DOI 10.1378/chest.08-0978
2009;136;260-271Chest
Frank C. Detterbeck, Daniel J. Boffa and Lynn T. Tanoue
The New Lung Cancer Staging System
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The New Lung Cancer Staging System
Frank C. Detterbeck, MD, FCCP; Daniel J. Boffa, MD;
and Lynn T. Tanoue, MD, FCCP
The International Association for the Study of Lung Cancer (IASLC) has conducted an extensive
initiative to inform the revision of the lung cancer staging system. This involved development of
an international database along with extensive analysis of a large population of patients and their
prognoses. This article reviews the recommendations of the IASLC International Staging
Committee for the definitions for the TNM descriptors and the stage grouping in the new
non-small cell lung cancer staging system. (CHEST 2009; 136:260–271)
Abbreviations: AJCC � American Joint Committee on Cancer; IASLC � International Association for the Study of
Lung Cancer; NSCLC � non-small cell lung cancer; SEER � Surveillance, Epidemiology, and End Results;
UICC � Union Internationale Contre le Cancer
D efinition of the stage is an essential part of theapproach to patients with cancer, and it has led
to the development of a universally accepted stage
classification systems for most tumors. The Union
Internationale Contre le Cancer (UICC) and the
American Joint Committee on Cancer (AJCC) serve
as the official bodies that define, periodically review,
and refine the stage classification systems. The 6th
edition of the staging system was published in 2002,1
and the 7th edition will be published in 2009. In
preparation for this, much work has been done by
the International Association for the Study of Lung
Cancer (IASLC) to recommend changes that are
based on a large international database and are
backed by careful validation and statistical analysis.
This article reviews the development and final rec-
ommendations of the IASLC International Staging
Committee for non-small cell lung cancer (NSCLC),
which have been accepted by the UICC and AJCC for
the new edition.
For editorial comment see page 6
The TNM staging system for lung cancer dates
back to an initial proposal by Dr. Clifton Mountain
that was adopted by the AJCC in 1973 and by the
UICC in 1974. The original system was based heavily
on intuition with limited corroboration from a
database of 2,155 patients from the MD Anderson
Cancer Center in Houston, TX. Subsequent revi-
sions of the TNM staging system continued to be
based on this database, which grew to include 5,319
cases at the time the lung cancer staging system was
last revised in 1997. The limitations of this system are
that it was based on what was essentially a single
institution series, included a limited number of
patients (so that many subgroups were quite small),
spanned a long time frame, and was weighted some-
what toward surgically treated patients by the nature
of the database. Nevertheless, this early work laid a
significant foundation and defined a staging system
that has held up very well even in comparison with
the new IASLC staging system.
Fundamentals of the UICC/AJCC
Staging System
The NSCLC stage classification is based on the
TNM system, which is used for most cancers. The T
descriptor defines the extent of the primary tumor,
From Thoracic Surgery (Drs. Detterbeck and Boffa), Section of
Pulmonary and Critical Care Medicine (Dr. Tanoue), Yale
University School of Medicine, New Haven, CT.
The authors have reported to the ACCP that no significant
conflicts of interest exist with any companies/organizations whose
products or services may be discussed in this article.
Manuscript received April 11, 2008; revision accepted February
11, 2009.
Reproduction of this article is prohibited without written permission
from the American College of Chest Physicians (www.chestjournal.
org/site/misc/reprints.xhtml).
Correspondence to: Frank C. Detterbeck, MD, FCCP, Professor
and Section Chief, Thoracic Surgery, Yale University School of
Medicine, 330 Cedar St, BB 205, New Haven, CT 06520-8062;
e-mail: frank.detterbeck@yale.edu
DOI: 10.1378/chest.08-0978
CHEST Special Feature
260 Special Feature
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the N descriptor the extent of involvement of re-
gional lymph nodes, and the M descriptor the extent
of spread to distant sites. The staging system is based
solely on the anatomic extent of disease. Other
factors, such as clinical symptoms or molecular bio-
logical characterization of the tumor, have not been
included. Increasing T status reflects tumors that are
larger or invasive into more peripheral (ie, visceral
pleura, chest wall) or more central structures (ie,
lobar or mainstem bronchus, mediastinum). In lung
cancer, nodal staging depends on the location of
involved nodes (as opposed to the number of nodes).
The M descriptor defines the presence or absence of
more distant metastatic disease.
The method of staging has a major impact on the
prognostic implications of the stage classification, a
fact that is well recognized by the UICC and AJCC
as shown in Table 1. The two most commonly
encountered types of stage assessment are clinical
staging (the stage determined using all information
available prior to any treatment) and pathologic
staging (determined after a resection has been car-
ried out). The extent of clinical staging can vary from
a clinical evaluation alone (history and physical ex-
amination) to extensive imaging (CT/PET scans) or
invasive staging techniques. It must be emphasized
that a surgical staging procedure (such as mediasti-
noscopy) is still part of clinical staging because
surgical resection as a treatment has not taken place.
Clinical stage is denoted by the prefix “c” and
pathologic stage by the prefix “p.” The UICC also
defines a classification system for the presence or
absence of residual tumor after treatment, as shown
in Table 2. Typically this is applied to describe the
completeness of a surgical resection.
Development and Methodology of the
IASLC Staging System
A proposal to develop an international effort to
inform a future revision of the TNM staging classi-
fication for lung cancer originated in 1996 at a
workshop sponsored by IASLC. An international
committee was established and work began in 1999.
An unrestricted grant from Eli Lilly and Company
enabled the establishment of a database (Eli Lilly
and Company played no role in the data collection,
analysis, or recommendation development process).
The database was developed in cooperation with
Cancer Research and Biostatistics (Seattle, WA),
which is an independent scientific foundation and
the statistical center for the Southwest Oncology
Group. Data elements and definitions were finalized
in October 2002. Data were collected from multiple
sources and sites around the globe. Committees
were formed to analyze the data and develop recom-
mendations (including validation and methodology,
T, N, M descriptors, nodal chart, prognostic factors,
and small cell lung cancer). The initial recommen-
dations were revised and approved by the full IASLC
International Staging Committee. These proposals
were published in a series of detailed articles in the
Journal of Thoracic Oncology in 2007.2–6 The pro-
posed staging recommendations were presented to
the AJCC and UICC in 2007, were approved by
these bodies, and are slated to be published in the
7th edition of the UICC Staging Manual in 2009.
At the time the database was closed to additional
entries, 100,869 cases had been submitted from 45
sources in 20 countries.7 The final data set involved
81,015 cases after exclusion of ineligible cases (due
to incomplete information in 42%, outside the 1990
to 2000 time frame in 28%, unknown histology in
13%, incomplete survival data in 6%, recurrent cases
in 6%, and ineligible histologic types in 6% [carci-
noid, sarcoma, and others]).5,7 Small cell lung cancer
accounted for 16% and NSCLC for 84% of cases.
Only the NSCLC cases were used to derive the T, N,
M descriptors and stage groupings reviewed in this
article. SCLC and carcinoid tumor staging are ad-
dressed in separate publications.8,9 The database
included cases from four continents (the proportion
of NSCLC cases is as follows: Europe, 58%; North
America, 21%; Asia, 14%; and Australia, 7%). Sub-
mitted cases came from series (40%), registries
(30%), and clinical trials (30%). Treatment involved
Table 1—Types of Staging Assessments
Prefix Name Definition
c Clinical Prior to initiation of any treatment, using any
and all information available (eg, including
mediastinoscopy)
p Pathologic After resection, based on pathologic
assessment
y Restaging After part or all of the treatment has been
given
r Recurrence Stage at time of a recurrence
a Autopsy Stage as determined by autopsy
Table 2—Residual Tumor After Treatment
Symbol Name Definition
R0 No residual No identifiable tumor remaining;
negative surgical margins
R1 Microscopic residual Microscopically positive margins
but no visible tumor
remaining
R2 Gross residual Gross (visible or palpable) tumor
remaining
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surgery only in 41%, radiotherapy only in 11%,
chemotherapy only in 23%, and combined modalities
in the rest. Clinical staging included patients subse-
quently treated with neoadjuvant (preoperative)
therapy, whereas preoperatively treated patients
were excluded from analyses of pathologic staging.
Subsets of the NSCLC patients were defined that
met the analytic requirements for each T, N, M
analysis. These subsets were substantially smaller
than the entire group of NSCLC patients within the
IASLC database. For example, clinical and patho-
logic T stage involved 5,760 and 15,234 cases, re-
spectively, that wereM0 and included a complete set of
cTNM or pTNM as well as sufficient T descriptor
details.2 For clinical and pathologic N stage, 38,265 and
28,371 cases, respectively, were selected that were cM0
with sufficient N status assessment (any T).3 For M
stage, 6,596 cases were included that were cM1 or had
an additional nodule in a separate ipsilateral lobe.4 The
definition of stage grouping involved 13,267 clinical
stage and 16,937 pathologic stage patients.5
The major determinant chosen for development of
subgroups of T, N, and M descriptors as well as the
stage groupings was the overall survival, based on the
best stage (pathologic, if available; otherwise clini-
cal). Regrouping of stage descriptors was allowed,
sacrificing backward compatibility with the previous
TNM system in favor of greater simplicity. Stage
grouping schemes were developed using a recursive
partitioning and amalgamation algorithm, and vali-
dated as described later. Care was taken to prevent a
deviant subset involving unstable curves or small
Table 3—Definitions for T, N, M Descriptors
Descriptors Definitions Subgroups*
T Primary tumor
T0 No primary tumor
T1 Tumor � 3 cm,† surrounded by lung or visceral pleura, not more proximal than the lobar bronchus
T1a Tumor � 2 cm† T1a
T1b Tumor � 2 but � 3 cm† T1b
T2 Tumor � 3 but � 7 cm† or tumor with any of the following‡:
Invades visceral pleura, involves main bronchus � 2 cm distal to the carina, atelectasis/obstructive
pneumonia extending to hilum but not involving the entire lung
T2a Tumor � 3 but � 5 cm† T2a
T2b Tumor � 5 but � 7 cm† T2b
T3 Tumor � 7 cm; T3�7
or directly invading chest wall, diaphragm, phrenic nerve, mediastinal pleura, or parietal
pericardium;
T3Inv
or tumor in the main bronchus � 2 cm distal to the carina§; T3Centr
or atelectasis/obstructive pneumonitis of entire lung; T3Centr
or separate tumor nodules in the same lobe T3Satell
T4 Tumor of any size with invasion of heart, great vessels, trachea, recurrent laryngeal nerve,
esophagus, vertebral body, or carina;
T4Inv
or separate tumor nodules in a different ipsilateral lobe T4Ipsi Nod
N Regional lymph nodes
N0 No regional node metastasis
N1 Metastasis in ipsilateral peribronchial and/or perihilar lymph nodes and intrapulmonary nodes,
including involvement by direct extension
N2 Metastasis in ipsilateral mediastinal and/or subcarinal lymph nodes
N3 Metastasis in contralateral mediastinal, contralateral hilar, ipsilateral or contralateral scalene, or
supraclavicular lymph nodes
M Distant metastasis
M0 No distant metastasis
M1a Separate tumor nodules in a contralateral lobe; M1aContr Nod
or tumor with pleural nodules or malignant pleural dissemination� M1aPl Dissem
M1b Distant metastasis M1b
Special situations
TX, NX, MX T, N, or M status not able to be assessed
Tis Focus of in situ cancer Tis
T1§ Superficial spreading tumor of any size but confined to the wall of the trachea or mainstem
bronchus
T1SS
*These subgroup labels are not defined in the IASLC publications2–5 but are added here to facilitate a clear discussion.
†In the greatest dimension.
‡T2 tumors with these features are classified as T2a if � 5 cm.
§The uncommon superficial spreading tumor in central airways is classified as T1.
�Pleural effusions are excluded that are cytologically negative, nonbloody, transudative, and clinically judged not to be due to cancer.
262 Special Feature
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numbers of patients from driving a recommendation,
unless the effect was consistent and externally vali-
dated in a population-based series.
The proposed staging revisions were both inter-
nally and externally validated.6 Internal validation
required that differences in outcomes among the
proposed subgroups were consistently observed
within each type of database and geographic region,
as well as the time period (from 1990 to 1995 vs from
1995 to 2000) for stage groupings.2,5 Furthermore,
for the T descriptor size categories and the stage
groupings, the cases used were separated into a
randomly selected training set involving approxi-
mately two thirds of the cases and a validation set
involving the rest.2,5,6 In each analysis this validation
confirmed the training set results. Finally, the pro-
posed descriptors were externally validated against
the Surveillance, Epidemiology and End Results
(SEER) database from the same time period, con-
trolling for cell type, gender, age, and region.
Some details of the analyses are worth noting. The
size criteria for the T descriptor are quite robust and
broadly applicable, having been extensively vali-
dated. The optimal size cutpoints were initially de-
termined using a pN0 R0 learning set (rounded to
the nearest whole centimeter).2 This was then tested
in a pN0 R0 validation set as well as in other node
stage groups and in incompletely resected patients.
The analysis was also confirmed within different
histologic types of NSCLC, among different types of
databases and geographic regions. In contrast, the
analysis of the impact of additional nodules in the
primary tumor lobe or in a different ipsilateral lobe is
derived from a potentially skewed population,
namely primarily resected patients from Asia and
Australia. Nevertheless, the results were supported
by data from other geographic regions and by SEER
data.2 The N status analysis involved a large number
of patients and was consistently a major prognostic
Figure 1. Prognosis according to size category. A: overall
survival by tumor size for patients with cT1-3N0M0 tumors using
the IASLC classification. Modified from Rami-Porta et al.2 B:
overall survival by tumor size for patients with pT1-3N0M0 R0
tumors using the IASLC classification. Modified from Rami-
Porta et al.2 Centr � central; Inv � invasion; MST � median
survival time (months); 5-year � 5-year overall survival.
Figure 2. Prognosis according to additional nodules, T4 invasion,
and pleural dissemination. A: overall survival for patients with
cT3,4/cM1a status due to additional tumor nodules using the IASLC
classification (any cN), compared with other categories of T3 and T4.
Modified from Rami-Porta et al.2 B: overall survival for patients with
pT3,4/pM1a status due to additional tumor nodules using the
IASLC classification (any pN, any R), compared with other catego-
ries of T3 and T4. Modified from Rami-Porta et al.2 Add’l �
additional; Pts � patients. See the legend of Figure 1 for abbrevia-
tions not used in the text.
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factor in all regions and database types. However,
survival was consistently better in each N category in
Asian/Australian patients, intermediate in North
American, and worse in European patients.6 The M
descriptor analysis was almost exclusively based on
clinically staged patients for distant metastases and
contralateral lung nodules, but 34% of patients with
pleural dissemination and 53% of patients with
additional nodules in a different ipsilateral lobe were
pathologically staged (ie, resected) patients.4
T Descriptor
The IASLC International Staging Committee an-
alyzed the effect of tumor size in detail, in part
because there were many patients in whom reliable
information was available. The size threshold of 3 cm
was confirmed as a significant cutpoint and retained
as a definition of a T1 vs a T2 tumor. In addition,
significant cutpoints were identified at 2, 5, and 7
cm. Tumors � 7 cm had survival that tracked with
other definitions of T3 (ie, invasion or central loca-
tion) and are therefore placed within this group. The
2-cm and 5-cm additional cutpoints were addressed
by the definition of subgroups of T1 (T1a and T1b)
and T2 (T2a and T2b). The survival differences
between each of these size subgroups were highly
statistically significant in pathologically staged pa-
tients, regardless of pN status or R status. Among
clinically staged patients, survival differences be-
tween cT1a, cT1b, and cT2a were not consistently
statistically significant, probably due to the smaller
numbers of patients for whom these data were
available. Table 3 summarizes the definitions of the
T descriptor subgroups. The survival curves for the
size categories of the T descriptor for clinically and
pathologically staged patients are shown in Figure 1.
The prognostic value of additional tumor nodules
was also investigated. (Nodules were counted as
synchronous primary cancers only if they were of
different histologic types or were explicitly defined
as synchronous primary cancers in the source data-
base.) Patients with additional satellite nodules in the
same lobe as the primary tumor had relatively good
survival, similar to T3 patients, and therefore are
now classified as T3 (previously classified as T4). The
survival of these patients (T3Satell) was statistically
significantly better than patients with T4 tumors
because of invasion of major mediastinal structures
(T4Inv). However, the prognosis of these patients
(T4Inv)