Keywords
Lung cancer - Chemotherapy - targeted therapy - outcomes - delay in treatment
Prasanth Ganesan
Introduction
Lung cancer is one of the most common cancers and causes of cancer-related mortality.[1] In India, lung cancer accounts for 7% of new cancer cases and 9% of cancer-related
mortality.[2] Most patients have advanced and incurable disease at diagnosis, leading to high
mortality. Two significant advances in therapy of lung cancer have been the advent
of targeted therapy and immunotherapy. Targeted therapy against the mutated epidermal
growth factor receptor (EGFR) and the mutated anaplastic lymphoma kinase (ALK) protein
has been associated with improvements in survival from about a year (with only chemotherapy)
to 2 to 3 years. Immunotherapy is a more recent addition, which can be applied to
the nonmutated cancers and results in improving the survival of patients.[3] Although the outcomes across the world have seemingly improved with these innovations,
limitations of cost, testing facility, and availability of medications mean that these
have limited penetration in India. There are other challenges which are unique to
the Indian context such as high population density, illiteracy, delayed presentation,
lack of resources for molecular testing, and nonavailability of standard therapy.[4]
[5]
At our governmental center, although many medicines are available free of cost to
the patients, significant challenges exist. Testing for mutations is limited and newer
tyrosine kinase inhibitors (TKIs) and immunotherapy medications are not available.
To understand these challenges better, we undertook an audit of lung cancer outcomes
from our center. We wanted to understand the presentation of patients, delays involved
in diagnosis and treatment, patterns of care, and outcomes. An understanding of these
issues will allow designing interventions to improve outcomes. This will also serve
as a baseline database to compare future therapies as and when they are available
and implemented.
Methods
Diagnosis and Staging
After obtaining approval from the Institutional Ethics committee, we retrospectively
analyzed the records of 302 patients with lung cancer registered in our department
from January 2015 to December 2018 (4 years). The demographic profile, presenting
features, treatment details, and survival outcomes were entered in a predesigned proforma.
The diagnosis of lung cancer was established by biopsy or fine-needle aspiration/fluid
cytology (+/− cell blocks/immunohistochemistry [IHC]). Most patients were staged with
contrast enhanced computerized tomography (CECT) of thorax and abdomen and bone scan.
Few patients underwent positron emission tomography (PET) CT scans in this period.
For this analysis, we went through the radiology reports and restaged the patients
based on the American Joint Committee on Cancer (AJCC) 8th edition.
Molecular analysis of EGFR and ALK mutations was done whenever feasible. Since it was not available within our institution,
it was outsourced to a certified laboratory. As funding support for the test could
not be arranged at all times, and some patients could not afford to pay for the test,
this data was missing in many patients.
Treatment Protocols and Subsequent Follow-Up
Treatment Protocols and Subsequent Follow-Up
-
Chemotherapy for advanced disease: During 2014–15, metastatic adenocarcinoma lung was treated with gemcitabine/carboplatin
because of an ongoing project. From May 2016, most patients with adenocarcinoma were
treated with pemetrexed/carboplatin (4-6 cycles) and paclitaxel/carboplatin doublet
was used in stage IV squamous cell carcinoma. Extensive stage small cell lung carcinoma
was treated with six cycles of carboplatin/etoposide. Attempts were made to use pemetrexed
maintenance in those with partial response (PR) and stable disease (SD) after pemetrexed/carboplatin
doublet in stage IV adenocarcinoma.
-
Patients with known EGFR mutations were treated with gefitinib. Similarly, the small number of patients tested
positive for ALK mutations were treated with ALK inhibitors whenever the drug could be arranged.
-
Reassessment was usually done at the end of 3-4 cycles with imaging studies as appropriate
(CECT scan). After completion of treatment, patients were followed up every 3 months
with a chest X-ray and CECT thorax/abdomen every 6 months unless they had clinical
progression.
-
Localized disease treated with curative intent: Those with stage I and II disease with no contraindications for surgery underwent
upfront surgery, followed by adjuvant chemotherapy/radiotherapy as indicated. Others
were treated with a combination of chemotherapy and radiotherapy, and surgery was
done in resectable patients with no medical contraindications.
Data Analysis
Since we were concerned regarding the delays before the start of treatment in our
center, we looked into the possible areas causing the delay. Similarly, to understand
the impact of long travel on delay and compliance with treatment, we used the pin
code of the patient to calculate the distance from our center. Survival outcomes were
calculated for those patients who had received at least one cycle of chemotherapy.
Telephone calls were made to update the survival data of patients who were lost to
follow-up. Patients who were alive and lost to follow-up were censored, based on the
dates when they were last known to be alive.
Progression-free survival (PFS) was calculated from the date of initiation of treatment
until documented radiological or clinical progression. Overall survival (OS) was calculated
from the date of the start of treatment till the date of last follow-up or death.
Data was censored on the date of the last follow up or on July 31, 2019, whichever
was earlier. The Kaplan–Meier method was used to analyze PFS and OS, and the risk
factors were compared using the log-rank test for univariate analysis and a Cox proportional
hazards model for multivariate analysis. SPSS 16.0 (SPSS, Chicago, IL) was used for
statistical analysis.
Results
Baseline Features
A total of 302 patients (median age: 57 years [range, 23–84 years]; males [n = 203; 67.2%]) were registered in our department during the study period ([Table 1]). Most of them had a performance status of Eastern Cooperative Oncology Group (ECOG)
1 or 2 (n = 226, 75%). The median duration of symptoms before presentation was 3 months (range,
1–24 months). More than half of the patients were smokers (n = 152, 53%). It took a median of 62 days (range, 1–748) and 38 days (range, 1–219
days) to start treatment from the time of presentation and from the time of diagnosis,
respectively. Histopathological diagnosis was available in 75% (n = 225) of the patients, and the rest were diagnosed by fine-needle aspiration (FNA)
or fluid cytology. Adenocarcinoma was the most common histology (n = 225, 75%), followed by squamous cell carcinoma (n = 41, 14%). Stage IV disease was seen in 81% (n = 244) patients. Only 8 (2.6%) patients had stage I or stage II disease. The testing
rate of EGFR and ALK mutation analysis in stage IV adenocarcinoma (n = 191) was 67% and 63%, respectively. EGFR and ALK mutation results were available in 128 and 123 patients, respectively, of which 58
(45.3%) patients tested positive for EGFR mutation and 13 (10.5%) patients tested positive for ALK mutation. The most common EGFR mutation was exon19 deletion (n = 37, 64%), followed by exon21 L858R mutation (n = 14, 24%).
Table 1
Baseline characteristics (n = 302)
Parameter
|
n (%)
|
Median (range)
|
Abbreviations: ALK, anaplastic lymphoma kinase; ECOG, Eastern Cooperative Oncological
Group; EGFR, epidermal growth factor receptor.
a Classification was based on biopsy and histopathology in 226 (75%) and based on fluid
cytology or fine-needle cytology in 76 (25%).
b Nonsmall cell lung carcinoma (NSCLC) not otherwise specified (NOS) (n = 11), undifferentiated (n = 6).
|
Age, median
|
|
57 (23–84 years)
|
Sex, male
|
203 (67%)
|
|
Symptom duration
|
|
3 months (1–24)
|
Time factor
|
|
|
Time from presentation to start of treatment
|
|
62 days (1–748)
|
Time from diagnosis to start of treatment
|
|
38 days (1–219)
|
From onset of symptoms to presentation
|
|
120 (15–748)
|
Performance status
|
|
|
ECOG 1
|
128 (42)
|
|
ECOG 2
|
98 (33)
|
|
ECOG 3
|
72 (24)
|
|
ECOG 4
|
4 (1)
|
|
Distance from the centre (kms)
|
|
|
< 100
|
53 (18)
|
|
100–400
|
107 (35)
|
|
400–1000
|
116 (38)
|
|
> 1000
|
26 (9)
|
|
Stage
|
|
|
I, II
|
8 (3)
|
|
III
|
50 (17)
|
|
IV
|
244 (81)
|
|
Histologya
|
|
|
Adenocarcinoma
|
225 (75%)
|
|
Squamous cell carcinoma
|
41 (14%)
|
|
Small cell carcinoma
|
19 (6%)
|
|
Others b
|
17 (5%)
|
|
EGFR mutation present (tested = 128)
|
58 (45%)
|
|
ALK translocation present (tested = 123)
|
12 (10%)
|
|
Treatment and Responses
Of the 302 patients registered, only 240 received therapy, of which 25 received curative-intent
treatment (
[Fig. 1]
). Of the remaining 215 patients who were eligible for palliative intent systemic
therapy, 141 had no identified targetable mutation (not tested/tested negative) and
received chemotherapy as first-line treatment. Among the other 74, 41 patients with
known EGFR mutations received gefitinib and 1 patient with an ALK mutation received crizotinib. Eighteen patients, despite having targetable mutations,
received only chemotherapy (either due to inability to afford the cost of treatment
or because the results of the mutation were available only at a later date). An additional
14 patients, who were either EGFR unmutated or status unknown, received gefitinib
by physician choice, as they were considered unfit to receive chemotherapy.
Fig. 1 Flowchart depicting the disposition of patients.
Palliative Intent Therapy—In patients without known mutations
The details of chemotherapy regimens are given in
[Fig. 1]
. The median number of chemotherapy cycles administered was 4 (range, 1–23). Eighty-six
(61%) patients received four or more cycles of chemotherapy, including 12 patients
who received maintenance pemetrexed.
Among the 141 patients (without known mutations) who started chemotherapy, 24 defaulted
or stopped due to poor tolerance after one cycle and response evaluation was not possible.
Another nine patients received two cycles and defaulted before response assessment.
Of the 108 patients who could be evaluated, response was partial (PR) in 46 (42.5%),
stable (SD) in 16 (15%), and progressive (PD) in 46 (42.5%). Response rates were similar
across the different regimens. Of the 96 patients with nonsmall cell lung carcinoma
(NSCLC), the clinical benefit rates (PR+SD) were 50%, 37%, and 53% for pemetrexed/platinum,
paclitaxel/platinum and gemcitabine/platinum. The clinical benefit rates with chemotherapy
for small cell lung carcinoma (SCLC, N=12) with etoposide/platinum was 69% Twelve
out of 39 patients (31%) who were treated with pemetrexed-platinum doublet started
pemetrexed maintenance after SD/PR. Considering all patients who started chemotherapy
(n = 141) in an “intention-to-treat” manner, the overall response rate was 46/141 (32%).
Survival analysis was done for all the 141 patients who started on chemotherapy. After
a median follow-up of 7.1 months (0.07–18.3), 130 patients progressed and 104 died.
The median PFS was 4.3 months (95% CI, 3.2–5.4) and OS was 9.0 months (95% CI, 7.6–10.4).
The median PFS in patients who received at least two cycles of chemotherapy was 5.8
months (95% CI, 4.8–6.8). The median OS in NSCLC and SCLC was 8.7 months (95% CI,
7.1–10.2) and 9.03 months (95% CI, 6.7–12.5), respectively.
Among those who progressed (n = 130), only 34 received second-line therapy in the form of docetaxel (n = 22), gemcitabine/carboplatin (n = 2), vinorelbine (n = 1), oral etoposide (n = 1), nivolumab (n = 2), gefitinib (n = 4) and irinotecan in SCLC (n = 2).
Palliative Intent Therapy—Patients with Targetable Mutations
EGFR mutated patients: Of the 58 patients who tested positive for EGFR mutation, 41 (71%) started on EGFR TKI (38 gefitinib, 2 erlotinib, and one osimertinib)
and 11 patients (19%) received first-line chemotherapy (8 of them received EGFR TKI
as maintenance or as second-line treatment) and 6 patients (10%) received no treatment.
Among those treated with first-line EGFR TKIs, the median PFS was 8.5 months (95%
CI, 5.6–11.4) and the median OS was 18.4 months (95% CI, 12.2–24.6).
Apart from these, 14 patients started on first-line empiric gefitinib because of poor
performance status. Among these 14 patients, four subjects did not have any EGFR mutation
and the mutational status was unknown in the rest of them. The OS in this group of
patients was 7.7 months (95% CI, 2.6–12.8)
ALK-positive patients: 12 patients were identified to be ALK mutation-positive. Of these, 2 had received
no treatment, 2 were treated with radical intent therapy, and 7 received first-line
chemotherapy. Only 1 patient received an ALK inhibitor as first-line therapy. One
patient received ALK inhibitor as second-line therapy after progressing on chemotherapy.
Factors Affecting Outcomes
Presence of comorbidities, response to therapy, longer distance from our center, use
of second-line, and use of maintenance therapy predicted better survival on univariate
analysis ([Table 2]). On multivariate analysis, response to first-line treatment, long distance from
the center, use of second-line therapy, and a delay of > 40 days from diagnosis to
treatment predicted improved survival ([Table 3]).
Table 2
Univariate analysis of OS for patients who received palliative chemotherapy (n = 141)
Variable
|
n (%)
|
Median OS in months (95% CI)
|
p-value
|
Abbreviations: NA, not available; NSCLC, nonsmall cell lung carcinoma; OS, overall
survival; PD, progressive disease; PR, partial response; SCLC, small cell lung carcinoma;
SD, stable disease.
a Extrathoracic metastatic sites.
b Among those patients without known mutations treated with chemotherapy (N=141).
|
Age
|
|
|
|
> 60 years
|
47 (33)
|
8.3 (6.3–10.3)
|
0.91
|
< 60 years
|
94 (67)
|
9.8 (7.3–12.2)
|
Smoking
|
|
|
|
Yes
|
87 (62)
|
8.3 (6.4–10.2)
|
0.76
|
No
|
54 (38)
|
10.1 (7.9–12.3)
|
Comorbidities
|
|
|
|
Yes
|
51 (36)
|
6.9 (4.2–9.6)
|
0.03
|
No
|
90 (64)
|
10.1 (8.1–12.1)
|
Histology
|
|
|
|
NSCLC
|
126 (89)
|
8.7 (7.1–10.2)
|
0.96
|
SCLC
|
15 (11)
|
9.03 (6.7–12.7)
|
Number of metastasesa
|
|
|
|
> 2
|
17 (12)
|
7.9 (6–10)
|
0.03
|
1
|
58 (41)
|
7 (4.3–9.8)
|
0
|
66 (47)
|
12.1 (8.3–16)
|
ECOG
|
|
|
|
2
|
72 (51)
|
8.3 (5.8–10.8)
|
0.08
|
1
|
69 (49)
|
9.2 (5.4–12.9)
|
Distance from centre
|
|
|
|
< 400 km
|
127 (90)
|
8.3 (6.7–9.9)
|
0.01
|
> 400 km
|
14 (10)
|
26.7 (NA)
|
Delay from diagnosis to treatment
|
|
|
|
≤ 40 days
|
78 (55)
|
7.3 (5.0–9.6)
|
0.14
|
> 40days
|
63 (45)
|
9.7 (7.8–11.7)
|
Stage
|
|
|
|
III
|
20 (14)
|
5.3 (4.6–6.1)
|
0.42
|
IV
|
121 (86)
|
9.2 (7.7–10.6)
|
Regimenb
|
|
|
|
Others
|
20 (12)
|
8.3 (6.3–10.5)
|
0.48
|
Pemetrexed+Carboplatin
|
39 (29)
|
9.1 (4.6–13.5)
|
Paclitaxel+Carboplatin
|
21 (14)
|
9.8 (3.5–16)
|
Gemcitabine+Carboplatin
|
61 (45)
|
9.6 (7.8–11.4)
|
Response to chemotherapy
|
|
|
|
PD/NA
|
80 (57)
|
5.2 (4–6.5)
|
<0.001
|
PR + SD
|
61 (43)
|
14.2 (12.2–16.2)
|
Maintenance received
|
|
|
|
No
|
117 (83)
|
7.2 (5.4–9)
|
0.02
|
Yes (pemetrexed)
|
12 (8.5)
|
18.2 (10.5–25.8)
|
Yes (gefitinib)
|
12 (8.5)
|
10.8 (4.5–17)
|
Received second-line treatment
|
|
|
|
No
|
107 (76)
|
7.2 (5.2–9.1)
|
0.001
|
Yes
|
34 (24)
|
13.4 (10.4–16.5)
|
Table 3
Multivariate analysis of OS for patients who received palliative chemotherapy (n =
141)
Variable
|
Hazard ratio
(OS)
|
95% CI
|
p-value
|
Abbreviations: ECOG, Eastern Cooperative Oncological Group; NA, not available; OS,
overall survival; PD, progressive disease; PR, partial response; SD, stable disease.
|
ECOG
|
1
|
1.00
|
|
0.44
|
2
|
1.17
|
0.78–1.75
|
No of extrathoracic metastases
|
0.1
|
1.00
|
|
0.19
|
> 1
|
1.19
|
0.91–1.56
|
Comorbidities
|
|
|
|
No
|
1.00
|
|
0.08
|
Yes
|
1.45
|
0.96–2.21
|
Distance from center
|
> 400 km
|
1.00
|
|
0.01
|
< 400 km
|
3.73
|
1.34–10.41
|
Delay from diagnosis to treatment
|
> 40 days
|
1.00
|
|
0.04
|
≤ 40 days
|
1.51
|
1.10–2.31
|
Response to chemotherapy
|
SD/PR
|
1.00
|
|
< 0.01
|
PD/NA
|
4.56
|
2.82–7.37
|
Maintenance received
|
Yes
|
1.00
|
|
0.56
|
No
|
1.18
|
0.67–2.08
|
Received second-line treatment
|
Yes
|
1.00
|
|
< 0.01
|
No
|
3.28
|
1.95–5.53
|
Curative Intent Therapy
Of these 25 patients, the radical treatment was surgery in 7 patients, concurrent
chemoradiotherapy (CCRT) in 15 patients, and a combination of surgery and radiotherapy
in 3 patients. Among these 25 patients, 3 patients received adjuvant chemotherapy
after surgery and all others received neoadjuvant chemotherapy. After a median follow-up
of 17 months in this group, 11 patients progressed, and 6 patients died. The median
PFS and OS among those treated with radical intent have not been reached at the time
of analysis.
Discussion
Our patients with lung cancer are unique in two aspects—most of them came from very
poor socioeconomic backgrounds, and the treatment, for the most part, was provided
free of cost. We found significant delays in presentation and start of therapy in
these patients. Many of the patients could not get molecular testing done, due to
the nonavailability of the same in our center. Around 20% of the registered patients
did not receive any form of treatment, mainly due to poor performance status and a
few defaulted after registration. There were two unexpected findings in our analysis.
One, patients coming from distances of > 400 kilometers had improved survival in the
palliative chemotherapy cohort. The second was the finding of no impact of delays
in the start of treatment on outcomes.
The baseline data from our center is similar to other reports from India. The median
age of 57 years was comparable to other Indian studies[3]
[4] but a decade younger compared to Western studies.[8]
[9] Adenocarcinoma was the most common histology, constituting 75% and was slightly
higher compared to previous Indian studies.[10]
[11] This could probably be attributed to the increasing incidence of adenocarcinoma[12] and increased confirmation of histology with IHC. The proportion of “unknown histology”
was only 6% in our study as compared to 20 to 25% in previous studies.[6]
[7]The number of females (33%) and nonsmokers were relatively higher in our study compared
to other studies,[6]
[7]
[11] which are again associated with adenocarcinoma lung.[13]
[14] Since this is a retrospective audit of patients who were referred for therapy to
our center, it is possibly enriched for females and nonsmokers, which could also explain
the higher proportion of adenocarcinomas.
Majority of the patients (81%) presented with the metastatic disease, which is one
of the highest proportions of stage IV cancers reported.[6]
[11]
[15] Other Indian studies from Chennai (Cancer Institute, Stage IV—66%), Delhi (AIIMS,
Stage IV—57%), and Chandigarh (PGIMER, stage IV—53%) reported lower proportions of
stage IV lung cancers.[6]
[7]
[16] As detailed above, we noted a significant delay in presentation, diagnostics, and
the start of therapy—all these could have contributed to the upstaging of these patients.
The median duration from presentation to start of treatment was around 3 months when
we excluded patients who were referred from outside after complete workup. Similar
issues were noted in a previous Indian study,[17] which suggested the initiation of empirical antitubercular therapy as a common cause
of significant delay in our setting. Surprisingly, a Turkish study[18] has shown that patients presenting with shorter symptoms to treatment duration had
a worse prognosis. Similarly, in our study, the survival of patients receiving palliative
chemotherapy was higher in patients started on chemotherapy after a delay of > 40
days from diagnosis. This could reflect the biology of the disease and the fact that
sick patients with advanced disease could have been fast-tracked for diagnosis or
treatment. At the same time, many of the more aggressive cancers could have resulted
in poor performance status and could have never been referred to our department. Similar
findings have been reported from studies in diffuse large B-cell lymphomas.[19]
We found no association between delay in start of therapy and other baseline characters
like performance status, age, or presence of comorbid conditions. Other studies have
indicated that distance from the center may lead to delay in diagnosis but we did
find that.[20] There may be complex social, economic, and psychological factors underpinning this
issues of delay, which can be answered only by a focused prospective study. Almost
one-third of patients seek alternative medicines, and there are issues like dissatisfaction
or disbelief in the medical system, coupled with a poor understanding of the disease
and its outcomes which may also lead to treatment delays.[21]
[22]
In patients treated with palliative chemotherapy, the median PFS of 5.8 months was
similar to other studies from South India.[6]
[15] However, the OS of 9 months in this particular subgroup of stage IV disease was
marginally higher compared to 6.5 months reported by Murali et al and 7 months reported
by Rajappa et al.[6]
[15] One of the factors could be the increased use of maintenance therapy in the present
cohort, compared to no use of maintenance chemotherapy in the study by Rajappa et
al. Also, majority (96%) of patients in this cohort received intravenous (IV) chemotherapy
while Murali et al included all patients with stage IV and only 41% among them received
IV chemotherapy. This might be the reason for the better OS in our cohort. Cross-center
comparison of survival data has to be done cautiously because of the variations in
patient presentation, treatment selection, use of various protocols, and methods of
assessment of outcomes.
The EGFR positivity rate of 45% was comparable with the other study from south India,
and the most common mutations detected were exon19 deletion, followed by exon21 mutation,
which was similar to the proportion reported by Noronha et al.[6]
[23] The PFS and OS of 41 patients started on EGFR TKIs were 8.5 months and 18.4 months,
respectively, which is similar to published literature from India.[24] Higher rates of ALK mutations have been noted in certain previous Indian studies (10% compared to about
5% in Western literature) and were noted in our study also.[25]
Despite the drawbacks of a retrospective analysis, our study reflects the challenges
faced when treating patients with lung cancer in resource-constrained settings. The
advent of targeted therapy and immunotherapy has produced massive gains in survival.
However, as shown by our analysis, the penetration of these advances are limited.
Despite chemotherapy and gefitinib being made available free-of-cost, there was a
high proportion of treatment abandonment. The reasons for these need to be sought
in prospective studies. Appropriate measures must be taken to ensure proper delivery
and adherence to available therapies. Only then will the impact of newer treatments
(as and when they become available) will be realized.