Literature DB >> 21206496

Targeting IGF-1R: throwing out the baby with the bathwater?

B Basu, D Olmos, J S de Bono.   

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Year:  2011        PMID: 21206496      PMCID: PMC3039814          DOI: 10.1038/sj.bjc.6606023

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


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There are intense commercial pressures in industry to develop drugs for large unselected populations, although this remains a risky and expensive strategy. Several examples now exist where targeted treatments are utilised in molecularly defined cancer patient populations. The EGFR tyrosine kinase inhibitor (TKI) gefitinib is a case in point, failing to show a clear benefit in non-small-cell lung cancer (NSCLC) patients when given with first-line chemotherapy. Gefitinib has nevertheless re-emerged as an important therapeutic following the confirmation that mutations in the TK domain of EGFR confer sensitivity to it (Mok ), with evidence that this population is enriched within Asian, female and never-smoker patients with adenocarcinoma (Lynch ; Paez ). More recently, two large-phase III trials, investigating the addition of the fully human monoclonal antibody (mAb) to the insulin-like growth factor 1 receptor (IGF-1R) figitumumab (CP-751,871, Pfizer) to carboplatin/paclitaxel (ADVIGO 1016) and to the EGFR TKI erlotinib (ADVIGO 1018), in advanced NSCLC patients have been suspended after planned interim analyses indicated futility (Jassem ). These data raise several important questions: Was there sufficient evidence to support these phase III trials? Could we have learnt more from early-phase data to identify the patients who are most likely to benefit? Is IGF-1R a key target in NSCLC? How should we design our trials to identify predictive biomarkers that decrease the risk of such late and costly failures? Gualberto and colleagues now publish valuable data in this edition of The British Journal of Cancer (Gualberto et al, 2010b) evaluating putative predictive circulating biomarkers of sensitivity to figitumumab. Their study highlights the complexities of predictive biomarker clinical qualification. They conclude that, independent of tumour characteristics, pre-treatment free IGF-1 (fIGF-1) concentration is a predictive biomarker of clinical benefit from figitumumab at 20 mg kg−1 but not at 10 mg kg−1 in NSCLC. Their results are consistent with observations that low IGF-1 levels are associated with prolonged survival in NSCLC (Han ). Nevertheless, their finding that higher baseline fIGF-1 is present in females and patients with adenocarcinoma is at odds with reported data indicating that patients with squamous cell carcinoma derive more benefit from figitumumab and calls into question whether this is simply a prognostic biomarker (Karp ). Importantly, however, in this manuscript under discussion, pre-treatment fIGF-1 was not predictive of PFS in patients receiving chemotherapy alone, suggesting that this may not be simply a prognostic biomarker. Recent reports profiling molecular determinants of sensitivity to figitumumab also identified increased IGF-1R expression within squamous cell tumours, which were more likely to respond, but could not definitively establish whether this was a prognostic or predictive factor (Gualberto ). Overall, analysis of these data is complicated by the small sample size and the biological heterogeneity of patients on trial, which are common issues in such clinical research. Their use of one-sided tests limits the statistical power and calls into question whether this study is adequately powered. Moreover, the addition of chemotherapy renders the determination of biomarkers that are truly figitumumab-specific more complex. Other factors that cannot be underestimated are measures of the analytical validity of the assay. Overall, evaluation of the reproducibility and variability of the assay by using two baseline readings should be recommended for such studies. Indeed, concerns remain that current assay methodologies to measure IGF-1 bioactivity are controversial and imperfect (Frystyk, 2007). Despite these criticisms, these attempts to detect circulating predictive biomarkers are to be commended. We are convinced that circulating predictive biomarkers are critically important in cancer research; these are repeatable, less invasive and more easily implemented in large randomized trials. Nonetheless, the relationship between circulating biomarkers and tumour characteristics must be analysed to evaluate whether these reflect tumour biology. Moreover, pre-treatment biomarkers provide a ‘snapshot’ suggesting which patients may benefit from treatment, but repeated analyses are required to establish a picture of adaptive changes through acquired resistance mechanisms. Indeed, earlier phase I trials evaluating figitumumab reported that treatment was associated with increased circulating IGF-1 levels and decreased soluble IGF-1R from baseline (Lacy ; Molife ). This supports repeated analyses of such biomarkers, which is best done through circulating biomarkers. Importantly, the feedback increase in IGF-1 post treatment with figitumumab may explain why the higher dose of 20 mg kg−1 is more active than the 10 mg kg−1 dose. Figitumumab phase I trial data suggested that bioactive IGF-1 levels may influence treatment sensitivity following the observation of responses in patients treated with figitumumab at doses above 10 mg kg−1 who had a high baseline free fIGF-1 to IGF-binding protein-3 (IGF-BP3) ratio (Karp ). In a phase II, randomised NSCLC trial of first-line paclitaxel/carboplatin (PC) alone or in combination with figitumumab (PCF), the combination resulted in an impressive overall response rate (ORR) of 54% (Karp ). Intriguingly, there was an apparent dose response to figitumumab in both ORR and 12-week PFS in patients with adenocarcinoma and squamous cell carcinoma histology, with the greatest benefit seen with the higher antibody dose of 20 mg kg−1 (78% ORR and 89% 12-week PFS). Moreover, anti-tumour activity was observed in two patients with squamous histology receiving figitumumab monotherapy after PC discontinuation for progression. Despite this, no patient stratification or population enrichment based on histological subtype, IGF-1R tumour expression or circulating fIGF1 levels was pursued in Phase III trials (Jassem ). Several questions remain; deregulation of the IGF signalling axis in NSCLC is supported by findings that increased IGF-1 and low levels of its binding protein IGF-BP3 are associated with an increased risk of lung cancer (Yu ; Han ). Furthermore, IGF-1R is frequently over-expressed in NSCLC, mediating signalling that results in tumour growth and drug resistance (Morgillo ). However, IGF-1-overexpressing transgenic mice with functionally upregulated IGF-1R are predisposed towards increased formation of adenomata but not malignant tumours, whereas preclinical work indicates that IGF-II may instead be the critically important autocrine/paracrine ligand in NSCLC by also signalling via the insulin receptor (IR) (Quinn ; Ulanet ). It remains to be seen whether treatments targeting both IGF-1R and IR, or both IGF-1 and IGF-II, in NSCLC will yield different results (Olmos ). Nonetheless, we have observed impressive anti-tumour activity of figitumumab in metastatic Ewing's sarcoma as a single agent, with some patients experiencing durable responses up to 3 years, suggesting that targeting IGF-1R alone deserves further evaluation (Olmos ). Finally, several different strategies can be pursued to gain most information from early-phase studies. These include phase I trial expansions, phase II Bayesian adaptive designs where all-comers are initially treated, but patients are then enriched for ‘responding phenotypes’ as in the Biomarker-Integrated Approaches of Targeted Therapy for Lung Cancer Elimination (BATTLE) clinical trial programme, and randomised phase II trials with either a priori selection of patients with or without the presence of the biomarker or, as in this case, a retrospective analysis of putative biomarkers against outcome from treatment. Overall, however, we urgently need to develop smarter trial designs that can accelerate the clinical qualification of putative predictive biomarkers in concert with targeted drug trials to expedite the successful delivery of less costly drug approval and patient benefit. Although the initial and NSCLC trials of figitumumab have been negative, the evaluation of drugs targeting the IGF pathway should continue. We should not throw out the baby with the bathwater.
  17 in total

1.  The prognostic significance of pretreatment plasma levels of insulin-like growth factor (IGF)-1, IGF-2, and IGF binding protein-3 in patients with advanced non-small cell lung cancer.

Authors:  Ji-Youn Han; Byung Gil Choi; Ji Young Choi; Sung Young Lee; So Young Ju
Journal:  Lung Cancer       Date:  2006-08-28       Impact factor: 5.705

2.  Insulin-like growth factor expression in human cancer cell lines.

Authors:  K A Quinn; A M Treston; E J Unsworth; M J Miller; M Vos; C Grimley; J Battey; J L Mulshine; F Cuttitta
Journal:  J Biol Chem       Date:  1996-05-10       Impact factor: 5.157

3.  Implication of the insulin-like growth factor-IR pathway in the resistance of non-small cell lung cancer cells to treatment with gefitinib.

Authors:  Floriana Morgillo; Woo-Young Kim; Edward S Kim; Fortunato Ciardiello; Waun Ki Hong; Ho-Young Lee
Journal:  Clin Cancer Res       Date:  2007-05-01       Impact factor: 12.531

4.  EGFR mutations in lung cancer: correlation with clinical response to gefitinib therapy.

Authors:  J Guillermo Paez; Pasi A Jänne; Jeffrey C Lee; Sean Tracy; Heidi Greulich; Stacey Gabriel; Paula Herman; Frederic J Kaye; Neal Lindeman; Titus J Boggon; Katsuhiko Naoki; Hidefumi Sasaki; Yoshitaka Fujii; Michael J Eck; William R Sellers; Bruce E Johnson; Matthew Meyerson
Journal:  Science       Date:  2004-04-29       Impact factor: 47.728

5.  Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib.

Authors:  Thomas J Lynch; Daphne W Bell; Raffaella Sordella; Sarada Gurubhagavatula; Ross A Okimoto; Brian W Brannigan; Patricia L Harris; Sara M Haserlat; Jeffrey G Supko; Frank G Haluska; David N Louis; David C Christiani; Jeff Settleman; Daniel A Haber
Journal:  N Engl J Med       Date:  2004-04-29       Impact factor: 91.245

6.  Phase II study of the anti-insulin-like growth factor type 1 receptor antibody CP-751,871 in combination with paclitaxel and carboplatin in previously untreated, locally advanced, or metastatic non-small-cell lung cancer.

Authors:  Daniel D Karp; Luis G Paz-Ares; Silvia Novello; Paul Haluska; Linda Garland; Felipe Cardenal; L Johnetta Blakely; Peter D Eisenberg; Corey J Langer; George Blumenschein; Faye M Johnson; Stephanie Green; Antonio Gualberto
Journal:  J Clin Oncol       Date:  2009-04-20       Impact factor: 44.544

7.  Phase I, pharmacokinetic and pharmacodynamic study of the anti-insulinlike growth factor type 1 Receptor monoclonal antibody CP-751,871 in patients with multiple myeloma.

Authors:  Martha Q Lacy; Melissa Alsina; Rafael Fonseca; M Luisa Paccagnella; Carrie L Melvin; Donghua Yin; Amarnath Sharma; M Enriquez Sarano; Michael Pollak; Sundar Jagannath; Paul Richardson; Antonio Gualberto
Journal:  J Clin Oncol       Date:  2008-05-12       Impact factor: 44.544

8.  Plasma levels of insulin-like growth factor-I and lung cancer risk: a case-control analysis.

Authors:  H Yu; M R Spitz; J Mistry; J Gu; W K Hong; X Wu
Journal:  J Natl Cancer Inst       Date:  1999-01-20       Impact factor: 13.506

9.  Pre-treatment levels of circulating free IGF-1 identify NSCLC patients who derive clinical benefit from figitumumab.

Authors:  A Gualberto; M L Hixon; D D Karp; D Li; S Green; M Dolled-Filhart; L G Paz-Ares; S Novello; J Blakely; C J Langer; M N Pollak
Journal:  Br J Cancer       Date:  2010-11-23       Impact factor: 7.640

Review 10.  Utility of free IGF-I measurements.

Authors:  Jan Frystyk
Journal:  Pituitary       Date:  2007       Impact factor: 3.599

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1.  Single nucleotide polymorphisms in the IGF-IRS pathway are associated with outcome in mCRC patients enrolled in the FIRE-3 trial.

Authors:  Marta Schirripa; Wu Zhang; Volker Heinemann; Shu Cao; Satoshi Okazaki; Dongyun Yang; Fotios Loupakis; Martin D Berger; Yan Ning; Yuji Miyamoto; Mitsukuni Suenaga; Roel F Gopez; Jordan D West; Diana Hanna; Afsaneh Barzi; Alfredo Falcone; Sebastian Stintzing; Heinz-Josef Lenz
Journal:  Int J Cancer       Date:  2017-05-10       Impact factor: 7.396

2.  Efficacy of anti-insulin-like growth factor I receptor monoclonal antibody cixutumumab in mesothelioma is highly correlated with insulin growth factor-I receptor sites/cell.

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Journal:  Int J Cancer       Date:  2012-04-24       Impact factor: 7.396

3.  Relevance of insulin-like growth factor 1 receptor gene expression as a prognostic factor in non-small-cell lung cancer.

Authors:  M Teresa Agulló-Ortuño; C Vanesa Díaz-García; Alba Agudo-López; Carlos Pérez; Ana Cortijo; Luis Paz-Ares; Fernando López-Ríos; Francisco Pozo; Javier de Castro; Hernán Cortés-Funes; José A López Martín
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Review 4.  Prospects and pitfalls of personalizing therapies for sarcomas: from children, adolescents, and young adults to the elderly.

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Review 5.  Theranostic applications of antibodies in oncology.

Authors:  Emmy D G Fleuren; Yvonne M H Versleijen-Jonkers; Sandra Heskamp; Carla M L van Herpen; Wim J G Oyen; Winette T A van der Graaf; Otto C Boerman
Journal:  Mol Oncol       Date:  2014-03-21       Impact factor: 6.603

Review 6.  Combine and conquer: challenges for targeted therapy combinations in early phase trials.

Authors:  Juanita S Lopez; Udai Banerji
Journal:  Nat Rev Clin Oncol       Date:  2016-07-05       Impact factor: 66.675

7.  Prognostic value of blood mRNA expression signatures in castration-resistant prostate cancer: a prospective, two-stage study.

Authors:  David Olmos; Daniel Brewer; Jeremy Clark; Daniel C Danila; Chris Parker; Gerhardt Attard; Martin Fleisher; Alison Hm Reid; Elena Castro; Shahneen K Sandhu; Lorraine Barwell; Nikhil Babu Oommen; Suzanne Carreira; Charles G Drake; Robert Jones; Colin S Cooper; Howard I Scher; Johann S de Bono
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8.  Targeting non-small cell lung cancer cells by dual inhibition of the insulin receptor and the insulin-like growth factor-1 receptor.

Authors:  Emma E Vincent; Douglas J E Elder; Jon Curwen; Elaine Kilgour; Ingeborg Hers; Jeremy M Tavaré
Journal:  PLoS One       Date:  2013-06-24       Impact factor: 3.240

9.  Targeting the Insulin-Like Growth Factor 1 Receptor in Ewing's Sarcoma: Reality and Expectations.

Authors:  David Olmos; Ana Sofia Martins; Robin L Jones; Salma Alam; Michelle Scurr; Ian R Judson
Journal:  Sarcoma       Date:  2011-05-03

10.  Phase I study of humanized monoclonal antibody AVE1642 directed against the type 1 insulin-like growth factor receptor (IGF-1R), administered in combination with anticancer therapies to patients with advanced solid tumors.

Authors:  V M Macaulay; M R Middleton; A S Protheroe; A Tolcher; V Dieras; C Sessa; R Bahleda; J-Y Blay; P LoRusso; D Mery-Mignard; J-C Soria
Journal:  Ann Oncol       Date:  2012-10-26       Impact factor: 32.976

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