Skip to content
Licensed Unlicensed Requires Authentication Published by De Gruyter September 22, 2017

Ki67 and lymphocytes in the pretherapeutic core biopsy of primary invasive breast cancer: positive markers of therapy response prediction and superior survival

  • Claus M. Schlotter EMAIL logo , Lothar Tietze , Ulf Vogt , Carlos Villena Heinsen and Antje Hahn EMAIL logo

Abstract

Background

Core needle biopsy plays a crucial role as diagnostic tool for BC. Both Ki67 and likely tumor-infiltrating lymphocytes (TILs) in the near future are determining the kind of systemic therapy. The role of TILs in BC is still an issue for clinical research, albeit preliminary results of neoadjuvant and adjuvant clinical studies already now highlight the crucial impact of TILs on therapy response and survival.

Methods

Evaluation of related publications (pubmed) and meeting abstracts (ASCO, SABCS).

Results

The monoclonal antibody Ki67 recognizing a nuclear antigene in proliferating cells is a positive marker of therapy response and superior survival. Endocrine responsive tumors of low proliferation (Ki67 < 14%/11%) respond to tamoxifen, in contrast postmenopausal tumors with higher proliferation respond better to aromatase-inhibitors. Pathological complete response (pCR)-rates increase in tumors with higher proliferation (Ki67 > 19%) vs. tumors with lower proliferation after neoadjuvant chemotherapy (NAC). pCR-rates of up to 60% can be seen in TNBC and HR−, HER2+BC, lower pCR-rates, however, in HR+, HER2− BC. Increased stromal TILs are found in 30% of TNBC and in 19% of HR−, HER2+BC. The percentage of TILs is a significant independent parameter for pCR after NAC. Lymphocyte-predominant BC (LPBC) respond with higher pCR-rates than non-LPBC or tumors without any TILs. Increased TILs in TN and HR−, HER2+ subtypes predict benefit from addition of carboplatin to NAC. TILs are also associated with improved DFS and OS among patients with TNBC and HR−, HER2+ BC. Conversly and interestingly increased TILs in patients with HR+, HER2-(luminal) BC are associated with a 10% higher risk of death per 10% increase of TILs. Interactions between immune system and cancer are complex. The cancer-immunity cycle characterizes these interactions. BC subtypes with higher number of mutations such as TNBC and HR−, HER2+BC are considered to provide a raising number of tumor-associated antigens, thereby capable to build up a higher endogenous immune response. TILs may serve as surrogate marker of both an existing endogenous immune response and the probability to respond to cancer immune therapies. As cancer co-opt immune checkpoint-pathways as a major mechanism of immune resistance, in particular, against cytotoxic T-cells, blockades of checkpoint-pathways by antibodies are one of the goals of the current cancer immunotherapy studies. Therapy studies with antigene-based strategies (vaccines) and antibodies against the immune checkpoints PD-1 and CTLA-4 and their inhibitory pathways in order to enhance cytotoxic T-cell activities against cancer cells with or without chemotherapy are underway.

Conclusions

It can be suggested that the use of multigene expression testing will increase in order to select more clearly primary HR+, HER2− BC patients with intermediate recurrence risk who likely may benefit from chemotherapy. Furthermore Ki67 and the multigene expression test Oncotype DX can act as dynamic markers to avoid cytostatic overtreatment and endocrine undertreatment. A data-derived optimal Ki67 cut point for pCR and DFS as well as OS is currently not feasible. The integration of stromal TILs into the immunohisto-pathological report after their evaluation has been standardized is likely helpful to determine patients who profit by additional carboplatin chemotherapy. Oncologists need an enlarged information about the tumor-microenvironment in future. The preliminary results of current BC immunotherapy studies are encouraging.

Author Statement

  1. Research funding: Authors state no funding involved.

  2. Conflict of interest: Authors state no conflict of interest.

  3. Informed consent: Informed consent is not applicable.

  4. Ethical approval: The conducted research is not related to either human or animals use.

Authors disclosures of potential conflicts of interest

  1. CMS, UV: Research Funding (Amgen, Aventis), CMS: Travel, Accommodations, Expenses (Bristol, Amgen, Novartis), LT: no relationship to disclose, CVH: no relationship to disclose, AH: Travel, Accommodations, Expenses (Celgene).

References

[1] Perou CM, Sorlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, et al. Molecular portraits of human breast tumors. Nature. 2000;406:747–52.10.1038/35021093Search in Google Scholar PubMed

[2] Sorlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci USA. 2001;98:10869–74.10.1073/pnas.191367098Search in Google Scholar

[3] van’t Veer LJ, Dai H, van de Vijver MJ, He YD, Hart AA, Mao M, et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002;415:530–36.10.1038/415530aSearch in Google Scholar PubMed

[4] The Cancer Genome Atlas Network and Collaborators (357). Comprehensive molecular portraits of human breast tumors. Nature. 2012;490:61–70.10.1038/nature11412Search in Google Scholar PubMed

[5] Rouzier R, Perou CM, Symmans WF, Ibrahim N, Cristofanilli M, Anderson K, et al. Breast cancer molecular subtypes respond differently to preoperative chemotherapy. Clin Cancer Res. 2005;11:5678–85.10.1158/1078-0432.CCR-04-2421Search in Google Scholar PubMed

[6] Goldhirsch A, Wood WC, Coates AS, Gelber RD, Thürlimann B, Senn H-J, et al. Strategies for subtypes – dealing with the diversity of breast cancer: highlights of the St. Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer. Ann Oncol. 2011;22:1736–47.10.1093/annonc/mdr304Search in Google Scholar PubMed

[7] Yerushalmi R, Woods R, Ravdin PM, Hayes MM, Gelmon KA. Ki67 in breast cancer: prognostic and predictive potential. Lancet Oncol. 2010;11:174–83.10.1016/S1470-2045(09)70262-1Search in Google Scholar PubMed

[8] Polley MY, Leung SC, Gao D, Mastropasqua MG, Zabaglo LA, Bartlett JM, et al. An international study to increase concordance in Ki67 scoring. Mod Pathol. 2015;28:778–86.10.1038/modpathol.2015.38Search in Google Scholar PubMed

[9] DeNardo DG, Coussens LM. Inflammation and breast cancer. Balancing immune response: crosstalks between adaptive and innate cells during breast cancer progression. Breast Cancer Res. 2007;9:212.10.1186/bcr1746Search in Google Scholar PubMed PubMed Central

[10] Salgado R, Denkert C, Demaria S, Sirtaine N, Klauschen F, Pruneri G, et al. The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: recommendations by an International TILs Working Group 2014. Ann Oncol. 2015;26:259–71.10.1093/annonc/mdu450Search in Google Scholar PubMed PubMed Central

[11] Chen DS, Mellman I. Oncology meets immunology: the cancer-immunity cycle. Immunity. 2013;39:1–10.10.1016/j.immuni.2013.07.012Search in Google Scholar PubMed

[12] Ribas A. Tumor immunotherapy directed at PD-1. N Engl J Med. 2012;366:2517–19.10.1056/NEJMe1205943Search in Google Scholar PubMed

[13] Adams S, Gray RJ, Demaria S, Goldstein L, Perez EA, Shulman LN, et al. Prognostic value of tumor-infiltrating lymphocytes in triple- negative breast cancers from two phase III randomized adjuvant breast cancer trials: ECOG 2197 and ECOG 1199. J Clin Oncol. 2014;32:2959–66.10.1200/JCO.2013.55.0491Search in Google Scholar PubMed PubMed Central

[14] Liu S, Lachapelle J, Leung S, Gao D, Foulkes WD, Nielsen TO. CD8+ lymphocyte infiltration is an independent favorable prognostic indicator in basal-like breast cancer. Breast Cancer Res. 2012;14:R48.10.1186/bcr3148Search in Google Scholar PubMed PubMed Central

[15] Wang K, Xu J, Zhang T, Xue D. Tumor-infiltrating lymphocytes in breast cancer predict the response to chemotherapy and survival outcome: a meta-analysis. Oncotarget. 2016;7:44288–98.10.18632/oncotarget.9988Search in Google Scholar PubMed PubMed Central

[16] Alistar A, Chou JW, Nagalla S, Black MA, D’Agostino R, Miller LD. Dual roles for immune metagenes in breast cancer prognosis and therapy prediction. Genome Med. 2014;6:80.10.1186/s13073-014-0080-8Search in Google Scholar PubMed PubMed Central

[17] Desmedt C, Haibe KB, Wirapati P, Buyse M, Larsimont D, Bontempi G, et al. Biological processes associated with breast cancer clinical outcome depend on molecular subtypes. Clin Cancer Res. 2008;14:5158–65.10.1158/1078-0432.CCR-07-4756Search in Google Scholar PubMed

[18] Carey LA, Perou CM, Livasy CA, Dressler LG, Cowan D, Conway K, et al. Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. J Am Med Assoc. 2006;295:2492–502.10.1001/jama.295.21.2492Search in Google Scholar PubMed

[19] Creighton CJ. The molecular profile of luminal B breast cancer. Biologics. 2012;6:289–97.10.2147/BTT.S29923Search in Google Scholar PubMed PubMed Central

[20] Dowsett M, Sestak I, Lopez-Knowles E, Sidhu K, Dunbier AK, Cowens JW, et al. Comparison of PAM50 risk of recurrence score with Oncotype DX and IHC4 for predicting risk of distant recurrence after endocrine therapy. J Clin Oncol. 2013;31:2783–90.10.1200/JCO.2012.46.1558Search in Google Scholar PubMed

[21] Gnant M, Filipits M, Greil R, Stoeger H, Rudas M, Bago-Horvath Z, et al. Predicting distant recurrence in receptor-positive breast cancer patients with limited clinicopathological risk: using the PAM50 Risk of Recurrence score in 1478 postmenopausal patients of the ABCSG-8 trial treated with adjuvant endocrine therapy alone. Ann Oncol. 2014;25:339–45.10.1093/annonc/mdt494Search in Google Scholar PubMed

[22] Prat A, Cheang MC, Martin M, Parker JS, Carasco E, Caballero R, et al. Progesterone receptor-positive tumor cells within immunohistochemically defined luminal A breast cancer. J Clin Oncol. 2013;31:203–09.10.1200/JCO.2012.43.4134Search in Google Scholar PubMed PubMed Central

[23] Goldhirsch A, Winer EP, Coates AS, Gelber RD, Piccart-Gebhart M, Thürlimann B, et al. Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the primary therapy of early breast cancer. Ann Oncol. 2013;24:2206–23.10.1093/annonc/mdt303Search in Google Scholar PubMed PubMed Central

[24] Dowsett M, Nielsen TO, A’Hern R, Bartlett J, Coombes RC, Cuzick J, et al. Assessment of Ki67 in breast cancer: recommendations from the International Ki67 in Breast Cancer Working Group. J Natl Cancer Inst. 2011;103:1656–64.10.1093/jnci/djr393Search in Google Scholar PubMed PubMed Central

[25] Gluz O, Nitz UA, Christgen M, Kates RE, Shak S, Clemens M, et al. West German Study Group Phase III PlanB Trial: first prospective outcome data for the 21-gene recurrence score assay and concordance of prognostic markers by central and local pathology assessment. J Clin Oncol. 2016;34:2341–49.10.1200/JCO.2015.63.5383Search in Google Scholar PubMed

[26] Paik S, Shak S, Tang G, Kim C, Baker J, Cronin M, et al. A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med. 2004;351:2817–26.10.1056/NEJMoa041588Search in Google Scholar PubMed

[27] Coates AS, Winer EP, Goldhirsch A, Gelber RD, Gnant M, Piccart-Gebhart M, et al. Tailoring therapies – improving the management of early breast cancer: St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2015. Ann Oncol. 2015;26:1533–46.10.1093/annonc/mdv221Search in Google Scholar PubMed PubMed Central

[28] Untch M, Harbeck N, Huober J, von Minckwitz G, Gerber B, Kreipe HH, et al. Primary therapy of patients with early breast cancer: evidence, controversies, consensus. Opinions of german specialists to the the 14th St Gallen International Breast Cancer Conference 2015 (Vienna 2015). Geburtsh Frauenheilk. 2015;75:556–65.Search in Google Scholar

[29] Cheang MC, Chia SK, Voduc D, Gao D, Leung S, Snider J, et al. Ki67 index, HER2 status, and prognosis of patients with luminal B breast cancer. J Natl Cancer Inst. 2009;101:736–50.10.1093/jnci/djp082Search in Google Scholar PubMed PubMed Central

[30] Viale G, Giobbie-Hurder A, Regan MM, Coates AS, Mastropasqua MG, DellÒrto P, et al. Prognostic and predictive value of centrally reviewed Ki67 labeling index in postmenopausal women with endocrine-responsive breast cancer: results from Breast International Group Trial 1–98 comparing adjuvant tamoxifen with letrozole. J Clin Oncol. 2008;26:5569–75.10.1200/JCO.2008.17.0829Search in Google Scholar PubMed PubMed Central

[31] Denkert C, Loibl S, Müller BM, Eidtmann H, Schmitt WD, Eiermann W, et al. Ki67 levels as predictive and prognostic parameters in pretherapeutic breast cancer core biopsies: a translational investigation in the neoadjuvant GeparTrio trial. Ann Oncol. 2013;24:2786–93.10.1093/annonc/mdt350Search in Google Scholar PubMed

[32] Hahn A, Schlotter CM, Rossmanith WG, Ulmer HU, Staiger HJ, Villena C. Neoadjuvant chemotherapy for breast cancer with weekly nab-paclitaxel followed by epirubicin and cyclophosphamide – results of a case series. In Vivo. 2014;28:235–41.Search in Google Scholar PubMed

[33] Hess KR, Anderson K, Symmans WF, Valero V, Ibrahim N, Mejia JA, et al. Pharmacogenomic predictor of sensitivity to preoperative chemotherapy with paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide in breast cancer. J Clin Oncol. 2006;24:4236–44.10.1200/JCO.2006.05.6861Search in Google Scholar PubMed

[34] Carey LA, Dees EC, Sawyer L, Gatti L, Moore DT, Collichio F, et al. The triple negative paradox: primary tumor chemosensitivity of breast cancer subtypes. Clin Cancer Res. 2007;13:2329–34.10.1158/1078-0432.CCR-06-1109Search in Google Scholar PubMed

[35] Straver ME, Glas AM, Hannemann J, Wesseling J, van de Vijver MJ, Rutgers EJ, et al. The 70-gene signature as a response predictor for neoadjuvant chemotherapy in breast cancer. Cancer Res Treat. 2010;119:551–58.10.1007/s10549-009-0333-1Search in Google Scholar PubMed

[36] Krijgsman O, Roepman P, Zwart W, Carroll JS, Tian S, de Snoo FA, et al. A diagnostic gene profile for molecular subtyping of breast cancer associated with treatment response. Breast Cancer Res Treat. 2012;133:37–47.10.1007/s10549-011-1683-zSearch in Google Scholar PubMed

[37] von Minckwitz G, Untch M, Blohmer JU, Costa SD, Eidtmann H, Fasching PA, et al. Definition and impact of pathological complete response on prognosis after neoadjuvant chemotherapy in various intrinsic breast cancer subtypes. J Clin Oncol. 2012;30:1796–804.10.1200/JCO.2011.38.8595Search in Google Scholar PubMed

[38] Hofmann D, Nitz U, Gluz O, Kates RE, Schinkoethe T, Staib P, et al. WSG ADAPT-adjuvant dynamic marker-adjusted personalized therapy trial optimizing risk assessment and therapy response prediction i early breast cancer: study protocol for a prospective, multicenter, controlled, non-blinded, randomized, investigator initiated phase II/III trial. Trials. 2013;14:261.10.1186/1745-6215-14-261Search in Google Scholar PubMed PubMed Central

[39] Gluz O, Nitz U, Kates RE, Kreipe HH, Christgen M, Hofmann D, et al. Oncotype DX and proliferation response to short-term preoperative endocrine therapy for chemotherapy decision in early breast cancer: biomarker data from the prospective multicentre phase II/III WSG-ADAPT trial. J Clin Oncol. 2014;32(5s (suppl; abstr 524)) .10.1200/jco.2014.32.15_suppl.524Search in Google Scholar

[40] Denkert C, Loibl S, Noske A, Roller M, Müller BM, Komor M, et al. Tumor-associated lymphocytes as an independent predictor of response to neoadjuvant chemotherapy in breast cancer. J Clin Oncol. 2010;28:105–13.10.1200/JCO.2009.23.7370Search in Google Scholar PubMed

[41] Denkert C, von Minckwitz G, Darb-Esfahani S, Ingold-Heppner B, Klauschen F, Furlanetto J, . Evaluation of tumor-infiltrating lymphocytes (TILs) as predictive and prognostic biomarker in different subtypes of breast cancer treated with neoadjuvant therapy – A meta-analysis of 3771 patients. San Antonio Breast Cancer Symposium, 2016 abstract S1-9.10.1158/1538-7445.SABCS16-S1-09Search in Google Scholar

[42] Denkert C, von Minckwitz G, Brase JC, Sinn BV, Gade S, Kronenwett R, et al. Tumor-infiltrating lymphocytes and response to neoadjuvant chemotherapy with or without carboplatin in human epidermal growth factor receptor 2-positive and triple-negative primary breast cancers. J Clin Oncol. 2015;33:983–91.10.1200/JCO.2014.58.1967Search in Google Scholar PubMed

[43] Seo AN, Lee HJ, Kim EJ, Jang MH, Lee HE, Kim YJ, et al. Tumor-infiltrating CD8+ lymphocytes as an independent predictive factor for pathological complete response to primary systemic therapy in breast cancer. Br J Cancer. 2013;109:2705–13.10.1038/bjc.2013.634Search in Google Scholar PubMed PubMed Central

[44] Mahmuod SM, Paish EC, Powe DG, Macmillan RD, Grainge MJ, Lee AH, et al. Tumor-infiltrating CD8+ lymphocytes predict clinical outcome in breast cancer. J Clin Oncol. 2011;29:1949–55.10.1200/JCO.2010.30.5037Search in Google Scholar PubMed

[45] Liu S, Foulkes WD, Leung S, Gao D, Lau S, Kos Z, et al. Prognostic significance of FOXP3+ tumor-infiltrating lymphocytes in breast cancer depends on estrogen receptor and human epidermal growth factor receptor-2 expression status and concurrent cytotoxic T-cell infiltration. Cancer Res. 2014;16:432–38.10.1186/s13058-014-0432-8Search in Google Scholar PubMed PubMed Central

[46] Coussens LM, Pollard JW. Leucocyte in mammary development and cancer. Cold Spring Harb Perspect Biol. 2011;3:a003285.10.1101/cshperspect.a003285Search in Google Scholar PubMed PubMed Central

[47] DeNardo DG, Barreto JB, Andreu P, Vasquez L, Tawfik D, Kolhatkar N, et al. CD4(+) T cells regulate pulmonary metastasis of mammary carcinomas by enhancing protumor properties of macrophages. Cancer Cell. 2009;16:91–102.10.1016/j.ccr.2009.06.018Search in Google Scholar PubMed PubMed Central

[48] Pardoll DM. The blockade of immune checkpoints in cancer immunotherapy. Nat Rev Cancer. 2012;12:252–64.10.1038/nrc3239Search in Google Scholar PubMed PubMed Central

[49] Taube JM, Klein A, Brahmer JR, Xu H, Pan X, Kim JH, et al. Associations of PD-1, PD-1 ligands, and other features of the tumor immune microenvironment with response to anti-PD-1 therapy. Clin Cancer Res. 2014;20:5064–74.10.1158/1078-0432.CCR-13-3271Search in Google Scholar PubMed PubMed Central

[50] Lawerence MS, Stojanov P, Polak P, Kryukov GV, Cibulskis K, Sivachenko A, et al. Mutational heterogeneity in cancer and the search for new cancer-associated genes. Nature. 2013;499:214–18.10.1038/nature12213Search in Google Scholar PubMed PubMed Central

[51] Benavides LC, Gates JD, Carmichael MG, Patil R, Holmes JP, Hueman MT, et al. The impact of HER2/neu expression level on response to the E75 vaccine: from U.S. Military Cancer Institute Clinical Trials Group Study I-01 and I-02. Clin Cancer Res. 2009;15:2895–904.10.1158/1078-0432.CCR-08-1126Search in Google Scholar PubMed

[52] Heery CR, Ibrahim NK, Arlen PM, Mohebtash M, Murray JL, Koenig K, et al. Docetaxel alone or in combination with a therapeutic cancer vaccine (PANVAC) in patients with metastatic breast cancer: a randomized clinical trial. JAMA Oncol. 2015;1:1087–95.10.1001/jamaoncol.2015.2736Search in Google Scholar PubMed PubMed Central

[53] McArthur HL, Page DB. Immunotherapy for the treatment of breast cancer: checkpoint blockade, cancer vaccines, and future directions in combination immunotherapy. Clin Adv Hematol Oncol. 2016;14:922–33.Search in Google Scholar PubMed

[54] Nanda R, Chow LQ, Dees EC, Berger R, Gupta S, Geva R, et al. Pembrolizumab in patients with advanced triple-negative breast cancer: phase Ib KEYNOTE-012 study. J Clin Oncol. 2016;34:2.10.1200/JCO.2015.64.8931Search in Google Scholar PubMed PubMed Central

[55] Emens LA, Fasso M, Braiteh FS, Cassier P, Shen X, Xiao Y, et al. Inhibition of PD-L1 by MPD3280A leads to clinical activity in patients with metastatic triple-negative breast cancer. Cancer Res. 2015;75(15 Suppl):abstr 2859 .10.1158/1538-7445.AM2015-2859Search in Google Scholar

[56] Zitvogel L, Apetoh L, Ghiringhelli F, Kroemer G. Immunologic aspects of cancer chemotherapy. Nat Rev Immunol. 2008;8:59–73.10.1038/nri2216Search in Google Scholar PubMed

[57] Adams S, Diamond JR, Hamilton EP, Raffin Pohlmann P, Tolaney SM, Molinero L, et al. Phase Ib trial of atezolizumab in combination with nab-paclitaxel in patients with metastatic triple-negative breast cancer (mTNBC). J Clin Oncol. 2016;34(Suppl):abstr 1009 .10.1200/JCO.2016.34.15_suppl.1009Search in Google Scholar

[58] Nanda R, Liu MC, Yan C, Asare S, Hylton N, van’t Veer L, et al. Pembrolizumab plus standard neoadjuvant therapy for high-risk breast cancer (BC): results from I-SPY2. J Clin Oncol. 2017;35(Suppl):abstr 506 .10.1200/JCO.2017.35.15_suppl.506Search in Google Scholar

[59] Diab A, McArthur HL, Solomon SB, Sacchini V, Comstock C, Maybody M, et al. A pilot study of preoperative (pre-op), single-dose ipililumab (Ipi) and/or cryoablation (cryo) in women (pts) with early-stage/resectable breast cancer (ESBC). J Clin Oncol. 2014;32(15 Suppl):abstr 1098 .10.1200/jco.2014.32.15_suppl.1098Search in Google Scholar

[60] Pusztai L, Karn T, Safonov A, Abu-Khalaf MM, Bianchini G. New strategies in breast cancer: Immunotherapy. Clin Cancer Res. 2016;22:1–6.10.1158/1078-0432.CCR-15-1315Search in Google Scholar PubMed

[61] Larkin J, Chiarion-Sileni V, Gonzalez R, Grob JJ, Coweg CL, Lao D, et al. Combined nivolumab and ipililumab or monotherapy in untreated melanoma. N Engl J Med. 2015;373:23–34.10.1056/NEJMoa1504030Search in Google Scholar PubMed PubMed Central

Received: 2017-4-25
Accepted: 2017-7-22
Published Online: 2017-9-22

©2017 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 2.12.2023 from https://www.degruyter.com/document/doi/10.1515/hmbci-2017-0022/html
Scroll to top button