Skip to main content
Journal of Translational Medicine logoLink to Journal of Translational Medicine
. 2013 Aug 15;11:189. doi: 10.1186/1479-5876-11-189

Impact of baseline and nadir neutrophil index in non-small cell lung cancer and ovarian cancer patients: Assessment of chemotherapy for resolution of unfavourable neutrophilia

Andreas Carus 1,, Howard Gurney 2, Val Gebski 3, Paul Harnett 2, Rina Hui 2, Richard Kefford 2, Nicholas Wilcken 2, Morten Ladekarl 1, Hans von der Maase 4, Frede Donskov 1
PMCID: PMC3751486  PMID: 23945200

Abstract

Background

Chronic inflammation has been recognized to foster tumour development. Whether chemotherapy can be used to neutralize chronic inflammation is unclear.

Methods

We evaluated baseline and nadir neutrophils in 111 patients (pts.) with non-small cell lung cancer (NSCLC) and 118 pts. with ovarian cancer (OC) treated with chemotherapy administered with dose-individualization to achieve nadir neutropenia of 1.5. We used predefined baseline neutrophil cut-offs 4.5 × 109/L (NSCLC) and 3.9 × 109/L (OC).

Results

Absence of chemotherapy-induced nadir neutropenia (CTCAE grade 0, neutrophils ≥ LLN) was seen in 23% of OC and 25% of NSCLC pts. Absence of nadir neutropenia was associated with decreased overall survival (OS) compared with presence (>grade 0) of neutropenia (9 vs. 14 months, P = 0.004 for NSCLC and 23 vs. 56 months; P = 0.01 for OC). Obtaining grade 3/4 neutropenia did not improve survival compared with grade 1/2 neutropenia. In multivariate analyses, baseline neutrophils ≥4.5 × 109/L (HR: 2.0; 95% CI: 1.11-3.44;P = 0.02) and absence of nadir neutropenia (HR: 1.6; 95% CI: 1.02-2.65;P = 0.04) for NSCLC and absence of nadir neutropenia (HR: 1.7; 95% CI: 1.04;2.93;P = 0.04) for OC were independently associated with short OS.

Three prognostic neutrophil index (NI) groups were defined. Favourable NI: low baseline neutrophils and presence of nadir neutropenia (>grade 0), Intermediate NI: elevated baseline neutrophils and presence of nadir neutropenia (>grade 0), and Poor NI: elevated baseline neutrophils and absence of nadir neutropenia (grade 0). For NSCLC patients, the median OS was 18.0, 13.4, and 8.8 months for favourable, intermediate and poor NI, respectively (fav vs. poor P = 0.002; fav vs. intermed P = 0.04; and intermed vs. poor P = 0.03). For OC patients, median OS was 69, 52 and 23 months for favourable, intermediate and poor NI, respectively (fav vs. poor P = 0.03; fav vs. intermed P = 0.3; and intermed vs. poor P = 0.02). Interestingly, survival rates in the intermediate NI groups indicated that individualised dose of chemotherapy to induce neutropenia may partly overcome the negative impact of elevated baseline neutrophils.

Conclusions

A neutrophil index comprising elevated baseline neutrophils and absence of neutropenia identified a high risk group of NSCLC and ovarian cancer patients with only modest effect of chemotherapy. New treatment options for this subset of patients are required.

Keywords: Lung cancer, Ovarian cancer, Neutrophils, Tumour microenvironment, Prognostic factor

Background

Although cancer begins as a single cell and initially develops as a clone, by the time a tumour is clinically detectable, it is no longer a mass of isolated, identical, neoplastic cells [1]. It has been realized that tumours are composed of an assemblage of cell types that communicate and collaborate, including cancer cells, cancer stem cells, endothelial cells, pericytes, fibroblasts and tumour-promoting inflammatory cells [2]. Thus, multiple non-malignant cell types are recruited to become components of the tumour and contribute to the hallmarks of cancer [3].

Among inflammatory cells, the realisation of the negative effect of neutrophils has recently begun to emerge [4]. Several studies have demonstrated that tumours stimulate neutrophils to promote angiogenesis and immunosuppression, as well as migration, invasion, and metastasis [5]. In clinical trials, the prognostic role of tumour-infiltrating neutrophils, elevated blood neutrophils, and elevated blood neutrophil/lymphocyte ratio has been clearly associated with poor clinical outcome in several human cancers, most notably in renal cell carcinoma, melanoma, colorectal cancer, hepatocellular carcinoma, cholangiocarcinoma, glioblastoma, GIST, gastric, esophageal, lung, ovarian, head and neck, and cervical cancer [6-8]. A striking finding is the notion that high baseline neutrophil count hinder benefit from surgery, chemoradiotherapy, radiofrequency ablation, and chemotherapy [6]. Consequently, neutrophils, in addition to tumour cells, are potential targets for cancer therapy [9,10].

Traditionally, neutropenia in relation to chemotherapy has been regarded as a harmful side effect that should be avoided. However, several retrospective studies have suggested an inferior outcome for patients failing to achieve mild neutropenia during chemotherapy for breast, ovarian, and non-small cell lung cancers (NSCLC) as well as Hodgkin’s lymphoma [11-21] and for targeted therapy with sunitinib, cetuximab and imatinib [22-25]. Nevertheless, it is unclear whether baseline and nadir neutrophils are linked in the individual patient.

In the present study, we evaluated the prognostic impact of combined baseline and nadir neutrophils in an institution with a standard practise of individualizing chemotherapy dosing upwards or downwards to achieve target nadir neutropenia of 1.5 × 109/L [26,27]. We chose patients with NSCLC and ovarian cancer (OC) as predefined baseline neutrophil cutoff values of 4.5 × 109/L and 3.9 × 109/L, respectively, have been determined from previous studies [28,29]. We identified a new prognostic neutrophil index by combining baseline and nadir neutrophil values in patients with NSCLC and ovarian cancer.

Methods

Patient population

Data from patients diagnosed with non-small cell lung cancer (stage III-IV) and advanced ovarian cancer (stage I-IV) treated with chemotherapy between 1997 and 2005 were collected from patient records at the Department of Medical Oncology at Crown Princess Mary Cancer Centre Westmead in Sydney Australia.

Eligibility criteria were a complete medical record within three cycles of chemotherapy and a full set of baseline and nadir laboratory data. All available medical files were reviewed and a number of files were excluded due to lack of essential data. Patients routinely had a nadir blood count measured 10 to 17 days after chemotherapy or as appropriate according to schedule. The highest grade of myelosuppression at nadir was recorded. Demographics, type of chemotherapy, use of G-CSF, clinical, laboratory, and survival data were collected. Stage was graded according to TNM 2002 or FIGO 1998 as appropriate. No upfront G-CSF was used. Toxicity and laboratory data were graded according to CTCAE v.3.0. Survival data were updated May 2010.

The study has received institutional review board and Ethics Committee approval. (Sydney West Area Health Service Human Research Ethics Comitee). Since this was a non-interventional, retrospective, subject-anonymized study, written patient consent was not required by the ethics committee.

Treatment and toxicity-adjusted dose modification

A protocol of chemotherapy-toxicity adjusted dosing (CTAD) was implemented as clinical standard practice in the mid-1990s at the institution [26]. After an initial administration of chemotherapy based on standard body surface area, subsequent doses were adjusted upwards or downwards in each patient to yield target nadir neutrophil count of 1.5 × 109/L (i.e. CTCAE grade 1 neutropenia). If target neutropenia was not reached and other haematological or non-haematological toxicity was ≤ Grade 2, the subsequent dose of chemotherapy was increased by 15-20%. In contrast, if the patient experienced significant non-haematological toxicity > Grade 2 toxicity or severe neutropenia, the dose was reduced by 15-20%. Otherwise the dose remained unchanged [26].

Statistical analysis

Summary statistics were performed to estimate relevant baseline patient demographic and disease characteristics. Relative chemotherapy intensity was calculated as the actual cumulated dose of chemotherapy divided by the standardized cumulated dose according to expected number of chemotherapy cycles. The impact on outcome was explored for all patients in each tumour type as well as in the subgroups of patients receiving the most frequent chemotherapy regimen.

Based on previous studies identifying baseline neutrophil count as independent prognostic factors in NSCLC [28] and ovarian cancer [29] baseline neutrophil counts were dichotomized according to the pre-defined cutoff values of 4.5 × 10^9/L for NSCLC and 3.9 × 10^9/L for ovarian cancer. Patients who developed various CTCAE version 3 grades of myelosuppression were compared with those who did not. The relationship between assessed parameters and overall survival (OS) was evaluated using the method of Kaplan–Meier and log-rank tests. Multivariate Cox regression models were constructed to report hazard ratios (HRs) for OS. Factors with P < 0.1 in univariate analysis were dichotomized, except for age which was treated as a continuous variable, and included in the multivariate model.

For NSCLC patients age, performance status, tumour stage, presence of bone metastases, baseline haemoglobin level, baseline neutrophil count above the predefined cut-off, nadir neutropenia grade ≥0, and relative chemotherapy intensity were included in the multivariate analysis.

For ovarian cancer patients age, performance status, FIGO stage, presence of ascites, residual disease, normalisation of CA125, baseline neutrophil count above the predefined cut-off, and nadir neutropenia grade ≥0 were included in the multivariate analysis.

Differences in baseline neutrophil count in different tumour stages was compared with either the nonparametric Mann–Whitney test (NSCLC patients) or Kruskal-Wallis test (ovarian cancer patients).

All reported P-values were two-tailed; an alpha-value below 0.05 was considered statistically significant. The analyses were performed using SPSS version 20.0.0 (IBM Corporation, NY, USA).

Results

A total of 111 patients with non-small cell lung cancer (NSCLC) and 118 patients with ovarian cancer (OC) fulfilled inclusion criteria for the present study. Patient characteristics are shown in Tables 1 and 2. For NSCLC patients, 71 (64%) achieved ≥ grade 2 nadir neutropenia (i.e., neutrophils <1.5 × 109/L), 15 (14%) achieved grade 1 nadir neutropenia (i.e., neutrophils < LLN to 1.5 x 109/L), and 25 (23%) had no chemotherapy-induced neutropenia (grade 0, i.e., neutrophils ≥ LLN). For ovarian cancer patients 64 patients (54%) achieved ≥ grade 2 neutropenia, 24 (20%) achieved grade 1 neutropenia, and 30 (25%) had no neutropenia (grade 0). One ovarian cancer patient received G-CSF due to neutropenia. Dose increase due to absence of target neutropenia occurred in 19% of NSCLC and 23% of OC patients. Dose reduction due to haematological or non-haematological toxicity occurred in 36% of NSCLC patients and 25% of OC patients.

Table 1.

Patient characteristics for NSCLC patients (N = 111)

Characteristic N %
Median age, years
61
 
Age range, years
32–84
 
Sex
 
 
   Male
53
48
   Female
58
52
NSCLC stage
 
 
   IIIa
23
21
   IIIb
36
32
   IV
52
47
ECOG performance
 
 
   0
51
46
   1
52
47
   2
7
6
   Missing
1
1
Baseline neutrophils ≥ 4.5
 
 
   Yes
90
81
   No
21
19
Tumour Histology
 
 
   Adenocarcinoma
58
52
   All other
53
48
Bone metastases
 
 
   Yes
17
15
   No
90
81
   Missing
4
4
Chemotherapy regimens
 
 
   Carboplatin based
87
78
   Cisplatin based
4
4
   Other 20 18

Abbreviations: NSCLC non-small-cell lung cancer, ECOG Eastern Cooperative Oncology Group.

Table 2.

Patient characteristics for ovarian cancer patients (N = 118)

Characteristic N %
Median age, years
58
 
Age range, years
33–82
 
FIGO stage
 
 
   1
16
14
   2
17
14
   3
71
60
   4
14
12
ECOG performance
 
 
   0
70
59
   1
41
35
   2+
6
5
   Missing
1
1
Baseline neutrophils > 3.9
 
 
   Yes
98
83
   No
20
17
Optimal debulking
 
 
   No
36
31
   Yes
80
68
   Missing
2
<2
Ascites at surgery
 
 
   No
32
27
   yes
79
67
   Missing
7
6
Normalized CA125
 
 
   No
16
14
   yes
96
81
   Missing
6
5
Chemotherapy regimens
 
 
   Carbo + Tax
73
62
   Carbo monotherapy
33
28
   Carbo + other 12 10

Abbreviations: FIGO International Federation of Gynaecology and Obstetrics, ECOG Eastern Cooperative Oncology Group; CA125 Cancer Antigen 125; Carbo Carboplatin; Tax Taxol (Paclitaxel).

Impact of baseline and nadir neutrophils in univariate analyses

Non-small cell lung cancer

Overall median survival was 13.0 months for NSCLC patients with a median follow-up of 6.7 years. Patients failing to achieve any grade of nadir neutropenia (i.e., neutrophils ≥ LLN) after chemotherapy had decreased survival rate compared with patients who obtained any grade of neutropenia (i.e. >grade 0 neutropenia), median survival 9 vs. 14 months; (P = 0.004). Obtaining grade 3 or 4 neutropenia did not improve survival rate compared with grade 1 or 2 neutropenia (Figure 1A).

Figure 1.

Figure 1

Kaplan-Meier plot of overall survival for NSCLC patients (A) (N = 111) and ovarian cancer patients (B) (N = 118) stratified for neutropenia grade at nadir. Grade 0, neutrophils ≥ LLN; grade 1, neutrophils < LLN to 1.5 × 109/L; grade 2, <1.5 - 1.0 × 109/L; grade 3, <1.0 – 0.5 × 109/L; grade 4, < 0.5 × 109/L. P-values obtained from log-rank test.

Patients with baseline elevated blood neutrophils above or equal to the predefined cutoff of 4.5 × 109/L had decreased OS compared with patients with baseline neutrophil counts below 4.5, median survival 11.6 vs. 18.0 months; (P = 0.02). The impact of relative dose intensity of chemotherapy was significantly associated with overall survival (P = 0.003). Other factors associated with poor overall survival were performance status >0 (P = 0.08), presence of bone metastases (P = 0.003), Stage IV cancer (P = 0.001), and haemoglobin count below lower limit of normal (P = 0.02).

We observed a non-significant trend towards higher median values of baseline neutrophil counts for NSCLC patients with increasing stage (IIIa vs. IIIB vs. IV; median 5.8, 5.5, and 6.5 × 109/L, respectively; P = 0.13).

Ovarian cancer

Median survival was 50 months for all ovarian cancer patients with a median follow-up time of 9.0 years. Patients who failed to achieve neutropenia (i.e., neutrophils ≥ LLN, grade 0 neutropenia) had less than half the median survival compared to patients achieving any grade of neutropenia (23 vs. 56 months; P = 0.01). Obtaining grade 3 or 4 neutropenia did not improve survival rate compared with grade 1 or 2 neutropenia (Figure 1B). We observed no statistically significant survival impact of baseline elevated neutrophils above or below the predefined cutoff of 3.9x109/L (P = 0.3). Relative chemotherapy dose did not impact overall survival (HR 1.00; 95% CI 0.98–1.03; P = 0.6). Other factors significantly associated with poor overall survival were performance status >0 (P = 0.001), residual disease >1 cm (P = 0.0001), presence of ascites (P = 0.0001), and failure to normalize serum CA125 (P = 0.003).

We observed a non-significant trend towards higher baseline neutrophil counts with increasing FIGO stage (I, II, III, and IV; median 4.8, 5.3, 5.9, and 7.2 × 109/L, respectively; P = 0.08).

Multivariate analyses

For NSCLC patients factors independently associated with short survival in multivariate analysis were failure to achieve neutropenia with chemotherapy (i.e., grade 0 neutropenia), baseline neutrophil count above or equal to 4.5 × 109/L, relative chemotherapy intensity <100%, and TNM stage IV (Table 3).

Table 3.

Multivariate analysis of association between on-treatment neutropenia and OS for non-small cell lung cancer and ovarian cancer

Tumour type HR for death (95% CI) P-value
NSCLC
 
 
  Neutropenia grade 0
1.6 (1.02;2.65)
0.04
  Baseline neutrophils ≥ 4.5
2.0 (1.11;3.44)
0.02
  Stage IV cancer
1.8 (1.18;2.71)
0.006
  Relative chemo intensity < 100%
1.7 (1.11;2.60)
0.01
Ovarian cancer
 
 
  Neutropenia grade 0
1.7 (1.04;2.93)
0.04
  Residual disease > 1 cm
2.9 (1.73;4.81)
0.0001
  Age at diagnosis
1.02 (1.00;1.05)
0.04
  Ascites present
2.2 (1.11;4.23)
0.02
  CA125 not normalized 3.2 (1.75;6.00) 0.0001

Factors with multivariate significance level <0.05 are shown.

Abbreviations: OS overall survival; NSCLC Non-Small Cell Lung Cancer; Grade 0 neutropenia at nadir ≥ 2.0 × 10^9/L; CA125 Cancer antigen 125.

For ovarian cancer patients the following factors were independently associated with short survival in multivariate analysis: failure to achieve neutropenia with chemotherapy (i.e., grade 0 neutropenia), minimal residual disease >1 cm, increasing age, presence of ascites, and failure to normalize CA125 after chemotherapy (Table 3).

Impact of baseline and nadir neutrophil index

To evaluate the combined prognostic impact of both baseline and nadir neutrophils we performed a four-group analyses. Based on predefined baseline neutrophil cutoff values and nadir neutropenia grade (0 vs. >0), we identified a favourable neutrophil index prognostic group (comprising patients with low baseline neutrophils and presence (>grade 0) of nadir neutropenia), an intermediate neutrophil index prognostic group (comprising patients with elevated baseline neutrophils and presence (>grade 0) of nadir neutropenia), and a poor neutrophil index prognostic group (comprising patients with elevated baseline neutrophils and absence of (grade 0) nadir neutropenia). The fourth potential group of low baseline neutrophils and grade 0 nadir neutropenia comprised only 4 patients with ovarian cancer and no NSCLC patients, and was therefore not classified. For NSCLC patients, the median OS was 18.0, 13.4, and 8.8 months for favourable, intermediate and poor neutrophil index prognostic group, respectively (Figure 2A): (favourable vs. poor P = 0.002, favourable vs. intermediate P = 0.04, intermediate vs. poor P = 0.03). Number of dose increase and dose reduction in the intermediate group was not statistically different from the poor prognostic group. For ovarian cancer patients, median OS was 69, 52 and 23 months for favourable, intermediate and poor neutrophil index prognostic group, respectively (Figure 2B): favourable vs. poor P = 0.03, favourable vs. intermediate P = 0.3, intermediate vs. poor P = 0.02. A significantly higher number of patients in the intermediate group had dose reduction compared with the poor prognostic group (P = 0.017) whereas no difference in dose increase or relative chemotherapy dose intensity was observed between the intermediate and poor prognostic group.

Figure 2.

Figure 2

Kaplan-Meier plot of overall survival for NSCLC patients (A) (N = 111) and ovarian cancer patients (B) (N = 118) stratified for favourable neutrophil index (NI) (low baseline neutrophils and presence of nadir neutropenia), intermediate neutrophil index (elevated baseline neutrophils and presence of nadir neutropenia), and poor neutrophil index (elevated baseline neutrophils and absence of nadir neutropenia) prognostic group. A fourth group with low baseline neutrophils and absence of nadir neutropenia comprised only 4 patients with ovarian cancer and no NSCLC, and was not classified.

Discussion

To our knowledge, this is the first study to identify a prognostic neutrophil index in non-small cell lung cancer (NSCLC) and ovarian cancer patients taking into account both pre-treatment and post-treatment neutrophils. Using baseline and nadir neutrophils in a combined prognostic index we were able to identify a subgroup of patients - with baseline neutrophils above the pre-defined cutoffs and failure to achieve neutropenia following chemotherapy - who had a dismal prognosis comprising approximately one quarter of the patient population. In this poor neutrophil index group it appears that chemotherapy had minimal impact for resolution or neutralization of the negative effect of neutrophils despite the use of a protocol designed to induce neutropenia. It is unknown whether further dose escalation in those individuals would have had a positive benefit. It might be that the effect of chemotherapy in these patients has reached its ceiling and other means of therapy are required [3]. In contrast, patients with baseline neutrophils below the pre-defined cutoff and who obtained neutropenia below lover limit of normal (>grade 0) did benefit from chemotherapy and had a two to three-fold better overall survival.

High baseline neutrophil count hinder benefit from surgery, chemoradiotherapy, radiofrequency ablation, and chemotherapy in several human cancers (reviewed in [6]). Our findings validate the cutoff baseline neutrophil count above or equal to 4.5 × 109/L in NSCLC patients previously identified by Teramukai et al.[28] as an independent prognostic factor for poor outcome. Other studies in NSCLC have also demonstrated an adverse prognostic effect of high baseline neutrophil count [30-34]. Data from the Teramukai study also suggested a link between high pre-treatment neutrophil count and increased treatment-related non-haematological toxicity. The incidence of grade 3 or 4 non-haematological toxicity within the first three cycles of treatment was significantly higher in the high-neutrophil group compared to the low neutrophil group. Moreover, none of the patients in the high-neutrophil group who experienced grade 3 or 4 non-haematological toxicity within the first three cycles completed the planned six cycles [28]. This data suggests that simply increasing the dose of chemotherapy to induce neutropenia may be difficult to achieve in those patients with a high neutrophil count. However, it should be noted that in the study by Teramukai, 47% of patients had elevated baseline neutrophil count above 4.5, whereas in our study we had 81% of patients with elevated baseline neutrophil count above 4.5. This means that we have a higher proportion of patients in our study with poor prognostic features. Nonetheless, we were able to demonstrate benefit from chemotherapy in a group of patients.

High neutrophil count has been shown to be negative prognositc factor for other tumour types. In colorectal cancer patients treated with anti-VEGF containing regimens, elevated neutrophil count predicted poor OS and RFS [35]. In gastrointestinal stromal tumours (GIST) elevated baseline neutrophil count correlated with initial as well as late resistance to imatinib treatment [36]. In metastatic renal cell carcinoma, elevated baseline blood neutrophil count has been integrated as a validated prognostic factor in the Heng criteria for patients treated with targeted therapy [37] and both elevated blood neutrophils as well as presence of intratumoural neutrophils were independently correlated with poor survival in patients treated with cytokines [38]. Taken together, elevated neutrophils have serious clinical implications. However, we were unable to confirm the cutoff baseline neutrophils count above 3.9 × 109/L in ovarian cancer patients identified by Banerjee et al.[29], probable due to small sample size in our series.

Treatment-induced neutropenia was found to be an independent favourable variable in our population. Approximately one quarter of the patients failed to achieve any neutropenia despite the use of a chemotherapy toxicity adjusted protocol, where the goal was to induce neutropenia, and these patients had a worse survival. Moreover, we observed that severe neutropenia (i.e., grade 3–4) was no better than mild neutropenia (i.e., grade 1–2) but that both were better than no neutropenia (i.e., grade 0) in terms of improved median survival. In other words, it is the presence, but not the severity, of neutropenia that is prognostic. Similar to our results, Di Maio et al. [13] and Kishida et al. [15] have previously shown an inferior survival in NSCLC patients who experienced no treatment-related neutropenia (grade 0) but that no apparent additional benefit was seen with higher than grade 1 neutropenia. If validated prospectively, these findings may impact future routine clinical practice.

The novel, important finding from our data, that may have practical implications, is that among patients with higher baseline neutrophils, approximately 75% obtained neutropenia > grade 0 following chemotherapy and subsequently had a significantly improved overall survival compared to those 25% who experienced no neutropenia. These figures were almost identical in NSCLC and OC patients. Similar assessments have been done in colorectal cancer using neutrophil/lymphocyte ratio (NLR) as a marker [39]. Baseline blood NLR (>5) was shown to independently predict poor OS. Importantly, normalization of the NLR after one cycle of chemotherapy was observed in a subset of patients, which resulted in a 2-month PFS improvement (5.8 vs. 3.7 months) compared with patients without NLR normalization [39]. However, normalization of the NLR after one cycle of chemotherapy did not result in a statistically significant improvement in OS compared with patients without NLR normalization. No chemotherapy dose individualization was done in these patients based on toxicity or nadir neutrophil count, as was done in our study. Thus, these data imply that not all patients with elevated baseline neutrophil are “protected from the benefits of chemotherapy” as suggested by Maione et al. [40]. In our series both the higher baseline count and absence of treatment-induced neutropenia were independent adverse prognostic factors and thus were not linked. Moreover, the relative dose intensity of chemotherapy was an independent prognostic factor in NSCLC. This implies that the dose of chemotherapy matters and may partially overcome the negative effects of an elevated baseline neutrophil count. The results in our intermediate prognosis group patients in both cancer groups seem to support this concept. Patients with a relatively high baseline neutrophil count who developed neutropenia from chemotherapy (i.e., the intermediate prognostic group) had a statistically significantly better survival than those patients who did not achieve treatment-induced neutropenia (i.e., the poor prognostic group). However, survival was still lower compared to patients with relatively low neutrophil count at baseline (i.e., the favorable group).

Inflammatory cells, including neutrophils, influence many aspects of cancer initiation, progression and metastatic potential in the tumour microenvironment [41]. Recruitment of neutrophils from the bone marrow to sites of inflammation is a well-documented process guided by chemochine-, lipid-, complement- and N-formylated peptide chemoattractant mediators [5]. However, human studies evaluating at the same point in time peripheral blood inflammatory cells and intratumoural inflammatory cells are scarce. Recently, in resected stage I-IIIA NSCLC patients [8] we demonstrated densities of tumour-associated CD66+ neutrophils and CD163+ macrophages were correlated with adverse clinical prognostic factors as well as CRP and white blood cell (WBC) systemic inflammatory markers. We also demonstrated that elevated blood CRP and WBC were associated with short recurrence free interval (RFS) and overall survival but tumour-associated neutrophils and macrophages were not directly correlated with RFS or overall survival [8]. In patients with metastatic renal cell carcinoma, elevated blood neutrophils as well as presence of CD66b+ intratumoural neutrophils were independently correlated with poor OS in multivariate analysis [38]. This suggests that the tumour microenvironment may have two compartments, a local and a systemic and that both compartments may be important targets for therapy. Assessment of chemotherapy for resolution of chronic inflammation is a new paradigm and should be evaluated further in randomized trials incorporating the neutrophil index in the study design. Targeting chronic inflammation in the tumour microenvironment is an area of intense research. In Table 4 we have outlined drugs approved or in clinical trials that target inflammatory immune cells.

Table 4.

Drugs targeting inflammatory immune cells in the tumour microenvironment of solid tumours (excluding haematological cancers)

CT identifier Drug Method of action Cancer Approved/phase study
Targeting T lymphocytes
NCT01844505
Nivolumab
Anti-PD1
mMM
Phase 3
NCT01642004
Nivolumab
Anti-PD1
NSCLC
Phase 3
NCT01354431
Nivolumab
Anti-PD1
mRCC
Phase 2
NCT00094653
Ipilimumab
Anti-CTLA4
mMM
Approved
NCT00861614
Ipilimumab
Anti-CTLA4
PC
Phase 3
NCT01450761
Ipilimumab
Anti-CTLA4
SCLC
Phase 3
NCT01285609
Ipilimumab
Anti-CTLA4
NSCLC
Phase 3
NCT01693783
Ipilimumab
Anti-CTLA4
Cervical cancer
Phase 2
NCT01860430
Ipilimumab
Anti-CTLA4
HNSCC
Phase 1B
NCT00257205
CP-675,206
Anti-CTLA4
mMM
Phase 3
Blocking immune cell recruitment
NCT01346358
IMC-CS4
CSFR1 antagonist
Advanced tumours
Phase 1
NCT01316822
ARRY-382
CSFR1 antagonist
Advanced tumours
Phase 1
NCT01015560
MLN1202
Anti-CCR2
Bone metastases
Phase 1
NCT01032122
Rituximab
Anti-CD20
mMM
Phase 1
NCT01376713
Ofatumumab
Anti-CD20
mMM
Phase 2
NCT01456585
CP-870,893
Anti-CD40
mPC
Phase 2
NCT01103635
CP-870,893
Anti-CD40
mMM
Phase 1
NCT00607048
CP-870,893
Anti-CD40
Solid tumours
Phase 1
Reprogramming immune cells
NCT00169104
G-CSF
Sustained neutrophilia
mBC
Phase 1/2
NCT00014456
G-CSF
 
Solid tumours
Phase 1
NCT00070629
Promune
TLR9 agonist
NSCLC
Phase 2
NCT00043394
Promune
TLR9 agonist
BC
Phase 2
NCT00070642
Promune
TLR9 agonist
MM
Phase 2
NCT00043407
Promune
TLR9 agonist
RCC
Phase 1/2
NCT00292045
Promune
TLR9 agonist
PC
Phase 1
NCT00669292
Promune
TLR9 agonist
Esophageal cancer
Phase 1/2
Multiple
Vaccines (Multiple targets)
T-cell activation
Multiple cancers
 
TH2-- > TH1 reprogramming
NCT01642290
Anti-OX40
Anti-OX40
mBC
Phase 1/2
NCT01644968
Anti-OX40
Anti-OX40
Advanced cancer
Phase 1
NCT01689870 Anti-OX40 Anti-OX40 mMM Phase 1/2

For an indepth review of the current landscape of targeting chronic inflammation, see Coussens [9]. CT identifier is to clinicaltrials.gov.

Abbreviations: mMM metastatic malignant melanoma, NSCLC non-small cell lung cancer, mRCC metastatic renal cell carcinoma, PC prostate cancer, SCLC small-cell lung cancer, HNSCC head-and-neck squamous cell cancer, mBC metastatic breast cancer.

Further research in the area of chronic inflammation and cancer is encouraged.

Limitations of our study are the low sample size, the retrospective design, inhomogeneous chemotherapy regimens, and patient accrual over a long period of time. Additionally, the requirement for data for three cycles of treatment excludes patients who died early, potentially skewing the survival analysis. However, the present study was conducted in two independent, different tumour types with achievement of almost identical results.

Conclusions

In conclusion, absence of chemotherapy-induced neutropenia was an independent adverse prognostic factor in NSCLC and ovarian cancer patients. By combining baseline elevated neutrophil count and absence of neutropenia, we identified a poor prognostic group who appeared to have little benefit from chemotherapy despite a dose escalation protocol. New treatment options for this subset of patients are required. Importantly, we found an intermediate prognostic group where the induction of neutropenia by chemotherapy may have partially overcome the negative impact of elevated baseline neutrophils leading to a better survival. This has implications for dose individualisation in this subgroup. The combined prognostic neutrophil index comprising both baseline and nadir neutrophil count is a potentially new and important finding that requires validation in larger, prospective studies.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

FD collected patient data and planned the study with AC, HG and HvdM. AC and FD made an equal contribution in data analysis, manuscript planning, and writing. HG participated in manuscript writing and data analysis. VG provided statistical analysis and advice. PH, RH, HG, RK and NW provided patients and revised the manuscript critically. All authors read and approved the final manuscript.

Contributor Information

Andreas Carus, Email: andcar@rm.dk.

Howard Gurney, Email: howard_gurney@wmi.usyd.edu.au.

Val Gebski, Email: val@ctc.usyd.edu.au.

Paul Harnett, Email: paul_harnett@wmi.usyd.edu.au.

Rina Hui, Email: rina_hui@wmi.usyd.edu.au.

Richard Kefford, Email: rick_kefford@wmi.usyd.edu.au.

Nicholas Wilcken, Email: nicholas_wilcken@wmi.usyd.edu.au.

Morten Ladekarl, Email: mortlade@rm.dk.

Hans von der Maase, Email: hans.von.der.maase@rh.hosp.dk.

Frede Donskov, Email: frede.donskov@aarhus.rm.dk.

Acknowledgements

This work was supported by The Danish Cancer Society; The Beckett Foundation; Danish Cancer Research Foundation; Max and Inger Woerzner Foundation; A.P. Moeller and wife Chastine Mc-Kinney Moeller’s Foundation; Jacob Madsens and Olga Madsens Foundation; The Harboe Foundation; The foundation of the family Kjaersgaards, Sunds; The Institute of Clinical Medicine; Radiumstationens Forskningsfond; August Frederik Wedell Erichsens legat; Direktor Emil C. Hertz og Hustru Inger Hertz´ fond; Health Research Fund of Central Denmark Region.

References

  1. Hanahan D, Weinberg RA. The hallmarks of cancer. Cell. 2000;100:57–70. doi: 10.1016/S0092-8674(00)81683-9. [DOI] [PubMed] [Google Scholar]
  2. Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144:646–674. doi: 10.1016/j.cell.2011.02.013. [DOI] [PubMed] [Google Scholar]
  3. Hanahan D, Coussens LM. Accessories to the crime: functions of cells recruited to the tumor microenvironment. Cancer Cell. 2012;21:309–322. doi: 10.1016/j.ccr.2012.02.022. [DOI] [PubMed] [Google Scholar]
  4. Brandau S, Dumitru CA, Lang S. Protumor and antitumor functions of neutrophil granulocytes. Semin Immunopathol. 2013;35:163–176. doi: 10.1007/s00281-012-0344-6. [DOI] [PubMed] [Google Scholar]
  5. Dumitru CA, Lang S, Brandau S. Modulation of neutrophil granulocytes in the tumor microenvironment: mechanisms and consequences for tumor progression. Semin Cancer Biol. 2013;23:141–148. doi: 10.1016/j.semcancer.2013.02.005. [DOI] [PubMed] [Google Scholar]
  6. Donskov F. Immunomonitoring and prognostic relevance of neutrophils in clinical trials. Semin Cancer Biol. 2013;23:200–207. doi: 10.1016/j.semcancer.2013.02.001. [DOI] [PubMed] [Google Scholar]
  7. 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. Br J Cancer. 2013;108:2116–2122. doi: 10.1038/bjc.2013.167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Carus A, Ladekarl M, Hager H, Pilegaard H, Nielsen PS, Donskov F. Tumor-associated neutrophils and macrophages in non-small cell lung cancer: No immediate impact on patient outcome. Lung Cancer. 2013;81:130–137. doi: 10.1016/j.lungcan.2013.03.003. [DOI] [PubMed] [Google Scholar]
  9. Coussens LM, Zitvogel L, Palucka AK. Neutralizing tumor-promoting chronic inflammation: a magic bullet? Science. 2013;339:286–291. doi: 10.1126/science.1232227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Gregory AD, Houghton AM. Tumor-associated neutrophils: new targets for cancer therapy. Cancer Res. 2011;71:2411–2416. doi: 10.1158/0008-5472.CAN-10-2583. [DOI] [PubMed] [Google Scholar]
  11. Poikonen P, Saarto T, Lundin J, Joensuu H, Blomqvist C. Leucocyte nadir as a marker for chemotherapy efficacy in node-positive breast cancer treated with adjuvant CMF. Br J Cancer. 1999;80:1763. doi: 10.1038/sj.bjc.6690594. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Cameron DA, Massie C, Kerr G, Leonard RC. Moderate neutropenia with adjuvant CMF confers improved survival in early breast cancer. Br J Cancer. 2003;89:1837–1842. doi: 10.1038/sj.bjc.6601366. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Di Maio M, Gridelli C, Gallo C, Shepherd F, Piantedosi FV, Cigolari S, Manzione L, Illiano A, Barbera S, Robbiati SF. et al. Chemotherapy-induced neutropenia and treatment efficacy in advanced non-small-cell lung cancer: a pooled analysis of three randomised trials. Lancet Oncol. 2005;6:669–677. doi: 10.1016/S1470-2045(05)70255-2. [DOI] [PubMed] [Google Scholar]
  14. Rocconi RP, Matthews KS, Kemper MK, Hoskins KE, Barnes MN. Chemotherapy-related myelosuppression as a marker of survival in epithelial ovarian cancer patients. Gynecol Oncol. 2008;108:336–341. doi: 10.1016/j.ygyno.2007.10.012. [DOI] [PubMed] [Google Scholar]
  15. Kishida Y, Kawahara M, Teramukai S, Kubota K, Komuta K, Minato K, Mio T, Fujita Y, Yonei T, Nakano K. et al. Chemotherapy-induced neutropenia as a prognostic factor in advanced non-small-cell lung cancer: results from Japan Multinational Trial Organization LC00-03. Br J Cancer. 2009;101:1537–1542. doi: 10.1038/sj.bjc.6605348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Lee CK, Gurney H, Brown C, Sorio R, Donadello N, Tulunay G, Meier W, Bacon M, Maenpaa J, Petru E. et al. Carboplatin-paclitaxel-induced leukopenia and neuropathy predict progression-free survival in recurrent ovarian cancer. Br J Cancer. 2011;105:360–365. doi: 10.1038/bjc.2011.256. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Klimm B, Reineke T, Haverkamp H, Behringer K, Eich HT, Josting A, Pfistner B, Diehl V, Engert A. German Hodgkin Study G. Role of hematotoxicity and sex in patients with Hodgkin’s lymphoma: an analysis from the German Hodgkin Study Group. J Clin Oncol. 2005;23:8003–8011. doi: 10.1200/JCO.2005.205.60. [DOI] [PubMed] [Google Scholar]
  18. Pallis AG, Agelaki S, Kakolyris S, Kotsakis A, Kalykaki A, Vardakis N, Papakotoulas P, Agelidou A, Geroyianni A, Agelidou M. et al. Chemotherapy-induced neutropenia as a prognostic factor in patients with advanced non-small cell lung cancer treated with front-line docetaxel-gemcitabine chemotherapy. Lung cancer (Amsterdam, Netherlands) 2008;62:356–363. doi: 10.1016/j.lungcan.2008.03.030. [DOI] [PubMed] [Google Scholar]
  19. Jang SH, Kim SY, Kim JH, Park S, Hwang YI, Kim DG, Jung KS. Timing of chemotherapy-induced neutropenia is a prognostic factor in patients with metastatic non-small-cell lung cancer: a retrospective analysis in gemcitabine-plus-platinum-treated patients. J Cancer Res Clin Oncol. 2013;139:409–417. doi: 10.1007/s00432-012-1341-9. [DOI] [PubMed] [Google Scholar]
  20. Shimizu T, Yokoi T, Tamaki T, Kibata K, Inagaki N, Nomura S. Comparative analysis of carboplatin and paclitaxel combination chemotherapy schedules in previously untreated patients with advanced non-small cell lung cancer. Oncol Lett. 2013;5:761–767. doi: 10.3892/ol.2013.1134. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Kim JJ, Park JY, Kim DY, Kim JH, Kim YM, Nam JH, Kim YT. Is chemotherapy-induced neutropenia a prognostic factor in patients with ovarian cancer? Acta Obstet Gynecol Scand. 2010;89:623–628. doi: 10.3109/00016341003674913. [DOI] [PubMed] [Google Scholar]
  22. Delbaldo C, Chatelut E, Re M, Deroussent A, Seronie-Vivien S, Jambu A, Berthaud P, Le Cesne A, Blay JY, Vassal G. Pharmacokinetic-pharmacodynamic relationships of imatinib and its main metabolite in patients with advanced gastrointestinal stromal tumors. Clin Cancer Res. 2006;12:6073–6078. doi: 10.1158/1078-0432.CCR-05-2596. [DOI] [PubMed] [Google Scholar]
  23. Fracasso PM, Burris H 3rd, Arquette MA, Govindan R, Gao F, Wright LP, Goodner SA, Greco FA, Jones SF, Willcut N. et al. A phase 1 escalating single-dose and weekly fixed-dose study of cetuximab: pharmacokinetic and pharmacodynamic rationale for dosing. Clin Cancer Res. 2007;13:986–993. doi: 10.1158/1078-0432.CCR-06-1542. [DOI] [PubMed] [Google Scholar]
  24. Donskov F, von Mehren M, Carus A, George S, Casali RG, Li S, Perkins J, Demetri GD. Neutropenia as a biomarker of sunitinib efficacy in patients (Pts) with Gastrointestinal Stromal Tumour (GIST) Eur J Cancer. 2011;47:S135. [Google Scholar]
  25. Donskov F, Carus A, Barrios CH, Escudier B, Li S, Perkins J, Motzer RJ. Neutropenia and thrombocytopenia during treatment as biomarkers of sunitinib efficacy in patients with metastatic Renal Cell Carcinoma (mRCC) Eur J Cancer. 2011;47:S136. [Google Scholar]
  26. Gurney H. How to calculate the dose of chemotherapy. Br J Cancer. 2002;86:1297–1302. doi: 10.1038/sj.bjc.6600139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Gurney H. Dose calculation of anticancer drugs: a review of the current practice and introduction of an alternative. J Clin Oncol. 1996;14:2590–2611. doi: 10.1200/JCO.1996.14.9.2590. [DOI] [PubMed] [Google Scholar]
  28. Teramukai S, Kitano T, Kishida Y, Kawahara M, Kubota K, Komuta K, Minato K, Mio T, Fujita Y, Yonei T. et al. Pretreatment neutrophil count as an independent prognostic factor in advanced non-small-cell lung cancer: an analysis of Japan Multinational Trial Organisation LC00-03. Europn J Cancer (Oxford, England : 1990) 2009;45:1950–1958. doi: 10.1016/j.ejca.2009.01.023. [DOI] [PubMed] [Google Scholar]
  29. Banerjee S, Rustin G, Paul J, Williams C, Pledge S, Gabra H, Skailes G, Lamont A, Hindley A, Goss G. et al. A multicenter, randomized trial of flat dosing versus intrapatient dose escalation of single-agent carboplatin as first-line chemotherapy for advanced ovarian cancer: an SGCTG (SCOTROC 4) and ANZGOG study on behalf of GCIG. Ann Oncol. 2013;24:679–687. doi: 10.1093/annonc/mds494. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Paesmans M, Sculier JP, Lecomte J, Thiriaux J, Libert P, Sergysels R, Bureau G, Dabouis G, Van Cutsem O, Mommen P. et al. Prognostic factors for patients with small cell lung carcinoma: analysis of a series of 763 patients included in 4 consecutive prospective trials with a minimum follow-up of 5 years. Cancer. 2000;89:523–533. doi: 10.1002/1097-0142(20000801)89:3&#x0003c;523::AID-CNCR7&#x0003e;3.0.CO;2-6. [DOI] [PubMed] [Google Scholar]
  31. Ferrigno D, Buccheri G. Hematologic counts and clinical correlates in 1201 newly diagnosed lung cancer patients. Monaldi Arch Chest Dis. 2003;59:193–198. [PubMed] [Google Scholar]
  32. Sarraf KM, Belcher E, Raevsky E, Nicholson AG, Goldstraw P, Lim E. Neutrophil/lymphocyte ratio and its association with survival after complete resection in non-small cell lung cancer. J Thorac Cardiovasc Surg. 2009;137:425–428. doi: 10.1016/j.jtcvs.2008.05.046. [DOI] [PubMed] [Google Scholar]
  33. Tomita M, Shimizu T, Ayabe T, Yonei A, Onitsuka T. Preoperative neutrophil to lymphocyte ratio as a prognostic predictor after curative resection for non-small cell lung cancer. Anticancer Res. 2011;31:2995–2998. [PubMed] [Google Scholar]
  34. Holgersson G, Sandelin M, Hoye E, Bergstrom S, Henriksson R, Ekman S, Nyman J, Helsing M, Friesland S, Holgersson M. et al. Swedish lung cancer radiation study group: the prognostic value of anaemia, thrombocytosis and leukocytosis at time of diagnosis in patients with non-small cell lung cancer. Med Oncol. 2012;29:3176–3182. doi: 10.1007/s12032-012-0247-3. [DOI] [PubMed] [Google Scholar]
  35. Cetin B, Kaplan MA, Berk V, Ozturk SC, Benekli M, Isikdogan A, Ozkan M, Coskun U, Buyukberber S. Prognostic factors for overall survival in patients with metastatic colorectal carcinoma treated with vascular endothelial growth factor-targeting agents. Asian Pac J Cancer Prev. 2012;13:1059–1063. doi: 10.7314/APJCP.2012.13.3.1059. [DOI] [PubMed] [Google Scholar]
  36. Van Glabbeke M, Verweij J, Casali PG, Le Cesne A, Hohenberger P, Ray-Coquard I, Schlemmer M, van Oosterom AT, Goldstein D, Sciot R. et al. Initial and late resistance to imatinib in advanced gastrointestinal stromal tumors are predicted by different prognostic factors: a European organisation for research and treatment of cancer-Italian sarcoma group-Australasian gastrointestinal trials group study. J Clin Oncol. 2005;23:5795–5804. doi: 10.1200/JCO.2005.11.601. [DOI] [PubMed] [Google Scholar]
  37. Heng DY, Xie W, Regan MM, Harshman LC, Bjarnason GA, Vaishampayan UN, Mackenzie M, Wood L, Donskov F, Tan MH. et al. External validation and comparison with other models of the International Metastatic Renal-Cell Carcinoma Database Consortium prognostic model: a population-based study. Lancet Oncol. 2013;14:141–148. doi: 10.1016/S1470-2045(12)70559-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Donskov F, von der Maase H. Impact of immune parameters on long-term survival in metastatic renal cell carcinoma. J Clin Oncol. 2006;24:1997–2005. doi: 10.1200/JCO.2005.03.9594. [DOI] [PubMed] [Google Scholar]
  39. 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. doi: 10.1038/bjc.2011.100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Maione P, Rossi A, Di Maio M, Gridelli C. Tumor-related leucocytosis and chemotherapy-induced neutropenia: linked or independent prognostic factors for advanced non-small cell lung cancer? Lung Cancer (Amsterdam, Netherlands) 2009;66:8–14. doi: 10.1016/j.lungcan.2009.02.022. [DOI] [PubMed] [Google Scholar]
  41. DeNardo DG, Johansson M, Coussens LM. Immune cells as mediators of solid tumor metastasis. Cancer Metastasis Rev. 2008;27:11–18. doi: 10.1007/s10555-007-9100-0. [DOI] [PubMed] [Google Scholar]

Articles from Journal of Translational Medicine are provided here courtesy of BMC

RESOURCES