Abstract
Background
Mutations in the TP53 (Tumour Protein 53) gene can lead to expression of mutant p53 proteins that accumulate in cancer cells and can induce circulating p53 antibodies in cancer patients. Our aim was to evaluate the presence and prognostic role of these antibodies in lung cancer patients and to investigate whether they were related to p53 expression or TP53 mutations in tumour tissues.
Methods
A total of 201 lung cancer patients were evaluated for p53 antibodies by ELISA (Enzyme-Linked Immunosorbent Assay) and control was obtained from 54 patients with non-malignant disorders; p53 expression was evaluated in 131 of the lung cancer patients by immunohistochemistry and TP53 mutations were then investigated in 53 tumours positively staining for p53 and in 12 tumours without p53 overexpression, whose DNA was available for direct sequencing.
Results
Our results show that 20.4% of cancer patients have positive levels of p53 antibodies, while none of the controls resulted positive. High levels of p53 expression are detected in 57.3% of cases and a significant correlation between serum p53 antibodies and high levels of p53 expression in the corresponding tumours is observed. In non-small cell lung cancer, p53 antibodies are significantly associated with poorly differentiated tumours; furthermore, high levels of p53 expression significantly correlated with squamous cell carcinoma and tumours with highest grade. Survival time of non-small cell lung cancer patients low/negative for serum p53 antibodies was significantly longer compared to patients with positive levels (p = 0.049); in particular, patients with squamous cell carcinoma, but not adenocarcinoma, low/negative for these antibodies show a significant better survival compared to serum-positive patients (p = 0.044).
Conclusions
In our study, detection of serum p53 antibodies in non-small cell lung cancer patients has been shown to be useful in identifying subsets of patients with poor prognosis. A significant correlation between the presence of serum p53 antibodies in lung cancer patients and p53 overexpression in the corresponding tumours was also observed. We did not find a significant correlation between levels of serum p53 antibodies and TP53 mutations in the corresponding tumours.
Keywords: Lung cancer, Prognosis, TP53 Gene mutations, p53 Protein expression, Serum p53 antibodies
Background
Lung cancer represents the most common cancer in developed countries and the leading cause of tumour death in the world [1]. Usually, lung cancer does not show symptoms in early stages and most patients are diagnosed in advanced stages, when they are inoperable; therefore, the search for reliable diagnostic or prognostic biomarkers may be of remarkable clinical importance. The tumour suppressor p53 is involved in cell growth regulation, cell cycle progression, DNA repair and apoptosis; mutations in the TP53 gene, the most common genetic alterations in human cancers, can lead to production of dysfunctional p53 proteins that may allow the survival of genetically unstable cells that can turn into malignant cells [2]. Mutant p53 proteins show a longer half-life than wild-type p53, resulting in accumulation in cancer cells; p53 overexpression can in turn induce circulating p53 antibodies (p53Abs) in patients bearing various types of cancer, including lung cancer, presumably because the altered conformation of p53 produced by mutations may trigger an autoimmune response once the protein has been released from tumour cells [3]. There is a close correlation between serum p53Abs and p53 overexpression in tumour tissues, thus p53Abs can be considered as markers for the presence of TP53 mutations [4]. In lung cancer, TP53 mutations arise early and p53 overexpression was detected in pre-neoplastic lesions, such as bronchial dysplasia. In addition, serum p53Abs were found in heavy smokers several months before the diagnosis of lung cancer [5].
In a systematic review of published studies, the frequency of serum p53Abs in most of cancer patients resulted higher than in healthy and benign controls; therefore, detection of serum p53Abs may have potential diagnostic value for different types of cancer, including lung cancer [6]. However, another meta-analysis suggested that the low sensitivity of serum p53Abs limited their use in the screening of lung cancer [7]. A combination of serum p53Abs with other conventional markers increased the sensitivity and specificity for detecting lung cancer [8]. Serum p53Abs may be useful also for predicting chemosensitivity in lung cancer: actually, serum p53Ab levels significantly decreased after neoadjuvant chemotherapy and low levels of serum p53Abs before neoadjuvant chemotherapy correlated with high objective chemoresponse rate [9].
Prognostic implications in lung cancer of p53Abs are controversial: in non-small cell lung cancer (NSCLC), p53Abs were found to be related to short survival, but some studies showed the absence of correlation; in small cell lung cancer (SCLC), either a better survival in patients with high levels of p53Abs or a shorter survival in p53Ab positive patients with limited disease, as well as lack of prognostic relevance have been observed [10]. The reported differences in prognostic correlations may be partially due to the different sensitivity and reactivity of the methods employed or to the peculiar characteristics of each investigated population.
Furthermore, as results of most studies are limited to the prognostic role of serum p53Abs, the aim of our work was not only to determine serum p53Abs in lung cancer patients and evaluate their prognostic role, but also to examine whether these antibodies were associated with p53 protein expression or mutations in corresponding tumour tissues, as p53 overexpression is believed to be an important trigger for the production of serum p53Abs. For these purposes, we simultaneously determined in lung cancer patients serum p53Abs by a highly specific ELISA, p53 protein expression by immunohistochemistry (IHC) and TP53 gene mutations by direct sequencing of exons 2–11, in corresponding tumours.
Methods
Patients
A total of 255 patients were evaluated (Table 1). Of these patients, 201 had histologically diagnosed primary lung cancer: 13 patients had SCLC and 188 patients had NSCLC. Control was obtained from 54 patients with benign lung diseases or disorders not related to respiratory diseases. All patients were enrolled at the Thoracic Surgery Unit of the Regina Elena National Cancer Institute, Rome, Italy, between June 2004 and August 2006.
Table 1.
Patient characteristics
| Lung cancer patients | Controls | |
|---|---|---|
| Age (years) | ||
| ≤60 | 47 (23.4%) | 27 (50.0%) |
| >60 | 154 (76.6%) | 27 (50.0%) |
| Total | 201 | 54 |
| Sex | ||
| Male | 157 (78.1%) | 27 (50.0%) |
| Female | 44 (21.9%) | 27 (50.0%) |
| Total | 201 | 54 |
| Histological type | ||
| NSCLC | ||
| Adenocarcinoma | 79 (39.3%) | |
| Squamous cell carcinoma | 70 (34.8%) | |
| Bronchioloalveolar carcinoma | 6 (3.0%) | |
| Large cell carcinoma | 5 (2.5%) | |
| Anaplastic carcinoma | 19 (9.4%) | |
| Mixed carcinoma | 9 (4.5%) | |
| SCLC | 13 (6.5%) | |
| Total | 201 | |
| NSCLC stage | ||
| I | 68 (36.2%) | |
| II | 24 (12.8%) | |
| III | 40 (21.3%) | |
| IV | 45 (23.9%) | |
| Missing | 11 (5.9%) | |
| Total | 188 | |
| NSCLC grade | ||
| G1 | 4 (2.1%) | |
| G2 | 57 (30.3%) | |
| G3 | 72 (38.3%) | |
| Missing | 55 (29.3%) | |
| Total | 188 |
NSCLC was pathologically staged according to the TNM (tumour-nodes-metastasis) classification (Union International Contre le Cancer 2002): stage IA (n. 32); stage IB (n. 36); stage IIA (n. 1); stage IIB (n. 23); stage IIIA (n. 32); stage IIIB (n. 8); stage IV (n. 45). Most patients with I to IIIA stages underwent surgery for their primary tumours at the Thoracic Surgery Unit of the Regina Elena National Cancer Institute, Rome, Italy, while most patients with stages IIIB and IV had chemotherapy. Radiotherapy was added if necessary. NSCLC grade was expressed as G parameter, universally accepted as a pathological descriptor for cancer: the more the tumour sections resemble the original normal tissue, when observed by pathologist, the lower the grade, ranging from G1 (well differentiated) to G3 (poorly differentiated), being G2 an intermediated form (moderately differentiated).
The study was approved by the Ethical Committee on human experimentation of the promoting institution, Regina Elena National Cancer Institute, Rome, Italy. All participants in the study gave their written informed consent. The lung cancer patients were followed until October 2009.
Serum p53Ab assay
Serum samples were obtained from patients at the time of diagnosis. All samples were aliquoted, coded, and stored at −80°C until assays were performed. p53Abs were detected by a commercially available, highly specific ELISA kit (Anti-p53 ELISA II kit, PharmaCell, Paris, France), using micro-titre plates coated either with human recombinant p53 protein to detect specific p53Abs or with control proteins to reveal non-specific interactions. The assay was performed according to the manufacturer’s instructions. All samples were tested blindly, twice in the same assay. Absorbance was measured at 450 nm and 620 nm, using a programmable ELISA reader. p53Ab levels ≥1.2 units/ml were considered as positive, according to the manufacturer’s suggestion; this cut-off was in agreement with other studies [11]. p53Ab levels <1.2 units/ml were considered as low/negative.
p53 protein expression
p53 immunostaining was performed by using the monoclonal antibody D07 (Novocastra, Menarini, Florence, Italy). Immunoreactions were revealed by a streptavidin-biotin enhanced immunoperoxidase technique (Super Sensitive MultiLink, Menarini) in an automated autostainer (Vysion Biosystems Bond; Menarini, Florence, Italy). Diaminobenzidine was used as the chromogenic substrate. Tumour samples with >10% of tumour cells showing positive nuclear staining were considered as positive (Figure 1).
Figure 1.
Immunohistochemistry of p53 in a lung adenocarcinoma. A) p53 positive: strong p53 immunoreactivity of the nuclei. B) p53 negative: no p53 nuclear staining. Magnification ×20.
Genomic DNA extraction, PCR (Polymerase Chain Reaction) amplification of the TP53 exons 2–11, and mutational analysis by direct sequencing
DNA extraction from formalin-fixed paraffin-embedded (FFPE) tissue samples on histological sections was performed. For microdissection, appropriate tissue blocks were selected and multiple serial sections were stained with haematoxylin and eosin, and visualized with an inverted microscope. Under an operating microscope, tumour epithelium tissues were dissected from the corresponding unstained 10-μm sections by using a sterilized needle. These tissues were collected, deparaffinised and digested with proteinase K overnight in lysis buffer, before DNA isolation with the QIAamp DNA FFPE Tissue Kit (QIAGEN, USA). DNA was eluted in a volume of 50–150 μl of water. DNA concentrations were measured by Nanodrop and the amount of isolated DNA ranged from 50–300 ng/μl. About 50–100 ng of genomic DNA was used for eleven PCR reactions to amplify the regions of the TP53 exons 2–11. Primers were designed to amplify these DNA regions (Table 2). All PCR reactions were in a volume of 20 μl containing 8 pmol of each primer, 0.20 mM each dNTP, 1-X of Kapa Taq Buffer A with MgCl2, 0.25 units of Kapa Taq (Kapa Biosystems, South Africa), and the appropriate volume of H2O. Thermocycle PCR protocol was performed as follows: 2 minutes at 95°C, 35–40 cycles at 95°C for 30 seconds, 58°C for 30 seconds, and 72°C for 30 seconds, followed by 72°C for 2 minutes. PCR amplicons obtained from DNA were purified by gel filtration with Sephadex G-100 (GE Healthcare, USA). About 15–30 ng of PCR products were sequenced directly by using the Big Dye V3.1 Cycle-Sequencing kit (Applied Biosystems, USA) with proper primers (Table 2). After sequencing reaction, the entire reactions of every mixture were purified by gel filtration with Sephadex G-50 (GE Healthcare, USA) and analyzed by 3730 DNA Analyzer (Applied Biosystems, USA).
Table 2.
Primers for TP53 exon 2–11 amplification and sequencing analysis
| TP53 exon 2 | Fw | 5′ GGTTGGAAGTGTCTCATGC 3′ |
| Rv | 5′ TTCGCTTCCCACAGGTCTC 3′* | |
| TP53 exon 3 | Fw | 5′ AGAGACCTGTGGGAAGCGA 3′* |
| Rv | 5′ GCAGTCAGAGGACCAGGT 3′ | |
| TP53 exon 4a | Fw | 5′ TGGTCCTCTGACTGCTCTT 3′ |
| Rv | 5′ AAGAAGCCCAGACGGAAACC 3′* | |
| TP53 exon 4b | Fw | 5′ AGCTCCCAGAATGCCAGAG 3′* |
| Rv | 5′ CAGGCATTGAAGTCTCATGG 3′ | |
| TP53 exon 5 | Fw | 5′GCCCTGACTTTCAACTCTG 3′ |
| Rv | 5′ GGCAACCAGCCCTGTCGT 3′* | |
| TP53 exon 6 | Fw | 5′ CAGGCCTCTGATTCCTCAC 3′ |
| Rv | 5′ CTACTGCTCACCTGGAGG 3′* | |
| TP53 exon 7 | Fw | 5′ CTTGGGCCTGTGTTATCTC 3′ |
| Rv | 5′AAATCGGTAAGAGGTGGGC 3′* | |
| TP53 exon 8 | Fw | 5′ ACAAGGGTGGTTGGGAGTAG 3′* |
| Rv | 5′ CCTCCACCGCTTCTTGTCC 3′ | |
| TP53 exon 9 | Fw | 5′CAAGAAGCGGTGGAGGAGA 3′* |
| Rv | 5′ TCCACTTGATAAGAGGTCCCA 3′ | |
| TP53 exon 10 | Fw | 5′ CCATCTTTTAACTCAGGTACTG 3′ |
| Rv | 5′TGAAGGCAGGATGAGAATGG 3′* | |
| TP53 exon 11 | Fw | 5′CACAGACCCTCTCACTCAT 3′ |
| Rv | 5′TCCTGGGTGCTTCTGACG 3′* |
*Primers used for sequencing; Fw, forward; Rv, reverse.
Statistical analysis
All statistical analyses were performed by using R [12]. For all measured endpoints, all times were calculated after primary diagnosis of lung cancer and patients were censored at the time of the specific event. Actuarial curves of the length of time until the death were calculated by the Kaplan and Meier product-limit method. The comparison of the actuarial curves was evaluated by the log-rank test. Tests for statistical significance were performed with the chi-square and t-test for categorical and continuous variables, respectively. Multivariate analysis of prognostic factors was performed using the Cox proportional hazard model. In both univariate and multivariate analysis, p-values of <0.05 were considered statistically significant.
Results
Serum p53Abs in lung cancer patients
Sera from 201 patients with primary lung carcinoma were evaluated for the presence of p53Abs using a highly specific ELISA kit. Our results demonstrated that 20.4% of lung cancer patients (41 out of 201) had positive levels of serum p53Abs, while none of the 54 controls resulted positive (Table 3). Our results agree with data from other studies on lung carcinoma where the frequency of p53Abs in serum ranged from 18.8% to 32.1% of the patients [13,14]. In particular, 36 out of 188 NSCLC patients (19.1%) and 5 out of 13 SCLC patients (38.5%) were positive for serum p53Abs.
Table 3.
Serum p53Abs in lung cancer patients and controls, p53 content in lung cancer tissues
| No. of cases | No. of positive | No. of low/negative | |
|---|---|---|---|
| Lung cancer sera | 201 | 41a (20.4%) | 160a (79.6%) |
| Control sera | 54 | 0a | 54a |
| Lung cancer tissues | 131 | 75b (57.3%) | 56b (42.7%) |
ap53Ab, bp53 protein expression.
Serum p53Abs and p53 tumour expression
High levels of p53 tumour expression were demonstrated in 75 out of 131 lung cancer patients (57.3%), for whom tumour tissues were available (Table 3). Among these patients, 19 (16 NSCLC and 3 SCLC) out of 22 positive for serum p53Abs resulted also positive for p53 tumour overexpression (86.4%), while 56 (53 NSCLC and 3 SCLC) out of 109 low/negative for serum p53Abs were positive for p53 tumour overexpression (51.4%). A significant correlation (p = 0.005) between positive levels of circulating p53Abs and high levels of p53 expression in the corresponding tumours was observed (Table 4).
Table 4.
Relationship between serum p53Abs and p53 tumour staining in lung cancer patients
| p53 tumour staining | No. of p53Ab-positive | No. of p53Ab- low/negative | p-value |
|---|---|---|---|
| Positive | 19 (86.4%) | 56 (51.4%) | 0.005 |
| Negative | 3 (13.6%) | 53 (48.6%) |
Serum p53Abs, p53 tumour expression and clinicopathologic parameters
The relationships among levels of p53Abs or p53 accumulation and clinical or tumour biological parameters of lung cancer patients were evaluated. No difference was found with regard to age and sex. By histological types, positive levels of p53Abs were more frequently found in patients with squamous cell carcinoma than adenocarcinoma (p = 0.068), while the numbers of other subgroups were too few to draw meaningful conclusions (Table 5). In NSCLC, there was a difference of borderline significance (p = 0.054) in the incidence of p53Abs between stage I and the more advanced stages II-IV. Finally, in NSCLC the presence of p53Abs was significantly correlated with tumours showing poorly differentiated grade (p = 0.016). Furthermore, a significant correlation between high levels of p53 protein expression and squamous cell carcinoma compared to adenocarcinoma was observed (p = 0.008), while no difference was found with regard to NSCLC stage (Table 6); p53 overexpression was also significantly associated with NSCLC of highest grade (p = 0.012).
Table 5.
Correlation between serum p53Abs and clinicopathologic features
| No. of cases | No. of p53Ab-positive | |
|---|---|---|
| Age (years) | ||
| ≤60 | 47 | 11 (23.4%) |
| >60 | 154 | 30 (19.5%) |
| Sex | ||
| Male | 157 | 29 (18.5%) |
| Female | 44 | 12 (27.3%) |
| Histological type | ||
| NSCLC | ||
| Adenocarcinoma | 79 | 10 (12.7%) |
| Squamous cell carcinoma | 70 | 18 (25.7%) |
| Bronchioloalveolar carcinoma | 6 | 0 (0%) |
| Large cell carcinoma | 5 | 1 (20.0%) |
| Anaplastic carcinoma | 19 | 5 (26.3%) |
| Mixed carcinoma | 9 | 2 (22.2%) |
| SCLC | 13 | 5 (38.5%) |
| NSCLC stage | ||
| I | 68 | 7 (10.3%) |
| II | 24 | 7 (29.2%) |
| III | 40 | 9 (22.5%) |
| IV | 45 | 9 (20.0%) |
| Missing | 11 | 4 (36.4%) |
| Total | 188 | 36 (19.1%) |
| II-IV | 109 | 25 (22.9%) |
| NSCLC grade | ||
| G1 | 4 | 0 (0%) |
| G2 | 57 | 4 (7.0%) |
| G3 | 72 | 18 (25.0%) |
| Missing | 55 | 14 (25.5%) |
| Total | 188 | 36 (19.1%) |
Table 6.
Relationship between p53 overexpression and clinicopathologic parameters
| No. of cases | No. of patients with p53 overexpression | |
|---|---|---|
| Age (years) | ||
| ≤60 | 27 | 16 (59.3%) |
| >60 | 104 | 59 (56.7%) |
| Total | 131 | 75 (57.3%) |
| Sex | ||
| Male | 101 | 57 (56.4%) |
| Female | 30 | 18 (60.0%) |
| Total | 131 | 75 (57.3%) |
| Histological type | ||
| NSCLC | ||
| Adenocarcinoma | 59 | 26 (44.1%) |
| Squamous cell carcinoma | 46 | 33 (71.7%) |
| Bronchioloalveolar carcinoma | 5 | 1 (20.0%) |
| Large cell carcinoma | 4 | 4 (100%) |
| Anaplastic carcinoma | 4 | 4 (100%) |
| Mixed carcinoma | 5 | 1 (20.0%) |
| SCLC | 8 | 6 (75.0%) |
| Total | 131 | 75 (57.3%) |
| NSCLC stage | ||
| I | 62 | 35 (56.4%) |
| II | 17 | 9 (52.9%) |
| III | 22 | 15 (68.2%) |
| IV | 18 | 8 (44.4%) |
| Missing | 4 | 2 (50.0%) |
| Total | 123 | 69 (56.1%) |
| NSCLC grade | ||
| G1 | 3 | 1 (33.3%) |
| G2 | 53 | 21 (39.6%) |
| G3 | 60 | 40 (66.7%) |
| Missing | 7 | 7 (100%) |
| Total | 123 | 69 (56.1%) |
TP53 gene mutations and clinicopathologic features
From the 75 tumours positively staining for p53 protein, only 53 had enough tumour tissue to be investigated for TP53 gene mutations in exons 2–11. Of these 53 tumour samples, 13 (all NSCLC, 24.5%) showed TP53 mutations (9 missense mutations and 4 deletions), while 40 (39 NSCLC and 1 SCLC, 75.5%) showed no mutation; the median rate of tumour cells with p53 overexpression in tumours with mutations was 60%, while in tumours without mutations was 40% (p = 0.04). Mutational analysis was also performed in 12 patients without p53 protein overexpression by IHC (all NSCLC), whose DNA was available for direct sequencing; in this group, compatible with p53 negative staining, we found 9 patients with wild-type p53 and 3 patients with p53 deletions (Figure 2).
Figure 2.
Overlap between p53Ab-positivity, p53 expression andTP53mutation in lung cancer patients (n = 65). * Percentage of tumour cells showing p53 staining.
The most frequent region of mutation was exon 5 (6/16), followed by exon 8 (5/16), exon 4 and exon 2 (2/16); only one mutation was found in exon 6 (Table 7). Of the 16 mutations, 9 (56.2%) were missense mutations and 7 (43.7%) were deletions; 5 out of 9 point mutations (55.6%) were base pair transversions (G = > T 4/9, G = > C 1/9), while 4 (44.4%) were transitions (C = > T). The same mutation p.Pro12Leu was found in exon 2 in two patients; according to both the IARC (International Agency for Research on Cancer) TP53 mutational database and UMD (Universal Mutation Database) TP53 mutation database, this mutation is functional in yeast but extremely rare. Thus, to verify its presence in two different patients, we performed two independent DNA purifications, PCR reactions, and direct sequences for each biopsy. The results confirmed the presence of the same mutation in the two patients, suggesting that its rarity might be due, at least in part, to the fact that many studies are limited to exons 5–9, where TP53 mutations are more frequent.
Table 7.
Details of lung cancer patients with TP53 mutations in their tumours
| Patient number | Sex | Age | Histology* | TNM | G§ | p53Abs | IHC | Exon | Codon | Nucleic acid change | Aminoacid change |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 8 | M | 70 | SCC | IB | 3 | N& | P# | 2 | 12 | c.35C > T | Pro12Leu |
| 4 | M | 70 | ADC | IB | 3 | P | P | 2 | 12 | c.35C > T | Pro12Leu |
| 54 | M | 59 | ADC | IIB | 3 | N | N | 4 | 66-81 | c.196_241del46 | Frameshift |
| 1 | M | 72 | SCC | IA | 3 | N | P | 4 | 110 | c.329G > T | Arg110Leu |
| 55 | M | 77 | SCC | IA | 3 | N | N | 5 | 152 | c.456delG | Frameshift |
| 10 | F | 55 | SCC | IIB | 3 | N | P | 5 | 154 | c.460_474del15 | Frameshift |
| 2 | M | 65 | LCC | IB | 3 | N | P | 5 | 157 | c.469G > T | Val157Phe |
| 5 | M | 41 | APC | IIB | 3 | P | P | 5 | 158 | c.473G > T | Arg158Leu |
| 3 | M | 76 | SCC | IIB | 3 | N | P | 5 | 159 | c.475G > C | Ala159Pro |
| 7 | M | 73 | SCC | IB | 2 | N | P | 5 | 167 | c.501G > T | Gln167His |
| 11 | F | 68 | ADC | IB | 2 | N | P | 6 | 199-200 | c.596_598delGAA | Frameshift |
| 56 | M | 70 | ADC | IA | 2 | N | N | 8 | 269 | c.807delC | Frameshift |
| 6 | F | 82 | ADC | IIB | 2 | P | P | 8 | 273 | c.817C > T | Arg273Cys |
| 9 | M | 50 | ADC | IB | 3 | N | P | 8 | 282 | c.844C > T | Arg282Trp |
| 12 | F | 70 | SCC | IB | 2 | N | P | 8 | 288 | c.862delA | Frameshift |
| 13 | M | 79 | SCC | IIB | 3 | N | P | 8 | 288 | c.862delA | Frameshift |
*SCC, squamous cell carcinoma; ADC, adenocarcinoma; APC, anaplastic carcinoma; LCC, large cell carcinoma. §Grade; &Low/Negative, #Positive.
In our cohort, TP53 mutations were more frequently associated with NSCLC of highest grade, although the difference did not reach a statistical significance, likely due to the small size of the sample. Other clinicopathologic features, such as age and sex of patients, histological type of tumours and NSCLC stage were not significantly correlated with TP53 mutations (Table 8).
Table 8.
Comparison of TP53 mutations and clinicopathologic features
| No. of cases | No. of patients with TP53 mutations | |
|---|---|---|
| Age (years) | ||
| ≤60 | 12 | 4 (33.3%) |
| >60 | 53 | 12 (22.7%) |
| Total | 65 | 16 (24.6%) |
| Sex | ||
| Male | 51 | 12 (23.5%) |
| Female | 14 | 4 (28.6%) |
| Total | 65 | 16 (24.6%) |
| Histologic type | ||
| NSCLC | ||
| Adenocarcinoma | 27 | 6 (22.2%) |
| Squamous cell carcinoma | 27 | 8 (29.6%) |
| Bronchioloalveolar carcinoma | 2 | 0 (0%) |
| Large cell carcinoma | 4 | 1 (25.0%) |
| Anaplastic carcinoma | 2 | 1 (50.0%) |
| Mixed carcinoma | 2 | 0 (0%) |
| SCLC | 1 | 0 (0%) |
| Total | 65 | 16 (24.6%) |
| NSCLC stage | ||
| I | 41 | 10 (24.4%) |
| II | 9 | 6 (66.7%) |
| III | 10 | 0 (0%) |
| IV | 4 | 0 (0%) |
| Total | 64 | 16 (25.0%) |
| NSCLC grade | ||
| G1-G2 | 28 | 5 (17.9%) |
| G3 | 35 | 11 (31.4%) |
| Missing | 1 | 0 (0%) |
| Total | 64 | 16 (25.0%) |
Serum p53Abs and TP53 gene mutations
The corresponding sera of the 53 patients with tumours positively staining for p53 protein, investigated for TP53 mutations, were available. Eleven of these patients (all with NSCLC) were positive for serum p53Abs (20.8%) and three showed missense mutations in the corresponding tumours (27.3%), while ten patients (all with NSCLC) out of the 42 with low/negative-serum (41 with NSCLC and 1 with SCLC) had missense mutations or deletions in their tumours (23.8%). The sera of the 12 patients without p53 protein overexpression, whose DNA was available for TP53 mutational analysis, were all low/negative for serum p53Abs (Figure 2). In our limited cohort, there was not a statistically significant association between serum p53Abs and the presence of TP53 mutations in the corresponding tumours.
Serum p53Abs and clinical outcome
We then considered the correlation between the presence of p53Abs in the serum and survival. The overall survival time of patients with p53Ab-low/negative-serum and NSCLC was significantly longer compared to serum-positive patients (p = 0.049); the rates of survival at 30 months were 54% versus 31% in patients with low/negative or positive-serum, respectively (Figure 3). In particular, patients with squamous cell carcinoma and p53Ab-low/negative-serum showed a statistically significant advantage in survival rate at 30 months compared to serum-positive patients, 57% versus 18% respectively (p = 0.044, Figure 4), while no difference was observed in patients with adenocarcinoma (Figure 5); similarly, no difference was found with regard to stage or grade. In this study, there was no correlation between p53 overexpression or TP53 mutations in NSCLC and survival.
Figure 3.
Survival curves of NSCLC patients with p53Ab-positive or p53Ab-low/negative- serum. Survival curves of NSCLC patients with p53Ab-positive-serum (dotted line, n = 36) or p53Ab-low/negative-serum (unbroken line, n = 152). Patients with p53Ab-low/negative-serum had a significantly longer overall survival than those with p53Ab-positive-serum (p = 0.049).
Figure 4.
Survival curves of squamous cell carcinoma patients with p53Ab-positive or p53Ab-low/negative-serum. Survival curves of patients with squamous cell carcinoma of the lung with p53Ab-positive-serum (dotted line, n = 18) or p53Ab-low/negative-serum (unbroken line, n = 52). Patients with p53Ab-low/negative-serum showed a significantly longer overall survival than those with p53Ab-positive- serum (p = 0.044).
Figure 5.
Survival curves of adenocarcinoma patients with p53Ab-positive or p53Ab-low/negative-serum. Survival curves of patients with adenocarcinoma of the lung with p53Ab-positive-serum (dotted line, n = 10) or p53Ab-low/negative-serum (unbroken line, n = 69). No difference in overall survival was observed between the two groups (p = 0.973).
Multivariate analysis comprised age (as categorical, >60 years), sex, histological type, stage, grade, and serum p53Abs. Stage emerged as an independent prognostic factor (p < 0.001), while serum p53Abs resulted an independent variable as a trend (p = 0.096).
Discussion
Our data showed that 20.4% of lung cancer patients had positive levels of serum p53Abs, while none of the controls showed positive levels of these antibodies. A significant correlation between positive levels of p53Abs and p53 overexpression in the corresponding tumours was observed (p = 0.005), suggesting that the presence of p53Abs is related to the accumulation of p53 protein in the primary tumour. In NSCLC, positive levels of p53Abs were associated with squamous cell carcinoma rather than adenocarcinoma (p = 0.068), a different frequency also previously reported [9]. In our study, p53Abs were correlated with II-IV stages compared to I stage (p = 0.054); similarly, the incidence of p53Abs was previously found higher in lung cancer patients with advanced stages III-IV compared to patients with early stages I-II [9]. We observed that the presence of p53Abs was significantly related to tumours with poorly differentiated grade (p = 0.016). In NSCLC, p53 overexpression significantly correlated with squamous cell carcinoma compared to adenocarcinoma (p = 0.008) and with tumours showing highest grade (p = 0.012). In previous studies, a statistically significant correlation between p53 overexpression and squamous cell carcinoma compared to adenocarcinoma was also reported and, in particular, Rybarova et al. found a correlation between p53 overexpression and poorly differentiated tumours in NSCLC [15,16]. Finally, we did not find a significant correlation between positive levels of serum p53Abs and TP53 mutations in the corresponding tumours, nor between TP53 mutations and clinicopathologic features, presumably due to the small number of suitable tumour samples, while a significant correlation between TP53 mutations and tumours with the highest median rate of p53 overexpression was observed within the p53 protein-positive tumour samples (p = 0.04). In particular, TP53 mutations were found in three out of 12 p53 protein-negative samples; the absence of p53 protein expression in these samples may be due to the type of mutations, as they were frameshift mutations. On the other hand, four samples with frameshift mutations showed p53 protein overexpression; in these samples, overexpression of wild-type p53 protein might be attributed to inhibition of MDM2 (Mouse Double Minute 2 homolog)-mediated degradation of p53 or activation of p14ARF (Alternate Reading Frame protein14), since p14ARF binds to MDM2, thus preventing MDM2 binding to p53 and subsequent p53 degradation [17].
In the present study, survival time of NSCLC patients low/negative for serum p53Abs was significantly longer than in positive patients (p = 0.049); moreover, patients with squamous cell carcinoma low/negative for serum p53Abs showed a significant increase in survival rate compared to positive patients (p = 0.044). Our results are in agreement with other studies, in which the presence of serum p53Abs has been associated with a poor prognosis. In a study by Mack et al., serum p53Abs were significantly correlated with a poor survival in NSCLC patients [18]. Laudanski et al. also showed a significant association between serum p53Abs and poor survival in NSCLC patients, even though in a multivariate analysis only the presence of TP53 mutations remained an independent, significant unfavourable prognostic factor for survival [15]. Bergqvist et al., in a study regarding patients with advanced NSCLC, reported a significant poor survival in patients positive for serum p53Abs with adenocarcinoma, but not in positive patients with squamous cell carcinoma [19]. Recently, Hashim et al. found that in NSCLC the levels of serum p53Abs were significantly higher in stage IV compared to stages I-III [20]. However, some groups found no correlation with survival, while others showed a longer survival in lung cancer patients positive for serum p53Abs compared to negative patients, even though the difference did not reach a statistical significance [21,22].
The mechanisms for the relationship between serum p53Abs and prognosis are unclear. Usually, these antibodies are considered as markers of TP53 mutations or p53 overexpression in tumours, thus reflecting a poor prognosis; however, the presence of serum p53Abs with a T-cell response may have a favourable impact on survival by destructing tumour cells expressing a dysfunctional p53. Serum p53Abs have been reported to be directed against both mutant and wild-type p53 proteins, where they recognize specific epitopes in the amino and carboxyl-termini, and the antigenic load due to p53 overexpression triggers the development of these antibodies [23]. However, only 20-40% of cancer patients with TP53 mutations show circulating p53Abs, suggesting that other biological characteristics may be involved in this response, such as specific combination of Major Histocompatibility Complex classes I and II molecules expressed by each patient [3]. These observations may in part explain the reported differences in prognostic correlations of serum p53Abs.
Finally, in our study we did not find any significant correlation between p53 overexpression or TP53 mutations and survival in NSCLC, likely because of the reduced number of suitable tumour samples compared to serum samples. In some studies, p53 accumulation and TP53 mutations have been reported as markers of poor survival in NSCLC. Laudanski et al. showed that TP53 mutations and p53 overexpression were significantly correlated with poor survival in NSCLC; however, in a multivariate analysis, only the presence of TP53 mutations remained an independent, significant unfavourable prognostic factor for survival [15]. Tsao et al. found that patients with NSCLC overexpressing p53 showed significant shorter survival compared to patients with p53-negative tumours, while TP53 mutations were not prognostic for survival [24]. However, other groups reported no correlation between p53 accumulation and survival in NSCLC or a not clear role for TP53 mutations as a prognostic marker for survival in NSCLC [25,26].
Conclusions
In our investigation the presence of serum p53Abs, but not p53 tumour overexpression or TP53 mutations, identifies subsets of NSCLC patients with a shorter survival. Furthermore, positive levels of p53Abs were significantly correlated with p53 overexpression in the corresponding tumours, suggesting that the production of these antibodies may be related to the accumulation of p53 protein in the primary tumour. We were unable to find any significant correlation between positive levels of serum p53Abs and TP53 mutations in the corresponding tumours.
Acknowledgments
The authors thank Beatrice Casini, Marco Varmi and Mustapha Haoui for their skilful and technical work.
Abbreviations
- TP53
Tumour protein 53
- ELISA
Enzyme-linked immunosorbent assay
- p53Abs
p53 Antibodies
- NSCLC
Non-small cell lung cancer
- SCLC
Small cell lung cancer
- IHC
Immunohistochemistry
- TNM
Tumour-nodes-metastasis
- PCR
Polymerase chain reaction
- FFPE
Formalin-fixed paraffin-embedded
- IARC
International agency for research on cancer
- UMD
Universal mutation database
- MDM2
Mouse double minute 2 homolog
- p14ARF
Alternate reading frame protein 14
Footnotes
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
MM participated in the study design, carried out the immunoassays and drafted the manuscript; SS participated in the study design and helped to draft the manuscript; AP carried out the molecular genetic studies; PV carried out the immunohistochemistry; SC performed gene amplification and sequencing; GA participated in clinical data collection and interpretation; FF participated in clinical data collection and interpretation; LS performed the statistical analysis and helped to draft the manuscript. All authors read and approved the final manuscript.
Contributor Information
Manlio Mattioni, Email: mattioni@ifo.it.
Silvia Soddu, Email: soddu@ifo.it.
Andrea Prodosmo, Email: prodosmo@ifo.it.
Paolo Visca, Email: visca@ifo.it.
Salvatore Conti, Email: contisalva1@libero.it.
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Francesco Facciolo, Email: facciolo@ifo.it.
Lidia Strigari, Email: strigari@ifo.it.
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