manusirivithaya S, Srijaipracharoen S, Thavaramara T. Platelet to lymphocyte ratio as a prognostic factor for epithelial ovarian cancer. J Gynecol Oncol. 2012;23:265-273.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 150]  [Cited by in F6Publishing: 177]  [Article Influence: 14.8]  [Reference Citation Analysis (0)]
47.  Delmore G. Assessment of nutritional status in cancer patients: widely neglected? Support Care Cancer. 1997;5:376-380.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 47]  [Cited by in F6Publishing: 52]  [Article Influence: 1.9]  [Reference Citation Analysis (0)]
48.  Watanabe M, Iwatsuki M, Iwagami S, Ishimoto T, Baba Y, Baba H. Prognostic nutritional index predicts outcomes of gastrectomy in the elderly. World J Surg. 2012;36:1632-1639.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 92]  [Cited by in F6Publishing: 101]  [Article Influence: 8.4]  [Reference Citation Analysis (0)]
49.  Nozoe T, Kimura Y, Ishida M, Saeki H, Korenaga D, Sugimachi K. Correlation of pre-operative nutritional condition with post-operative complications in surgical treatment for oesophageal carcinoma. Eur J Surg Oncol. 2002;28:396-400.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 165]  [Cited by in F6Publishing: 179]  [Article Influence: 8.1]  [Reference Citation Analysis (0)]
50.  Boléo-Tomé C, Monteiro-Grillo I, Camilo M, Ravasco P. Validation of the Malnutrition Universal Screening Tool (MUST) in cancer. Br J Nutr. 2012;108:343-348.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 88]  [Cited by in F6Publishing: 101]  [Article Influence: 7.8]  [Reference Citation Analysis (0)]
51.  Kondrup J, Allison SP, Elia M, Vellas B, Plauth M. ESPEN guidelines for nutrition screening 2002. Clin Nutr. 2003;22:415-421.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1802]  [Cited by in F6Publishing: 1814]  [Article Influence: 86.4]  [Reference Citation Analysis (0)]
52.  Onodera T, Goseki N, Kosaki G. [Prognostic nutritional index in gastrointestinal surgery of malnourished cancer patients]. Nihon Geka Gakkai Zasshi. 1984;85:1001-1005.  [PubMed]  [DOI]  [Cited in This Article: ]
53.  Dewys WD, Begg C, Lavin PT, Band PR, Bennett JM, Bertino JR, Cohen MH, Douglass HO, Engstrom PF, Ezdinli EZ. Prognostic effect of weight loss prior to chemotherapy in cancer patients. Eastern Cooperative Oncology Group. Am J Med. 1980;69:491-497.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1682]  [Cited by in F6Publishing: 1562]  [Article Influence: 35.5]  [Reference Citation Analysis (0)]
54.  Ross PJ, Ashley S, Norton A, Priest K, Waters JS, Eisen T, Smith IE, O’Brien ME. Do patients with weight loss have a worse outcome when undergoing chemotherapy for lung cancers? Br J Cancer. 2004;90:1905-1911.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 295]  [Cited by in F6Publishing: 308]  [Article Influence: 15.4]  [Reference Citation Analysis (0)]
55.  Burden ST, Hill J, Shaffer JL, Todd C. Nutritional status of preoperative colorectal cancer patients. J Hum Nutr Diet. 2010;23:402-407.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 98]  [Cited by in F6Publishing: 102]  [Article Influence: 7.3]  [Reference Citation Analysis (0)]
56.  Murry DJ, Riva L, Poplack DG. Impact of nutrition on pharmacokinetics of anti-neoplastic agents. Int J Cancer Suppl. 1998;11:48-51.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in F6Publishing: 3]  [Reference Citation Analysis (0)]