Literature DB >> 34253579

Immune Phenotype and Response to Neoadjuvant Therapy in Triple-Negative Breast Cancer.

Clinton Yam1, Er-Yen Yen2, Jeffrey T Chang3, Roland L Bassett4, Gheath Alatrash5, Haven Garber1, Lei Huo6, Fei Yang7, Anne V Philips5, Qing-Qing Ding6, Bora Lim1, Naoto T Ueno1, Kasthuri Kannan7, Xiangjie Sun7, Baohua Sun7, Edwin Roger Parra Cuentas7, William Fraser Symmans6, Jason B White1, Elizabeth Ravenberg1, Sahil Seth2, Jennifer L Guerriero8,9, Gaiane M Rauch10, Senthil Damodaran1, Jennifer K Litton1, Jennifer A Wargo2, Gabriel N Hortobagyi1, Andrew Futreal2, Ignacio I Wistuba7, Ryan Sun4, Stacy L Moulder1, Elizabeth A Mittendorf8,9,11.   

Abstract

PURPOSE: Increasing tumor-infiltrating lymphocytes (TIL) is associated with higher rates of pathologic complete response (pCR) to neoadjuvant therapy (NAT) in patients with triple-negative breast cancer (TNBC). However, the presence of TILs does not consistently predict pCR, therefore, the current study was undertaken to more fully characterize the immune cell response and its association with pCR. EXPERIMENTAL
DESIGN: We obtained pretreatment core-needle biopsies from 105 patients with stage I-III TNBC enrolled in ARTEMIS (NCT02276443) who received NAT from Oct 22, 2015 through July 24, 2018. The tumor-immune microenvironment was comprehensively profiled by performing T-cell receptor (TCR) sequencing, programmed death-ligand 1 (PD-L1) IHC, multiplex immunofluorescence, and RNA sequencing on pretreatment tumor samples. The primary endpoint was pathologic response to NAT.
RESULTS: The pCR rate was 40% (42/105). Higher TCR clonality (median = 0.2 vs. 0.1, P = 0.03), PD-L1 positivity (OR: 2.91, P = 0.020), higher CD3+:CD68+ ratio (median = 14.70 vs. 8.20, P = 0.0128), and closer spatial proximity of T cells to tumor cells (median = 19.26 vs. 21.94 μm, P = 0.0169) were associated with pCR. In a multivariable model, closer spatial proximity of T cells to tumor cells and PD-L1 expression enhanced prediction of pCR when considered in conjunction with clinical stage.
CONCLUSIONS: In patients receiving NAT for TNBC, deep immune profiling through detailed phenotypic characterization and spatial analysis can improve prediction of pCR in patients receiving NAT for TNBC when considered with traditional clinical parameters. ©2021 American Association for Cancer Research.

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Year:  2021        PMID: 34253579      PMCID: PMC8752638          DOI: 10.1158/1078-0432.CCR-21-0144

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  49 in total

1.  Tumor-infiltrating lymphocytes predict response to neoadjuvant chemotherapy in patients with breast carcinoma.

Authors:  Helena Hornychova; Bohuslav Melichar; Marketa Tomsova; Jindøiska Mergancova; Hana Urminska; Ales Ryska
Journal:  Cancer Invest       Date:  2008-12       Impact factor: 2.176

2.  featureCounts: an efficient general purpose program for assigning sequence reads to genomic features.

Authors:  Yang Liao; Gordon K Smyth; Wei Shi
Journal:  Bioinformatics       Date:  2013-11-13       Impact factor: 6.937

3.  Using synthetic templates to design an unbiased multiplex PCR assay.

Authors:  Christopher S Carlson; Ryan O Emerson; Anna M Sherwood; Cindy Desmarais; Moon-Wook Chung; Joseph M Parsons; Michelle S Steen; Marissa A LaMadrid-Herrmannsfeldt; David W Williamson; Robert J Livingston; David Wu; Brent L Wood; Mark J Rieder; Harlan Robins
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

4.  The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: recommendations by an International TILs Working Group 2014.

Authors:  R Salgado; C Denkert; S Demaria; N Sirtaine; F Klauschen; G Pruneri; S Wienert; G Van den Eynden; F L Baehner; F Penault-Llorca; E A Perez; E A Thompson; W F Symmans; A L Richardson; J Brock; C Criscitiello; H Bailey; M Ignatiadis; G Floris; J Sparano; Z Kos; T Nielsen; D L Rimm; K H Allison; J S Reis-Filho; S Loibl; C Sotiriou; G Viale; S Badve; S Adams; K Willard-Gallo; S Loi
Journal:  Ann Oncol       Date:  2014-09-11       Impact factor: 32.976

Review 5.  Biology, metastatic patterns, and treatment of patients with triple-negative breast cancer.

Authors:  Carey K Anders; Lisa A Carey
Journal:  Clin Breast Cancer       Date:  2009-06       Impact factor: 3.225

6.  Colony-stimulating factor-1 antibody reverses chemoresistance in human MCF-7 breast cancer xenografts.

Authors:  Patrick Paulus; E Richard Stanley; Romana Schäfer; Dietmar Abraham; Seyedhossein Aharinejad
Journal:  Cancer Res       Date:  2006-04-15       Impact factor: 12.701

7.  Androgen Receptor Immunohistochemistry as a Companion Diagnostic Approach to Predict Clinical Response to Enzalutamide in Triple-Negative Breast Cancer.

Authors:  Varun Kumar; Jianjun Yu; Vernon Phan; Iulia Cristina Tudor; Amy Peterson; Hirdesh Uppal
Journal:  JCO Precis Oncol       Date:  2017-11

8.  Measurement of residual breast cancer burden to predict survival after neoadjuvant chemotherapy.

Authors:  W Fraser Symmans; Florentia Peintinger; Christos Hatzis; Radhika Rajan; Henry Kuerer; Vicente Valero; Lina Assad; Anna Poniecka; Bryan Hennessy; Marjorie Green; Aman U Buzdar; S Eva Singletary; Gabriel N Hortobagyi; Lajos Pusztai
Journal:  J Clin Oncol       Date:  2007-09-04       Impact factor: 44.544

9.  The relationship between components of tumour inflammatory cell infiltrate and clinicopathological factors and survival in patients with primary operable invasive ductal breast cancer.

Authors:  Z M A Mohammed; J J Going; J Edwards; B Elsberger; J C Doughty; D C McMillan
Journal:  Br J Cancer       Date:  2012-08-09       Impact factor: 7.640

10.  Tumor-associated lymphocytes predict response to neoadjuvant chemotherapy in breast cancer patients.

Authors:  Hee Jin Lee; Jin-Young Seo; Jin-Hee Ahn; Sei-Hyun Ahn; Gyungyub Gong
Journal:  J Breast Cancer       Date:  2013-03-31       Impact factor: 3.588

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  10 in total

1.  Tumor Immune Microenvironment Changes by Multiplex Immunofluorescence Staining in a Pilot Study of Neoadjuvant Talazoparib for Early-Stage Breast Cancer Patients with a Hereditary BRCA Mutation.

Authors:  Tapsi Kumar; Evie Hobbs; Fei Yang; Jeffrey T Chang; Alejandro Contreras; Edwin Roger Parra Cuentas; Haven Garber; Sanghoon Lee; Yiling Lu; Marion E Scoggins; Beatriz E Adrada; Gary J Whitman; Banu K Arun; Elizabeth A Mittendorf; Jennifer K Litton
Journal:  Clin Cancer Res       Date:  2022-09-01       Impact factor: 13.801

2.  MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer.

Authors:  Chengyue Wu; Angela M Jarrett; Zijian Zhou; Nabil Elshafeey; Beatriz E Adrada; Rosalind P Candelaria; Rania M M Mohamed; Medine Boge; Lei Huo; Jason B White; Debu Tripathy; Vicente Valero; Jennifer K Litton; Clinton Yam; Jong Bum Son; Jingfei Ma; Gaiane M Rauch; Thomas E Yankeelov
Journal:  Cancer Res       Date:  2022-09-16       Impact factor: 13.312

3.  Dynamic characterization of breast cancer response to neoadjuvant therapy using biophysical metrics of spatial proliferation.

Authors:  Haley J Bowers; Emily Douglas; Katherine Ansley; Alexandra Thomas; Jared A Weis
Journal:  Sci Rep       Date:  2022-07-09       Impact factor: 4.996

4.  Effector memory cytotoxic CD3+/CD8+/CD45RO+ T cells are predictive of good survival and a lower risk of recurrence in triple-negative breast cancer.

Authors:  Xiangjie Sun; Jie Zhai; Baohua Sun; Edwin Roger Parra; Mei Jiang; Wencai Ma; Jing Wang; Anthony M Kang; Kasthuri Kannan; Renganayaki Pandurengan; Shanyu Zhang; Luisa Maren Solis; Cara L Haymaker; Maria Gabriela Raso; Julia Mendoza Perez; Aysegul A Sahin; Ignacio I Wistuba; Clinton Yam; Jennifer K Litton; Fei Yang
Journal:  Mod Pathol       Date:  2021-11-27       Impact factor: 8.209

Review 5.  Peripheral Blood Transcriptome in Breast Cancer Patients as a Source of Less Invasive Immune Biomarkers for Personalized Medicine, and Implications for Triple Negative Breast Cancer.

Authors:  Helena Čelešnik; Uroš Potočnik
Journal:  Cancers (Basel)       Date:  2022-01-25       Impact factor: 6.639

Review 6.  Dissecting Tumor-Immune Microenvironment in Breast Cancer at a Spatial and Multiplex Resolution.

Authors:  Evangelos Tzoras; Ioannis Zerdes; Nikos Tsiknakis; Georgios C Manikis; Artur Mezheyeuski; Jonas Bergh; Alexios Matikas; Theodoros Foukakis
Journal:  Cancers (Basel)       Date:  2022-04-14       Impact factor: 6.575

7.  Neoadjuvant Chemotherapy Improves the Immunosuppressive Microenvironment of Bladder Cancer and Increases the Sensitivity to Immune Checkpoint Blockade.

Authors:  Hao Luo; Gao-Lei Liu; Dan Jian; Dan-Dan Liang; Xue-Mei Li; Li Zhong; Bo Yang; Jun Jiang; Dong Wang; Meng-Xia Li; Wei-Hua Lan; Nan Dai
Journal:  J Immunol Res       Date:  2022-07-21       Impact factor: 4.493

Review 8.  The Role of Pathology-Based Methods in Qualitative and Quantitative Approaches to Cancer Immunotherapy.

Authors:  Olga Kuczkiewicz-Siemion; Kamil Sokół; Beata Puton; Aneta Borkowska; Anna Szumera-Ciećkiewicz
Journal:  Cancers (Basel)       Date:  2022-08-08       Impact factor: 6.575

Review 9.  Triple negative breast cancer: Pitfalls and progress.

Authors:  Paola Zagami; Lisa Anne Carey
Journal:  NPJ Breast Cancer       Date:  2022-08-20

10.  Immune landscape and risk prediction based on pyroptosis-related molecular subtypes in triple-negative breast cancer.

Authors:  Lixi Luo; Qun Wei; Chenpu Xu; Minjun Dong; Wenhe Zhao
Journal:  Front Immunol       Date:  2022-09-16       Impact factor: 8.786

  10 in total

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