Literature DB >> 33795786

Transcriptomic signals in blood prior to lung cancer focusing on time to diagnosis and metastasis.

Therese H Nøst1, Marit Holden2, Tom Dønnem3,4, Hege Bøvelstad5, Charlotta Rylander6, Eiliv Lund6,7, Torkjel M Sandanger6.   

Abstract

Recent studies have indicated that there are functional genomic signals that can be detected in blood years before cancer diagnosis. This study aimed to assess gene expression in prospective blood samples from the Norwegian Women and Cancer cohort focusing on time to lung cancer diagnosis and metastatic cancer using a nested case-control design. We employed several approaches to statistically analyze the data and the methods indicated that the case-control differences were subtle but most distinguishable in metastatic case-control pairs in the period 0-3 years prior to diagnosis. The genes of interest along with estimated blood cell populations could indicate disruption of immunological processes in blood. The genes identified from approaches focusing on alterations with time to diagnosis were distinct from those focusing on the case-control differences. Our results support that explorative analyses of prospective blood samples could indicate circulating signals of disease-related processes.

Entities:  

Year:  2021        PMID: 33795786      PMCID: PMC8017014          DOI: 10.1038/s41598-021-86879-8

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  45 in total

1.  Interactions between the tumor and the blood systemic response of breast cancer patients.

Authors:  Vanessa Dumeaux; Bjørn Fjukstad; Hans E Fjosne; Jan-Ole Frantzen; Marit Muri Holmen; Enno Rodegerdts; Ellen Schlichting; Anne-Lise Børresen-Dale; Lars Ailo Bongo; Eiliv Lund; Michael Hallett
Journal:  PLoS Comput Biol       Date:  2017-09-28       Impact factor: 4.475

2.  What are the clinical features of lung cancer before the diagnosis is made? A population based case-control study.

Authors:  W Hamilton; T J Peters; A Round; D Sharp
Journal:  Thorax       Date:  2005-10-14       Impact factor: 9.139

3.  Gene expression profiles in peripheral blood mononuclear cells can distinguish patients with non-small cell lung cancer from patients with nonmalignant lung disease.

Authors:  Michael K Showe; Anil Vachani; Andrew V Kossenkov; Malik Yousef; Calen Nichols; Elena V Nikonova; Celia Chang; John Kucharczuk; Bao Tran; Elliot Wakeam; Ting An Yie; David Speicher; William N Rom; Steven Albelda; Louise C Showe
Journal:  Cancer Res       Date:  2009-12-15       Impact factor: 12.701

4.  A Large-Cohort, Longitudinal Study Determines Precancer Disease Routes across Different Cancer Types.

Authors:  Jessica X Hu; Marie Helleberg; Anders B Jensen; Søren Brunak; Jens Lundgren
Journal:  Cancer Res       Date:  2018-12-27       Impact factor: 12.701

5.  Macrophages, Inflammation, and Lung Cancer.

Authors:  Emma M Conway; Larissa A Pikor; Sonia H Y Kung; Melisa J Hamilton; Stephen Lam; Wan L Lam; Kevin L Bennewith
Journal:  Am J Respir Crit Care Med       Date:  2016-01-15       Impact factor: 21.405

Review 6.  Hallmarks of cancer: the next generation.

Authors:  Douglas Hanahan; Robert A Weinberg
Journal:  Cell       Date:  2011-03-04       Impact factor: 41.582

7.  Robust enumeration of cell subsets from tissue expression profiles.

Authors:  Aaron M Newman; Chih Long Liu; Michael R Green; Andrew J Gentles; Weiguo Feng; Yue Xu; Chuong D Hoang; Maximilian Diehn; Ash A Alizadeh
Journal:  Nat Methods       Date:  2015-03-30       Impact factor: 28.547

8.  The systemic immune-inflammation index is associated with an increased risk of incident cancer-A population-based cohort study.

Authors:  Jesse Fest; Rikje Ruiter; Marlies Mulder; Bas Groot Koerkamp; M Arfan Ikram; Bruno H Stricker; Casper H J van Eijck
Journal:  Int J Cancer       Date:  2019-04-16       Impact factor: 7.396

9.  International trends in lung cancer incidence by histological subtype: adenocarcinoma stabilizing in men but still increasing in women.

Authors:  J Lortet-Tieulent; I Soerjomataram; J Ferlay; M Rutherford; E Weiderpass; F Bray
Journal:  Lung Cancer       Date:  2014-01-25       Impact factor: 5.705

10.  A new statistical method for curve group analysis of longitudinal gene expression data illustrated for breast cancer in the NOWAC postgenome cohort as a proof of principle.

Authors:  Eiliv Lund; Lars Holden; Hege Bøvelstad; Sandra Plancade; Nicolle Mode; Clara-Cecilie Günther; Gregory Nuel; Jean-Christophe Thalabard; Marit Holden
Journal:  BMC Med Res Methodol       Date:  2016-03-05       Impact factor: 4.615

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  1 in total

1.  The blood transcriptome prior to ovarian cancer diagnosis: A case-control study in the NOWAC postgenome cohort.

Authors:  Mie Jareid; Igor Snapkov; Marit Holden; Lill-Tove Rasmussen Busund; Eiliv Lund; Therese Haugdahl Nøst
Journal:  PLoS One       Date:  2021-08-27       Impact factor: 3.240

  1 in total

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