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Originally published as JCO Early Release 10.1200/JCO.2009.24.0903 on August 31 2009 © 2009 American Society of Clinical Oncology.
Reply to G. Rossi et alMolecular Pathology Laboratory, Columbia University Medical Center, New York, NY; and Rosetta Genomics Ltd, Rehovot, Israel We read with interest the response of Rossi et al1a to our recent article on the use of microRNA expression for subtyping of non–small-cell lung cancer (NSCLC).1 Without questioning any of our conclusions, they nevertheless state that morphological evaluation and a limited immunohistochemical (IHC) panel can reproduce the results obtained by microRNA profiling, with the advantage of being cheaper, faster, and requiring fewer tumor cells. They also fault us for failing to cite recent reports that, they claim, demonstrate the value of newer IHC markers. The comments by Rossi et al1a are well placed, and we do not discount the value of morphology or IHC; in fact, we used morphological examination as the gold standard against which we compared microRNA profiling. Our article did not directly compare the performance of microRNA profiling with that of IHC, but we need to take issue with a number of points made by Rossi et al. They provide three rules for using p63 and thyroid transcription factor-1 to distinguish adenocarcinoma (AC) from squamous cell carcinoma (SCC). However, Ring et al2 found that this panel failed to classify 22% of cases in a 551-tumor tissue microarray, and a five-antibody panel failed to classify 11% of tumors. Desmocollin, mentioned by Rossi et al, appears to be a promising marker of squamous differentiation, but the article they refer to focuses on its use in large cell carcinomas.3 Napsin A (another marker mentioned by Rossi et al), although a sensitive marker of lung AC, appears to have been evaluated only for the differentiation of primary lung AC from metastases.4 Its value in distinguishing AC from SCC has not been evaluated. IHC relies, to a large extent (also according to Rossi et al1a), on the knowledge and experience of the specific pathologist. IHC is affected by preanalytic variables, differences in primary antibodies used to detect individual antigens, and variability in detection methodology, as well as lab-to-lab and even pathologist-to-pathologist variability in interpretive criteria. This lack of standardization can significantly reduce the accuracy of IHC, as underscored by a recent expert panel that reviewed human epidermal growth factor receptor 2 testing in breast cancers, which estimated that 20% of nonstandardized IHC testing may be inaccurate.5 The nearly 40% reclassification rate of estrogen and progesterone receptor status of 1,000 retested cases from Newfoundland may be an extreme example, but it serves to highlight these issues.6 For NSCLC the situation is more complicated, because the accuracy levels of the different stains themselves are not well defined; different studies report widely varying sensitivity and specificity values for each of the stains.7–11 It is not clear whether this stems from variation in protocols or skills, biologic and/or epidemiologic differences, or the generally small number of samples in each study. Classification of NSCLC using IHC stains may be significantly superior to classification using morphology alone, and accumulated practical experience may point toward relative advantages of the use of IHC, yet rigorous studies of the diagnostic reproducibility and accuracy of NSCLC subtyping using IHC are still lacking. Studies of interobserver variation for NSCLC classification based on morphology found rates of concordance of 70% and even lower.12–17 In a recent large study of diagnostic reproducibility using morphology,18 only moderate rates of concordance were observed overall. On average, agreement was lower than thresholds generally acceptable for clinical diagnostic tests. The confidence in diagnosis was moderate or high for > 90% of slides, and requests for special stains were infrequent (10%; D. Hayes, personal communication, June 2009). Although this study may not entirely reflect clinical practice, it suggests that many pathologists feel comfortable rendering diagnoses without special stains. A clear use of special stains is not part of the WHO consensus criteria for diagnosis of tumors of the lung,19 and the extent of use of special stains in clinical practice is unknown. It would be important to find how IHC would fare in similarly rigorous tests of concordance and accuracy. In the absence of studies that assess the performance of IHC in a blinded fashion and, possibly, compare it head-to-head with microRNA expression analysis in a systematic manner, to state that one is equivalent (or superior) to the other is to confuse opinions with conclusions. In summary, the reliability and accuracy of IHC as a method for subclassification of NSCLC, as well as the dependence on various preanalytic and analytic factors that vary from laboratory to laboratory, have yet to be assessed. Furthermore, the effective precision of this method may depend on the skill and experience of the practicing pathologist. In contrast, a standardized protocol to measure expression level of hsa-miR-205, performed at a qualified laboratory, demonstrated an accuracy of > 90% in subtyping NSCLC, when compared to the consensus diagnosis of two or three expert pathologists,1 with a high rate of interlaboratory reproducibility. Therefore, although we expect IHC to be a valuable adjunct in the subclassification of NSCLC, the evidence available to date, and the arguments presented by Rossi et al,1a do not support a conclusion of equivalence (or nonequivalence) of IHC to microRNA profiling. Ultimately, these approaches may become complementary, as they each can serve to improve diagnostic accuracy. AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST Although all authors completed the disclosure declaration, the following author(s) indicated a financial or other interest that is relevant to the subject matter under consideration in this article. Certain relationships marked with a"U" are those for which no compensation was received; those relationships marked with a "C" were compensated. For a detailed description of the disclosure categories, or for more information about ASCO's conflict of interest policy, please refer to the Author Disclosure Declaration and the Disclosures of Potential Conflicts of Interest section in Information for Contributors. Employment or Leadership Position: Nitzan Rosenfeld, Rosetta Genomics Ltd (C) Consultant or Advisory Role: Mahesh M. Mansukhani, Rosetta Genomics Ltd (C) Stock Ownership: Nitzan Rosenfeld, Rosetta Genomics Ltd Honoraria: Mahesh M. Mansukhani, Rosetta Genomics Ltd Research Funding: Mahesh M. Mansukhani, Rosetta Genomics Ltd Expert Testimony: None Other Remuneration: None REFERENCES
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Copyright © 2009 by the American Society of Clinical Oncology, Online ISSN: 1527-7755. Print ISSN: 0732-183X
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