Next Article in Journal
Incidence, Survival Analysis and Future Perspective of Primary Peritoneal Mesothelioma (PPM): A Population-Based Study from SEER Database
Previous Article in Journal
Evaluating the Optimal Management of Inoperable Giant Cell Tumors of the Spine: A Systematic Review and Meta-Analysis
Previous Article in Special Issue
Characterisation of the Stromal Microenvironment in Lobular Breast Cancer
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Prognostic Role of Intratumoral Stromal Content in Lobular Breast Cancer

1
Division of Oncology, Department of Clinical Sciences Lund, Lund University, SE-223 81 Lund, Sweden
2
Department of Oncology, Växjö Central Hospital, SE-352 34 Växjö, Sweden
3
Department of Clinical Genetics and Pathology, Skåne University Hospital, Lund University, SE-221 85 Lund, Sweden
4
Division of Surgery, Department of Clinical Sciences Lund, Lund University, SE-223 81 Lund, Sweden
5
Department of Surgery, Skåne University Hospital, SE-214 28 Malmö, Sweden
6
Department of Oncology, Skåne University Hospital, SE-221 85 Lund, Sweden
*
Author to whom correspondence should be addressed.
Cancers 2022, 14(4), 941; https://doi.org/10.3390/cancers14040941
Submission received: 13 December 2021 / Revised: 27 January 2022 / Accepted: 12 February 2022 / Published: 14 February 2022

Abstract

:

Simple Summary

High intratumoral stromal content is related to worse outcomes in several types of cancer. However, its prognostic role in breast cancer seems to differ between different subtypes. High intratumoral stromal content is a negative prognostic marker in triple-negative breast cancer, while the opposite is the case for estrogen-receptor-positive breast cancer, in which higher stromal content is indicative of a better prognosis. Most lobular breast cancers are estrogen-receptor-positive, and the tumor tissue has a clearly defined histological appearance, often with a high intratumoral stromal content. To date, the prognostic role of intratumoral stromal content in lobular breast cancer remains unclear. In this study, we aimed to investigate the prognostic importance of intratumoral stromal content in estrogen-receptor-positive lobular breast cancer. Our results show that high intratumoral stromal content is an easily assessed and clinically useful indicator of a good prognosis in lobular breast cancer.

Abstract

Previous studies have shown that high intratumoral stromal content is associated with a worse prognosis in breast cancer, especially in the triple-negative subtype. However, contradictory results have been reported for estrogen-receptor-positive (ER+) breast cancer, indicating that the prognostic role of intratumoral stromal content may be subtype-dependent. In this study, we investigated the importance of intratumoral stromal content for breast cancer-specific mortality (BCM) in a well-defined subgroup (n = 182) of ER+/human-epidermal growth-factor-receptor-2 negative (HER2−) invasive lobular breast cancer (ILC). The intratumoral stromal content was assessed on hematoxylin–eosin-stained whole sections and graded into high stroma (>50%) or low stroma (≤50%). A total of 82 (45%) patients had high-stroma tumors, and 100 (55%) had low-stroma tumors. High-stroma tumors were associated with a lower Nottingham histological grade, low Ki67, and a luminal A-like subtype. After a 10-year follow-up, the patients with high-stroma tumors had a lower BCM (HR: 0.43, 95% CI: 0.21–0.89, p = 0.023) in univariable analysis. Essentially the same effect was found in both the multivariable analysis (10-year follow-up) and univariable analysis (25-year follow-up), but these findings were not strictly significant. In ER+/HER2− ILC, high intratumoral stromal content is an easily assessable histological indicator of a good prognosis.

1. Introduction

Invasive lobular cancer (ILC) is the second most common type of breast cancer after invasive ductal cancer of no special type (NST) and constitutes 10 to 15% of all breast cancer [1]. Compared to NST, ILC is characterized by lower cellular content and displays a different and characteristic infiltrative growth pattern, where the cancer cells typically grow in thin lines (i.e., ‘single file’) into the surrounding tissue [2,3]. The intratumoral stromal content is higher in ILC compared to tubular breast cancer and NST [4]. Moreover, several differences regarding the tumor microenvironment in the stroma have been identified between ILC and NST [5]. Studies have shown that stromal cells (e.g., pericytes and fibroblasts) integrate with cancer cells and can affect tumor progression via paracrine signaling, which stimulates tumor growth and angiogenesis [6]. Tumor infiltrating lymphocytes (TILs) in the intratumoral stroma interact with cancer cells via complex immune-mediated mechanisms, and the presence of TILs is associated with prognostic outcome in breast cancer [7,8]. To date, there is no strict consensus on how to assess the relationship between stromal content and cancer cells in tumor tissue. Most commonly, a manual assessment of the percentage of stromal content in relation to tumor cellularity in a representative area of the tumor tissue using hematoxylin–eosin-stained sections is applied, and a cut-off value of 50% intratumoral stromal content is used as a threshold for grading tumors as ‘high stroma’ or ‘low stroma’ [9,10,11]. An alternative method of grading is the tumor stroma ratio (TSR), where the epithelial area is divided by the stromal area [4]. The intratumoral stromal content has also been evaluated using digital image analysis and machine learning algorithms [4].
More than 10 years ago, Mesker et al. demonstrated that intratumoral stromal content is an independent prognostic factor for colon cancer [12]. The study showed that tumors with high stromal content are correlated with a worse prognosis in terms of both overall and disease-free survival. Since then, further studies have reported that high intratumoral stromal content corresponds to a worse outcome in various other tumor types (e.g., non-small cell lung cancer, hepatocellular carcinoma, and esophagus cancer) [13]. In line with these results, several studies on breast cancer have shown that high intratumoral stromal content is a negative prognostic factor, especially in triple-negative breast cancer [10,14,15,16,17,18,19]. However, in studies investigating estrogen-receptor-positive (ER+) breast cancer, the opposite pattern was indicated, namely that higher stromal content is associated with a better prognosis [4,11]. The prognostic role of intratumoral stromal content can, therefore, differ greatly between different subtypes of breast cancer. The relevance of considering different subtypes was also indicated in one study where there was no evidence for the prognostic importance of intratumoral stromal content in inflammatory breast cancer [20]. Most previous studies have included all the histological subtypes of breast cancer and, hence, only a small fraction correspond to ILCs. To our best knowledge, there are no previous studies investigating the prognostic role of intratumoral stromal content exclusively in ILC. The vast majority of ILCs are classified as estrogen-receptor-positive and human-epidermal growth-factor-receptor-2 negative (ER+/HER2−). The unique infiltrative growth patterns of ILC, with typically high stromal content in relation to low tumor cellularity, make the study of this cancer as an individual entity even more relevant.
The aim of this study was, therefore, to investigate the prognostic role of intratumoral stromal content in relation to breast cancer-specific mortality (BCM) in a well-defined subgroup of ER+/HER2− ILC. Furthermore, the correlations between intratumoral stromal content and other clinicopathological variables were studied.

2. Materials and Methods

2.1. Study Population

The patients included in the present study originated from a cohort of female breast cancer patients diagnosed with ILC at the Departments of Pathology, Skåne University Hospital Lund, and Helsingborg Hospital, Sweden between 1980 and 1991 (n = 276; Figure 1) [21,22]. The inclusion criteria were as follows: (1) histologically verified ILC cases (re-evaluated by two breast pathologists), (2) available whole sections for stromal assessment, (3) available tissue microarray (TMA) core for immunohistochemical analyses, and (4) presence of the ER+/HER2− subtype. In total, 182 cases were included in the study (Table 1).
Information on Ki67 and progesterone receptor (PR) status were obtained from TMA [22]. The Nottingham histological grade (NHG) was evaluated on whole sections according to Elston and Ellis [23]. A further histological subdivision of the ILCs was not performed. E-cadherin was characterized using immunohistochemistry (IHC) (Clone NCH-38, M3612 DAKO/Agilent 1:100), and loss of E-cadherin was confirmed in approximately 85% of the included tumors. Clinicopathological characteristics and follow-up data were retrieved from medical charts and pathology reports. In the present study, 83 patients (46%) received adjuvant endocrine treatment and 5 (3%) received adjuvant chemotherapy. None of the patients received neoadjuvant therapy. At the end of the study, 54 patients (30%) died from breast cancer and 76 (42%) from other causes. The remaining 52 patients (28%) still alive in June 2015 had a median follow-up time of 26 years (range 0.7–35 years) [21,22]. Using the same classification as described in our previous report [22], which is based on the 2017 St. Gallen surrogate definition of the intrinsic subtypes, this cohort of ER+/HER2− tumors was divided into luminal A-like (NHG 1+2, low Ki67, and progesterone receptor (PR) > 20%) and luminal B-like (at least one of the following three criteria fulfilled: NHG 3, high Ki67, or PR ≤ 20%) [24].

2.2. Immunohistochemical Assays of PR and Ki67

The expression of PR (Clone PgR636, M3569 DAKO 1:100) was analyzed using IHC on TMA, and a score of ≥1% stained nuclei was considered positive. The expression of PR was also analyzed with a cut-off value of 20% for the luminal-like classification. The proliferation marker Ki67 (Clone MIB-1, M7240 DAKO 1:200) was analyzed using IHC on TMA and considered high if ≥24% cells were considered positive. The cut-off value was set at this level to mimic the fraction of high Ki67 tumors in our previous whole section analyses of ILC [21]. TMA preparation was carried out as previously described in Ref. [22].

2.3. Assessment of Intratumoral Stromal Content

Using bright-field microscopy, evaluation of the intratumoral stromal content was conducted on whole hematoxylin–eosin-stained tissue sections (4 µm) by two investigators (S.V. and K.L.) blinded to all tumor, patient, and follow-up information. The same microscope was used during the whole study (magnification 100×). A visual estimation of the whole section was made, and the area with the highest tumor cellularity was selected. The selected area was then evaluated and graded as high stroma (>50% of the area consisted of intratumoral stroma) or low stroma (≤50% of the area consisted of intratumoral stroma; Figure 2) in line with the cut-offs used in several other previous studies [10,11,14,19]. In case of disagreement between the two evaluators, a joint review was performed to reach a consensus.

2.4. Statistical Analysis

The statistical analyses were carried out using the software Stata version 16 (StataCorp, College Station, TX, USA). Contingency tables and χ2 tests were used to correlate the stromal content with lymph node status, tumor size, NHG, PR, and Ki67. Cox regression (proportional hazards model) with competing risk was used after a follow-up time of both 10 and 25 years to compare the BCM between the high stroma and low stroma groups. Multivariable analysis and survival were then calculated using the Cox regression model.

3. Results

3.1. Intratumoral Stromal Content and Association with Other Clinicopathological Variables

Eighty-two of the 182 patients (45%) had high-stroma tumors, and 100 patients (55%) had low-stroma tumors (Figure 2; Table 1). High intratumoral stromal content was strongly associated with lower NHG (p < 0.001), and no NHG 3 tumors were in the high-stroma group (Table 1). High intratumoral stromal content was also associated with low Ki67 (p = 0.049) and luminal A-like tumors (p = 0.009) but not with the other clinicopathological characteristics (Table 1).

3.2. Breast Cancer Mortality

After a 10-year follow-up, intratumoral stromal content (high vs. low) was associated with a lower BCM (HR: 0.43, 95% CI: 0.21–0.89, p = 0.023; Figure 3; Table 2). In the multivariable analysis adjusted for NHG, Ki67, tumor size, lymph node status, age, and adjuvant endocrine treatment, the evidence for an independent effect of tumor stroma content was weaker (HR: 0.45, 95% CI: 0.16–1.26, p = 0.128; Table 2).
After a 25-year follow-up, the evidence of an association between intratumoral stromal content and BCM was less pronounced in both the univariable (HR: 0.61, 95% CI: 0.35–1.07, p = 0.083) and multivariable analyses (HR: 0.73, 95% CI: 0.34–1.57, p = 0.417).

3.3. Exploratory Analyses

Essentially the same results were found in the subgroup analyses investigating the prognostic effect of intratumoral stromal content in relation to BCM in patients with tumors classified as luminal A-like (n = 111; 10-year follow-up—HR: 0.45, 95% CI: 0.16–1.33, p = 0.150; 25-year follow-up—HR: 0.55, 95% CI: 0.25–1.20, p = 0.130; Figure 4A), luminal B-like (n = 63; 10-year follow-up—HR: 0.43, 95% CI: 0.12–1.50, p = 0.186; 25-year follow-up—HR: 0.75, 95% CI: 0.29–1.92, p = 0.546; Figure 4B), and NHG2 (n = 145; 10-year follow-up—HR: 0.50, 95% CI: 0.22–1.13, p = 0.094; 25-year follow-up—HR: 0.65, 95% CI: 0.34–1.24, p = 0.191; Figure 4C). High intratumoral stromal content was associated with an improved prognosis (Figure 4A–C), although the evidence in these numerically smaller subgroups was weaker than the evidence seen in the whole cohort.

4. Discussion

In this study of a well-defined population of patients with ER+/HER2− ILC, high intratumoral stromal content was found to be a ‘good-prognostic’ factor associated with lower BCM based on a follow-up time of 10 years. The evidence was weaker when the follow-up was prolonged to 25 years and in multivariable analyses with 10- and 25-year follow-ups. High intratumoral stromal content was closely associated with NHG, which, together with Ki67, nodal status, and patient age, comprised the most important prognostic factors in the multivariable analysis. Interestingly, none of the 13 NHG 3 tumors presented high intratumoral stromal content, which was in stark contrast to the large proportion of high-stroma tumors among NHG 1 tumors (19 of 22).
These results are in line with those of two previous reports on ER+ breast cancer showing that patients with high-stroma tumors have a better prognosis than those with low-stroma tumors [4,11]. Additionally, in one of these studies, the same strong association between high intratumoral stromal content and low NHG was reported [4]. However, the prognostic importance of intratumoral stromal content in ILC was not specifically addressed in these studies and the number of included patients with ILC was low (i.e., in Millar et al., 31 out of 403 and, in Downey et al., 6 out of 180). In studies that included all histological subtypes or exclusively analyzed triple-negative breast cancer, the patients with high-stroma tumors were repeatedly associated with a worse prognosis [10,14,15,16,17,18,19]. The discrepancy in the results obtained in different studies suggests that the prognostic role of intratumoral stromal content may differ in different subgroups. The aim of the present study was, therefore, to specifically study ER+/HER2− ILC, which is a well-defined subgroup including most patients with ILC. In exploratory analyses, the prognostic effects of the intratumoral stromal content in patients with tumors classified as luminal A-like, luminal B-like, and NHG 2 were essentially the same as those in the whole cohort. In line with previous ILC studies [25,26], the majority (81%) of the patients in this cohort were classified as NHG 2, an intermediate prognostic group for whom long-term outcomes are unpredictable and, therefore, complementary prognostic tools are warranted. In our subgroup analysis, patients with NHG 2 ILC, the patients could be subdivided into two comparable groups of high vs. low intratumoral stromal content (high stroma: n = 62; low stroma: n = 83) with different outcomes (Figure 4C).
A recent study by Vangangelt et al. showed that intratumoral stromal content increases with age, and that this content is not an independent factor in multivariable analysis for patients above or at the age of 70 years [27]. In the present study, only three breast-cancer-related deaths were recorded in this older age group. Consequently, age dependency could not be further examined. Furthermore, adjuvant systemic therapies vary between different studies. In a study by Roeke et al., the association between high intratumoral stromal content and an impaired outcome was most distinct in the patients treated with adjuvant endocrine therapy [9]. Although the evaluation of intratumoral stromal content seems to be easily assessable, with satisfactory kappa values reported (0.68–0.85; [9,10,14]), differences in the evaluations of intratumoral stromal content on hematoxylin–eosin-stained sections may still be critical (e.g., the area selected, the size of the selected area, and the number of assessed areas) [10,11,28,29]. Digital image analysis and machine learning algorithms may provide a more reproducible approach than manual scoring [4]. Further studies analyzing the method agreement and prognostic validity between manual and digital assessment in the same set of tumor samples would be of interest.
Although prognostic information can be derived from assessment of the intratumoral stroma, it is important to consider that this is a simplistic way of looking at the highly complex underlying tumor microenvironment. The importance of distinguishing between different dominant stromal components (collagen, fibroblasts, or lymphocytes) and combining the stromal content in the primary tumor with that in lymph-node metastases has also been indicated [30,31]. Differences between the ILC and NST microenvironments regarding cancer-associated fibroblasts and intratumoral vessels have been observed [5]. In ILC, the expression of fibroblast-activation protein alpha and fibroblast-specific protein 1/S100A4 was higher in both the tumor and stromal cells than in NST [32]. In tubular breast cancer and NST, CD34+ fibroblasts are absent in the intratumoral stroma [33,34], whereas, in ILC, these fibroblasts are present in approximately two thirds of the cases [35]. A study by Westhoff et al. showed that a loss of CD34+ fibroblasts in ILC was associated with an unfavorable prognosis [35].
The prognostic significance of TILs in TNBC and HER2+ breast cancer has been extensively studied, and the presence of TILs in the intratumoral stroma is associated with a more favorable prognosis [7,8]. In ER+/HER2− breast cancer, a subtype normally less immunogenic than TNBC and HER+ breast cancer, the prognostic role of TILs is not fully elucidated, although several studies suggest that the presence of TILs is associated with a less favorable prognosis [7]. Furthermore, in ILC, only a small fraction of the tumors have TILs, and the levels are generally lower than in NST [36,37]. The prognostic role of TILs in ILC has hitherto been sparsely investigated; however, two recent studies indicate that the presence of TILs is an unfavorable prognostic factor in this histological subtype [37,38]. In a study by Millar et al., patients with TNBC and a combination of low intratumoral stromal content and low levels of TILs had an extraordinarily poor prognosis [4]. In the present study, no assessment of TILs was performed. A large and sufficiently powered study investigating the prognostic impact between the intratumoral stromal content and TILs in ILC would be encouraged.
In line with our results, a protein-based stromal signature was used to identify a special good prognostic subtype of breast cancer called ‘reactive’. Members of this subtype are mainly ER+/HER2−, either lobular or tubular, and feature a high number of stromal cells [39]. The possible predictive value of intratumoral stroma was indicated in one study using gene-expression data, showing that increased stromal gene expression can predict resistance to preoperative chemotherapy with 5-fluorouracil, epirubicin, and cyclophosphamide [40]. Finally, in a recent publication, reactive stroma was found to be associated with trastuzumab resistance in HER2-positive primary breast cancer [41].
The re-evaluation of exclusively pure ER+/HER2− ILCs by breast pathologists is a strength of the present study. Another important advantage is this study’s long-term follow-up since the lobular histological subtype is associated with a risk of late recurrences that can occur >10 years after the initial primary diagnosis. The patients with ILC in this cohort were, to a great extent, not treated with any systemic adjuvant therapy, which afforded an opportunity to study the prognostic importance of the intratumoral stroma in a state of only minor interference with the original tumor biology. A limitation of the present study is the relatively small sample size, which is associated with a low power. Future studies exploring the clinical importance of intratumoral stromal content in ILC are warranted and should preferably be performed using larger and well-defined patient materials.

5. Conclusions

The present study showed that, in patients with ILC, high-stroma tumors are associated with a better clinical outcome than low-stroma tumors. In ER+ breast cancer, intratumoral stromal content appears to have the same prognostic role in ILC as other histological subtypes. Ultimately, high intratumoral stromal content is an easily assessable histological indicator of a good prognosis and can potentially complement established clinical prognostic factors.

Author Contributions

Conceptualization, M.F. and U.N.; methodology, A.E., K.L. and S.V.; formal analysis, C.F., K.L., S.V. and U.N.; resources, L.R., M.F. and U.N.; data curation, C.F. and U.N.; writing—original draft preparation, C.F., M.F. and U.N.; writing—review and editing, C.F., L.R., S.V., A.E., K.L., M.F. and U.N.; visualization, C.F. and K.L.; project administration, L.R. and M.F.; funding acquisition, L.R., M.F. and U.N. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Anna and Edwin Bergers Foundation, The Swedish Cancer Society, Governmental Funding of Clinical Research within National Health Service (ALF) 2021-40304, Kronoberg County Council´s Research and Development Foundation, The Cancer Foundation Kronoberg 2016/422, and The Swedish Breast Cancer Association 2015/909.

Institutional Review Board Statement

The study was approved by the regional ethical committee at the University of Lund in Lund (LU 240-01 and Dnr LU 2015/102).

Informed Consent Statement

Patient consent was waived by the IRB due to the retrospective, non-interventional nature of the study. There was no direct interaction with the study subjects, all data were fully anonymized, and tumor analyses were assessed using archival tissue.

Data Availability Statement

The datasets used and/or analyzed in the present study are available from the corresponding author upon reasonable request.

Acknowledgments

We are grateful to Ingrid Idvall and Poul Boiesen for their pathological re-evaluation of the histological subtype.

Conflicts of Interest

All authors declare no conflict of interest.

References

  1. Christgen, M.; Steinemann, D.; Kühnle, E.; Länger, F.; Gluz, O.; Harbeck, N.; Kreipe, H. Lobular breast cancer: Clinical, molecular and morphological characteristics. Pathol. Res. Pract. 2016, 212, 583–597. [Google Scholar] [CrossRef] [PubMed]
  2. Martinez, V.; Azzopardi, J.G. Invasive lobular carcinoma of the breast: Incidence and variants. Histopathology 1979, 3, 467–488. [Google Scholar] [CrossRef] [PubMed]
  3. Barroso-Sousa, R.; Metzger-Filho, O. Differences between invasive lobular and invasive ductal carcinoma of the breast: Results and therapeutic implications. Ther. Adv. Med. Oncol. 2016, 8, 261–266. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Millar, E.K.; Browne, L.H.; Beretov, J.; Lee, K.; Lynch, J.; Swarbrick, A.; Graham, P.H. Tumour Stroma Ratio Assessment Using Digital Image Analysis Predicts Survival in Triple Negative and Luminal Breast Cancer. Cancers 2020, 12, 3749. [Google Scholar] [CrossRef]
  5. Nakagawa, S.; Miki, Y.; Miyashita, M.; Hata, S.; Takahashi, Y.; Rai, Y.; Sagara, Y.; Ohi, Y.; Hirakawa, H.; Tamaki, K.; et al. Tumor microenvironment in invasive lobular carcinoma: Possible therapeutic targets. Breast Cancer Res. Treat. 2016, 155, 65–75. [Google Scholar] [CrossRef]
  6. Pietras, K.; Östman, A. Hallmarks of cancer: Interactions with the tumor stroma. Exp. Cell Res. 2010, 316, 1324–1331. [Google Scholar] [CrossRef]
  7. El Bairi, K.; Haynes, H.R.; Blackley, E.; Fineberg, S.; Shear, J.; Turner, S.; De Freitas, J.R.; Sur, D.; Amendola, L.C.; Gharib, M.; et al. The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group. NPJ Breast Cancer 2021, 7, 150. [Google Scholar] [CrossRef]
  8. Salgado, R.; Denkert, C.; Demaria, S.; Sirtaine, N.; Klauschen, F.; Pruneri, G.; Wienert, S.; Van den Eynden, G.; Baehner, F.L.; Penault-Llorca, F.; et al. The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: Recommendations by an International TILs Working Group 2014. Ann. Oncol. 2015, 26, 259–271. [Google Scholar] [CrossRef]
  9. Roeke, T.; Sobral-Leite, M.; Dekker, T.J.A.; Wesseling, J.; Smit, V.T.H.B.M.; Tollenaar, R.A.E.M.; Schmidt, M.K.; Mesker, W.E. The prognostic value of the tumour-stroma ratio in primary operable invasive cancer of the breast: A validation study. Breast Cancer Res. Treat. 2017, 166, 435–445. [Google Scholar] [CrossRef]
  10. Moorman, A.; Vink, R.; Heijmans, H.; Van Der Palen, J.; Kouwenhoven, E. The prognostic value of tumour-stroma ratio in triple-negative breast cancer. Eur. J. Surg. Oncol. 2012, 38, 307–313. [Google Scholar] [CrossRef] [PubMed]
  11. Downey, C.L.; Simpkins, S.A.; White, J.; Holliday, D.L.; Jones, J.L.; Jordan, L.B.; Kulka, J.; Pollock, S.; Rajan, S.S.; Thygesen, H.H.; et al. The prognostic significance of tumour–stroma ratio in oestrogen receptor-positive breast cancer. Br. J. Cancer 2014, 110, 1744–1747. [Google Scholar] [CrossRef] [Green Version]
  12. Mesker, W.E.; Junggeburt, J.M.C.; Szuhai, K.; De Heer, P.; Morreau, H.; Tanke, H.J.; Tollenaar, R.A.E.M. The Carcinoma–Stromal Ratio of Colon Carcinoma Is an Independent Factor for Survival Compared to Lymph Node Status and Tumor Stage. Cell. Oncol. 2007, 29, 387–398. [Google Scholar] [CrossRef] [PubMed]
  13. Wu, J.; Liang, C.; Chen, M.; Su, W. Association between tumor-stroma ratio and prognosis in solid tumor patients: A systematic review and meta-analysis. Oncotarget 2016, 7, 68954–68965. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. De Kruijf, E.M.; Van Nes, J.G.; Van De Velde, C.J.; Putter, H.; Smit, V.T.; Liefers, G.J.; Kuppen, P.J.; Tollenaar, R.A.; Mesker, W.E. Tumor-stroma ratio in the primary tumor is a prognostic factor in early breast cancer patients, especially in triple-negative carcinoma patients. Breast Cancer Res. Treat. 2011, 125, 687–696. [Google Scholar] [CrossRef] [PubMed]
  15. Kramer, C.J.H.; Vangangelt, K.M.H.; Van Pelt, G.W.; Dekker, T.; Tollenaar, R.A.E.M.; Mesker, W.E. The prognostic value of tumour–stroma ratio in primary breast cancer with special attention to triple-negative tumours: A review. Breast Cancer Res. Treat. 2019, 173, 55–64. [Google Scholar] [CrossRef] [Green Version]
  16. Dekker, T.J.; Van De Velde, C.J.; Van Pelt, G.W.; Kroep, J.R.; Julien, J.P.; Smit, V.T.; Tollenaar, R.A.; Mesker, W.E. Prognostic significance of the tumor-stroma ratio: Validation study in node-negative premenopausal breast cancer patients from the EORTC perioperative chemotherapy (POP) trial (10854). Breast Cancer Res. Treat. 2013, 139, 371–379. [Google Scholar] [CrossRef]
  17. Vangangelt, K.M.H.; Van Pelt, G.W.; Engels, C.C.; Putter, H.; Liefers, G.J.; Smit, V.T.H.B.M.; Tollenaar, R.A.E.M.; Kuppen, P.J.K.; Mesker, W.E. Prognostic value of tumor-stroma ratio combined with the immune status of tumors in invasive breast carcinoma. Breast Cancer Res. Treat. 2018, 168, 601–612. [Google Scholar] [CrossRef] [Green Version]
  18. Vangangelt, K.M.H.; Green, A.R.; Heemskerk, I.M.F.; Cohen, D.; Van Pelt, G.W.; Sobral-Leite, M.; Schmidt, M.K.; Putter, H.; Rakha, E.A.; Tollenaar, R.A.; et al. The prognostic value of the tumor–stroma ratio is most discriminative in patients with grade III or triple-negative breast cancer. Int. J. Cancer 2020, 146, 2296–2304. [Google Scholar] [CrossRef] [Green Version]
  19. Gujam, F.J.A.; Edwards, J.; Mohammed, Z.M.A.; Going, J.; McMillan, D. The relationship between the tumour stroma percentage, clinicopathological characteristics and outcome in patients with operable ductal breast cancer. Br. J. Cancer 2014, 111, 157–165. [Google Scholar] [CrossRef]
  20. Downey, C.L.; Thygesen, H.H.; Sharma, N.; Shaaban, A.M. Prognostic significance of tumour stroma ratio in inflammatory breast cancer. SpringerPlus 2015, 4, 68. [Google Scholar] [CrossRef] [Green Version]
  21. Narbe, U.; Bendahl, P.-O.; Grabau, D.; Rydén, L.; Ingvar, C.; Fernö, M. Invasive lobular carcinoma of the breast: Long-term prognostic value of Ki67 and histological grade, alone and in combination with estrogen receptor. SpringerPlus 2014, 3, 70. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Narbe, U.; Sjostrom, M.; Forsare, C.; Bendahl, P.O.; Alkner, S.; Leeb-Lundberg, L.M.F.; Lovgren, K.; Ryden, L.; Ingvar, C.; Ferno, M. The estrogen receptor coactivator AIB1 is a new putative prognostic biomarker in ER-positive/HER2-negative invasive lobular carcinoma of the breast. Breast Cancer Res. Treat. 2019, 175, 305–316. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Elston, C.W.; Ellis, I.O. Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: Experience from a large study with long-term follow-up. Histopathology 1991, 19, 403–410. [Google Scholar] [CrossRef] [PubMed]
  24. Curigliano, G.; Burstein, H.J.; Winer, E.P.; Gnant, M.; Dubsky, P.; Loibl, S.; Colleoni, M.; Regan, M.M.; Piccart-Gebhart, M.; Senn, H.-J.; et al. De-escalating and escalating treatments for early-stage breast cancer: The St. Gallen International Expert Consensus Conference on the Primary Therapy of Early Breast Cancer 2017. Ann. Oncol. 2017, 28, 1700–1712. [Google Scholar] [CrossRef] [PubMed]
  25. Metzger Filho, O.; Giobbie-Hurder, A.; Mallon, E.; Gusterson, B.; Viale, G.; Winer, E.P.; Thurlimann, B.; Gelber, R.D.; Colleoni, M.; Ejlertsen, B.; et al. Relative Effectiveness of Letrozole Compared with Tamoxifen for Patients with Lobular Carcinoma in the BIG 1-98 Trial. J. Clin. Oncol. 2015, 33, 2772–2779. [Google Scholar] [CrossRef]
  26. Rakha, E.A.; El-Sayed, M.E.; Powe, D.G.; Green, A.; Habashy, H.O.; Grainge, M.; Robertson, J.F.; Blamey, R.; Gee, J.; Nicholson, R.I.; et al. Invasive lobular carcinoma of the breast: Response to hormonal therapy and outcomes. Eur. J. Cancer 2008, 44, 73–83. [Google Scholar] [CrossRef]
  27. Vangangelt, K.M.H.; Kramer, C.J.H.; Bastiaannet, E.; Putter, H.; Cohen, D.; Van Pelt, G.W.; Rakha, E.A.; Green, A.R.; Tollenaar, R.A.E.M.; Mesker, W.E. The intra-tumoural stroma in patients with breast cancer increases with age. Breast Cancer Res. Treat. 2020, 179, 37–45. [Google Scholar] [CrossRef] [Green Version]
  28. Mesker, W.E.; Dekker, T.J.; De Kruijf, E.M.; Engels, C.C.; Van Pelt, G.W.; Smit, V.T.; Tollenaar, R.A. Comment on: The prognostic significance of tumour-stroma ratio in oestrogen receptor-positive breast cancer. Br. J. Cancer 2015, 112, 1832–1833. [Google Scholar] [CrossRef] [Green Version]
  29. Downey, C.L.; Simpkins, S.A.; Holliday, D.L.; Jones, J.L.; Jordan, L.B.; Kulka, J.; Hanby, A.M.; Speirs, V. Reponse to: Comment on, ‘Tumour-stroma ratio (TSR) in oestrogen-positive breast cancer patients’. Br. J. Cancer 2015, 112, 1833–1834. [Google Scholar] [CrossRef] [Green Version]
  30. Ahn, S.; Cho, J.; Sung, J.-Y.; Lee, J.E.; Nam, S.J.; Kim, K.-M.; Cho, E.Y. The prognostic significance of tumor-associated stroma in invasive breast carcinoma. Tumor Biol. 2012, 33, 1573–1580. [Google Scholar] [CrossRef]
  31. Vangangelt, K.M.; Tollenaar, L.S.; Van Pelt, G.W.; De Kruijf, E.M.; Dekker, T.; Kuppen, P.J.; Tollenaar, R.A.; Mesker, W.E. The prognostic value of tumor-stroma ratio in tumor-positive axillary lymph nodes of breast cancer patients. Int. J. Cancer 2018, 143, 3194–3200. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Park, C.K.; Jung, W.H.; Koo, J.S. Expression of cancer-associated fibroblast-related proteins differs between invasive lobular carcinoma and invasive ductal carcinoma. Breast Cancer Res. Treat. 2016, 159, 55–69. [Google Scholar] [CrossRef] [PubMed]
  33. Barth, P.J.; Ebrahimsade, S.; Ramaswamy, A.; Moll, R. CD34+ fibrocytes in invasive ductal carcinoma, ductal carcinoma in situ, and benign breast lesions. Virchows Arch. 2002, 440, 298–303. [Google Scholar] [CrossRef] [PubMed]
  34. Ramaswamy, A.; Moll, R.; Barth, P.J. CD34 + fibrocytes in tubular carcinomas and radial scars of the breast. Virchows Arch. 2003, 443, 536–540. [Google Scholar] [CrossRef]
  35. Westhoff, C.C.; Jank, P.; Jacke, C.O.; Albert, U.-S.; Ebrahimsade, S.; Barth, P.J.; Moll, R. Prognostic relevance of the loss of stromal CD34 positive fibroblasts in invasive lobular carcinoma of the breast. Virchows Arch. 2020, 477, 717–724. [Google Scholar] [CrossRef]
  36. McCart Reed, A.E.; Kalinowski, L.; Simpson, P.T.; Lakhani, S.R. Invasive lobular carcinoma of the breast: The increasing importance of this special subtype. Breast Cancer Res. 2021, 23, 6. [Google Scholar] [CrossRef]
  37. Desmedt, C.; Salgado, R.; Fornili, M.; Pruneri, G.; Van Den Eynden, G.; Zoppoli, G.; Rothé, F.; Buisseret, L.; Garaud, S.; Willard-Gallo, K.; et al. Immune Infiltration in Invasive Lobular Breast Cancer. JNCI J. Natl. Cancer Inst. 2018, 110, 768–776. [Google Scholar] [CrossRef]
  38. Tille, J.-C.; Vieira, A.; Saint-Martin, C.; Djerroudi, L.; Furhmann, L.; Bidard, F.-C.; Kirova, Y.; Tardivon, A.; Reyal, F.; Carton, M.; et al. Tumor-infiltrating lymphocytes are associated with poor prognosis in invasive lobular breast carcinoma. Mod. Pathol. 2020, 33, 2198–2207. [Google Scholar] [CrossRef]
  39. Dennison, J.B.; Shahmoradgoli, M.; Liu, W.; Ju, Z.; Meric-Bernstam, F.; Perou, C.M.; Sahin, A.A.; Welm, A.L.; Oesterreich, S.; Sikora, M.J.; et al. High Intratumoral Stromal Content Defines Reactive Breast Cancer as a Low-risk Breast Cancer Subtype. Clin. Cancer Res. 2016, 22, 5068–5078. [Google Scholar] [CrossRef] [Green Version]
  40. Farmer, P.; Bonnefoi, H.; Anderle, P.; Cameron, D.A.; Wirapati, P.; Becette, V.; André, S.; Piccart-Gebhart, M.; Campone, M.; Brain, E.; et al. A stroma-related gene signature predicts resistance to neoadjuvant chemotherapy in breast cancer. Nat. Med. 2009, 15, 68–74. [Google Scholar] [CrossRef]
  41. Sonnenblick, A.; Salmon-Divon, M.; Salgado, R.; Dvash, E.; Pondé, N.; Zahavi, T.; Salmon, A.; Loibl, S.; Denkert, C.; Joensuu, H.; et al. Reactive stroma and trastuzumab resistance in HER2-positive early breast cancer. Int. J. Cancer 2020, 147, 266–276. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Flowchart of female breast cancer patients with tumors primarily classified as lobular breast cancer at the Departments of Pathology, Skåne University Hospital Lund, and Helsingborg Hospital (1980–1991). a Estrogen-receptor (ER) expression (1D5, DAKO, 1:100) was analyzed through immunohistochemistry (IHC) of whole sections. ER-positivity (+) was defined as >10% stained nuclei. b Human-epidermal growth-factor-receptor-2 (HER2) expression (CB11, Novocastra, 1:200) was analyzed using IHC on tissue microarray (TMA) and categorized into 4 different IHC groups depending on the cell membrane staining intensity: 0, 1+, 2+, 3+. A value of 3+ was considered positive (HER2+). A HER2 amplification test was not performed.
Figure 1. Flowchart of female breast cancer patients with tumors primarily classified as lobular breast cancer at the Departments of Pathology, Skåne University Hospital Lund, and Helsingborg Hospital (1980–1991). a Estrogen-receptor (ER) expression (1D5, DAKO, 1:100) was analyzed through immunohistochemistry (IHC) of whole sections. ER-positivity (+) was defined as >10% stained nuclei. b Human-epidermal growth-factor-receptor-2 (HER2) expression (CB11, Novocastra, 1:200) was analyzed using IHC on tissue microarray (TMA) and categorized into 4 different IHC groups depending on the cell membrane staining intensity: 0, 1+, 2+, 3+. A value of 3+ was considered positive (HER2+). A HER2 amplification test was not performed.
Cancers 14 00941 g001
Figure 2. Representative photos of (A) high and (B) low intratumoral stromal content on hematoxylin–eosin-stained whole sections (magnification 100×).
Figure 2. Representative photos of (A) high and (B) low intratumoral stromal content on hematoxylin–eosin-stained whole sections (magnification 100×).
Cancers 14 00941 g002
Figure 3. Risk of breast cancer death in lobular breast cancer by intratumoral stromal content; 10- and 25-year follow-up. Abbreviations: BC—breast cancer; CI—confidence interval; HR—hazard ratio.
Figure 3. Risk of breast cancer death in lobular breast cancer by intratumoral stromal content; 10- and 25-year follow-up. Abbreviations: BC—breast cancer; CI—confidence interval; HR—hazard ratio.
Cancers 14 00941 g003
Figure 4. Risk of breast cancer death in lobular breast cancer by intratumoral stromal content; 10- and 25-year follow-up for (A) luminal A-like, (B) luminal B-like, and (C) NHG 2. Abbreviations: BC—breast cancer; CI—confidence interval; HR—hazard ratio; NHG—Nottingham histological grade; stroma; intratumoral stromal content.
Figure 4. Risk of breast cancer death in lobular breast cancer by intratumoral stromal content; 10- and 25-year follow-up for (A) luminal A-like, (B) luminal B-like, and (C) NHG 2. Abbreviations: BC—breast cancer; CI—confidence interval; HR—hazard ratio; NHG—Nottingham histological grade; stroma; intratumoral stromal content.
Cancers 14 00941 g004aCancers 14 00941 g004bCancers 14 00941 g004c
Table 1. Patient and tumor characteristics in relation to intratumoral stromal content.
Table 1. Patient and tumor characteristics in relation to intratumoral stromal content.
Variablesn = 182High Stroma
(n = 82)
Low Stroma
(n = 100)
p-Value
Age, median (range)63 (39–85)63 (37–85)62 (40–86)0.581 a
Menopause 0.326 b
Pre431726
Post1336469
Missing6
Size 0.281 b
0–20 mm1034954
>20mm763046
Missing3
Nodal status 0.359 b
01075453
1–3271116
4+391524
Missing9
NHG <0.001 b
122193
21456283
313013
Missing2
PR 0.827 b
<1%351619
≥1%1426280
Missing5
≤20%4619270.661 b
>20%1315972
Missing5
Ki67 0.049 b
Low (<24%)1617487
High (≥24%)12210
Missing9
Luminal 0.012 b
Luminal A-like1115754
Luminal B-like632043
Missing8
Surgery 0.568 b
BCS432122
Mastectomy1396178
Endocrine treatment c 0.159 b
Yes722844
No1095455
Missing1
Chemotherapy c 0.503 b
Yes532
No1767997
Missing1
Recurrence d 0.018 b
Yes752649
No1075651
Abbreviations: NHG—Nottingham histological grade; PR—progesterone receptor; Ki67—proliferation marker; luminal A-like—NHG 1+2, low Ki67, and PR > 20%; luminal B-like—NHG 3, high Ki67, or PR ≤ 20% (at least one of the three criteria fulfilled); BCS—breast conserving surgery. a p-value from Mann–Whitney U-test; b p-value from Pearson’s chi-square test; c adjuvant treatment; d including: local, regional, and distant recurrence.
Table 2. Patient and tumor characteristics associated with breast cancer mortality after 10-year follow-up in univariable and multivariable analyses.
Table 2. Patient and tumor characteristics associated with breast cancer mortality after 10-year follow-up in univariable and multivariable analyses.
VariablesnUnivariable 10 YearsMultivariable (n = 157) 10 Years
HR95% CIp-ValueHR95% CIp-Value
Age (years)1820.940.91–0.97<0.0010.930.89–0.980.002
Size
(0–20 vs. >20 mm)
1793.561.78–7.14<0.0011.640.64–4.210.304
Nodal status
N01071.00 1.00
N1 (1–3+)271.660.58–4.710.3420.670.17–2.680.566
N ≥ 2 (4+)395.922.85–12.33<0.0012.831.02–7.800.045
NHG (3grps)
1220.220.03–1.610.1361.050.12–9.550.967
21451.00 1.00
3133.931.51–10.210.0055.681.81–17.860.003
PR (≤1 vs. >1%)1770.640.30–1.370.2480.240.08–0.720.010
Ki67
(high vs. low)
1735.332.30–12.36<0.0014.001.41–11.330.009
Stroma
(high vs. low)
1820.430.21–0.890.0230.450.16–1.260.128
ET (yes vs. no)1810.520.27–1.000.0480.580.22–1.520.270
Abbreviations: HR—hazard ratio; NHG—Nottingham histological grade; PR—progesterone receptor; Ki67—proliferation marker; stroma—intratumoral stromal content; ET—endocrine treatment.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Forsare, C.; Vistrand, S.; Ehinger, A.; Lövgren, K.; Rydén, L.; Fernö, M.; Narbe, U. The Prognostic Role of Intratumoral Stromal Content in Lobular Breast Cancer. Cancers 2022, 14, 941. https://doi.org/10.3390/cancers14040941

AMA Style

Forsare C, Vistrand S, Ehinger A, Lövgren K, Rydén L, Fernö M, Narbe U. The Prognostic Role of Intratumoral Stromal Content in Lobular Breast Cancer. Cancers. 2022; 14(4):941. https://doi.org/10.3390/cancers14040941

Chicago/Turabian Style

Forsare, Carina, Sara Vistrand, Anna Ehinger, Kristina Lövgren, Lisa Rydén, Mårten Fernö, and Ulrik Narbe. 2022. "The Prognostic Role of Intratumoral Stromal Content in Lobular Breast Cancer" Cancers 14, no. 4: 941. https://doi.org/10.3390/cancers14040941

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop