Literature DB >> 25887620

The E2F4 prognostic signature is also predictive of the pathological response of breast cancer to chemotherapy.

François Bertucci1,2,3, Pascal Finetti1, Daniel Birnbaum1.   

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Year:  2015        PMID: 25887620      PMCID: PMC4391546          DOI: 10.1186/s13058-015-0559-2

Source DB:  PubMed          Journal:  Breast Cancer Res        ISSN: 1465-5411            Impact factor:   6.466


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We read with interest the article by Khaleel and colleagues reporting a new prognostic signature in hormone receptor (HR)-positive breast cancer based on mRNA expression of target genes of the E2F4 transcription factor [1]. The clinical relevance comes from its independent prognostic value and its biological significance (mainly regulation of cell cycle and proliferation, reflecting high E2F4 activity). When compared with patients with low score for the signature (low risk), patients with high score (high risk) showed shorter relapse-free survival, making them candidates for adjuvant chemotherapy. Whereas adjuvant chemotherapy is recommended for most human epidermal growth factor receptor 2 (HER2)-positive or triple-negative tumors, indications are more challenging for HR+/HER2tumors, which are candidates for either adjuvant hormone therapy alone or both hormone therapy and chemotherapy. We wondered whether high-risk HR+/HER2tumors were more chemosensitive than low-risk HR+/HER2tumors. We gathered gene expression data for 1,247 breast cancers treated with neoadjuvant anthracycline-based chemotherapy and with available pathological response (Additional file 1), pathological complete response (pCR) being defined as no residual invasive cancer in the breast and axillary lymph nodes. All cases were assigned a relapse risk according to the metagene based on average expression of 199 E2F4 target genes in each standardized dataset. We analyzed the predictive value of the E2F4 metagene for the pathological response to chemotherapy in the 582 HR+/HER2tumors (12% pCR rate). High-risk tumors were associated (Additional file 2) with ductal type, grade 3, and higher pCR rate, which was 17% versus 8% in the low-risk tumors (P <0.001). As expected, grade 3 was also associated with higher pCR rate (Table 1). In multivariate analysis, the E2F4 metagene remained predictive for pCR (P = 0.027), whereas grade did not. Interestingly, mRNA expression of E2F4 itself did not predict for the response to chemotherapy, demonstrating the interest of the metagene as a better indicator of E2F4 function than E2F4 expression level alone.
Table 1

Univariate and multivariate analyses for pathological complete response

Univariate analysis Multivariate analysis
n Odds ratio (95% CI) P value n Odds ratio (95% CI) P value
Age, >50 years versus ≤50 years5820.79 (0.51 to 1.21)0.37
Histological type
 ILC versus IDC2402.60 (0.71 to 8.12)0.19
 Other versus IDC1.09 (0.49 to 2.26)0.85
Clinical tumor size, cT2 to cT4 versus cT15800.88 (0.44 to 2.01)0.79
Clinical axillary lymph node status, cN1 to cN3 versus cN05711.37 (0.86 to 2.23)0.27
Grade
 2 versus 15291.32 (0.43 to 5.98)0.725291.22 (0.40 to 5.52)0.80
 3 versus 15.56 (1.93 to 24.4) 2.09E-02 4.37 (1.48 to 19.4)0.05
E2F4 metagene-based classification, high risk versus low risk5822.40 (1.57 to 3.72) 7.98E-04 5291.86 (1.14 to 3.08) 4.02E-02

CI, confidence interval; IDC, invasive ductal cancer; ILC, invasive lobular cancer. Bold data indicate significance.

Univariate and multivariate analyses for pathological complete response CI, confidence interval; IDC, invasive ductal cancer; ILC, invasive lobular cancer. Bold data indicate significance. HR+/HER2tumors with an E2F4 high-risk signature were more sensitive to anthracycline-based chemotherapy than low-risk tumors, as already reported with other prognostic signatures [2,3] – including in the adjuvant setting [4,5], where high-risk tumors showed greater benefit from chemotherapy than low-risk tumors. The next step will be to test, retrospectively in randomized prospective trials of adjuvant chemotherapy, the hypothesis that the difference in relapse between patients treated with chemotherapy and untreated patients is larger in the high-risk group than in the low-risk group. Interest in the E2F4 signature is probably higher than expected.
  5 in total

1.  Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer.

Authors:  Soonmyung Paik; Gong Tang; Steven Shak; Chungyeul Kim; Joffre Baker; Wanseop Kim; Maureen Cronin; Frederick L Baehner; Drew Watson; John Bryant; Joseph P Costantino; Charles E Geyer; D Lawrence Wickerham; Norman Wolmark
Journal:  J Clin Oncol       Date:  2006-05-23       Impact factor: 44.544

2.  The predictive value of the 70-gene signature for adjuvant chemotherapy in early breast cancer.

Authors:  Michael Knauer; Stella Mook; Emiel J T Rutgers; Richard A Bender; Michael Hauptmann; Marc J van de Vijver; Rutger H T Koornstra; Jolien M Bueno-de-Mesquita; Sabine C Linn; Laura J van 't Veer
Journal:  Breast Cancer Res Treat       Date:  2010-03-05       Impact factor: 4.872

3.  EndoPredict predicts for the response to neoadjuvant chemotherapy in ER-positive, HER2-negative breast cancer.

Authors:  François Bertucci; Pascal Finetti; Patrice Viens; Daniel Birnbaum
Journal:  Cancer Lett       Date:  2014-09-10       Impact factor: 8.679

4.  Genomic grade index is associated with response to chemotherapy in patients with breast cancer.

Authors:  Cornelia Liedtke; Christos Hatzis; William Fraser Symmans; Christine Desmedt; Benjamin Haibe-Kains; Vicente Valero; Henry Kuerer; Gabriel N Hortobagyi; Martine Piccart-Gebhart; Christos Sotiriou; Lajos Pusztai
Journal:  J Clin Oncol       Date:  2009-04-13       Impact factor: 44.544

5.  E2F4 regulatory program predicts patient survival prognosis in breast cancer.

Authors:  Sari S Khaleel; Erik H Andrews; Matthew Ung; James DiRenzo; Chao Cheng
Journal:  Breast Cancer Res       Date:  2014-12-02       Impact factor: 6.466

  5 in total
  2 in total

1.  Integrative Genomic Analyses Yield Cell-Cycle Regulatory Programs with Prognostic Value.

Authors:  Chao Cheng; Shaoke Lou; Erik H Andrews; Matthew H Ung; Frederick S Varn
Journal:  Mol Cancer Res       Date:  2016-02-08       Impact factor: 5.852

2.  The E2F4 prognostic signature predicts pathological response to neoadjuvant chemotherapy in breast cancer patients.

Authors:  Kenneth M K Mark; Frederick S Varn; Matthew H Ung; Feng Qian; Chao Cheng
Journal:  BMC Cancer       Date:  2017-05-02       Impact factor: 4.430

  2 in total

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