Antinuclear Antibodies With a Homogeneous and Speckled Immunofluorescence Pattern Are Associated With Lack of Cancer While Those With a Nucleolar Pattern With the Presence of Cancer

Background: Different antinuclear antibody (ANA) patterns have been associated with the presence of cancer, while other are typically seen in autoimmune diseases. This study aims to investigate the association between ANA and cancer, focusing on patients with ANA with a nucleolar indirect immunofluorescence (IIF) pattern.

Materials and Methods: ANA patterns and positivity of antibodies against nuclear antigens (NA), in particular those responsible for a nucleolar ANA pattern and/or associated with systemic sclerosis (CENP-A/B, fibrillarin, Ku, NOR-90, PM/Scl-100, PM/Scl-75, RNAP-III, Scl-70, Ro52/TRIM21, and Th/To) were analyzed and correlated to an internal database of patients with cancer.

Results: The study included 15,728 patients who had an ANA analysis, 386 patients who had immunodot analysis for antibody/ies against/to specific NA and 15,701 patients diagnosed with cancer. The presence of ANA with a nucleolar pattern showed an increased relative risk (RR 1.5, 95%CI 1.03-2.3) for an associated cancer. Anti-Scl70 and anti-RNAP-III were associated with cancer in 15 and 14%, respectively. The presence of ANA with a homogeneous & speckled (HS) pattern was significantly associated with the absence of cancer (p < 0.01). Patients with a HS pattern were found to have a lower relative risk (RR 0.7, 95%CI 0.5-0.9) of having cancer compared to those with other patterns.

Conclusions: Larger studies are needed to investigate which particular antibody/ies against/to specific NA is responsible for the association between nucleolar ANA and cancer, but anti-Scl70 and anti-RNAP-III, which is frequently associated with the presence of anti-RNAP-I, are good candidates to explain this association. Patients with a nucleolar pattern might be considered for cancer screening, in particular if they have anti-Scl70 and anti-RNAP-III antibodies.

Introduction

Autoantibodies against proteins located in the nucleus are called antinuclear antibodies (ANA). ANA can be detected efficiently and sensitively by indirect immunofluorescence (IIF) when suspecting an autoimmune disease (AID). Antigen specific tests usually follow positive ANA tests to give more information on the specific targeted nuclear antigens (NA) (1).

In IIF, ANA can display different nuclear patterns depending on the targeted antigen. These patterns were recently defined by the International Consensus on ANA Patterns (ICAP) (2). Anti-nucleolar autoantibodies (ANoA) can be homogeneous (AC-8), clumpy (AC-9), or punctate (AC-10). The simultaneous presence of two or more patterns is possible and a frequently observed combination is the homogeneous & speckled (HS) pattern, later controversially termed as “dense fine speckled,” which is mostly associated with anti-dense fine speckled antigen 70/Lens epithelium-derived growth factor (DFS70/LEDGF) specificity (3). A very similar aspect but without anti-DFS70/LEDGF specificity has recently been termed “pseudo-DFS pattern” (4).

In clinical practice, the presence of high titers of ANA raises the suspicion of an underlying AID. Additionally, several studies have shown the association of ANoA, historically linked to SSc and myositis, with malignant disease (5–8). Other studies have shown the presence of anti-RNA polymerase III (anti-RNAP-III) in many different types of cancers, particularly breast, lung and hematological cancers (9–14). Anti–RNAP-III antibodies have been shown to almost unequivocally coexist with anti–RNA polymerase I (anti-RNAP-I) antibodies (15). This complicates the identification of anti-RNAP-I in that its punctate nucleolar staining may be obscured by the coexisting nuclear IIF staining of anti–RNAP-III antibodies (15).

Despite the association of ANA with malignant disease, different studies have shown that patients with ANA had a more favorable cancer outcome when compared to patients negative for ANA, possibly explained by more vigorous activation of the immune system fighting against the malignant cells (16–20).

This retrospective study aims to investigate the relationship between the presence of different ANA patterns, antibody/ies against/to specific NA and the presence or outcome of cancer.

Materials and Methods

Patients

Patients tested for ANA by IIF and for antibody/ies against/to specific NA by immunodot in the University Hospital of Geneva's immunology and clinical allergology laboratory were analyzed and compared to a database of all patients who presented at the same center diagnosed with cancer according to the ICD-10 code, between 2010 and 2016. Patients tested for ANA or by immunoblot but not included in the latter database were considered to not have cancer.

Patients who had positive ANA exhibiting different IIF aspects in two separate analyses (for example: first analysis speckled and then nucleolar aspect in another analysis) or have been tested once positive and once negative during this time, were subsequently excluded in order to obtain a cohort without ambiguous IIF pattern.

Immunodot results of 10 specific antigens (CENP-A/B, fibrillarin, Ku, NOR-90, PM/Scl-100, PM/Scl-75, RNAP-III, Scl-70, Ro52/TRIM21, and Th/To), known to possibly elicit a nucleolar ANA pattern or to be positive in SSc, were further analyzed.

For patients with a nucleolar pattern, as well as those with a HS pattern, medical charts were studied in order to confirm the cancer diagnosis and analyze the survival rate. Ethical approval was obtained from swissethics (study no. 2017-02046) in accordance with the World Medical Association's Declaration of Helsinki.

Antibody Testing

Our laboratory has accreditation by the Swiss Accreditation Service on the basis of the relevant international standards: ISO/CEI 15189. ANA detection was performed by IIF technique using HEp-2 (human epithelial cell line) substrate slides and FITC anti-human IgG conjugate (Nova Lite™ Inova Diagnostics, San Diego, USA). Serums were tittered from 1/80 to endpoint and results were expressed as the last positive dilution. ANA titer ≥1/160 were considered positive. The ICAP classification was gradually introduced in our laboratory only in 2016. The term HS, which still sometimes is seen without an association with anti-DFS70/LEDGF antibodies, was used in our study to describe both the dense fine speckled (AC-2) and other patterns with a speckled nuclear staining associated with a stained metaphase plate.

According to an internal algorithm, antigen specificity was tested in the presence of ANA with nucleolar pattern at a titer ≥1/320 and in patients suspected to have SSc by the treating physician with the EUROLINE SSC Profile (Nucleoli) immunodot (EUROIMMUN AG, Luebeck, Germany) and scanned with CanoScan Lide 100. Antibodies against Scl-70, CENP A, CENP B, RP11 (RNAP-III), RP155 (RNAP-III), fibrillarin, NOR-90, Th/To, PM/Scl-100, PM/Scl-75, Ku, Ro52/TRIM21 were tested and analyzed with EUROLineScan software. Intensity values above 50 were considered positive.

Statistics

Two statistical approaches were used in order to increase the reliability of the results: First we tested whether the rate of positivity of a particular ANA pattern among patient who had cancer was significantly different from those who did not have cancer, i.e., if there was an association. In a different approach, we tested if the risk to have cancer with a given pattern was significantly different than the risk to have cancer with any other pattern, i.e., the relative risk. Fisher test and two-tailed Chi-square with Yate's correction were used depending on the number of patients. Two-tailed unpaired student t-test was used to compare two means, that is the age and delay in Table 2. For age, the Kolmogorov-Smirnov test of normality showed a D value of 0.13, p-value was 0.74, indicating likely normal distribution. The Shapiro–Wilk test gave a similar result when excluding outliners. A value of p < 0.05 was considered statistically significant. The free available internet version of GraphPad QuickCalcs and MedCalc were used.

Results

IIF Results

Among 15,728 patients tested by IIF during the study period, 2,903 had ANA titers ≥ 1/160, after the exclusion of 577 patients who had inconsistent duplicate results, as outlined in the methods. Figure 1 shows the various IIF patterns that were observed among the ANA positive patients.

FIGURE 1

Figure 1. Indirect immunofluorescence (IIF) results of patients included in the study. IIF, indirect immunofluorescence; PCNA, proliferating cell nuclear antigen.

Cancer Diagnosis

Among 23,195 patients diagnosed with neoplasm, 15,701 patients had malignant disease (463 different ICD-10 diagnosis, block C) and 7,494 patients had either benign disease or in situ neoplasms (281 different ICD-10 diagnosis, block D).

Association Between Malignant Disease and IIF Pattern

Association analysis of each ANA pattern with the presence of malignant disease showed that 10.4% of patients with the nucleolar pattern had malignant disease compared to 8.0% without this pattern, the difference not reaching statistical significance (p = 0.2). Similarly, other patterns analyzed (speckled, homogeneous, centromere) were not statistically associated with the presence of malignant disease, except for the HS aspect that was found to be significantly associated with the absence of malignant neoplastic disease (p < 0.01).

Relative Risk

A total of 1,217 patients had both an ANA analysis and a malignant cancer. 205 patients had positive ANA and had a malignant neoplastic disease (Table 1). The HS pattern was found to have significantly a lower relative risk (RR 0.7; p = 0.02) compared to patients with other ANA patterns. On the contrary, the nucleolar pattern showed an increased relative risk (RR 1.5; p = 0.04).

TABLE 1

Table 1. Relative risk of malignant disease according to ANA pattern.

10.4% of patients who were positive for ANoA had malignant cancers, which was significantly higher (p < 0.01) compared to the patients with the HS aspect (5%).

Immunodot Results

A total of 386 patients have been tested for specific NA over the study period. 123 patients were positive for one or more antibody/ies against/to NA, including 24 patients who were positive for several antigens simultaneously. 48 patients were positive for CENP-A/B, 38 for Ro52/TRIM21, 13 for Scl-70, 7 for RNAP-III, 3 for PM/Scl-100, 4 for PM/Scl-75, 6 for Th/To and 1 for NOR-90, 1 for fibrillarin, 2 for Ku. A total of 8 patients had both antibody/ies against/to NA by immunodot and malignant neoplastic disease (i.e., were found “positive” in both database). No statistical analysis was performed with n = 8. However it is worth noting that two (15.4%) of the patients with anti-Scl-70 and 1 (14.3%) of the patients with anti-RNAP-III had malignant disease (Figure 2).

FIGURE 2

Figure 2. Malignant neoplasm rate in patients with positive immunodot for specific antibody/ies against/to nuclear antigens (NA).

Clinical Characteristics of Patients With Malignancy and a Nucleolar or a HS Patterns

The medical charts of patients with a HS or nucleolar aspects were analyzed to confirm the diagnosis of malignant disease and investigate the clinical characteristic, including the survival.

The average age of patients with ANoA was 60 years at cancer diagnosis. During the study period, 12 died (48%), at an average age of 66.9 years. Four patients had a concomitant AID or paraneoplastic disease.

For patients with a HS pattern, the average age was 66.7 years at the time of cancer diagnosis. 16 patients died (47%), with an average of 75 years at the time of death, this being statistically higher than for the nucleolar pattern (p = 0.02). 10 patients had either an AID or a paraneoplastic disease. Mortality cause was not always available from medical charts, so that the all-cause mortality was assessed and is shown in Table 2.

TABLE 2

Table 2. Characteristics of patients with malignant disease and positive antinuclear antibodies according to indirect immunofluorescence pattern.

Discussion

The recent discoveries on the mechanism of CTLA-4 and PD-1 inhibition led to the development of several drugs that have increased the treatment options for a large number of malignant diseases (21). However, these drugs have often side effects, including the development of autoimmune disease. Whether an immunological work-up is required in order to identify patients at risk to develop these adverse immunological reactions is currently matter of debate. This study investigates the association of different ANA patterns with the presence and outcome of cancer. Our study might help clinicians to understand in which patients the effects of the immune system might be protective or deleterious in the context of an associated neoplastic disease, in view of more patient's tailored treatment protocols in the future. Based on our results, it would be interesting to investigate if patients with ANoA respond better to checkpoint inhibitor therapy than perhaps patients with the HS pattern.

ANA were found to be positive in ~40% of patients with malignant tumors in two previous studies (22, 23). Conversely, Shiel and Jason found a malignant disease in 2.9% of patients with positive ANA (24). In an attempt to find a pathophysiological mechanism linking ANA to cancer, several hypotheses have been formulated in the literature. Recently, Giat et al. demonstrated that this relationship might be bidirectional: cancer could be implicated in the emergence of AID as paraneoplastic phenomenon and conversely, some AID and immunosuppressive treatments are known to increase the risk of cancer (25). Other authors also described the implications of two mutated proteins, showing a nucleolar (AC-8) pattern in IIF when targeted by ANA, in the development of tumors. The first, nucleophosmin, is frequently overexpressed and mutated in human cancer. This protein contributes to oncogenesis through many different mechanisms (26). The second, nucleolin, is commonly overexpressed in cancer cells and influences the cell survival, proliferation and invasion, by acting on different cellular pathways (27). Mutation leading to the expression of altered proteins is one possible mechanism leading to an immune response and it is not excluded that this phenomenon might explain the development of ANA, the latter signaling in this context the development of a malignant disease (28). In this setting, some authors have explored the idea of using ANA as markers for early cancer detection (6, 13). A screening recommendation of aggressive malignancies for anti-RNAP-III positive patients with scleroderma was made in 2017 by Sha et al. (13). Lazzaroni et al. highlighted the frequency of breast cancer in patients with anti-RNAP-III antibodies and therefore suggested its screening in anti-RNAP-III positive patients (10). Our results are less specific for a particular NA, but similarly indicate the association between antibodies targeting nucleolar antigens and cancer and indicate the need of a particular close observation in patients with positive ANoA not having yet been diagnosed with a malignant disease.

Differently than most studies investigating the prevalence of cancer in selected cohorts (7–9, 12, 20, 29, 30), our study investigates the link between different ANA patterns and malignant disease in a non-selected population. Our study shows an increased relative risk for malignant disease in patients with ANoA compared to other ANA patterns, as well as a link between the HS pattern and the absence of cancer. These results show that different ANA patterns might herald the involvement of the immune system, either in protecting from malignant disease or in signaling its presence, as shown in other studies (20, 31).

Interestingly, numerous studies linked specific NA, showing a nucleolar pattern in IIF, to cancer, such as PM/Scl (7, 8, 30), NOR-90, and fibrillarin (6, 32). RNAP-III, which has also be linked to malignant disease (9, 11, 12, 29, 33, 34), has been shown to be very frequently associated with the presence of RNAP-I, which shows notably also a nucleolar pattern (15). This could theoretically explain the association between ANoA and cancer found in our study. Moreover, in our study, the two most common NA in cancer patients were Scl-70 (15.4%) and RNAP-III (14.3%). These results were similar to those of Moinzadeh et al., in a cohort of SSc patients (29). Recently, Scl-70, showing a DNA-topoisomerase-like IIF pattern (AC-29), has been described to elicit a punctate nucleolar pattern (35). It is therefore not excluded that some of the patterns identified as nucleolar might have been caused by the presence of anti-Scl-70. In our study, 1 patient with anti-Scl-70 showed indeed a nucleolar pattern, however the number of patients investigated by both IIF and immunodot was too low to draw any conclusions in this regard.

The second main result of our study is that the HS pattern is significantly associated with the absence of cancer and has a lower relative risk than other ANA patterns. Although this pattern has not been previously described as protective, the study of Blaes et al. support our results. These authors found the presence of ANA as an indicator of a protective immune response in a cohort of 61 patients with non-small cell lung carcinoma (19). In this study, the most frequent ANA patterns were homogeneous (55%) and speckled (25%). Another study in patients with lung cancer found that the presence of ANA targeting different nuclear antigen was associated with a prolonged survival without disease progression, suggesting that they might play a protective role in the progression of cancer (31).

In our study, only the HS pattern was associated with a decreased relative risk of concomitant neoplastic disease. Recent studies have shown that in some cases the HS pattern might be related to ANA targeting the DFS70/LEDGF antigen (3). These antibodies have been shown to be frequently found in an “apparently” healthy population (36). Indeed, in a post hoc analysis, 13 out of 14 (93%) patients with a HS pattern in our study were tested for anti-DFS70/LEDGF antibodies and were found positive. In fact, anti-DFS70/LEDGF analysis was introduced in our laboratory in 2016, and only recently we realized that most of the previously described HS patterns were in reality caused by anti-DFS70/LEDGF antibodies and corresponded to the AC-2 pattern according to international consensus on ANA pattern. Unfortunately, the initial retrospective study design did not allow to investigate whether anti-DFS70/LEDGF were associated with the lack of cancer and no conclusions can be drawn from this limited data set. The role of anti-DFS70/LEDGF antibodies is currently matter of debate (36), however if the association between these antibodies and the absence of cancer will be confirmed in the future, this could explain the decreased relative risk of concomitant neoplastic disease in patients with ANA with the HS pattern found in our study.

In our study, data from medical charts revealed a lower average age at death for ANoA positive patients compared those with the HS pattern. However, this is probably biased by the increased age of patients with a HS pattern compared to patients with an ANoA pattern. Our study therefore does not allow to speculate on the role of antibodies eliciting a HS or nucleolar pattern in vivo, neither to predict the development of AID in cancer patients, for which prospective studies are urgently needed.

In conclusion, ANA with a HS pattern were associated with a significantly lower prevalence of neoplastic malignant disease and a decreased relative risk of having cancer compared to other ANA patterns. On the other hand, the nucleolar pattern was associated with a significantly increased relative risk of malignant neoplastic disease. Further studies are needed to investigate which particular antibody/ies against/to NA is responsible for these associations. While anti-DFS70/LEDGF antibodies could be involved in association of the HS pattern with the lower prevalence of cancer, anti-Scl70 and anti-RNAP-III antibodies, the latter being frequently associated with the presence of anti-RNAP-I, are good candidates for the association between ANoA and the presence of cancer, because these antibodies are well known to be associated with cancer and possibly give rise to a nucleolar pattern.

Data Availability Statement

The datasets generated for this study will not be made publicly available. Despite encrypted crypted, database contain patients numbers that could potentially be used to identify patients. However, database can be provided to the editor to prove the results. Requests to access the datasets should be sent to David Spoerl, ZGF2aWQuc3BvZXJsJiN4MDAwNDA7aGN1Z2UuY2g=.

Author Contributions

DS contributed conception and design of the study. DS and AG organized the database, performed the statistical analysis. AG wrote the first draft of the manuscript. PR-L collected the data and wrote sections of the manuscript. All authors contributed to manuscript revision, read and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Abbreviations

AID, Autoimmune disease; ANA, Antinuclear autoantibody; ANoA, Antinucleolar autoantibody; CENP-A/B, Centromere protein A/B; DFS70, Dense fine speckled antigen; DM, Dermatomyositis; dsDNA, Double-stranded DNA; NA, Nuclear antigens; FITC, Fluorescein isothiocyanate; HEp-2, Human epithelial type 2; ICAP, International consensus on ANA patterns; ICD-10, International classification of diseases, 10th Revision; IIF, Indirect Immunofluorescence; LEDGF, Lens epithelium-derived growth factor; NOR-90, Nucleolus organizer region autoantigen; SLE, Systemic lupus erythematosus; Sm, Smith factor; SjS, Sjögren syndrome; SSc, Systemic sclerosis; PCNA, Proliferating cell nuclear antigen; PM, Polymyositis; PM/Scl, Polymyositis/Scleroderma antigen; RA, Rheumatoid arthritis; RNAP-I, RNA polymerase I; RNAP-III, RNA polymerase III; U3-snoRNP, U3 - small nucleolar ribonucleoprotein particle.

References

1. Petitpierre S AV, Aubert V, Leimgruber A, Spertini F, Bart PA. Utilité de la recherche des autoanticorps dans la pratique quotidienne. Revue Médicale Suisse. (2009) 5:823–31.

Google Scholar

2. Damoiseaux J, Andrade LEC, Carballo OG, Conrad K, Francescantonio PLC, Fritzler MJ, et al. Clinical relevance of hep-2 indirect immunofluorescent patterns: The international consensus on ana patterns (icap) perspective. Ann Rheum Dis. (2019) 78:879–89. doi: 10.1136/annrheumdis-2018-214436

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Carter JB, Carter S, Saschenbrecker S, Goeckeritz BE. Recognition and relevance of anti-dfs70 autoantibodies in routine antinuclear autoantibodies testing at a community hospital. Front Med (Lausanne). (2018) 5:88. doi: 10.3389/fmed.2018.00088

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Infantino M, Bizzaro N, Grossi V, Manfredi M. The long-awaited 'pseudo-dfs pattern'. Expert Rev Clin Immunol. (2019) 15:445. doi: 10.1080/1744666X.2019.1596801

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Thomas PJ, Kaur JS, Aitcheson CT, Robinson WA, Tan EM. Antinuclear, antinucleolar, and anticytoplasmic antibodies in patients with malignant melanoma. Cancer Res. (1983) 43:1372–80.

PubMed Abstract | Google Scholar

6. Imai H, Ochs RL, Kiyosawa K, Furuta S, Nakamura RM, Tan EM. Nucleolar antigens and autoantibodies in hepatocellular carcinoma and other malignancies. Am J Pathol. (1992) 140:859–70.

PubMed Abstract | Google Scholar

7. Bernal-Bello D, de Tena JG, Guillén-del Castillo A, Selva-O'Callaghan A, Callejas-Moraga EL, Marín-Sánchez AM, et al. Novel risk factors related to cancer in scleroderma. Autoimmun Rev. (2017) 16:461–8. doi: 10.1016/j.autrev.2017.03.012

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Marie I, Lahaxe L, Benveniste O, Delavigne K, Adoue D, Mouthon L, et al. Long-term outcome of patients with polymyositis/ dermatomyositis and anti-pm-scl antibody. Br J Dermatol. (2010) 162:337–44. doi: 10.1111/j.1365-2133.2009.09484.x

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Saigusa R, Asano Y, Nakamura K, Miura S, Ichimura Y, Takahashi T, et al. Association of anti-rna polymerase iii antibody and malignancy in japanese patients with systemic sclerosis. J Dermatol. (2015) 42:524–7. doi: 10.1111/1346-8138.12827

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Lazzaroni M-G, Cavazzana I, Colombo E, Dobrota R, Hernandez J, Hesselstrand R, et al. Malignancies in patients with anti-rna polymerase iii antibodies and systemic sclerosis: Analysis of the eular scleroderma trials and research cohort and possible recommendations for screening. J Rheumatol. (2017) 44:639. doi: 10.3899/jrheum.160817

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Monfort JB, Mathian A, Amoura Z, Francès C, Barbaud A, Senet P. Cancers associated with systemic sclerosis involving anti-rna polymerase iii antibodies. Ann Dermatol Venereol. (2017) 145:33–6. doi: 10.1016/j.annder.2017.08.005

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Airo' P, Ceribelli A, Cavazzana I, Taraborelli M, Zingarelli S, Franceschini F. Malignancies in italian patients with systemic sclerosis positive for anti-rna polymerase iii antibodies. J Rheumatol. (2011) 38:1329. doi: 10.3899/jrheum.101144

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Shah AA, Xu G, Rosen A, Hummers LK, Wigley FM, Elledge SJ, et al. Brief report: Anti-rnpc-3 antibodies as a marker of cancer-associated scleroderma. Arthritis Rheumatol. (2017) 69:1306–12. doi: 10.1002/art.40065

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Bonifazi M, Tramacere I, Pomponio G, Gabrielli B, Avvedimento EV, La Vecchia C, et al. Systemic sclerosis (scleroderma) and cancer risk: Systematic review and meta-analysis of observational studies. Rheumatology. (2013) 52:143–54. doi: 10.1093/rheumatology/kes303

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Yamasaki Y, Honkanen-Scott M, Hernandez L, Ikeda K, Barker T, Bubb MR, et al. Nucleolar staining cannot be used as a screening test for the scleroderma marker anti-rna polymerase i/iii antibodies. Arthritis Rheum. (2006) 54:3051–6. doi: 10.1002/art.22043

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Wu J, Li X, Song W, Fang Y, Yu L, Liu S, et al. The roles and applications of autoantibodies in progression, diagnosis, treatment and prognosis of human malignant tumours. Autoimmun Rev. (2017) 16:1270–81. doi: 10.1016/j.autrev.2017.10.012

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Singh G, Agarwal AK, Prosek J, Jayadev MSK, Singh A. Can killers be saviors? Lupus. (2017) 26:903–8. doi: 10.1177/0961203316688783

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Torchilin VP, Iakoubov LZ, Estrov Z. Antinuclear autoantibodies as potential antineoplastic agents. Trends Immunol. (2001) 22:424–7. doi: 10.1016/S1471-4906(01)01984-6

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Blaes F, Klotz M, Huwer H, Straub U, Kalweit G, Schimrigk K, et al. Antineural and antinuclear autoantibodies are of prognostic relevance in non-small cell lung cancer. Ann Thorac Surg. (2000) 69:254–8. doi: 10.1016/S0003-4975(99)01198-4

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Watad A, McGonagle D, Bragazzi NL, Tiosano S, Comaneshter D, Shoenfeld Y, et al. Autoantibody status in systemic sclerosis patients defines both cancer risk and survival with ana negativity in cases with concomitant cancer having a worse survival. OncoImmunology. (2019) 8:e1588084. doi: 10.1080/2162402X.2019.1588084

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Sharma P, Allison JP. The future of immune checkpoint therapy. Science. (2015) 348:56–61. doi: 10.1126/science.aaa8172

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Idel H, Bunke R, Seemayer N. [antinuclear antibodies (ana) in patients with malignant diseases: Frequency of occurrence and immunological characterization (author's transl)]. Zentralbl Bakteriol B. (1978) 167:253–61.

PubMed Abstract | Google Scholar

23. Nisihara R, Machoski MCC, Neppel A, Maestri CA, Messias-Reason I, Skare TL. Anti-nuclear antibodies in patients with breast cancer. Clin Exp Immunol. (2018) 193:178–82. doi: 10.1111/cei.13136

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Shiel WC Jr, Jason M. The diagnostic associations of patients with antinuclear antibodies referred to a community rheumatologist. J Rheumatol. (1989) 16:782–5.

PubMed Abstract | Google Scholar

25. Giat E, Ehrenfeld M, Shoenfeld Y. Cancer and autoimmune diseases. Autoimmun Rev. (2017) 16:1049–57. doi: 10.1016/j.autrev.2017.07.022

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Grisendi S, Mecucci C, Falini B, Pandolfi PP. Nucleophosmin and cancer. Nat Rev Cancer. (2006) 6:493–505. doi: 10.1038/nrc1885

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Berger CM, Gaume X, Bouvet P. The roles of nucleolin subcellular localization in cancer. Biochimie. (2015) 113:78–85. doi: 10.1016/j.biochi.2015.03.023

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Zaenker P, Gray ES, Ziman MR. Autoantibody production in cancer–the humoral immune response toward autologous antigens in cancer patients. Autoimmun Rev. (2016) 15:477–83. doi: 10.1016/j.autrev.2016.01.017

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Moinzadeh P, Fonseca C, Hellmich M, Shah AA, Chighizola C, Denton CP, et al. Association of anti-rna polymerase iii autoantibodies and cancer in scleroderma. Arthritis Res Ther. (2014) 16:R53–R. doi: 10.1186/ar4486

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Cabrera CM, Urra JM. Serolgical profile and clinical features of nucleolar antinuclear pattern in patients with systemic lupus erythematosus from southwestern spain. Lupus. (2016). 25:980–7. doi: 10.1177/0961203316629557

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Fernández-Madrid F, VandeVord PJ, Yang X, Karvonen RL, Simpson PM, Kraut MJ, et al. Antinuclear antibodies as potential markers of lung cancer. Clin Cancer Res. (1999) 5:1393.

PubMed Abstract | Google Scholar

32. Van Eenennaam H, Vogelzangs JHP, Bisschops L, Te Boome LCJ, Seelig HP, Renz M, et al. Autoantibodies against small nucleolar ribonucleoprotein complexes and their clinical associations. Clin Exp Immunol. (2002) 130:532–40. doi: 10.1046/j.1365-2249.2002.01991.x

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Shah AA, Rosen A, Hummers L, Wigley F, Casciola-Rosen L. Close temporal relationship between onset of cancer and scleroderma in patients with rna polymerase i/iii antibodies. Arthritis Rheum. (2010) 62:2787–95. doi: 10.1002/art.27549

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Honma M, Komatsu S, Igawa S, Murakami M, Iizuka H. Rapidly progressive systemic sclerosis associated with breast carcinoma: Report of a case with anti-rna polymerase iii antibody. J Dermatol. (2012) 39:574–6. doi: 10.1111/j.1346-8138.2011.01345.x

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Andrade LEC, Klotz W, Herold M, Conrad K, Ronnelid J, Fritzler MJ, et al. International consensus on antinuclear antibody patterns: Definition of the ac-29 pattern associated with antibodies to DNA topoisomerase i. Clin Chem Lab Med. (2018) 56:1783–8. doi: 10.1515/cclm-2018-0188

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Basu A, Sanchez TW, Casiano CA. Dfs70/ledgfp75: An enigmatic autoantigen at the interface between autoimmunity, aids, and cancer. Front Immunol. (2015) 6:116. doi: 10.3389/fimmu.2015.00116

PubMed Abstract | CrossRef Full Text | Google Scholar