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Editorial

Bio-Pathological Markers in the Diagnosis and Therapy of Cancer

by
Giuseppe Broggi
* and
Lucia Salvatorelli
Department G.F. Ingrassia, Azienda Ospedaliero-Universitaria “Policlinico-Vittorio Emanuele”, Anatomic Pathology, University of Catania, 95 125 Catania, Italy
*
Author to whom correspondence should be addressed.
Cancers 2020, 12(11), 3113; https://doi.org/10.3390/cancers12113113
Submission received: 19 October 2020 / Accepted: 22 October 2020 / Published: 25 October 2020
(This article belongs to the Special Issue Bio-Pathological Markers in the Diagnosis and Therapy of Cancer)

1. Diagnostic Markers in Human Cancer

The two medical sciences that mostly deal with the diagnostic approach to human neoplasms in clinical practice are undoubtedly radiology and pathology. The combined radio-pathological approach allows better diagnostic accuracy and enhances the effectiveness of the surgical procedure [1]. While radiology provides a macroscopic “point of view” of tumors, pathology allows the study of the microscopic, cellular details of human neoplasms. Although the interpretation of the morphology of the tumor is still a mandatory step in the pathologist’s routine practice, the introduction of immunohistochemistry (IHC) has undoubtedly represented a turning point, improving the histopathological diagnostic “quality” [2]. Using immunohistochemical antibodies against specific antigens of neoplastic cells, pathologists are often able to identify the cell line of origin even in the case of poorly differentiated tumors [2]. IHC also enables the identification of specific proteins selectively expressed by some types of neoplasms with high sensitivity and specificity rates [2]: a classic example is represented by anti-STAT6 C-terminal antibodies, routinely used in diagnostic practice as surrogate for the NAB2-STA6 fusion, present in almost all cases of solitary fibrous tumor (SFT) [3]. In the last decades, the diagnostic utility of IHC has been integrated and enhanced by the development of methods, such as Western blot, fluorescence in situ hybridization (FISH), real-time polymerase chain reaction (rt-PCR), and next-generation sequencing (NGS), able to investigate human neoplasms at a molecular level, identifying the specific mutational status of tumors. In particular, some “entity-defining” mutations have been introduced in different areas of human oncology: The fact that in neuro-oncology a diagnosis of “oligodendroglioma” may be rendered only in the presence of the Isocytrate Dehydrogenase (IDH) 1/2 mutation and 1p-19q codeletion is emblematic [4]. Such methods, mainly due to their costs, cannot replace IHC, but must be integrated with it, representing a second step in the diagnostic approach to human tumors. In this regard, the possibility of combining an easily accessible technique such as IHC with the search for microRNAs (miRNA) by in situ hybridization (ISH) represents one of the most interesting alternatives [5]; this combined method can be performed on paraffin-embedded and formalin-fixed tissue and allows miRNAs amplification to be evaluated, determining both their spatial tissue distribution and cellular/subcellular localization, based on the correlation with immunohistochemical stains [5]; currently the other PCR-based miRNAs extraction techniques do not allow such results to be obtained.

2. Prognostic and Predictive Markers of Therapeutic Response in Human Cancer

In human oncology a prognostic factor is a protein, gene or mutation that confers a better or worse prognosis to a tumor; the usefulness of identifying certain prognostic factors is represented by the possibility to prognostically subclassify patients affected by a specific neoplasm in terms of overall survival (OS) and disease-free survival (DFS) [6]. Many prognostic factors also have a predictive value: their high or low expression makes that kind of tumor more or less sensitive to specific therapies. Accordingly, based on their evaluation, it has been demonstrated that a therapeutic “customization” may be performed with decisive impact on OS and DFS. Both IHC and molecular methods allow the detection of prognostic/predictive factor in human cancer. One of the major application fields of these findings is undoubtedly breast cancer: the identification of factors with both prognostic and predictive value, easily detectable by IHC, such as expression of estrogen and progesterone receptors (ER, PgR), c-erbB2 (HER-2) overexpression and proliferative index, led to a progressive abandonment of the old morphological classification of breast cancer for the new “molecular” one. Based on the different expression levels of ER, PgR, c-erbB2 and proliferative index, a subdivision into “Luminal A”, “Luminal B”, “HER-2 +” and “basal-like” breast cancer is currently widely used [7]. Particularly, the determination of c-erbB2 status by IHC and FISH (in cases with non- conclusive immunohistochemical results) has the highest clinical impact as it selects a subgroup of patients with poorer prognosis but who can benefit from therapy with anti-HER2 monoclonal antibody (trastuzumab) [8]. Central nervous system tumors represent another field in which decisive progress has been made through the identification of tumor-related prognostic/predictive markers. The most relevant molecular signature of World Health Organization (WHO) grade IV glioblastomas (GBMs) is promoter methylation of the gene encoding for O6-methylguanine DNA methyltransferase (MGMT), located at chromosome 10q26 and coding for an ubiquitously expressed suicide DNA repair enzyme which induces the removal of alkyl adducts from the O6-guanine [9]. Inactivation of MGMT leads to cell death caused by DNA breaks; it also has a protective role on tumor cells from the lethal effects of chemotherapy with alkylating agents such as temozolomide [9]. About 35–45% of WHO grades III and IV malignant gliomas present methylation of the MGMT promoter that strongly predicts a better response to alkylating agents, representing a powerful and independent prognostic/predictive factor of longer OS and DFS [9].

3. Future Perspectives

The search of bio-pathological markers with diagnostic and prognostic/predictive role still represents one of the most important perspectives of global scientific research. In recent years most efforts have been made to identify new bio-markers of particularly rare forms of cancer, such as uveal melanoma (UM). It has been demonstrated that inactivating mutations of BAP-1 gene, easily detectable by the immunohistochemical loss of BAP-1, select a subgroup of UMs with more aggressive clinical behavior and higher metastatic potential [10]. Moreover, the differential immunohistochemical expression of other proteins, including ADAM-10, ABCB5, SPANX-C, and MacroH2A1 [6,11,12,13], has been found to have potential prognostic significance in UM. Programmed Death-1 (PD-1) and Programmed Death Ligand-1 (PDL-1) represent the prototypes of relatively new prognostic/predictive markers, whose role is being investigated in several human neoplasms, including non-small-cell lung cancer (NSCLC), as they identify a subset of patients potentially susceptible to therapy with PD-1 and PDL-1 inhibitors [14].
However, despite the many advances made, very little is known about the true biology of human cancer. This is encouraging the scientific community to search for additional bio-pathological markers in order to better know the cancer biology, enhance the diagnostic accuracy, and provide further potential prognostic information with an impact on patient treatment.

Author Contributions

G.B. and L.S. made a substantial, direct and intellectual contribution to the work, and approved it for publication. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Angulo, P.A.; Castellano, C.R.; Martín, J.R.; González-Carrato, M.S.; Hernández, L.C. Characterization of invisible breast cancers in digital mammography and tomosynthesis: Radio-pathological correlation. Radiologia 2017, 59, 511–515. [Google Scholar]
  2. Sukswai, N.; Khoury, J.D. Immunohistochemistry Innovations for Diagnosis and Tissue-Based Biomarker Detection. Curr. Hematol. Malig. Rep. 2019, 14, 368–375. [Google Scholar] [CrossRef] [PubMed]
  3. Magro, G.; Spadola, S.; Motta, F.; Palazzo, J.; Catalano, F.; Vecchio, G.M.; Salvatorelli, L. STAT6 expression in spindle cell lesions of the breast: An immunohistochemical study of 48 cases. Pathol. Res. Pract. 2018, 214, 1544–1549. [Google Scholar] [CrossRef] [PubMed]
  4. Lapointe, S.; Perry, A.; Butowski, N.A. Primary brain tumours in adults. Lancet 2018, 392, 432–446. [Google Scholar] [CrossRef]
  5. Singh, U.; Keirstead, N.; Wolujczyk, A.; Odin, M.; Albassam, M.; Garrido, R. General principles and methods for routine automated microRNA in situ hybridization and double labeling with immunohistochemistry. Biotech. Histochem. 2014, 89, 259–266. [Google Scholar] [CrossRef] [PubMed]
  6. Broggi, G.; Musumeci, G.; Puzzo, L.; Russo, A.; Reibaldi, M.; Ragusa, M.; Longo, A.; Caltabiano, R. Immunohistochemical Expression of ABCB5 as a Potential Prognostic Factor in Uveal Melanoma. Appl. Sci. 2019, 9, 1316. [Google Scholar] [CrossRef] [Green Version]
  7. Broggi, G.; Filetti, V.; Ieni, A.; Rapisarda, V.; Ledda, C.; Vitale, E.; Varricchio, S.; Russo, D.; Lombardo, C.; Tuccari, G.; et al. MacroH2A1 Immunoexpression in Breast Cancer. Front. Oncol. 2020, 10, 1519. [Google Scholar] [CrossRef] [PubMed]
  8. García-Caballero, T.; Menéndez, M.D.; Vázquez-Boquete, A.; Gallego, R.; Forteza, J.; Fraga, M. HER-2 status determination in breast carcinomas. A practical approach. Histol. Histopathol. 2006, 21, 227–236. [Google Scholar] [PubMed]
  9. Mansouri, A.; Hachem, L.D.; Mansouri, S.; Nassiri, F.; Laperriere, N.J.; Xia, D.; Lindeman, N.I.; Wen, P.Y.; Chakravarti, A.; Mehta, M.P.; et al. MGMT promoter methylation status testing to guide therapy for glioblastoma: Refining the approach based on emerging evidence and current challenges. Neuro Oncol. 2019, 21, 167–178. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Szalai, E.; Wells, J.R.; Ward, L.; Grossniklaus, H.E. Uveal Melanoma Nuclear BRCA1-Associated Protein-1 Immunoreactivity Is an Indicator of Metastasis. Ophthalmology 2018, 125, 203–209. [Google Scholar] [CrossRef] [PubMed]
  11. Caltabiano, R.; Puzzo, L.; Barresi, V.; Ieni, A.; Loreto, C.; Musumeci, G.; Castrogiovanni, P.; Ragusa, M.; Foti, P.; Russo, A.; et al. ADAM 10 expression in primary uveal melanoma as prognostic factor for risk of metastasis. Pathol. Res. Pract. 2016, 212, 980–987. [Google Scholar] [CrossRef] [PubMed]
  12. Salvatorelli, L.; Puzzo, L.; Russo, A.; Reibaldi, M.; Longo, A.; Ragusa, M.; Aldo, C.; Rappazzo, G.; Caltabiano, R.; Salemi, M. Immunoexpression of SPANX-C in metastatic uveal melanoma. Pathol. Res. Pract. 2019, 215, 152431. [Google Scholar] [CrossRef] [PubMed]
  13. Salvatorelli, L.; Puzzo, L.; Bartoloni, G.; Palmucci, S.; Longo, A.; Russo, A.; Reibaldi, M.; Vinciguerra, M.; Li Volti, G.; Caltabiano, R. Immunoexpression of Macroh2a in Uveal Melanoma. Appl. Sci. 2019, 9, 3244. [Google Scholar] [CrossRef] [Green Version]
  14. Bozcuk, H.; Artaç, M.; Mutlu, H.; Sever, Ö.; Yıldırım, M. Programmed death-1 or programmed death ligand-1 inhibitors? A meta-analysis of differential efficacy as compared to chemotherapy in advanced non-small cell lung cancer. J. Oncol. Pharm. Pract. 2020, 1078155220964903. [Google Scholar] [CrossRef] [PubMed]
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MDPI and ACS Style

Broggi, G.; Salvatorelli, L. Bio-Pathological Markers in the Diagnosis and Therapy of Cancer. Cancers 2020, 12, 3113. https://doi.org/10.3390/cancers12113113

AMA Style

Broggi G, Salvatorelli L. Bio-Pathological Markers in the Diagnosis and Therapy of Cancer. Cancers. 2020; 12(11):3113. https://doi.org/10.3390/cancers12113113

Chicago/Turabian Style

Broggi, Giuseppe, and Lucia Salvatorelli. 2020. "Bio-Pathological Markers in the Diagnosis and Therapy of Cancer" Cancers 12, no. 11: 3113. https://doi.org/10.3390/cancers12113113

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