TP53 mutations and protein immunopositivity may predict for poor outcome but also for trastuzumab benefit in patients with early breast cancer treated in the adjuvant setting

George Fountzilas, Eleni Giannoulatou, Zoi Alexopoulou, Flora Zagouri, Eleni Timotheadou, Kyriaki Papadopoulou, Sotiris Lakis, Mattheos Bobos, Christos Poulios, Maria Sotiropoulou, Aggeliki Lyberopoulou, Helen Gogas, George Pentheroudakis, Dimitrios Pectasides, Angelos Koutras, Christos Christodoulou, Christos Papandreou, Epaminontas Samantas, Pavlos Papakostas, Paris Kosmidis, Dimitrios Bafaloukos, Charisios Karanikiotis, Meletios-Athanassios Dimopoulos, Vassiliki Kotoula, George Fountzilas, Eleni Giannoulatou, Zoi Alexopoulou, Flora Zagouri, Eleni Timotheadou, Kyriaki Papadopoulou, Sotiris Lakis, Mattheos Bobos, Christos Poulios, Maria Sotiropoulou, Aggeliki Lyberopoulou, Helen Gogas, George Pentheroudakis, Dimitrios Pectasides, Angelos Koutras, Christos Christodoulou, Christos Papandreou, Epaminontas Samantas, Pavlos Papakostas, Paris Kosmidis, Dimitrios Bafaloukos, Charisios Karanikiotis, Meletios-Athanassios Dimopoulos, Vassiliki Kotoula

Abstract

Background: We investigated the impact of PIK3CA and TP53 mutations and p53 protein status on the outcome of patients who had been treated with adjuvant anthracycline-taxane chemotherapy within clinical trials in the pre- and post-trastuzumab era.

Results: TP53 and PIK3CA mutations were found in 380 (21.5%) and 458 (25.9%) cases, respectively, including 104 (5.9%) co-mutated tumors; p53 immunopositivity was observed in 848 tumors (53.5%). TP53 mutations (p < 0.001) and p53 protein positivity (p = 0.001) were more frequent in HER2-positive and triple negative (TNBC) tumors, while PIK3CA mutations were more frequent in Luminal A/B tumors (p < 0.001). TP53 mutation status and p53 protein expression but not PIK3CA mutation status interacted with trastuzumab treatment for disease-free survival; patients with tumors bearing TP53 mutations or immunopositive for p53 protein fared better when treated with trastuzumab, while among patients treated with trastuzumab those with the above characteristics fared best (interaction p = 0.017 for mutations; p = 0.015 for IHC). Upon multivariate analysis the above interactions remained significant in HER2-positive patients; in the entire cohort, TP53 mutations were unfavorable in patients with Luminal A/B (p = 0.003) and TNBC (p = 0.025); p53 immunopositivity was strongly favorable in patients treated with trastuzumab (p = 0.009).

Materials and methods: TP53 and PIK3CA mutation status was examined in 1766 paraffin tumor DNA samples with informative semiconductor sequencing results. Among these, 1585 cases were also informative for p53 protein status assessed by immunohistochemistry (IHC; 10% positivity cut-off).

Conclusions: TP53 mutations confer unfavorable prognosis in patients with Luminal A/B and TNBC tumors, while p53 immunopositivity may predict for trastuzumab benefit in the adjuvant setting.

Keywords: PIK3CA mutations; TP53 mutations; early breast cancer; p53 immunohistochemistry; trastuzumab.

Conflict of interest statement

None.

Figures

Figure 1. Distribution of TP53 and PIK3CA…
Figure 1. Distribution of TP53 and PIK3CA mutations in early breast cancer
(A) TP53 mutations were dispersed throughout the coding region but aggregated in the area coding for the DNA binding domain of the protein. (B) PIK3CA mutations were more common in the kinase domain. In the pies in A and B, the distribution of mutation types per gene is shown. fs: frameshift; indels: insertions/deletions.
Figure 2. TP53 and PIK3CA mutation characteristics…
Figure 2. TP53 and PIK3CA mutation characteristics according to tumor subtypes
Mutations are described for presence / absence and domain specificity as indicated. TP53 mutations are compared for mutation types (missense, frameshift indels, nonsense). Y-axes have been truncated at 50%. Numbers per category are shown. Grey parts in bars: complementary to the colored category. All mutations and their characteristics were related to ER/PgR status. Helical, kinase: mutations in the corresponding domains of PIK3CA; fs-indels: frameshift insertions / deletions; TAD, oligo: TP53 transactivation and oligomerization domains.
Figure 3. TP53 and PIK3CA mutation effects…
Figure 3. TP53 and PIK3CA mutation effects on early breast cancer patient DFS according to main disease subtypes and trastuzumab treatment
The presence of TP53 mutations was unfavorable in Luminal A/B (A) and TNBC (B), indifferent in HER2-positive patients who were treated with anthracyclines only in the pre-trastuzumab era (C), but favorable in trastuzumab treated HER2-positive patients (D). (E) and (F): PIK3CA mutations in HER2-positive, non-trastuzumab and trastuzumab treated patients were similar to those described for TP53 mutations in (C) and (D), respectively.
Figure 4. TP53 mutations predictive for trastuzumab…
Figure 4. TP53 mutations predictive for trastuzumab benefit
Interactions between TP53 mutations and trastuzumab (A), and between p53 protein expression and trastuzumab (B) are shown. Trastuzumab (T) treated patients with TP53 mutations (A) or p53 positive protein expression by IHC (B) fared best; patients with the same TP53 tumor properties, who were not treated with trastuzumab, fared worst.
Figure 5. Forest plots for multivariable analyses…
Figure 5. Forest plots for multivariable analyses in the entire cohort
TP53 mutations and p53 protein expression were included in all models. p53 IHC positivity was unfavorable in HER2-positive patients not treated but favorable in those treated with trastuzumab.
Figure 6. REMARK chart
Figure 6. REMARK chart
All samples examined in this study have yielded informative NGS results. Immunohistochemistry (IHC) for p53 protein expression was applied on available tissues in the majority of the NGS informative samples.

References

    1. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA. 2015;65:87–108.
    1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2015. CA. 2015;65:5–29.
    1. Perou CM, Sorlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, Pollack JR, Ross DT, Johnsen H, Akslen LA, Fluge O, Pergamenschikov A, Williams C, et al. Molecular portraits of human breast tumours. Nature. 2000;406:747–752.
    1. Sorlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H, Hastie T, Eisen MB, van de Rijn M, Jeffrey SS, Thorsen T, Quist H, Matese JC, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Nat Acad Sci U S A. 2001;98:10869–10874.
    1. Sotiriou C, Neo SY, McShane LM, Korn EL, Long PM, Jazaeri A, Martiat P, Fox SB, Harris AL, Liu ET. Breast cancer classification and prognosis based on gene expression profiles from a population-based study. Proc Nat Acad Sci U S A. 2003;100:10393–10398.
    1. Eroles P, Bosch A, Perez-Fidalgo JA, Lluch A. Molecular biology in breast cancer: intrinsic subtypes and signaling pathways. Treat Rev. 2012;38:698–707.
    1. Gray J, Druker B. Genomics: the breast cancer landscape. Nature. 2012;486:328–329.
    1. Ding L, Raphael BJ, Chen F, Wendl MC. Advances for studying clonal evolution in cancer. Cancer letters. 2013;340:212–219.
    1. Hansen AR, Bedard PL. Clinical application of high-throughput genomic technologies for treatment selection in breast cancer. Breast Cancer Res. 2013;15:R97.
    1. Comprehensive molecular portraits of human breast tumours The Cancer Genome Atlas Network. Nature. 2012;490:61–70.
    1. Stephens PJ, Tarpey PS, Davies H, Van Loo P, Greenman C, Wedge DC, Nik-Zainal S, Martin S, Varela I, Bignell GR, Yates LR, Papaemmanuil E, Beare D, et al. The landscape of cancer genes and mutational processes in breast cancer. Nature. 2012;486:400–404.
    1. Varna M, Bousquet G, Plassa LF, Bertheau P, Janin A. TP53 status and response to treatment in breast cancers. J Biomed Biotechnol. 2011;2011:284584.
    1. Olivier M, Langerod A, Carrieri P, Bergh J, Klaar S, Eyfjord J, Theillet C, Rodriguez C, Lidereau R, Bieche I, Varley J, Bignon Y, Uhrhammer N, et al. The clinical value of somatic TP53 gene mutations in 1,794 patients with breast cancer. Clin Cancer Res. 2006;12:1157–1167.
    1. Berge EO, Huun J, Lillehaug JR, Lonning PE, Knappskog S. Functional characterisation of p53 mutants identified in breast cancers with suboptimal responses to anthracyclines or mitomycin. Biochim Biophys Acta. 2013;1830:2790–2797.
    1. Silwal-Pandit L, Vollan HK, Chin SF, Rueda OM, McKinney S, Osako T, Quigley DA, Kristensen VN, Aparicio S, Borresen-Dale AL, Caldas C, Langerod A. TP53 mutation spectrum in breast cancer is subtype specific and has distinct prognostic relevance. Clin Cancer Res. 2014;20:3569–3580.
    1. Joerger AC, Fersht AR. The tumor suppressor p53: from structures to drug discovery. Cold Spring Harbor perspectives in biology. 2010;2:a000919.
    1. Petitjean A, Mathe E, Kato S, Ishioka C, Tavtigian SV, Hainaut P, Olivier M. Impact of mutant p53 functional properties on TP53 mutation patterns and tumor phenotype: lessons from recent developments in the IARC TP53 database. Hum Mutat. 2007;28:622–629.
    1. Petitjean A, Achatz MI, Borresen-Dale AL, Hainaut P, Olivier M. TP53 mutations in human cancers: functional selection and impact on cancer prognosis and outcomes. Oncogene. 2007;26:2157–2165.
    1. Blagosklonny MV. p53 from complexity to simplicity: mutant p53 stabilization, gain-of-function, and dominant-negative effect. FASEB journal. 2000;14:1901–1907.
    1. Oren M, Maltzman W, Levine AJ. Post-translational regulation of the 54K cellular tumor antigen in normal and transformed cells. Mol Cell Bio. 1981;1:101–110.
    1. George B, Datar RH, Wu L, Cai J, Patten N, Beil SJ, Groshen S, Stein J, Skinner D, Jones PA, Cote RJ. p53 gene and protein status: the role of p53 alterations in predicting outcome in patients with bladder cancer. J Clin Oncol. 2007;25:5352–5358.
    1. Kandioler D, Zwrtek R, Ludwig C, Janschek E, Ploner M, Hofbauer F, Kuhrer I, Kappel S, Wrba F, Horvath M, Karner J, Renner K, Bergmann M, et al. TP53 genotype but not p53 immunohistochemical result predicts response to preoperative short-term radiotherapy in rectal cancer. Ann Surg. 2002;235:493–498.
    1. Allred DC, Clark GM, Elledge R, Fuqua SA, Brown RW, Chamness GC, Osborne CK, McGuire WL. Association of p53 protein expression with tumor cell proliferation rate and clinical outcome in node-negative breast cancer. J Nat Cancer Inst. 1993;85:200–206.
    1. Yamamoto M, Hosoda M, Nakano K, Jia S, Hatanaka KC, Takakuwa E, Hatanaka Y, Matsuno Y, Yamashita H. p53 accumulation is a strong predictor of recurrence in estrogen receptor-positive breast cancer patients treated with aromatase inhibitors. Cancer science. 2014;105:81–88.
    1. Lara JF, Thor AD, Dressler LG, Broadwater G, Bleiweiss IJ, Edgerton S, Cowan D, Goldstein LJ, Martino S, Ingle JN, Henderson IC, Norton L, Winer EP, et al. p53 Expression in node-positive breast cancer patients: results from the Cancer and Leukemia Group B 9344 Trial (159905) Clin Cancer Res. 2011;17:5170–5178.
    1. Lee JW, Soung YH, Kim SY, Lee HW, Park WS, Nam SW, Kim SH, Lee JY, Yoo NJ, Lee SH. PIK3CA gene is frequently mutated in breast carcinomas and hepatocellular carcinomas. Oncogene. 2005;24:1477–1480.
    1. Samuels Y, Wang Z, Bardelli A, Silliman N, Ptak J, Szabo S, Yan H, Gazdar A, Powell SM, Riggins GJ, Willson JK, Markowitz S, Kinzler KW, et al. High frequency of mutations of the PIK3CA gene in human cancers. Science. 2004;304:554.
    1. Cizkova M, Susini A, Vacher S, Cizeron-Clairac G, Andrieu C, Driouch K, Fourme E, Lidereau R, Bieche I. PIK3CA mutation impact on survival in breast cancer patients and in ERalpha, PR and ERBB2-based subgroups. Breast Cancer Res. 2012;14:R28.
    1. Kalinsky K, Jacks LM, Heguy A, Patil S, Drobnjak M, Bhanot UK, Hedvat CV, Traina TA, Solit D, Gerald W, Moynahan ME. PIK3CA mutation associates with improved outcome in breast cancer. Clin Cancer Res. 2009;15:5049–5059.
    1. Shah SP, Roth A, Goya R, Oloumi A, Ha G, Zhao Y, Turashvili G, Ding J, Tse K, Haffari G, Bashashati A, Prentice LM, Khattra J, et al. The clonal and mutational evolution spectrum of primary triple-negative breast cancers. Nature. 2012;486:395–399.
    1. Cheang MC, Martin M, Nielsen TO, Prat A, Voduc D, Rodriguez-Lescure A, Ruiz A, Chia S, Shepherd L, Ruiz-Borrego M, Calvo L, Alba E, Carrasco E, et al. Defining breast cancer intrinsic subtypes by quantitative receptor expression. Oncologist. 2015;20:474–482.
    1. Fountzilas G, Skarlos D, Dafni U, Gogas H, Briasoulis E, Pectasides D, Papadimitriou C, Markopoulos C, Polychronis A, Kalofonos HP, Siafaka V, Kosmidis P, Timotheadou E, et al. Postoperative dose-dense sequential chemotherapy with epirubicin, followed by CMF with or without paclitaxel, in patients with high-risk operable breast cancer: a randomized phase III study conducted by the Hellenic Cooperative Oncology Group. Ann Oncology. 2005;16:1762–1771.
    1. Gogas H, Dafni U, Karina M, Papadimitriou C, Batistatou A, Bobos M, Kalofonos HP, Eleftheraki AG, Timotheadou E, Bafaloukos D, Christodoulou C, Markopoulos C, Briasoulis E, et al. Postoperative dose-dense sequential versus concomitant administration of epirubicin and paclitaxel in patients with node-positive breast cancer: 5-year results of the Hellenic Cooperative Oncology Group HE 10/00 phase III Trial. Breast Cancer Res Treat. 2012;132:609–619.
    1. Fountzilas G, Dafni U, Papadimitriou C, Timotheadou E, Gogas H, Eleftheraki AG, Xanthakis I, Christodoulou C, Koutras A, Papandreou CN, Papakostas P, Miliaras S, Markopoulos C, et al. Dose-dense sequential adjuvant chemotherapy followed, as indicated, by trastuzumab for one year in patients with early breast cancer: first report at 5-year median follow-up of a Hellenic Cooperative Oncology Group randomized phase III trial. BMC cancer. 2014;14:515.
    1. Walerych D, Napoli M, Collavin L, Del Sal G. The rebel angel: mutant p53 as the driving oncogene in breast cancer. Carcinogenesis. 2012;33:2007–2017.
    1. Loi S, Michiels S, Lambrechts D, Fumagalli D, Claes B, Kellokumpu-Lehtinen PL, Bono P, Kataja V, Piccart MJ, Joensuu H, Sotiriou C. Somatic mutation profiling and associations with prognosis and trastuzumab benefit in early breast cancer. J Nat Cancer Inst. 2013;105:960–967.
    1. Zardavas D, Phillips WA, Loi S. PIK3CA mutations in breast cancer: reconciling findings from preclinical and clinical data. Breast Cancer Res. 2014;16:201.
    1. Neilsen PM, Noll JE, Suetani RJ, Schulz RB, Al-Ejeh F, Evdokiou A, Lane DP, Callen DF. Mutant p53 uses p63 as a molecular chaperone to alter gene expression and induce a pro-invasive secretome. Oncotarget. 2011;2:1203–1217. doi: 10.18632/oncotarget.382.
    1. Berns EM, van Staveren IL, Look MP, Smid M, Klijn JG, Foekens JA. Mutations in residues of TP53 that directly contact DNA predict poor outcome in human primary breast cancer. Br J Cancer. 1998;77:1130–1136.
    1. Sato K, Hara T, Ohya M. The code structure of the p53 DNA-binding domain and the prognosis of breast cancer patients. Bioinformatics. 2013;29:2822–2825.
    1. Hill KA, Sommer SS. p53 as a mutagen test in breast cancer. Environ Mol Mutagen. 2002;39:216–227.
    1. Olivier M, Hainaut P. TP53 mutation patterns in breast cancers: searching for clues of environmental carcinogenesis. Semin Cancer Biol. 2001;11:353–360.
    1. Curtis C, Shah SP, Chin SF, Turashvili G, Rueda OM, Dunning MJ, Speed D, Lynch AG, Samarajiwa S, Yuan Y, Graf S, Ha G, Haffari G, et al. The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature. 2012;486:346–352.
    1. Bastien RR, Rodriguez-Lescure A, Ebbert MT, Prat A, Munarriz B, Rowe L, Miller P, Ruiz-Borrego M, Anderson D, Lyons B, Alvarez I, Dowell T, Wall D, et al. PAM50 breast cancer subtyping by RT-qPCR and concordance with standard clinical molecular markers. BMC Med Genomics. 2012;5:44.
    1. Bertheau P, Turpin E, Rickman DS, Espie M, de Reynies A, Feugeas JP, Plassa LF, Soliman H, Varna M, de Roquancourt A, Lehmann-Che J, Beuzard Y, Marty M, et al. Exquisite sensitivity of TP53 mutant and basal breast cancers to a dose-dense epirubicin-cyclophosphamide regimen. PLoS medicine. 2007;4:e90.
    1. Varna M, Lehmann-Che J, Turpin E, Marangoni E, El-Bouchtaoui M, Jeanne M, Grigoriu C, Ratajczak P, Leboeuf C, Plassa LF, Ferreira I, Poupon MF, Janin A, et al. p53 dependent cell-cycle arrest triggered by chemotherapy in xenografted breast tumors. Int J Cancer. 2009;124:991–997.
    1. Aas T, Borresen AL, Geisler S, Smith-Sorensen B, Johnsen H, Varhaug JE, Akslen LA, Lonning PE. Specific P53 mutations are associated with de novo resistance to doxorubicin in breast cancer patients. Nat Med. 1996;2:811–814.
    1. Borresen AL, Andersen TI, Eyfjord JE, Cornelis RS, Thorlacius S, Borg A, Johansson U, Theillet C, Scherneck S, Hartman S, et al. TP53 mutations and breast cancer prognosis: particularly poor survival rates for cases with mutations in the zinc-binding domains. Genes, Chromosomes Cancer. 1995;14:71–75.
    1. Geisler S, Lonning PE, Aas T, Johnsen H, Fluge O, Haugen DF, Lillehaug JR, Akslen LA, Borresen-Dale AL. Influence of TP53 gene alterations and c-erbB-2 expression on the response to treatment with doxorubicin in locally advanced breast cancer. Cancer Resh. 2001;61:2505–2512.
    1. Bayraktar S, Royce M, Stork-Sloots L, de Snoo F, Gluck S. Molecular subtyping predicts pathologic tumor response in early-stage breast cancer treated with neoadjuvant docetaxel plus capecitabine with or without trastuzumab chemotherapy. Med Oncol. 2014;31:163.
    1. Gluck S, Ross JS, Royce M, McKenna EF, Jr, Perou CM, Avisar E, Wu L. TP53 genomics predict higher clinical and pathologic tumor response in operable early-stage breast cancer treated with docetaxel-capecitabine +/− trastuzumab. Breast Cancer Res Treat. 2012;132:781–791.
    1. Hoadley KAB, Barry William T, Pitcher Brandelyn. Mutational analysis of CALGB 40601 (Alliance), a neoadjuvant phase III trial of weekly paclitaxel (T) and trastuzumab (H) with or without lapatinib (L) for HER2- positive breast cancer. 2014:S3–06.
    1. Berns K, Horlings HM, Hennessy BT, Madiredjo M, Hijmans EM, Beelen K, Linn SC, Gonzalez-Angulo AM, Stemke-Hale K, Hauptmann M, Beijersbergen RL, Mills GB, van de Vijver MJ, et al. A functional genetic approach identifies the PI3K pathway as a major determinant of trastuzumab resistance in breast cancer. Cancer cell. 2007;12:395–402.
    1. Kataoka Y, Mukohara T, Shimada H, Saijo N, Hirai M, Minami H. Association between gain-of-function mutations in PIK3CA and resistance to HER2-targeted agents in HER2-amplified breast cancer cell lines. Ann Oncol. 2010;21:255–262.
    1. Moasser MM. Two dimensions in targeting HER2. J Clin Oncol. 2014;32:2074–2077.
    1. Joensuu H, Kellokumpu-Lehtinen PL, Bono P, Alanko T, Kataja V, Asola R, Utriainen T, Kokko R, Hemminki A, Tarkkanen M, Turpeenniemi-Hujanen T, Jyrkkio S, Flander M, et al. Adjuvant docetaxel or vinorelbine with or without trastuzumab for breast cancer. N Enlg J Med. 2006;354:809–820.
    1. Romond EH, Perez EA, Bryant J, Suman VJ, Geyer CE, Jr, Davidson NE, Tan-Chiu E, Martino S, Paik S, Kaufman PA, Swain SM, Pisansky TM, Fehrenbacher L, et al. Trastuzumab plus adjuvant chemotherapy for operable HER2-positive breast cancer. N Enlg J Med. 2005;353:1673–1684.
    1. Pogue-Geile KL, Song N, Jeong JH, Gavin PG, Kim SR, Blackmon NL, Finnigan M, Rastogi P, Fehrenbacher L, Mamounas EP, Swain SM, Wickerham DL, Geyer CE, et al. Intrinsic subtypes, PIK3CA mutation, and the degree of benefit from adjuvant trastuzumab in the NSABP B-31 trial. J Clin Oncol. 2015;33:1340–1347.
    1. Cizkova M, Dujaric ME, Lehmann-Che J, Scott V, Tembo O, Asselain B, Pierga JY, Marty M, de Cremoux P, Spyratos F, Bieche I. Outcome impact of PIK3CA mutations in HER2-positive breast cancer patients treated with trastuzumab. Br J Cancer. 2013;108:1807–1809.
    1. Gianni L, Dafni U, Gelber RD, Azambuja E, Muehlbauer S, Goldhirsch A, Untch M, Smith I, Baselga J, Jackisch C, Cameron D, Mano M, Pedrini JL, et al. Treatment with trastuzumab for 1 year after adjuvant chemotherapy in patients with HER2-positive early breast cancer: a 4-year follow-up of a randomised controlled trial. Lancet Oncology. 2011;12:236–244.
    1. Guarneri V, Dieci MV, Frassoldati A, Maiorana A, Ficarra G, Bettelli S, Tagliafico E, Bicciato S, Generali DG, Cagossi K, Bisagni G, Sarti S, Musolino A, et al. Prospective Biomarker Analysis of the Randomized CHER-LOB Study Evaluating the Dual Anti-HER2 Treatment With Trastuzumab and Lapatinib Plus Chemotherapy as Neoadjuvant Therapy for HER2-Positive Breast Cancer. Oncologist. 2015;20:1001–1010.
    1. Loibl S, von Minckwitz G, Schneeweiss A, Paepke S, Lehmann A, Rezai M, Zahm DM, Sinn P, Khandan F, Eidtmann H, Dohnal K, Heinrichs C, Huober J, et al. PIK3CA mutations are associated with lower rates of pathologic complete response to anti-human epidermal growth factor receptor 2 (her2) therapy in primary HER2-overexpressing breast cancer. J Clin Oncol. 2014;32:3212–3220.
    1. Majewski IJ, Nuciforo P, Mittempergher L, Bosma AJ, Eidtmann H, Holmes E, Sotiriou C, Fumagalli D, Jimenez J, Aura C, Prudkin L, Diaz-Delgado MC, de la Pena L, et al. PIK3CA mutations are associated with decreased benefit to neoadjuvant human epidermal growth factor receptor 2-targeted therapies in breast cancer. J Clin Oncol. 2015;33:1334–1339.
    1. Fountzilas G, Dafni U, Bobos M, Batistatou A, Kotoula V, Trihia H, Malamou-Mitsi V, Miliaras S, Chrisafi S, Papadopoulos S, Sotiropoulou M, Filippidis T, Gogas H, et al. Differential response of immunohistochemically defined breast cancer subtypes to anthracycline-based adjuvant chemotherapy with or without paclitaxel. PloS one. 2012;7:e37946.
    1. Badve S, Dabbs DJ, Schnitt SJ, Baehner FL, Decker T, Eusebi V, Fox SB, Ichihara S, Jacquemier J, Lakhani SR, Palacios J, Rakha EA, Richardson AL, et al. Basal-like and triple-negative breast cancers: a critical review with an emphasis on the implications for pathologists and oncologists. Mod Pathol. 2011;24:157–167.
    1. Kotoula V, Charalambous E, Biesmans B, Malousi A, Vrettou E, Fountzilas G, Karkavelas G. Targeted KRAS mutation assessment on patient tumor histologic material in real time diagnostics. PloS one. 2009;4:e7746.
    1. Kotoula V, Lyberopoulou A, Papadopoulou K, Charalambous E, Alexopoulou Z, Gakou C, Lakis S, Tsolaki E, Lilakos K, Fountzilas G. Evaluation of two highly-multiplexed custom panels for massively parallel semiconductor sequencing on paraffin DNA. PloS one. 2015;10:e0128818.
    1. Soussi T, Wiman KG. TP53: an oncogene in disguise. Cell Death Differ. 2015;22:1239–1249.
    1. Thusberg J, Olatubosun A, Vihinen M. Performance of mutation pathogenicity prediction methods on missense variants. Hum Mutat. 2011;32:358–368.
    1. Martelotto LG, Ng CK, De Filippo MR, Zhang Y, Piscuoglio S, Lim RS, Shen R, Norton L, Reis-Filho JS, Weigelt B. Benchmarking mutation effect prediction algorithms using functionally validated cancer-related missense mutations. Genome Biol. 2014;15:484.
    1. Papaxoinis G, Kotoula V, Alexopoulou Z, Kalogeras KT, Zagouri F, Timotheadou E, Gogas H, Pentheroudakis G, Christodoulou C, Koutras A, Bafaloukos D, Aravantinos G, Papakostas P, et al. Significance of PIK3CA Mutations in Patients with Early Breast Cancer Treated with Adjuvant Chemotherapy: A Hellenic Cooperative Oncology Group (HeCOG) Study. PloS one. 2015;10:e0140293.
    1. Thor AD, Berry DA, Budman DR, Muss HB, Kute T, Henderson IC, Barcos M, Cirrincione C, Edgerton S, Allred C, Norton L, Liu ET. erbB-2, p53, and efficacy of adjuvant therapy in lymph node-positive breast cancer. J Nat Cancer Inst. 1998;90:1346–1360.
    1. McShane LM, Hayes DF. Publication of tumor marker research results: the necessity for complete and transparent reporting. J Clin Oncol. 2012;30:4223–4232.

Source: PubMed

3
订阅