Literature DB >> 33777740

Prognosis and Genomic Landscape of Liver Metastasis in Patients With Breast Cancer.

Chonglin Tian1,2, Sujing Liu3, Yongsheng Wang2, Xianrang Song2.   

Abstract

OBJECTIVE: The prognosis of breast cancer liver metastasis (BCLM) is poor, and its molecular mechanism is unclear. We aimed to determine the factors that affect the prognosis of patients with BCLM and investigate the genomic landscape of liver metastasis (LM).
METHODS: We described the prognosis of patients with BCLM and focused on prognosis prediction for these patients based on clinicopathological factors. Nomogram models were constructed for progression-free survival (PFS) and overall survival (OS) by using a cohort of 231 patients with BCLM who underwent treatment at Shandong Cancer Hospital and Institute (SCHI). We explored the molecular mechanism of LM and constructed driver genes, mutation signatures by using a targeted sequencing dataset of 217 samples of LM and 479 unpaired samples of primary breast cancer (pBC) from Memorial Sloan Kettering Cancer Center (MSKCC).
RESULTS: The median follow-up time for 231 patients with BCLM in the SCHI cohort was 46 months. The cumulative incidence of LM at 1, 2, and 5 years was 17.5%, 45.0%, and 86.8%, respectively. The median PFS and OS were 7 months (95% CI, 6-8) and 22 months (95% CI, 19-25), respectively. The independent factors that increased the progression risk of patients with LM were Karnofsky performance status (KPS) ≤ 80, TNBC subtype, grade III, increasing trend of CA153, and disease-free interval (DFS) ≤ 1 year. Simultaneously, the independent factors that increased the mortality risk of patients with LM were Ki-67 ≥ 30%, grade III, increasing trend of CA153, pain with initial LM, diabetes, and DFI ≤ 1 year. In the MSKCC dataset, the LM driver genes were ESR1, AKT1, ERBB2, and FGFR4, and LM matched three prominent mutation signatures: APOBEC cytidine deaminase, ultraviolet exposure, and defective DNA mismatch repair.
CONCLUSION: This study systematically describes the survival prognosis and characteristics of LM from the clinicopathological factors to the genetic level. These results not only enable clinicians to assess the risk of disease progression in patients with BCLM to optimize treatment options, but also help us better understand the underlying mechanisms of tumor metastasis and evolution and provide new therapeutic targets with potential benefits for drug-resistant patients.
Copyright © 2021 Tian, Liu, Wang and Song.

Entities:  

Keywords:  breast cancer; genomic landscape; liver metastasis; nomogram model; prognosis

Year:  2021        PMID: 33777740      PMCID: PMC7991092          DOI: 10.3389/fonc.2021.588136

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   6.244


  40 in total

1.  Expression of chemokine receptors predicts the site of metastatic relapse in patients with axillary node positive primary breast cancer.

Authors:  F Andre; N Cabioglu; H Assi; J C Sabourin; S Delaloge; A Sahin; K Broglio; J P Spano; C Combadiere; C Bucana; J C Soria; M Cristofanilli
Journal:  Ann Oncol       Date:  2006-04-20       Impact factor: 32.976

2.  Genomic characterization of metastatic breast cancers.

Authors:  François Bertucci; Charlotte K Y Ng; Anne Patsouris; Thomas Filleron; Christophe Le Tourneau; Fabrice André; Nathalie Droin; Salvatore Piscuoglio; Nadine Carbuccia; Jean Charles Soria; Alicia Tran Dien; Yahia Adnani; Maud Kamal; Séverine Garnier; Guillaume Meurice; Marta Jimenez; Semih Dogan; Benjamin Verret; Max Chaffanet; Thomas Bachelot; Mario Campone; Claudia Lefeuvre; Herve Bonnefoi; Florence Dalenc; Alexandra Jacquet; Maria R De Filippo; Naveen Babbar; Daniel Birnbaum
Journal:  Nature       Date:  2019-05-22       Impact factor: 49.962

3.  The significance of the site of recurrence to subsequent breast cancer survival.

Authors:  A Imkampe; S Bendall; T Bates
Journal:  Eur J Surg Oncol       Date:  2006-10-16       Impact factor: 4.424

4.  Genetic Heterogeneity in Therapy-Naïve Synchronous Primary Breast Cancers and Their Metastases.

Authors:  Charlotte K Y Ng; Francois-Clement Bidard; Salvatore Piscuoglio; Felipe C Geyer; Raymond S Lim; Ino de Bruijn; Ronglai Shen; Fresia Pareja; Samuel H Berman; Lu Wang; Jean-Yves Pierga; Anne Vincent-Salomon; Agnes Viale; Larry Norton; Brigitte Sigal; Britta Weigelt; Paul Cottu; Jorge S Reis-Filho
Journal:  Clin Cancer Res       Date:  2017-03-28       Impact factor: 12.531

Review 5.  Liver metastases from breast cancer: management of patients with significant liver dysfunction.

Authors:  Max S Mano; Jim Cassidy; Peter Canney
Journal:  Cancer Treat Rev       Date:  2004-11-18       Impact factor: 12.111

6.  Intratumor heterogeneity and branched evolution revealed by multiregion sequencing.

Authors:  Marco Gerlinger; Andrew J Rowan; Stuart Horswell; James Larkin; David Endesfelder; Eva Gronroos; Pierre Martinez; Nicholas Matthews; Aengus Stewart; Charles Swanton; M Math; Patrick Tarpey; Ignacio Varela; Benjamin Phillimore; Sharmin Begum; Neil Q McDonald; Adam Butler; David Jones; Keiran Raine; Calli Latimer; Claudio R Santos; Mahrokh Nohadani; Aron C Eklund; Bradley Spencer-Dene; Graham Clark; Lisa Pickering; Gordon Stamp; Martin Gore; Zoltan Szallasi; Julian Downward; P Andrew Futreal
Journal:  N Engl J Med       Date:  2012-03-08       Impact factor: 91.245

7.  The DNA cytosine deaminase APOBEC3B promotes tamoxifen resistance in ER-positive breast cancer.

Authors:  Emily K Law; Anieta M Sieuwerts; Kelly LaPara; Brandon Leonard; Gabriel J Starrett; Amy M Molan; Nuri A Temiz; Rachel Isaksson Vogel; Marion E Meijer-van Gelder; Fred C G J Sweep; Paul N Span; John A Foekens; John W M Martens; Douglas Yee; Reuben S Harris
Journal:  Sci Adv       Date:  2016-10-07       Impact factor: 14.136

8.  Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients.

Authors:  Ahmet Zehir; Ryma Benayed; Ronak H Shah; Aijazuddin Syed; Sumit Middha; Hyunjae R Kim; Preethi Srinivasan; Jianjiong Gao; Debyani Chakravarty; Sean M Devlin; Matthew D Hellmann; David A Barron; Alison M Schram; Meera Hameed; Snjezana Dogan; Dara S Ross; Jaclyn F Hechtman; Deborah F DeLair; JinJuan Yao; Diana L Mandelker; Donavan T Cheng; Raghu Chandramohan; Abhinita S Mohanty; Ryan N Ptashkin; Gowtham Jayakumaran; Meera Prasad; Mustafa H Syed; Anoop Balakrishnan Rema; Zhen Y Liu; Khedoudja Nafa; Laetitia Borsu; Justyna Sadowska; Jacklyn Casanova; Ruben Bacares; Iwona J Kiecka; Anna Razumova; Julie B Son; Lisa Stewart; Tessara Baldi; Kerry A Mullaney; Hikmat Al-Ahmadie; Efsevia Vakiani; Adam A Abeshouse; Alexander V Penson; Philip Jonsson; Niedzica Camacho; Matthew T Chang; Helen H Won; Benjamin E Gross; Ritika Kundra; Zachary J Heins; Hsiao-Wei Chen; Sarah Phillips; Hongxin Zhang; Jiaojiao Wang; Angelica Ochoa; Jonathan Wills; Michael Eubank; Stacy B Thomas; Stuart M Gardos; Dalicia N Reales; Jesse Galle; Robert Durany; Roy Cambria; Wassim Abida; Andrea Cercek; Darren R Feldman; Mrinal M Gounder; A Ari Hakimi; James J Harding; Gopa Iyer; Yelena Y Janjigian; Emmet J Jordan; Ciara M Kelly; Maeve A Lowery; Luc G T Morris; Antonio M Omuro; Nitya Raj; Pedram Razavi; Alexander N Shoushtari; Neerav Shukla; Tara E Soumerai; Anna M Varghese; Rona Yaeger; Jonathan Coleman; Bernard Bochner; Gregory J Riely; Leonard B Saltz; Howard I Scher; Paul J Sabbatini; Mark E Robson; David S Klimstra; Barry S Taylor; Jose Baselga; Nikolaus Schultz; David M Hyman; Maria E Arcila; David B Solit; Marc Ladanyi; Michael F Berger
Journal:  Nat Med       Date:  2017-05-08       Impact factor: 53.440

9.  Mutational processes molding the genomes of 21 breast cancers.

Authors:  Serena Nik-Zainal; Ludmil B Alexandrov; David C Wedge; Peter Van Loo; Christopher D Greenman; Keiran Raine; David Jones; Jonathan Hinton; John Marshall; Lucy A Stebbings; Andrew Menzies; Sancha Martin; Kenric Leung; Lina Chen; Catherine Leroy; Manasa Ramakrishna; Richard Rance; King Wai Lau; Laura J Mudie; Ignacio Varela; David J McBride; Graham R Bignell; Susanna L Cooke; Adam Shlien; John Gamble; Ian Whitmore; Mark Maddison; Patrick S Tarpey; Helen R Davies; Elli Papaemmanuil; Philip J Stephens; Stuart McLaren; Adam P Butler; Jon W Teague; Göran Jönsson; Judy E Garber; Daniel Silver; Penelope Miron; Aquila Fatima; Sandrine Boyault; Anita Langerød; Andrew Tutt; John W M Martens; Samuel A J R Aparicio; Åke Borg; Anne Vincent Salomon; Gilles Thomas; Anne-Lise Børresen-Dale; Andrea L Richardson; Michael S Neuberger; P Andrew Futreal; Peter J Campbell; Michael R Stratton
Journal:  Cell       Date:  2012-05-17       Impact factor: 41.582

10.  Maftools: efficient and comprehensive analysis of somatic variants in cancer.

Authors:  Anand Mayakonda; De-Chen Lin; Yassen Assenov; Christoph Plass; H Phillip Koeffler
Journal:  Genome Res       Date:  2018-10-19       Impact factor: 9.043

View more
  2 in total

Review 1.  Breast Cancer Genomics: Primary and Most Common Metastases.

Authors:  Caroline Bennett; Caleb Carroll; Cooper Wright; Barbara Awad; Jeong Mi Park; Meagan Farmer; Elizabeth Bryce Brown; Alexis Heatherly; Stefanie Woodard
Journal:  Cancers (Basel)       Date:  2022-06-21       Impact factor: 6.575

2.  Growth Pattern of Hepatic Metastasis as a Prognostic Index Reflecting Liver Metastasis-Associated Survival in Breast Cancer Liver Metastasis.

Authors:  Jieun Lee; Moonhyung Choi; Seungyeon Joe; Kabsoo Shin; Sung-Hak Lee; Ahwon Lee
Journal:  J Clin Med       Date:  2022-05-18       Impact factor: 4.964

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.