Literature DB >> 29789606

The prognostic value of systemic inflammation in patients undergoing surgery for colon cancer: comparison of composite ratios and cumulative scores.

Ross D Dolan1, Stephen T McSorley2, James H Park2, David G Watt2, Campbell S Roxburgh2, Paul G Horgan2, Donald C McMillan2.   

Abstract

INTRODUCTION: The systemic inflammatory response has been proven to have a prognostic value. There are two methods of assessing the systemic inflammatory response composite ratios (R) and cumulative scores (S). The aim of this study was to compare the prognostic value of ratios and scores in patients undergoing surgery for colon cancer.
METHODS: Patients were identified prospectively in a single surgical unit. Preoperative neutrophil (N), lymphocyte (L), monocyte (M) and platelet (P) counts, CRP (C) and albumin (A) levels were recorded. The relationship between composite ratios neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), lymphocyte-monocyte ratio (LMR), C-reactive protein albumin ratio (CAR) and the cumulative scores neutrophil- lymphocyte score (NLS), platelet-lymphocyte score (PLS), lymphocyte-monocyte score (LMS), neutrophil- platelet score (NPS), modified Glasgow prognostic score (mGPS) and clinicopathological characteristics, cancer-specific survival (CSS) and overall survival (OS), were examined.
RESULTS: A total of 801 patients were examined. When adjusted for tumour node metastasis (TNM) stage, NLR >5 (p < 0.001), NLS (p < 0.01), PLS (p < 0.001), LMR <2.4 (p < 0.001), LMS (p < 0.001), NPS (p < 0.001), CAR >0.22 (p < 0.001) and mGPS (p < 0.001) were significantly associated with CSS. In patients undergoing elective surgery (n = 689), the majority of the composite ratios/scores correlated with age (p < 0.01), BMI (p < 0.01), T stage (p < 0.01), venous invasion (p < 0.01) and peritoneal involvement (p < 0.01). When NPS (myeloid) and mGPS (liver) were directly compared, their relationship with CSS and OS was similar.
CONCLUSIONS: Both composite ratios and cumulative scores had prognostic value, independent of TNM stage, in patients with colon cancer. However, cumulative scores, based on normal reference ranges, are simpler and more consistent for clinical use.

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Year:  2018        PMID: 29789606      PMCID: PMC6035216          DOI: 10.1038/s41416-018-0095-9

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Introduction

Colorectal cancer is the fourth most common cancer in the United Kingdom and the second most common cause of cancer death.[1] Despite death rates from colorectal cancer falling by approximately 14% over the last decade, approximately 40% of those diagnosed will die from their colorectal cancer. Surgery remains the primary modality of cure in these patients and therefore there is a continuing interest in factors that will effectively identify patients at high risk of dying from their disease following potentially curative surgery. Over the last decade or so it has become clear that markers of the systemic inflammatory response are clinically useful to identify patients at high risk of tumour progression in a variety of common solid tumours, in particular lung and gastrointestinal cancer.[2,3] These markers of the systemic inflammatory response are usually based around composite ratios or cumulative scores of different circulating white blood cells or acute phase proteins representing the systemic responses of two different organs, lymphoid/myeloid tissue and liver, respectively (Table 1). There have been two main approaches to the formation of these prognostic scores. One approach is to take the ratio of different white blood cells and then apply a prognostic threshold to the ratio such that outcome is effectively stratified. The most repeatedly validated example of this approach is the neutrophil–lymphocyte ratio (NLR) based on the ratio of circulating neutrophil and lymphocyte counts (Table 1).[2,3] Other validated examples are the platelet–lymphocyte ratio (PLR) based on the ratio of circulating platelet and lymphocyte counts (Table 1) and the lymphocyte–monocyte score (LMR) based on the ratio of circulating lymphocyte and monocyte counts (Table 1).[2,3] Also, recently a similar approach has been applied to the acute phase proteins, C-reactive protein and albumin, and C-reactive protein albumin ratio (CAR) has been recently validated (Table 1).[2,3] Although it is clear that the above ratios have prognostic value, a disadvantage of the ratio approach is that, depending on the threshold used, an abnormal ratio may be defined with one or both markers having a normal value.
Table 1

Systemic inflammation-based prognostic ratios and scores

Ratio/scoreRatio/score
NLR
 Neutrophil count: lymphocyte count≤3
 Neutrophil count: lymphocyte count3–5
 Neutrophil count: lymphocyte count>5
NLS
 Neutrophil count ≤7.5 × 109/l and lymphocyte count ≥1.5 × 109/l0
 Neutrophil count >7.5 × 109/l and lymphocyte count ≥1.5 × 109/l1
 Neutrophil count ≤7.5 × 109/l and lymphocyte count <1.5 × 109/l1
 Neutrophil count >7.5 × 109/l and lymphocyte count <1.5 × 109/l2
PLR
 Platelet count: lymphocyte count≤150
 Platelet count: lymphocyte count>150
PLS
 Platelet count ≤400 × 109/l and lymphocyte count ≥1.5 × 109/l0
 Platelet count >400 × 109/l and lymphocyte count ≥1.5 × 109/l1
 Platelet count ≤400 × 109/l and lymphocyte count <1.5 × 109/l1
 Platelet count >400 × 109/l and lymphocyte count <1.5 × 109/l2
LMR
 Lymphocyte count: monocyte count≥2.40
 Lymphocyte count: monocyte count<2.40
LMS
 Lymphocyte count ≥1.5 × 109/l and monocyte count ≤0.80 × 109/l0
 Lymphocyte count ≥1.5 × 109/l and monocyte count ≤0.80 × 109/l1
 Lymphocyte count <1.5 × 109/l and monocyte count >0.80 × 109/l1
 Lymphocyte count <1.5 × 109/l and monocyte count >0.80 × 109/l2
NPS
 Neutrophil count ≤7.5 × 109/l and platelet count <400 × 109/l0
 Neutrophil count >7.5 × 109/l and platelet count <400 × 109/l1
 Neutrophil count ≤7.5 × 109/l and platelet count >400 × 109/l1
 Neutrophil count >7.5 × 109/l and platelet count >400 × 109/l2
CAR
 C-reactive protein: albumin≤0.22
 C-reactive protein: albumin>0.22
mGPS
 C-reactive protein ≤10 mg/l and albumin ≥35 g/l0
 C-reactive protein >10 mg/l and albumin ≥35 g/l l1
 C-reactive protein >10 mg/l and albumin <35 g/l l2

NLR neutrophil–lymphocyte ratio, NLS neutrophil–lymphocyte score, CAR C-reactive protein albumin ratio, mGPS modified Glasgow prognostic score, NPS neutrophil–platelet score, LMS lymphocyte–monocyte score, LMR lymphocyte–monocyte ratio, PLR platelet–lymphocyte ratio, PLS platelet–lymphocyte score

Systemic inflammation-based prognostic ratios and scores NLR neutrophil–lymphocyte ratio, NLS neutrophil–lymphocyte score, CAR C-reactive protein albumin ratio, mGPS modified Glasgow prognostic score, NPS neutrophil–platelet score, LMS lymphocyte–monocyte score, LMR lymphocyte–monocyte ratio, PLR platelet–lymphocyte ratio, PLS platelet–lymphocyte score A simpler approach is the cumulative prognostic score, where markers of the systemic inflammatory response are defined as normal or as abnormal based on their laboratory reference ranges such that two markers with normal values score lowest and have the best outcomes and two markers with abnormal values score highest and have the poorest outcomes. The most widely validated example of this approach is the Glasgow prognostic score (mGPS) based on the acute phase proteins, C-reactive protein and albumin (Table 1).[2,3] Also, recently the neutrophil–platelet score (NPS) using neutrophils and platelets has been reported.[4] Clearly, the cumulative score approach can also be applied to the ratios described above (Table 1), such as NLR (termed neutrophil–lymphocyte score (NLS)), PLR (termed platelet–lymphocyte score (PLS)) and LMR (termed lymphocyte–monocyte score (LMS)). Therefore, the aim of the present study was to compare the prognostic value of systemic inflammatory markers, in particular that of composite ratios and cumulative scores, in patients undergoing surgery for colon cancer.

Patients and methods

Patients were identified from a prospectively collected and maintained database of colon cancer resections undertaken in a single surgical unit at the Glasgow Royal Infirmary. Consecutive patients who met the following criteria were included: first, those who had preoperative measurement of serum CRP, albumin and differential blood cell counts within 30 days before surgery; second, those who, on the basis of preoperative abdominal computed tomography and laparotomy findings, were considered to have undergone potentially curative resection for colonic cancer between January 1997 and June 2014. Patients with inflammatory bowel disease-related cancer, who underwent resection with palliative intent or local resection only, or had not had preoperative measurement of CRP or albumin, were excluded.[5] Tumours were staged using the fifth edition of the tumour node metastasis (TNM) classification, with additional data taken from pathological reports issued after resection.[6] After surgery, all patients were discussed at a multidisciplinary meeting involving surgeons, oncologists, radiologists and pathologists with special interest in colorectal cancer; patients with stage III or high-risk stage II disease and no significant comorbidities precluding chemotherapy use were offered primarily 5-fluorouracil-based adjuvant chemotherapy on the basis of current guidelines at the time. Preoperative serum CRP, albumin and differential blood cell counts were recorded prospectively. NLR, PLR, LMR and CAR were all calculated by directly dividing the former by the latter (Table 1). The NLS, PLS, LMS, NPS and mGPS were all constructed using normal reference ranges (Table 1). Patients were routinely followed up for 5 years after surgery. Date and cause of death were crosschecked with the cancer registration system and the Registrar General (Scotland). Death records were complete until 30 June 2017, which acted as the censor date. Cancer-specific survival (CSS) was measured from the date of surgery until the date of death from recurrent or metastatic colonic cancer. Overall survival (OS) was measured until the date of death from any cause. The West of Scotland Research Ethics Committee approved the study.

Statistics

The cut-off values for individual ratios were examined using receiver operating characteristic (ROC) curve analyses. The threshold values of such characteristics were based on the most prominent point on the ROC curve for 'sensitivity' and '1-specificity', respectively. The optimal threshold values were defined using the Youden index (maximum (sensitivity + specificity − 1)) and these were compared with published validated values to determine the value used in the subsequent analysis.[7,8] The area under the ROC curve also was calculated. The relationship between NLR, PLR, LMR, CAR, NLS, PLS, LMS and mGPS and both CSS and OS was assessed using Cox proportional hazards regression to calculate hazard ratios (HRs) and 95% confidence intervals (95% CIs). The relationship between NLR, PLR, LMR, CAR, NLS, PLS, LMS and mGPS and patient clinicopathological characteristics was assessed using Pearson's χ2 tests. In order to adjust for multiple comparisons during the correlation of composite ratios and cumulative scores and clinicopathological characteristics a p value of <0.01 was considered significant. All analyses were performed using SPSS version 22.0 (IBM Corp, Armonk, NY, USA).

Results

From the prospectively maintained database, 801 patients undergoing potentially curative resection for colon cancer were examined (Table 2a). The majority of patients were over 65 years of age (69%), were male (54%), were overweight or obese (57%) and were American Society of Anaesthesiologists' grade 2 or greater (83%). The majority of patients presented electively (86%), had an open resection (85%) and did not receive adjuvant therapy (75%). The majority of patients had either TNM stage II or III disease (86%) with moderate/well- differentiated tumours (n = 703, 89%) and venous invasion (52%). The majority of patients had no margin involvement (95%), peritoneal involvement (72%) or tumour perforation (97%) at the time of resection. On follow-up there were 237 (28%) cancer-related deaths and 437 (52%) deaths overall.
Table 2a

The clinicopathological characteristics of patients undergoing surgery for colon cancer (n = 801)

Variablesn = 801 (%)
Age (years)
 <65248 (31)
 65–74270 (34)
 >75283 (35)
Sex
 Female371 (46)
 Male430 (54)
BMIa
 Underweight72 (12)
 Normal190 (31)
 Overweight192 (32)
 Obese153 (25)
ASA gradeb
 197 (17)
 2243 (42)
 3208 (36)
 429 (5)
Presentation
 Elective689 (86)
 Emergency112 (14)
Type of surgery
 Open679 (85)
 Laparoscopic122 (15)
Neoadjuvant therapyc
 No782 (99)
 Yes8 (1)
Adjuvant therapyd
 No574 (75)
 Yes194 (25)
T stage
 152 (6)
 276 (10)
 3418 (52)
 4255 (32)
N stage
 0507 (63)
 1207 (26)
 287 (11)
TNM stage
 1116 (14)
 2391 (49)
 3294 (37)
Differentiatione
 Mod/well709 (89)
 Poor86 (11)
Venous invasionf
 No383 (48)
 Yes416 (52)
Margin involvementf
 No757 (95)
 Yes42 (5)
Peritoneal involvementf
 No578 (72)
 Yes221 (28)
Tumour perforationf
 No772 (97)
 Yes27 (3)

an = 607.

bn  = 575.

cn = 790.

dn  = 778.

en = 795.

fn = 799.

BMI body mass index, ASA American Society of Anaesthesiologists, TNM tumour node metastasis

The clinicopathological characteristics of patients undergoing surgery for colon cancer (n = 801) an = 607. bn  = 575. cn = 790. dn  = 778. en = 795. fn = 799. BMI body mass index, ASA American Society of Anaesthesiologists, TNM tumour node metastasis The relationship between the composite ratios and cumulative scores and the clinicopathological characteristics of patients undergoing elective surgery for colon cancer is shown in Table 2b (n = 689). There was statistically significant correlation between the majority of the composite ratios and cumulative scores and age (p < 0.01), BMI (p < 0.01), T stage (p < 0.01), venous invasion (p < 0.01) and peritoneal involvement (p < 0.01).
Table 2b

The correlation between composite ratios and cumulative scores and clinicopathological characteristics of patients undergoing elective surgery for colon cancer (n = 689)

AgeSexBMIASA gradeT stageN stageDifferentiationVenous invasionMargin involvementPeritoneal involvementTumour perforationAdjuvant therapy
NLR0.0090.398<0.0010.1560.0690.2870.0180.0020.2190.195<0.0010.063
NLS0.0020.7460.0030.8800.0390.5040.0730.0780.0690.0620.0040.301
PLR<0.0010.391<0.0010.2940.0010.3950.0870.2140.0950.0020.8030.758
PLS0.0080.827<0.0010.3370.0010.4490.0290.0020.0120.0050.0430.907
LMR<0.0010.0040.0300.7050.0630.9480.5570.1330.7500.0850.0410.067
LMS<0.0010.8720.1650.8410.0010.4120.0440.1580.033<0.0010.1840.097
NPS0.6490.9900.0160.7530.0040.0170.0050.0130.0150.2770.3750.341
CAR0.0080.6180.0270.009<0.0010.0710.0010.0110.0370.0070.0040.341
mGPS0.1800.913<0.0010.294<0.0010.616<0.0010.0060.0050.0030.0010.422

*p <0.01 is considered significant.

NLR neutrophil–lymphocyte ratio, NLS neutrophil–lymphocyte score, CAR C-reactive protein albumin ratio, mGPS modified Glasgow prognostic score, NPS neutrophil–platelet score, LMS lymphocyte–monocyte score, LMR lymphocyte–monocyte ratio, PLR platelet–lymphocyte ratio, PLS platelet–lymphocyte score

The correlation between composite ratios and cumulative scores and clinicopathological characteristics of patients undergoing elective surgery for colon cancer (n = 689) *p <0.01 is considered significant. NLR neutrophil–lymphocyte ratio, NLS neutrophil–lymphocyte score, CAR C-reactive protein albumin ratio, mGPS modified Glasgow prognostic score, NPS neutrophil–platelet score, LMS lymphocyte–monocyte score, LMR lymphocyte–monocyte ratio, PLR platelet–lymphocyte ratio, PLS platelet–lymphocyte score The relationship between composite ratios and cumulative scores and their component values in patients undergoing surgery for colon cancer is shown in Table 2c (n = 801). The majority were not assigned as systemically inflamed prior to surgery according to either ratios or scores (NLR >5—19%, NLS >0—47%, PLR >150—65%, PLS >0—48%, NPS >0—28%, CAR >0.22—49%, mGPS >0—41%).
Table 2c

The relationship between composite ratios and cumulative scores and their component values in patients undergoing surgery for colon cancer (n = 801)

n (%)Median (range)Median (range)
NeutrophilLymphocyte
NLR
 ≤3388 (48.4)4.2 (0.4–9.0)2.0 (0.7–14.1)
 3–5260 (32.5)5.5 (2.1–17.5)1.5 (0.5–4.7)
 >5153 (19.1)8.5 (2.2–21.3)1.1 (0.3–2.5)
NLS
 0421 (52.6)4.8 (1.7–7.5)2.0 (1.5–14.1)
 1325 (40.6)5.1 (0.4–20.6)1.3 (0.3–4.70)
 255 (6.9)9.9 (7.6–21.3)1.1 (0.5–1.4)
PlateletLymphocyte
PLRa
 ≤150237 (34.8)248 (93–653)2.1 (1.0–14.1)
 >150445 (65.2)325 (119–814)1.40 (0.30–4.70)
PLSa
 0351 (51.5)282 (94–396)2.0 (1.5–14.1)
 1283 (41.5)292 (93–814)1.3 (0.3–11.0)
 248 (7.0)478 (406–698)1.1 (0.6–1.4)
LymphocyteMonocyte
LMRb
 ≥2.4252 (61.0)1.9 (0.6–14.1)0.6 (0.1–1.3)
 <2.4161 (39.0)1.3 (0.3–3.0)0.8 (0.3–2.0)
LMSb
 0214 (51.8)2.0 (1.5–14.1)0.6 (0.1–0.8)
 1169 (40.9)1.3 (0.3–4.6)0.7 (0.1–2.0)
 230 (7.3)1.2 (0.6–1.4)1.0 (0.9–1.9)
NeutrophilPlatelet
NPSa
 0491 (72.0)4.5 (0.4–7.50)268 (93–400)
 1140 (20.5)6.7 (2.3–18.8)415 (96–811)
 251 (7.5)9.8 (7.6–20.60)474 (406–814)
CRPAlbumin
CAR
 ≤0.22412 (51.4)5 (0.1–9)38 (21–49)
 >0.22389 (48.6)22 (6–339)35 (15–47)
mGPS
 0474 (59.2)5 (0.1–10)38 (21–49)
 1173 (21.6)22 (11–220)38 (35–47)
 2154 (19.2)37 (11–339)31 (15–34)

an = 682.

bn = 413.

NLR neutrophil–lymphocyte ratio, NLS neutrophil–lymphocyte score, CAR C-reactive protein albumin ratio, mGPS modified Glasgow prognostic score, NPS neutrophil–platelet score, LMS lymphocyte–monocyte score, LMR lymphocyte–monocyte ratio, PLR platelet–lymphocyte ratio, PLS platelet–lymphocyte score

The relationship between composite ratios and cumulative scores and their component values in patients undergoing surgery for colon cancer (n = 801) an = 682. bn = 413. NLR neutrophil–lymphocyte ratio, NLS neutrophil–lymphocyte score, CAR C-reactive protein albumin ratio, mGPS modified Glasgow prognostic score, NPS neutrophil–platelet score, LMS lymphocyte–monocyte score, LMR lymphocyte–monocyte ratio, PLR platelet–lymphocyte ratio, PLS platelet–lymphocyte score The median values for the components of the ratios and scores are shown in Table 2c. An NLR 3–5 was associated with a median neutrophil count of 5.5 × 109/l and a median lymphocyte count of 1.5 × 109/l, both within the normal reference range. In contrast, an NLR >5 was associated with a median neutrophil count of 8.5 × 109/l and a median lymphocyte count of 1.1 × 109/l, both outside the normal reference range. A PLR >150 was associated with a median platelet count of 325 × 109/l and a median lymphocyte count of 1.4 × 109/l, the platelet count being within the normal reference range. An LMR <2.4 was associated with a median lymphocyte count of 1.3 × 109/l and a median monocyte count of 0.8 × 109/l, monocyte count being within the normal reference range. A CAR >0.22 was associated with a median CRP concentration of 24 mg/l and a median albumin concentration of 36 g/l, with albumin being within the normal reference range. The relationship between validated ratios, scores and 5-year CSS in patients undergoing surgery for colon cancer is shown in Table 3 and Figs. 1–4. On ROC analysis using standard thresholds and CSS as an end-point, the AUC for TNM stage was 0.649, NLR was 0.577, NLS was 0.566, PLR was 0.538, PLS was 0.607, LMR was 0.613, LMS was 0.605, NPS was 0.580, CAR was 0.582 and mGPS was 0.591. When adjusted for TNM stage, NLR >5 (p < 0.001), NLS 1 and 2 (both p ≤ 0.01), PLS 2 (p < 0.001), LMR <2.4 (p < 0.001), LMS 2 (p < 0.001), NPS 2 (p ≤ 0.001), CAR >0.22 (p < 0.001), mGPS 2 (p < 0.001) were significantly associated with CSS.
Table 3

The relationship between validated ratios, scores and survival in patients undergoing surgery for colon cancer (n = 801)

UnivariateMultivariate Adjusted for TNM stageUnivariateMultivariate Adjusted for TNM stage
AUC (95% CI)CSS HR (95% CI)p valueCSS HR (95% CI)p valueAUC (95% CI)OS HR (95% CI)p valueOS HR (95% CI)p value
TNM stage
 I (n = 116)0.649 (0.559–0.740)0.569 (0.477–0.661)
 II (n = 391)4.39 (1.78–10.85)0.0011.73 (1.16–2.57)0.007
 III (n = 294)9.86 (4.02–24.17)<0.0012.54 (1.70–3.79)<0.001
NLR/NLS
 NLR <3 (n = 388)0.577 (0.529–0.624)0.594 (0.554–0.633)
 NLR 3–5 (n = 260)1.22 (0.87–1.72)0.2511.28 (0.91–1.80)0.1521.21 (0.95–1.53)0.1181.26 (0.99–1.59)0.061
 NLR >5 (n = 153)2.06 (1.46–2.92)<0.0012.11 (1.50–3.00)<0.0011.85 (1.44–2.37)<0.0011.88 (1.46–2.42)<0.001
 NLS 0 (n = 421)0.566 (0.519–0.613)0.586 (0.546–0.626)
 NLS 1 (n = 325)1.49 (1.10–2.01)0.0101.57 (1.16–2.12)0.0031.45 (1.17–1.79)0.0011.49 (1.21–1.85)<0.001
 NLS 2 (n = 55)2.01 (1.22–3.30)0.0061.85 (1.12–3.05)0.0161.68 (1.15–2.46)0.0071.59 (1.09–2.33)0.016
PLR/PLSa
 PLR ≤150 (n = 237)0.538 (0.486–0.589)0.555 (0.512–0.598)
 PLR >150 (n = 445)1.31 (0.92–1.86)0.1411.20 (0.84–1.70)0.3261.26 (0.98–1.63)0.0731.20 (0.93–1.55)0.166
 PLS 0 (n = 351)0.578 (0.525–0.631)0.586 (0.542–0.629)
 PLS 1 (n = 283)1.39 (0.98–1.96)0.0611.33 (0.94–1.88)0.1061.34 (1.05–1.70)0.0201.29 (1.01–1.65)0.040
 PLS 2 (n = 48)2.77 (1.67–4.59)<0.0012.42 (1.46–4.01)0.0012.16 (1.46–3.18)<0.0011.94 (1.31–2.87)0.001
LMR/LMSb
 LMR ≥2.4 (n = 161)0.613 (0.539–0.688)0.590 (0.528–0.652)
 LMR <2.4 (n = 252)2.62 (1.61–4.27)<0.0012.49 (1.53–4.06)<0.0012.08 (1.44–3.00)<0.0011.99 (1.38–2.87)<0.001
 LMS 0 (n = 214)0.605 (0.528–0.681)0.585 (0.522–0.648)
 LMS 1 (n = 169)1.69 (0.99–2.86)0.0511.65 (0.97–2.81)0.0641.47 (0.99–2.17)0.0581.41 (0.95–2.10)0.088
 LMS 2 (n = 30)3.68 (1.81–7.49)<0.0013.67 (1.80–7.49)<0.0012.81 (1.59–4.95)<0.0012.76 (1.56–4.88)<0.001
NPSa
 NPS 0 (n = 491)0.580 (0.526–0.634)0.576 (0.532–0.619)
 NPS 1 (n = 140)1.76 (1.22–2.55)0.0031.47 (1.02–2.13)0.0421.64 (1.26–2.14)<0.0011.47 (1.12–1.92)0.005
 NPS 2 (n = 51)2.50 (1.52–4.10)<0.0012.14 (1.30–3.51)0.0031.83 (1.24–2.70)0.0021.65 (1.12–2.44)0.011
CAR/mGPS
 CAR ≤0.22 (n = 412)0.582 (0.536–0.628)0.603 (0.563–0.642)
 CAR >0.22 (n = 389)1.88 (1.40–2.51)<0.0011.76 (1.31–2.35)<0.0011.88 (1.53–2.31)<0.0011.84 (1.49–2.26)<0.001
 mGPS 0 (n = 474)0.591 (0.544–0.639)0.623 (0.582–0.663)
 mGPS 1 (n = 173)1.35 (0.95–1.94)0.0991.22 (0.85–1.75)0.2821.49 (1.17–1.90)0.0011.44 (1.12–1.84)0.004
 mGPS 2 (n = 154)2.47 (1.77–3.46)<0.0012.31 (1.65–3.25)<0.0012.32 (1.81–2.99)<0.0012.28 (1.76–2.95)<0.001

an = 682.

bn = 413.

AUC area under the curve, CI confidence interval, HR hazard ratio, CSS cancer-specific survival, OS overall survival, TNM tumour node metastasis, NLR neutrophil–lymphocyte ratio, NLS neutrophil–lymphocyte score, CAR C-reactive protein albumin ratio, mGPS modified Glasgow prognostic score, NPS neutrophil–platelet score, LMS lymphocyte–monocyte score, LMR lymphocyte–monocyte ratio, PLR platelet–lymphocyte ratio, PLS platelet–lymphocyte score

Fig. 1

a–d The relationship between the NLR and NLS and both CSS and OS in patients undergoing surgery for colon cancer. Number at risk depicts the number of patients alive or not censored entering each time period

Fig. 4

a–d The relationship between the CAR and mGPS and both CSS and OS in patients undergoing surgery for colon cancer. Number at risk depicts the number of patients alive or not censored entering each time period

The relationship between validated ratios, scores and survival in patients undergoing surgery for colon cancer (n = 801) an = 682. bn = 413. AUC area under the curve, CI confidence interval, HR hazard ratio, CSS cancer-specific survival, OS overall survival, TNM tumour node metastasis, NLR neutrophil–lymphocyte ratio, NLS neutrophil–lymphocyte score, CAR C-reactive protein albumin ratio, mGPS modified Glasgow prognostic score, NPS neutrophil–platelet score, LMS lymphocyte–monocyte score, LMR lymphocyte–monocyte ratio, PLR platelet–lymphocyte ratio, PLS platelet–lymphocyte score a–d The relationship between the NLR and NLS and both CSS and OS in patients undergoing surgery for colon cancer. Number at risk depicts the number of patients alive or not censored entering each time period a–d The relationship between the PLR and PLS and both CSS and OS in patients undergoing surgery for colon cancer. Number at risk depicts the number of patients alive or not censored entering each time period a–d The relationship between the LMR and LMS and both CSS and OS in patients undergoing surgery for colon cancer. Number at risk depicts the number of patients alive or not censored entering each time period a–d The relationship between the CAR and mGPS and both CSS and OS in patients undergoing surgery for colon cancer. Number at risk depicts the number of patients alive or not censored entering each time period On ROC analysis using standard thresholds and 5-year OS as an end-point, the following AUC for TNM stage was 0.569, NLR was 0.594, NLS was 0.586, PLR was 0.555, PLS was 0.620, LMR was 0.590, LMS was 0.585, NPS was 0.576, CAR was 0.603 and mGPS was 0.623. When adjusted for TNM stage, NLR >5 (p < 0.001), NLS 1 and 2 (both p ≤ 0.01), PLS 2 (p < 0.001), LMR <2.4 (p < 0.001), LMS 2 (p < 0.001), NPS 2 (p ≤ 0.01), CAR >0.22 (p < 0.001), mGPS 2 (p < 0.001) were all significantly associated with overall survival (Table 3 and Figs. 1–4). The complementary prognostic value of the cumulative scores NPS and mGPS, markers of innate immune activation from two different organs, were examined in the context of TNM staging (Table 4). Within TNM stage II disease the 5-year CSS rate was 82% and the 5-year CSS rate varied between 86 and 73% according to the NPS and between 86 and 79% according to the mGPS. The 5-year OS rate was 57% and the 5-year OS rate varied between 61 and 47% according to the NPS and between 65 and 48% according to the mGPS.
Table 4

The relationship between mGPS, NLS and 5-year CSS and OS rates in patients undergoing potentially curative resection of TNM stage II (n = 391) and III (n = 294) colonic cancer

Stage II (n = 322)Stage II (n = 322)
mGPS 0mGPS 1/2mGPS 0–2mGPS 0mGPS 1/2mGPS 0–2
n 5-year CSS (%) n 5-year CSS (%) n n 5-year OS (%) n 5-year OS (%) n
NPS 0147 (85%)88.4 (0.03)78 (52%)82.1 (0.04) 225 86.2 (0.02) 147 (85%)66.7 (0.04)78 (52%)58.7 (0.06) 225 61.3 (0.03)
NPS 1/226 (15%)69.2 (0.09)71 (48%)74.6 (0.05) 97 73.2 (0.05) 26 (15%)57.7 (0.10)71 (48%)43.7 (0.06) 97 47.4 (0.05)
NPS 0–2 173 85.5 (0.03) 149 78.5 (0.03) 322 82.3 (0.02) 173 65.3 (0.04) 149 47.7 (0.04) 322 57.1 (0.03)

Values are expressed as % (standard error) survival not calculated if n < 10.

CSS cancer-specific survival, OS overall survival, TNM tumour node metastasis, NLS neutrophil–lymphocyte score, mGPS modified Glasgow prognostic score, NPS neutrophil–platelet score

The relationship between mGPS, NLS and 5-year CSS and OS rates in patients undergoing potentially curative resection of TNM stage II (n = 391) and III (n = 294) colonic cancer Values are expressed as % (standard error) survival not calculated if n < 10. CSS cancer-specific survival, OS overall survival, TNM tumour node metastasis, NLS neutrophil–lymphocyte score, mGPS modified Glasgow prognostic score, NPS neutrophil–platelet score Within TNM stage III disease, the 5-year CSS rate was 65% and the 5-year CSS rate varied between 67 and 60% according to the NPS and between 69 and 59% according to the mGPS. The 5-year OS rate was 47% and the 5-year OS varied between 51 and 37% according to the NPS and between 53 and 38% according to the mGPS (Table 4).

Discussion

The results of the present study directly compare, for the first time, the prognostic value of composite ratios and cumulative scores of the systemic inflammatory response. These ratios and scores, whether composed of white cells from lymphoid/myeloid tissue or from acute phase proteins from the liver, had prognostic value, independent of TNM stage, in patients with colon cancer. Moreover, systemic inflammation scores from different organs had similar prognostic value. Taken together, the systemic inflammatory response represents an important prognostic domain to be monitored in patients with colon cancer. In the present study, it was of interest that the ratio thresholds did not always differentiate normal from abnormal values of the composite values. The discrepancy between the ratio threshold and the abnormal single component is shown in Fig. 5a–e. In Fig. 5a, using the line of best fit, an NLR >5 was associated with a median neutrophil count of approximately 7.5, at the top of the normal reference range. In contrast, a NLR >3 was associated with a neutrophil count of approximately 4.5, within in the normal reference range. With reference to PLR >150, it was associated with a platelet count of approximately 200, within the normal range (Fig. 5b). With reference to LMR <2.4, it was associated with a lymphocyte count of 1.5, at the bottom of the normal range (Fig. 5c). Finally, with reference to CAR >0.22 was associated with a CRP of 10 well above the normal range (Fig. 5d). Therefore, it is clear that a number of ratios (e.g. NLR >3 and PLR >150) do not describe components with abnormal values. Moreover, the ratios, compared with scores, consistently assigned a higher proportion of patients to be systemically inflamed. Given that scores based on abnormal value are simpler to construct and have similar and overlapping prognostic value, independent of TNM stage, compared with composite ratios (Table 3), the rationale for the continued use of such ratios is problematic. Indeed, recent clinical calculators for survival in patients with metastatic colorectal cancer, based on data of more than 20,000 patients from randomised controlled trials (ARCAD database), has incorporated the white cell count, neutrophil count, platelet count and albumin level as scores rather than derived ratios.[9,10] Furthermore Dupré and Malik[11] have argued that the variability of reported prognostic thresholds of NLR, PLR and LMR questions their reliability for routine clinical practice.
Fig. 5

a–e Plot of preoperative neutrophil count and NLR, platelet count and PLR, lymphocyte count and LMR, CRP and CAR, NLR and CAR in all patients undergoing surgical resection for colon cancer

a–e Plot of preoperative neutrophil count and NLR, platelet count and PLR, lymphocyte count and LMR, CRP and CAR, NLR and CAR in all patients undergoing surgical resection for colon cancer Although it is presumed that composite ratios of lymphoid/myeloid cells and acute phase proteins reflect similar aspects of the systemic inflammatory response, it is clear from the plot of NLR and CAR (Fig. 5e) that these ratios do not simply mirror one another. In contrast, when cumulative scores such as NPS and mGPS, based on normal reference ranges, were compared there was better agreement in terms of systemic inflammatory response status and prognostic value (Table 4). However, it should be noted that although C-reactive protein and albumin are similar proteins components of a differential WCC such as neutrophil count are composed of a number of cell types.[12] Irrespective the cumulative score approach, based on normal reference ranges, improves our understanding of aspects of the activation of the innate systemic inflammatory response. The simplicity and consistency of this approach has much to commend it. The innate systemic inflammatory response in patients with cancer, as well as incorporating responses from lymphoid/myeloid tissue and the liver, incorporates responses from other organs and tissues. In particular, the response from the sympathetic nervous system is of interest since similar to that of NPS and mGPS, it is intimately connected with immune responses.[13] Having established, in patients with cancer, the prognostic value of simple and objective markers of activation of lymphoid/myeloid and liver tissue activation, it would be of considerable interest to examine the prognostic value of objective markers of activation of the sympathetic nervous system. In the present study, there was a clear correlation between higher composite ratios and cumulative scores and increased age, BMI, advanced T stage and the presence of both venous and peritoneal invasion. These clinicopathological characteristics are also directly associated with a poorer prognosis adding further weight to the prognostic ability of both composite ratios and cumulative score in patients with colonic cancer. Recently, Park et al.[5] reported that the mGPS provides complimentary prognostic information to current TNM-based staging. When TNM staging and mGPS were combined, the 5-year OS ranged from 92% (TNM 0, mGPS = 0) to 26% (stage III, mGPS = 2) and the 10-year OS ranged from 92% (TNM 0, mGPS = 0) to 17% (TNM III, mGPS = 2) (p < 0.001). This further highlights the prognostic ability of the mGPS which is complementary to the gold standard of TNM staging with both being routinely available worldwide.[5] The present study has a number of possible limitations. Although a relatively large prospective cohort, there were small numbers of observations in some sub-group analysis. Furthermore, data relating to other factors that may have affected markers of the systemic inflammatory response such drugs taken prior to sampling were not available. Although the present study used the 5th rather than the 7th edition of the TNM staging system, this was recommended in the 2014 Colorectal Cancer Care Guidelines of the Royal College of Pathologists and as such is the basis for all current UK wide practice.[14] Furthermore, migration from the 5th to 7th edition would be expected to account for an upstaging from node-negative to node-positive disease in <3% of cases, with little subsequent effect on prognosis.[14-16] A maximum of a 30-day interval between laboratory testing and surgery may be considered to be too long. However, this timescale has been widely reported in the literature and consistent with the chronic nature of the standardised incidence ratio in patients with cancer.[3] Also, patients with inflammatory bowel disease-related cancers were not included in the analysis. As such, the patient confounding factors of active systemic inflammatory disease and acute changes in the inflammatory state have been minimised. In summary, present study directly compares, for the first time, the prognostic value of composite ratios and cumulative scores of the systemic inflammatory response. These ratios and scores, whether composed of white cells from lymphoid/myeloid tissue or from acute phase proteins from the liver, had prognostic value, independent of TNM stage, in patients with colon cancer. However, cumulative scores, based on normal reference ranges, are simpler and more consistent for clinical use.
  14 in total

1.  Index for rating diagnostic tests.

Authors:  W J YOUDEN
Journal:  Cancer       Date:  1950-01       Impact factor: 6.860

Review 2.  Sympathetic neural-immune interactions regulate hematopoiesis, thermoregulation and inflammation in mammals.

Authors:  Kelley S Madden
Journal:  Dev Comp Immunol       Date:  2016-04-24       Impact factor: 3.636

3.  Optimal colorectal cancer staging criteria in TNM classification.

Authors:  Hideki Ueno; Hidetaka Mochizuki; Yoshito Akagi; Takaya Kusumi; Kazutaka Yamada; Masahiro Ikegami; Hiroshi Kawachi; Shingo Kameoka; Yasuo Ohkura; Tadahiko Masaki; Ryoji Kushima; Keiichi Takahashi; Yoichi Ajioka; Kazuo Hase; Atsushi Ochiai; Ryo Wada; Keiichi Iwaya; Hideyuki Shimazaki; Takahiro Nakamura; Kenichi Sugihara
Journal:  J Clin Oncol       Date:  2012-03-19       Impact factor: 44.544

Review 4.  Inflammation and cancer: What a surgical oncologist should know.

Authors:  Aurélien Dupré; Hassan Z Malik
Journal:  Eur J Surg Oncol       Date:  2018-03-02       Impact factor: 4.424

5.  Lymph nodes, tumor deposits, and TNM: are we getting better?

Authors:  Iris D Nagtegaal; Tibor Tot; David G Jayne; Phil McShane; Anders Nihlberg; Helen C Marshall; Lars Påhlman; Julia M Brown; Pierre J Guillou; Philip Quirke
Journal:  J Clin Oncol       Date:  2011-05-09       Impact factor: 44.544

6.  Colorectal Cancer, Systemic Inflammation, and Outcome: Staging the Tumor and Staging the Host.

Authors:  James H Park; David G Watt; Campbell S D Roxburgh; Paul G Horgan; Donald C McMillan
Journal:  Ann Surg       Date:  2016-02       Impact factor: 12.969

7.  Clinical Significance of the C-Reactive Protein to Albumin Ratio for Survival After Surgery for Colorectal Cancer.

Authors:  Mitsuru Ishizuka; Hitoshi Nagata; Kazutoshi Takagi; Yoshimi Iwasaki; Norisuke Shibuya; Keiichi Kubota
Journal:  Ann Surg Oncol       Date:  2015-11-03       Impact factor: 5.344

Review 8.  Neutrophil: A Cell with Many Roles in Inflammation or Several Cell Types?

Authors:  Carlos Rosales
Journal:  Front Physiol       Date:  2018-02-20       Impact factor: 4.566

9.  The Neutrophil-Platelet Score (NPS) Predicts Survival in Primary Operable Colorectal Cancer and a Variety of Common Cancers.

Authors:  David G Watt; Michael J Proctor; James H Park; Paul G Horgan; Donald C McMillan
Journal:  PLoS One       Date:  2015-11-06       Impact factor: 3.240

10.  The role of the systemic inflammatory response in predicting outcomes in patients with operable cancer: Systematic review and meta-analysis.

Authors:  Ross D Dolan; Jason Lim; Stephen T McSorley; Paul G Horgan; Donald C McMillan
Journal:  Sci Rep       Date:  2017-12-01       Impact factor: 4.379

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  45 in total

1.  Normocytic anaemia is associated with systemic inflammation and poorer survival in patients with colorectal cancer treated with curative intent.

Authors:  Stephen T McSorley; Mark Johnstone; Colin W Steele; Campbell S D Roxburgh; Paul G Horgan; Donald C McMillan; David Mansouri
Journal:  Int J Colorectal Dis       Date:  2018-12-04       Impact factor: 2.571

2.  Prognostic utility of neutrophil-to-lymphocyte ratio in patients with metastatic colorectal cancer treated using different modalities.

Authors:  G Nogueira-Costa; I Fernandes; R Gameiro; J Gramaça; A T Xavier; I Pina
Journal:  Curr Oncol       Date:  2020-10-01       Impact factor: 3.677

3.  Preoperative change of modified Glasgow prognostic score after stenting predicts the long-term outcomes of obstructive colorectal cancer.

Authors:  Ryuichiro Sato; Masaya Oikawa; Tetsuya Kakita; Takaho Okada; Tomoya Abe; Takashi Yazawa; Haruyuki Tsuchiya; Naoya Akazawa; Masaki Sato; Tetsuya Ohira; Yoshihiro Harada; Haruka Okano; Kei Ito; Noriaki Ohuchi; Takashi Tsuchiya
Journal:  Surg Today       Date:  2019-08-12       Impact factor: 2.549

4.  Pre-treatment CRP and Albumin Determines Prognosis for Unresectable Advanced Oesophageal Cancer.

Authors:  Makoto Sohda; Makoto Sakai; Arisa Yamaguchi; Takayoshi Watanabe; Nobuhiro Nakazawa; Yasunari Ubukata; Kengo Kuriyam; Akihiko Sano; Takehiko Yokobori; Hiroomi Ogawa; Ken Shirabe; Hiroshi Saeki
Journal:  In Vivo       Date:  2022 Jul-Aug       Impact factor: 2.406

5.  Inflammation-based prognostic scores in geriatric patients with rectal cancer.

Authors:  B Manoglu; S Sokmen; T Bisgin; H S Semiz; I B Görken; H Ellidokuz
Journal:  Tech Coloproctol       Date:  2022-10-05       Impact factor: 3.699

6.  Modified Glasgow prognostic score predicts the prognosis of patients with advanced esophageal squamous cell carcinoma: A propensity score-matched analysis.

Authors:  Chanjuan Cui; Xi Wu; Lei Deng; Wenqing Wang; Wei Cui; Yanfeng Wang
Journal:  Thorac Cancer       Date:  2022-05-27       Impact factor: 3.223

7.  Neutrophil-to-Lymphocyte Ratio as an Indicator of Opioid-Induced Immunosuppression After Thoracoscopic Surgery: A Randomized Controlled Trial.

Authors:  Qi Chen; Jingqiu Liang; Ling Liang; Zhongli Liao; Bin Yang; Jun Qi
Journal:  J Pain Res       Date:  2022-06-30       Impact factor: 2.832

8.  Systemic immune-inflammation index as a prognostic marker in patients with newly diagnosed metastatic nasopharyngeal carcinoma: a propensity score-matched study.

Authors:  Cheng Lin; Sheng Lin; Qiao-Juan Guo; Jing-Feng Zong; Tian-Zhu Lu; Na Lin; Shao-Jun Lin; Jian-Ji Pan
Journal:  Transl Cancer Res       Date:  2019-09       Impact factor: 1.241

9.  The predictive power of C-reactive protein- lymphocyte ratio for in-hospital mortality after colorectal cancer surgery.

Authors:  İbrahim Mungan; Erdal Birol Bostancı; Erbil Türksal; Büşra Tezcan; Mehmet Nesim Aktaş; Müçteba Can; Dilek Kazancı; Sema Turan
Journal:  Cancer Rep (Hoboken)       Date:  2021-02-15

10.  Serum CD4 Is Associated with the Infiltration of CD4+T Cells in the Tumor Microenvironment of Gastric Cancer.

Authors:  Qi You; Tianyi Fang; Xin Yin; Yimin Wang; Yongheng Yang; Lei Zhang; Yingwei Xue
Journal:  J Immunol Res       Date:  2021-02-28       Impact factor: 4.818

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