Are triple-negative tumours and basal-like breast cancer synonymous? Authors' response

Letter

We read with interest the issues raised by Rakha and colleagues [1] in their response to our recent research article [2], and we are pleased to address them. An important conclusion from our research article is that triple-negative breast cancer can be equated to basal-like breast cancer. In their letter, Rakha and colleagues [1] state that equating triple-negative phenotype (TNP) tumours with basal-like breast cancer is misleading and is not supported by the data we have presented.

It is important to realize that, as we have also pointed out in our article [2], the basal-like breast cancer subtype was initially defined based on the gene expression pattern of the so-called 'intrinsic gene list' in only six breast tumours [3]. Since this initial report, the intrinsic gene list that is used to identify basal-like breast tumours has been updated multiple times [3-5]. This shows that a gene-expression-based definition of basal-like breast cancer has its limitations.

There are two reasons for Rakha and colleagues [1] to dispute our results. First, there are nine triple-negative tumours that have a gene expression pattern that is not strongly correlated to the basal-like centroid. However, when we do not set the threshold for the correlation coefficient to the molecular subtype centroids at 0.1, but simply look at the closest centroid, all our unclassifiable samples will be allocated to the basal-like subtype. This leaves only the four samples that are allocated to the normal epithelial-like subtype. This is a problematic group, as it was originally defined on the basis of samples that did not contain tumour cells after neoadjuvant chemotherapy treatment and there are many similarities between this subtype and the basal-like subtype [3].

Second, Rakha and colleagues [1] state that '18.6% of non-TNP cancers cluster together with TNP cancers in the "basal-like" cluster'. This argument is based on an incorrect understanding of our findings. These 18.6% are not part of a series of tumours that were all negative for a TNP, but 18.6% of a series of tumours not selected for TNP. These tumours include both TNP and non-TNP samples. In Additional file 1 [2], it is shown that some of these tumours have the gene expression pattern of triple-negative tumours – these are in fact the TNP tumours from this unselected series of tumours. This lends even greater support to the notion that triple-negative tumours are synonymous with basal-like tumours.

We therefore stand by our results and believe that gene expression profiling studies have highlighted the importance of basal-like/TNP tumours but that simple immunohisto-chemistry is sufficient to classify these tumours.

Competing interests

The authors declare that they have no competing interests.

References

1. Rakha EA, Tan DSP, Foulkes WD, Ellis IO, Tutt A, Nielsen TO, Reis-Filho JS: Are triple-negative tumours and basal-like breast cancer synonymous?

   Breast Cancer Res 2007, 9:404. BioMed Central Full Text

2. Kreike B, van Kouwenhove M, Horlings H, Weigelt B, Peterse H, Bartelink H, van de Vijver MJ: Gene expression profiling and histopathological characterization of triple negative/basal-like breast carcinomas.

   Breast Cancer Res 2007, 9:R65. PubMed Abstract | BioMed Central Full Text

3. Perou CM, Sørlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, Pollack JR, Ross DT, Johnsen H, Akslen LA, et al.: Molecular portraits of human breast tumours.

   Nature 2000, 406:747-752. PubMed Abstract | Publisher Full Text

4. Hu Z, Fan C, Oh DS, Marron JS, He X, Qaqish BF, Livasy C, Carey LA, Reynolds E, Dressler L, et al.: The molecular portraits of breast tumors are conserved across microarray platforms.

   BMC Genomics 2006, 7:96. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text

5. Sørlie T, Tibshirani R, Parker J, Hastie T, Marron JS, Nobel A, Deng S, Johnsen H, Pesich R, Geisler S, et al.: Repeated observation of breast tumor subtypes in independent gene expression data sets.

   Proc Natl Acad Sci USA 2003, 100:8418-8423. PubMed Abstract | Publisher Full Text | PubMed Central Full Text

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