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 × 10
9/L [
26,
27]. We chose patients with NSCLC and ovarian cancer (OC) as predefined baseline neutrophil cutoff values of 4.5 × 10
9/L and 3.9 × 10
9/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 × 10
9/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).
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 × 10
9/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 × 10
9/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)
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 |
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.
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.