Literature DB >> 33388091

Defining muscle-invasive bladder cancer immunotypes by introducing tumor mutation burden, CD8+ T cells, and molecular subtypes.

Zihao Chen1, Guojun Liu2,3, Guoqing Liu4, Mikhail A Bolkov5,6, Khyber Shinwari5, Irina A Tuzankina5,6, Valery A Chereshnev5,6, Zhifeng Wang7.   

Abstract

Immunotherapy, especially anti-PD-1, is becoming a pillar of modern muscle-invasive bladder cancer (MIBC) treatment. However, the objective response rates (ORR) are relatively low due to the lack of precise biomarkers to select patients. Herein, the molecular subtype, tumor mutation burden (TMB), and CD8+ T cells were calculated by the gene expression and mutation profiles of MIBC patients. MIBC immunotypes were constructed using clustering analysis based on tumor mutation burden, CD8+ T cells, and molecular subtypes. Mutated genes, enriched functional KEGG pathways and GO terms, and co-expressed network-specific hub genes have been identified. We demonstrated that ORR of immunotype A patients identified by molecular subtype, CD8+ T cells, and TMB is about 36% predictable. PIK3CA, RB1, FGFR3, KMT2C, MACF1, RYR2, and EP300 are differentially mutated among three immunotypes. Pathways such as ECM-receptor interaction, PI3K-Akt signaling pathway, and TGF-beta signaling pathway are top-ranked in enrichment analysis. Low expression of ACTA2 was associated with the MIBC survival benefit. The current study constructs a model that could identify suitable MIBC patients for immunotherapy, and it is an important step forward to the personalized treatment of bladder cancers.

Entities:  

Keywords:  CD8+ T cells; Immunotherapy; Immunotype; MIBC; Molecular subtype; TMB

Year:  2021        PMID: 33388091     DOI: 10.1186/s41065-020-00165-7

Source DB:  PubMed          Journal:  Hereditas        ISSN: 0018-0661            Impact factor:   3.271


  46 in total

1.  Biomarkers for Immunotherapy: Current Developments and Challenges.

Authors:  Kristen R Spencer; Jianfeng Wang; Ann W Silk; Shridar Ganesan; Howard L Kaufman; Janice M Mehnert
Journal:  Am Soc Clin Oncol Educ Book       Date:  2016

Review 2.  Invasive Bladder Cancer: Genomic Insights and Therapeutic Promise.

Authors:  Jaegil Kim; Rehan Akbani; Chad J Creighton; Seth P Lerner; John N Weinstein; Gad Getz; David J Kwiatkowski
Journal:  Clin Cancer Res       Date:  2015-10-15       Impact factor: 12.531

Review 3.  Second-line single-agent versus doublet chemotherapy as salvage therapy for metastatic urothelial cancer: a systematic review and meta-analysis.

Authors:  D Raggi; R Miceli; G Sonpavde; P Giannatempo; L Mariani; M D Galsky; J Bellmunt; A Necchi
Journal:  Ann Oncol       Date:  2015-10-20       Impact factor: 32.976

4.  Nivolumab in metastatic urothelial carcinoma after platinum therapy (CheckMate 275): a multicentre, single-arm, phase 2 trial.

Authors:  Padmanee Sharma; Margitta Retz; Arlene Siefker-Radtke; Ari Baron; Andrea Necchi; Jens Bedke; Elizabeth R Plimack; Daniel Vaena; Marc-Oliver Grimm; Sergio Bracarda; José Ángel Arranz; Sumanta Pal; Chikara Ohyama; Abdel Saci; Xiaotao Qu; Alexandre Lambert; Suba Krishnan; Alex Azrilevich; Matthew D Galsky
Journal:  Lancet Oncol       Date:  2017-01-26       Impact factor: 41.316

Review 5.  The evolving landscape of biomarkers for checkpoint inhibitor immunotherapy.

Authors:  Jonathan J Havel; Diego Chowell; Timothy A Chan
Journal:  Nat Rev Cancer       Date:  2019-03       Impact factor: 60.716

6.  Impact of Molecular Subtypes in Muscle-invasive Bladder Cancer on Predicting Response and Survival after Neoadjuvant Chemotherapy.

Authors:  Roland Seiler; Hussam Al Deen Ashab; Nicholas Erho; Bas W G van Rhijn; Brian Winters; James Douglas; Kim E Van Kessel; Elisabeth E Fransen van de Putte; Matthew Sommerlad; Natalie Q Wang; Voleak Choeurng; Ewan A Gibb; Beatrix Palmer-Aronsten; Lucia L Lam; Christine Buerki; Elai Davicioni; Gottfrid Sjödahl; Jordan Kardos; Katherine A Hoadley; Seth P Lerner; David J McConkey; Woonyoung Choi; William Y Kim; Bernhard Kiss; George N Thalmann; Tilman Todenhöfer; Simon J Crabb; Scott North; Ellen C Zwarthoff; Joost L Boormans; Jonathan Wright; Marc Dall'Era; Michiel S van der Heijden; Peter C Black
Journal:  Eur Urol       Date:  2017-04-05       Impact factor: 20.096

7.  Immune and Stromal Classification of Colorectal Cancer Is Associated with Molecular Subtypes and Relevant for Precision Immunotherapy.

Authors:  Etienne Becht; Aurélien de Reyniès; Nicolas A Giraldo; Camilla Pilati; Bénédicte Buttard; Laetitia Lacroix; Janick Selves; Catherine Sautès-Fridman; Pierre Laurent-Puig; Wolf Herman Fridman
Journal:  Clin Cancer Res       Date:  2016-03-18       Impact factor: 12.531

8.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

Review 9.  Neoantigens in cancer immunotherapy.

Authors:  Ton N Schumacher; Robert D Schreiber
Journal:  Science       Date:  2015-04-03       Impact factor: 47.728

10.  The role of PD-L1 expression as a predictive biomarker: an analysis of all US Food and Drug Administration (FDA) approvals of immune checkpoint inhibitors.

Authors:  Andrew A Davis; Vaibhav G Patel
Journal:  J Immunother Cancer       Date:  2019-10-26       Impact factor: 13.751

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  4 in total

1.  Prediction of Prognosis and Recurrence of Bladder Cancer by ECM-Related Genes.

Authors:  Hongfan Zhao; Zihao Chen; Yunze Fang; Mingqiang Su; Yipeng Xu; Zhifeng Wang; Michael Adu Gyamfi; Junfeng Zhao
Journal:  J Immunol Res       Date:  2022-04-12       Impact factor: 4.493

2.  Identification of Cancer-Associated Fibroblast Subtype of Triple-Negative Breast Cancer.

Authors:  Maoli Wang; Ruifa Feng; Zihao Chen; Wenjie Shi; Cheng Li; Huiquan Liu; Kejin Wu; Dajin Li; Xiqing Li
Journal:  J Oncol       Date:  2022-04-23       Impact factor: 4.501

3.  ISPRF: a machine learning model to predict the immune subtype of kidney cancer samples by four genes.

Authors:  Zhifeng Wang; Zihao Chen; Hongfan Zhao; Hao Lin; Junjie Wang; Ning Wang; Xiqing Li; Degang Ding
Journal:  Transl Androl Urol       Date:  2021-10

4.  A Machine Learning Model to Predict the Triple Negative Breast Cancer Immune Subtype.

Authors:  Zihao Chen; Maoli Wang; Rudy Leon De Wilde; Ruifa Feng; Mingqiang Su; Luz Angela Torres-de la Roche; Wenjie Shi
Journal:  Front Immunol       Date:  2021-09-17       Impact factor: 7.561

  4 in total

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