Microscopic tumor foci in axillary lymph nodes may reveal the recurrence dynamics of breast cancer
Cancer Communications volume 39, Article number: 35 (2019)
In early breast cancer, the prognostic value of the number of macroscopically metastasized axillary nodes has been recognized in earlier reports . However, the impact of microscopic tumour cell deposits on the survival outcome of early breast cancer patients is still debated . This issue has gained increasing attention since the implementation of sentinel node biopsy in axillary node staging for tailoring breast cancer treatments, and the status of the single resected node would determine the clinical decision of whether or not to perform the axillary lymph node dissection . Moreover, this issue raises more questions on whether to administer primary or adjuvant systemic treatment for patients with lymph nodes bearing isolated tumour cells (pN0[i+]) or micrometastases (pN1mi). Despite the wide debate on the clinical treatment dilemma encountered by early breast cancer patients with microscopic tumour cell deposits, the biology underlying different pathological presentations at microscopic level (pN0, pN0[i+], pN1mi) and the disease outcomes remain poorly known. In an attempt to shed some light on this topic, we have analyzed, in the context of dormancy-based metastasis development model , early breast cancer patients conventionally classified as pN0 (tumour foci with largest diameter ≤ 2 mm)  by systematically reassessing their tumor recurrence dynamics following primary tumour resection at a single institution.
The analyzed database  comprised of 377 early breast cancer patients who underwent mastectomy (67%) or conservative surgery (33%) and staged as pN0, based on the 6th edition of the Union for International Cancer Control/American Joint Committee on Cancer (UICC/AJCC) TNM classification . Adjuvant systemic treatment was administered to 29% (chemotherapy, 8% and hormone therapy, 21%) of the patients, whereas 55% received surgery only and 16% had incomplete records. This study cohort had a median follow-up period of up to 8 years (range 1–13 years).
A total of 6676 axillary lymph nodes were surgically harvested, step-sectioned at every 200 μm (about 250 sections per patient), stained with haematoxylin and eosin (Fig. 1a, c), and reassessed by immunohistochemical analysis for cytokeratin expression (AE1-AE3-PCK26 antibody, Ventana, Tucson, AZ) (Fig. 1b, d). Immunohistochemistry was done with an automated immunostainer (Ventana NEXES Medical System, Tucson, AZ) run with Ventana kits (Strasbourg, France). Lymph node sections were independently examined by two pathologists, with the help of a computerized image analyzer morphometric system (EUREKA, Menarini Diagnostic, Florence, Italy). Accordingly, the pN0 patients were re-classified as: (1) pN0(i−), no detectable tumour deposits; (2) pN0(i+) (nanometastases), isolated tumour cells or foci with largest diameter ≤ 0.2 mm, (Fig. 1a, b); and (3) pN1mi (micrometastases), tumour foci with the largest diameter being between 0.2 and 2 mm (Fig. 1c, d). Clinical events such as tumor recurrence (local or distant), the occurrence of second primary (including contralateral breast primary), and death, occurring within the median follow-up time, were examined (Table 1). The recurrence dynamics was investigated by estimating the cause-specific hazard rates, i.e., the rates of recurrence of a specific event at a certain follow-up time. To estimate the hazard rate at different follow-up times, a discretization of the time axis in 6-month units was applied (therefore hazard rates were estimated in recurrences/6 months) and to obtain a smoothed pattern of the hazard rate values a kernel estimator was adopted . This smoothed curve is graphically presented (Fig. 1e).
In spite of the limited number of events and patients at risk, the hazard rate curves for recurrence (Fig. 1e) show that, in comparison to the recurrence risk of pN0(i−) patients, that of pN0(i+) patients was relatively similar during the first 2 years but displayed a definite level increase afterwards, while that of pN1mi patients demonstrated an early peak followed by a second peak between at about 60 months postoperatively.
The differences in recurrence dynamics, as demonstrated with hazard rate curves, observed between the different subcategories of pN0 early breast cancer patients in this study can be interpretable using the model context of tumour dormancy in specific micrometastatic phases and the occurrence of surgery-related events which have accelerated the metastatic process . The main concept underlying this model is that metastatic foci undergo dormant states, such as single cells in the G0 phase of their mitotic cycle, nests containing non-dividing cells, and micrometastases lacking angiogenesis, therefore they are unable to grow to larger than the size of 1–2 mm. Sequential transitions between microscopic dormant states eventually may result in the progressive appearance of metastases when they exceed the clinical detection threshold level. Furthermore, the surgical removal of the primary tumour, the presence of which constrains the development of its microscopic metastases , may unlock subclinical tumour dormant foci, thus inducing a sudden acceleration of the metastatic process which manifests during the follow-up, but at different time intervals based on the number of macroscopically non-visible proportions of single dormant cells and avascular micrometastases. These may have resulted in the different recurrence peaks observed between the pN0(i−), pN0(i+) and pN1mi subgroups; paralleling to the number and sequence of metastatic dormancy states. In particular, the early metastasis risk is associated to the sudden switch of angiogenesis in micrometastases, which may be related to surgical manoeuvre, whereas smaller nanometastases need more time to attain the clinical level for visible metastases and thereby display a longer period of dormancy . Therefore, consistently with the lymph node staging, the behavior of hazard rate curves for different subcategories of pN0 early breast cancer patients shown in Fig. 1e suggests the possibility that subclinical metastases in pN0(i+) patients may be mostly comprised of single G0 cells or nests containing a few non-dividing cells, whereas in the pN1mi subcategory avascular microscopic foci mostly prevail.
The different dynamics of disease recurrence in patients with pN0(i−), pN0(i+) and pN1mi breast cancer (Fig. 1e) support the notion that the axillary nodal tumour burden, which is a recognized quantitative marker of the recurrence risk at macroscopic level, is also a prognostic factor at microscopic level. This extension of the prognostic role of nodal involvement is revealed by the association of the pathologic findings with the corresponding recurrence hazard rate patterns. This finding suggests that nodal nanometastases can indicate the presence of tumour foci in early dormant states, whereas nodal micrometastases point to dormancy conditions being much nearer to a metastatic-probable clinical manifestation threshold that is reached soon after being surgically stimulated, as has been found to occur in breast cancer patients for whom axillary nodes are macroscopically invaded . Results of the present analyses suggest a correlation between axillary tumour burden and metastatic conditions, starting at microscopic level, thus supporting the concept that axillary lymph nodes may be viewed as accessible sites to assess the biological status of subclinical metastatic deposits in the host. However, such a hypothesis deserves further validation.
Availability of data and materials
The dataset analyzed during the current study is available from the corresponding author on reasonable request.
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Ethics approval and consent to participate
The analyzed database was extracted from a clinical trial that was approved by the board of the Ministry of the University and Research.
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The authors declare that they have no competing interests.
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Demicheli, R., Fornili, M., Querzoli, P. et al. Microscopic tumor foci in axillary lymph nodes may reveal the recurrence dynamics of breast cancer. Cancer Commun 39, 35 (2019). https://doi.org/10.1186/s40880-019-0381-9