Open Access

Factors of interrupting chemotherapy in patients with Advanced Non-Small-Cell Lung Cancer

  • Rhizlane Belbaraka1, 2Email author,
  • Olivier Trédan1,
  • Isabelle Ray-Coquard1,
  • Giselle Chvetzoff1,
  • Agathe Bajard3,
  • David Pérol1,
  • Nabil Ismaili2,
  • Mohammed Ismaili4,
  • Hassan Errihani2,
  • Thomas Bachelot1 and
  • Paul Rebattu1
BMC Research Notes20103:164

DOI: 10.1186/1756-0500-3-164

Received: 16 March 2010

Accepted: 10 June 2010

Published: 10 June 2010

Abstract

Background

Little is known about prognosis of metastatic patients after receiving a first-line treatment and failure. Our group already showed in pre-treated patients enrolled in phase I clinical trials that a performance status (PS) > 2 and an LDH > 600 UI/L were independent prognostic factors. In this prospective study, which included 45 patients, we identified clinical and biological variables as outcome predictors in metastatic Non-Small Cell lung cancer after first line chemotherapy were identified.

Findings

Forty-five patients that were previously treated for metastatic disease from 12/2000 to 11/2005 in the comprehensive cancer centre (Centre Léon Bérard). Clinical assessment and blood parameters were recorded and considered. Patient prognostic factors for overall survival (OS) with a 0.05-significance level in univariate analysis were entered in a multivariate Cox model for further analysis.

Patients' median age was 58.5 years (range: 37 - 76). Sixty two percent of the patients were PS = 0 or 1. After inclusion, nine patients received second-line (22.5%), and two received third-line chemotherapy (5%). Univariate analysis showed that the factors associated with reduced OS were: PS > 2, weight loss >10%, more than one line of chemotherapy treatment and abnormal blood parameters (hemoglobin (Hb), platelet and neutrophils counts). Multiple regression analysis confirmed that PS > 2 and abnormal hemoglobin were independent predictors for low overall survival. According to the presence of none (33%), 1 (37%) and 2 (30%) prognostic factors, median OS were 12, 5 and 2 months respectively.

Conclusion

From this prospective study, both PS and anemia were found as independent determinants of survival, we found that both PS and anemia were independent determinants of survival. The combination of poor PS and anemia is an effective strategy to predict survival in the case of patients with metastatic NSCLC receiving further treatment after the first line.

Findings

Prediction of survival in the case of advanced non-small cell lung cancer (NSCLC), when patients have already received first line treatment, is critical to the decision of subsequent treatments. Defining prognostic determinants of NSCLC may help physicians to improve their decisions making for both clinical trials and routine practice [1].

Many studies have reported predictive models for survival in metastatic cancers. These models integrated a combination of clinical and biological factors. Biological characteristics such as lactate dehydrogenase level (LDH) [4], lymphocyte count [2, 3], or Interleukin 6 level [5, 6] have been correlated with poor outcome in metastatic cancer.

In this study, we aimed to identify clinical and biological variables as outcome predictors for early death in locally advanced or metastatic NSCLC in patients treated beyond the first line chemotherapy failure.

Patients and methods

The investigation was a prospective, observational, single-centre study.

Inclusion criteria were: patients > 18 years old with locally Advanced or metastatic NSCLC who were eligible for further chemotherapy after first line chemotherapy failure.

Exclusion criteria were: new patients who had not yet received any chemotherapy.

Written consent was obtained from each patient. The institutional ethics committee approved the study protocol before implementation, on March 17, 2000.

The primary objective of this study was to identify clinical and biological variables as prognostic factors for metastatic NSCLC patients after failure of first line chemotherapy.

These variables were collected at inclusion: age, gender, Eastern Cooperative Oncology Group (ECOG) PS, weight loss, number and sites of metastases, previous and current chemotherapy regimens. In addition to laboratory tests which included complete blood accounts (hemoglobin, neutrophils, lymphocytes), albumin, LDH and C-reactive protein (CRP) levels. According to our previous studies, the cutoff of each biological parameter was defined as follows: the albumin level +/- 38 g/l, the lymphocytes count +/- 700 μL [2, 3], the LDH level +/- 600 U/L [4], and anemia was defined as hemoglobin level (Hb) less than 11.5 g/dL for female and less than 13.0 g/dL for male.

Statistical considerations

Survival analysis: the primary outcome was overall survival, defined as the time from inclusion to death or to last follow-up. Survival distributions in prognostic groups were estimated by the Kaplan-Meier method.

Univariate and multivariate analysis: to evaluate the relationship between survival and baseline characteristics, all clinical and biological variables were included in univariate Cox proportional hazard regression models. The log-rank test was used to compare survival curves. Candidate prognostic factors for overall survival with a 0.05 level of significance in univariate analysis were entered in a multivariate Cox model.

Results

Patients' characteristics (Table 1)

Table 1

Patients' characteristics

Patients Characteristics

Number (Percent)

Total

45 (100)

Age, years

 

   Median

58.5

   Range

34.7 - 76.9

Gender

 

   Male

30 (66.7)

   Female

15 (33.3)

ECOG Performance Status

 

   Assessed by the physician

 

0

4 (9.3)

1

23 (53.5)

>1

16 (37.2)

   Self-assessed by the patient

 

0

0 (0.0)

1

17 (37.8)

>1

28 (62.2)

Weight loss > 10%

6 (14.0)

Number of metastases

 

   1

8 (18.2)

   2

21 (47.7)

   >2

15 (34.1)

Site of metastases

 

   Bone

11 (24.4)

   Liver

14 (31.1)

   Lung

28 (62.2)

   Brain

12 (26.7)

Previous treatment

 

   Adjuvant chemotherapy

4 (8.9)

   Treatment completed

 

First-line

29 (72.5)

Second-line

9 (22.5)

>Second-line

2 (5.0)

Treatment after inclusion

 

   Palliative chemotherapy

45 (100.0)

Between 2000 and 2005, 45 patients with metastatic NSCLC were included in the study. Their characteristics are summarized in table 1. Thirty patients were male (75%) and fifteen female (25%). Median age was 58.5 years (range 37-76). Sixty two percent had PS 0 -1. Only 6 patients (14%) had a weight loss of 10% or more in the previous six months.

All patients received platinum based first line chemotherapy. Prior to inclusion, 9 patients received second line treatment and two patients received third line chemotherapy treatment (single agent Docetaxel or Gemcitabine).

Biological variables are summarized in Table 2. All laboratory data were available for all patients. Majority of the patients presented anemia (65%), low albumin level (77.5%) and high CRP level (54%).
Table 2

Biological tests

Parameters

Number (Percent)

Hemoglobin

 

   Abnormal (<11.5 g/dL for female; <13.0 g/dL for male)

29 (64.4)

Absolute Neutrophil Count

 

   <2000/μL

1 (2.2)

   2000-7500/μL

31 (68.9)

   >7500/μL

13 (28.9)

Lymphocyte count

 

   <700/μL

20 (46.5)

   700-1000/μL

10 (23.3)

   ≥1000/μL

13 (30.2)

   Missing data

2

Platelet count

 

   <130 G/L

5 (11.1)

   130-400 G/L

33 (73.3)

   >400 G/L

7 (15.6)

Albumin

 

   <38 g/L

31 (77.5)

   Missing data

5

LDH

 

   >600 U/L

10 (27.0)

   Missing data

8

CRP

 

   ≤10 mg/L

15 (45.5)

   10-50 mg/L

8 (24.2)

   >50 mg/L

10 (30.3)

   Missing data

12

LDH: lactate dehydrogenase; CRP: C-reactive protein;

Survival

Because almost all patients died (42/45), the Kaplan- Meier method have not been used to calculate the follow-up. To estimate it, we provide the median of the delays of survival for all patients, which was 3.1 months (range: 0.2 - 46.7 months).

Univariate analysis showed that six variables were correlated with poor outcome (p < 0.05).

As clinical parameters, we found PS > 1, weight loss (<10%) and more than one line of chemotherapy treatment. Anemia, platelet level < 130000 and IL6 > 8 pg/ml were also associated with poor clinical outcome. Table 3 summarized results of prognostic parameters using univariate and multivariate analysis.
Table 3

Prognostic parameters on univariate and multivariate analysis for lung cancer patients

 

Univariate analysis

Multivariate analysis

 

HR

95% CI

p

HR

95% CI

p

ECOG Performance Status assessed by the physician

0-1

>1

3.641

[1.743-7.607]

0.0006

3.279

[1.546-6.955]

0.0020

Hemoglobin

Normal

Abnormal†

2.941

[1.401-6.172]

0.0044

2.781

[1.290-5.997]

0.0091

Platelet count (G/L)

≥130

<130

4.023

[1.512-10.703]

0.0053

  

NS

Weight loss >10%

No

Yes

2.633

[1.079-6.423]

0.0334

  

NS

Number of metastases

≤2

>2

1.776

[0.913-3.453]

0.0904

  

NS

Number of chemotherapy lines

≤1

>1

  

0.0305

  

NS

Albumin (g/L)

≥38

<38

1.585

[0.722-3.481]

0.2510

  

-

CRP (mg/L)

≤10

>10

1.499

[0.718-3.132]

0.2812

  

-

Lymphocyte Count

≥700/μL

<700/μL

1.297

[0.684-2.462]

0.4258

  

-

Liver metastases

No

Yes

0.809

[0.415-1.581]

0.5359

  

-

Quality of life using 0-10 VAS

≥5

<5

0.841

[0.445-1.592]

0.5953

  

-

Age (years)

≤60

>60

0.919

[0.495-1.710]

0.7907

  

-

Previous adjuvant chemotherapy

No

Yes

0.863

[0.265-2.816]

0.8074

  

-

LDH (U/L)

≤600

>600

1.079

[0.501-2.326]

0.8462

  

-

Absolute Neutrophil Count

≥2

<2

1.190

[0.161-8.801]

0.8648

  

-

LDH: lactate dehydrogenase; CRP: C-reactive protein; VAS: visual analog scale. †<11.5 g/dL for female; <13.0 g/dL for male

Multivariate analysis showed that only two variables were statistically correlated with significant poor prognosis (p < 0.05): PS > 1 and anemia. Figures 1 and 2 showed the relationship between PS or Hb level and overall survival. The median survival was 2 months when PS > 1 versus 8 months when PS: 0-1. The median survival was 3 months when Hb level was abnormal versus 9 months when Hb level was normal.
https://static-content.springer.com/image/art%3A10.1186%2F1756-0500-3-164/MediaObjects/13104_2010_Article_568_Fig1_HTML.jpg
Figure 1

Relationship between performance status and overall survival

https://static-content.springer.com/image/art%3A10.1186%2F1756-0500-3-164/MediaObjects/13104_2010_Article_568_Fig2_HTML.jpg
Figure 2

Relationship between hemoglobin level and overall survival

We can then define 4 groups of survival. Figure 3 show the results of the analysis of 0, 1 or 2 prognostic factors with Kaplan-Meier overall survival analysis. Group1 (13 patients) was a poor outcome group with only 1.9 months median survival (CI95: 0.9-2.3) and had a PS > 1 and anemia.
https://static-content.springer.com/image/art%3A10.1186%2F1756-0500-3-164/MediaObjects/13104_2010_Article_568_Fig3_HTML.jpg
Figure 3

Results of analysis of 0, 1 or 2 prognostic factors with Kaplan-Meier overall survival analysis

Group 2 (13 patients) was a good outcome group with 12.1 months median survival (CI95: 3.1-26.4) and had a PS: 0-1 and normal Hb.

In addition, two intermediate groups were identified: one with a PS > 1 and normal Hb (3 patients) and had a median survival of 2.6 months (CI95: 2.3-NA), and a second with a PS: 0-1 and anemia (14 patients) and had a median survival of 5.3 months (CI95: 2.5-6.4).

Discussion

From this prospective study, we found that both PS and anemia were independent prognostic factors of survival for metastatic NSCLC patients who relapsed after the first line chemotherapy. The combination of poor PS and anemia is an effective strategy to predict survival and then to select patients who may be will not benefit from further chemotherapy.

Up till now, most widely accepted prognostic determinants are disease stage and performance status [8]. Many large trials considered other features such as male gender, age older than 60 years, non-squamous histologics, weight loss as stratification factors insofar as they have been reported as negative prognostic factors [9].

As in other types of cancer, PS plays a clear prognostic role in advanced NSCLC. In all the retrospective and prospective trials regarding prognostic factors in this disease, PS has been shown to be an independent prognostic parameter [10].

For example, a series of 14 South Western Oncology Group (SWOG) trials, where 2531 patients with inoperable lung cancer were recruited during 1974 -1988 in order to investigate the impact that 50 prognostic factors had on survival, revealed that performance status, extent of disease, and weight loss were among the most important ones [11]. The median survival was found to be 6.7 months in PS 0,1 patients and 3. 8 months in PS 2 patients.

For patients with good PS, pretreatment Hb level >= 11 g/dl, normal LDH, calcium levels and a single metastatic site were favorable factors [11]. A recursive partitioning and amalgamation analysis showed that the best survival occurred in patients with good PS who had Hb levels >= 11 g/dl and were older than 47 years.

Further more, the Eastern Cooperative Oncology Group (ECOG) in a five phase II/III trials performed on 1960 patients with advanced NSCLC during 1981-1994 and treated with cisplatin-based chemotherapy showed a median survival of 9.4 months for patients with PS0, 6.4 months for patients with PS1, and 3.3 months for patients with PS2, confirming once again the prognostic value of performance status [12, 13].

In our study, performance status (PS) was also identified as independent prognostic factor. Median survival was 8 months in PS: 0-1 patients, and 2 months in PS >1 patients.

Of all clinical and biological factors analyzed, PS and anemia were the only variables statistically significant in multivariate analysis. Neither presence of brain metastases nor a weight loss could predict patients' survival.

Anemia is commonly observed in lung cancer and is a major contributing factor to fatigue and decreased quality of life (QOL) [14]. Hemoglobin levels at the time of diagnosis can be considered as prognostic indicator in patients with NSCLC. Low hemoglobin levels are associated with decreased survival. The evaluation of this parameter can be used for a more accurate prognosis in this disease and a better adequacy of therapeutic indications [15].

Anemia is the most frequently observed haematological abnormality faced by cancer patients.

Yet, its association to tumour biology is not well understood. Several recent retrospective clinical studies showed that anemia is not only a negative prognostic factor but also, in some situations, a negative predictive parameter in chemotherapy-treated patients with solid tumours or haematological malignancies. These include lymphomas, leukaemias, non-small-cell lung cancer, ovarian cancer, cervical cancer, urothelial and renal cancers, and head and neck carcinoma [16, 17].

The treatment of anemia in patients with cancer undergoing chemotherapy may improve outcome in terms of both response rate to treatment and survival.

Several clinical signs have been shown to be prognostically important in terminally ill cancer patients [18]. Symptoms like anorexia-cachexia syndrome or delirium and cognitive impairment are related with end-of-life and therefore are not relevant for patients undergoing chemotherapy. Other clinical signs, such as dyspnea and weight loss, have also proven effective to predict life expectancy. When choosing between chemotherapy and supportive care alone, patients' preferences should be taken into account, considering that most patients are willing to accept chemotherapy for a very small chance of benefit.

Conclusion

The decision to stop chemotherapy is one of the hardest challenges in oncology practice. Chemotherapy remains widely prescribed for terminally ill patients despite side effects and poor efficacy.

From our prospective observational study, we concluded that factors influencing survival on patients with Advanced Non-Small-Cell lung cancer, who had at least one line of chemotherapy treatment, were anemia and poor PS. Larger prospective studies seem necessary to develop prognostic test scores, adapted to NSCLC, which may help clinicians estimate patients' survival and make appropriate recommendations for active or supportive care to develop prognostic scores, which may help clinicians estimate patients' survival and make appropriate recommendations for active or supportive care.

List of abbreviations

NSCLC: 

non-small-cell lung cancer

PS: 

performance status

Hb: 

Heamoglobin

Declarations

Acknowledgements

This report has been presented as poster at the 1st European Lung Cancer Conference, May 2009, Lugano, Switzerland.

Authors’ Affiliations

(1)
Department of Medical Oncology, Centre Léon-Bérard
(2)
Department of Medical Oncology, National Institute of Oncology
(3)
Department of Biostatistics, Centre Léon-Bérard
(4)
Department of Microbiology, Moulay Ismail University

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Copyright

© Belbaraka et al; licensee BioMed Central Ltd. 2010

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.