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For: Michiels S, Ternès N, Rotolo F. Statistical controversies in clinical research: prognostic gene signatures are not (yet) useful in clinical practice. Ann Oncol 2016;27:2160-7. [PMID: 27634691 DOI: 10.1093/annonc/mdw307] [Cited by in Crossref: 18] [Cited by in F6Publishing: 17] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Penault-Llorca F, Kwiatkowski F, Arnaud A, Levy C, Leheurteur M, Uwer L, Derbel O, Le Rol A, Jacquin JP, Jouannaud C, Quenel-Tueux N, Girre V, Foa C, Guardiola E, Lortholary A, Catala S, Guiu S, Valent A, Boinon D, Lemonnier J, Delaloge S. Decision of adjuvant chemotherapy in intermediate risk luminal breast cancer patients: A prospective multicenter trial assessing the clinical and psychological impact of EndoPredict® (EpClin) use (UCBG 2-14). Breast 2020;49:132-40. [PMID: 31790959 DOI: 10.1016/j.breast.2019.10.013] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 2.3] [Reference Citation Analysis]
2 Selleck MJ, Senthil M, Wall NR. Making Meaningful Clinical Use of Biomarkers. Biomark Insights. 2017;12:1177271917715236. [PMID: 28659713 DOI: 10.1177/1177271917715236] [Cited by in Crossref: 60] [Cited by in F6Publishing: 45] [Article Influence: 12.0] [Reference Citation Analysis]
3 Soliman H, Flake DD 2nd, Magliocco A, Robson M, Schwartzberg L, Sharma P, Brown K, Wehnelt S, Kronenwett R, Gutin A, Lancaster J, Cuzick J, Gradishar W. Predicting Expected Absolute Chemotherapy Treatment Benefit in Women With Early-Stage Breast Cancer Using EndoPredict, an Integrated 12-Gene Clinicomolecular Assay. JCO Precis Oncol 2019;3:PO. [PMID: 32914026 DOI: 10.1200/PO.18.00361] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
4 Harnan S, Tappenden P, Cooper K, Stevens J, Bessey A, Rafia R, Ward S, Wong R, Stein RC, Brown J. Tumour profiling tests to guide adjuvant chemotherapy decisions in early breast cancer: a systematic review and economic analysis. Health Technol Assess 2019;23:1-328. [PMID: 31264581 DOI: 10.3310/hta23300] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 6.5] [Reference Citation Analysis]
5 Salgado R, Moore H, Martens JWM, Lively T, Malik S, McDermott U, Michiels S, Moscow JA, Tejpar S, McKee T, Lacombe D; IBCD-Faculty. Societal challenges of precision medicine: Bringing order to chaos. Eur J Cancer 2017;84:325-34. [PMID: 28865260 DOI: 10.1016/j.ejca.2017.07.028] [Cited by in Crossref: 18] [Cited by in F6Publishing: 13] [Article Influence: 3.6] [Reference Citation Analysis]
6 Gilhodes J, Dalenc F, Gal J, Zemmour C, Leconte E, Boher JM, Filleron T. Comparison of Variable Selection Methods for Time-to-Event Data in High-Dimensional Settings. Comput Math Methods Med 2020;2020:6795392. [PMID: 32670394 DOI: 10.1155/2020/6795392] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
7 Hanna K, Mayden K. Chemotherapy Treatment Considerations in Metastatic Breast Cancer. J Adv Pract Oncol 2021;12:6-12. [PMID: 34113474 DOI: 10.6004/jadpro.2021.12.2.11] [Reference Citation Analysis]
8 Ades F, Tryfonidis K, Zardavas D. The past and future of breast cancer treatment-from the papyrus to individualised treatment approaches. Ecancermedicalscience 2017;11:746. [PMID: 28690677 DOI: 10.3332/ecancer.2017.746] [Cited by in Crossref: 18] [Cited by in F6Publishing: 13] [Article Influence: 3.6] [Reference Citation Analysis]
9 Chua MMJ, Lee M, Dominguez I. Cancer-type dependent expression of CK2 transcripts. PLoS One 2017;12:e0188854. [PMID: 29206231 DOI: 10.1371/journal.pone.0188854] [Cited by in Crossref: 21] [Cited by in F6Publishing: 20] [Article Influence: 4.2] [Reference Citation Analysis]
10 Roder J, Oliveira C, Net L, Tsypin M, Linstid B, Roder H. A dropout-regularized classifier development approach optimized for precision medicine test discovery from omics data. BMC Bioinformatics 2019;20:325. [PMID: 31196002 DOI: 10.1186/s12859-019-2922-2] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
11 Gupta V, Coburn N, Kidane B, Hess KR, Compton C, Ringash J, Darling G, Mahar AL. Survival prediction tools for esophageal and gastroesophageal junction cancer: A systematic review. J Thorac Cardiovasc Surg. 2018;156:847-856. [PMID: 30011772 DOI: 10.1016/j.jtcvs.2018.03.146] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 2.3] [Reference Citation Analysis]
12 Hannouf MB, Zaric GS, Blanchette P, Brezden-Masley C, Paulden M, McCabe C, Raphael J, Brackstone M. Cost-effectiveness analysis of multigene expression profiling assays to guide adjuvant therapy decisions in women with invasive early-stage breast cancer. Pharmacogenomics J 2020;20:27-46. [PMID: 31130722 DOI: 10.1038/s41397-019-0089-x] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 3.3] [Reference Citation Analysis]
13 Manem VSK, Salgado R, Aftimos P, Sotiriou C, Haibe-Kains B. Network science in clinical trials: A patient-centered approach. Semin Cancer Biol 2018;52:135-50. [PMID: 29278737 DOI: 10.1016/j.semcancer.2017.12.006] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 0.8] [Reference Citation Analysis]
14 Gilhodes J, Zemmour C, Ajana S, Martinez A, Delord JP, Leconte E, Boher JM, Filleron T. Comparison of variable selection methods for high-dimensional survival data with competing events. Comput Biol Med 2017;91:159-67. [PMID: 29078093 DOI: 10.1016/j.compbiomed.2017.10.021] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 2.4] [Reference Citation Analysis]
15 Patil S, Linge A, Grosser M, Lohaus F, Gudziol V, Kemper M, Nowak A, Haim D, Tinhofer I, Budach V, Guberina M, Stuschke M, Balermpas P, Rödel C, Schäfer H, Grosu A, Abdollahi A, Debus J, Ganswindt U, Belka C, Pigorsch S, Combs SE, Boeke S, Zips D, Baretton GB, Baumann M, Krause M, Löck S. Development and validation of a 6-gene signature for the prognosis of loco-regional control in patients with HPV-negative locally advanced HNSCC treated by postoperative radio(chemo)therapy. Radiotherapy and Oncology 2022. [DOI: 10.1016/j.radonc.2022.04.006] [Reference Citation Analysis]
16 Wu X, Wang L, Feng F, Tian S. Weighted gene expression profiles identify diagnostic and prognostic genes for lung adenocarcinoma and squamous cell carcinoma. J Int Med Res 2020;48:300060519893837. [PMID: 31854219 DOI: 10.1177/0300060519893837] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
17 Xiong D, Wang Y, You M. Reply to: "Inconsistent prediction capability of ImmuneCells.Sig across different RNA-seq datasets". Nat Commun 2021;12:4168. [PMID: 34234120 DOI: 10.1038/s41467-021-24304-4] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
18 Lyons YA, Wu SY, Overwijk WW, Baggerly KA, Sood AK. Immune cell profiling in cancer: molecular approaches to cell-specific identification. NPJ Precis Oncol 2017;1:26. [PMID: 29872708 DOI: 10.1038/s41698-017-0031-0] [Cited by in Crossref: 34] [Cited by in F6Publishing: 31] [Article Influence: 6.8] [Reference Citation Analysis]