Literature DB >> 31673247

PIK3CA-CDKN2A clonal evolution in metastatic breast cancer and multiple points cell-free DNA analysis.

Maria Palmieri1, Margherita Baldassarri2, Francesca Fava1, Alessandra Fabbiani1, Giuseppe Maria Campennì3, Maria Antonietta Mencarelli2, Rossella Tita2, Stefania Marsili4, Alessandra Renieri1,2, Elisa Frullanti1.   

Abstract

BACKGROUND: Daily experience tells us that breast cancer can be controlled using standard protocols up to the advent of a relapse. Now new frontiers in precision medicine like liquid biopsy of cell free DNA (cfDNA) give us the possibility to understand cancer evolution and pick up the key mutation on specific cancer driver gene. However, tight schedule of standardized protocol may impair the use of personalized experimental drugs in a timely therapeutic window. MAIN BODY: Here, using a combination of deep next generation sequencing and cfDNA liquid biopsy, we demonstrated that it is possible to monitor cancer relapse over time. We showed for the first time the exact correspondence from the increasing clonal expansion and clinical worsening of metastatic breast cancer.
CONCLUSION: Thanks to liquid biopsy may be possible to introduce new experimental drugs in the correct therapeutic window which would lead in the near future to an effective treatment which otherwise remains challenging.
© The Author(s) 2019.

Entities:  

Keywords:  Deep-next generation sequencing; Liquid biopsy; PIK3CA-CDKN2A; Targeted-therapy; cfDNA

Year:  2019        PMID: 31673247      PMCID: PMC6819469          DOI: 10.1186/s12935-019-0991-y

Source DB:  PubMed          Journal:  Cancer Cell Int        ISSN: 1475-2867            Impact factor:   5.722


Background

Melchardt et al. 2018 demonstrated that clones in distant relapse of head and neck cancer are different in respect to those identified at the beginning in tumor biopsy [1]. Classically, haematological malignancies have taught us that, within the dynamic clonal evolution, a subclonal expansion of a pre-existing mutated clone leads often to relapse [2, 3]. Expanding clones may be selected by treatment acquiring drug resistance and patients who relapse after an effective therapy usually have a poor prognosis [4, 5]. While at the beginning of tumor expansion there is a consistent, although variable, mutational burden from ten to hundred clones, at relapse the leading clone is usually only one [5]. Liquid biopsy of cell free DNA (cfDNA) has now the potential to follow the temporal evolution and to inform us about the driver mutation of the expanded clone. Among solid tumors, breast cancer is one of the most facing a high risk of recurrence after curative surgery and therapeutic treatment. PIK3CA mutations are found in 27% of cases of disease progression in breast cancer [6]. Free survival was demonstrated to be inversely correlated with PIK3CA mutations at liquid biopsy [7] but longitudinal analysis of clonal evolution and disease progression was missed.

Main text

Using a combination of deep next generation sequencing and cfDNA liquid biopsy (Oncomine pan-cancer cell free assay and tissues/blood custom panels on ion proton platform, life technologies), we showed for the first time the exact correspondence between the increasing clonal expansion and the clinical worsening of metastatic breast cancer in a 44-year-old female with disease recurrence after 4 years and half of disease control. At 38 years she presented a poorly differentiated ductal carcinoma of the right breast, pT1cN1mi(1/3) G3, estrogen receptor (ER) positive 90%, progesterone receptor (PgR) positive 40%, HER2 negative, KI67 40%. She underwent quadrantectomy and subsequent chemotherapy with Epirubicin Ciclofosfamide (EC) for four cycles and Decapeptyl every 28 days. After 7 months, she added tamoxifen for 1 year, then replaced by Exemestrane for 2 years. Radiotherapy was also performed. Family history was positive for breast cancer in the paternal side although exome analysis failed to reveal germline mutation in known cancer driver genes. After 4 years and half from the diagnosis, liver and bone metastasis were detected. Biopsy of the VIII hepatic segment showed metastasis of breast carcinoma, ER negative, PgR negative, HER2 negative, Ki67 17%. Subsequently, therapy with Paclitaxel was undertaken weekly. Three months later from the previous evidence of metastasis, numerical and dimensional increase in liver lesions was demonstrated. Monotherapy with cisplatin was started and then in association with capecitabine and epirubicin (ECX scheme) with dose of 80% for seven consecutive cycles. Afterwards, she had treatment with Capecitabine and metronomic cyclophosphamide for 3 months, then three cycles of eribuline were performed. Therapy with carboplatin and gemcitabine was subsequently administered. One month later, since there was an increase of liver enzymes, monotherapy with carboplatin was undertaken. No other treatment options were available given the disease progression. After about 1 year from the evidence of bones and liver metastasis, we performed a first cfDNA analysis, which revealed pathogenic mutations in PIK3CA gene [c.1633G>A; p.(Glu545Lys)] and CDKN2A [c.1904T>G; p.(Leu635Arg)]. Five months later, a second cfDNA analysis highlighted an exponential increase of clones with the same pathogenic mutations (Fig. 1). In comparison with the mutational burden identified at primary tumor biopsy, the expanding clone has a simplified architecture (Fig. 1).
Fig. 1

Outline of clonal and subclonal architecture and clinical outcome. Upper panel: fish plot of clonal evolution and timing. At the primary tumor biopsy, 10 different distinctive clones with different mutational load (ranging from 0.3 to 25%) were identified: IDH1 (green), CTNNB1 (pink), FBXW7 (yellow), APC (red), EGFR (beige), PIK3CA (blue), PTEN (brown), SMAD4 (grey), CDKN2A (blu), GNAS (light green). Among these, the clone-bearing PIK3CA/CDKN2A mutations (blue) increases from 25% at the time of primary tumor biopsy to around 50% at 180 days’ post-recurrence. Bottom panel: liver enzymes (AST = blue line; ALT = green line; values in U/L on the right) and bilirubin (red line; values in mg/dL on the left) whose values increase according to disease progression. CT chemotherapy; HT hormone therapy

Outline of clonal and subclonal architecture and clinical outcome. Upper panel: fish plot of clonal evolution and timing. At the primary tumor biopsy, 10 different distinctive clones with different mutational load (ranging from 0.3 to 25%) were identified: IDH1 (green), CTNNB1 (pink), FBXW7 (yellow), APC (red), EGFR (beige), PIK3CA (blue), PTEN (brown), SMAD4 (grey), CDKN2A (blu), GNAS (light green). Among these, the clone-bearing PIK3CA/CDKN2A mutations (blue) increases from 25% at the time of primary tumor biopsy to around 50% at 180 days’ post-recurrence. Bottom panel: liver enzymes (AST = blue line; ALT = green line; values in U/L on the right) and bilirubin (red line; values in mg/dL on the left) whose values increase according to disease progression. CT chemotherapy; HT hormone therapy We demonstrated here that multiple points cfDNA analysis give now the possibility to understand the overall cancer dynamics and pick up the key mutation leading to cancer recurrence, separating them from not expanding occasional clones. Large comprehensive analysis of haematological malignancies indicates a complex temporal dynamic landing although in few (from one to six) driver mutations at late relapse [8]. Likewise, in breast cancer one (or few) is the driver mutation leading to cancer recurrence and it is of pivotal importance to target this driver mutation(s) on time. However, stick too tightly to standardised protocol may impair the use of personalised experimental drugs in a timely therapeutic window. Data reported here indicate that there is a tight therapeutic window useful for counteract final clonal expansion and that the minimally invasive cfDNA analysis allows a close and dynamic monitoring of clonal evolution. This is also supported by the mathematical model developed by Khan et al. [9]. In our case, an innovative and more effective therapy could be CDK4/6 inhibitors in combination with PI3 K-specific inhibitor initiated at the beginning of the clonal expansion [10]. Introducing of experimental drug in the correct therapeutic window would lead in the near future to effective treatment which otherwise remain challenging.

Conclusions

In conclusion, we demonstrated that multiple points cfDNA analysis reflects clonal evolution and allows track the evolving molecular landscapes of growing cancer cells by capturing broader molecular alterations that could hinder targeted treatments efficacy. The shorter turnaround time of cfDNA analysis and its high sensitivity and specificity are key factors to provide novel opportunities for adaptive personalised therapies, optimizing healthcare resources and enabling higher treatment efficacy and lower side-effects.
  10 in total

1.  Clonal evolution of myelofibrosis treated with hematopoietic transplantation, using RUXOLITINIB for chronic GvHD: A case report.

Authors:  L Fouillet; E Daguenet; F Schein; E Tavernier; P Flandrin-Gresta; J Cornillon
Journal:  Curr Res Transl Med       Date:  2018-08-07       Impact factor: 4.513

2.  Mutational dynamics of early and late relapsed childhood ALL: rapid clonal expansion and long-term dormancy.

Authors:  Jean-François Spinella; Chantal Richer; Pauline Cassart; Manon Ouimet; Jasmine Healy; Daniel Sinnett
Journal:  Blood Adv       Date:  2018-02-13

3.  Subclones dominate at MDS progression following allogeneic hematopoietic cell transplant.

Authors:  Meagan A Jacoby; Eric J Duncavage; Gue Su Chang; Christopher A Miller; Jin Shao; Kevin Elliott; Joshua Robinson; Robert S Fulton; Catrina C Fronick; Michelle O'Laughlin; Sharon E Heath; Iskra Pusic; John S Welch; Daniel C Link; John F DiPersio; Peter Westervelt; Timothy J Ley; Timothy A Graubert; Matthew J Walter
Journal:  JCI Insight       Date:  2018-03-08

4.  Low-level TP53 mutational load antecedes clonal expansion in chronic lymphocytic leukaemia.

Authors:  Anna Maria Pinto; Filomena T Papa; Elisa Frullanti; Ilaria Meloni; Rossella Tita; Rossella Caselli; Chiara Fallerini; Diego Lopergolo; Francesco Cetta; Maria Antonietta Mencarelli; Monica Bocchia; Alessandro Gozzetti; Alessandra Renieri
Journal:  Br J Haematol       Date:  2018-02-20       Impact factor: 6.998

5.  Detection of TP53/PIK3CA Mutations in Cell-Free Plasma DNA From Metastatic Breast Cancer Patients Using Next Generation Sequencing.

Authors:  Chiaki Nakauchi; Naofumi Kagara; Kenzo Shimazu; Atsushi Shimomura; Yasuto Naoi; Masafumi Shimoda; Seung Jin Kim; Shinzaburo Noguchi
Journal:  Clin Breast Cancer       Date:  2016-05-14       Impact factor: 3.225

Review 6.  A combination of the PI3K pathway inhibitor plus cell cycle pathway inhibitor to combat endocrine resistance in hormone receptor-positive breast cancer: a genomic algorithm-based treatment approach.

Authors:  Anita Gul; Brain Leyland-Jones; Nandini Dey; Pradip De
Journal:  Am J Cancer Res       Date:  2018-12-01       Impact factor: 6.166

7.  Clonal evolution and heterogeneity in metastatic head and neck cancer-An analysis of the Austrian Study Group of Medical Tumour Therapy study group.

Authors:  Thomas Melchardt; Teresa Magnes; Clemens Hufnagl; Aaron R Thorner; Matthew Ducar; Daniel Neureiter; Wolfgang Tränkenschuh; Eckhard Klieser; Alexander Gaggl; Sebastian Rösch; Gerd Rasp; Tanja N Hartmann; Lisa Pleyer; Gabriel Rinnerthaler; Lukas Weiss; Richard Greil; Alexander Egle
Journal:  Eur J Cancer       Date:  2018-03-20       Impact factor: 9.162

8.  Longitudinal Liquid Biopsy and Mathematical Modeling of Clonal Evolution Forecast Time to Treatment Failure in the PROSPECT-C Phase II Colorectal Cancer Clinical Trial.

Authors:  Khurum H Khan; David Cunningham; Benjamin Werner; Georgios Vlachogiannis; Inmaculada Spiteri; Timon Heide; Javier Fernandez Mateos; Alexandra Vatsiou; Andrea Lampis; Mahnaz Darvish Damavandi; Hazel Lote; Ian Said Huntingford; Somaieh Hedayat; Ian Chau; Nina Tunariu; Giulia Mentrasti; Francesco Trevisani; Sheela Rao; Gayathri Anandappa; David Watkins; Naureen Starling; Janet Thomas; Clare Peckitt; Nasir Khan; Massimo Rugge; Ruwaida Begum; Blanka Hezelova; Annette Bryant; Thomas Jones; Paula Proszek; Matteo Fassan; Jens C Hahne; Michael Hubank; Chiara Braconi; Andrea Sottoriva; Nicola Valeri
Journal:  Cancer Discov       Date:  2018-08-30       Impact factor: 39.397

Review 9.  Liquid biopsy prediction of axillary lymph node metastasis, cancer recurrence, and patient survival in breast cancer: A meta-analysis.

Authors:  Ju-Han Lee; Hoiseon Jeong; Jung-Woo Choi; Hwa Eun Oh; Young-Sik Kim
Journal:  Medicine (Baltimore)       Date:  2018-10       Impact factor: 1.817

10.  Clinical Utilization Pattern of Liquid Biopsies (LB) to Detect Actionable Driver Mutations, Guide Treatment Decisions and Monitor Disease Burden During Treatment of 33 Metastatic Colorectal Cancer (mCRC) Patients (pts) at a Fox Chase Cancer Center GI Oncology Subspecialty Clinic.

Authors:  Pooja Ghatalia; Chad H Smith; Arthur Winer; Jiangtao Gou; Lesli A Kiedrowski; Michael Slifker; Patricia D Saltzberg; Nicole Bubes; Fern M Anari; Vineela Kasireddy; Asya Varshavsky; Yang Liu; Eric A Ross; Wafik S El-Deiry
Journal:  Front Oncol       Date:  2019-01-17       Impact factor: 6.244

  10 in total
  1 in total

1.  Circulating Cell-Free DNA Reflects the Clonal Evolution of Breast Cancer Tumors.

Authors:  Jouni Kujala; Jaana M Hartikainen; Maria Tengström; Reijo Sironen; Päivi Auvinen; Veli-Matti Kosma; Arto Mannermaa
Journal:  Cancers (Basel)       Date:  2022-03-04       Impact factor: 6.639

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.