Literature DB >> 27219019

Mutational analysis of anal cancers demonstrates frequent PIK3CA mutations associated with poor outcome after salvage abdominoperineal resection.

Wulfran Cacheux1,2, Etienne Rouleau2, Adrien Briaux2, Petros Tsantoulis3, Pascale Mariani4, Marion Richard-Molard5, Bruno Buecher6, Virginie Dangles-Marie7,8, Sophie Richon7, Julien Lazartigues2, Emmanuelle Jeannot9, Fereshteh Farkhondeh9, Xavier Sastre-Garau9, Anne de La Rochefordière10, Alain Labib4, Marie-Christine Falcou11, Denise Stevens11, Arnaud Roth3, Sergio Roman-Roman7, Emmanuel Mitry1, Ivan Bièche2, Astrid Lièvre1,12.   

Abstract

BACKGROUND: A better understanding of the molecular profile of anal squamous cell carcinomas (ASCCs) is necessary to consider new therapeutic approaches, and the identification of prognostic and predictive factors for response to treatment.
METHODS: We retrospectively analysed tumours from ASCC patients for mutational analysis of KRAS, NRAS, HRAS, BRAF, PIK3CA, MET, TP53 and FBXW7 genes by HRM and Sanger sequencing analysis.
RESULTS: Specimens from 148 patients were analysed: 96 treatment-naive tumours and 52 recurrences after initial radiotherapy (RT) or chemoradiotherapy (CRT). Mutations of KRAS, PIK3CA, FBXW7 and TP53 genes were present in 3 (2.0%), 30 (20.3%), 9 (6.1%) and 7 tumours (4.7%), respectively. The distribution of the mutations was similar between treatment-naive tumours and recurrences, except for TP53 mutations being more frequent in recurrences (P=0.0005). In patients treated with abdominoperineal resection (APR) after relapse (n=38, median follow-up of 18.2 years), overall survival (OS) was significantly correlated with HPV16 status (P=0.048), gender (P=0.045) and PIK3CA mutation (P=0.037). The PIK3CA status retained its prognostic significance in Cox multivariate regression analysis (P=0.025).
CONCLUSIONS: Our study identified PIK3CA mutation as an independent prognostic factor in patients who underwent APR for ASCC recurrence, suggesting a potential benefit from adjuvant treatment and the evaluation of targeted therapies with PI3K/Akt/mTor inhibitors in PIK3CA-mutated patients.

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Year:  2016        PMID: 27219019      PMCID: PMC4984471          DOI: 10.1038/bjc.2016.144

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Anal squamous cell carcinoma (ASCC) is a rare tumour that accounts for <5% of all lower gastrointestinal tract malignancies in Europe (Glynne-Jones ). The incidence of ASCC has increased steadily in the past decades, particularly in women (Forman ) and in men who have sex with men and those with HIV infection (Silverberg ). Infection from human papilloma virus (HPV) is the main aetiologic factor in the development of ASCC and >90% of patients are HPV positive (mainly HPV16 and 18) (Frisch ; Abramowitz ). Recent results of high-sensitivity HPV genotyping in a large series of ASCC patients showed a positivity rate of >95%. This supports the development of multivalent HPV vaccination for prevention (Baricevic ). Concomitant chemoradiotherapy (CRT) is the standard of care for locally advanced tumours (Flam ; Bartelink ; Cacheux ). So far, no predictive factor (to CRT) has been identified, excepted p16 expression, HPV status and TP53 mutations (Gilbert ; Koerber ; Serup-Hansen ; Baricevic ; Mai ; Meulendijks ; Rödel ). Salvage abdominoperineal resection (APR) is the standard treatment for local failure or recurrence after CRT, but 30 to 60% of operated patients will experience a locoregional and/or metastatic recurrence (Mullen ; Mariani ; Lefèvre ; Correa ). For these patients with an inoperable locally advanced or metastatic disease, very few treatments are available and their effectiveness is limited. New therapeutic approaches and predictive factors of outcome are required in this context. A better understanding of molecular markers involved in anal carcinogenesis might lead to the identification of new therapeutic targets as well as prognostic and predictive biomarkers. Recently, the potential effectiveness of anti-epidermal growth factor receptor (EGFR) monoclonal antibodies in advanced ASCC has been suggested by case reports (Lukan ; Barmetter ) that may be explained by both a high frequency of EGFR overexpression (80–90%) and the rarity of KRAS mutations in these tumours (Van Damme ; Paliga , Smaglo ). The incidence of other major gene alterations, especially those implicated in the EGFR pathway, has been rarely studied in ASCC. In the present study, we examined the mutation status of RAS (KRAS, NRAS and HRAS), BRAF, MET, FBXW7, TP53 and PIK3CA genes in a large series of 148 ASCC patients and correlated mutation status with clinicopathological characteristics and patient survival.

Materials and methods

Patient population

We retrospectively analysed tumours from ASCC patients consecutively treated from 1992 to 2015 at the Institut Curie Hospital. We included all consecutive patients for whom formalin-fixed, paraffin-embedded (FFPE) tumour tissue was available, and collected clinicopathological data and outcomes. This retrospective study was reviewed and approved by the Ethics Committee of the Institut Curie (No. A10-024). According to French regulations, patients were informed of research performed with the biological specimens obtained during their treatment and did not express opposition. Staging of the disease was based on the 7th revised edition (2010) of the AJCC Anus Cancer.

DNA extraction

Six tissue sections of 6 μm thickness were obtained from FFPE tissues and a seventh tissue section stained with HE staining. The tumour-rich areas were microdissected using a single-use blade and the samples underwent proteinase K digestion in a rotating incubator at 56 °C for 3 days. DNA was extracted with the NucleoSpin kit (Macherey-Nalgen, Hoerdt, France) according to the supplier recommendations in two separate aliquots that were analysed in parallel.

Gene mutation screening

The primer sequences used both for HRM and Sanger sequencing are shown in Supplementary Table 1. The majority of the HRM primers were designed to span the entire exons with product sizes under 200 bp. Primers were designed for KRAS (exons 2–4), HRAS (exons 2 and 3), NRAS, (exons 2 and 3), BRAF (exon 15), FBXW7 (exons 9 and 10), PIK3CA (exons 9 and 20), MET (exons 18 and 19) and TP53 genes (exons 4–8) (Supplementary Table 1). The PCR for HRM and Sanger sequencing analysis was performed on a 384-well plate in the presence of the fluorescent DNA intercalating dye, LC green (Idaho Technology, Salt Lake City, UT, USA) in a LightCycler480 (Roche Diagnosis, Meylan, France). The reaction mixture in a 15 μl final volume contained LC green, UDP Glycosylase (Roche) and Roche Master Mix (Roche). The cycling and melting conditions were as follows: with an initial cycle of 10 min at 40 °C, one cycle of 95 °C for 10 min; 50 cycles of 95 °C for 10 s, 55–65 °C for 10 s, 72 °C for 30 s; one cycle of 97 °C for 1 min and a melt from 70 °C to 95 °C rising 0.2 °C per s. Depending on the melting temperature, a touchdown approach was done for some primers. All samples were tested in duplicate. The HRM data were analysed using the Genescan software (Roche). All samples including the wild-type exons were plotted according to their melting profiles on the differential plot graph. Any difference of the horizon line based on the wild-type sample was sequenced with Sanger sequencing.

Sanger sequencing

The reaction mixture in a total of 50 μl was made using 1 μl of PCR products without first purification followed by a sequencing reaction with Big Dye Terminator v3.1 (Thermofisher, Courtaboeuf, France) according to the manufacturer's protocol. The sequencing products were purified with a Sephadex gel (GE Healthcare, Velizy-Villacoublay, France) before running on a 3500 Genetic Analyser (Applied Biosystems, Foster City, CA, USA). The sequencing data were visualised using Finch TV (Geospiza, Inc., Seattle, WA, USA) with detection sensibility of 10% mutated cells.

HPV detection

From 1998 to 2013, all samples were analysed by PCR using specific primers to identify HPV16, 18, 33, 45, 6 and 11 types and using GP5+/GP6+ primers to detect HPV L1 DNA as previously described (Lombard ). After 2013, real-time PCR using Sybr Green (Roche Diagnostics, Mannheim, Germany) and specific primers for HPV16, 18 and 33 and the human GAPDH gene was performed on a 7900HT Fast Real-Time PCR System (Applied Biosystems). HPV L1 amplicons from HPV16-, 18- and 33-negative samples were sequenced by Sanger method with GP6+ primer and HPV type identification was performed by alignment of the sequence with HPV sequence references, using the nucleotide blast program from NCBI (http://blast.ncbi.nlm.nih.gov/Blast.cgi).

Statistical analysis

The statistical analysis plan was predefined jointly by the authors. Overall survival (OS) was defined as the period from the first day of radiotherapy (RT) or CRT to death from any cause. Data on patients who were alive at the end of follow-up (November 2015) were regarded as censored. Progression-free survival (PFS) was defined as the period from the first day of RT or RCT to the date of first disease progression or death from any cause. Cox univariate and multivariate regression was used for survival analysis and Fisher's exact test was used for the analysis of contingency tables. All statistical tests were two sided and P-values of <0.05 were considered statistically significant. All analyses have been implemented in R version 3.2.1 R Development Core Team, 2013. The applicable R code can be found in the Supplementary Information.

Results

Tumour and patient characteristics

A total of 148 ASCC samples from patients treated in our institution were included and analysed in our gene mutation screening as summarised in the consort diagram (Figure 1): 96 tumours were treatment naive and 52 were samples from recurrence after initial RT or CRT. In total, 142 tumours (95.9%) were HPV positive among which 131 tumours (88.5%) had HPV16 infection. Only 16 patients (10.8%) had HIV infection. In the HIV+ population (n=16), all patients had concomitant HPV infection: 11 HPV16, 2 HPV18, 2 HPV6–11 and 1 HPV33. In the HIV− population (n=132), 6 patients had no HPV infection and 126 had concomitant HPV infection: 120 HPV16, 1 HPV6–11, 1 HPV33, 2 HPV35, 1 HPV59 and 1 HPV67. Tumour characteristics according to the treatment-naive or recurrence status of samples are summarised in Table 1.
Figure 1

Consort diagram of the study.

Table 1

Clinicopathological features of treatment-naive and recurrence tumour samples with subsequent treatment received (n=148)

 Treatment-naive tumourTumour recurrence
Totaln=96n=52
Gender
Female7737
Male1915
Site of tumour samples
Anus9142
Lymph node55
Liver3
Other site2
Concomitant HIV infection
Yes79
No8943
Tumour differentiation
Poor811
Moderate/well8841
HPV status
HPV positive9547
Genotype 169041
Other genotypes (6–11/33/35/67)5 (1/1/2/1)6 (2/2/1/1)
HPV negative15
Prognostic groups (AJCC 2010)
I77
II3518
IIIA216
IIIB2413
IV (liver/lymph node)5 (4/1)3 (2/1)
ND45
Initial therapya
Surgery (local excision/APR):25
 alone5
 followed by RT11
 followed by CRT9
Radiation1121
Chemoradiation:5731
 with concomitant 5FU-CDDP4726
 with concomitant 5FU-MMC53
 with other concomitant CT52
Chemotherapy1
No treatment2

Abbreviations: AJCC=American Joint Committee on Cancer; APR=abdominoperineal resection; CRT=chemoradiotherapy; CT=chemotherapy; HIV=human immunodeficiency virus; HPV=human papilloma virus; ND=not determined; RT=radiotherapy; 5FU-CDDP=5-fluorouracil-cisplatin; 5FU-MMC=5fluorouracil-mitomycin C.

Treatment received after diagnostic tumour samples for treatment-naive tumours and initial treatment received for tumour recurrence samples.

There were 114 females and 34 males. The median age at the diagnosis was 61 years (range: 37–96 years). Twenty-five patients were treated by initial surgery: exclusive surgery (n=5) and surgery followed by RT (n=11) or RCT (n=19). Thirty-two patients were treated by initial RT and 88 by initial CRT. One was treated by chemotherapy for an initial metastatic disease and 2 were not treated after the initial diagnosis. Only 16 patients (10.8%) had HIV infection. Forty-five patients underwent APR: 40 for local recurrence after RT or RCT, 3 at diagnosis and 2 for suspicion of local recurrence with complete histological response on surgical specimens. The median follow-up of 148 patients was 3.3 years (range: 0.2–39.6 years). Of the 148 tumours, 3 (2.0%) showed a KRAS exon 2 mutation, 30 (20.3%) a PIK3CA mutation, 9 (6.1%) a FBXW7 mutation and 7 (4.7%) a TP53 mutation (Table 2A and Supplementary Table 2). Five tumours (3.4%) had 2 synchronous mutations concerning these previous genes (PIK3CA/FBXW7 mutations in 3 tumours, KRAS/TP53 in 1 tumour and FBXW7/TP53 in 1 tumour). All tumours were wild type for HRAS, NRAS, BRAF and MET genes. In 15 ASCC patients, we analysed several available samples obtained at different therapeutic times or in different sites. We observed a total concordance of the Sanger analysis in 12 patients but the mutational profile was different between samples for 3 patients (Table 2B).
Table 2

(A) Prevalence of identified mutations in the 148 ASCC samples and distribution among treatment-naive tumours and tumour recurrences. (B) Heterogeneity of mutational profiles in different tumour samples from the same patient (n=3)

(A)
GenesKRASHRASNRASBRAFPIK3CAMETFBXW7TP53
Total (%) (n=148)3 (2.0%)00030 (20.3%)09 (6.1%)7 (4.7%)
ExonsExon 2: 3Exon 9: 27Exon 9: 1Exon 4: 1
     Exon 20: 3 Exon 10: 8Exon 6: 1
        Exon 7: 2
        Exon 8: 3
Treatment-naive samples (%) (n=96)1 (1.1%)19 (19.8%)4 (4.2%)0 (0%)
Samples from recurrence (%) (n=52)2 (3.8%)11 (21.2%)5 (9.6%)7 (13.5%)
P (Fisher's test)NSNSNS0.0005

Abbreviations: ASCC=anal squamous cell carcinoma; NS=not significant.

Correlation between gene mutations and clinicopathological features and prognostic value

The distribution of the mutations was similar between treatment-naive tumours and tumour recurrences, except for TP53 mutations (Table 2A). We found that TP53 mutations were restricted to recurrence samples: 7 of 52 (13.5%) tumour recurrences vs 0 of 96 (0%) treatment-naive tumours (Fisher's test, P=0.0005). Moreover, we observed that TP53 mutations were more frequently associated with HPV16negative samples: 3 of 131 (2.3%) HPV16-positive tumours vs 4 of 17 (23.5%) HPV16-negative tumours (Fisher's test, P=0.003). As the site and therapeutic status of tumour samples were heterogeneous in this large retrospective cohort of ASCC patients, we focussed our tumour analysis on homogenous groups of patients to study the association between mutational status and clinicopathological characteristics of the patients, and the impact of these parameters on OS. We also excluded nontreated tumours, tumours with ongoing treatment and those without sufficient follow-up (<6 months) in our prognostic analysis. We identified a first group of treatment-naive tumours from 57 ASCC patients treated by initial exclusive CRT with a median follow-up of 3.1 years (range: 0.3–14 years) (Supplementary Table 3). Overall, recurrence rate was 24.6% (n=14 of 57). All tumours were HPV positive and 52 of 57 (91,2%) had HPV type 16. Only 1 (1.7%) KRAS, 3 (5.3%) FBXW7 and 1 (1.7%) TP53 mutations were identified in this group, whereas PIK3CA mutations were identified in 10 (17.5%) of them (8 in exon 9 and 2 in exon 20). No association was found between PIK3CA mutations and clinicopathological characteristics of patients (data not shown). Moreover, no correlation was found between PI3KCA mutation and PFS or OS (Supplementary Table 4). We also selected a second group of 40 recurrent tumour samples from ASCC patients who underwent APR for local recurrence after initial RT or CRT. We excluded 2 samples from patients who died early after APR from postoperative complications (at day 6 and 10 respectively). We obtained a final cohort of 38 ASCC samples with a median follow-up of 18.2 years (range: 0.82–39.6 years). Overall, recurrence rate was 57.9% (n=22 of 38). Clinicopathological characteristics of this group of patients are summarised in Table 3. PIK3CA, FBXW7 and TP53 mutations were identified in 11 (28.9%), 5 (13.2%) and 4 (10.5%) recurrent tumours out of 38 respectively. No association was found between PIK3CA mutations and clinicopathological characteristics (Supplementary Table 5). A significant correlation by univariate Cox regression analysis was found between OS and gender (P=0.045), HPV16 status (P=0.048) and PIK3CA mutation (P=0.037) (Table 4 and Figure 2). Multivariate Cox analysis showed that HPV16 status (P=0.004), HIV status (P=0.032) and PIK3CA mutation (P=0.025) were independent prognostic factors (Table 4).
Table 3

Clinicopathological features of the 38 tumour relapse samples from APR after initial RT/CRT

Totaln=38
Gender
Female29
Male9
Concomitant HIV infection
Yes7
No31
HPV status
HPV positive34
 genotype 1629
 other genotypes (6–11/18/33/59)5 (1/2/1/1)
HPV negative4
Initial therapy before APR
Radiation14
Chemoradiation with 5FU-CDDP20
Chemoradiation with 5FU-MMC3
Chemoradiation with other CT1
Pathological results
Tumour differentiation 
 Poor6
 Moderate/well32
ypT stage 
 T01
 T15
 T219
 T39
 T43
 ND1
ypN stage 
 N−31
 N+7
Vascular emboli 
 Yes8
 No30
Lymphatic invasion 
 Yes9
 No29
Perineural invasion 
 Yes10
 No28
R1 resection 
 Yes8
 No30
PIK3CA mutation
Yes11
 Exon 910
  c.1624G>A;p.E542K5
  c.1633G>A:p.E545K5
 Exon 201
No27
FBXW7 mutation
Yes5
No33
TP53 mutation
Yes4
No34

Abbreviations: APR=abdominoperineal resection; CRT=chemoradiotherapy; CT=chemotherapy; HIV=human immunodeficiency virus; HPV=human papilloma virus; ND=not determined; RT=radiotherapy; 5FU-CDDP=5-fluorouracil-cisplatin; 5FU-MMC=5fluorouracil-mitomycin C.

Table 4

Overall survival according to clinicopathological and mutational characteristics of the 38 patients who underwent APR for tumour recurrence after RT/CRT

 Univariate analysis
Multivariate analysis
 HR95% IntervalPHR95% IntervalP
Gender (male)3.0341.0268.9680.045NSa
ypT stage (T3–T4 vs T1–T2)1.3620.7702.4110.288    
ypN+ stage2.3020.7926.7000.1263.1080.86111.2110.083
R1 resection2.3980.7707.4630.131NSa
Moderate/well tumoural differentiation0.6110.1981.8850.391    
Vascular emboli1.3920.4504.3090.566    
Lymphatic invasion1.0310.3343.1810.958    
Perineural invasion1.0630.3733.0340.909    
HPV16-positive status0.3440.1190.9900.0480.1550.0430.5580.004
HIV-positive status2.7000.8668.3900.0874.2591.13016.0540.032
Initial therapy (CRT vs RT)1.4300.5253.8950.482    
PIK3CA mutation2.8081.0667.3940.0373.7291.18011.7810.025
FBXW7 mutation0.6680.1512.9500.595    
TP53 mutation0.5900.1332.6090.486    

Abbreviations: APR=abdominoperineal resection; CRT=chemoradiotherapy; HIV=human immunodeficiency virus; HPV=human papilloma virus; HR=hazard ratio; NS=not significant; RT=radiotherapy.

Univariate and multivariate Cox regression. Bold entries are used for significative P data values which are <0.05 (as explained in the statistical analysis).

Contribution to the model was not significant after stepwise reduction.

Figure 2

Overall survival depending on the PIK3CA mutation in the 38 relapse APR patients after initial RT/RCT (P=0.025).

Discussion

ASCC is known to be a very well radiosensitive tumour but 20% of patients failed to CRT, and no predictive markers of response have been prospectively validated. Moreover, in case of recurrence after RT/CRT, APR is the treatment of choice without any prognostic factor identified or any adjuvant treatment recommendation, although at least 50% of patients experience recurrence after this surgery (Mullen ; Mariani ; Lefèvre ; Correa ). In this context, a better biological and molecular characterisation of anal carcinogenesis is needed to improve the medical care of ASCC patients by identifying new therapeutic targets or prognostic biomarkers. In the present study, which is the largest retrospective cohort of ASCC samples analysed by sequencing for multiple genes with complete clinicobiological data and long-term patient outcome available, we found frequent PIK3CA mutations (20.3%), as observed in previous smaller studies identifying PIK3CA mutation in 22% (11 out of 53, by pyrosequencing) and 32.5% (28 out of 86, by next-generation sequencing) of tumours (Casadei Gardini ; Smaglo ). The high level of PIK3CA mutation in ASCC provides a rationale to evaluate specific inhibitors of the PIK3CA/Akt/mTor pathway as demonstrated in preclinical models (Stelzer ; Sun ). We identified very few KRAS exon 2 mutations (2.3%), in line with previous studies reporting low rates (Van Damme ; Martin ; Smaglo ) or the absence of KRAS mutations (Paliga ; Gilbert ; Casadei Gardini ) that could explain the effectiveness of EGFR monoclonal antibodies observed in ASCC patients (Lukan ). The TP53 mutations were also rarely described in the literature, although a high frequency of TP53 protein expression is reported (Patel ). In our series, we confirm the low frequency of TP53 mutations (5.3%) but we found they were restricted to recurrence samples and more frequently associated to HPV16-negative samples. As observed in our cohort, it was recently reported that TP53 mutations were correlated with HPV16-negative status, predictive of resistance to RT/CRT and correlated with a poor prognosis in ASCC patients (Meulendijks ). The same correlation between HPV status and TP53 mutations was previously described in head and neck cancer (Westra ). We also focussed our gene screening on FBXW7 gene. Mutations of FBXW7 gene have been frequently reported in not only various squamous cell carcinomas (Agrawal ; Gao ; Ojesina ) but also adenocarcinoma (The Cancer Genome Atlas Network, 2012; Laforest ; The Cancer Genome Atlas Research Network, 2014) and melanoma where a protein inactivation was found (Aydin ). For the first time, we report FBXW7 mutations in 6% of ASCC. FBWX7 is known to be a key regulator of the cell cycle involved in the maintenance of normal stem cells and cancer-initiating cells (Takeishi and Nakayama, 2014). It could act as a critical tumour suppressor gene by targeting the NOTCH1 oncoprotein and therefore be an effective biomarker for the evaluation of Notch inhibitors in ASCC (Aydin ). Our study finally shows that HRAS, NRAS, BRAF and MET genes are not mutated in ASCC. Of note, we observed a different gene mutational status in 3 out of 15 patients for whom several tumour samples were available. For one of them, this could be the consequence of CRT on tumour DNA as the different mutational profiles were obtained from anal treatment-naive and pretreated samples respectively. For the two remaining patients, we can make the assumption of tumour heterogeneity as the different mutational profiles were observed in samples from two different tumour sites. Our study is the first one assessing the relation between clinicopathological characteristics and mutational status of several genes in a large series of ASCC patients with details on treatments received, allowing an exploratory assessment of gene mutation predictive and prognostic value. In the large biomarker analysis of 199 ASCCs recently reported by Smaglo ), only part of the tumours were the subject of a gene sequencing (8 to 86 according to the gene analysed) and almost no clinicopathological information was available, therefore avoiding any correlation to be performed. In another series of 103 ASCC patients, paraffin-embedded tumour tissue was sufficient to perform analysis of KRAS, BRAF and PIK3CA gene mutation in only 50 patients (Casadei Gardini ). In our study, none of the gene mutations identified was associated with clinicopathological characteristics. Casadei Gardini ) also found no association between PIK3CA mutations (found in 22% of cases) and clinical characteristics. Several studies have reported on potential prognostic and predictive biomarkers of response to RT/CRT in ASCC (Lampejo ; Myklebust ; Fraunholz ) but none of them was a gene mutation and none has been sufficiently validated to be used in clinical practice. In our large cohort, we selected 2 homogenous groups of patients regarding the treatments received to analyse: (1) the prognostic and predictive value on response to treatment of identified mutations in treatment-naive samples of patients exclusively treated by CRT (n=57) and (2) the prognostic value of identified mutations after APR for local recurrence following RT/CRT (n=38). In the naive tumours treated by CRT, PIK3CA mutation identified on pretreatment samples was not found prognostic or predictive of response to CRT. This result is concordant with the study of Casadei Gardini ) in which PI3KCA mutation was not associated with PFS or OS of patients treated by CRT. The predictive impact of this mutation on tumour response to CRT was not explored in this study (Casadei Gardini ). We could not study the prognostic or predictive value of KRAS, FBXW7 and TP53 mutations given their low frequency in our study. To our knowledge, this is the first study assessing gene mutations as potential prognostic biomarkers in ASCC patients who underwent APR for local recurrence after RT or RCT. After multivariate Cox analysis we identified three independent factors associated with worse survival: a negative HPV16 status (P=0.004) and a positive HIV infection (P=0.032), which has already been reported (Wexler ; Yhim ), and also the presence of PIK3CA gene mutation (P=0.025) that is identified for the first time as a new independent prognostic marker in this setting. Of course, the prognosis value of PIK3CA mutations we report need to be validated in an independent and larger prospective cohort of ASCC, considering the relatively small sample size of our series. These PIK3CA mutations have been previously reported to be associated with poor prognostic in colorectal cancer (Barault ; Ogino ) but data in cervical squamous cell carcinoma are more divergent with both an association with better OS in early tumour stages (McIntyre ) and a poor response following standard CRT in more advanced stages (de la Rochefordiere ). Finally, gynecological cancer patients with PIK3CA mutations are more responsive to PI3K/Akt/mTor inhibitors than nonmutated patients (Husseinzadeh and Husseinzadeh, 2014). These results, together with our findings, suggest that PIK3CA mutations might play a major role in HPV-related squamous cell carcinoma, including anal carcinogenesis, especially in mechanisms of resistance to RT or CRT. They provide a rationale for the use of PI3K/Akt/mTor pathway inhibitors in radioresistant tumours, particularly in adjuvant setting after APR. Aspirin therapy, recently shown to be of particular efficacy in adjuvant treatment of PIK3CA-mutated colorectal cancer, could be another therapeutic option in this setting (Liao ). In addition, there are recent data suggesting that the host immune reaction mediates response (Gilbert ) via tumour-infiltrating lymphocytes. These data suggest the evaluation of immunotherapy in anal cancer, whose efficiency might be enhanced by cyclooxygenase inhibitors such as aspirin (Zelaney ).
  52 in total

1.  PIK3CA Pathway Mutations Predictive of Poor Response Following Standard Radiochemotherapy ± Cetuximab in Cervical Cancer Patients.

Authors:  Anne de la Rochefordiere; Maud Kamal; Anne Floquet; Laurence Thomas; Peter Petrow; Thierry Petit; Marius Pop; Michel Fabbro; Christine Kerr; Florence Joly; Emmanuel Sevin; Sophie Maillard; Hervé Curé; Béatrice Weber; Claire Brunaud; Mathieu Minsat; Laurence Gonzague; Dominique Berton-Rigaud; Maud Aumont; Laurence Gladieff; Karine Peignaux; Virginie Bernard; Quentin Leroy; Ivan Bieche; Audrey Margogne; AnaTereza Nadan; Virginie Fourchotte; Alhassane Diallo; Benard Asselain; Corine Plancher; Sébastien Armanet; Philippe Beuzeboc; Suzy M Scholl
Journal:  Clin Cancer Res       Date:  2015-02-27       Impact factor: 12.531

2.  Anal cancer: ESMO-ESSO-ESTRO clinical practice guidelines for diagnosis, treatment and follow-up.

Authors:  R Glynne-Jones; P J Nilsson; C Aschele; V Goh; D Peiffert; A Cervantes; D Arnold
Journal:  Eur J Surg Oncol       Date:  2014-10       Impact factor: 4.424

3.  ERBB2 gene as a potential therapeutic target in small bowel adenocarcinoma.

Authors:  Anais Laforest; Thomas Aparicio; Aziz Zaanan; Fabio Pittella Silva; Audrey Didelot; Aurélien Desbeaux; Delphine Le Corre; Leonor Benhaim; Karine Pallier; Daniela Aust; Steffen Pistorius; Hélène Blons; Magali Svrcek; Pierre Laurent-Puig
Journal:  Eur J Cancer       Date:  2014-05-02       Impact factor: 9.162

4.  Abdominoperineal resection for anal cancer.

Authors:  P Mariani; A Ghanneme; A De la Rochefordière; J Girodet; M C Falcou; R J Salmon
Journal:  Dis Colon Rectum       Date:  2008-06-03       Impact factor: 4.585

5.  PIK3CA mutational status and overall survival in patients with cervical cancer treated with radical chemoradiotherapy.

Authors:  John B McIntyre; Jackson S Wu; Peter S Craighead; Tien Phan; Martin Köbel; Susan P Lees-Miller; Prafull Ghatage; Anthony M Magliocco; Corinne M Doll
Journal:  Gynecol Oncol       Date:  2012-12-22       Impact factor: 5.482

6.  Prognostic Relevance of HPV Infection and p16 Overexpression in Squamous Cell Anal Cancer.

Authors:  Sabine Mai; Grit Welzel; Martine Ottstadt; Frank Lohr; Sebastin Severa; Elena-Sophie Prigge; Nicolas Wentzensen; Marcus J Trunk; Frederik Wenz; Magnus von Knebel-Doeberitz; Miriam Reuschenbach
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-08-07       Impact factor: 7.038

Review 7.  Prognostic biomarkers in squamous cell carcinoma of the anus: a systematic review.

Authors:  T Lampejo; D Kavanagh; J Clark; R Goldin; M Osborn; P Ziprin; S Cleator
Journal:  Br J Cancer       Date:  2010-11-09       Impact factor: 7.640

Review 8.  Role of Fbxw7 in the maintenance of normal stem cells and cancer-initiating cells.

Authors:  S Takeishi; K I Nakayama
Journal:  Br J Cancer       Date:  2014-05-22       Impact factor: 7.640

9.  Cyclooxygenase-Dependent Tumor Growth through Evasion of Immunity.

Authors:  Santiago Zelenay; Annemarthe G van der Veen; Jan P Böttcher; Kathryn J Snelgrove; Neil Rogers; Sophie E Acton; Probir Chakravarty; Maria Romina Girotti; Richard Marais; Sergio A Quezada; Erik Sahai; Caetano Reis e Sousa
Journal:  Cell       Date:  2015-09-03       Impact factor: 41.582

10.  Tumour-infiltrating lymphocyte scores effectively stratify outcomes over and above p16 post chemo-radiotherapy in anal cancer.

Authors:  Duncan C Gilbert; Eva Serup-Hansen; Dorte Linnemann; Estrid Høgdall; Charles Bailey; Jeff Summers; Hanne Havsteen; Gareth J Thomas
Journal:  Br J Cancer       Date:  2016-01-05       Impact factor: 7.640

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  19 in total

Review 1.  Pharmacotherapy of Anal Cancer.

Authors:  Jane E Rogers; Cathy Eng
Journal:  Drugs       Date:  2017-09       Impact factor: 9.546

2.  Genetic Profile and Functional Proteomics of Anal Squamous Cell Carcinoma: Proposal for a Molecular Classification.

Authors:  Lucía Trilla-Fuertes; Ismael Ghanem; Angelo Gámez-Pozo; Joan Maurel; Laura G-Pastrián; Marta Mendiola; Cristina Peña; Rocío López-Vacas; Guillermo Prado-Vázquez; Elena López-Camacho; Andrea Zapater-Moros; Victoria Heredia; Miriam Cuatrecasas; Pilar García-Alfonso; Jaume Capdevila; Carles Conill; Rocío García-Carbonero; Ricardo Ramos-Ruiz; Claudia Fortes; Carlos Llorens; Paolo Nanni; Juan Ángel Fresno Vara; Jaime Feliu
Journal:  Mol Cell Proteomics       Date:  2020-02-27       Impact factor: 5.911

3.  Molecular characterization of squamous cell carcinoma of the anal canal.

Authors:  Mohamed E Salem; Benjamin A Weinberg; Samantha A Armstrong; Rita Malley; Hongkun Wang; Heinz-Josef Lenz; David Arguello; Wafik S El-Deiry; Joanne Xiu; Zoran Gatalica; Jimmy J Hwang; Philip A Philip; Anthony F Shields; John L Marshall
Journal:  J Gastrointest Oncol       Date:  2021-10

Review 4.  Metastatic or Locally Recurrent Anal Squamous Cell Carcinoma (SCAC): Current Clinical Trial Landscape and Novel Approaches.

Authors:  Jane E Rogers; Michael Leung; Benny Johnson
Journal:  Cancer Manag Res       Date:  2022-06-21       Impact factor: 3.602

5.  Genomic Landscape of Primary and Recurrent Anal Squamous Cell Carcinomas in Relation to HPV Integration, Copy-Number Variation, and DNA Damage Response Genes.

Authors:  Jordan Aldersley; David R Lorenz; Kent W Mouw; Alan D D'Andrea; Dana Gabuzda
Journal:  Mol Cancer Res       Date:  2021-04-21       Impact factor: 5.852

6.  Activating Mutations in Pik3ca Contribute to Anal Carcinogenesis in the Presence or Absence of HPV-16 Oncogenes.

Authors:  Myeong-Kyun Shin; Susan Payne; Andrea Bilger; Kristina A Matkowskyj; Evie Carchman; Dominique S Meyer; Mohamed Bentires-Alj; Dustin A Deming; Paul F Lambert
Journal:  Clin Cancer Res       Date:  2018-12-07       Impact factor: 13.801

7.  Molecular and immunophenotypic characterization of anal squamous cell carcinoma reveals distinct clinicopathologic groups associated with HPV and TP53 mutation status.

Authors:  Xiaoqin Zhu; Sarah Jamshed; Jian Zou; Azniv Azar; Xiuling Meng; Venu Bathini; Karen Dresser; Cara Strock; Bhargavi Yalamarti; Michelle Yang; Keith Tomaszewicz; George Tjionas; Mark C Mochel; Lloyd Hutchinson; Jacob R Bledsoe
Journal:  Mod Pathol       Date:  2021-01-22       Impact factor: 8.209

Review 8.  Research on Anal Squamous Cell Carcinoma: Systemic Therapy Strategies for Anal Cancer.

Authors:  Ryan M Carr; Zhaohui Jin; Joleen Hubbard
Journal:  Cancers (Basel)       Date:  2021-05-01       Impact factor: 6.639

9.  Polo-like kinase 3 and phosphoT273 caspase-8 are associated with improved local tumor control and survival in patients with anal carcinoma treated with concomitant chemoradiotherapy.

Authors:  Franz Rödel; Daniel Martin; Christina Helmke; Panagiotis Balermpas; Emmanouil Fokas; Ulrike Wieland; Margret Rave-Fränk; Julia Kitz; Yves Matthess; Monika Raab; Klaus Strebhardt; Claus Rödel
Journal:  Oncotarget       Date:  2016-08-16

10.  Exome sequencing reveals aberrant signalling pathways as hallmark of treatment-naive anal squamous cell carcinoma.

Authors:  Wulfran Cacheux; Virginie Dangles-Marie; Etienne Rouleau; Julien Lazartigues; Elodie Girard; Adrien Briaux; Pascale Mariani; Sophie Richon; Sophie Vacher; Bruno Buecher; Marion Richard-Molard; Emmanuelle Jeannot; Nicolas Servant; Fereshteh Farkhondeh; Odette Mariani; Thomas Rio-Frio; Sergio Roman-Roman; Emmanuel Mitry; Ivan Bieche; Astrid Lièvre
Journal:  Oncotarget       Date:  2017-12-08
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