Journal of Thoracic Oncology:
Anatomy, Biology and Concepts, Pertaining to Lung Cancer Stage Classification
Detterbeck, Frank C. MD*†; Tanoue, Lynn T. MD*‡; Boffa, Daniel J. MD*†
*Thoracic Oncology Program, Yale Cancer Center; †Division of Thoracic Surgery Department of Surgery, Yale University; and ‡Division of Pulmonary and Critical Care Medicine, Department of Medicine, Yale University, New Haven, Connecticut.
Disclosure: The authors declare no conflicts of interest.
Address for correspondence: Frank C. Detterbeck, MD, Division of Thoracic Surgery, Yale University School of Medicine, 330 Cedar St., BB 205, New Haven, CT 06520-8062. E-mail: firstname.lastname@example.org
The proposed lung cancer stage classification system remains grounded in anatomic characteristics, although the large patient database contributing to this revision has dramatically expanded our body of knowledge. Predictably this has led to increased complexity due to the identification of an increasing number of subpopulations of patients. Patterns of clinical presentation characterizing these subgroups may provide clues about the propensity of tumors within a subgroup toward a particular pattern of biologic behavior. This article explores concepts regarding tumor biology that can be applied to the anatomically based new staging system.
A stage classification system provides a common nomenclature about patients with a particular type of cancer. A common language facilitates communication among different centers, allowing observations from different sources to be combined and thereby enhance our collective knowledge. As knowledge is gained, further details of a staging system can be defined, and thus the system requires periodic revision and refinement. In lung cancer, a major effort led by the International Association for the Study of Lung Cancer (IASLC) Staging Committee was undertaken to inform a revision of the Union Internationale Contre le Cancer and American Joint Committee on Cancer staging system,1–5 involving an unprecedented extent of data collection and scientific analysis.1–5 This has prompted us to reflect on the goals of a staging system, the limitations of our current understanding of the biology of lung cancer, and how underlying concepts can help or hinder our ability to make new observations.
Inherent in the development of the nomenclature of a staging system is the ability to define homogeneous patient cohorts. This raises the question of how homogeneity is defined. While many measures can be considered, the one most commonly used is prognosis. Indeed, this is the primary end point used in the analysis and staging recommendations of the IASLC staging committee.2,6,7 Another common expectation of a staging system is to define patient cohorts for which the same treatment approach is appropriate.
However, it must be recognized that prognosis and treatment approaches are not static. There is an incessant quest to define treatments that lead to better outcomes. Moreover, prognosis is continually changing due to progress in aspects other than treatment. Advances in imaging affect the prognosis of stage groups through the resultant stage migration.8,9 Changing methods of detection (e.g., computed tomography screening) also affect prognosis by altering the spectrum of disease that is encountered.10
Therefore, grouping patients by prognosis alone carries the risk that some patients will be grouped together because they happen to have the same prognosis at the current time, even though they are inherently different. For example, within stage IIIa the IASLC staging revision groups together patients with N2 involvement, those with a T4N0M0 tumor and those with additional nodules of cancer in a different ipsilateral lobe.2 As we explore new treatment approaches, we may find that the optimal treatment and resultant prognosis for subpopulations of patients within a stage group or even a T,N, and M descriptor group may be divergent.
The ideal stage classification system would reflect the biology of the tumor, because patients grouped by tumor biologic characteristics will probably continue to share many similarities even as treatment approaches, staging procedures and outcomes change. This suggests that classification by molecular biologic characteristics may be more useful than by anatomic characteristics. However, our current ability to predict tumor biology is rudimentary, and we have a poor understanding of which biologic characteristics of a tumor are really the key factors.11–13 There was no choice for the IASLC staging committee but to describe patient cohorts using anatomic characteristics. Nevertheless, as we look to the future we should use whatever means we currently have available to define biologic behavior. This article proposes a categorization of lung cancer by patterns of clinical presentation, which are postulated to reflect biologic behavior. This approach has the advantage that it can be used with the currently available anatomic descriptors as defined by the proposed IASLC stage classification system, which are summarized in Tables 1 and 2.
Proposed Categories of Biologic Behavior
Because our understanding is limited, an attempt at characterization of tumors according to biologic behavior is inherently speculative. We postulate that there are four types of biologic behavior: tumors with a primary propensity for direct local invasion, those with a propensity for spread to regional lymph nodes, those with a propensity to develop additional foci of cancer within the lung(s), and those with a propensity for systemic dissemination (Table 3). These categories fit commonly observed patterns of clinical presentation, e.g., patients presenting with large tumors and no metastases, others with small tumors and metastatic deposits in nodes and/or distant sites, and patients with multiple foci of cancer within the lung parenchyma in the absence of any extrapulmonary involvement. In Table 4 the new IASLC stage groups and tumor, node, metastasis descriptors are depicted aligned according to these clinical patterns.
Categorization according to patterns of clinical presentation may be an important concept that allows us to recognize differences among patients within a stage grouping and similarities among patients in different groups. In Table 4, the patterns of presentation (and the presumed patterns of biologic behavior) are aligned vertically, while the stage groupings are aligned horizontally. This underscores that some stage groups combine patients with very different clinical presentations, and that there are similarities between subgroups of patients that belong to different stage groups.
Attempting to predict biologic behavior is fraught with more uncertainty than identifying clinical patterns of presentation. It seems reasonable, however, to use characteristics observed in individual tumors at presentation to estimate the future behavior. In very early tumors, there may be insufficient growth or development to form the basis for a prediction. In tumors presenting somewhat later in their development we think that the predominant pattern observed at presentation may well predict future behavior. Anatomic descriptors remain the most studied aspects of lung cancers, and are the only characteristics for which data exists in a large number of patients. Furthermore, the proposed categorization shown in Table 4 has the advantage that it is readily applicable around the world (without genomic analysis). Therefore it seems that this might be a useful tool to investigate how well we are able to predict biologic behavior.
There is ample clinical experience indicating that some tumors primarily grow and invade locally, and seem to have a diminished propensity for nodal or systemic dissemination. Many reports substantiate that patients with local invasion of additional structures exhibit good survival after resection, particularly when a complete resection is accomplished. The good outcome with local therapy alone corroborates the postulated decreased propensity for dissemination. A common example are tumors invading the chest wall (consistent 50–60% 5 years survival for T3N0M0 tumors after R0 resection).14 Good survival has been reported after complete resection of T4invN0M0 tumors invading the vertebral column15–17 or carina.18–21 However, much of the data is difficult to interpret because of inclusion of patients with nodal involvement and incomplete resections. In the extensive database of the IASLC staging project, the good survival of patients with locally invasive or large tumors without significant nodal involvement was clearly documented. In summary, although there may be difficulties in the ability to deliver effective local therapy to tumors marked by local invasion, there is data to support the postulated decreased propensity for nodal or systemic metastases in this subgroup.
Patients with tumors involving lymph nodes seem to have a higher propensity for both regional and systemic recurrence. Treatment increasingly involves both more aggressive local therapy as well as more aggressive systemic therapy. This includes adjuvant chemotherapy after completely resected stage II(N1) and IIIa(N2) tumors, exploration of the role of surgery in addition to chemotherapy and radiotherapy in stage IIIa(N2), and the use of high dose three-dimensional conformal radiotherapy together with chemotherapy for stage III(N2,3) tumors.22
The category that is the most obviously distinct, yet also the hardest to accurately define, are the patients with additional nodules of tumor in the lungs. It has long been recognized that a satellite focus of cancer in the same lobe carries a good prognosis, only slightly different than that of the same tumor without a satellite.23–32 Similarly, multiple studies have suggested relatively good outcomes for patients with an additional focus of tumor in an ipsilateral different lobe, clearly better than for patients with other forms of distant spread.23,25–30,32,33 Frequently such patients have multiple additional malignant foci in the lungs.27,28,33,34 An extreme example of this process may be those patients with what is termed a “pneumonic type” of adenocarcinoma, meaning diffuse involvement of a portion of the lung parenchyma.35–37 A mechanism for how such “spread” occurs is not readily apparent, but the clinical observations do not seem to fit the concepts of either lymphatic or hematogenous dissemination. It appears that a better concept for the behavior of these tumors is not “spread” from one area to another, but the development of multifocal disease. This may be due to “field cancerization”, or it may be a yet obscure change in the host microenvironment that sets the stage for this pattern of tumor development. These tumors appear to have a lower propensity for nodal involvement or distant dissemination.29,33,37–40
Data regarding the proportions of patients entered into the IASLC database (Table 5) shows that the majority of patients fall into the category defined by the extent of nodal involvement (57%). A smaller group is characterized by the extent of the primary tumor (28%). The patients whose stage is characterized by the presence of additional nodules of tumor account for only a small proportion (2.5%). Although a population-based registry is needed to define the true incidence of these categories of patients, the IASLC database provides a rough estimate of the proportions. This rough estimate points out that the impression of complexity in the IASLC staging system is created primarily by relatively small subsets of patients.
A critical examination of accepted clinical concepts is important because so much of how we approach patients, and even how we conduct research, is driven by preconceived beliefs (often in the absence of data). Viewing the IASLC stage subgroups from the perspective of patterns of clinical presentation has several potential benefits. There is reason to think that these patterns of clinical presentation may well correlate with biologic behavior of the tumor. This categorization may have implications for the relevance of local and systemic therapies as well as of specific pretreatment staging procedures. It may turn out that a particular treatment strategy that addresses a pattern of biologic behavior may be useful for many patients within a vertical category outlined in Table 4, even though the patients fall within different stage groups. We should consider these concepts as we analyze the results of new treatments so that we do not overlook an observation because we are focused only on horizontal stage groups as a whole.
What exactly is meant by “biologic behavior” of a tumor? From a clinical standpoint, the relevant issues are the rapidity of growth of the tumor and the pattern of spread into adjacent organs or distant sites. By definition, a cancer has the ability to grow in an unlimited fashion, to invade other normal tissues, and/or to metastasize and grow in sites distant from the primary tumor. It is the aggressiveness of the tumor and the pattern of dissemination that have the greatest influence on prognosis and on the general approach to treatment. On a cellular level, biologic behavior includes the genetic, regulatory and metabolic factors that determine cellular growth. It also includes the interactions between tumor cells, the local tissue microenvironment and the host in general.
We have by necessity focused on the macroscopic aspects of tumor biology rather than cell signaling or genomic aspects. Clearly major advances are being made into understanding cellular mechanisms of tumor growth.41–43 At present, however, these insights are limited to small groups of patients. More importantly, characterization of tumors by cellular biologic features requires sophisticated laboratory analysis, and thus from a practical standpoint is not easy to incorporate in clinical practice. Furthermore, cellular biologic features are not currently readily grafted onto the lung cancer staging system, which remains grounded in anatomic features. This is not meant to imply that molecular biologic characterization is less important; in fact it may become the dominant factor at some point in the future. It is simply less broadly applicable across the world and less readily applicable to the lung cancer stage classification system at this time.
Adding biologic categorization to the anatomic grouping of the staging system may be most helpful in patients in the stage III group. These patients comprise a large percentage of patients with NSCLC and a group whose optimal care has been particularly difficult to define, perhaps because stage III includes a variety of T and N subgroups. The clinical pattern of presentation may help guide the selection of appropriate treatment. For example, an extensive surgical resection may be curative for a T4InvN0M0 tumor but less beneficial in patients with a T1-3N2M0 tumor. Conversely systemic treatment with a new targeted agent may be of benefit in patients with a T1-3N2M0 tumor but not for those with a T4InvN0M0 tumor. A limited (sublobar) resection may be of value for a T4Ipsi NodN0M0 tumor but not a T1N2M0 tumor.
There is reason to consider a propensity for nodal involvement separately from a propensity for distant metastases. Although increasing nodal stage is clearly associated with an increased incidence of distant metastases, dissemination via the lymphatic system is no longer considered the mechanism for the development of distant metastases. Clinical experience certainly documents many patients who develop distant metastases after an apparent curative resection, but never have any evidence of nodal involvement. Multiple studies have shown that tumor cells are commonly present in the bone marrow or peripheral blood, even in patients with early stage lung cancer, when assessed by sensitive assays.44–49 Moreover, the ability to detect these cells does not correlate with the nodal stage, although it is significantly associated with a higher distant recurrence rate.44–48 The development of metastases is determined by a complex interplay of characteristics of the tumor cell population, the host microenvironment and the interactions between them.50 It is best to consider a propensity for nodal involvement and for systemic metastases separately, although both factors may be at play in many patients.
The proposed categorization within the IASLC stage groupings seems logical when dealing with tumors at the extremes (e.g., a T1N3M0 or a T4InvN0M0 tumor), but it is less obvious how some other subgroups should be viewed. For example, should a T4InvN2M0 (stage IIIb) tumor be categorized predominantly by the invasive nature of the primary tumor or by a propensity for lymphatic involvement? In this example there may be a difference between direct extension of the primary tumor into a node versus spread to noncontiguous nodes via lymphatic channels. The same reasoning may be applicable to T2b>5N1M0, T3InvN1M0 and T4InvN1M0 tumors: i.e., there may be a difference between direct lymph node invasion and involvement of noncontiguous nodes.
Another group of patients in whom the clinical presentation does not lend itself easily to speculation about the biologic behavior are those patients with multifocal disease as well as node involvement. For T3SatellN1M0 or T4IpsiN1M0 tumors it is easier to accept the multifocal characteristic as being the most distinctive feature. However, patients with a T4IpsiN2M0 tumor may be much more likely to actually have multiple metastases, with the additional parenchymal nodule being the only “distant” site that was apparent at presentation.23,24 In other words, such patients may, in fact, turn out to fit better with patients with a propensity for nodal and for systemic spread, similar to the T1-3AnyN2M0 or TAnyNAnyM1b patients. Reclassifying such patients in this manner, however, is in conflict with the IASLC staging committee’s findings and recommendations. Furthermore, only a minority of patients with additional pulmonary foci of cancer present with N2 nodal involvement.2,29 Therefore, it seems most appropriate to view the T4IpsiN2M0 patients among other patients with multifocal disease and as a subgroup of stage IIIb, consistent with the IASLC staging committee’s recommendations, at least until significant data is generated that supports a different view.
Whether pleural dissemination should be viewed as a form of direct invasion, of multiple nodules or of distant dissemination is also unclear. It may be that there are different types of patients with pleural involvement (e.g., those with otherwise limited disease and no effusion but with several visceral pleural nodules, and those with a malignant pleural effusion, who often have large tumors with significant nodal involvement). The fact that patients with pleural dissemination but no nodal metastases have exhibited good survival after resection (25–30% 5 year survival) corroborates this speculation.3,51 However, most patients with pleural dissemination have extensive tumors, multiple metastases, and poor survival. Therefore, we think it is best to consider these patients as having a form of distant metastatic spread, at least until we can develop a valid way to subclassify them.
Other methods of defining the biologic behavior of a lung cancer do not appear to be close to being ready for clinical application. There have been many reports that positron emission tomography (PET) intensity correlates with prognosis, suggesting that PET intensity may be a marker for the metabolic rate of a tumor as well as the propensity to metastasize.52 However, these studies have generally not accounted for other prognostic factors such as tumor size or stage. The only carefully controlled, prospective study found that PET intensity offers no significant independent prognostic information, and that size and stage are the dominant factors.11 Much attention has also been given to characterization of genetic changes in tumor cells.53,54 However, most of the studies have had significant methodological flaws, and clinical application appears elusive.55 Furthermore, different studies have identified different genes as predictive of the same outcome with only rare overlap.56 In general, the prognostic prediction based on genetic characterization does not outperform conventional clinical and pathologic factors at this time.12,56 The IASLC staging committee also considered this issue, and concluded that molecular characterization of tumors was insufficiently studied to be included in the current staging revision.
We believe that using patterns of clinical presentation as a potential tool to predict the behavior of a tumor is a reasonable avenue to explore. Clearly research is needed to determine whether the speculation of a propensity to a particular type of progression is borne out. Because the ability to define biologically similar cohorts using anatomic characteristics will be imperfect, it is likely that the categorization proposed will not predict patterns of behavior in all subgroups. Nevertheless, we believe that the concept of incorporating patterns of biologic behavior is worthy of exploration. We hope the proposed categorization will stimulate a productive debate, and that clinical investigation may bring about deeper insights into tumor biology that prove useful in the management of patients with lung cancer.
1. Goldstraw P, Crowley J. The International Association for the Study of Lung Cancer International Staging Project on Lung Cancer. J Thorac Oncol
2. Goldstraw P, Crowley J, Chansky K, et al. The IASLC lung cancer staging project: proposals for the revision of the TNM stage groupings in the forthcoming (seventh) edition of the TNM Classification of malignant tumours. J Thorac Oncol
3. Rami-Porta R, Ball D, Crowley J, et al. The IASLC lung cancer staging project: proposals for revision of the T descriptors in the forthcoming (7th) edition of the TNM classification of lung cancer. J Thorac Oncol
4. Postmus P, Brambilla E, Chansky K, et al. The IASLC lung cancer staging project: proposals for revision of the M descriptors in the forthcoming (seventh) edition of the TNM classification of lung cancer. J Thorac Oncol
5. Rusch VW, Crowley J, Giroux DJ, et al. The IASLC lung cancer staging project: proposals for the revision of the N descriptors in the forthcoming seventh edition of the TNM classification for lung cancer. J Thorac Oncol
6. Groome PA, Bolejack V, Crowley J, et al. The IASLC lung cancer staging project: validation of the proposals for revision of the T, N, and M descriptors and consequent stage groupings in the forthcoming (seventh) edition of the TNM classification of malignant tumours. J Thorac Oncol
7. Detterbeck F, Tanoue L, Boffa DJ. The New Lung Cancer Staging System. Chest
2009; In press.
8. Feinstein AR, Sosin DM, Wells CK. The Will Rogers phenomenon: stage migration and new diagnostic techniques as a source of misleading statistics for survival in cancer. N Engl J Med
9. Morgensztern D, Goodgame B, Baggstrom M, Gao F, Govindan R. The effect of FDG-PET on the stage distribution of non-small cell lung cancer. J Thorac Oncol
10. Detterbeck F, Gibson C. Turning gray: the natural history of lung cancer over time. J Thorac Oncol
11. Vesselle H, Freeman JD, Wiens L, et al. Fluorodeoxyglucose uptake of primary non-small cell lung cancer at positron emission tomography: new contrary data on prognostic role. Clin Cancer Res
12. Sun Z, Yang P. Gene expression profiling on lung cancer outcome prediction: present clinical value and future premise. Cancer Epidemiol Biomarkers Prev
13. Sculier JP, Chansky K, Crowley J, Van Meerbeeck JP, Goldstraw P. The impact of additional prognostic factors on survival and their relationship with the anatomical extent of disease expressed by the 6th Edition of the TNM classification of malignant tumors and the proposals for the 7th Edition. J Thorac Oncol
14. Detterbeck FC, Kiser AC. T3 non-small cell lung cancer (stage IIb-IIIa). In Detterbeck FC, Rivera MP, Socinski MA, Rosenman JG. (Eds.), Diagnosis and Treatment of Lung Cancer: an Evidence-Based Guide for the Practicing Clinician. Philadelphia, PA: W.B. Saunders, 2001. Pp. 223–232.
15. Gandhi S, Walsh GL, Komaki R, et al. A multidisciplinary surgical approach to superior sulcus tumors with vertebral invasion. Ann Thorac Surg
16. Grunenwald DH, Mazel C, Girard P, et al. Radical en bloc resection for lung cancer invading the spine. J Thorac Cardiovasc Surg
17. Yokomise H, Gotoh M, Okamoto T, et al. En bloc partial vertebrectomy for lung cancer invading the spine after induction chemoradiotherapy. Eur J Cardiothorac Surg
18. Dartevelle P. Extended operations for the treatment of lung cancer. Ann Thorac Surg
19. de Perrot M, Fadel E, Mercier O, et al. Long-term results after carinal resection for carcinoma: Does the benefit warrant the risk? J Thorac Cardiovasc Surg
20. Macchiarini P, Altmayer M, Go T, et al. Technical Innovations of Carinal Resection for Nonsmall-Cell Lung Cancer. Ann Thorac Surg
21. Rea F, Marulli G, Schiavon M, et al. Tracheal sleeve pneumonectomy for non small cell lung cancer (NSCLC): short and long-term results in a single institution. Lung Cancer
22. Detterbeck F, Gettinger S, Socinski M. Lung Neoplasms. In Norton J, Barie P, Bollinger R, et al. (Eds.), Surgery: Basic Science and Clinical Evidence, 2nd Ed. New York: Springer, 2008. Pp. 1491–1523.
23. Shen KR, Meyers BF, Larner JM, Jones DR. Special treatment issues in lung cancer: ACCP evidence-based clinical practice guidelines (2nd Edition). Chest
24. Detterbeck FC, Jones DR, Funkhouser Jr WK. Satellite nodules and multiple primary cancers. In Detterbeck FC, Rivera MP, Socinski MA, Rosenman JG, (Eds.), Diagnosis and treatment of lung cancer: an evidence-based guide for the practicing clinician. Philadelphia, PA: W.B. Saunders, 2001. Pp. 437–449.
25. Okada M, Tsubota N, Yoshimura M, Miyamoto Y, Nakai R. Evaluation of TMN classification for lung carcinoma with ipsilateral intrapulmonary metastasis. Ann Thorac Surg
26. Urschel JD, Urschel DM, Anderson TM, Antkowiak JG, Takita H. Prognostic implications of pulmonary satellite nodules: are the 1997 staging revisions appropriate? Lung Cancer
27. Deslauriers J, Brisson J, Cartier R, et al. Carcinoma of the lung: evaluation of satellite nodules as a factor influencing prognosis after resection. J Thorac Cardiovasc Surg
28. Fukuse T, Hirata T, Tanaka F, et al. Prognosis of ipsilateral intrapulmonary metastases in resected nonsmall cell lung cancer. Eur J Cardiothorac Surg
29. Zell J, Ignatius Ou SH, Ziogas A, Anton-Culver H. Survival improvements for advanced stage nonbronchioloalveolar carcinoma-type nonsmall cell lung cancer cases with ipsilateral intrapulmonary nodules. Cancer
30. Okumura T, Asamura H, Suzuki K, Kondo H, Tsuchiya R. Intrapulmonary metastasis of non-small cell lung cancer: a prognostic assessment. J Thorac Cardiovasc Surg
31. Bryant AS, Pereira SJ, Miller DL, Cerfolio RJ. Satellite pulmonary nodule in the same lobe (T4N0) should not be staged as IIIB non-small cell lung cancer. Ann Thorac Surg
32. Battafarano RJ, Meyers BF, Guthrie TJ, Cooper JD, Patterson GA. Surgical resection of multifocal non-Small cell lung cancer is associated with prolonged survival. Ann Thorac Surg
33. Nakata M, Sawada S, Yamashita M, et al. Surgical treatments for multiple primary adenocarcinoma of the lung. Ann Thorac Surg
34. Chang YL, Wu CT, Lee YC. Surgical treatment of synchronous multiple primary lung cancers: experience of 92 patients. J Thorac Cardiovasc Surg
35. Wislez M, Massiani MA, Milleron B, et al. Clinical Characteristics of pneumonic-type adenocarcinoma of the lung. Chest
36. Akira M, Atagi S, Kawahara M, et al. High-resolution CT findings of diffuse bronchioloalveolar carcinoma in 38 patients. Am J Roentgenol
37. Garfield D, Cadranel J, Wislez M, Franklin WA, Hirsch F. The bronchioloalveolar carcinoma and peripheral adenocarcinoma spectrum of diseases. J Thorac Oncol
38. Travis WD, Garg K, Franklin WA, et al. Evolving Concepts in the pathology and computed tomography imaging of lung adenocarcinoma and bronchioloalveolar carcinoma. J Clin Oncol
39. McElvaney G, Miller RR, Muller NL, et al. Multicentricity of adenocarcinoma of the lung. Chest
40. Trousse D, Barlesi F, Loundou A, et al. Synchronous multiple primary lung cancer: an increasing clinical occurrence requiring multidisciplinary management. J Thorac Cardiovasc Surg
41. Paez JG, Janne PA, Lee JC, et al. EGFR mutations in lung cancer: correlation with clinicalresponse to gefitinib therapy. Science
42. Lynch TJ, Bell DW, Sordella R, et al. Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib. N Engl J Med
43. Shedden K, Taylor JMG, Enkemann SA, et al. Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study. Nat Med
44. Pantel K, Izbicki JR, Angstwurm M, et al. Immunocytological detection of bone marrow micrometastasis in operable non-small cell lung cancer. Cancer Res
45. Pantel K, Izbicki J, Passlick B, et al. Frequency and prognostic significance of isolated tumour cells in bone marrow of patients with non-small-cell lung cancer without overt metastases. Lancet
46. Ohgami A, Mitsudomi T, Sugio K, et al. Micrometastatic tumor cells in the bone marrow of patients with non-small cell lung cancer. Ann Thorac Surg
47. Cote R, Beattie E, Chaiwun B, et al. Detection of occult bone marrow micrometastases in patients with operable lung carcinoma. Ann Surg
48. Detterbeck FC, Jones DR, Molina PL. Extrathoracic staging. In Detterbeck FC, Rivera MP, Socinski MA, Rosenman JG. (Eds.), Diagnosis and Treatment of Lung Cancer: An Evidence-Based Guide for the Practicing Clinician. Philadelphia: W.B. Saunders, 2001. Pp. 94–110.
49. Alix-Panabieres C, Riethdorf S, Pantel K. Circulating tumor cells and bone marrow micrometastasis. Clin Cancer Res
50. Langley RR, Fidler IJ. Tumor Cell-Organ Microenvironment interactions in the pathogenesis of cancer metastasis. Endocr Rev
51. Shimizu J, Oda M, Morita K, et al. Comparison of pleuropneumonectomy and limited surgery for lung cancer with pleural dissemination. J Surg Oncol
52. Berghmans TD, Dusart M, Paesmans M, et al. Primary tumor standardized uptake value (SUVmax) measured on fluorodeoxyglucose positron emission tomography (FDG-PET) is of prognostic value for survival in non-small cell lung cancer (NSCLC): a systematic review and meta-analysis (MA) by the European Lung Cancer Working Party for the IASLC Lung Cancer Staging Project. J Thorac Oncol
53. Potti A, Mukherjee S, Petersen R, et al. A genomic strategy to refine prognosis in early-stage non-small-cell lung cancer. New Engl J Med
54. Chen HY, Yu SL, Chen CH, et al. A five-gene signature and clinical outcome in non-small-cell lung cancer. New Engl J Med
55. Dupuy A, Simon RM. Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting. J Natl Cancer Inst
56. Sun Z, Wigle DA, Yang P. Non-overlapping and non-cell-type-specific gene expression signatures predict lung cancer survival. J Clin Oncol
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