Научная статья на тему 'PREDICTIVE MOLECULAR MARKERS OF RESISTANCE TO CHEMOTHERAPY IN BREAST CANCER'

PREDICTIVE MOLECULAR MARKERS OF RESISTANCE TO CHEMOTHERAPY IN BREAST CANCER Текст научной статьи по специальности «Клиническая медицина»

CC BY
51
10
i Надоели баннеры? Вы всегда можете отключить рекламу.
Журнал
The Moldovan Medical Journal
Область наук
Ключевые слова
BREAST CANCER / NEOADJUVANT CHEMOTHERAPY / BIOMARKER / PREDICTOR

Аннотация научной статьи по клинической медицине, автор научной работы — Cucieru Valerian

Backgraund: Breast cancer is one of the three most common cancers along with lung and colon cancer. It is a leading cause of cancer deaths in both developing and developed countries. Within 2 decades, neoadjuvant chemotherapy (NAC) has become a standard treatment option in breast cancer. Relevant articles were identified by means of PubMed, Embase, Web of Science, Cochrane Library and Springer Link databases published during the years 2010-2019, describing the role of molecular biomarkers in the assessment of NAC for breast cancer. Conclusions: The size of the breast primary tumor, the affection of the regional lymph nodes, the degree of tumor differentiation, the expression of hormone receptors, HER2neu, ki67 serve as main criteria for predicting the response to NAC. Preoperative core needle biopsy is the gold standard procedure in cancer diagnostics, in the analysis of predictive biomarkers, particularly utilizing histomorphological characteristics. Carrying out a larger number of cycles of NAC as well as correlating the schemes in relation to the immunohistochemical types have a direct influence on obtaining a good response to treatment. Patients with a pathologic complete response had superior survival outcomes compared with patients who had residual disease.

i Надоели баннеры? Вы всегда можете отключить рекламу.
iНе можете найти то, что вам нужно? Попробуйте сервис подбора литературы.
i Надоели баннеры? Вы всегда можете отключить рекламу.

Текст научной работы на тему «PREDICTIVE MOLECULAR MARKERS OF RESISTANCE TO CHEMOTHERAPY IN BREAST CANCER»

DOI: 10.5281/zenodo.4527217 UDC: 618.19-006.6-085.28-037:577.21

Open Q

Access

Predictive molecular markers of resistance to chemotherapy in breast cancer

Valerian Cucieru

Department of Breast Cancer, Institute of Oncology, Chisinau, the Republic of Moldova Author's ORCID iD, academic degrees and contribution are available at the end of the article

Corresponding author: [email protected] Manuscript received June 20, 2020; revised manuscript July 08, 2020; published online February 22, 2021

Abstract

Backgraund: Breast cancer is one of the three most common cancers along with lung and colon cancer. It is a leading cause of cancer deaths in both developing and developed countries. Within 2 decades, neoadjuvant chemotherapy (NAC) has become a standard treatment option in breast cancer. Relevant articles were identified by means of PubMed, Embase, Web of Science, Cochrane Library and Springer Link databases published during the years 2010-2019, describing the role of molecular biomarkers in the assessment of NAC for breast cancer.

Conclusions: The size of the breast primary tumor, the affection of the regional lymph nodes, the degree of tumor differentiation, the expression of hormone receptors, HER2neu, ki67 serve as main criteria for predicting the response to NAC. Preoperative core needle biopsy is the gold standard procedure in cancer diagnostics, in the analysis of predictive biomarkers, particularly utilizing histomorphological characteristics. Carrying out a larger number of cycles of NAC as well as correlating the schemes in relation to the immunohistochemical types have a direct influence on obtaining a good response to treatment. Patients with a pathologic complete response had superior survival outcomes compared with patients who had residual disease. Key words: breast cancer, neoadjuvant chemotherapy, biomarker, predictor.

Cite this article

Cucieru V. Predictive molecular markers of resistance to chemotherapy in breast cancer. Mold Med J. 2021;64(1):68-70. doi: 10.5281/zenodo.4527217.

Introduction

Breast cancer (BC) is the most common malignancy among women, with a growing incidence. Every tenth primary cancer patient is diagnosed with breast cancer. It is also the leading cause of cancer death in women [1].

Breast cancer is a group of heterogeneous diseases with numerous genetic alterations and relatively uniform histo-logical phenotypes. Therefore, identification of the histologi-cal characteristics that can help to predict the therapeutic response or the clinical prognosis in breast core needle biopsy (CNB) specimens can prove valuable [2].

Neoadjuvant chemotherapy (NAC) of BC improves outcomes, especially in patients with locally advanced and inflammatory cancer. Further insight into clinic-pathological factors influencing outcomes is essential to define the optimal therapeutic strategy for each category of patients and to predict the response to the treatment [3].

Presently, preoperative core needle biopsy (CNB) is the gold standard procedure in cancer diagnostics. In addition to its diagnostic role, recent data have suggested another role for CNB in the analysis of predictive biomarkers, particularly utilizing histomorphological characteristics [4].

In addition, significant volume reduction in tumors after neoadjuvant chemotherapy may permit subsequent, successful breast-conserving surgical treatment [5].

There is significant variability in the histopathologic response of tumors to neoadjuvant chemotherapy, with approximately 15% of patients achieving a complete response, whereas, at the other end of the spectrum, 15% of patients

display minimal change or progressive disease. Currently, the underlying mechanism for this variability is unknown. Contributing factors may include the diverse genetic background and hormonal environment of the tumor. Previous studies have focused on the correlation between the response of tumors to chemotherapy and various factors, such as histo-logic grade, DNA ploidy, cell kinetics, and hormonal receptor status of the primary tumor. However, those studies yielded inconsistent results [6, 7, 8].

Therefore, despite the cumulation of more information about biomarker impact in breast cancer chemotherapy, mostly treatment regimens are standard, so the 5-year survival rate did not serve to make significant changes.

It was searched what the PubMed, Embase, Web of Science, Cochrane Library and Springer Link databases published during the years 2010-2019. The author identified relevant articles describing the role of molecular biomarkers in the assessment of neoadjuvant chemotherapy for breast cancer.

Discussion

The purpose of this review is to present the role of assessing predictive molecular markers in selecting the chemother-apeutic treatment needed for breast cancer patients.

NAC that is designed to be used before surgical removal of a tumor has attracted special attention in oncology [9].

The application of neoadjuvant chemotherapy in locally advanced breast cancers has demonstrated high efficacy by transforming inoperable tumors into operable, avoiding radical mastectomies in ~ 25% [9].

The indications for NAC at present are quite broad: BC in

REVIEW ARTICLE

V. Cucieru. Moldovan Medical Journal. March 2021;64(1):68-70

the early stages in preparation for organ-threatening operations, locally advanced BC, edema-inflammatory form of the disease, regional lymph nodes affection, and big size of the primary tumor [10].

There are several benefits of using neoadjuvant chemotherapy. It provides a unique opportunity to evaluate the response to treatment with a complete pathological response that acts as a surrogate marker of survival and for a faster assessment of the efficacy of new therapeutic agents and early cessation of ineffective treatment. In addition, in case of resistance to treatment, dose adjustment and / or switching to another drug relieves patients of the burden of toxicity and side effects. NAC provides an opportunity for individualized therapy and allows the collection of tumor samples before, during, and after treatment for translational research [11].

A number of data have been published in the literature on the importance of applying long-term neoadjuvant chemotherapy in cases of chemoresistant breast cancer [12, 13, 14].

The appearance of chemoresistance of primary breast tumors is of primordial importance in the modern treatment of BC. The theoretical-practical aspects that clarify the acquisition of cancer cell resistance to chemotherapeutic drugs are insufficiently studied in the literature. Various theories are assumed by which the gene encoding the transport protein of chemotherapeutic drugs is disrupted, the genetic modification of the receptors of the cancer cell membrane, the changes of intracellular transport, etc. Thus, the study of the predictive factors of the appearance of chemotherapeutic resistance is of great importance in the evaluation of individualized drug treatment schemes [15].

The response rate of the tumor to NAC can be evaluated by several methods: clinical examination (assessment of tumor size, skin changes and peritumoral regions), breast imaging (ultrasound, mammography, MRI), postoperative mor-phopathological examination. Particular attention is paid to the assessment of the degree of pathomorphosis in the postoperative histopathological examination, the assessment of morphological changes of the tumor and peritumoral region, the assessment of tumor cellularity [16].

The response to NAC is assessed by changing the size of the primary tumor and the affected lymph nodes in the pre-and post-treatment phase. There are 3 types of response to NAC in the literature: pathologic complete response (PCR), near complete response (NCR) defined by the presence of residual primary tumor < 1 cm3, partial pathologic response (PPR) defined by the presence of residual primary tumor measuring > 1 cm3 [8].

In cases with PCR, the authors mention a better prognosis [17].

Studies have shown a response rate to NAC with a variation between 20-30% depending on the immunogenetic profile and the chemotherapeutic scheme used [18].

Achieving complete and partial remission of NAC has better long-term results, with better overall survival compared to cases where tumors do not respond to therapy [19].

Several studies have shown that the immuno-genetic profile of the tumor can serve as a primary criterion in assessing the rate of subsequent response to treatment. Triple-negative and HER2neu-positive tumors (with hormone-negative re-

ceptors) are more aggressive and serve as a criterion for performing NAC. The best response to NAC is found in tumors with small size, high degree of differentiation, the presence of tumor necrosis, hormone-negative receptors, the presence of HER2neu receptor positivity [20, 21].

Luminal type A, compared to other immunohistochemi-cal types, has a better prognosis and in most cases does not require neoadjuvant treatment. The rate of PCR after NAC in the case of Luminal A type is 6%, compared to Luminal B -10%, Her2neu - 47%, Basal-type - 37% [18, 22, 23].

Total and breast PCR rates were higher in HR negative (HR-) patients (26% and 32%, respectively) than in HR positive (HR+) patients (4% and 7%, respectively). Compared to HR+ patients, HR- patients had higher recurrence rates (38% versus 22%). Human epidermal growth factor receptor 2 positive patients treated with neoadjuvant trastuzumab (NAT) demonstrated higher total PCR (34% versus 13%), breast PCR (37% versus 17%), and nodal PCR rates (47% versus 23%) compared to HER2+ patients not treated with NAT. Furthermore, HER2+ patients who received NAT had lower recurrence rates (5% versus 42%) and increased overall survival (97% versus 68%) [18].

Zhang and co-authors noticed that HER2+ patients have poor response to neoadjuvant chemotherapy with 5-fluoro-uracil, doxorubicin, cyclophosphamide (FAC) [17].

So, Transtuzumab, humanized anti-HER2 monoclonal antibody, is considered to be first-line treatment for the patients with HER positive Breast Cancer [2, 17].

The Ki67 index also plays an important role in assessing the need for NAC performance. Some authors have evaluated the higher efficacy of NAC in cases with high Ki67 [15].

NAC cannot modify the molecular subtype of the tumor. Changing the status of receptors after neoadjuvant chemotherapy does not show any change in the cellular origin of the tumor [24].

The histological grade of the CNB specimen represents the significant predictors of chemotherapeutic response using the percentage of the area occupied by the tumor infiltrating lymphocytes (TILs), retraction artifact status, small cell-like feature status, level of tumor necrosis, and clear cytoplasm status [4].

The authors mention a directly proportional correlation. The higher grade of differentiation has the better response rate to NAC. Histologically low differentiated tumors have a lower response rate to NAC. The degree of pathomorpho-sis is the main indicator of the response to NAC. Usually the absence of response correlates directly with the first grade of pathomorphosis, while the fourth grade of pathomorphosis correlates directly with PCR [4, 15, 23].

The assessment of the prognosis depending on the changes of the tumor biomarkers serves an important criterion in establishing the subsequent medical conduct of this patient. The change in the status of hormone receptors after performing NAC, from negative to positive, is interpreted as a favorable indicator of disease prognosis. The change in Her2 status from positive to negative confirms the efficacy of NAC and good prognosis of the disease. The absence of response to NAC in cases of Her2-positive and triple-negative tumors serves as an unfavorable prognostic factor [20, 25].

Randomized prospective studies are needed to select a more balanced choice of patient characteristics and treatment schemes at the beginning and to evaluate the treatment response more appropriately.

Conclusions

1. The size of the breast primary tumor, the affection of the regional lymph nodes, the degree of tumor differentiation, the expression of hormone receptors, HER2neu, ki67 serve as main criteria for predicting the response to neoad-juvant chemotherapy.

2. Preoperative core needle biopsy (CNB) is the gold standard procedure in cancer diagnostics, in the analysis of predictive biomarkers, particularly utilizing histomorpho-logical characteristics.

3. Carrying out a larger number of cycles of neoadjuvant chemotherapy as well as correlating the schemes in relation to the immunohistochemical types have a direct influence on obtaining a good response to treatment.

4. Patients with a PCR had superior survival outcomes compared with patients who had residual disease.

5. The standardization and improvement of methods to assess the response to induction chemotherapy are sorely needed.

References

1. Bray F, McCarron P, Parkin DM. The changing global patterns of female breast cancer incidence and mortality. Breast Cancer Res. 2004;6(6):229-239. doi: 10.1186/bcr932.

2. Albanell J, Baselga J. Trastuzumab, a humanized anti-HER2 monoclonal antibody, for the treatment of breast cancer. Drugs Today (Barc). 1999;35(12):931-946.

3. Del Prete S, Caraglia M, Luce A, et al. Clinical and pathological factors predictive of response to neoadjuvant chemotherapy in breast cancer: a single center experience. Oncol Lett. 2019;18(4):3873-3879. doi: 10.3892/ ol.2019.10729.

4. Jung YY, Hyun CL, Jin MS, et al. Histomorphological factors predicting the response to neoadjuvant chemotherapy in triple-negative breast cancer. J Breast Cancer. 2016;19(3):261-267. doi: 10.4048/jbc. 2016.19.3.261.

5. Schwartz GF, Birchansky CA, Komarnicky LT, et al. Induction chemotherapy followed by breast conservation for locally advanced breast cancer. Cancer. 1994;73(2):362-369. doi: 10.1002/1097-0142(19940115) 73:2<362::aid-cncr2820730221>3.0.co;2-l.

6. Hayward JL, Rubens RD, Carbone PP, et al. Assessment of responses to therapy in advanced breast cancer. A project of the programme on clinical oncology of the International Union against Cancer, Geneva, Switzerland. Eur J Cancer. 1978;14(11):1291-1292. doi: 10.1016/0014-2964(78)90238-4.

7. Owainati AA, Robins RA, Hinton C, et al. Tumor aneuploidy, prognostic parameters and survival in primary breast cancer. Br J Cancer. 1987;55(4):449-454. doi: 10.1038/bjc.1987.88.

8. Wang J, Buchholz TA, Middleton LP, et al. Assessment of histologic features and expression of biomarkers in predicting pathologic response to

anthracycline-based neoadjuvant chemotherapy in patients with breast carcinoma. Cancer. 2002;94(12):3107-3114. doi: 10.1002/cncr.10585.

9. Masood S. Neoadjuvant chemotherapy in breast cancers. Women's Health (London). 2016;12(5):480-491. doi: 10.1177/1745505716677139.

10. Vugts G, Maaskant-Braat A, Nieuwenhuijzen G, et al. Patterns of care in the administration of neo-adjuvant chemotherapy for breast cancer. A population-based study. Breast J. 2016;22(3):316-321. doi: 10.1111/ tbj.12568.

11. Sahoo S, Dabbs DJ, Bhargava R. Pathology of neoadjuvant response of breast carcinoma. In: Dabbs DJ, editor. Breast pathology. Vol. 1. Philadelphia, PA: Elsevier Saunders; 2012. p. 519-535.

12. Liu SV, Melstrom L, Yao K, et al. Neoadjuvant therapy for breast cancer. J Surg Oncol. 2010;101(4):283-291. doi: 10.1002/jso.21446.

13. Mauri D, Pavlidis N, Ioannidis J. Neoadjuvant versus adjuvant systemic treatment in breast cancer: a meta-analysis. J Natl Cancer Inst. 2005;97(3):188-194. doi: 10.1093/jnci/dji021.

14. Mieog J, van der Hage JA, van de Velde CJ. Preoperative chemotherapy for women with operable breast cancer. Cochrane Database Syst Rev. 2007;(2):CD005002. doi: 10.1002/14651858.CD005002.pub2.

15. Balmativola D, Marchio C, Maule M, et al. Pathological non-response to chemotherapy in a neoadjuvant setting of breast cancer: an inter-institutional study. Breast Cancer Res Treat. 2014;148(3):511-523. doi: 10.1007/ s10549-014-3192-3.

16. Rajan R, Poniecka A, Smith TL, et al. Change in tumor cellularity ofbreast carcinoma after neoadjuvant chemotherapy as a variable in the pathologic assessment of response. Cancer. 2004;100(7):1365-1373. doi: 10.1002/ cncr.20134.

17. Zhang F, Yang Y, Smith T, et al. Correlation between HER-2 expression and response to neoadjuvant chemotherapy with 5-fluorouracil, doxoru-bicin, and cyclophosphamide in patients with breast carcinoma. Cancer. 2003;97(7):1758-1765. doi: 10.1002/cncr.11245.

18. Precht IM, Lowe KA, Atwood M, et al. Neoadjuvant chemotherapy of breast cancer: tumor markers as predictors of pathologic response, recurrence, and survival. Breast J. 2010;16(4):362-368. doi: 10.1111/j.1524-4741.2010.00935.x.

19. Cortazar P, Zhang L, Untch M, et al. Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis. Lancet, 2014;384:164-172. doi: 10.1016/S0140-6736(13)62422-8.

20. Esserman LJ, Berry DA, Cheang MC, et al. Chemotherapy response and recurrence-free survival in neoadjuvant breast cancer depends on bio-marker profiles: results from the I-SPY 1 Trial (CALGB 150007/150012). Breast Cancer Res Treat. 2012;132(3):1049-1062. doi: 10.1007/s10549-011-1895-2.

21. Von Minckwitz G, Untch M, Nuesch E, et al. Impact of treatment characteristics on response of different breast cancer phenotypes: pooled analysis of the German neo-adjuvant chemotherapy trials. Breast Cancer Res Treat. 2011;125(1):145-156. doi: 10.1007/s10549-010-1228-x.

22. Ak N, Velidedeoglu M, Ucar E, et al. Pathological factors predicting neo-adjuvant chemotherapy response and survival in breast cancer. J Cancer Sci Ther. 2020;12(3):1-6.

23. Gluck S, de Snoo F, Peeters J, Stork-Sloots L, Somlo G. Molecular subtyping of early-stage breast cancer identifies a group of patients who do not benefit from neoadjuvant chemotherapy. Breast Cancer Res Treat. 2013;139(3):759-767. doi: 10.1007/s10549-013-2572-4.

24. Haffty BG, Perrotta PL, Ward BE, et al. Conservatively treated breast cancer: outcome by histologic subtype. Breast J. 1997;3(1):7-14.

25. Tacca O, Penault-Llorca F, Abrial C, et al. Changes in and prognostic value of hormone receptor status in a series of operable breast cancer patients treated with neoadjuvant chemotherapy. Oncologist. 2007;12(6):636-643. doi: 10.1634/theoncologist.12-6-636.

Author's ORCID iD and academic degrees. Valerian Cucieru, MD, Oncologist - https://orcid.org/0000-0002-5948-0606. Author's contribution. VC conceptualized the idea, conducted literature review, wrote the manuscript and revised the final text. Funding. This study was supported by Institute of Oncology. The review was the author's initiative. The author is independent and takes responsibility for the integrity of the data and accuracy of the data analysis. Ethics approval and consent to participate. No approval was required for this study. Conflict of Interests

There are no known conflicts of interests and financial or non-financial support associated with this publication.

i G0- i

i Надоели баннеры? Вы всегда можете отключить рекламу.