Literature DB >> 27231467

Lung and breast cancer research: immunoglobulin Kappa C hits the headlines.

Rosemarie Marchan1.   

Abstract

Entities:  

Year:  2012        PMID: 27231467      PMCID: PMC4874323     

Source DB:  PubMed          Journal:  EXCLI J        ISSN: 1611-2156            Impact factor:   4.068


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Recently, Schmidt and colleagues reported that immunoglobulin Kappa C (IGKC) predicts a favourable response to chemotherapy and better metastasis-free survival in breast cancer patients (Schmidt et al., 2012[14]). The authors validated the prognostic and predictive role of IGKC in 1,810 breast cancer, 1,056 non-small cell lung cancer and 513 colorectal cancer patient samples. The identification of IGKC as a single and robust marker of the immune response represents a major progress in the field of clinical tumour immunology and biomarkers. During the past decades, the search for prognostic and predictive markers of human tumours represented a major research focus (Perou et al., 2000[10]; Desmedt et al., 2007[3]; Cadenas et al., 2010[2]; Hellwig et al., 2010[5]; Kammers et al., 2011[7]; Hardelauf et al., 2011[4]; Lee et al., 2010[8]; Mariani et al., 2010[9]). The prognostic relevance of proliferation-associated genes (Schmidt et al., 2009[15][17], 2011[16]) and - in breast cancer - gene signatures associated with steroid hormone receptors and ERBB2 has been consistently demonstrated (Desmedt et al., 2007[3]; Brase et al., 2010[1]; Petry et al., 2010[11]). In contrast, the role of the immune system remained controversial. On the one hand, experimental and animal studies suggest that the humoral immune system may stimulate tumour growth, possibly by cytokine secretion (Tan and Coussens, 2008[18]; Inoue et al., 2006[6]; review: Schmidt et al., 2009[15]). However, several reports speculated that antibodies secreted after B-cell expansion may also control tumour growth by aiding destruction of tumour cells (review: Schmidt et al., 2010[13]; 2011[16]). Only as recently as 2008, was it finally made clear that a B-cell/plasma cell metagene, indicating infiltration of tumours with plasma cells, is associated with better prognosis in breast cancer (Schmidt et al., 2008[12]). This effect is stronger in fast proliferating carcinomas. In this study, a metagene consisting of 60 individual genes was used to evaluate plasma cell infiltration. In the clinic however, routine determination of a 60-gene signature would be too laborious. Therefore, the major breakthrough of the large validation study is that the 60-gene B-cell/plasma cell metagene can be replaced by a single robust marker without loss of prognostic/predictive power: IGKC (Schmidt et al., 2012[14]). The key messages of the study are: IGKC is associated with good prognosis in breast, lung and colon cancers IGKC indicates tumour-infiltrating plasma cells Besides its prognostic relevance in patients who did not receive systemic chemotherapy, IGKC also predicts favourable responses to anthracycline-based chemotherapy in breast cancer IGKC can be detected immunohistochemically in paraffin slides using commercially available antibodies. Alternatively, it can be measured by qRT-PCR using RNA isolated from fresh frozen tumour tissue or from paraffin material. Immunostaining results and RNA expression levels correlate, and the high expression of IGKC obtained using both techniques is similarly associated with better prognosis. Currently, there are no alternative markers available for the humoral immune system; therefore, IGKC is likely to play a central role as a prognostic and predictive factor of solid carcinomas.
  18 in total

1.  Micro-Raman detection of nuclear membrane lipid fluctuations in senescent epithelial breast cancer cells.

Authors:  Melissa M Mariani; Lindsey J Maccoux; Christian Matthäus; Max Diem; Jan G Hengstler; Volker Deckert
Journal:  Anal Chem       Date:  2010-05-15       Impact factor: 6.986

2.  Microarrays for the scalable production of metabolically relevant tumour spheroids: a tool for modulating chemosensitivity traits.

Authors:  Heike Hardelauf; Jean-Philippe Frimat; Joanna D Stewart; Wiebke Schormann; Ya-Yu Chiang; Peter Lampen; Joachim Franzke; Jan G Hengstler; Cristina Cadenas; Leoni A Kunz-Schughart; Jonathan West
Journal:  Lab Chip       Date:  2010-11-16       Impact factor: 6.799

3.  Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the TRANSBIG multicenter independent validation series.

Authors:  Christine Desmedt; Fanny Piette; Sherene Loi; Yixin Wang; Françoise Lallemand; Benjamin Haibe-Kains; Giuseppe Viale; Mauro Delorenzi; Yi Zhang; Mahasti Saghatchian d'Assignies; Jonas Bergh; Rosette Lidereau; Paul Ellis; Adrian L Harris; Jan G M Klijn; John A Foekens; Fatima Cardoso; Martine J Piccart; Marc Buyse; Christos Sotiriou
Journal:  Clin Cancer Res       Date:  2007-06-01       Impact factor: 12.531

Review 4.  Humoral immunity, inflammation and cancer.

Authors:  Ting-Ting Tan; Lisa M Coussens
Journal:  Curr Opin Immunol       Date:  2007-02-02       Impact factor: 7.486

5.  Ep-CAM RNA expression predicts metastasis-free survival in three cohorts of untreated node-negative breast cancer.

Authors:  Marcus Schmidt; Ilka Brigitte Petry; Daniel Böhm; Antje Lebrecht; Christian von Törne; Susanne Gebhard; Aslihan Gerhold-Ay; Cristina Cotarelo; Marco Battista; Wiebke Schormann; Evgenia Freis; Silvia Selinski; Katja Ickstadt; Jörg Rahnenführer; Martin Sebastian; Martin Schuler; Heinz Koelbl; Mathias Gehrmann; Jan G Hengstler
Journal:  Breast Cancer Res Treat       Date:  2010-03-30       Impact factor: 4.872

6.  Molecular portraits of human breast tumours.

Authors:  C M Perou; T Sørlie; M B Eisen; M van de Rijn; S S Jeffrey; C A Rees; J R Pollack; D T Ross; H Johnsen; L A Akslen; O Fluge; A Pergamenschikov; C Williams; S X Zhu; P E Lønning; A L Børresen-Dale; P O Brown; D Botstein
Journal:  Nature       Date:  2000-08-17       Impact factor: 49.962

7.  Long-term outcome prediction by clinicopathological risk classification algorithms in node-negative breast cancer--comparison between Adjuvant!, St Gallen, and a novel risk algorithm used in the prospective randomized Node-Negative-Breast Cancer-3 (NNBC-3) trial.

Authors:  M Schmidt; A Victor; D Bratzel; D Boehm; C Cotarelo; A Lebrecht; W Siggelkow; J G Hengstler; A Elsässer; M Gehrmann; H-A Lehr; H Koelbl; G von Minckwitz; N Harbeck; C Thomssen
Journal:  Ann Oncol       Date:  2008-09-29       Impact factor: 32.976

8.  Role of thioredoxin reductase 1 and thioredoxin interacting protein in prognosis of breast cancer.

Authors:  Cristina Cadenas; Dennis Franckenstein; Marcus Schmidt; Mathias Gehrmann; Matthias Hermes; Bettina Geppert; Wiebke Schormann; Lindsey J Maccoux; Markus Schug; Anika Schumann; Christian Wilhelm; Evgenia Freis; Katja Ickstadt; Jörg Rahnenführer; Jörg I Baumbach; Albert Sickmann; Jan G Hengstler
Journal:  Breast Cancer Res       Date:  2010-06-28       Impact factor: 6.466

9.  The humoral immune system has a key prognostic impact in node-negative breast cancer.

Authors:  Marcus Schmidt; Daniel Böhm; Christian von Törne; Eric Steiner; Alexander Puhl; Henryk Pilch; Hans-Anton Lehr; Jan G Hengstler; Heinz Kölbl; Mathias Gehrmann
Journal:  Cancer Res       Date:  2008-07-01       Impact factor: 12.701

10.  ERBB2 induces an antiapoptotic expression pattern of Bcl-2 family members in node-negative breast cancer.

Authors:  Ilka Brigitte Petry; Esther Fieber; Marcus Schmidt; Mathias Gehrmann; Susanne Gebhard; Matthias Hermes; Wiebke Schormann; Silvia Selinski; Evgenia Freis; Holger Schwender; Marc Brulport; Katja Ickstadt; Jörg Rahnenführer; Lindsey Maccoux; Jonathan West; Heinz Kölbl; Martin Schuler; Jan Georg Hengstler
Journal:  Clin Cancer Res       Date:  2010-01-12       Impact factor: 12.531

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  2 in total

1.  Six novel immunoglobulin genes as biomarkers for better prognosis in triple-negative breast cancer by gene co-expression network analysis.

Authors:  Huan-Ming Hsu; Chi-Ming Chu; Yu-Jia Chang; Jyh-Cherng Yu; Chien-Ting Chen; Chen-En Jian; Chia-Yi Lee; Yueh-Tao Chiang; Chi-Wen Chang; Yu-Tien Chang
Journal:  Sci Rep       Date:  2019-03-14       Impact factor: 4.379

2.  Highlight report: Import of fatty acids by metastasizing tumor cells.

Authors:  Tim Brecklinghaus
Journal:  EXCLI J       Date:  2018-11-19       Impact factor: 4.068

  2 in total

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