Literature DB >> 31521181

Low ERCC1 expression is a good predictive marker in lung adenocarcinoma patients receiving chemotherapy based on platinum in all TNM stages - a single-center study.

Marina Piljić Burazer1, Suzana Mladinov2, Antonela Matana3, Sendi Kuret4, Joško Bezić4, Merica Glavina Durdov4.   

Abstract

BACKGROUND: High ERCC1 expression is thought to be related with resistance to chemotherapy based on platinum. The aim of this study was to present our institutional observations regarding to the association of ERCC1 and overall survival (OS) of the lung adenocarcinoma patients who received chemotherapy based on platinum. MATERIAL/
METHODS: A total of 253 lung adenocarcinoma patients in all TNM stages were retrospectively investigated. The diagnosis was based on small biopsy samples obtained during bronchoscopy. Depending on the TNM stage of the disease and clinical condition, patients received only the chemotherapy based on platinum, or in combination with radiotherapy or surgery. Tissue sample for ERCC1 immunohistochemical analysis was sufficient in 129 patients. Low from high ERCC1 expression was separated by the semi-quantitative H-score median.
RESULTS: High ERCC1 expression was found in 47.3% patients, and was correlated with higher TNM (p = 0.021), tumor enlargement (p = 0.002), positive lymph nodes (p = 0.001), positive distant metastasis (p = 0.005), and higher relative risk of death (p < 0.001). Furthermore, significance association was observed for low ERCC1 expression and better performance status (ECOG) (p = 0.023). Longer OS was strongly associated with a low ERCC1 expression, not only in the group of patients in TNM stage I-III, who were treated with combination of chemotherapy with surgery or radiotherapy (p = 0.002), but also in the group of patients in TNM stage IV who received only chemotherapy based on platinum (p < 0.001), compared with the patients in the same TNM stage and high ERCC1 expression.
CONCLUSIONS: ERCC1 expression in lung adenocarcinoma is a useful prognostic marker and moreover, a useful predictive marker in patients receiving chemotherapy based on platinum in all stages of the disease.

Entities:  

Keywords:  ERCC1; Lung adenocarcinoma; Platinum-based chemotherapy

Mesh:

Substances:

Year:  2019        PMID: 31521181      PMCID: PMC6745063          DOI: 10.1186/s13000-019-0885-2

Source DB:  PubMed          Journal:  Diagn Pathol        ISSN: 1746-1596            Impact factor:   2.644


Background

Adenocarcinoma is commonest non-small cell lung carcinoma (NSCLC), generally diagnosed in the advanced stage of the disease when it is not operable [1]. If we exclude adenocarcinomas with PD-L1 expression ≥50%, and those with ALK, EGFR and ROS mutations, the basic current care of advanced disease is chemotherapy based on platinum [2]. Drugs based on platinum form platinum-DNA adducts that obstruct cell replication and cause apoptosis. DNA damage could be repaired trough many biological processes and cause resistance to the platinum [3]. On the contrary to the immune and the molecular targeted therapies, no specific predictive marker is so fare available for platinum-based chemotherapy in lung adenocarcinoma. The best validated marker is the endonuclease excision repair cross-complementation group 1 (ERCC1), one of thirty enzymes of the nucleotide excision repair pathway. ERCC1 is the major enzyme that repairs DNA damage caused by the action of platinum, and is one of the possible factors that reduces the platinum effect [4]. The results of many studies on the significance of ERCC1 in lung adenocarcinoma are inconsistent. Previous retrospective studies and meta-analyses have correlated high ERCC1 expression with poor prognosis and platinum resistance [3, 5, 6], in a contrast to study of Booton et al. who did not find any correlation between the ERCC1 status and survival [7]. Sad et al. reported that longer survival was associated with low ERCC1 expression in lung adenocarcinoma patients who received chemotherapy based on platinum compared with those with high ERCC1 expression [8]. The same observation was presented in the study of Zhao et al. who found out that in advanced NSCLC, low ERCC1 expression indicates better prognosis and improved effectiveness for platinum-based chemotherapy [9]. In a contrary, Lee et al. concluded in a prospective ERCC1 trial (ET) that selecting chemotherapy by using a commercially available ERCC1 antibody did not prolong survival [10]. Therefore, the aim of the study was to present our single-institution experience on the importance of ERCC1 analysis in lung adenocarcinoma patients.

Material and methods

Patients characteristics

During three-year period (2013–2015), on small biopsies obtained during bronchoscopy, 253 new patients (161 males) with primary lung adenocarcinoma, median age 65 years (minimum-maximum: 44–91) were diagnosed at the Institute of Pathology, Forensic Medicine and Cytology, Clinical Hospital Center Split, Croatia. Clinical data of the patients were available at the Pulmonology Department. Clinical staging of the lung adenocarcinoma according to the 8th TNM staging system was determined by imaging radiologic techniques [11]. Patients received only chemotherapy based on platinum, or combined with surgery or radiotherapy depending on the TNM stage and clinical condition. Symptomatically treated patients and those treated only by surgery were not included in the study. All patients in our study had ALK and EGFR analysis of tumor tissue (ALK expression by IHC and EGFR mutation by PCR). These patients were also treated with platinum-based therapy, because in time when we conducted the study, tyrosine kinase inhibitor (TKI) therapy was not yet approved in Croatia. ROS analysis was not performed because it was introduced in routine practice in the March 2019. Survival was followed-up during period of 53 months, starting from the time of diagnosis till the time of death or May 2017. From the Registry of Mortality death data were obtained. This study was approved by Ethics Committee of the Hospital (500–03/15/01/42).

Immunohistochemistry

From the archive of the Institute of Pathology, Forensic Medicine and Cytology the paraffin blocks of tumor tissue were obtained, and sectioned at 5 μm thickness. The expression of ERCC1 in the nucleus of tumor cells was performed using mouse monoclonal primary antibody, ready to use (4F9) (DACO, Glostrup, Denmark), stained on automatic stainer GX BenchMark (Ventana, Tuscon, Arizona) and visualised with Ventana DAB Detection kit iVieW (Ventana, Tuscon, Arizona). Tissue sample for ERCC1 immunohistochemical analysis was sufficient in 129 (50.7%) patients and interpretation of ERCC1 expression was performed according to Olaussen et al. [12]. Briefly, intensity of positive nuclear reaction (from 0 to 3) was multiplied by the percentage of positive cells (0 if =0%, 0.1 if 1–9%, 0.5 if 10–49%, and 1.0 if ≥50%) to obtain a semi-quantitative H score. The median of H scores was chosen for separating low from high levels of ERCC1 expression. Positive internal control was respiratory epithelium i.e. staining intensity 2. Olympus microscope BX 51 (Olympus, Tokyo, Japan) was used for analysis of ERCC1 expression at magnification of 400x by three independent pathologists who were blinded to all patients’ characteristics and survival status.

Statistical analysis

The SPSS software 19 for Windows (Chicago, Illinois, USA) was used for statistical analysis and p < 0.05 was considered statistically significant for all tests. The differences between the categorical characteristics were calculated by the χ2 test. The numerical characteristics were analysed by the Kruskal-Wallis test and the Mann-Whitney test. Factors associated with overall survival were evaluated by logistic regression and Cox univariate and multivariate analyses. Kaplan-Meier method was used to calculate survival curves, and log-rank test to evaluate differences between them.

Results

Patients characteristics and ERCC1 status

Among 253 patients, 161 (63.6%) were males, 96 (86.5%) were smokers, 163 (69%) with TNM stage IV disease and a median age of 65 years (minimum-maximum: 44–91 years). A total of 6% patients had positive ALK expression and 10% had EGFR mutation. The significant correlation between ALK expression or EGFR mutations with observed variables were not found. The median value of all high scores for ERCC1 expression of 0.1 (0–3) was used to separate tumors with low ERCC1 expression (i.e. ≤ 0.1) from high ERCC1 expression (i.e. > 0.1). The majority of patients, 142 (77.2%) were treated with platinum-based chemotherapy alone, and in 26 (14.1%) patients, chemotherapy was combined with surgical resection and in 16 (8.7%) with radiotherapy (Table 1).
Table 1

Patients characteristics (N = 253)

CharacteristicsN (%)
Age (years)≤65125 (49.4%)
SexMale161 (63.6%)
Smoking statusYes96 (86.5%)
ECOG PSa075 (52.9%)
131 (21.8%)
217 (12%)
38 (5.6%)
411 (7.7%)
TNM stageI9 (3.8%)
II28 (12%)
III34 (14.6%)
IV163 (69.6%)
Tumor sizeT 122 (9.2%)
T 271 (29.7%)
T 369 (28.9%)
T 477 (32.2%)
Lymph nodePositive177 (75%)
MetastasisYes163 (69.4%)
ERCC1≤0.168 (52.7%)
>  0.161 (47.3%)
TherapybC142 (77.2%)
C + S26 (14.1%)
C + R16 (8.7%)

aECOG PS Eastern Cooperative Oncology Group Performance Status

bC chemotherapy, S surgical resection, R radiotherapy

Patients characteristics (N = 253) aECOG PS Eastern Cooperative Oncology Group Performance Status bC chemotherapy, S surgical resection, R radiotherapy A total of 129 (50.7%) patients had a sufficient material in paraffin block for immunohistochemistry analysis for ERCC1. High ERCC1 expression was found in 61 (47.3%) patients and was strongly correlated with higher TMN (p = 0.021), tumor enlargement (p = 0.002), positive lymph nodes (p = 0.001), distant metastasis (p = 0.005). Furthermore, significant association was observed for low ERCC1 expression and better clinical condition (ECOG) for grouped ECOG stages 3 and 4 compared to others ECOG stages (p = 0.023) (Table 2).
Table 2

Patients characteristics according to the ERCC1 status (N = 129)

ERCC1
≤0.1 (N = 68)> 0.1 (N = 61)χ2p
SexMale44 (65%)42 (69%)0.2490.378
Smoking statusYes28 (82%)31 (82%)0.0070.589
ECOGa025 (61%)16 (36%)9.4980.023
110 (24%)9 (21%)
24 (10%)8 (18%)
32 (5%)3 (7%)
40 (0%)8 (18%)
Tumor sizeT 110 (15%)2 (3%)15.3250.002
T 225 (37%)14 (23%)
T 318 (27%)13 (22%)
T 414 (21%)31 (52%)
Lymph nodePositive47 (69%)54 (92%)9.7420.001
MetastasisYes48 (71%)55 (90%)7.6570.005
TNM stagebI2 (3%)0 (0%)7.6900.021
II7 (10%)3 (5%)
III11 (16%)3 (5%)
IV48 (71%)55 (90%)

aECOG was grouped as 0: 1: 2: (3 + 4)

bTNM stage was grouped as (I + II): III: IV

Patients characteristics according to the ERCC1 status (N = 129) aECOG was grouped as 0: 1: 2: (3 + 4) bTNM stage was grouped as (I + II): III: IV

Survival analysis

During follow-up period of 53 months, 186 (73.5%) patients died. The median overall survival was 10 months (SE:0.87; 95% CI:6–14). Among deceased patients, a higher rate of high ERCC1 expression was found, compared with patients who were alive (95% vs. 52%; p < 0.001). Univariate Cox’s regression analysis revealed factors that significantly influenced survival (Table 3). Higher relative risk for death was associated with high ERCC1 expression (p < 0.001), higher TNM and ECOG (p < 0.001; p < 0.001, respectively), tumor enlargement (p < 0.001), positive lymph nodes (p < 0.001) and distant metastasis (p < 0.001). Relative risk of death rose 2.491 times whenever ERCC1 expression rose (95%CI:2.019–3.073; p < 0.001) (Fig. 1a, b).
Table 3

Cox regression analysis for survival

HR95% CIp
SexMale0.8030.594–1.0860.154
Age (years)≤651.0630.797–1.4170.678
Smoking statusYes1.1100.573–2.1530.757
ECOG0–41.6841.450–1.956< 0.001
Tumor sizeT1< 0.001
T21.3360.649–2.750
T32.2141.089–4.501
T44.4452.212–8.935
Lymph nodePositive4.1322.660–6.418< 0.001
MetastasisYes3.4982.391–5.118< 0.001
TNM stageaI + II< 0.001
III2.4881.265–4.891
IV5.4743.107–9.645
ERCC1≤ 0.16.4784.035–10.401< 0.001
> 0.1

aTNM stage was grouped as (I + II): III: IV

Fig. 1

a ERCC1 immunohistochemistry in lung adenocarcinoma: positive and negative nuclear staining (HRP 200x). b Significant correlation was found between OS and level of ERCC1 expression (i.e. ERCC1 H scores, determined with multiplying the percentage of positive nuclear reaction by staining intensity). Longer OS was strongly associated with lower level of ERCC1 expression (lower H score) and a risk of death rose whenever ERCC1 expression rose (p < 0.001)

Cox regression analysis for survival aTNM stage was grouped as (I + II): III: IV a ERCC1 immunohistochemistry in lung adenocarcinoma: positive and negative nuclear staining (HRP 200x). b Significant correlation was found between OS and level of ERCC1 expression (i.e. ERCC1 H scores, determined with multiplying the percentage of positive nuclear reaction by staining intensity). Longer OS was strongly associated with lower level of ERCC1 expression (lower H score) and a risk of death rose whenever ERCC1 expression rose (p < 0.001) Multivariate Cox’s regression analysis adjusted for significant prognostic factors for survival revealed high ERCC1 expression (HR:5.126; 95%CI:2.594–10.130; p < 0.001) and higher ECOG (HR:4.425; 95%CI:1.891–10.353; p = 0.008) for grouped ECOG stages 3 and 4 compared to others ECOG stages, as an independent factors of worse prognosis. Statistically significant differences in overall survival were found according to ECOG (p < 0.001), tumor size (p < 0.001), lymph nodes (p < 0.001), distant metastasis (p < 0.001), TNM (p = 0.01), and ERCC1 expression (p < 0.001). OS was 5 times longer in patients with low ERCC1 expression compared with those with high ERCC1 expression (25 months vs. 5 months) (Table 4).
Table 4

Overall survival of lung adenocarcinoma patients according to the analysed variables

Average survival (SE);95%CIMedian survival (SE);95%CILRp
Age (years)≤6520.109 (1.762); 15.656–23.561

10.00 (0.972)

8.095–11.905

0.1810.670
> 65

19.331 (1.711);

15.977–22.684

10.00 (3.232)

3.664–16.336

SexMale18.443 (1529); 15.445–21.440

9 (1.002);

7.037–10.963

2.1500.143
Female

22.049 (2.049);

18.044–26.055

17 (3972);

9.215–24.785

Smoking statusYes

17.4 (1.935)

13.607–21.193

8 (1224)

5.600–10.400

0.1020.750
No

15.116

8.760–21.471

16 (10.797)

0–37.163

ECOG0

25.916 (2.468)

21.079–30.754

23 (3.910)

15.336–30.664

62.106< 0.001
1

12.172 (2.073)

8.109–16.235

7 (1.113)

4.819–9.181

2

10.882 (3.096)

4.815–16.950

7 (1.543)

3.975–10.025

3

4.750 (2.169)

0.498–9.002

2 (0.685)

0.658–3.342

4

2.36 (1.073)

0.534–4.739

2 (0.591)

0.842–3.158

TNM stage*I + II

39.355 (2.654)

34.154–44.556

39 (7.649)

24.009–53.991

50.830< 0.001
III

25.660 (3.171)

19.444–31.876

23 (3.312)

16.08–29.492

IV13.861 (1.355)7 (0.762)
Tumor sizeT1

32.709 (4702)

23.494–41.924

52.961< 0.001
T2

28.521 (2.419)

23.779–33.262

23 (3.512)

16.116–29.884

T3

19.520 (2.272)

15.068–23.973

10 (2.371)

2.371–5.353

T4

9.240 (1.201)

6.886–11.595

5 (0,625)

3.774–6.226

Lymph nodeNegative

36.468 (2.402)

31.761–41.175

45 (9468)

26.443–63.557

48.562< 0.001
Positive12.137–17.275

7 (0,739)

5.552–8.448

MetastasisNo

33.370 (2.201)

29.057–37.683

32 (5,4)

21.416–42.84

48.784< 0.001
Yes

13.819 (1.348)

11.178–16.461

7 (0,734)

5.561–8.439

ERCC1≤ 0.1

30.793 (2.543)

25.810–35.777

25 (4.594)

15.996–34.004

78.710< 0.001
>  0.1

5.951 (0.696)

4.586–7.316

5 (0.441)

4.135–5.865

TNM IV/C**≤ 0.1

24.719 (2.034)

20.732–28.705

24 (3.607)

16.931–31.069

65.412< 0.001
>  0.1

5.511 (0.564)

4.404–6.617

5 (0.295)

4.421–5.572

TNM I-III/ C + S or R**≤ 0.1

45.727 (4.025)

37.838–53.616

9.2900.002
>  0.1

11.400 (4.614)

2.356–20.444

8 (4.382)

0–18.588

*TNM stage was grouped as (I + II): III: IV

**TNM IV/ C - TNM stage IV patients, receiving only chemotherapy based on platinum (C)

***TNM I-III/C + S or R - TNM stage I-III patients receiving combination of radiotherapy (R) or surgery (S) with chemotherapy (C)

Overall survival of lung adenocarcinoma patients according to the analysed variables 10.00 (0.972) 8.095–11.905 19.331 (1.711); 15.977–22.684 10.00 (3.232) 3.664–16.336 9 (1.002); 7.037–10.963 22.049 (2.049); 18.044–26.055 17 (3972); 9.215–24.785 17.4 (1.935) 13.607–21.193 8 (1224) 5.600–10.400 15.116 8.760–21.471 16 (10.797) 0–37.163 25.916 (2.468) 21.079–30.754 23 (3.910) 15.336–30.664 12.172 (2.073) 8.109–16.235 7 (1.113) 4.819–9.181 10.882 (3.096) 4.815–16.950 7 (1.543) 3.975–10.025 4.750 (2.169) 0.498–9.002 2 (0.685) 0.658–3.342 2.36 (1.073) 0.534–4.739 2 (0.591) 0.842–3.158 39.355 (2.654) 34.154–44.556 39 (7.649) 24.009–53.991 25.660 (3.171) 19.444–31.876 23 (3.312) 16.08–29.492 32.709 (4702) 23.494–41.924 28.521 (2.419) 23.779–33.262 23 (3.512) 16.116–29.884 19.520 (2.272) 15.068–23.973 10 (2.371) 2.371–5.353 9.240 (1.201) 6.886–11.595 5 (0,625) 3.774–6.226 36.468 (2.402) 31.761–41.175 45 (9468) 26.443–63.557 7 (0,739) 5.552–8.448 33.370 (2.201) 29.057–37.683 32 (5,4) 21.416–42.84 13.819 (1.348) 11.178–16.461 7 (0,734) 5.561–8.439 30.793 (2.543) 25.810–35.777 25 (4.594) 15.996–34.004 5.951 (0.696) 4.586–7.316 5 (0.441) 4.135–5.865 24.719 (2.034) 20.732–28.705 24 (3.607) 16.931–31.069 5.511 (0.564) 4.404–6.617 5 (0.295) 4.421–5.572 45.727 (4.025) 37.838–53.616 11.400 (4.614) 2.356–20.444 8 (4.382) 0–18.588 *TNM stage was grouped as (I + II): III: IV **TNM IV/ C - TNM stage IV patients, receiving only chemotherapy based on platinum (C) ***TNM I-III/C + S or R - TNM stage I-III patients receiving combination of radiotherapy (R) or surgery (S) with chemotherapy (C) The predictive value of ERCC1 was analysed by observing the correlation between OS of the lung adenocarcinoma patients in different TNM stages treated with different therapeutic modalities, and ERCC1 status (Fig. 2a, b). Among 102 patients in TNM stage IV/ treated only with chemotherapy, low ERCC1 expression was found in 45 (44.12%) patients and was correlated with longer OS compared with those who had high ERCC1 expression (24 months vs. 5 months; p < 0.001). Furthermore, 27 patients were in TNM stages I-III and received chemotherapy based on platinum combined with surgery or radiotherapy. Low ERCC1 expression was found in 8 (29.6%) of these patients and was correlated with longer OS compared to those with high ERCC1 expression (p = 0.002).
Fig. 2

Association between the OS of the lung adenocarcinoma patients in different TNM stages/ treated with different therapeutic modalities, with ERCC1 expression. a Longer OS of the patients with TNM stage I – III/ treated with chemotherapy combined with radiotherapy or surgery, was associated with the low ERCC1 expression compared to the same TNM staged patients and high ERCC1 expression (p = 0.002). b Among the patients in TNM stage IV/treated only with chemotherapy based on platinum, those who had low ERCC1 expression in tumor, had longer OS compared with the same TNM staged patients and high ERCC1 expression (p < 0,001)

Association between the OS of the lung adenocarcinoma patients in different TNM stages/ treated with different therapeutic modalities, with ERCC1 expression. a Longer OS of the patients with TNM stage I – III/ treated with chemotherapy combined with radiotherapy or surgery, was associated with the low ERCC1 expression compared to the same TNM staged patients and high ERCC1 expression (p = 0.002). b Among the patients in TNM stage IV/treated only with chemotherapy based on platinum, those who had low ERCC1 expression in tumor, had longer OS compared with the same TNM staged patients and high ERCC1 expression (p < 0,001)

Discussion

Previous retrospective studies and meta-analyses revealed that high ERCC1 expression is a negative predictor in patients who received chemotherapy based on platinum and good prognostic marker in patients who did not [2, 3, 6, 13–15]. The same observations were found in ovarian epithelial carcinoma, squamous carcinoma of the head and neck, and gastroenteric carcinomas [16, 17]. So far, conflicting results were found in few studies according to correlation of ERCC1with prediction or prognosis in NSCLC. Findings in the meta-analysis of Roth et al. supported the hypothesis that ERCC1 is associated with response to chemotherapy based on platinum and OS in advanced NSCLC, but the study of Booton et al. did not confirmed that hypothesis [7, 14]. Several prospective studies have suggested that ERCC1 is predictive in NSCLC. The study by Cobo et al. prospectively evaluated expression of ERCC1 mRNA in advanced stage of NSCLC in order to predict response to cisplatin-free or cisplatin-based therapy. Patients in control group received docetaxel/cisplatin combination. The other group of patients received docetaxel/cisplatin or docetaxel/gemcitabine regimens respectively, according to low or high ERCC1 mRNA levels and their response rates were significantly higher (50.3%) compared with the control group (39.3%) [18]. Takemoto et al. prospectively evaluated the benefit of therapy without platinum for patients in TNM stages IIIB/IV who expressed high level of ERCC1 mRNA, and concluded that therapy without platinum might be effective for those patients [19]. In a contrast to these findings, Lee et al. concluded in a prospective ERCC1 trial (ET) that in patients with advanced disease, choosing the best suitable chemotherapy by using a commercially available ERCC1 antibody, did not prolong survival [10]. Our study was retrospective, and chemotherapy based on platinum was applied to all of our patients. In a few patients, chemotherapy was combined with surgery or radiotherapy depended on the TNM stage of the disease and the clinical condition of the patient. A correlation between low ERCC1 expression and longer OS was found in patients in all TMN stages. Knowing that ERCC1 is the major enzyme involved in platinum damage repair, this result was hypothetically expected, as a consequence of the ineffectiveness of the ERCC1 enzyme to repair the damage caused by platinum [20]. Awareness of the fact that a lot of other factors, in addition to ERCC1 contribute to chemotherapy response, more analysis are required for verification of this hypothesis. ERCC1 status could be evaluated trough the immunohistochemical (IHC) staining or by real-time polymerase chain reaction (RT-PCR) method. Carter et al. emphasized the importance of selected therapy trough molecular analysis of cancer cells using IHC, with the intention to increase patients’ benefits, and ERCC1 was evaluated as a predictor of better outcome in lung adenocarcinoma patients [21]. In our study, the expression of ERCC1 was assessed trough IHC staining and graded using the same scoring system as Olaussen. The median H score of 0.1 (0–3) was used to define low versus high ERCC1 expression [5], and it was lower than in Olaussens study (0.1 vs 1), but when we correlated our results to patients’ outcome, the results between these two studies were in agreement. Although, IHC is useful method for evaluation the protein expression in tumor tissue, we have to be careful with the interpretation of IHC staining. There are several limitations such as different antibodies, variations among observers and the different values for separating low from high ERCC1 expression. This suggests that inconsistent prognostic interpretations of ERCC1 might have been influenced by the scoring system which emphasis the need for consensus about methodology [22]. Furthermore, the ERCC1 evaluation by IHC is questionable, because ERCC1 is present as four isoforms in the nucleus, but only one of them (isoform 202) was involved in the repair of platinum adducts. [23]. These observations could have been one of the possible explanation for discrepancy among the studies. Currently, none of the available antibody, allows for differentiating between four ERCC1 isoforms, leading to possibility of wrong evaluation and classification of ERCC1 expression. More valid method for ERCC1 analysis is RT-PCR for detection of the mRNA from tumor tissue. Prospective studies, mentioned above were conducted using paraffin blocks of tumor biopsies, previously fixed in formalin for mRNA extraction. Formalin destroys the mRNA, so tumor samples should be taken for ERCC1 analysis before fixation to avoid wrong evaluation of ERCC1 expression [19]. We assumed that the small sample tissue, as a commonest, and derived from bronchial biopsies, would be sufficient for IHC analysis of ERCC1 expression and representative for the total tumor despite of tumor heterogeneity, according to Taillade et al. who reported a high correlation for ERCC1 expression comparing bronchial biopsies and resected surgical specimens in the same patient [24]. In our research, beside ERCC1, a smaller tumor size was found out to be a factor of better prognosis which correlates with the findings of Rami-Porta et al. [25]. They emphasized the importance of the new 8thTNM staging system where T1 lesions were subdivided into T1a, T1b, and T1c lesions corresponding to lung cancers up to 10 mm, between 11 and 20 mm, and between 21 and 30 mm, respectively [10]. Prognosis was significantly better for the smallest lesions, as 5-year survival rates for clinical staging were 92, 83, and 76% for T1a, T1b, and T1c cancers, respectively [25]. It is obvious that tumour size is an important prognostic factor. The prognosis of NSCLC has been changed with immunotherapy but without the long-term benefit for many patients. The association of ERCC1 with immunotherapy response was analysed, assuming that ineffective ERCC1 increases defects in the DNA of tumor cells and causes stronger immune response to the tumor. Chabanon et al. revealed correlation between low expression of ERCC1 and better response to immunotherapy due to increased neo-antigens in tumor cells [26]. It seems that ERCC1 has remained not only an important predictive marker of chemotherapy based on platinum, but it could also be a predictor of immunotherapy response.

Conclusion

Our data indicated that high ERCC1 expression is a valuable negative prognostic marker in patients with lung adenocarcinoma. Novelty of the present study is that low ERCC1 expression is confirmed as a good predictive marker in all stages of lung adenocarcinoma in patients treated with platinum-based chemotherapy alone, or in combination with surgery or radiotherapy. IHC is a valuable method to evaluate the ERCC1 status, but consensus on the selection of most reliable antibody has to be achieved and values for separating low from high ERCC1 expression have to be established to avoid wrong classification of ERCC1 status. In the century of immunotherapy, ERCC1 is recognised as predictor of better response to check point inhibitors. Additional efforts have to be made to determine predictive markers to any therapeutic modality which could result in patients benefit.
  24 in total

Review 1.  Prognostic role of ERCC1 in advanced non-small-cell lung cancer: a systematic review and meta-analysis.

Authors:  Joshua A Roth; Josh J Carlson
Journal:  Clin Lung Cancer       Date:  2011-07-01       Impact factor: 4.785

2.  DNA repair by ERCC1 in non-small-cell lung cancer and cisplatin-based adjuvant chemotherapy.

Authors:  Ken A Olaussen; Ariane Dunant; Pierre Fouret; Elisabeth Brambilla; Fabrice André; Vincent Haddad; Estelle Taranchon; Martin Filipits; Robert Pirker; Helmut H Popper; Rolf Stahel; Laure Sabatier; Jean-Pierre Pignon; Thomas Tursz; Thierry Le Chevalier; Jean-Charles Soria
Journal:  N Engl J Med       Date:  2006-09-07       Impact factor: 91.245

3.  Immunohistochemichal expression of biomarkers: a comparative study between diagnostic bronchial biopsies and surgical specimens of non-small-cell lung cancer.

Authors:  L Taillade; F Penault-Llorca; T Boulet; P Fouret; S Michiels; E Taranchon; G Mountzios; P Validire; J Domont; P Girard; D Grunenwald; T Le Chevalier; J-C Soria
Journal:  Ann Oncol       Date:  2007-03-12       Impact factor: 32.976

4.  Prognostic and predictive role of ERCC1 protein expression in locally advanced stage III non-small cell lung cancer.

Authors:  Lamiss Mohamed Sad; Samar Galal Younis; Mohamed Mosad Elity
Journal:  Med Oncol       Date:  2014-06-17       Impact factor: 3.064

Review 5.  ERCC1 and RRM1: ready for prime time?

Authors:  Benjamin Besse; Ken A Olaussen; Jean-Charles Soria
Journal:  J Clin Oncol       Date:  2013-02-11       Impact factor: 44.544

6.  ERCC1 mRNA expression is not associated with response and survival after platinum-based chemotherapy regimens in advanced non-small cell lung cancer.

Authors:  Richard Booton; Tim Ward; Linda Ashcroft; Julie Morris; Jim Heighway; Nick Thatcher
Journal:  J Thorac Oncol       Date:  2007-10       Impact factor: 15.609

Review 7.  Platinum resistance: the role of DNA repair pathways.

Authors:  Lainie P Martin; Thomas C Hamilton; Russell J Schilder
Journal:  Clin Cancer Res       Date:  2008-03-01       Impact factor: 12.531

8.  ERCC1 expression does not predict survival and treatment response in advanced stage non-small cell lung cancer cases treated with platinum based chemotherapy.

Authors:  Ozer Ozdemir; Pelin Ozdemir; Ali Veral; Hatice Uluer; Mustafa Hikmet Ozhan
Journal:  Asian Pac J Cancer Prev       Date:  2013

9.  Customizing cisplatin based on quantitative excision repair cross-complementing 1 mRNA expression: a phase III trial in non-small-cell lung cancer.

Authors:  Manuel Cobo; Dolores Isla; Bartomeu Massuti; Ana Montes; Jose Miguel Sanchez; Mariano Provencio; Nuria Viñolas; Luis Paz-Ares; Guillermo Lopez-Vivanco; Miguel Angel Muñoz; Enriqueta Felip; Vicente Alberola; Carlos Camps; Manuel Domine; Jose Javier Sanchez; Maria Sanchez-Ronco; Kathleen Danenberg; Miquel Taron; David Gandara; Rafael Rosell
Journal:  J Clin Oncol       Date:  2007-07-01       Impact factor: 44.544

10.  Excision repair cross-complementation group 1 (ERCC1) status and lung cancer outcomes: a meta-analysis of published studies and recommendations.

Authors:  Richard A Hubner; Richard D Riley; Lucinda J Billingham; Sanjay Popat
Journal:  PLoS One       Date:  2011-10-14       Impact factor: 3.240

View more
  2 in total

Review 1.  Mechanisms of resistance to chemotherapy in non-small cell lung cancer.

Authors:  Hye-Young Min; Ho-Young Lee
Journal:  Arch Pharm Res       Date:  2021-02-19       Impact factor: 4.946

Review 2.  Diagnostic and Prognostic Potential of Biomarkers CYFRA 21.1, ERCC1, p53, FGFR3 and TATI in Bladder Cancers.

Authors:  Milena Matuszczak; Maciej Salagierski
Journal:  Int J Mol Sci       Date:  2020-05-09       Impact factor: 5.923

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.