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Dr. Singletary is Professor, Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX.
Dr. Connolly is Director of Anatomic Pathology, Department of Pathology, Harvard Medical School/Beth Israel Deaconess Medical Center, Boston, MA.
| ABSTRACT |
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| INTRODUCTION |
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By the first half of the 20th century, clinicians had become aware that not all breast cancers shared the same prognosis or required the same treatment, and attempts were made to define characteristics that could reliably distinguish those tumors that required aggressive treatment from those that did not. In 1904, the German physician Steinthal2 proposed the division of breast cancer into three prognostic stages: small tumors that appeared to be localized to the breast (Stage I), larger tumors that involved the axillary lymph nodes (Stage II), and tumors that had clearly invaded tissues around the breast (Stage III). This simple staging system was further refined by Greenough, who based his classifications on microscopic examination of breast cancer specimens.3 The four-stage Columbia Clinical Classification System for breast cancer, with Stages A through C corresponding to Steinthals stages, and Stage D representing disease that had metastasized throughout the body, was introduced in 1956 by Haagensen and Stout.
The tumor-node-metastasis (TNM) system was developed by Pierre Denoix starting in 1942 and represented an attempt to classify cancer based on the major morphological attributes of malignant tumors that were thought to influence disease prognosis: size of the primary tumor (T), presence and extent of regional lymph node involvement (N), and presence of distant metastases (M). The International Union Against Cancer (UICC) presented a clinical classification of breast cancer based on the TNM system in 1958,4 and the American Joint Committee on Cancer (AJCC) published a breast cancer staging system based on TNM in their first cancer staging manual in 1977.5 Since that time, regular revisions have been issued to reflect major advances in diagnosis and treatment. In the 1987 revision, differences between the AJCC and UICC versions of the TNM system were eliminated.
For the clinician, breast cancer staging is useful because of its ability to estimate prognosis. Figure 1 shows the relationship between cancer stage and 10-year relative survival in breast cancer patients, adapted from a report by Bland and colleagues6 that used data from 1.3 million cases (1985 to 1996) in the National Cancer Data Base (NCDB). There are significant differences among stages: only 5% to 12% of Stage I/II patients die in the first 10 years after diagnosis, compared with over 60% of Stage III patients and over 90% of Stage IV patients. Breast cancer staging also provides valuable information about appropriate treatment options for each cancer stage.6 Because AJCC/UICC staging is commonly used to select patients and to report outcomes in clinical trials, clinicians can make a reasoned judgment about whether treatment strategies reported in the literature will be appropriate for their patients.
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Breast cancer staging provides useful information about the current status of cancer detection and management, and the success of implementing new strategies. For example, data from the NCDB show that the percentage of US patients initially presenting as Stage 0 or Stage I increased from 42.5% in 1985 to 56.2% in 1995, whereas the percentage of patients presenting as Stage III or Stage IV decreased from 18.3% to 11.6% during the same time period.6 This changing picture suggests that the increased usage of screening mammography during the same time period was effective in detecting cancer at an earlier stage when it can be more successfully treated.
In developing countries, staging of breast cancer patients can provide revealing epidemiological information about opportunities for improving breast cancer screening and management. In contrast to the NCDB data from US women shown above, studies of women with breast cancer from Tanzania,7 Tunisia,8 Nigeria,9 and South Africa10 have shown that most are initially seen when their cancers are very advanced (Stage III and IV). Public and private agencies interested in international public health programs can use such information to document need and to optimize their interventions.
In this article, we will review the recent revision of the AJCC staging system for breast cancer,11 detailing the specific changes that were made and providing guidelines for using the system in daily practice. We will then review frequently asked questions about implementation of the revised staging system that have been submitted to the AJCC by clinicians from around the world. Finally, we will discuss the future of TNM staging in a world of rapidly developing new technology.
| THE SIXTH EDITION OF THE AJCC CANCER STAGING MANUAL: NEW STAGING DIRECTIONS FOR BREAST CANCER |
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The revision of the breast cancer staging system officially began in January 1998, with the convocation of an AJCC consensus conference to review available data on serum markers or tumor markers as prognostic factors for breast cancer.15 Conference attendees concluded that there were insufficient data to support the incorporation of any of these markers into the TNM staging system for breast cancer. This conclusion was supported in consensus statements from the College of American Pathologists16 and the American Society of Clinical Oncology.17
A Breast Task Force composed of 19 internationally known experts in the field of breast cancer management was appointed by the AJCC to recommend changes in breast cancer staging that would reflect available clinical data and/or widespread clinical consensus about appropriate standards for the management of breast cancer. The newly revised TNM staging system for breast cancer, based on their recommendations, was first presented in print in 2002,11,18,19 and was officially adopted for use in tumor registries in January 2003.
General Principles of the TNM Staging System
The TNM staging system includes four classifications: clinical, pathologic, recurrence, and autopsy. Clinical classification (cTNM) is used to make local/regional treatment recommendations. It is based solely on evidence gathered before initial treatment of the primary tumor: physical examination, imaging studies (including mammography and ultrasound), and pathologic examination of the breast or other tissues obtained from biopsy as appropriate to establish the diagnosis of breast cancer. Pathologic classification (pTNM) is used to assess prognosis and to make recommendations for adjuvant treatment. It incorporates the results of clinical staging with evidence obtained from surgery and from detailed pathologic examination of the primary tumor, lymph nodes, and distant metastases (if present). Classification of a recurrent tumor (rTNM) is used when further treatment is needed for a tumor that has recurred after a disease-free interval and includes all information available at the time. Autopsy classification (aTNM) is used for cancers discovered after the death of a patient, when the cancer was not detected before death. Additional descriptors are used for identification of special cases of cTNM or pTNM classifications, including the "m" prefix in cases with multiple tumors and the "y" prefix in cases where classification is performed during or following initial multimodality therapy (ie, neoadjuvant chemotherapy, radiation therapy, or both). Thus, ycTNM or ypTNM indicates the extent of tumor actually present at the time of that examination, rather than an estimate of tumor size before initiation of neoadjuvant therapy.
| IMPLEMENTING THE REVISED STAGING SYSTEM FOR BREAST CANCER |
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TNM Classification of Breast Cancer
The TNM definitions for breast cancer from the sixth edition of the AJCC Cancer Staging Manual are shown in Table 2
. In addition to the detailed definitions given in Table 2
, the additional guidelines outlined below should be noted.
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For Assessment of Tumor Size (T)
For Assessment of Regional Lymph Nodes (N)
For Assessment of Distant Metastasis (M)
| CHALLENGES IN IMPLEMENTING THE SIXTH EDITION |
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Identification and Measurement of ITCs and Micrometastases
Our pathologist does H&E staining on all his specimens and uses IHC staining only if nothing is found by H&E staining. Can IHC staining be used to identify micrometastases in lymph nodes?
The distinction between micrometastases and ITCs is now based on size alone. Metastatic cell deposits seen with IHC staining alone are considered to be equivalent to those seen on standard H&E staining.
In defining pN1 vs. pN0(i+), is it appropriate to measure size of the IHC micrometastasis to determine whether it exceeds 0.2 mm in any dimension? A case had negative H&E of a sentinel node and positive IHC with subsequent H&E verification. The maximum size was 0.19 mm on H&E and 0.71 mm on IHC.
This would be staged as pN1mi because we stage by greatest dimension regardless of the method of detection.
A sentinel node had a 1-mm metastatic lesion visible by H&E staining. IHC staining showed three additional small foci in the same lymph node, less than or just about equal to 1 mm. What is the pN designation?
If deeper cuts of the node do not show a contiguous process but confirm four separate foci, the classification would be pN1mi, reflecting the size of the largest lesion.
A sentinel node biopsy showed a single cluster of malignant cells with H&E staining measuring 0.18 mm. Results of IHC staining were unknown. Is this staged as pN1 because the malignant cells were detected by H&E?
The classification would be pN0(i+) because the cluster was less than 0.2 mm. It does not matter that the cells were detected by H&E staining.
If a breast carcinoma has one node with a micrometastasis and four nodes with ITCs, all found with IHC, is it staged pN1mi or do the other four ITC nodes upstage it?
ITCs defined as 0.2 mm or less would not upstage the patient.
Examination of the sentinel node in a patient with a primary tumor diagnosis of invasive lobular carcinoma revealed a large number of isolated tumor cells (<0.2 mm in diameter) dispersed throughout the nodal parenchyma in a diffuse pattern. How is this classified?
This is a common metastatic pattern for infiltrating lobular carcinoma. Although these are truly isolated tumor cells, most pathologists would classify this as pN1a based on the number of tumor cells.
Estimating the Size of the Primary Tumor
An invasive breast cancer was removed on stereotactic biopsy so no size was available clinically or pathologically. We classified this tumor as cTX/pTX. Is this correct?
Try to obtain a clinical size from the physicians notation of a palpable size and/or from mammographic or ultrasound imaging of the breast. In addition, because the small invasive tumor was removed entirely by stereotactic biopsy, it must have been less than 2 cm in size, so a classification of T1 would be appropriate.
If there was residual disease found in a relumpectomy or mastectomy specimen, does the patient need to be restaged to include the residual tumor?
If the relumpectomy or mastectomy was considered the definitive operation, then staging needs to be updated to include the findings of both the initial and the subsequent definitive breast cancer surgery.
When multiple tumors are present in the same breast, only the largest is measured to determine the T stage. How far apart do the tumors have to be to be considered separate?
Although various studies have suggested ways to make this determination quantitatively, it remains a judgment call. When the foci appear very close microscopically, a review of imaging studies may be useful in determining whether multiple lesions are present.
Classifying Tumors with Dermal Involvement
If there are tumor cells in the dermis without skin ulceration, peau dorange, edema, or satellite nodules, what is the stage?
Direct skin invasion by AJCC criteria is defined as full-thickness involvement including the epidermis. If the epidermis is intact with only focal dermal involvement, this is not considered T4 but classified by the size of the primary tumor.
Pathology from a lumpectomy revealed a 2 x 1.5-cm mass extending into the skin up to the superficial dermis, without invasion of the epidermis. Is it a T1c or a T4?
This would be classified as T1c. As described above, if the epidermis is intact with only focal dermal involvement, classification is based on the size of the primary tumor.
A patient had breast cancer clinically described as a destructive lesion measuring 4 x 5 cm with obliteration of most of the nipple areolar complex. Biopsy revealed skin and subcutaneous (sc) tissue with infiltrating ductal carcinoma involving dermis and sc subareolar fibrous and muscular tissue. Would this be staged T4b?
Because pathology did not reveal epidermal involvement, this case would be classified as T2 because the greatest dimension of the primary tumor was not more than 5 cm. A tumor with clinically apparent involvement of the nipple areolar complex is classified as T4 if one or more of the following are present: full thickness direct invasive of the epidermis, satellite skin nodules in the same breast, and/or peau dorange with invasion of the dermal lymphatics. Paget disease, which may involve obliteration of the nipple with no underlying invasive component, is classified as Tis (Paget).
Classification of Lymph Nodes in Unusual Locations
Is a positive intramammary node with negative axillary nodes classified as N1?
A positive intramammary node is considered as an axillary node in staging and thus would be N1 (provided that it is greater than 0.2 mm), even though the axillary nodes are negative.
If there is a nodule in the pectoral muscle not connected to a primary breast tumor, how is it coded?
If the nodule appears to represent involvement of the lymphatics associated with the pectoralis major muscle, it can be considered in the same category as intramammary lymph node metastases or tumor deposits found in axillary fat without an associated lymph node, and classified as another positive axillary lymph node. However, if the nodule is within breast tissue and only adjacent to the fascia then it would be considered a satellite lesion and the T stage would be based on the index primary lesion.
Pathology reported one clearly identified lymph node negative for metastases, and 10 nodules of tumor ranging in size from 0.2 cm to 0.7 cm in the axillary fat. How is this coded?
Metastatic deposits within axillary fat are considered to be positive nodes. With 11 nodes examined and 10 positive, the classification would be pN3a (10 or more positive nodes).
| THE FUTURE OF BREAST CANCER PROGNOSIS |
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Although the sixth edition has given consideration to the relative importance of isolated tumor cells and micrometastases presenting as nodal metastases, many researchers are now considering the possible prognostic significance of microscopic tumor-cell deposits that may appear in the bone marrow or peripheral blood. A recent pooled analysis by Braun, et al.22 (4,703 patients from nine studies) showed that bone marrow micrometastasis was a significant predictor of poor outcome in a multivariate analysis that included tumor size, lymph-node metastasis, tumor grade, and hormone-receptor expression as covariates. Although tumor-cell deposits in peripheral blood have recently been shown to be predictive of outcome in patients with metastatic breast cancer,23 the small number of such cells in patients with early-stage breast cancer has hindered the accrual of similar data in these patients. New advances in identifying and collecting these cells should allow definitive studies to address this issue.
During the framing of the sixth edition of the AJCC Cancer Staging Manual, the Breast Task Force carefully considered whether the addition of histologic tumor grade or one of the molecular and biochemical markers associated with breast tumorigenesis could offer a significant improvement to the TNM system. It was enticing to think that the one or more of these markers could bring us closer to something that TNM currently does not provide—precise prognosis for the individual cancer patient. At that point in time, however, it was decided that the addition of any of these factors was not yet supported by sufficient data. The reasoning behind this decision has been extensively discussed elsewhere.11,19 For histologic grade, the data were sparse and too variable to allow a decision about how best to incorporate grade into the existing TNM system. Although some of the molecular and biochemical markers showed great promise for the future, lack of standardization in measurement techniques for many of them (for example, Ki-67, cathepsin D, HER2/ neu, and p53) limit their current usefulness.
Although it is likely that tumor grade and selected other markers will again be seriously considered for incorporation into breast cancer staging for the seventh edition of the AJCC Cancer Staging Manual, more attention is now turning to technological approaches that are able to chart the activity of hundreds or even thousands of genes simultaneously.
Over the last 35 years, research has convincingly demonstrated that literally hundreds of genetic and biochemical markers are associated with breast tumorigenesis. Researchers are now using molecular approaches to create a genetic fingerprint of the tumor based on the identification of genes that are actively expressed in tumor cells. For example, Vant Veer, et al. have used RNA-based microarrays to identify a 70-gene expression profile that was a more powerful predictor of 10-year survival rates for young patients with breast cancer than standard prognostic indicators based on clinical and histologic criteria.24,25 Soonmyung Paik from the National Surgical Adjuvant Breast and Bowel Projects pathology division recently presented a validation study for another system based on a panel of 16 cancer-related genes.26 In this system, RNA is extracted from paraffin-embedded tumor sections and quantified using RT-PCR. He reported that this system is useful in determining prognosis in newly diagnosed breast cancer patients with Stage I/II, estrogen receptor-positive, node-negative disease who would normally receive tamoxifen as adjuvant therapy.
Such approaches to fingerprinting represent a powerful step forward in characterizing individual breast tumors, but they have yet to address the true complexity of the tumorigenic process. A microarray plate presents a static picture of gene activity associated with the malignant process, but this is somewhat misleading. It appears likely that hundreds of genes are turned on or off sequentially during a developmental process that is thought to involve a linear evolution from hyperplasia to carcinoma in situ to invasive carcinoma.27 Another layer of complexity relates to the heterogeneity of malignant behavior among the cells of a breast tumor. Al-Hajj, et al.28 suggest that most cells in a tumor permanently lack the capacity to proliferate to any significant degree; only a very small and phenotypically distinct subgroup of cells has this ability. They propose that this subpopulation of cells may derive from breast stem cells, retaining the ability for self-renewal and differentiation that is typical of normal stem cells. If only a small population of phenotypically distinct cells is driving the tumorigenic process, then we may be forced to rethink our strategies for fingerprinting tumor cells and for designing optimal treatment approaches.
| Footnotes |
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| REFERENCES |
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