Literature DB >> 26996551

Apolipoproteins as Differentiating and Predictive Markers for Assessing Clinical Outcomes in Patients with Small Cell Lung Cancer.

Jian Shi1, Huichai Yang2, Xiaoyang Duan3, Lihua Li3, Lulu Sun3, Qian Li3, Junjun Zhang3.   

Abstract

PURPOSE: The present study aimed to investigate the value of apolipoproteins, including ApoA-1, ApoC-III, and ApoE, in patients with small cell lung cancer (SCLC) as potential biomarkers for diagnosis, prognosis, and cancer progression.
MATERIALS AND METHODS: Lung samples were collected from 89 patients with SCLC. Nineteen lung samples from non-small cell lung cancer (NSCLC) patients and 12 normal lung tissues were used as controls. Expression profiles of ApoA-1, ApoC-III, and ApoE in different samples were examined using immunohistochemical methods, and the expression levels were correlated with cancer types, treatment, and outcomes using chi-square and Mann-Whitney tests.
RESULTS: Expression of ApoA-1 and ApoC-III in SCLC was significantly different, compared with that in NSCLC and normal lung tissues, and was correlated with recurrence of SCLC. Patients undergoing neoadjuvant chemotherapy before surgery showed significantly reduced expression of ApoA-1 and increased expression of ApoC-III and ApoE. Nevertheless, the expression levels of ApoA-1, ApoC-III, and ApoE were not correlated with SCLC staging.
CONCLUSION: ApoA-1 and ApoC-III may be used as differentiating and predictive markers for SCLC. ApoA-1, ApoC-III, and ApoE may be used to monitor the efficacy of chemotherapy.

Entities:  

Keywords:  Small cell lung cancer; apolipoprotein; biomarker; prognosis

Mesh:

Substances:

Year:  2016        PMID: 26996551      PMCID: PMC4800341          DOI: 10.3349/ymj.2016.57.3.549

Source DB:  PubMed          Journal:  Yonsei Med J        ISSN: 0513-5796            Impact factor:   2.759


INTRODUCTION

As one of the most common malignancies, lung cancer accounted for approximately 1.38 million deaths in 2008, and is expected to cause more deaths in the future, particularly in developing countries.12 The majority of lung cancers originates from epithelial cells, and can be categorized morphologically as non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC). Although constituting only 15–20% of all lung cancers, SCLC is considered a fatal disease with extremely low survival rates, due to early metastases and high sensitivity to cytotoxic chemotherapy.3 The past few decades have witnessed tremendous developments in drugs and biomarkers targeting SCLC, in large part to extensive research into the molecular mechanisms of SCLC.45 Nevertheless, the average outcomes of SCLC patients have not significantly improved, and 5-year survival rates have not been satisfactorily improved over the last 40 years.6 Approximately 60–70% of patients are not diagnosed until an extensive stage (ES), with a median survival of only 8–10 months.6 Since the therapeutic options for SCLC are still limited, diagnosing the disease as early as possible is critical. Apolipoproteins are structural components of lipoproteins, and play a critical role in lipid transportation. Genetic mutations in apolipoproteins are widely associated with metabolic and cardiovascular diseases.78 Furthermore, accumulating evidence suggests that apolipoproteins may also be related to the development and/or outcomes of certain cancers, for instance ovarian cancer, renal cancer, bladder cancer, etc.910 We previously reported on the up-regulation of ApoE in the serum of SCLC patients, suggesting that apolipoproteins can serve as potential biomarkers for SCLC.11 Therefore, in order to analyze the possibility of utilizing apolipoproteins in SCLC diagnosis, we sought to systematically characterize the expression of different apolipoproteins in SCLC tissue samples from patients of various clinical histories. Our studies revealed that the expression of apolipoproteins may be useful for SCLC diagnosis and monitoring treatment.

MATERIALS AND METHODS

Subjects

Patients with lung cancers were enrolled at the Fourth Hospital of Hebei Medical University from January 2011 to December 2013. All lung cancer patients were histopathologically diagnosed, and all tissue samples were obtained by surgery. The inclusion criteria for SCLC consisted of the following: patients without clear diagnosis from endoscopy or lymph node biopsy, but histopathologically diagnosed after surgery; patients with a medical history of SCLC and who had undergone preoperative neoadjuvant chemotherapy before surgery. The exclusion criteria included mixed cancers and patients without clear postoperative pathological diagnosis. In total, 89 SCLC samples were selected for study. For controls, 12 adjacent normal lung tissues (collected from SCLC patients at least 10 cm away from the tumor) and 19 NSCLC samples (eight cases of squamous cell carcinoma and 11 cases of adenocarcinoma) were used. In addition, eight normal liver tissues obtained from volunteers were used as positive controls for immunohistochemical staining. All original tissue samples were approximately 0.3×1.5×2.0 cm3. Samples were formalin-fixed and paraffin-embedded, and sectioned to make biopsies of 4 µm thickness. All specimens were processed following the standard hematoxylin and eosin stain protocol and independently diagnosed by two physicians. The protocol for this research project was approved by the Ethics Committee of the Fourth Hospital of Hebei Medical University and conformed to the provisions of the Declaration of Helsinki (as revised in Edinburgh 2000). All subjects in this research provided informed consent and underwent surgery at their own discretion.

Immunohistochemical staining

The 4-µm thick biopsy specimens were first deparaffinized in xylene I and II for 10 minutes each, rehydrated in ethanol I, ethanol II, 95% ethanol, and 80% ethanol for 5 minutes each, and rinsed with phosphate buffered saline (PBS, pH7.4) twice for 5 minutes each. Samples were then soaked in 3% hydrogen peroxide for 10 minutes, followed by a rinse with tap water. A SPlink Detection kit (ZSGC-BIO/ORIGENE, Shenzhen, China) was used for immunohistochemical staining following the manufacture's protocol. Briefly, samples were heated in 0.01 M sodium citrate (pH6.0) for 10 minutes at 95℃, followed by three rinses with PBS for 5 minutes each. Samples were incubated with primary antibodies (rabbit anti-ApoE, ApoC-III, and ApoA-1, diluted 100, 100, and 200 times, respectively; Abcam, Cambridge, United Kingdom) for 2–3 hours at room temperature, and then rinsed three times with PBS for 5 minutes each. Samples were incubated with secondary antibody (biotin-conjugated goat anti-rabbit IgG at a dilution of 1:400) for 20 minutes at room temperature, followed by three rinses with PBS for 5 minutes each. Samples were then stained with DAB kit (ZSGC-BIO/ORIGENE) following the manufacture's protocol and mounted with neutral resin on slides.

Assessment of immunohistochemical staining

Slides were observed and imaged with a DM-LB2 microscope (Leica, Wetzlar, Germany) and Olympus BX51 microscope (Olympus, Tokyo, Japan). Stains of normal liver tissues were used as a reference. Brown colored granules in the cytoplasm indicated the expression of apolipoproteins. Cells showing these stained granules were considered as expressing the targeted apolipoproteins. For each slide, the total degree of staining was scored for five randomly selected fields as negative (-), if only 10–30% of cells were stained; 1+, if 30–50% of cells were stained; 2+, if 50–70% of cells were stained; and 3+, if more than 70% of cells were stained. Overall reactivity was defined as negative if less than 30% of cells were stained, regardless of staining intensity, and positive if more than 30% of cells were stained.

Statistics

Statistical analyses were performed with SPSS software (version 13.0, SPSS Inc., Chicago, IL, USA). Chi-square test was used to compare the number of positive cells in different tissues, and Mann-Whitney test was performed to compare the expression levels of apolipoproteins in different samples. For all tests, two-tailed distribution was used, and a p value less than 0.05 (p<0.05) was considered to indicate a statistically significant difference between groups.

RESULTS

Demographic and baseline data

A total of 89 patients with SCLC were recruited to the present study. Their demographic and baseline clinical characteristics are shown in Table 1. The median age of the SCLC patients was 53 years (range: 36–75 y), and the male to female ratio was approximately 2:1. Tumor samples were obtained from all patients and their pathologic stages were determined. According to the updated Veteran's Administration Lung Study Group (VALSG) standard that assesses the location and metastases of tumors,12 87 were at a limited stage and two were at an ES. According to the tumor, node, and metastasis (TNM) standard [International Association for the Study of Lung Cancer (IASLC), 7th update13], 12, 19, 52, and 4 cases were in stages I, II, III, and IV, respectively. There were 13 patients with recurrent SCLC, and there were 20 who received neoadjuvant chemotherapy before surgery.
Table 1

Demographic Information and Baseline Clinical Data in SCLC Patients

ParameterValue/cases
Age
 Median (yr)53
 Range (yr)36-75
Male/female (n/n)60/29
Anatomic stage (n)
 I12
 II19
 III52
 IV4
VALSG stage (n)
 Limited87
 Extensive2
Recurrence (n)
 Yes13
 No76
Neoadjuvant chemotherapy (n)
 Yes20
 No69

SCLC, small cell lung cancer; VALSG, Veteran's Administration Lung Study Group.

The corresponding TNM classifications for each anatomic stage were as follows: stage I: T1aN0M0, T1bN0M0, and T2aN0M0, stage II: T1aN1M0, T1b-N1M0, T2aN1M0, T2bN0M0, T2bN1M0, and T3N0M0, stage III: T1N2M0, T2N2M0, T3N1M0, T3N2M0, T4N0M0, T4N1M0, T4N2M0, T1N3M0, T2N3M0, T3N3M0, and T4N3M0, stage IV: T any, N any, and M1a or 1b.

ApoA-1 and ApoC-III can be used as differentiating markers for SCLC

Immunohistochemical staining for the three apolipoproteins revealed brown granules in the cytoplasm, indicating the expression of apolipoproteins in SCLC samples (Fig. 1). Tissue samples with 30% of cells in the cytoplasm containing brown granules were considered as positively expressing apolipoproteins (Fig. 1, Table 2).
Fig. 1

Immunohistochemical analysis of apolipoproteins. The expression of ApoA-1 (A-D), ApoC-III (E-H), and ApoE (I-L) in different tissue samples, including SCLC (A, E, and I), adenocarcinoma (B, F, and J), squamous cell carcinoma (C, G, and K), and normal lung tissues (D, H, and L). Brown dots represent stained proteins. SCLC, small cell lung cancer.

Table 2

Expression of ApoA-1, ApoC-III, and ApoE in Different Tissues

TissuesApoA-1ApoC-IIIApoE
Negative (n/%)Positive (n/%)Negative (n/%)Positive (n/%)Negative (n/%)Positive (n/%)
SCLC (89)27.0% (24/89)73.0% (65/89)*41.6% (37/89)58.4% (52/89)*22.5% (20/89)77.5% (69/89)
NSCLC (19)42.1% (8/19)57.9% (11/19)31.6% (6/19)68.4% (13/19)26.3% (5/19)73.7% (14/19)
Normal (12)50% (6/12)50% (6/12)25% (3/12)75% (9/12)25% (3/12)75% (9/12)
Squamous cell carcinoma (8)50% (4/8)50% (4/8)25% (2/8)75% (17/19)25% (2/8)75% (6/8)
Adenocarcinoma (11)36.4% (4/11)63.6% (7/11)36.4% (4/11)63.6% (7/11)27.4% (3/11)72.6% (8/11)

SCLC, small cell lung cancer; NSCLC, non-small cell lung cancer.

*p<0.05 (compared with NSCLC or normal lung tissue).

To avoid possible gender bias, we first analyzed the expression of the three apolipoproteins in men and women separately (Supplementary Table 1, only online). Positive expression of ApoA-1, ApoC-III, and ApoE in SCLC tissues was noted in 76.7%, 58.3%, and 76.7% of men and 72.4%, 58.6%, and 79.3% of women, respectively. No significant difference in apolipoprotein expression was observed between men and women; therefore, for all other analysis, we excluded gender as a parameter. The percentage of SCLC tissues that showed positive expression of ApoA-1, ApoC-III, and ApoE was 73.0%, 58.4%, and 77.5%, respectively, compared to 57.9%, 68.4%, and 73.7% in NSCLC and 50%, 75%, and 75% in normal lung tissues. Among the NSCLC samples, 50%, 75%, and 75% of squamous cell carcinoma tissues showed positive expression of ApoA-1, ApoC-III, and ApoE, while 36.6%, 63.6%, and 72.6% of adenocarcinomas showed positive expression thereof (Table 2). Statistical analysis indicated that expression of ApoA-1 in SCLC was significantly higher than that in NSCLC or normal lung tissues, while the expression of ApoC-III was significantly lower in SCLC than in NSCLC or normal lung tissue (p<0.05).

Expression of ApoA-1 and ApoC-III is correlated with SCLC recurrence

One malignant feature of SCLC is a high recurrence rate. To test whether apolipoproteins are related with SCLC recurrence, we compared the expression of apolipoproteins in 13 cases of recurrence and 76 cases without recurrence (Table 3). The expression of ApoA-1 (61.5%) was significantly lower in the recurrence group than in the non-recurrence group (75%), while the expression of ApoC-III (69.2%) was significantly higher in the recurrence group than in the non-recurrence group (56.6%). The expression of ApoE was not affected by recurrence.
Table 3

Expression of ApoA-1 and ApoC-III Are Correlated with SCLC Recurrence

GroupApoA-1ApoC-IIIApoE
Negative (n/%)Positive (n/%)Negative (n/%)Positive (n/%)Negative (n/%)Positive (n/%)
Recurrence (13)38.5% (5/13)61.5% (8/13)*30.8% (4/13)69.2% (9/13)*23.1% (3/13)77.0% (10/13)
Control (76)25% (19/76)75% (57/76)43.4% (33/76)56.6% (43/76)22.4% (17/76)77.6% (59/76)
-++++++-++++++-++++++
Recurrence (13)38.5%(5/13)23.3%(3/13)38.5%(5/13)23%(3/13)30.8%(4/13)38.5%(5/13)23.1%(3/13)7.7%(1/13)23.1%(3/13)15.4%(2/13)46.2%(6/13)15.4%(2/13)
Control (76)25%(19/76)19.7%(15/76)52.6%(40/76)23.4%(17/76)43.4%(33/76)35.5%(27/76)14.5%(11/76)6.6%(5/76)22.4%(17/76)27.6%(21/76)34.2%(26/76)15.8%(12/76)

SCLC, small cell lung cancer.

*p<0.05.

Expression of ApoA-1 and ApoC-III altered in patients who underwent neoadjuvant chemotherapy before surgery

As a major supplementary treatment of SCLC, neoadjuvant chemotherapy before surgery has been reported to significantly increase the survival rate of SCLC patients.14 Since apolipoproteins are predictive in SCLC, we hypothesized that the expression of apolipoproteins may be used to monitor treatment efficacy. Among the 89 SCLC patients, twenty underwent neoadjuvant chemotherapy, and the percentages of positive expression of ApoA-1, ApoC-III, and ApoE therein were 60%, 80%, and 95%, respectively (Table 4). In contrast, the 69 patients who did not receive neoadjuvant chemotherapy showed significantly higher levels of ApoA-1 (76.8%), as well as lower levels of ApoC-III (52.2%), and ApoE (72.5%).
Table 4

The Effect of Neoadjuvant Chemotherapy on the Expression of Apolipoproteins

GroupApoA-1ApoC-IIIApoE
Negative (n/%)Positive (n/%)Negative (n/%)Positive (n/%)Negative (n/%)Positive (n/%)
Neoadjuvant chemotherapy (20)40% (8/20)60% (16/20)*20% (4/20)80% (16/20)*5% (1/20)95% (19/20)*
Control (69)23.2% (16/69)76.8% (53/69)47.8% (33/69)52.2% (36/69)27.5% (19/69)72.5% (50/69)

*p<0.05.

ApoA-1, ApoC-III, and ApoE are not predictive of SCLC staging, metastasis, or tumor size

To test whether apolipoproteins can be used to monitor the progression of SCLC, we compared the expressions of ApoA-1, ApoC-III, and ApoE at different stages of disease (Supplementary Table 1, only online). No significant differences in ApoA-1, ApoC-III, and ApoE expression were observed between stages I, II, III, or IV. However, the levels of the three apolipoproteins increased between subgroups IA and IB, and IIA and IIB (Table 5). The positive expression of ApoA-1, ApoC-III, and ApoE was not significantly altered between stages N0, N1, N2, and N3 or between stages T1a, T1b, T2a, T2b, T3s, and T4 (Supplementary Table 1, only online).
Table 5

Expression of ApoA-1, ApoC-III, and ApoE Are Correlated with SCLC Sub-Stages

StageApoA-1ApoC-IIIApoE
Negative (n/%)Positive (n/%)Negative (n/%)Positive (n/%)Negative (n/%)Positive (n/%)
-++++++-++++++-++++++
I A (5)0% (0/5)40% (2/5)*60% (3/5)0% (0/5)*60% (3/5)20% (1/5)*20% (1/5)*0% (0/5)*20% (1/5)40% (2/5)40% (2/5)*0% (0/5)*
I B (7)14.3% (1/7)0% (0/7)71.4% (5/7)14.3% (1/7)42.9% (3/7)42.9% (3/7)0% (0/7)14.3% (1/7)28.6% (2/7)42.9% (3/7)14.3% (1/7)14.3% (1/7)
II A (14)14.3% (2/14)21.4% (3/14)42.9% (6/14)21.4% (3/14)*35.7% (5/14)35.7% (5/14)21.4% (3/14)*7.1% (1/14)*50% (7/14)21.4% (3/14)*14.3% (2/14)*14.3% (2/14)*
II B (5)0% (0/5)20% (1/5)40% (2/5)40% (2/5)20% (1/5)40% (2/5)40% (2/5)0% (0/5)0% (0/5)40% (2/5)40% (2/5)20% (1/5)
III A (29)10.3% (3/29)20.7% (6/29)51.7% (15/29)17.2% (5/29)48.3% (14/29)27.6% (8/29)20.7% (6/29)3.4% (1/29)17.2% (5/29)27.6% (8/29)41.4% (12/29)13.8% (4/29)
III B (23)0% (0/23)21.7% (5/23)47.8% (11/23)30.4% (7/23)47.8% (11/23)43.5% (10/23)4.3% (1/23)4.3% (1/23)17.4% (4/23)17.4% (4/23)43.5% (10/23)21.7% (5/23)
IV (4)0% (0/6)25% (1/4)75% (3/4)0% (0/4)0% (0/4)50% (2/4)50% (2/4)0% (0/4)25% (1/4)0% (0/4)75% (3/4)0% (0/4)

SCLC, small cell lung cancer.

-, <25%; +, 25–50%; ++, 50–75%; +++, >75%.

*p<0.05 (comparison between I A and I B, II A and II B).

DISCUSSION

Altered expression of apolipoproteins in SCLC

Small cell lung cancers account for approximately 10–15% of all lung cancers.3 Despite a low prevalence, the disease is highly malignant. Current treatment for SCLC involves combined chemo radiation, which gradually loses effectiveness due to the increasing resistance of cancer cells to chemicals, resulting in almost invariable recrudescence and metastases.3 When diagnosed at a limited stage, 20–25% of the SCLC patients upon treatment survive longer than five years.15 Accordingly, the precise diagnose of SCLC, particularly at early stages, is crucial for the disease management. SCLC cells likely originate from bronchial epithelial cells or epithelial argyrophil cells, and are associated with signaling pathways, such as SOX2, FGFR1, RB, and Myc, which have been proposed as potential gene therapy targets.1617 Other studies have focused on preventing blood vessel growth in SCLC tissue, although such applications are still in the theoretical and research phase.18 Therefore, additional diagnose and treatment options are required to improve the outcomes of SCLC patients. Currently, SCLC diagnoses are based on pathological morphology and immunohistochemistry. Traditionally, standard tumor markers for SCLC include neuron specific enolase, CD56, chromogranin A, synaptophysin, and thyroid transcription factor-1. However, these tumor markers each carry their own limitations, and not all of them are suitable for early screening.4 Results from individual markers are highly susceptible to external conditions (e.g., hemolysis, smoking), types of samples tested (blood or plasma), and the protocols performed. Meanwhile, increasing lines of evidence suggest that apolipoproteins are associated with a wide variety of cancers, and may be potential targets for cancer treatment. Whether they are involved in SCLC development, however, remains unclear. In our study, we used immunohistochemistry to investigate the expression apolipoproteins in SCLC patients. As a major structural component of high-density lipoproteins (HDL), ApoA-1 is widely associated with chylomicron (CM), HDL2, and HDL3, and is responsible for cholesterol excretion from tissues to the liver.19 Accumulating studies have shown that changes in ApoA-1 are associated with cancer progression and treatment outcomes, although controversial results have been frequently reported. For instance, down-regulation of serum ApoA-1 was reported in patients with pancreatic cancer, colorectal cancer, and ovarian cancer,2021 while ApoA-1 expression was up-regulated in patients with lung cancer, bladder cancer, and recurrent head and neck squamous cell carcinoma.222324 Recent molecular studies have demonstrated that ApoA-1 peptides may suppress the vascular endothelial growth factor 1 through the fibroblast growth factor signaling pathway, functioning as a tumor suppressor gene.25 Our present study showed that ApoA-1 is significantly overexpressed in SCLC tissue samples, compared to NSCLC and normal lung tissues, indicating the potential application of ApoA-1 in SCLC diagnosis. Unlike ApoA-1, ApoC-III is a small soluble protein residing on the surface of apoA and apoB, and can be found in HDL, very-low-density lipoprotein (VLDL), and CM. ApoC-III suppresses lipoprotein lipase (LPL), and displaces LPL from triglyceride-rich lipoproteins.26 ApoC-III also affects liver production of lipoproteins, probably by inducing the expression of microsomal triglyceride transfer protein.27 Apart from the well-characterized function of ApoC-III in triglyceride metabolism and insulin resistance, emerging evidence suggests that ApoC-III is also linked to various cancers. Fan, et al.28 screened serum samples from patients with papillary thyroid carcinoma (PTC) and identified ApoC-III as a biomarker for PTC and an indicator for PTC staging. Honda, et al.10 showed that plasma ApoC-III is significantly decreased in patients with pancreatic cancer. Molecular studies also suggest that human ApoC-III promoter is synergistically activated by hepatocyte nuclear factor 4, Mdm2, and Smad proteins.2930 Mdm2 antagonizes the indirect inhibition of p53 and SHP on ApoC-III, which is probably the underlying mechanism for the involvement of ApoC-III in tumorigenesis and cancer progression. In our study, ApoC-III expression was significantly reduced in SCLC tissues, compared to NSCLC and normal lung samples. The results indicated that ApoC-III could be used as a differentiating marker for SCLC. ApoE is associated with CM, VLDL, and HDL, and is widely expressed in multiple tissues and cell types, such as liver, kidney, lung, and ovary cells. ApoE mediates the transportation of CM, VLDL, and their remnants to the liver, and defects in ApoE are closely related with hyperlipidemia and cardiovascular diseases.31 Moreover, accumulating evidence suggests that ApoE is involved in multiple signaling pathways that play a role in tumorigenesis. Martínez-Clemente, et al.32 showed that ApoE could inhibit TNF-alpha. ApoE was found to be overexpressed in malignant pleural effusions (MPE)-associated lung adenocarcinoma.33 ApoE knockdown in MPE-derived lung adenocarcinoma cell lines inhibited cancer cell growth, enhanced the sensitivity to cisplatin, and impaired cell migration.33 Trost, et al.34 showed decreased serum levels of ApoE and upregulated ApoE expression in tumor tissues in NSCLC patients, although they were not correlated with cancer stages or prognosis of NSCLC. In the present study, we observed equally high expressions of ApoE in normal lung and tumor samples from SCLC and NSCLC patients, indicating the lack of discriminating power of ApoE in SCLC diagnosis.

Apolipoprotein expression is not associated with SCLC progression

The first standard staging of SCLC, VALSG, was developed in the 1950s, and divides SCLC into limited stage and extensive stage disease, mainly based on the range of cancer spread.1235 The IASLC/AJCC later proposed a new staging system for SCLC based on the TNM information.13 This updated TNM system is more applicable for patients undergoing surgical treatment, and provides additional prognostic information. The precise staging of SCLC is critical for the choice of subsequent treatment plans. Since apolipoproteins exhibit differential expression in SCLC tissue, compared to other cancer types and normal tissue, we anticipated that they may be of use in SCLC staging as well. Our study results, however, did not show that the expressions of ApoA-1, ApoC-III, and ApoE differ significantly between limited and ES disease or between different T/N stages according to the TNM system. We concluded that ApoA-1, ApoC-III, and ApoE are not suitable for differentiating or predicting SCLC staging. A recent study showed that serum levels of ApoA-1 were negatively correlated with cancer progression and positively correlated with survival.36 In our study, decreased expression of ApoA-1 was observed in tumor samples of SCLC patients with recurrence. These results implicate a complicated role for ApoA-1 in regulating cancer development. In another study, expression of Apo-CI in lung samples from patients with lung cancer, including NSCLC (n=23), SCLC (n=6), and undifferentiated cancer (n=1), was examined.37 The study showed that Apo-CI expression was upregulated in late stages of all lung cancer types. These results indicate that, despite the similar functions apolipoproteins have in lipid transport, they might play different roles in cancer development and progression.

Apolipoproteins are predictive of SCLC prognosis and can be used for monitoring the efficacy of chemotherapy

Currently the consensus treatment strategies for SCLC include combined radio chemotherapy for limited stage disease and combined chemotherapy for extensive disease.3 Patients at the limited stage have a 5-year survival rate of less than 15%.15 The median survival period for ES is 7–11 months, with a 2-year survival rate of less than 5%.6 As a systemic disease, surgery is not recommended.38 However, emerging studies have shown that surgery can significantly prolong the survival rates of patients with limited stage disease. Surgical treatment is recommended for stage I (T1–T2, N0) patients and stage II–IIIa patients who have undergone the first two-three cycles of chemotherapy and reached stage I.3940 Recently Ploenes, et al.14 reported that neoadjuvant treatment following surgical treatment significantly improved the median overall survival (89.4 months compared to an average of 20.7 months of all surveyed patients) of patients with limited stage disease, which indicated that Karnofsky performance status (PS) and neoadjuvant chemotherapy have positive effect on the outcome of SCLC patients. In our study, patients were categorized into two groups, depending on whether they had undergone neoadjuvant chemotherapy before surgery. ApoA-1 and ApoC-III were found to be differentially expressed between the two groups, indicating that ApoA-1 and ApoC-III can be applied to monitor the efficacy of chemotherapy. The 5-year survival rate of limited-stage SCLC patients after chemotherapy is approximately 19–23%.1541 However, local recurrence as high as 30–70% has frequently been reported. Studies have shown that SCLC tissues often contain other types of cancer cells that are insensitive to chemotherapy. Typically, SCLCs contain abundant neuroendocrine granules and dopamine beta-hydroxylase, and generally are associated with better prognosis.42 The other SCLC is the small cell carcinoma with short doubling time, highly efficient cloning and insensitivity to radiation therapy, resulting in poor prognosis.3 Important risk factors for SCLC prognosis include staging, PS, lactate dehydrogenase, etc.4344 In our study, we showed that ApoA-1 and ApoE expression differed between patients with and without recurrence, indicating that the two apolipoproteins are predictive for SCLC prognosis.
  44 in total

1.  SMAD proteins transactivate the human ApoCIII promoter by interacting physically and functionally with hepatocyte nuclear factor 4.

Authors:  D Kardassis; K Pardali; V I Zannis
Journal:  J Biol Chem       Date:  2000-12-29       Impact factor: 5.157

2.  Apolipoproteins C-I and C-III inhibit lipoprotein lipase activity by displacement of the enzyme from lipid droplets.

Authors:  Mikael Larsson; Evelina Vorrsjö; Philippa Talmud; Aivar Lookene; Gunilla Olivecrona
Journal:  J Biol Chem       Date:  2013-10-11       Impact factor: 5.157

Review 3.  Small cell lung cancer: therapies and targets.

Authors:  Rathi N Pillai; Taofeek K Owonikoko
Journal:  Semin Oncol       Date:  2013-12-12       Impact factor: 4.929

4.  Apolipoprotein E expression promotes lung adenocarcinoma proliferation and migration and as a potential survival marker in lung cancer.

Authors:  Wen-Pin Su; Yen-Ting Chen; Wu-Wei Lai; Chien-Chung Lin; Jing-Jou Yan; Wu-Chou Su
Journal:  Lung Cancer       Date:  2011-01       Impact factor: 5.705

5.  Medical Research Council comparative trial of surgery and radiotherapy for primary treatment of small-celled or oat-celled carcinoma of bronchus. Ten-year follow-up.

Authors:  W Fox; J G Scadding
Journal:  Lancet       Date:  1973-07-14       Impact factor: 79.321

6.  5-lipoxygenase deficiency reduces hepatic inflammation and tumor necrosis factor alpha-induced hepatocyte damage in hyperlipidemia-prone ApoE-null mice.

Authors:  Marcos Martínez-Clemente; Natàlia Ferré; Ana González-Périz; Marta López-Parra; Raquel Horrillo; Esther Titos; Eva Morán-Salvador; Rosa Miquel; Vicente Arroyo; Colin D Funk; Joan Clària
Journal:  Hepatology       Date:  2010-03       Impact factor: 17.425

Review 7.  Current and evolving treatment options for limited stage small cell lung cancer.

Authors:  Carrie B Lee; David E Morris; Daniel B Fried; Mark A Socinski
Journal:  Curr Opin Oncol       Date:  2006-03       Impact factor: 3.645

8.  Apolipoprotein C1 (APOC1) as a novel diagnostic and prognostic biomarker for lung cancer: A marker phase I trial.

Authors:  Hui-Ling Ko; Yu-Shan Wang; Weng-Lam Fong; Mau-Shin Chi; Kwan-Hwa Chi; Shang-Jyh Kao
Journal:  Thorac Cancer       Date:  2014-10-23       Impact factor: 3.500

9.  Apolipoprotein E and coronary disease: a puzzling paradox.

Authors:  Muredach Reilly; Daniel J Rader
Journal:  PLoS Med       Date:  2006-06       Impact factor: 11.069

10.  Discovery and identification of potential biomarkers of papillary thyroid carcinoma.

Authors:  Yuxia Fan; Linan Shi; Qiuliang Liu; Rui Dong; Qian Zhang; Shaobo Yang; Yingzhong Fan; Heying Yang; Peng Wu; Jiekai Yu; Shu Zheng; Fuquan Yang; Jiaxiang Wang
Journal:  Mol Cancer       Date:  2009-09-28       Impact factor: 27.401

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  9 in total

1.  Circulating Proteins Associated with Response and Resistance to Neoadjuvant Chemotherapy in HER2-Positive Breast Cancer.

Authors:  María Del Pilar Chantada-Vázquez; Mercedes Conde-Amboage; Lucía Graña-López; Sergio Vázquez-Estévez; Susana B Bravo; Cristina Núñez
Journal:  Cancers (Basel)       Date:  2022-02-21       Impact factor: 6.639

2.  Identification of High Serum Apolipoprotein A1 as a Favorable Prognostic Indicator in Patients with Multiple Myeloma.

Authors:  Lifan Liang; Jing Li; Hangcheng Fu; Xinyang Liu; Peng Liu
Journal:  J Cancer       Date:  2019-08-27       Impact factor: 4.207

Review 3.  Apolipoproteins and cancer.

Authors:  Liwen Ren; Jie Yi; Wan Li; Xiangjin Zheng; Jinyi Liu; Jinhua Wang; Guanhua Du
Journal:  Cancer Med       Date:  2019-10-01       Impact factor: 4.452

4.  Serum proteomics analysis of feline mammary carcinoma based on label-free and PRM techniques.

Authors:  Jia San Zheng; Ren Yue Wei; Zheng Wang; Ting Ting Zhu; Hong Ri Ruan; Xue Wei; Kai Wen Hou; Rui Wu
Journal:  J Vet Sci       Date:  2020-05       Impact factor: 1.672

5.  [Correlation between Pretreatment Serum Apolipoprotein Level and Prognosis of Small Cell Lung Cancer Patients].

Authors:  Ya Dong; Haocheng Wang; Dongfeng Shan; Linwei Zhang; Zhuang Yu
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2020-10-20

6.  Predictive value of preoperative platelet-to-albumin ratio and apolipoprotein B-to-apolipoprotein A1 ratio for osteosarcoma in children and adolescents: a retrospective study of 118 cases.

Authors:  Cong Ma; Ruizhen Li; Ronghui Yu; Jingjing Guo; Jianyun Xu; Xuhui Yuan; Jianfeng Guo
Journal:  BMC Cancer       Date:  2022-01-27       Impact factor: 4.430

7.  Circulating microvesicles and exosomes in small cell lung cancer by quantitative proteomics.

Authors:  Shona Pedersen; Katrine Papendick Jensen; Bent Honoré; Søren Risom Kristensen; Camilla Holm Pedersen; Weronika Maria Szejniuk; Raluca Georgiana Maltesen; Ursula Falkmer
Journal:  Clin Proteomics       Date:  2022-01-07       Impact factor: 3.988

Review 8.  FOXO transcription factor family in cancer and metastasis.

Authors:  Yannasittha Jiramongkol; Eric W-F Lam
Journal:  Cancer Metastasis Rev       Date:  2020-09       Impact factor: 9.264

9.  Oncogene APOL1 promotes proliferation and inhibits apoptosis via activating NOTCH1 signaling pathway in pancreatic cancer.

Authors:  Jiewei Lin; Zhiwei Xu; Junjie Xie; Xiaxing Deng; Lingxi Jiang; Hao Chen; Chenghong Peng; Hongwei Li; Jiaqiang Zhang; Baiyong Shen
Journal:  Cell Death Dis       Date:  2021-08-02       Impact factor: 8.469

  9 in total

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